[1] Video Image Enhancement and Machine Learning Pipeline for Underwater Animal Detection and Classification at Cabled Observatories

[2] Incorporating Noise Robustness in Speech Command Recognition by Noise Augmentation of Training Data

[3] Prediction of irinotecan toxicity in metastatic colorectal cancer patients based on machine learning models with pharmacokinetic parameters

[4] Analysis of Teacher Training in Mathematics in Paraguay’s Elementary Education System Using Machine Learning Techniques

[5] NetiNeti: discovery of scientific names from text using machine learning methods

[6] Using Machine Learning for Personalized Patient Adherence Level Determination.

[7] Dual-Energy CT Texture Analysis With Machine Learning for the Evaluation and Characterization of Cervical Lymphadenopathy.

[8] Practical Considerations for Accuracy Evaluation in Sensor-Based Machine Learning and Deep Learning.

[9] Intelligent Imaging: Anatomy of Machine Learning and Deep Learning.

[10] Comparison between logistic regression and machine learning algorithms on survival prediction of traumatic brain injuries.

[11] Home care aides' observations and machine learning algorithms for the prediction of visits to emergency departments by older community-dwelling individuals receiving home care assistance: A proof of concept study.

[12] Primer on machine learning: utilization of large data set analyses to individualize pain management.

[13] Prediction and Staging of Hepatic Fibrosis in Children with Hepatitis C Virus: A Machine Learning Approach.

[14] Maintenance management based on Machine Learning and nonlinear features in wind turbines

[15] Binary Classification of Fractal Time Series by Machine Learning Methods

[16] Regression Spline-Model in Machine Learning for Signal Prediction and Parameterization

[17] Mining social network data for predictive personality modelling by employing machine learning techniques

[18] Using machine learning to optimize energy consumption of HVAC systems in vehicles

[19] Use of wearable technologies with machine learning to understand university student learning behaviours to predict students at risk of failing

[20] Prediction of turkish super league match results using supervised machine learning techniques

[21] Classifying Songs to Relieve Stress Using Machine Learning Algorithms

[22] A machine learning-based user authentication model using mobile app data

[23] Applications of machine learning in improving learning environment

[24] Football player value assessment using machine learning techniques

[25] The Early Prediction Acute Myocardial Infarction in Real-Time Data Using an Ensemble Machine Learning Model

[26] Data Mining and Machine Learning Approaches and Technologies for Diagnosing Diabetes in Women

[27] Forecasting box office performances using machine learning algorithms

[28] Static Based Classification of Malicious Software Using Machine Learning Methods

[29] Solar radiation prediction based on machine learning for istanbul in Turkey

[30] Ensemble Technique for Machine Learning with Application to Monitoring of Heritage Structures

[31] A Generic Framework for Application of Machine Learning in Acoustic Emission-Based Damage Identification

[32] Crop yield estimation using decision trees and random forest machine learning algorithms on data from Terra (EOS AM-1) & Aqua (EOS PM-1) satellite data

[33] Security approaches in machine learning for satellite communication

[34] EVALUATING THE EFFECT OF BLENDING RATIO ON THE CO-GASIFICATION OF HIGH ASH COAL AND BIOMASS IN A FLUIDIZED BED GASIFIER USING MACHINE LEARNING

[35] CLASSIFICATION OF GALAXIES IN SHAPLEY CONCENTRATION REGION WITH MACHINE LEARNING

[36] Gastroenterology Meets Machine Learning: Status Quo and Quo Vadis

[37] Finding Possible Precursors for the 2015 Cotopaxi Volcano Eruption Using Unsupervised Machine Learning Techniques

[38] EVALUATING THE EFFECT OF BLENDING RATIO ON THE CO-GASIFICATION OF HIGH ASH COAL AND BIOMASS IN A FLUIDIZED BED GASIFIER USING MACHINE LEARNING

[39] CLASSIFICATION OF GALAXIES IN SHAPLEY CONCENTRATION REGION WITH MACHINE LEARNING

[40] Predicting ground-level PM concentrations in the Beijing-Tianjin-Hebei region: A hybrid remote sensing and machine learning approach.

[41] Spatiotemporal continuous estimates of PM concentrations in China, 2000-2016: A machine learning method with inputs from satellites, chemical transport model, and ground observations.

[42] Prediction model development of late-onset preeclampsia using machine learning-based methods.

[43] A hybrid clustering routing protocol based on machine learning and graph theory for energy conservation and hole detection in wireless sensor network

[44] Pixel Count Based Yield Estimation Model, to Reduce Input feature required in Machine Learning System for Major Agricultural Crop

[45] Predicting the acute ecotoxicity of chemical substances by machine learning using graph theory.

[46] Approach to use ontology based on electronic payment system and machine learning to prevent Fraud

[47] Early Diagnose of Autism Spectrum Disorder Using Machine Learning Based on Simple Upper Limb Movements

[48] Detection of Suicide Attempters among Suicide Ideators Using Machine Learning.

