Machine Learning Research Topics for MS PhD
Machine Learning Research Topic ideas for MS, or Ph.D. Degree
I am sharing with you some of the research topics regarding Machine Learning that you can choose for your research proposal for the thesis work of MS, or Ph.D. Degree.
- Applications of machine learning to machine fault diagnosis: A review and roadmap
- Significant applications of machine learning for COVID-19 pandemic
- Quantum chemistry in the age of machine learning
- A survey on machine learning for data fusion
- Artificial intelligence and machine learning to fight COVID-19
- Machine learning for molecular simulation
- A survey on distributed machine learning
- Explainable machine learning for scientific insights and discoveries
- When Machine Learning Meets Privacy: A Survey and Outlook
- Machine learning testing: Survey, landscapes and horizons
- Machine learning and psychological research: The unexplored effect of measurement
- Universal differential equations for scientific machine learning
- Machine learning for active matter
- Exploring chemical compound space with quantum-based machine learning
- Ten challenges in advancing machine learning technologies toward 6G
- Machine learning for materials scientists: An introductory guide toward best practices
- Lessons from archives: Strategies for collecting sociocultural data in machine learning
- Tslearn, a machine learning toolkit for time series data
- A snapshot of the frontiers of fairness in machine learning
- How machine learning will transform biomedicine
- An introduction to machine learning
- Machine learning for protein folding and dynamics
- DScribe: Library of descriptors for machine learning in materials science
- Advances of four machine learning methods for spatial data handling: A review
- New machine learning method for image-based diagnosis of COVID-19
- Applications of machine learning methods for engineering risk assessment–A review
- A critical review of machine learning of energy materials
- State-of-the-art on research and applications of machine learning in the building life cycle
- Elastic machine learning algorithms in amazon sagemaker
- Applications of machine learning to diagnosis and treatment of neurodegenerative diseases
- Assessment of supervised machine learning methods for fluid flows
- Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets
- First-order and Stochastic Optimization Methods for Machine Learning
- Explainable machine learning in deployment
- Machine learning for enterprises: Applications, algorithm selection, and challenges
- Multiscale modeling meets machine learning: What can we learn?
- Machine learning from a continuous viewpoint, I
- Machine learning applications in systems metabolic engineering
- Single trajectory characterization via machine learning
- Adversarial machine learning-industry perspectives
- Machine learning approaches for thermoelectric materials research
- Machine learning approaches for analyzing and enhancing molecular dynamics simulations
- Open graph benchmark: Datasets for machine learning on graphs
- Preparing medical imaging data for machine learning
- On hyperparameter optimization of machine learning algorithms: Theory and practice
- Machine learning techniques for the diagnosis of Alzheimer’s disease: A review
- CRISPR-based surveillance for COVID-19 using genomically-comprehensive machine learning design
- Combining SchNet and SHARC: The SchNarc machine learning approach for excited-state dynamics
- Personality research and assessment in the era of machine learning
- Machine learning force fields
- Automated machine learning: Review of the state-of-the-art and opportunities for healthcare
- Applications of artificial intelligence and machine learning in smart cities
- Machine learning and wearable devices of the future
- Integrating physics-based modeling with machine learning: A survey
- The non-iid data quagmire of decentralized machine learning
- Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance
- Machine learning and soil sciences: A review aided by machine learning tools
- Machine learning and deep learning techniques for cybersecurity: a review
- Identifying ethical considerations for machine learning healthcare applications
- Introduction to machine learning
- Machine learning for quantum matter
- Machine learning for glass science and engineering: A review
- Machine learning for continuous innovation in battery technologies
- An introduction to machine learning
- Applying machine learning in science assessment: a systematic review
- Machine learning for interatomic potential models
- Machine learning using intrinsic genomic signatures for rapid classification of novel pathogens: COVID-19 case study
- FCHL revisited: Faster and more accurate quantum machine learning
- Machine-learning-assisted synthesis of polar racemates
- Clinical text data in machine learning: Systematic review
- Machine learning for genetic prediction of psychiatric disorders: a systematic review
- Wake modeling of wind turbines using machine learning
- A survey of surveys on the use of visualization for interpreting machine learning models
- Big-data science in porous materials: materials genomics and machine learning
- Machine learning
- The rise of machine learning for detection and classification of malware: Research developments, trends and challenges
- Building thermal load prediction through shallow machine learning and deep learning
- Machine learning technology in biodiesel research: A review
- Machine learning driven smart electric power systems: Current trends and new perspectives
- What role does hydrological science play in the age of machine learning?
- Early diagnosis of hepatocellular carcinoma using machine learning method
- Image-based cardiac diagnosis with machine learning: a review
- Unsupervised machine learning and band topology
- Cybersecurity data science: an overview from machine learning perspective
- A survey of visual analytics techniques for machine learning
- Quantum embeddings for machine learning
- M3DISEEN: A novel machine learning approach for predicting the 3D printability of medicines
- Coronavirus Disease (COVID-19): A Machine learning bibliometric analysis
- Special issue on machine learning and data-driven methods in fluid dynamics
- A hybrid deep transfer learning model with machine learning methods for face mask detection in the era of the COVID-19 pandemic
- Metallurgy, mechanistic models and machine learning in metal printing
- A perspective on using machine learning in 3D bioprinting
- COVID-19 pandemic prediction for Hungary; a hybrid machine learning approach
- The relationship between trust in AI and trustworthy machine learning technologies
- Improving reproducibility in machine learning research (a report from the neurips 2019 reproducibility program)
- COVID-19 future forecasting using supervised machine learning models
- Mapping landslides on EO data: Performance of deep learning models vs. traditional machine learning models
- A biochemically-interpretable machine learning classifier for microbial GWAS
- Identifying scenarios of benefit or harm from kidney transplantation during the COVID‐19 pandemic: a stochastic simulation and machine learning study
- Machine learning analysis of whole mouse brain vasculature
- Machine learning in python: Main developments and technology trends in data science, machine learning, and artificial intelligence
- Machine Learning Calabi–Yau Metrics
- Opening the black box: Interpretable machine learning for geneticists
- Machine learning in additive manufacturing: State-of-the-art and perspectives
- Machine learning approach to identify stroke within 4.5 hours
- Machine-learning quantum states in the NISQ era
- Machine learning as an early warning system to predict financial crisis
- Interpretable machine learning
- Landslide identification using machine learning
- Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning
- Recent advances on constraint-based models by integrating machine learning
- Machine Learning in oncology: A clinical appraisal
- Polymer design using genetic algorithm and machine learning
- Performance evaluation of machine learning methods for forest fire modeling and prediction
- Machine learning approach for confirmation of covid-19 cases: Positive, negative, death and release
- Learning earth system models from observations: machine learning or data assimilation?
- Machine Learning Meets Quantum Physics
- Clinical applications of continual learning machine learning
- Machine learning: accelerating materials development for energy storage and conversion
- Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review
- A review on machine learning forecasting growth trends and their real-time applications in different energy systems
- A systematic literature review on machine learning applications for sustainable agriculture supply chain performance
- Machine learning in geo-and environmental sciences: From small to large scale
- Blockchain and machine learning for communications and networking systems
- Machine learning and natural language processing in psychotherapy research: Alliance as example use case.
