Summary of Fairness and Performance in Harmony: Data Debiasing Is All You Need, by Junhua Liu and Wendy Wan Yee Hui and Roy Ka-wei Lee and Kwan Hui Lim
Fairness And Performance In Harmony: Data Debiasing Is All You Needby Junhua Liu, Wendy Wan…
Fairness And Performance In Harmony: Data Debiasing Is All You Needby Junhua Liu, Wendy Wan…
Improvement and Implementation of a Speech Emotion Recognition Model Based on Dual-Layer LSTMby Xiaoran Yang,…
DiVR: incorporating context from diverse VR scenes for human trajectory predictionby Franz Franco Gallo, Hui-Yin…
A Fuzzy Reinforcement LSTM-based Long-term Prediction Model for Fault Conditions in Nuclear Power Plantsby Siwei…
Self-Driving Car Racing: Application of Deep Reinforcement Learningby Florentiana Yuwono, Gan Pang Yen, Jason ChristopherFirst…
Accelerating Flood Warnings by 10 Hours: The Power of River Network Topology in AI-enhanced Flood…
PixelBytes: Catching Unified Representation for Multimodal Generationby Fabien FurfaroFirst submitted to arxiv on: 16 Sep…
Customized Information and Domain-centric Knowledge Graph Construction with Large Language Modelsby Frank Wawrzik, Matthias Plaue,…
Navigation in a simplified Urban Flow through Deep Reinforcement Learningby Federica Tonti, Jean Rabault, Ricardo…