activity
20242026
collaborators

5 papers

eess.SP2026

Subspace Learning with Interval-Censored Likelihoods for Dequantizing Percept PC LFP Snapshots

Shreesh Karjagi, Elif Ceren Fitoz, Maryam Khalid +5

Implanted neurostimulators that sense local field potentials now enable chronic electrophysiology based biomarker tracking in patients at home. The Medtronic Percept PC, the only c…

cs.AI2025

Personalized QoE Prediction: A Demographic-Augmented Machine Learning Framework for 5G Video Streaming Networks

Syeda Zunaira Ahmed, Hejab Tahira Beg, Maryam Khalid

Quality of Experience (QoE) prediction is a critical component of modern multimedia systems, particularly for adaptive video streaming in 5G networks. Accurate QoE estimation enabl…

cs.HC2025

Machine Learning-based Context-Aware EMAs: An Offline Feasibility Study

Zachary D King, Maryam Khalid, Han Yu +9

Mobile health (mHealth) systems help researchers monitor and care for patients in real-world settings. Studies utilizing mHealth applications use Ecological Momentary Assessment (E…

cs.LG2025

GRAIL: A Benchmark for GRaph ActIve Learning in Dynamic Sensing Environments

Maryam Khalid, Akane Sano

Graph-based Active Learning (AL) leverages the structure of graphs to efficiently prioritize label queries, reducing labeling costs and user burden in applications like health moni…

cs.LG2024

SleepNet: Attention-Enhanced Robust Sleep Prediction using Dynamic Social Networks

Maryam Khalid, Elizabeth B. Klerman, Andrew W. Mchill +2

Sleep behavior significantly impacts health and acts as an indicator of physical and mental well-being. Monitoring and predicting sleep behavior with ubiquitous sensors may therefo…