- Machine Learning for Solar Array Monitoring, Optimization, and Control
- Comparing the prediction performance of a Deep Learning Neural Network model with conventional machine learning models in landslide susceptibility assessment
- Machine learning in agricultural and applied economics
- AutoML-zero: evolving machine learning algorithms from scratch
- A comprehensive survey of loss functions in machine learning
- COVID-19 epidemic analysis using machine learning and deep learning algorithms
- Attention in psychology, neuroscience, and machine learning
- Get rich or die trying… finding revenue model fit using machine learning and multiple cases
- How machine-learning recommendations influence clinician treatment selections: the example of the antidepressant selection
- Machine learning based solutions for security of Internet of Things (IoT): A survey
- Introduction to machine learning, neural networks, and deep learning
- Machine learning-based design support system for the prediction of heterogeneous machine parameters in industry 4.0
- Machine learning meets mechanistic modelling for accurate prediction of experimental activation energies
- Determinants of base editing outcomes from target library analysis and machine learning
- A primer for understanding radiology articles about machine learning and deep learning
- A machine‐learning approach for earthquake magnitude estimation
- Applying machine learning in liver disease and transplantation: a comprehensive review
- Machine learning approaches for elucidating the biological effects of natural products
- Systematic review of machine learning for diagnosis and prognosis in dermatology
- Early prediction of circulatory failure in the intensive care unit using machine learning
- Artificial intelligence and machine learning applications in smart production: Progress, trends, and directions
- Machine learning applications for mass spectrometry-based metabolomics
- Improving the accuracy of medical diagnosis with causal machine learning
- A machine learning forecasting model for COVID-19 pandemic in India
- Machine learning in psychometrics and psychological research
- Automatic detection of coronavirus disease (covid-19) in x-ray and ct images: A machine learning-based approach
- Machine learning predicts new anti-CRISPR proteins
- Machine learning approaches to drug response prediction: challenges and recent progress
- Machine learning prediction of mechanical properties of concrete: Critical review
- An energy approach to the solution of partial differential equations in computational mechanics via machine learning: Concepts, implementation and applications
- Crop yield prediction using machine learning: A systematic literature review
- Julia language in machine learning: Algorithms, applications, and open issues
- The impact of machine learning on patient care: A systematic review
- A machine-learning approach to predicting and understanding the properties of amorphous metallic alloys
- Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge
- Applications of machine learning predictive models in the chronic disease diagnosis
- Your evidence? Machine learning algorithms for medical diagnosis and prediction
- Applications of machine learning and artificial intelligence for Covid-19 (SARS-CoV-2) pandemic: A review
- Towards the systematic reporting of the energy and carbon footprints of machine learning
- Machine learning accurate exchange and correlation functionals of the electronic density
- Machine learning in additive manufacturing: A review
- Association between weather data and COVID-19 pandemic predicting mortality rate: Machine learning approaches
- Explaining machine learning classifiers through diverse counterfactual explanations
- A deep feature learning model for pneumonia detection applying a combination of mRMR feature selection and machine learning models
- A review of epileptic seizure detection using machine learning classifiers
- Ai explainability 360: An extensible toolkit for understanding data and machine learning models
- Using machine learning to predict decisions of the European Court of Human Rights
- Intelligent edge computing based on machine learning for smart city
- Machine learning and its applications in plant molecular studies
- Machine learning for fluid mechanics
- A universal machine learning algorithm for large-scale screening of materials
- Coronavirus (covid-19) classification using ct images by machine learning methods
- Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential
- A survey of online data-driven proactive 5g network optimisation using machine learning
- Machine learning algorithms for construction projects delay risk prediction
- Toward interpretable machine learning: Transparent deep neural networks and beyond
- Influence of coronary calcium on diagnostic performance of machine learning CT-FFR: results from MACHINE registry
- PyFitit: The software for quantitative analysis of XANES spectra using machine-learning algorithms
- Machine learning-based classification of vector vortex beams
- Machine‐learning scoring functions for structure‐based drug lead optimization
- Potential neutralizing antibodies discovered for novel corona virus using machine learning
- Machine learning and artificial intelligence in haematology
- Machine learning on graphs: A model and comprehensive taxonomy
- Two distinct neuroanatomical subtypes of schizophrenia revealed using machine learning
- MadMiner: Machine learning-based inference for particle physics
- Machine learning for asset managers
- Prediction of epidemic trends in COVID-19 with logistic model and machine learning technics
- Statistical and machine-learning methods for clearance time prediction of road incidents: A methodology review
- Hierarchical machine learning of potential energy surfaces
- Hybrid decision tree-based machine learning models for short-term water quality prediction
- Machine-learning studies on spin models
- Machine learning and data analytics for the IoT
- Quantum adversarial machine learning
- Engaging proactive control: Influences of diverse language experiences using insights from machine learning.
- Comparisons of heuristic, general statistical and machine learning models for landslide susceptibility prediction and mapping
- Corporate default forecasting with machine learning
- Identification of light sources using machine learning
- Machine-learning-based spatio-temporal super resolution reconstruction of turbulent flows
- Performance evaluation of different machine learning methods and deep-learning based convolutional neural network for health decision making
- On-demand monitoring of construction projects through a game-like hybrid application of BIM and machine learning
- Recent developments in machine learning for energy systems reliability management
- Machine learning and AI in marketing–Connecting computing power to human insights
- Prediction of criticality in patients with severe Covid-19 infection using three clinical features: a machine learning-based prognostic model with clinical data in …
- Machine-learning-accelerated perovskite crystallization
- A review on machine learning in 3D printing: Applications, potential, and challenges
- Integrated machine learning methods with resampling algorithms for flood susceptibility prediction
- Machine learning of serum metabolic patterns encodes early-stage lung adenocarcinoma
- An open source machine learning framework for efficient and transparent systematic reviews
- Machine learning in breast MRI
- Chemist versus Machine: Traditional Knowledge versus Machine Learning Techniques
- Machine learning models for secure data analytics: A taxonomy and threat model
- Machine learning based system for managing energy efficiency of public sector as an approach towards smart cities
- Prediction of droughts over Pakistan using machine learning algorithms
- From real‐world patient data to individualized treatment effects using machine learning: current and future methods to address underlying challenges
- Opportunities and challenges for machine learning in weather and climate modelling: hard, medium and soft AI
- Physics-informed machine learning: case studies for weather and climate modelling
- How do machine learning techniques help in increasing accuracy of landslide susceptibility maps?
- Selecting appropriate machine learning methods for digital soil mapping
- Surveying the reach and maturity of machine learning and artificial intelligence in astronomy
- A clinician’s guide to artificial intelligence: how to critically appraise machine learning studies
- Predicting energy consumption in multiple buildings using machine learning for improving energy efficiency and sustainability
- Machine learning and artificial intelligence
- COVID-19 diagnosis prediction in emergency care patients: a machine learning approach
- The use of machine learning techniques in trauma-related disorders: a systematic review
- A review of machine learning applications in wildfire science and management
- Land-use land-cover classification by machine learning classifiers for satellite observations—A review
- Integration of convolutional neural network and conventional machine learning classifiers for landslide susceptibility mapping
- Machine learning for suicidology: A practical review of exploratory and hypothesis-driven approaches
- Fairness in machine learning
- A machine learning-based model for survival prediction in patients with severe COVID-19 infection
- Bridging learning sciences, machine learning and affective computing for understanding cognition and affect in collaborative learning
- Modelling of shallow landslides with machine learning algorithms
- Predicting Regioselectivity in Radical C− H Functionalization of Heterocycles through Machine Learning
- Understanding from machine learning models
- Nothing to disconnect from? Being singular plural in an age of machine learning
- Supervised classification algorithms in machine learning: A survey and review
- Can machine learning find extraordinary materials?
