3 papers
cs.LG2025
Reinforcement Learning Based Sensor Optimization for Bio-markers
Sajal Khandelwal, Pawan Kumar, Syed Azeemuddin
Radio frequency (RF) biosensors, in particular those based on inter-digitated capacitors (IDCs), are pivotal in areas like biomedical diagnosis, remote sensing, and wireless commun…
cs.LG2025
Review of Extreme Multilabel Classification
Arpan Dasgupta, Preeti Lamba, Ankita Kushwaha +4
Extreme multi-label classification or XMLC, is an active area of interest in machine learning. Compared to traditional multi-label classification, here the number of labels is extr…
physics.app-ph2024
Explainable machine learning to enable high-throughput electrical conductivity optimization and discovery of doped conjugated polymers
Ji Wei Yoon, Adithya Kumar, Pawan Kumar +3
The combination of high-throughput experimentation techniques and machine learning (ML) has recently ushered in a new era of accelerated material discovery, enabling the identifica…