Adaptive Differential Evolution with p-Best Crossover for Continuous Global Optimization. - Sk. Minhazul Islam; Saurav Ghosh; Subhrajit Roy; Swagatam Das (SEMCCO, 2010)

Peak-to-average power ratio reduction in OFDM systems using an adaptive differential evolution algorithm. - Saurav Ghosh; Subhrajit Roy; Swagatam Das; Ajith Abraham; Sk. Minhazul Islam (IEEE Congress on Evolutionary Computation, 2011)

A Modified Discrete Differential Evolution based TDMA scheduling scheme for many to one communications in wireless sensor networks. - Sk. Minhazul Islam; Saurav Ghosh; Swagatam Das; Ajith Abraham; Subhrajit Roy (IEEE Congress on Evolutionary Computation, 2011)

A modified differential evolution for autonomous deployment and localization of sensor nodes. - Subhrajit Roy; Sk. Minhazul Islam; Saurav Ghosh; Swagatam Das; Ajith Abraham; Pavel Krömer (GECCO (Companion), 2011)

A differential covariance matrix adaptation evolutionary algorithm for global optimization. - Saurav Ghosh; Subhrajit Roy; Sk. Minhazul Islam; Swagatam Das; Ponnuthurai Nagaratnam Suganthan (SDE, 2011)

Non-uniform Circular-Shaped Antenna Array Design and Synthesis - A Multi-Objective Approach. - Saurav Ghosh; Subhrajit Roy; Sk. Minhazul Islam; Shi-Zheng Zhao; Ponnuthurai Nagaratnam Suganthan; Swagatam Das (SEMCCO (2), 2011)

Synthesis and Design of Thinned Planar Concentric Circular Antenna Array - A Multi-objective Approach. - Sk. Minhazul Islam; Saurav Ghosh; Subhrajit Roy; Shi-Zheng Zhao; Ponnuthurai Nagaratnam Suganthan; Swagatam Das (SEMCCO (2), 2011)

Design of Two Channel Quadrature Mirror Filter Bank: A Multi-Objective Approach. - Subhrajit Roy; Sk. Minhazul Islam; Saurav Ghosh; Shi-Zheng Zhao; Ponnuthurai Nagaratnam Suganthan; Swagatam Das (SEMCCO (2), 2011)

A Multi-Objective Evolutionary approach for linear antenna array design and synthesis. - Subhrajit Roy; Saúl Zapotecas Martínez; Carlos A. Coello Coello; Soumyadip Sengupta (IEEE Congress on Evolutionary Computation, 2012)

A Differential Covariance Matrix Adaptation Evolutionary Algorithm for real parameter optimization. - Saurav Ghosh; Swagatam Das; Subhrajit Roy; Sk. Minhazul Islam; Ponnuthurai N. Suganthan (Inf. Sci., 2012)

An Adaptive Differential Evolution Algorithm With Novel Mutation and Crossover Strategies for Global Numerical Optimization. - Sk. Minhazul Islam; Swagatam Das; Saurav Ghosh; Subhrajit Roy; Ponnuthurai Nagaratnam Suganthan (IEEE Trans. Syst. Man Cybern. Part B, 2012)

Hardware efficient, neuromorphic dendritically enhanced readout for liquid state machines. - Subhrajit Roy; Arindam Basu; Shaista Hussain (BioCAS, 2013)

A Modified Differential Evolution for Symbol Detection in MIMO-OFDM System. - Aritra Sen; Subhrajit Roy; Swagatam Das (SEMCCO (1), 2013)

Multimodal optimization by artificial weed colonies enhanced with localized group search optimizers. - Subhrajit Roy; Sk. Minhazul Islam; Swagatam Das; Saurav Ghosh (Appl. Soft Comput., 2013)

Architectural exploration for on-chip, online learning in spiking neural networks. - Subhrajit Roy; Sougata Kumar Kar; Arindam Basu (ISIC, 2014)

Liquid State Machine With Dendritically Enhanced Readout for Low-Power, Neuromorphic VLSI Implementations. - Subhrajit Roy; Amitava Banerjee; Arindam Basu (IEEE Trans. Biomed. Circuits Syst., 2014)