- Incorporating biological structure into machine learning models in biomedicine
- Bitcoin price prediction using machine learning: An approach to sample dimension engineering
- Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0
- Secure, privacy-preserving and federated machine learning in medical imaging
- Assessing and mapping multi-hazard risk susceptibility using a machine learning technique
- Classifying earthquake damage to buildings using machine learning
- The state of the art in enhancing trust in machine learning models with the use of visualizations
- The digital divide in light of sustainable development: An approach through advanced machine learning techniques
- Machine learning-based prediction of COVID-19 diagnosis based on symptoms
- Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine
- Unsupervised machine learning for exploratory data analysis in imaging mass spectrometry
- Predicting standardized streamflow index for hydrological drought using machine learning models
- Machine learning line bundle cohomology
- Machine learning for resource management in cellular and IoT networks: Potentials, current solutions, and open challenges
- Hybrid meta-heuristic and machine learning algorithms for tunneling-induced settlement prediction: A comparative study
- Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous …
- Interpreting Interpretability: Understanding Data Scientists’ Use of Interpretability Tools for Machine Learning
- Secure and robust machine learning for healthcare: A survey
- A comparative study of several machine learning based non-linear regression methods in estimating solar radiation: Case studies of the USA and Turkey regions
- Dynamic backdoor attacks against machine learning models
- Flood susceptibility modelling using advanced ensemble machine learning models
- Heart Disease Identification Method Using Machine Learning Classification in E-Healthcare
- Data-Driven Security Assessment of Power Grids Based on Machine Learning Approach
- Machine learning in rheumatology approaches the clinic
- A novel randomized machine learning approach: Reservoir computing extreme learning machine
- 5G vehicular network resource management for improving radio access through machine learning
- Technologies toward next generation human machine interfaces: From machine learning enhanced tactile sensing to neuromorphic sensory systems
- Transformer fault diagnosis method using IoT based monitoring system and ensemble machine learning
- Machine learning based early warning system enables accurate mortality risk prediction for COVID-19
- Spatio-temporal estimation of the daily cases of COVID-19 in worldwide using random forest machine learning algorithm
- Data-driven symbol detection via model-based machine learning
- Machine learning models for drug–target interactions: current knowledge and future directions
- Machine‐learning scoring functions for structure‐based virtual screening
- Machine learning and artificial intelligence: Definitions, applications, and future directions
- Role of biological data mining and machine learning techniques in detecting and diagnosing the novel coronavirus (COVID-19): a systematic review
- Closed-loop optimization of fast-charging protocols for batteries with machine learning
- Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy
- Improving risk prediction in heart failure using machine learning
- A perspective on machine learning methods in turbulence modeling
- Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies
- Machine learning in fetal cardiology: What to expect
- Molecular machine learning: the future of synthetic chemistry?
- Application and comparison of several machine learning algorithms and their integration models in regression problems
- A machine learning application for raising wash awareness in the times of covid-19 pandemic
- Modeling and scale-bridging using machine learning: nanoconfinement effects in porous media
- Thirty years of machine learning: The road to Pareto-optimal wireless networks
- A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia
- Predicting and explaining corruption across countries: A machine learning approach
- Synergy Between Expert and Machine‐Learning Approaches Allows for Improved Retrosynthetic Planning
- Machine learning: hands-on for developers and technical professionals
- Conservation machine learning: a case study of random forests
- Machine-learning based study on the on-site renewable electrical performance of an optimal hybrid PCMs integrated renewable system with high-level parameters’ …
- BLAZE: blazing fast privacy-preserving machine learning
- Analyzing trend and forecasting of rainfall changes in India using non-parametrical and machine learning approaches
- Data-driven predictive maintenance planning framework for MEP components based on BIM and IoT using machine learning algorithms
- Machine learning glass transition temperature of polyacrylamides using quantum chemical descriptors
- A review on machine learning algorithms to predict daylighting inside buildings
- Using machine learning in psychiatry: the need to establish a framework that nurtures trustworthiness
- Machine learning threatens 5G security
- FUNDAMENTAL APPLICATIONS OF MACHINE LEARNING ACROSS THE GLOBE
- Machine learning decomposition onset temperature of lubricant additives
- An efficient optimization approach for designing machine learning models based on genetic algorithm
- Deep machine learning approach to develop a new asphalt pavement condition index
- Rapid and accurate identification of COVID-19 infection through machine learning based on clinical available blood test results
- Review of machine learning methods in soft robotics
- Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning
- Utilization of machine-learning models to accurately predict the risk for critical COVID-19
- A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition
- Comparing machine learning algorithms in predicting thermal sensation using ASHRAE Comfort Database II
- Reflections on modern methods: generalized linear models for prognosis and intervention—theory, practice and implications for machine learning
- Predicting antimicrobial resistance in Pseudomonas aeruginosa with machine learning‐enabled molecular diagnostics
- Phase prediction in high entropy alloys with a rational selection of materials descriptors and machine learning models
- Prediction of CO2 solubility in ionic liquids using machine learning methods
- Forecasting air quality in Taiwan by using machine learning
- Machine learning and network analyses reveal disease subtypes of pancreatic cancer and their molecular characteristics
- A trustworthy privacy preserving framework for machine learning in industrial iot systems
- Structural Deformation Controls Charge Losses in MAPbI3: Unsupervised Machine Learning of Nonadiabatic Molecular Dynamics
- Prediction and behavioral analysis of travel mode choice: A comparison of machine learning and logit models
- A path for translation of machine learning products into healthcare delivery
- Data and its (dis) contents: A survey of dataset development and use in machine learning research
- Gas turbine performance prediction via machine learning
- Prospective and external evaluation of a machine learning model to predict in-hospital mortality of adults at time of admission
- Biophysical prediction of protein–peptide interactions and signaling networks using machine learning
- Identification of high impact factors of air quality on a national scale using big data and machine learning techniques
- Effect of data encoding on the expressive power of variational quantum-machine-learning models
- Deep Dive into Machine Learning Models for Protein Engineering
- Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone
- Machine learning glass transition temperature of polymers
- Prediction of daily global solar radiation using different machine learning algorithms: Evaluation and comparison
- Microbiome meta-analysis and cross-disease comparison enabled by the SIAMCAT machine learning toolbox
- Testing machine learning based systems: a systematic mapping
- Flexible piezoelectric acoustic sensors and machine learning for speech processing
- Robust machine learning systems: Challenges, current trends, perspectives, and the road ahead
- Analyzing and predicting students’ performance by means of machine learning: a review
- GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning.
