IEEE

Ant-Based Feature and Instance Selection for Multiclass Imbalanced Data

Abstract: This paper introduces a novel algorithm called Ant-based Feature and Instance Selection. This new algorithm addresses the simultaneous selection of instances and features for mixed, ...
GitHub

xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology

Accepted as a poster presentation at NeurIPS 2024. Proceedings: https://proceedings.neurips.cc/paper_files/paper/2024/hash/0f9e0309d8a947ca44463a9b7e8b6a3f-Abstract ...
eLife

From Syllables to Words: EEG Evidence of Different Age Trajectories in Speech Tracking and Statistical Learning in Infants at High and Low Likelihood for Autism

Delayed onset of canonical babbling and first words is often reported in infants later diagnosed with autism spectrum disorder (ASD). Identifying the neural mechanisms underlying language acquisition ...
IEEE

Evaluating the Impact of Replay-Based Continual Learning on Long-Term sEMG Pattern Recognition in Instance-Incremental Learning

Abstract: The field of surface electromyogram (sEMG)-based human-computer interfaces is rapidly evolving through the integration of wearable sensors and deep learning models. To ensure practical ...
GitHub

MamMIL: Multiple Instance Learning for Whole Slide Images with State Space Models

After downloading the WSIs, please use the CLAM repository to pre-process the WSIs and extract the features. The features should be put into the ./data directory. Then, use the h5toPyG.ipynb notebook ...