[49] Sports Athletes’ Performance Prediction Model Based on Machine Learning Algorithm

[50] Evaluating scale effects of topographic variables in landslide susceptibility models using GIS-based machine learning techniques.

[51] Assessing the performance of GIS- based machine learning models with different accuracy measures for determining susceptibility to gully erosion.

[52] IoT sensor data integration in healthcare using semantics and machine learning approaches

[53] Making machine learning arduino compatible: A gaming handheld that runs neural networks-[Resources-Hands On]

[54] Moving Vehicle Detection Using Haar-like, LBP and a Machine Learning Adaboost Algorithm

[55] Application of machine learning methods to histone methylation ChIP-Seq data reveals H4R3me2 globally represses gene expression.

[56] Application of two machine learning algorithms to genetic association studies in the presence of covariates.

[57] Individual Tree Diameter Growth Models of Larch–Spruce–Fir Mixed Forests Based on Machine Learning Algorithms

[58] Application of two machine learning algorithms to genetic association studies in the presence of covariates

[59] Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes.

[60] Potential Role of Machine Learning in Oncology.

[61] Bulk and surface DFT investigations of inorganic halide perovskites screened using machine learning and materials property databases.

[62] Artificial Intelligence in Medical Education: Best Practices Using Machine Learning to Assess Surgical Expertise in Virtual Reality Simulation.

[63] Automated Socio-psycho-economic Knowledge Behavior Classified in E-Commerce Applying Various Machine Learning Techniques

[64] An Improved Method of Measuring Wavefront Aberration Based on Image with Machine Learning in Free Space Optical Communication.

[65] Combining Benford's Law and machine learning to detect money laundering. An actual Spanish court case.

[66] Artificial intelligence and machine learning in spine research.

[67] FTIR spectroscopy coupled with machine learning approaches as a rapid tool for identification and quantification of artificial sweeteners.

[68] Evaluating the impact of land uses on stream integrity using machine learning algorithms.

[69] Volumetric Data Exploration with Machine Learning-Aided Visualization in Neutron Science

[70] Ensemble-Based Machine Learning Algorithms for Classifying Breast Tissue Based on Electrical Impedance Spectroscopy

[71] Predicting women's height from their socioeconomic status: A machine learning approach.

[72] Epileptic seizure detection on EEG signals using machine learning techniques and advanced preprocessing methods.

[73] Predicting Overall Survival in Patients with Metastatic Rectal Cancer: a Machine Learning Approach.

[74] Radiomics of small renal masses on multiphasic CT: accuracy of machine learning-based classification models for the differentiation of renal cell carcinoma and angiomyolipoma without visible fat.

[75] Morphological study of skin cancer lesions through a 3D scanner based on fringe projection and machine learning.

[76] Application of multiphoton imaging and machine learning to lymphedema tissue analysis.

[77] Deep Machine Learning Techniques for the Detection and Classification of Sperm Whale Bioacoustics.

[78] Image-based Classification of Tumor Type and Growth Rate using Machine Learning: a preclinical study.

[79] Selective encryption on ECG data in body sensor network based on supervised machine learning

[80] Bitcoin price prediction using machine learning: An approach to sample dimension engineering

[81] FTIR spectroscopy coupled with machine learning approaches as a rapid tool for identification and quantification of artificial sweeteners

[82] Predicting the acute ecotoxicity of chemical substances by machine learning using graph theory

[83] Interactive three-dimensional visualization of network intrusion detection data for machine learning

[84] Network Traffic Prediction Based on Machine Learning Model

[85] Literature Survey—Food Recognition and Calorie Measurement Using Image Processing and Machine Learning Techniques

[86] BotHook: A Supervised Machine Learning Approach for Botnet Detection Using DNS Query Data

[87] Multi agent system for machine learning under uncertainty in cyber physical manufacturing system

[88] Intelligent image-based colourimetric tests using machine learning framework for lateral flow assays

[89] Using Machine Learning for Automatic Estimation of M. Smegmatis Cell Count from Fluorescence Microscopy Images

[90] Automatic Exercise Recognition with Machine Learning

[91] A machine learning approach for packet loss prediction in science flows

[92] Honey botanical origin classification using hyperspectral imaging and machine learning

[93] Laser-based classification of olive oils assisted by machine learning

[94] Emoji-Based Sentiment Analysis of Arabic Microblogs Using Machine Learning

[95] Predicting Wireless MmWave Massive MIMO Channel Characteristics Using Machine Learning Algorithms

[96] A machine learning-based prediction and analysis of flood affected households: A case study of floods in Bangladesh

[97] Feasibility of simple machine learning approaches to support detection of non-glaucomatous visual fields in future automated glaucoma clinics

[98] A comparative analysis of machine learning approaches for plant disease identification

[99] Radiological images and machine learning: Trends, perspectives, and prospects.

[100] Do no harm: a roadmap for responsible machine learning for health care.

[101] Using A Low-Cost Sensor Array and Machine Learning Techniques to Detect Complex Pollutant Mixtures and Identify Likely Sources.