- The role of sensors, big data and machine learning in modern animal farming
- Performance comparison of machine learning techniques in identifying dementia from open access clinical datasets
- Machine learning for combinatorial optimization: a methodological tour d’horizon
- Machine learning: Algorithms, real-world applications and research directions
- Machine-learning approach expands the repertoire of anti-CRISPR protein families
- ChemML: A machine learning and informatics program package for the analysis, mining, and modeling of chemical and materials data
- Machine Learning Gauged Supergravity
- Machine learning to reveal nanoparticle dynamics from liquid-phase tem videos
- Suicidal ideation detection: A review of machine learning methods and applications
- Multitask learning over graphs: An approach for distributed, streaming machine learning
- 6G white paper on machine learning in wireless communication networks
- Machine learning prediction of critical transition and system collapse
- Machine learning Calabi-Yau four-folds
- Machine learning and big data in the impact literature. A bibliometric review with scientific mapping in Web of science
- A Machine Learning‐Based Global Atmospheric Forecast Model
- MP2ML: a mixed-protocol machine learning framework for private inference
- Machine Learning in Quantitative PET Imaging
- Visual analysis of discrimination in machine learning
- Machine learning for the solution of the Schrödinger equation
- Real-world application of machine-learning-based fault detection trained with experimental data
- Machine learning strategies applied to the control of a fluidic pinball
- Machine-learning-optimized aperiodic superlattice minimizes coherent phonon heat conduction
- Combining data assimilation and machine learning to infer unresolved scale parametrization
- Introducing Machine Learning: Science and Technology
- Machine Learning for Structural Materials
- Machine learning-based compressive strength prediction for concrete: An adaptive boosting approach
- Estimating entropy production by machine learning of short-time fluctuating currents
- Intelligent traffic control for autonomous vehicle systems based on machine learning
- Diabetes prediction using ensembling of different machine learning classifiers
- Functional input and membership characteristics in the accuracy of machine learning approach for estimation of multiphase flow
- Decentralized stochastic optimization and machine learning: A unified variance-reduction framework for robust performance and fast convergence
- Machine learning for detecting early infarction in acute stroke with non–contrast-enhanced CT
- Machine learning the thermodynamic arrow of time
- Spatial predicting of flood potential areas using novel hybridizations of fuzzy decision-making, bivariate statistics, and machine learning
- Fundamentals, materials, and machine learning of polymer electrolyte membrane fuel cell technology
- Survey on IoT security: challenges and solution using machine learning, artificial intelligence and blockchain technology
- A segmented machine learning modeling approach of social media for predicting occupancy
- Selection of effective machine learning algorithm and Bot-IoT attacks traffic identification for internet of things in smart city
- Double debiased machine learning nonparametric inference with continuous treatments
- Long-term prediction of chaotic systems with machine learning
- SurvLIME: A method for explaining machine learning survival models
- Teaching optics to a machine learning network
- Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques
- toward enhanced State of charge estimation of Lithium-ion Batteries Using optimized Machine Learning techniques
- When do short-range atomistic machine-learning models fall short?
- Machine learning of noise-resilient quantum circuits
- Machine learning based code dissemination by selection of reliability mobile vehicles in 5G networks
- Predicting product return volume using machine learning methods
- A non-review of Quantum Machine Learning: trends and explorations
- A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
- Multi-objective optimization of concrete mixture proportions using machine learning and metaheuristic algorithms
- Machine Learning-Based PV Reserve Determination Strategy for Frequency Control on the WECC System
- Machine learning-based design strategy for 3D printable bioink: elastic modulus and yield stress determine printability
- The impact of entrepreneurship orientation on project performance: A machine learning approach
- Data science in economics: comprehensive review of advanced machine learning and deep learning methods
- Prediction of survival for severe Covid-19 patients with three clinical features: development of a machine learning-based prognostic model with clinical data in …
- Machine learning for dummies
- Prediction of condition-specific regulatory genes using machine learning
- Machine learning the magnetocaloric effect in manganites from lattice parameters
- giotto-tda: A topological data analysis toolkit for machine learning and data exploration
- Machine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland Australia
- Comparison of machine learning methods with traditional models for use of administrative claims with electronic medical records to predict heart failure outcomes
- Analysis on novel coronavirus (COVID-19) using machine learning methods
- Towards novel insights in lattice field theory with explainable machine learning
- Infrared spectroscopy data-and physics-driven machine learning for characterizing surface microstructure of complex materials
- Machine learning models to quantify and map daily global solar radiation and photovoltaic power
- Machine learning based intrusion detection systems for IoT applications
- Predicting bank insolvencies using machine learning techniques
- Precision psychiatry applications with pharmacogenomics: Artificial intelligence and machine learning approaches
- Automated classification of significant prostate cancer on MRI: A systematic review on the performance of machine learning applications
- Correlation between temperature and COVID-19 (suspected, confirmed and death) cases based on machine learning analysis
- Machine learning in IoT security: Current solutions and future challenges
- The application of machine learning techniques for driving behavior analysis: A conceptual framework and a systematic literature review
- Machine learning and big scientific data
- Machine learning for model error inference and correction
- Participation is not a design fix for machine learning
- Considerations for selecting a machine learning technique for predicting deforestation
- Land cover and land use classification performance of machine learning algorithms in a boreal landscape using Sentinel-2 data
- Advancing Biosensors with Machine Learning
- The need for a system view to regulate artificial intelligence/machine learning-based software as medical device
- Statistical and machine learning models in credit scoring: A systematic literature survey
- A review on cooling performance enhancement for phase change materials integrated systems—flexible design and smart control with machine learning applications
- Linear Algebra and Optimization for Machine Learning
- Multi-model ensemble predictions of precipitation and temperature using machine learning algorithms
- Submodularity in action: From machine learning to signal processing applications
- Introduction of a time series machine learning methodology for the application in a production system
- Machine learning the central magnetic flux density of superconducting solenoids
- Flexible machine learning-based cyberattack detection using spatiotemporal patterns for distribution systems
- Climbing down Charney’s ladder: machine learning and the post-Dennard era of computational climate science
- A machine learning model for emotion recognition from physiological signals
- Toward an intelligent edge: Wireless communication meets machine learning
- Validating the validation: reanalyzing a large-scale comparison of deep learning and machine learning models for bioactivity prediction
- Spatial prediction of PM10 concentration using machine learning algorithms in Ankara, Turkey
- Empirical asset pricing via machine learning
- Comparison of machine learning models for gully erosion susceptibility mapping
- Development of a machine learning based algorithm to accurately detect schizophrenia based on one-minute EEG recordings
- Assessing cardiovascular risks from a mid-thigh CT image: a tree-based machine learning approach using radiodensitometric distributions
- Machine learning and knowledge graph based design rule construction for additive manufacturing
- Machine learning for long-distance quantum communication
- Landslide susceptibility evaluation and management using different machine learning methods in the Gallicash River Watershed, Iran
- Sign-to-speech translation using machine-learning-assisted stretchable sensor arrays
- Machine learning reveals serum sphingolipids as cholesterol-independent biomarkers of coronary artery disease
- Machine learning dihydrogen activation in the chemical space surrounding Vaska’s complex
- On classifying sepsis heterogeneity in the ICU: insight using machine learning
- Phishing web site detection using diverse machine learning algorithms
- Automated self-optimisation of multi-step reaction and separation processes using machine learning
- Evaluation of short-term freeway speed prediction based on periodic analysis using statistical models and machine learning models
- Explainable artificial intelligence and machine learning: A reality rooted perspective
- Machine learning for collective variable discovery and enhanced sampling in biomolecular simulation
- Gully erosion spatial modelling: Role of machine learning algorithms in selection of the best controlling factors and modelling process
- Predicting in-hospital mortality of patients with febrile neutropenia using machine learning models
- Inverse design of topological metaplates for flexural waves with machine learning
- Assessing the drivers of machine learning business value
- Neural additive models: Interpretable machine learning with neural nets
- Conventional and machine learning approaches as countermeasures against hardware trojan attacks
- Using machine learning to estimate unobserved COVID-19 infections in North America
- Comparative analysis of surface water quality prediction performance and identification of key water parameters using different machine learning models based on big …
- Employees recruitment: A prescriptive analytics approach via machine learning and mathematical programming
- Improving cyberbullying detection using Twitter users’ psychological features and machine learning
- Classifying convective storms using machine learning
- Robustness in machine learning explanations: does it matter?