A current-mode spiking neural classifier with lumped dendritic nonlinearity. - Amitava Banerjee; Sougata Kar; Subhrajit Roy; Aritra Bhaduri; Arindam Basu (ISCAS, 2015)

A low-voltage, low power STDP synapse implementation using domain-wall magnets for spiking neural networks. - Govind Narasimman; Subhrajit Roy; Xuanyao Fong; Kaushik Roy 001; Chip-Hong Chang; Arindam Basu (ISCAS, 2016)

Online unsupervised structural plasticity algorithm for multi-layer Winner-Take-All with binary synapses. - Subhrajit Roy; He Tong; Arindam Basu (ISIC, 2016)

An Online Structural Plasticity Rule for Generating Better Reservoirs. - Subhrajit Roy; Arindam Basu (Neural Comput., 2016)

Learning Spike Time Codes Through Morphological Learning With Binary Synapses. - Subhrajit Roy; Phyo Phyo San; Shaista Hussain; Wang Wei Lee; Arindam Basu (IEEE Trans. Neural Networks Learn. Syst., 2016)

An Online Unsupervised Structural Plasticity Algorithm for Spiking Neural Networks. - Subhrajit Roy; Arindam Basu (IEEE Trans. Neural Networks Learn. Syst., 2017)

Deep Learning Enabled Automatic Abnormal EEG Identification. - Subhrajit Roy; Isabell Kiral-Kornek; Stefan Harrer (EMBC, 2018)

Spiking Neural Classifier with Lumped Dendritic Nonlinearity and Binary Synapses: A Current Mode VLSI Implementation and Analysis. - Aritra Bhaduri; Amitava Banerjee; Subhrajit Roy; Sougata Kar; Arindam Basu (Neural Comput., 2018)

ChronoNet: A Deep Recurrent Neural Network for Abnormal EEG Identification. - Subhrajit Roy; Isabell Kiral-Kornek; Stefan Harrer (AIME, 2019)

Privacy Preserving Human Fall Detection using Video Data. - Umar Asif; Benjamin S. Mashford; Stefan von Cavallar; Shivanthan A. C. Yohanandan; Subhrajit Roy; Jianbin Tang; Stefan Harrer (ML4H@NeurIPS, 2019)

Machine Learning for Seizure Type Classification: Setting the benchmark. - Subhrajit Roy; Umar Asif; Jianbin Tang; Stefan Harrer (CoRR, 2019)

SeizureNet: A Deep Convolutional Neural Network for Accurate Seizure Type Classification and Seizure Detection. - Umar Asif; Subhrajit Roy; Jianbin Tang; Stefan Harrer (CoRR, 2019)

A semi-supervised deep learning algorithm for abnormal EEG identification. - Subhrajit Roy; Kiran Kate; Martin Hirzel (CoRR, 2019)

Type-Driven Automated Learning with Lale. - Martin Hirzel; Kiran Kate; Avraham Shinnar; Subhrajit Roy; Parikshit Ram (CoRR, 2019)

SeizureNet: Multi-Spectral Deep Feature Learning for Seizure Type Classification. - Umar Asif; Subhrajit Roy; Jianbin Tang; Stefan Harrer (MLCN/RNO-AI@MICCAI, 2020)

Machine Learning for Health (ML4H) 2020: Advancing Healthcare for All. - Suproteem K. Sarkar; Subhrajit Roy; Emily Alsentzer; Matthew B. A. McDermott; Fabian Falck; Ioana Bica; Griffin Adams; Stephen Pfohl; Stephanie L. Hyland (ML4H@NeurIPS, 2020)

ML4H Abstract Track 2020. - Emily Alsentzer; Matthew B. A. McDermott; Fabian Falck; Suproteem K. Sarkar; Subhrajit Roy; Stephanie L. Hyland (CoRR, 2020)

Machine Learning for Health (ML4H) 2021. - Subhrajit Roy; Stephen Pfohl; Girmaw Abebe Tadesse; Luis Oala; Fabian Falck; Yuyin Zhou; Liyue Shen; Ghada Zamzmi; Purity Mugambi; Ayah Zirikly; Matthew B. A. McDermott; Emily Alsentzer (ML4H@NeurIPS, 2021)

