Ishan Sahu

Orcid: 0000-0002-0987-886X

According to our database1, Ishan Sahu authored at least 11 papers between 2017 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
AD<sup>2</sup> : Analysis and Detection of Adversarial Threats in Visual Perception for End-to-End Autonomous Driving Systems.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025
BeatVision: Explainable AI for Clinician-Grade Atrial Fibrillation Detection.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025

2024
Criticality-aware Deconfounded Classification of Long-tailed Multi-label 12-lead Electrocardiogram.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024

Structured Lottery Ticket Hypothesis for Effective Deep Neural Network Model Size Reduction.
Proceedings of the IEEE International Conference on Acoustics, 2024

2022
LTH-ECG: Lottery Ticket Hypothesis-based Deep Learning Model Compression for Atrial Fibrillation Detection from Single Lead ECG On Wearable and Implantable Devices.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Compressing Deep Neural Network: A Black-Box System Identification Approach.
Proceedings of the International Joint Conference on Neural Networks, 2021

Resource Constrained CVD Classification Using Single Lead ECG On Wearable and Implantable Devices.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Instant Adaptive Learning: An Adaptive Filter Based Fast Learning Model Construction for Sensor Signal Time Series Classification on Edge Devices.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Fusing Features based on Signal Properties and TimeNet for Time Series Classification.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2018
AutoModeling: Integrated Approach for Automated Model Generation by Ensemble Selection of Feature Subset and Classifier.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Detecting Factual and Non-Factual Content in News Articles.
Proceedings of the Fourth ACM IKDD Conferences on Data Sciences, 2017


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