Online classification with contextual exponential weights for disease diagnostics. - Kubilay Eksioglu; Muhammad Anjum Qureshi; Cem Tekin (SIU, 2017)

Expert advice ensemble for thyroid disease diagnosis. - Muhammad Anjum Qureshi; Kubilay Eksioglu (SIU, 2017)

Online optimization of wireless sensors selection over an unknown stochastic environment. - Muhammad Anjum Qureshi; Wardah Sarmad; Hira Noor; Ali Hassan Mirza (SIU, 2018)

Online cross-layer learning in heterogeneous cognitive radio networks without CSI. - Muhammad Anjum Qureshi; Cem Tekin (SIU, 2018)

Online Bayesian Learning for Rate Selection in Millimeter Wave Cognitive Radio Networks. - Muhammad Anjum Qureshi; Cem Tekin (INFOCOM, 2020)

Dynamic Rate Allocation in Cognitive Radio Networks using Global Bandits. - Muhammad Anjum Qureshi (SIU, 2020)

Rate and Channel Adaptation in Cognitive Radio Networks Under Time-Varying Constraints. - Muhammad Anjum Qureshi; Cem Tekin (IEEE Commun. Lett., 2020)

Fast Learning for Dynamic Resource Allocation in AI-Enabled Radio Networks. - Muhammad Anjum Qureshi; Cem Tekin (IEEE Trans. Cogn. Commun. Netw., 2020)

Prediction, Classification and Recommendation in e-Health via Contextual Partitioning. - Muhammad Anjum Qureshi (SIU, 2021)

Decentralized Dynamic Rate and Channel Selection Over a Shared Spectrum. - Alireza Javanmardi; Muhammad Anjum Qureshi; Cem Tekin (IEEE Trans. Commun., 2021)

Multi-User Small Base Station Association via Contextual Combinatorial Volatile Bandits. - Muhammad Anjum Qureshi; Andi Nika; Cem Tekin (IEEE Trans. Commun., 2021)

Reinforcement Learning for Link Adaptation and Channel Selection in LEO Satellite Cognitive Communications. - Muhammad Anjum Qureshi; Eva Lagunas; Georges Kaddoum (IEEE Commun. Lett., 2023)