Subhrajit Roy

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 35

Top Topics

Demographic Data

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Xiangyu Qi, Ashwinee Panda, Kaifeng Lyu, Xiao Ma, Subhrajit Roy, Ahmad Beirami, Prateek Mittal, Peter Henderson
Safety Alignment Should Be Made More Than Just a Few Tokens Deep. CoRR (2024)
Han Zhou, Xingchen Wan, Lev Proleev, Diana Mincu, Jilin Chen, Katherine A. Heller, Subhrajit Roy
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering. ICLR (2024)
Alexander Norcliffe, Lev Proleev, Diana Mincu, Fletcher Lee Hartsell, Katherine A. Heller, Subhrajit Roy
Longitudinal Modeling of Multiple Sclerosis using Continuous Time Models. CoRR (2023)
Eltayeb Ahmed, Diana Mincu, Lauren Harrell, Katherine A. Heller, Subhrajit Roy
STUDY: Socially Aware Temporally Casual Decoder Recommender Systems. CoRR (2023)
Han Zhou, Xingchen Wan, Lev Proleev, Diana Mincu, Jilin Chen, Katherine A. Heller, Subhrajit Roy
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering. CoRR (2023)
Alexander Luke Ian Norcliffe, Lev Proleev, Diana Mincu, Fletcher Lee Hartsell, Katherine A. Heller, Subhrajit Roy
Benchmarking Continuous Time Models for Predicting Multiple Sclerosis Progression. Trans. Mach. Learn. Res. 2023 (2023)
Negar Rostamzadeh, Diana Mincu, Subhrajit Roy, Andrew Smart, Lauren Wilcox, Mahima Pushkarna, Jessica Schrouff, Razvan Amironesei, Nyalleng Moorosi, Katherine A. Heller
Healthsheet: Development of a Transparency Artifact for Health Datasets. CoRR (2022)
Subhrajit Roy, Diana Mincu, Lev Proleev, Negar Rostamzadeh, Chintan Ghate, Natalie Harris, Christina Chen, Jessica Schrouff, Nenad Tomasev, Fletcher Lee Hartsell, Katherine A. Heller
Disability prediction in multiple sclerosis using performance outcome measures and demographic data. CHIL (2022)
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, Vivek Natarajan, Alan Karthikesalingam, Katherine A. Heller, Silvia Chiappa, Alexander D'Amour
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings. NeurIPS (2022)
Jessica Schrouff, Natalie Harris, Oluwasanmi Koyejo, Ibrahim Alabdulmohsin, Eva Schnider, Krista Opsahl-Ong, Alex Brown, Subhrajit Roy, Diana Mincu, Christina Chen, Awa Dieng, Yuan Liu, Vivek Natarajan, Alan Karthikesalingam, Katherine A. Heller, Silvia Chiappa, Alexander D'Amour
Maintaining fairness across distribution shift: do we have viable solutions for real-world applications? CoRR (2022)
Eric Loreaux, Ke Yu, Jonas Kemp, Martin Seneviratne, Christina Chen, Subhrajit Roy, Ivan Protsyuk, Natalie Harris, Alexander D'Amour, Steve Yadlowsky, Mingjun Chen
Boosting the interpretability of clinical risk scores with intervention predictions. CoRR (2022)
Diana Mincu, Subhrajit Roy
Developing robust benchmarks for driving forward AI innovation in healthcare. Nat. Mac. Intell. 4 (11) (2022)
Negar Rostamzadeh, Diana Mincu, Subhrajit Roy, Andrew Smart, Lauren Wilcox, Mahima Pushkarna, Jessica Schrouff, Razvan Amironesei, Nyalleng Moorosi, Katherine Heller
Healthsheet: Development of a Transparency Artifact for Health Datasets. FAccT (2022)
Subhrajit Roy, Diana Mincu, Lev Proleev, Negar Rostamzadeh, Chintan Ghate, Natalie Harris, Christina Chen, Jessica Schrouff, Nenad Tomasev, Fletcher Lee Hartsell, Katherine A. Heller
Disability prediction in multiple sclerosis using performance outcome measures and demographic data. CoRR (2022)
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
Machine Learning for Health (ML4H) 2021. ML4H@NeurIPS (2021)
Subhrajit Roy, Diana Mincu, Eric Loreaux, Anne Mottram, Ivan Protsyuk, Natalie Harris, Yuan Xue, Jessica Schrouff, Hugh Montgomery, Alistair Connell, Nenad Tomasev, Alan Karthikesalingam, Martin Seneviratne
