6 papers
IMOVNO+: A Regional Partitioning and Meta-Heuristic Ensemble Framework for Imbalanced Multi-Class Learning
Soufiane Bacha, Laouni Djafri, Sahraoui Dhelim +1
Class imbalance, overlap, and noise degrade data quality, reduce model reliability, and limit generalization. Although widely studied in binary classification, these issues remain…
LayoutCoT: Unleashing the Deep Reasoning Potential of Large Language Models for Layout Generation
Hengyu Shi, Junhao Su, Tianyang Han +2
Conditional layout generation aims to automatically generate visually appealing and semantically coherent layouts from user-defined constraints. While recent methods based on gener…
AGI Enabled Solutions For IoX Layers Bottlenecks In Cyber-Physical-Social-Thinking Space
Amar Khelloufi, Huansheng Ning, Sahraoui Dhelim +1
The integration of the Internet of Everything (IoX) and Artificial General Intelligence (AGI) has given rise to a transformative paradigm aimed at addressing critical bottlenecks a…
A Novel Double Pruning method for Imbalanced Data using Information Entropy and Roulette Wheel Selection for Breast Cancer Diagnosis
Soufiane Bacha, Huansheng Ning, Belarbi Mostefa +2
Accurate illness diagnosis is vital for effective treatment and patient safety. Machine learning models are widely used for cancer diagnosis based on historical medical data. Howev…
Evaluation of Machine Translation Based on Semantic Dependencies and Keywords
Kewei Yuan, Qiurong Zhao, Yang Xu +2
In view of the fact that most of the existing machine translation evaluation algorithms only consider the lexical and syntactic information, but ignore the deep semantic informatio…
Adapting Mental Health Prediction Tasks for Cross-lingual Learning via Meta-Training and In-context Learning with Large Language Model
Zita Lifelo, Huansheng Ning, Sahraoui Dhelim
Timely identification is essential for the efficient handling of mental health illnesses such as depression. However, the current research fails to adequately address the predictio…