Submissions from 2025
Statistical Programming for Adaptive Monitoring in Software Defined Networks using Linear Programming, Fatemeh Amou Aghaei and Ruairí de Fréin
Benchmarking Energy and Performance of Parallel Machine Learning Models Using Hardware and Software Power Meters, Urooj Asgher and Tania Malik
Intention to Commute by Public Transportation and/or by Foot: Findings from a PLS Structural Equation Model, Simona Balzano; Houyem Demni,; Edoardo Pascucci,; Luisa Natale; Giuseppe Cappelli; Sofia Nardoianni; and Giovanni C. Porzio
Improving Node Classification for Graphs withWeak Feature Signals: A Similarity-Entropy Aggregation Approach, Brian Daniel Bernhardt, Chiara Marciano, and Mario Rosario Guarracino
Analyzing Option Chain Bid–Ask Spreads with Machine Learning, Brian Byrne and Qianru Shang
Shape-based nanoparticle classification using machine learning, Caitlin Caitlin Robertson and Hender Lopez
Automated Approaches to Interpreting and Explaining Machine Learning Models, Tilak Chandrashekar, Tarry Singh, and Maged Shaban
Impact of Spatial Diversity and Subject Variability on WiFi-based Human Activity Recognition, Amany Elkelany, Robert J. Ross, and Susan McKeever
Early Lane Change Prediction for Mixed Traffic with V2X Communication, Muhammed Fatih Koc, Nouman Ashraf, Pramod Pathak, and Sachin Sharma
A Statistical Approach to Portfolio Optimization Using Copula-GARCH Models for European Investments, Jegors Fjodorovs
Interpretable AI in Education: A Comparison of Glass-Box Models for Predicting Student Success, Jan Glazenborg
Partitioning Around Medoids on Product Spaces: A Clustering Approach for Cylindrical Data, Yahia Hammami, Houyem Demni, Amor Messaoud, and Giovanni C. Porzio
Pathology’s Place in Understanding the Bias and Inequalities in Women’s Healthcare, Andrea Heaney, Eugene Hickey, and Emma Murphy
Evaluating Machine LearningWorkloads inWebAssembly: A Comparison of Browser-Based Runtimes Using Python, Sallar Khan and Tania Malik
A Transfer Learning Load Adjusted Approach for Video-on-Demand Systems Given Limited Training Data, Kangogo Kimeli and Ruairí de Fréin
Dealing with large data sets: the Data Nugget Subset Selection approach, Vipin Kumar, Simona Balzano, and Giovanni C. Porzio
Application of Positive Matrix Factorization for Source Identification and Bioaccumulation Modelling in Urban Soil–Plant Systems, Volodymyr Laptiev, Michelle Giltrap, Furong Tian, and Nataliia Nataliia Ryzhenko
A Machine Learning Approach to Improve Prediction in Chemical Exposure Risk Assessment, Michele Marro, Cédric Koller, Hasnaa Chettou, and David Vernez
Tracking the kinetics cellular glycolysis and glutaminolysis pathways using vibrational spectroscopy, combined with multivariate statistical and machine learning approaches for data mining, Zohreh Mirveis, Nithin Patil, and Hugh Byrne
Quantum Machine Learning for Battery Health and Thermal Risk Prediction, Alexander Mutiso Mutua and Ruairí de Fréin
Enhancing Dermatological Skin Lesion Classification with Multi-Modal Attention-Based Models and Explainability, Conan OReilly
Shedding light on cellular glycolysis pathway kinetics using a Spectralomics approach, integrating multivariate statistical and machine learning analytical approaches, Nitin Patil, Zohreh Mirveis, and Hugh Byrne
Optimising AI for chemical imaging: benchmarking performance against foundation models for task-specific applications in histopathology, Rahul Suresh, Mohd Rifqi Rafsanjani, Karin Jirstrom, Arman Rahman, William M. Gallagher, and Aidan Meade
AI-Driven Personalized Radiotherapy Planning, Nithin Venkatesh, Marco Pota, and Maged Shaban
Pros & Cons of Reinforcement Learning - illustrated by the Problem of Controlling Gantry Robots, Horst Zisgen