Multitask prediction of organ dysfunction in the intensive care unit using sequential subnetwork routing. J. Am. Medical Informatics Assoc. 28 (9) (2021)
Fabian Falck, Yuyin Zhou, Emma Rocheteau, Liyue Shen, Luis Oala, Girmaw Abebe, Subhrajit Roy, Stephen Pfohl, Emily Alsentzer, Matthew B. A. McDermott
A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021. CoRR (2021)
Suproteem K. Sarkar, Subhrajit Roy, Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Ioana Bica, Griffin Adams, Stephen Pfohl, Stephanie L. Hyland
Machine Learning for Health (ML4H) 2020: Advancing Healthcare for All. ML4H@NeurIPS (2020)
Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Suproteem K. Sarkar, Subhrajit Roy, Stephanie L. Hyland
ML4H Abstract Track 2020. CoRR (2020)
Umar Asif, Subhrajit Roy, Jianbin Tang, Stefan Harrer
SeizureNet: Multi-Spectral Deep Feature Learning for Seizure Type Classification. MLCN/RNO-AI@MICCAI (2020)
Martin Hirzel, Kiran Kate, Avraham Shinnar, Subhrajit Roy, Parikshit Ram
Type-Driven Automated Learning with Lale. CoRR (2019)
Subhrajit Roy, Umar Asif, Jianbin Tang, Stefan Harrer
Machine Learning for Seizure Type Classification: Setting the benchmark. CoRR (2019)
Subhrajit Roy, Kiran Kate, Martin Hirzel
A semi-supervised deep learning algorithm for abnormal EEG identification. CoRR (2019)
Subhrajit Roy, Isabell Kiral-Kornek, Stefan Harrer
ChronoNet: A Deep Recurrent Neural Network for Abnormal EEG Identification. AIME (2019)
Umar Asif, Subhrajit Roy, Jianbin Tang, Stefan Harrer
SeizureNet: A Deep Convolutional Neural Network for Accurate Seizure Type Classification and Seizure Detection. CoRR (2019)
Umar Asif, Benjamin S. Mashford, Stefan von Cavallar, Shivanthan A. C. Yohanandan, Subhrajit Roy, Jianbin Tang, Stefan Harrer
Privacy Preserving Human Fall Detection using Video Data. ML4H@NeurIPS (2019)
Subhrajit Roy, Isabell Kiral-Kornek, Stefan Harrer
ChronoNet: A Deep Recurrent Neural Network for Abnormal EEG Identification. CoRR (2018)
Subhrajit Roy, Isabell Kiral-Kornek, Stefan Harrer
Deep Learning Enabled Automatic Abnormal EEG Identification. EMBC (2018)
Aritra Bhaduri, Amitava Banerjee, Subhrajit Roy, Sougata Kar, Arindam Basu
Spiking Neural Classifier with Lumped Dendritic Nonlinearity and Binary Synapses: A Current Mode VLSI Implementation and Analysis. Neural Comput. 30 (3) (2018)
Subhrajit Roy, Arindam Basu
An Online Unsupervised Structural Plasticity Algorithm for Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 28 (4) (2017)
Subhrajit Roy, Arindam Basu
An Online Structural Plasticity Rule for Generating Better Reservoirs. Neural Comput. 28 (11) (2016)
Subhrajit Roy, Phyo Phyo San, Shaista Hussain, Wang Wei Lee, Arindam Basu
Learning Spike Time Codes Through Morphological Learning With Binary Synapses. IEEE Trans. Neural Networks Learn. Syst. 27 (7) (2016)
Subhrajit Roy, Arindam Basu
An Online Structural Plasticity Rule for Generating Better Reservoirs. CoRR (2016)
Subhrajit Roy, He Tong, Arindam Basu
Online unsupervised structural plasticity algorithm for multi-layer Winner-Take-All with binary synapses. ISIC (2016)
Govind Narasimman, Subhrajit Roy, Xuanyao Fong, Kaushik Roy, Chip-Hong Chang, Arindam Basu
A low-voltage, low power STDP synapse implementation using domain-wall magnets for spiking neural networks. ISCAS (2016)
Subhrajit Roy, Phyo Phyo San, Shaista Hussain, Wang Wei Lee, Arindam Basu
Learning Spike time codes through Morphological Learning with Binary Synapses. CoRR (2015)
Subhrajit Roy, Arindam Basu
