Subhrajit Roy

Orcid: 0000-0002-6072-5500

According to our database1, Subhrajit Roy authored at least 47 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Safety Alignment Should Be Made More Than Just a Few Tokens Deep.
CoRR, 2024

Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Benchmarking Continuous Time Models for Predicting Multiple Sclerosis Progression.
Trans. Mach. Learn. Res., 2023

STUDY: Socially Aware Temporally Casual Decoder Recommender Systems.
CoRR, 2023

Longitudinal Modeling of Multiple Sclerosis using Continuous Time Models.
CoRR, 2023

2022
Developing robust benchmarks for driving forward AI innovation in healthcare.
Nat. Mac. Intell., November, 2022

Boosting the interpretability of clinical risk scores with intervention predictions.
CoRR, 2022

Maintaining fairness across distribution shift: do we have viable solutions for real-world applications?
CoRR, 2022

Diagnosing failures of fairness transfer across distribution shift in real-world medical settings.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Healthsheet: Development of a Transparency Artifact for Health Datasets.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Disability prediction in multiple sclerosis using performance outcome measures and demographic data.
Proceedings of the Conference on Health, Inference, and Learning, 2022

2021
Multitask prediction of organ dysfunction in the intensive care unit using sequential subnetwork routing.
J. Am. Medical Informatics Assoc., 2021

A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021.
CoRR, 2021

Machine Learning for Health (ML4H) 2021.
Proceedings of the Machine Learning for Health, 2021

2020
ML4H Abstract Track 2020.
CoRR, 2020

Machine Learning for Health (ML4H) 2020: Advancing Healthcare for All.
Proceedings of the Machine Learning for Health Workshop, 2020

SeizureNet: Multi-Spectral Deep Feature Learning for Seizure Type Classification.
Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

2019
Type-Driven Automated Learning with Lale.
CoRR, 2019

A semi-supervised deep learning algorithm for abnormal EEG identification.
CoRR, 2019

SeizureNet: A Deep Convolutional Neural Network for Accurate Seizure Type Classification and Seizure Detection.
CoRR, 2019

Machine Learning for Seizure Type Classification: Setting the benchmark.
CoRR, 2019

Privacy Preserving Human Fall Detection using Video Data.
Proceedings of the Machine Learning for Health Workshop, 2019

ChronoNet: A Deep Recurrent Neural Network for Abnormal EEG Identification.
Proceedings of the Artificial Intelligence in Medicine, 2019

2018
Spiking Neural Classifier with Lumped Dendritic Nonlinearity and Binary Synapses: A Current Mode VLSI Implementation and Analysis.
Neural Comput., 2018

Deep Learning Enabled Automatic Abnormal EEG Identification.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
An Online Unsupervised Structural Plasticity Algorithm for Spiking Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2017

2016
Learning Spike Time Codes Through Morphological Learning With Binary Synapses.
IEEE Trans. Neural Networks Learn. Syst., 2016

An Online Structural Plasticity Rule for Generating Better Reservoirs.
Neural Comput., 2016

Online unsupervised structural plasticity algorithm for multi-layer Winner-Take-All with binary synapses.
Proceedings of the International Symposium on Integrated Circuits, 2016

A low-voltage, low power STDP synapse implementation using domain-wall magnets for spiking neural networks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

2015
A current-mode spiking neural classifier with lumped dendritic nonlinearity.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

2014
Liquid State Machine With Dendritically Enhanced Readout for Low-Power, Neuromorphic VLSI Implementations.
IEEE Trans. Biomed. Circuits Syst., 2014

Architectural exploration for on-chip, online learning in spiking neural networks.
Proceedings of the 2014 International Symposium on Integrated Circuits (ISIC), 2014

2013
Multimodal optimization by artificial weed colonies enhanced with localized group search optimizers.
Appl. Soft Comput., 2013

A Modified Differential Evolution for Symbol Detection in MIMO-OFDM System.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2013

Hardware efficient, neuromorphic dendritically enhanced readout for liquid state machines.
Proceedings of the 2013 IEEE Biomedical Circuits and Systems Conference (BioCAS), Rotterdam, The Netherlands, October 31, 2013

2012
An Adaptive Differential Evolution Algorithm With Novel Mutation and Crossover Strategies for Global Numerical Optimization.
IEEE Trans. Syst. Man Cybern. Part B, 2012

A Differential Covariance Matrix Adaptation Evolutionary Algorithm for real parameter optimization.
Inf. Sci., 2012

A Multi-Objective Evolutionary approach for linear antenna array design and synthesis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Design of Two Channel Quadrature Mirror Filter Bank: A Multi-Objective Approach.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2011

Synthesis and Design of Thinned Planar Concentric Circular Antenna Array - A Multi-objective Approach.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2011

Non-uniform Circular-Shaped Antenna Array Design and Synthesis - A Multi-Objective Approach.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2011

A differential covariance matrix adaptation evolutionary algorithm for global optimization.
Proceedings of the 2011 IEEE Symposium on Differential Evolution, 2011

A modified differential evolution for autonomous deployment and localization of sensor nodes.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

A Modified Discrete Differential Evolution based TDMA scheduling scheme for many to one communications in wireless sensor networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Peak-to-average power ratio reduction in OFDM systems using an adaptive differential evolution algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Adaptive Differential Evolution with <i>p</i>-Best Crossover for Continuous Global Optimization.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2010


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