A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021. - Fabian Falck; Yuyin Zhou; Emma Rocheteau; Liyue Shen; Luis Oala; Girmaw Abebe; Subhrajit Roy; Stephen Pfohl; Emily Alsentzer; Matthew B. A. McDermott (CoRR, 2021)

Multitask prediction of organ dysfunction in the intensive care unit using sequential subnetwork routing. - Subhrajit Roy; Diana Mincu; Eric Loreaux; Anne Mottram; Ivan Protsyuk; Natalie Harris; Yuan Xue; Jessica Schrouff; Hugh Montgomery; Alistair Connell; Nenad Tomasev; Alan Karthikesalingam; et al. (J. Am. Medical Informatics Assoc., 2021)

Disability prediction in multiple sclerosis using performance outcome measures and demographic data. - Subhrajit Roy; Diana Mincu; Lev Proleev; Negar Rostamzadeh; Chintan Ghate; Natalie Harris; Christina Chen; Jessica Schrouff; Nenad Tomasev; Fletcher Lee Hartsell; Katherine A. Heller (CHIL, 2022)

Healthsheet: Development of a Transparency Artifact for Health Datasets. - Negar Rostamzadeh; Diana Mincu; Subhrajit Roy; Andrew Smart; Lauren Wilcox; Mahima Pushkarna; Jessica Schrouff; Razvan Amironesei; Nyalleng Moorosi; Katherine A. Heller (FAccT, 2022)

Diagnosing failures of fairness transfer across distribution shift in real-world medical settings. - Jessica Schrouff; Natalie Harris; Sanmi Koyejo; Ibrahim M. Alabdulmohsin; Eva Schnider; Krista Opsahl-Ong; Alexander Brown; Subhrajit Roy; Diana Mincu; Christina Chen; Awa Dieng; Yuan Liu; et al. (NeurIPS, 2022)

Maintaining fairness across distribution shift: do we have viable solutions for real-world applications? - Jessica Schrouff; Natalie Harris; Oluwasanmi Koyejo; Ibrahim Alabdulmohsin; Eva Schnider; Krista Opsahl-Ong; Alexander Brown; Subhrajit Roy; Diana Mincu; Christina Chen; Awa Dieng; Yuan Liu; et al. (CoRR, 2022)

Boosting the interpretability of clinical risk scores with intervention predictions. - Eric Loreaux; Ke Yu; Jonas Kemp; Martin Seneviratne; Christina Chen; Subhrajit Roy; Ivan Protsyuk; Natalie Harris; Alexander D'Amour; Steve Yadlowsky; Mingjun Chen (CoRR, 2022)

Developing robust benchmarks for driving forward AI innovation in healthcare. - Diana Mincu; Subhrajit Roy (Nat. Mac. Intell., 2022)

Longitudinal Modeling of Multiple Sclerosis using Continuous Time Models. - Alexander Norcliffe; Lev Proleev; Diana Mincu; Fletcher Lee Hartsell; Katherine A. Heller; Subhrajit Roy (CoRR, 2023)

STUDY: Socially Aware Temporally Casual Decoder Recommender Systems. - Eltayeb Ahmed; Diana Mincu; Lauren Harrell; Katherine A. Heller; Subhrajit Roy (CoRR, 2023)

Benchmarking Continuous Time Models for Predicting Multiple Sclerosis Progression. - Alexander Luke Ian Norcliffe; Lev Proleev; Diana Mincu; Fletcher Lee Hartsell; Katherine A. Heller; Subhrajit Roy (Trans. Mach. Learn. Res., 2023)

Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering. - Han Zhou 010; Xingchen Wan; Lev Proleev; Diana Mincu; Jilin Chen; Katherine A. Heller; Subhrajit Roy (ICLR, 2024)

Safety Alignment Should be Made More Than Just a Few Tokens Deep. - Xiangyu Qi; Ashwinee Panda; Kaifeng Lyu; Xiao Ma 010; Subhrajit Roy; Ahmad Beirami; Prateek Mittal; Peter Henderson 002 (ICLR, 2025)