Accepted Papers
Optimal Warehouse Distribution Center Placement using Evolutionary Algorithms
Reflect, Reason, Rephrase (R³-Detox): An In-Context Learning Approach to Text Detoxification
System Requirements for Decentralised Collaborative Machine Learning in Industry 4.0
Evolutionary Train-Test Split for Hierarchical Monte Carlo Ensemble
Optimizing Video Analytics Inference Pipelines: A Case Study
From High to Low: A Numerical Experiment to Analyse Contour Detection at Resolution Loss in Images of Damaged Glass Plates
Aissa Benfettoume Souda, Mohammed El Amine Bechar, Souaad Hamza-Cherif, Jean-Marie Guyader, Marwa Elbouz, Frédéric Morel
Scaling AI for Embryo Transition Detection: Benchmarking Spatio-Temporal Deep Models
Vectorization Of Narrow Matrix Multiplication for Ascend AI Inference Acceleration
Artificial Intelligence Models (NLP, LLM, JEPA) for Predicting Triage in Emergency Departments: A 7-Month Retrospective Proof-of-Concept
Comparative Analysis of Motif-Based Anomaly Detection for Humidity Monitoring in Digital Twin Systems
Building a Datasets for Character Product Detection from SNS
Unsupervised Representation Learning from Robotic Channel State Information for Human Activity and Gait Recognition
Dual-Space Augmentation and Sampling for Training Language Models on Limited and Imbalanced Surgical Reports
BullyHCL: Unsupervised Heterogeneous Graph Contrastive Learning Framework for Session-based Cyberbullying Detection
An Empirical Study on Estimating Energy Consumption From Software Traces
How to evaluate NoSQL Database Paradigms for Knowledge Graph Processing
Dual-Modality UAV Detection and Classification under Low-Visibility: A Synth-Real RGB–IR Dataset and Benchmark for Aerial Surveillance
Edge-Driven Water Quality Monitoring and Prediction: A Spatio-Temporal GNN-based IoT Approach for Environmental Sensing
Gaia: Hybrid Hardware Acceleration for Serverless AI in the 3D Compute Continuum
Balancing Compression and Prediction: A Hybrid Autoencoder–LSTM Framework for Cloud Workloads