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A review of the F-measure: its history, properties, criticism, and alternatives

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SPOT-Disorder2: Improved Protein Intrinsic Disorder Prediction by Ensembled Deep Learning

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The Revisiting Problem in Simultaneous Localization and Mapping: A Survey on Visual Loop Closure Detection

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Unsupervised Deep Video Hashing via Balanced Code for Large-Scale Video Retrieval

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Integrating machine learning into item response theory for addressing the cold start problem in adaptive learning systems

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Problematic internet use (PIU): Associations with the impulsive-compulsive spectrum. An application of machine learning in psychiatry

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Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk

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Machine learning identifies interacting genetic variants contributing to breast cancer risk: A case study in Finnish cases and controls

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Interpretable Anomaly Prediction: Predicting anomalous behavior in industry 4.0 settings via regularized logistic regression tools

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Prognostication and risk factors for cystic fibrosis via automated machine learning

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Novelty Detection using Deep Normative Modeling for IMU-Based Abnormal Movement Monitoring in Parkinson’s Disease and Autism Spectrum Disorders

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Lipidomics in Major Depressive Disorder

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Peeking into a black box, the fairness and generalizability of a MIMIC-III benchmarking model.

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Equivariant Graph Neural Networks for Toxicity Prediction

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Multimodal mild depression recognition based on EEG-EM synchronization acquisition network

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Navigating the metric maze: a taxonomy of evaluation metrics for anomaly detection in time series

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NuDetective: A Forensic Tool to Help Combat Child Pornography through Automatic Nudity Detection

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Sensing interpersonal synchrony between actors and autistic children in theatre using wrist-worn accelerometers

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Assessing the performance of methodological search filters to improve the efficiency of evidence information retrieval: five literature reviews and a qualitative study

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Data-driven reverse engineering of signaling pathways using ensembles of dynamic models

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Wireless, AI-enabled wearable thermal comfort sensor for energy-efficient, human-in-the-loop control of indoor temperature

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Domain Shifts in Machine Learning Based Covid-19 Diagnosis From Blood Tests

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EDLA-EFDS: A Novel Ensemble Deep Learning Approach For Electrical Fault Detection Systems

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Prediction of Genetic Interactions Using Machine Learning and Network Properties

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Temporal convolutional networks and data rebalancing for clinical length of stay and mortality prediction

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Predictors of new onsets of irritable bowel syndrome, chronic fatigue syndrome and fibromyalgia: the lifelines study

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MEDICASCY: A Machine Learning Approach for Predicting Small-Molecule Drug Side Effects, Indications, Efficacy, and Modes of Action

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FRAGSITE: A Fragment-Based Approach for Virtual Ligand Screening

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Deep learning prediction of chemical-induced dose-dependent and context-specific multiplex phenotype responses and its application to personalized alzheimer’s disease drug repurposing

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Predicting inpatient medication orders from electronic health record data

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A machine learning framework for interpretable predictions in patient pathways: the case of predicting ICU admission for patients with symptoms of sepsis

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Decay radius of climate decision for solar panels in the city of Fresno, USA

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Learning Relational Representations with Auto-encoding Logic Programs

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Exploring the potential and limitations of deep learning and explainable AI for longitudinal life course analysis

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Personalised analytics for rare disease diagnostics

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Tremor Detection Using Parametric and Non-Parametric Spectral Estimation Methods: A Comparison with Clinical Assessment

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Predicting self-intercepted medication ordering errors using machine learning

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Dynamic Bayesian networks in molecular plant science: inferring gene regulatory networks from multiple gene expression time series

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Mixed-methods evaluation of three natural language processing modeling approaches for measuring documented goals-of-care discussions in the electronic health record

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Enhancing skin lesion classification: a CNN approach with human baseline comparison

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Pairing Machine Learning and Clinical Psychology: How You Evaluate Predictive Performance Matters

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Development and internal validation of an AI-based emergency triage model for predicting critical outcomes in emergency department

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Trustworthy Data Analysis and Sensor Data Protection in Cyber-Physical Systems

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New Methods for Confusion Detection in Course Forums: Student, Teacher, and Machine

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Activity detection in uncontrolled free-living conditions using a single accelerometer

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Pseudo2GO: A Graph-Based Deep Learning Method for Pseudogene Function Prediction by Borrowing Information From Coding Genes

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Fast Stochastic Recursive Momentum Methods for Imbalanced Data Mining

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An Efficient Approximation to Lookahead in Relational Learners

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A general method to predict the effect of single amino acid substitutions on enzyme catalytic activity

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