- Machine learning modeling of lattice constants for half-Heusler alloys
- Asthma-prone areas modeling using a machine learning model
- Identification of risk factors associated with obesity and overweight—A machine learning overview
- Fairness in Machine Learning for Healthcare
- A review of machine learning approaches to power system security and stability
- Artificial intelligence and machine learning in design of mechanical materials
- Learning to Make chemical predictions: the Interplay of feature representation, data, and machine learning methods
- Performance and efficiency of machine learning algorithms for analyzing rectangular biomedical data
- High-performance diagnosis of sleep disorders: a novel, accurate and fast machine learning approach using electroencephalographic data
- Quantum machine learning models are kernel methods
- Lift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systems
- Machine learning lattice constants for cubic perovskite A 2 2+ BB′ O 6 compounds
- Adversarial Machine Learning for 5G Communications Security
- Machine learning lattice parameters of monoclinic double perovskites
- A comprehensive survey and analysis of generative models in machine learning
- Experimental velocity data estimation for imperfect particle images using machine learning
- Artificial intelligence and machine learning in computational nanotoxicology: Unlocking and empowering nanomedicine
- Carbon trading volume and price forecasting in China using multiple machine learning models
- Machine learning for structural health monitoring: challenges and opportunities
- Machine learning for predictive scheduling and resource allocation in large scale manufacturing systems
- Integrating complex event processing and machine learning: An intelligent architecture for detecting IoT security attacks
- Intelligent modelling of clay compressibility using hybrid meta-heuristic and machine learning algorithms
- Machine learning on density and elastic property of oxide glasses driven by large dataset
- Scientific intuition inspired by machine learning generated hypotheses
- A novel method for sentiment classification of drug reviews using fusion of deep and machine learning techniques
- Machine learning force fields and coarse-grained variables in molecular dynamics: application to materials and biological systems
- Enhancing gravitational-wave science with machine learning
- Machine learning active-nematic hydrodynamics
- Flocculation-dewatering prediction of fine mineral tailings using a hybrid machine learning approach
- Electronic skins and machine learning for intelligent soft robots
- Artificial intelligence and machine learning in respiratory medicine
- Machine Learning Band Gaps of Doped-TiO2 Photocatalysts from Structural and Morphological Parameters
- Galaxy morphological classification in deep-wide surveys via unsupervised machine learning
- Machine learning for intelligent optical networks: A comprehensive survey
- Designing exceptional gas-separation polymer membranes using machine learning
- From machine learning to deep learning: Advances in scoring functions for protein–ligand docking
- Mathematics for machine learning
- Machine learning methods for microbiome studies
- Insights from machine learning of carbon electrodes for electric double layer capacitors
- Multi-class multi-level classification algorithm for skin lesions classification using machine learning techniques
- Machine learning assisted quantum state estimation
- Machine Learning in Mass Spectrometric Analysis of DIA Data
- Improving pressure drops estimation of fresh cemented paste backfill slurry using a hybrid machine learning method
- A Comprehensive Analysis of Triggers and Risk Factors for Asthma Based on Machine Learning and Large Heterogeneous Data Sources.
- Machine learning recommends affordable new Ti alloy with bone-like modulus
- Estimating daily reference evapotranspiration based on limited meteorological data using deep learning and classical machine learning methods
- Interpreting machine learning of topological quantum phase transitions
- Model predictive control with adaptive machine-learning-based model for building energy efficiency and comfort optimization
- Multi-object detection and tracking (MODT) machine learning model for real-time video surveillance systems
- Classification of mechanism of reinforcement in the fiber-matrix interface: Application of Machine Learning on nanoindentation data
- Predicting mortgage early delinquency with machine learning methods
- An empirical characterization of fair machine learning for clinical risk prediction
- Development of an ensemble of machine learning algorithms to model aerobic granular sludge reactors
- Combining medicinal plant in vitro culture with machine learning technologies for maximizing the production of phenolic compounds
- ABC-RuleMiner: User behavioral rule-based machine learning method for context-aware intelligent services
- Urban flow prediction from spatiotemporal data using machine learning: A survey
- Machine learning solutions to challenges in finance: An application to the pricing of financial products
- Integration of handheld NIR and machine learning to “Measure & Monitor” chicken meat authenticity
- Covid-19 outbreak prediction with machine learning
- A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and …
- Machine learning holography for 3D particle field imaging
- Investigating the gene expression profiles of cells in seven embryonic stages with machine learning algorithms
- Prediction of photovoltaic power output based on similar day analysis, genetic algorithm and extreme learning machine
- Predictive model-based quality inspection using Machine Learning and Edge Cloud Computing
- Hidden stratification causes clinically meaningful failures in machine learning for medical imaging
- An empirical study on the perceived fairness of realistic, imperfect machine learning models
- Intersections of machine learning and epidemiological methods for health services research
- Crystal symmetry determination in electron diffraction using machine learning
- A machine learning based approach for predicting blockchain adoption in supply Chain
- Machine learning study of the mechanical properties of concretes containing waste foundry sand
- Estimation of daily potato crop evapotranspiration using three different machine learning algorithms and four scenarios of available meteorological data
- Hierarchical intrusion detection using machine learning and knowledge model
- ExplainExplore: visual exploration of machine learning explanations
- A machine learning-based prognostic predictor for stage III colon cancer
- The application potential of machine learning and genomics for understanding natural product diversity, chemistry, and therapeutic translatability
- Machine learning to detect self-reporting of symptoms, testing access, and recovery associated with COVID-19 on Twitter: retrospective big data infoveillance …
- Breast cancer detection by leveraging Machine Learning
- Early diagnosis of Parkinson’s disease using machine learning algorithms
- Machine learning for accurate force calculations in molecular dynamics simulations
- Heart disease identification from patients’ social posts, machine learning solution on Spark
- Machine learning models for the prediction of energy, forces, and stresses for platinum
- The value of collaboration in convex machine learning with differential privacy
- Exploiting machine learning to efficiently predict multidimensional optical spectra in complex environments
- Estimation of high frequency nutrient concentrations from water quality surrogates using machine learning methods
- Series dc arc fault detection based on ensemble machine learning
- Evaluating explorative prediction power of machine learning algorithms for materials discovery using k-fold forward cross-validation
- Epidemic model guided machine learning for COVID-19 forecasts in the United States
- Machine learning algorithms for smart data analysis in internet of things environment: taxonomies and research trends
- A note on knowledge discovery and machine learning in digital soil mapping
- Machine learning for neural decoding
- Machine learning, COVID‐19 (2019‐nCoV), and multi‐OMICS
- MLPerf: An industry standard benchmark suite for machine learning performance
- Machine learning approach for pavement performance prediction
- Machine learning: A powerful tool for gene function prediction in plants
- Construction of a machine learning dataset through collaboration: the RSNA 2019 brain CT hemorrhage challenge
- On the relationship of machine learning with causal inference
- A Review on Machine Learning for EEG Signal Processing in Bioengineering
- Machine learning classifiers for Twitter surveillance of vaping: Comparative machine learning study
- A general-purpose machine-learning force field for bulk and nanostructured phosphorus
- NMR signal processing, prediction, and structure verification with machine learning techniques
- Machine learning time series regressions with an application to nowcasting
- Considering patient clinical history impacts performance of machine learning models in predicting course of multiple sclerosis
- Machine learning on DNA-encoded libraries: A new paradigm for hit finding
- Development of an online health care assessment for preventive medicine: A machine learning approach
- Finding People with Emotional Distress in Online Social Media: A Design Combining Machine Learning and Rule-Based Classification.
