activity
20202024
most citedDeep learning framework for subject-independent emotion detection using wireless signals

66 citations · 138 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2024★ 1 cited

Convolutional vs Large Language Models for Software Log Classification in Edge-Deployable Cellular Network Testing

Achintha Ihalage, Sayed M. Taheri, Faris Muhammad +1

Software logs generated by sophisticated network emulators in the telecommunications industry, such as VIAVI TM500, are extremely complex, often comprising tens of thousands of tex…

cs.LG2022★ 28 cited

Formula graph self-attention network for representation-domain independent materials discovery

Achintha Ihalage, Yang Hao

The success of machine learning (ML) in materials property prediction depends heavily on how the materials are represented for learning. Two dominant families of material descripto…

cond-mat.mtrl-sci2021★ 29 cited

Analogical discovery of disordered perovskite oxides by crystal structure information hidden in unsupervised material fingerprints

Achintha Ihalage, Yang Hao

Compositional disorder induces myriad captivating phenomena in perovskites. Target-driven discovery of perovskite solid solutions has been a great challenge due to the analytical c…

eess.SP2020★ 66 cited

Deep learning framework for subject-independent emotion detection using wireless signals

Ahsan Noor Khan, Achintha Avin Ihalage, Yihan Ma +3

Emotion states recognition using wireless signals is an emerging area of research that has an impact on neuroscientific studies of human behaviour and well-being monitoring. Curren…

cond-mat.mtrl-sci2020★ 14 cited

Interactive Human-Machine Learning Framework for Modelling of Ferroelectric-Dielectric Composites

Ning Liu, Achintha Ihalage, Hangfeng Zhang +3

Data driven materials discovery and optimization requires databases that are error free and experimentally verified. Performing material measurements are time-consuming and often r…