Deep Learning for Geotechnical Engineering: The Effectiveness of Generative Adversarial Networks in Subsoil Schematization

Predicting HPV status in oropharyngeal carcinoma using multiparametric MRI and clinical variables

Advanced constitutive model parameter determination, optimisation and selection using a database of triaxial tests and machine learning tools

Quantum to Transport: Modeling Transport Properties of Aqueous Potassium Hydroxide by Machine Learning Molecular Force Fields from Quantum Mechanics

Impact of replacing TCP by QUIC in Tor on website fingerprinting resistance

Low-Power Gesture Recognition Using Convolutional Neural Networks and Ambient Lighting

Exploring automatic translation between affect representation schemes of music affective content

Visualizing Complexity: Kernel Density Estimation in University Education: Investigating Misconceptions, Challenges, and the Role of Prior Knowledge in Comprehending KDE

Self-calibrated plant counting in early crop stand scenarios using deep clustering: Jonacount: make every plant count

Catching the trigger?: Including automated event data in interstate conflict prediction

Computational models for clinical drug response prediction: aligning transcriptomic data of patients and pre-clinical models

Evaluating Data Distribution Based Concept Drift Detectors

Automated sleep monitoring based on vital signs in critically ill children

Anomaly Detection in WAAM Deposition of Nickel Alloys: Single-Material and Cross-Material Analysis

Bicycle Data-Driven Application Framework: A Dutch Case Study on Machine Learning-Based Bicycle Delay Estimation at Signalized Intersections Using Nationwide Sparse GPS Data

Unveiling microbial biomarkers of ruminant methane emission through machine learning

ELISL: early-late integrated synthetic lethality prediction in cancer

Annotation Practices in Societally Impactful Machine Learning Applications: What are Popular Recommender Systems Models Actually Trained On?

Operationalizing modular autonomous customised buses based on different demand prediction scenarios

Advecting Superspecies: Efficiently Modeling Transport of Organic Aerosol With a Mass-Conserving Dimensionality Reduction Method