- A Machine Learning approach on the relationship among solar and wind energy production, coal consumption, GDP, and CO2 emissions
- Active flow control using machine learning: A brief review
- Machine learning optical band gaps of doped-ZnO films
- Using machine learning to model problematic smartphone use severity: The significant role of fear of missing out
- Machine learning adds to clinical and CAC assessments in predicting 10-year CHD and CVD deaths
- Rapid classification of quantum sources enabled by machine learning
- Structure-function coupling in the human connectome: A machine learning approach
- Predicting Perceived Stress Related to the Covid-19 Outbreak through Stable Psychological Traits and Machine Learning Models
- Predicting spatial and temporal variability in crop yields: an inter-comparison of machine learning, regression and process-based models
- Modelling bioaccumulation of heavy metals in soil-crop ecosystems and identifying its controlling factors using machine learning
- A survey of voice pathology surveillance systems based on internet of things and machine learning algorithms
- What predicts student satisfaction with MOOCs: A gradient boosting trees supervised machine learning and sentiment analysis approach
- Machine learning based video coding optimizations: A survey
- FLASH: fast and robust framework for privacy-preserving machine learning
- Lattice dynamics simulation using machine learning interatomic potentials
- Hybrid machine learning EDFA model
- The compatibility of theoretical frameworks with machine learning analyses in psychological research
- Petrofacies classification using machine learning algorithms
- A machine learning analysis of the relationship among iron and steel industries, air pollution, and economic growth in China
- Digital twin-driven supervised machine learning for the development of artificial intelligence applications in manufacturing
- How is machine learning useful for macroeconomic forecasting?
- Machine learning for surgical phase recognition: a systematic review
- Machine learning maximized Anderson localization of phonons in aperiodic superlattices
- Mapping wind erosion hazard with regression-based machine learning algorithms
- Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method
- Fuel properties of hydrochar and pyrochar: Prediction and exploration with machine learning
- Machine learning in the estimation of causal effects: targeted minimum loss-based estimation and double/debiased machine learning
- Elucidating Structure–Property Relationships in Aluminum Alloy Corrosion Inhibitors by Machine Learning
- A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic …
- A comparison of machine learning methods for the prediction of traffic speed in urban places
- An experimental analysis of machine learning classification algorithms on biomedical data
- Maintenance management based on Machine Learning and nonlinear features in wind turbines
- Landslide susceptibility evaluation using hybrid integration of evidential belief function and machine learning techniques
- Machine learning accelerated recovery of the cubic structure in mixed-cation perovskite thin films
- High-Fidelity Potential Energy Surfaces for Gas-Phase and Gas–Surface Scattering Processes from Machine Learning
- Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies of various shapes
- Machine-Learning-Guided Morphology Engineering of Nanoscale Metal-Organic Frameworks
- Classifying travelers’ driving style using basic safety messages generated by connected vehicles: Application of unsupervised machine learning
- Landslide susceptibility mapping using machine learning algorithms and comparison of their performance at Abha Basin, Asir Region, Saudi Arabia
- Designing predictive maintenance systems using decision tree-based machine learning techniques
- First principles and machine learning virtual flow metering: a literature review
- A multi-stage method to predict carbon dioxide emissions using dimensionality reduction, clustering, and machine learning techniques
- Improving energy expenditure estimates from wearable devices: A machine learning approach
- Exploring phononic properties of two-dimensional materials using machine learning interatomic potentials
- A machine learning approach to estimate chlorophyll-a from Landsat-8 measurements in inland lakes
- Joint bagged-boosted artificial neural networks: Using ensemble machine learning to improve short-term electricity load forecasting
- Extending machine learning classification capabilities with histogram reweighting
- CRISPR-based COVID-19 surveillance using a genomically-comprehensive machine learning approach
- Interpretability of machine learning‐based prediction models in healthcare
- New approach to estimate daily reference evapotranspiration based on hourly temperature and relative humidity using machine learning and deep learning
- CellBox: Interpretable Machine Learning for Perturbation Biology with Application to the Design of Cancer Combination Therapy
- Recent advances in artificial intelligence and machine learning for nonlinear relationship analysis and process control in drinking water treatment: A review
- Data analysis of COVID-2019 epidemic using machine learning methods: a case study of India
- Machine learning the magnetocaloric effect in manganites from compositions and structural parameters
- Machine learning aided air traffic flow analysis based on aviation big data
- An accurate and dynamic predictive model for a smart M-Health system using machine learning
- Crop Monitoring Using Satellite/UAV Data Fusion and Machine Learning
- The promise of implementing machine learning in earthquake engineering: A state-of-the-art review
- (What) Can Journalism Studies Learn from Supervised Machine Learning?
- Predictive modeling of biomass gasification with machine learning-based regression methods
- Estimating nitrogen and phosphorus concentrations in streams and rivers, within a machine learning framework
- An Automated Machine Learning architecture for the accelerated prediction of Metal-Organic Frameworks performance in energy and environmental applications
- Machine-learning prediction for quasiparton distribution function matrix elements
- Classical versus quantum models in machine learning: insights from a finance application
- Machine learning predicts large scale declines in native plant phylogenetic diversity
- Tackling faults in the industry 4.0 era—a survey of machine-learning solutions and key aspects
- Feature validity during machine learning paradigms for predicting biodiesel purity
- Analyzing the compressive strength of green fly ash based geopolymer concrete using experiment and machine learning approaches
- Realizing an efficient IoMT-assisted patient diet recommendation system through machine learning model
- Machine learning and glioma imaging biomarkers
- Identifying predictive features of autism spectrum disorders in a clinical sample of adolescents and adults using machine learning
- Machine learning on volatile instances
- Machine learning for analysis of microscopy images: A practical guide
- Machine learning based very short term load forecasting of machine tools
- Machine learning framework for sensing and modeling interference in IoT frequency bands
- Machine learning to identify persons at high-risk of human immunodeficiency virus acquisition in rural Kenya and Uganda
- A novel machine learning approach combined with optimization models for eco-efficiency evaluation
- Tree‐Based Machine Learning to Identify and Understand Major Determinants for Stroke at the Neighborhood Level
- Applying machine learning optimization methods to the production of a quantum gas
- Improving workflow efficiency for mammography using machine learning
- Adversarial machine learning: An interpretation perspective
- Ethical principles in machine learning and artificial intelligence: cases from the field and possible ways forward
- Machine learning techniques for biomedical image segmentation: An overview of technical aspects and introduction to state‐of‐art applications
- Permeability prediction of porous media using a combination of computational fluid dynamics and hybrid machine learning methods
- Estimating wheat yields in Australia using climate records, satellite image time series and machine learning methods
- Machine-learning based hybrid demand-side controller for high-rise office buildings with high energy flexibilities
- Machine learning-based models for the concrete breakout capacity prediction of single anchors in shear
- Supervised machine learning techniques and genetic optimization for occupational diseases risk prediction
- Accurate prediction of COVID-19 using chest x-ray images through deep feature learning model with smote and machine learning classifiers
- Real-time hand gesture recognition using surface electromyography and machine learning: A systematic literature review
- Morphological and molecular breast cancer profiling through explainable machine learning
- Medical Internet of things using machine learning algorithms for lung cancer detection
- When Malware is Packin’Heat; Limits of Machine Learning Classifiers Based on Static Analysis Features
- Machine learning lattice constants for cubic perovskite compounds
- Medical information retrieval systems for e-Health care records using fuzzy based machine learning model
- Dye-sensitized solar cells under ambient light powering machine learning: towards autonomous smart sensors for the internet of things
- Speeding up discovery of auxetic zeolite frameworks by machine learning
- Machine learning analysis on stability of perovskite solar cells
- Making machine learning a useful tool in the accelerated discovery of transition metal complexes
- Generating energy data for machine learning with recurrent generative adversarial networks
- Corrauc: a malicious bot-iot traffic detection method in iot network using machine learning techniques