An Online Unsupervised Structural Plasticity Algorithm for Spiking Neural Networks. CoRR (2015)
Amitava Banerjee, Sougata Kar, Subhrajit Roy, Aritra Bhaduri, Arindam Basu
A current-mode spiking neural classifier with lumped dendritic nonlinearity. ISCAS (2015)
Subhrajit Roy, Sougata Kumar Kar, Arindam Basu
Architectural exploration for on-chip, online learning in spiking neural networks. ISIC (2014)
Subhrajit Roy, Amitava Banerjee, Arindam Basu
Liquid State Machine with Dendritically Enhanced Readout for Low-power, Neuromorphic VLSI Implementations. CoRR (2014)
Subhrajit Roy, Amitava Banerjee, Arindam Basu
Liquid State Machine With Dendritically Enhanced Readout for Low-Power, Neuromorphic VLSI Implementations. IEEE Trans. Biomed. Circuits Syst. 8 (5) (2014)
Subhrajit Roy, Sk. Minhazul Islam, Swagatam Das, Saurav Ghosh
Multimodal optimization by artificial weed colonies enhanced with localized group search optimizers. Appl. Soft Comput. 13 (1) (2013)
Aritra Sen, Subhrajit Roy, Swagatam Das
A Modified Differential Evolution for Symbol Detection in MIMO-OFDM System. SEMCCO (1) (2013)
Subhrajit Roy, Arindam Basu, Shaista Hussain
Hardware efficient, neuromorphic dendritically enhanced readout for liquid state machines. BioCAS (2013)
Subhrajit Roy, Saúl Zapotecas Martínez, Carlos A. Coello Coello, Soumyadip Sengupta
A Multi-Objective Evolutionary approach for linear antenna array design and synthesis. IEEE Congress on Evolutionary Computation (2012)
Sk. Minhazul Islam, Swagatam Das, Saurav Ghosh, Subhrajit Roy, Ponnuthurai Nagaratnam Suganthan
An Adaptive Differential Evolution Algorithm With Novel Mutation and Crossover Strategies for Global Numerical Optimization. IEEE Trans. Syst. Man Cybern. Part B 42 (2) (2012)
Saurav Ghosh, Swagatam Das, Subhrajit Roy, Sk. Minhazul Islam, Ponnuthurai N. Suganthan
A Differential Covariance Matrix Adaptation Evolutionary Algorithm for real parameter optimization. Inf. Sci. 182 (1) (2012)
Sk. Minhazul Islam, Saurav Ghosh, Subhrajit Roy, Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan, Swagatam Das
Synthesis and Design of Thinned Planar Concentric Circular Antenna Array - A Multi-objective Approach. SEMCCO (2) (2011)
Subhrajit Roy, Sk. Minhazul Islam, Saurav Ghosh, Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan, Swagatam Das
Design of Two Channel Quadrature Mirror Filter Bank: A Multi-Objective Approach. SEMCCO (2) (2011)
Sk. Minhazul Islam, Saurav Ghosh, Swagatam Das, Ajith Abraham, Subhrajit Roy
A Modified Discrete Differential Evolution based TDMA scheduling scheme for many to one communications in wireless sensor networks. IEEE Congress on Evolutionary Computation (2011)
Saurav Ghosh, Subhrajit Roy, Sk. Minhazul Islam, Swagatam Das, Ponnuthurai Nagaratnam Suganthan
A differential covariance matrix adaptation evolutionary algorithm for global optimization. SDE (2011)
Saurav Ghosh, Subhrajit Roy, Swagatam Das, Ajith Abraham, Sk. Minhazul Islam
Peak-to-average power ratio reduction in OFDM systems using an adaptive differential evolution algorithm. IEEE Congress on Evolutionary Computation (2011)
Saurav Ghosh, Subhrajit Roy, Sk. Minhazul Islam, Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan, Swagatam Das
Non-uniform Circular-Shaped Antenna Array Design and Synthesis - A Multi-Objective Approach. SEMCCO (2) (2011)
Subhrajit Roy, Sk. Minhazul Islam, Saurav Ghosh, Swagatam Das, Ajith Abraham, Pavel Krömer
A modified differential evolution for autonomous deployment and localization of sensor nodes. GECCO (Companion) (2011)
Sk. Minhazul Islam, Saurav Ghosh, Subhrajit Roy, Swagatam Das
-Best Crossover for Continuous Global Optimization. SEMCCO (2010)