A Decision Support Model to Predict ICU Readmission through Data Mining Approach. - Toki Tahmid Inan; Mahmuda Binte Rashid Samia; Iffat Tamanna Tulin; Muhammad Nazrul Islam (PACIS, 2018)

Protein Decoy Generation via Adaptive Stochastic Optimization for Protein Structure Determination. - Ahmed Bin Zaman; Toki Tahmid Inan; Amarda Shehu (BIBM, 2020)

A Survey on the Use of AI and ML for Fighting the COVID-19 Pandemic. - Muhammad Nazrul Islam; Toki Tahmid Inan; Suzzana Rafi; Syeda Sabrina Akter; Iqbal H. Sarker; A. K. M. Najmul Islam (CoRR, 2020)

Investigating usability of mobile health applications in Bangladesh. - Muhammad Nazrul Islam; Md. Mahboob Karim; Toki Tahmid Inan; A. K. M. Najmul Islam (BMC Medical Informatics Decis. Mak., 2020)

A Systematic Review on the Use of AI and ML for Fighting the COVID-19 Pandemic. - Muhammad Nazrul Islam; Toki Tahmid Inan; Suzzana Rafi; Syeda Sabrina Akter; Iqbal H. Sarker; A. K. M. Najmul Islam (IEEE Trans. Artif. Intell., 2020)

Adaptive Conformation Sampling Dataset Zaman_TCBB21. - Ahmed Bin Zaman; Toki Tahmid Inan; Kenneth A. De Jong; Amarda Shehu (IEEE DataPort, 2021)

F-Measure Optimization for Multi-class, Imbalanced Emotion Classification Tasks. - Toki Tahmid Inan; Mingrui Liu; Amarda Shehu (ICANN (1), 2022)

Adaptive Stochastic Optimization to Improve Protein Conformation Sampling. - Ahmed Bin Zaman; Toki Tahmid Inan; Kenneth A. De Jong; Amarda Shehu (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Revisiting Evolutionary Algorithms for Optimization for Deep Learning: Introducing DL-HEA: EAs for Optimization for Deep Learning. - Toki Tahmid Inan; Amarda Shehu (GECCO Companion, 2024)

Beyond Single-Model Views for Deep Learning: Optimization versus Generalizability of Stochastic Optimization Algorithms. - Toki Tahmid Inan; Mingrui Liu; Amarda Shehu (CoRR, 2024)