- The effect of sample size on different machine learning models for groundwater potential mapping in mountain bedrock aquifers
- Machine Learning Models of Vibrating H2CO: Comparing Reproducing Kernels, FCHL, and PhysNet
- Comparative analysis of image classification algorithms based on traditional machine learning and deep learning
- Portfolio optimization with return prediction using deep learning and machine learning
- NPMML: A framework for non-interactive privacy-preserving multi-party machine learning
- Machine-learning nonstationary noise out of gravitational-wave detectors
- Machine learning surrogates for molecular dynamics simulations of soft materials
- Using country-level variables to classify countries according to the number of confirmed COVID-19 cases: An unsupervised machine learning approach
- Three-dimensional vectorial holography based on machine learning inverse design
- Applicability of machine learning in spam and phishing email filtering: review and approaches
- Nonparametric machine learning and efficient computation with bayesian additive regression trees: the BART R package
- MEWS++: enhancing the prediction of clinical deterioration in admitted patients through a machine learning model
- Artificial intelligence, machine learning, and deep learning in women’s health nursing
- Contextpca: Predicting context-aware smartphone apps usage based on machine learning techniques
- A machine learning approach to predict outdoor thermal comfort using local skin temperatures
- Applying machine learning in self-adaptive systems: A systematic literature review
- Performance of a machine learning algorithm in predicting outcomes of aortic valve replacement
- Machine learning for pore-water pressure time-series prediction: application of recurrent neural networks
- AGL: a scalable system for industrial-purpose graph machine learning
- Scaling tree-based automated machine learning to biomedical big data with a feature set selector
- Author Correction: Machine learning model to project the impact of COVID-19 on US motor gasoline demand
- Reaching the end-game for GWAS: machine learning approaches for the prioritization of complex disease loci
- Levels of Analysis for Machine Learning
- Predictably unequal? the effects of machine learning on credit markets
- Machine learning for recognizing minerals from multispectral data
- Real-time forecasting of the COVID-19 outbreak in Chinese provinces: machine learning approach using novel digital data and estimates from mechanistic …
- Static and dynamic malware analysis using machine learning
- Day-ahead photovoltaic power production forecasting methodology based on machine learning and statistical post-processing
- Comparative prediction of confirmed cases with COVID-19 pandemic by machine learning, deterministic and stochastic SIR models
- Microplastic identification via holographic imaging and machine learning
- Congestion prediction for smart sustainable cities using IoT and machine learning approaches
- Machine Learning String Standard Models
- Recent scalability improvements for semidefinite programming with applications in machine learning, control, and robotics
- Machine learning using digitized herbarium specimens to advance phenological research
- Yield prediction with machine learning algorithms and satellite images
- Machine learning–assisted global optimization of photonic devices
- Efficient machine-learning based interatomic potentialsfor exploring thermal conductivity in two-dimensional materials
- Connecting dualities and machine learning
- How we refactor and how we document it? On the use of supervised machine learning algorithms to classify refactoring documentation
- Item response theory based ensemble in machine learning
- Landslide susceptibility prediction based on remote sensing images and GIS: Comparisons of supervised and unsupervised machine learning models
- Teaching yourself about structural racism will improve your machine learning
- Performance and cost assessment of machine learning interatomic potentials
- A machine learning workflow for raw food spectroscopic classification in a future industry
- A machine learning approach predicts future risk to suicidal ideation from social media data
- Intelligent compilation of patent summaries using machine learning and natural language processing techniques
- Quality classification of Jatropha curcas seeds using radiographic images and machine learning
- Ensemble of machine learning algorithms for cryptocurrency investment with different data resampling methods
- Challenges to the reproducibility of machine learning models in health care
- Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
- Resource allocation with edge computing in iot networks via machine learning
- SmartSPR sensor: Machine learning approaches to create intelligent surface plasmon based sensors
- Computational system to classify cyber crime offenses using machine learning
- Machine learning algorithms to infer trait‐matching and predict species interactions in ecological networks
- Artificial intelligence and machine learning for HIV prevention: Emerging approaches to ending the epidemic
- Machine-learning-assisted metasurface design for high-efficiency thermal emitter optimization
- Multiplex assays for the identification of serological signatures of SARS-CoV-2 infection: an antibody-based diagnostic and machine learning study
- Assessing conformer energies using electronic structure and machine learning methods
- A machine learning based intrusion detection system for mobile Internet of Things
- Synthesis of control barrier functions using a supervised machine learning approach
- Machine Learning-Aided Identification of Single Atom Alloy Catalysts
- Obstructive Sleep Apnea: A Prediction Model Using Supervised Machine Learning Method
- Machine learning prediction of mortality and hospitalization in heart failure with preserved ejection fraction
- Stable machine-learning parameterization of subgrid processes for climate modeling at a range of resolutions
- Data poisoning attacks on federated machine learning
- iModulonDB: a knowledgebase of microbial transcriptional regulation derived from machine learning
- Radiomics in stratification of pancreatic cystic lesions: Machine learning in action
- Selective encryption on ECG data in body sensor network based on supervised machine learning
- Machine learning classification of new asteroid families members
- Inter-dataset generalization strength of supervised machine learning methods for intrusion detection
- First-principles machine learning modelling of COVID-19
- Landscape aesthetics: Spatial modelling and mapping using social media images and machine learning
- Comparing various machine learning approaches in modeling the dynamic viscosity of CuO/water nanofluid
- Machine learning for accurate intraoperative pediatric middle ear effusion diagnosis
- Predicting the hydrogen release ability of LiBH4-based mixtures by ensemble machine learning
- Predicting crystallization tendency of polymers using multifidelity information fusion and machine learning
- An Overview on Predicting Protein Subchloroplast Localization by using Machine Learning Methods.
- Machine learning identifies scale-free properties in disordered materials
- ORELM: A novel machine learning approach for prediction of flyrock in mine blasting
- River water salinity prediction using hybrid machine learning models
- [CITATION][C] Fundamentals of machine learning for predictive data analytics: algorithms, worked examples, and case studies
- Predictive modelling and analytics for diabetes using a machine learning approach
- When machine learning meets medical world: Current status and future challenges
- An electrocardiographic system with anthropometrics via machine learning to screen left ventricular hypertrophy among young adults
- Identifying knot types of polymer conformations by machine learning
- The convergence of digital twin, IoT, and machine learning: transforming data into action
- Machine-learning-assisted de novo design of organic molecules and polymers: opportunities and challenges
- Prediction of human-virus protein-protein interactions through a sequence embedding-based machine learning method
- Interactive three-dimensional visualization of network intrusion detection data for machine learning
- Analysis of the COVID-19 pandemic by SIR model and machine learning technics for forecasting
- Machine learning and statistical methods for clustering single-cell RNA-sequencing data
- Determining Philippine coconut maturity level using machine learning algorithms based on acoustic signal
- Machine learning–driven language assessment
- Generating high-resolution daily soil moisture by using spatial downscaling techniques: A comparison of six machine learning algorithms
- Optimizing automatic morphological classification of galaxies with machine learning and deep learning using Dark Energy Survey imaging
- A hybrid posture detection framework: Integrating machine learning and deep neural networks
- MeLIME: Meaningful local explanation for machine learning models
- Electric dipole descriptor for machine learning prediction of catalyst surface–molecular adsorbate interactions
- A machine learning and distributionally robust optimization framework for strategic energy planning under uncertainty
- Glioma stages prediction based on machine learning algorithm combined with protein-protein interaction networks
- Machine learning in materials genome initiative: A review
- Prediction of type 2 diabetes using machine learning classification methods
- DLHub: Simplifying publication, discovery, and use of machine learning models in science
- Predicting breast cancer in Chinese women using machine learning techniques: algorithm development
- Rage Against the Machine: Advancing the study of aggression ethology via machine learning.
- Explore the relationship between fish community and environmental factors by machine learning techniques
- Towards a theory of machine learning
- Stock price prediction using machine learning and LSTM-based deep learning models
- Machine learning for the built heritage archaeological study
- Mass load prediction for lithium-ion battery electrode clean production: a machine learning approach
- Machine learning-based CT radiomics model for predicting hospital stay in patients with pneumonia associated with SARS-CoV-2 infection: A multicenter study
- Applying machine learning methods to better understand, model and estimate mass concentrations of traffic-related pollutants at a typical street canyon
- Daily retail demand forecasting using machine learning with emphasis on calendric special days
- Susceptibility mapping of soil water erosion using machine learning models
- Securing Internet of Things (IoT) with machine learning
- Using machine learning for measuring democracy: An update
- Survey on privacy-preserving machine learning
- Uncovering the eutectics design by machine learning in the Al–Co–Cr–Fe–Ni high entropy system
- Machine learning for prediction with missing dynamics
- Use of machine learning and artificial intelligence to predict SARS-CoV-2 infection from full blood counts in a population
- Can machine learning consistently improve the scoring power of classical scoring functions? Insights into the role of machine learning in scoring functions
- Distributed gradient methods for convex machine learning problems in networks: Distributed optimization
- The Age of Data‐Driven Proteomics: How Machine Learning Enables Novel Workflows
- Application of raw accelerometer data and machine-learning techniques to characterize human movement behavior: a systematic scoping review
- Machine learning versus economic restrictions: Evidence from stock return predictability
- A new machine learning model based on induction of rules for autism detection
- H2o automl: Scalable automatic machine learning
- Artificial intelligence and machine learning based prediction of resistant and susceptible mutations in Mycobacterium tuberculosis
- Accelerated first-order optimization algorithms for machine learning
- Federated machine learning for intelligent IoT via reconfigurable intelligent surface
- A multipurpose machine learning approach to predict COVID-19 negative prognosis in São Paulo, Brazil
- Optimizing high-efficiency quantum memory with quantum machine learning for near-term quantum devices
- Prediction of impacts of mutations on protein structure and interactions: SDM, a statistical approach, and mCSM, using machine learning
- Detection of gravitational-wave signals from binary neutron star mergers using machine learning
- Soil erosion potential hotspot zone identification using machine learning and statistical approaches in eastern India
- Machine learning phase transitions with a quantum processor
- Machine learning for predicting properties of porous media from 2d X-ray images
- A consensus-based global optimization method for high dimensional machine learning problems
- Identification of areas prone to flash-flood phenomena using multiple-criteria decision-making, bivariate statistics, machine learning and their ensembles
- Machine learning F-doped Bi (Pb)–Sr–Ca–Cu–O superconducting transition temperature
- Homomorphic encryption for machine learning in medicine and bioinformatics
- Predicting thermal properties of crystals using machine learning
- Using favorite data to analyze asymmetric competition: Machine learning models
- Machine learning based approaches for detecting COVID-19 using clinical text data
- Improving efficiency of RFID-based traceability system for perishable food by utilizing IoT sensors and machine learning model
- Forecasting client retention—A machine-learning approach
- Ores: Lowering barriers with participatory machine learning in wikipedia
- Application of machine learning techniques to predict binding affinity for drug targets. A study of Cyclin-dependent kinase 2
- Securing connected & autonomous vehicles: Challenges posed by adversarial machine learning and the way forward
- Remote sensing and machine learning for crop water stress determination in various crops: a critical review
- Machine-learning for automatic prediction of flatness deviation considering the wear of the face mill teeth
- A systematic review on supervised and unsupervised machine learning algorithms for data science
- Machine-Learning Assisted Screening of Energetic Materials
- Prediction of methane adsorption in shale: Classical models and machine learning based models
- Identifying and correcting label bias in machine learning
- Essential oils against bacterial isolates from cystic fibrosis patients by means of antimicrobial and unsupervised machine learning approaches
- A machine learning approach on multiscale texture analysis for breast microcalcification diagnosis
- Will machine learning applied to neuroimaging in bipolar disorder help the clinician? A critical review and methodological suggestions
- Automatic Detection and Grading of Multiple Fruits by Machine Learning
- Interpretable vs. noninterpretable machine learning models for data-driven hydro-climatological process modeling
- Machine learning from schools about energy efficiency
- Exploring the forecasting approach for road accidents: Analytical measures with hybrid machine learning
- Energy consumption prediction and diagnosis of public buildings based on support vector machine learning: A case study in China
- Measuring Social Desirability Using a Novel Machine Learning Approach Based on EEG Data.
- Making Graph Neural Networks Worth It for Low-Data Molecular Machine Learning
- Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts
- Validation of a machine learning algorithm to predict 180-day mortality for outpatients with cancer
- Machine Learning-based traffic prediction models for Intelligent Transportation Systems
- Machine learning techniques for monthly river flow forecasting of Hunza River, Pakistan
- Targeted prescription of cognitive–behavioral therapy versus person-centered counseling for depression using a machine learning approach.
- Machine learning classification of ADHD and HC by multimodal serotonergic data
- Classification and prediction of diabetes disease using machine learning paradigm
- Machine learning-based models for real-time traffic flow prediction in vehicular networks
- Conventional machine learning and deep learning approach for multi-classification of breast cancer histopathology images—a comparative insight
- Machine-learning dessins d’enfants: explorations via modular and Seiberg–Witten curves
- Single-and multi-fault diagnosis using machine learning for variable frequency drive-fed induction motors
- Classification and clustering algorithms of machine learning with their applications
- Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning
- Investigating sense of place of the Las Vegas Strip using online reviews and machine learning approaches
- Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach
- Propensity score adjustment using machine learning classification algorithms to control selection bias in online surveys
- Depression screening using mobile phone usage metadata: a machine learning approach
- Predicting likelihood of psychological disorders in PlayerUnknown’s Battlegrounds (PUBG) players from Asian countries using supervised machine learning
- Machine learning and treatment outcome prediction for oral cancer
- Detecting DDoS attacks in software-defined networks through feature selection methods and machine learning models
- Applications of machine learning and deep learning to thyroid imaging: where do we stand?
- Sarcasm detection using machine learning algorithms in Twitter: A systematic review
- A large empirical assessment of the role of data balancing in machine-learning-based code smell detection
- A Hierarchy of Limitations in Machine Learning
- Multiscale groundwater level forecasting: Coupling new machine learning approaches with wavelet transforms
- … assessment of the flash-flood potential within small mountain catchments using bivariate statistics and their novel hybrid integration with machine learning models
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