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Kaushik Roy
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Kaushik Roy 0001
— Purdue University, West Lafayette, IN, USA
- Kaushik Roy 0002 — Concordia University, Institute for Information Systems Engineering, Montreal, QC, CA
- Kaushik Roy 0003
- Kaushik Roy 0004 — West Bengal State University, Barasat, India
- Kaushik Roy 0005 — RV College of Engineering, Bangalore, India
- Kaushik Roy 0006 — University of Windsor, Canada
- Kaushik Roy 0007 — Stanford University, Stanford, CA, USA
- Kaushik Roy 0008
- Kaushik Roy 0009
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2020 – today
- 2024
- [c10]Sanaullah, Kaushik Roy, Ulrich Rückert, Thorsten Jungeblut
Poster: Selection of Optimal Neural Model using Spiking Neural Network for Edge Computing*. ICDCS 2024: 1452-1453 - [i6]Sanaullah, Kaushik Roy, Ulrich Rückert, Thorsten Jungeblut
A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models. CoRR abs/2407.08861 (2024) - [i5]Narendra Singh Dhakad, Yuvnish Malhotra, Santosh Kumar Vishvakarma, Kaushik Roy:
SHA-CNN: Scalable Hierarchical Aware Convolutional Neural Network for Edge AI. CoRR abs/2407.21370 (2024) - [i4]Arkapravo Ghosh, Hemkar Reddy Sadana, Mukut Debnath, Panthadip Maji, Shubham Negi, Sumeet Gupta, Mrigank Sharad, Kaushik Roy:
Approximate ADCs for In-Memory Computing. CoRR abs/2408.06390 (2024) - 2023
- [c9]Maria Camila Gaitan-Cardenas, Mahmoud Abdelsalam, Kaushik Roy:
Explainable AI-Based Intrusion Detection Systems for Cloud and IoT. ICCCN 2023: 1-7 - [c8]Shahrzad Sayyafzadeh, Hongmei Chi, Weifeng Xu, Kaushik Roy:
BERT-Based Sentiment Forensics Analysis for Intrusion Detection. ICMLA 2023: 1560-1567 - [c7]Sesan Akintade, Seongtae Kim
Explaining Machine Learning-Based Feature Selection of IDS for IoT and CPS Devices. AIAI (2) 2023: 69-80 - [c6]Arihant Singh
BLB-GAFS: An Efficient, Multi-Objective Genetic Algorithm Based Feature Selection Method for Intrusion Detection Systems. SSCI 2023: 856-861 - [c5]Kavitha Kunku, ANK Zaman
Ransomware Detection and Classification using Machine Learning. SSCI 2023: 862-866 - [i3]Kavitha Kunku, ANK Zaman, Kaushik Roy:
Ransomware Detection and Classification using Machine Learning. CoRR abs/2311.16143 (2023) - 2021
- [i2]Nathan Dolbir, Triyasha Ghosh Dastidar, Kaushik Roy:
NLP is Not enough - Contextualization of User Input in Chatbots. CoRR abs/2105.06511 (2021) - 2020
- [c4]Sarah Aljbali, Kaushik Roy:
Anomaly Detection Using Bidirectional LSTM. IntelliSys (1) 2020: 612-619 - [i1]Srijita Das, Sriraam Natarajan, Kaushik Roy, Ronald Parr, Kristian Kersting:
Fitted Q-Learning for Relational Domains. CoRR abs/2006.05595 (2020)
2010 – 2019
- 2018
- [c3]Sara A. Althubiti
LSTM for Anomaly-Based Network Intrusion Detection. ITNAC 2018: 1-3
2000 – 2009
- 2000
- [j2]Kaushik Roy, D. T. Lee:
Guest editorial: low-power electronics and design. IEEE Trans. Very Large Scale Integr. Syst. 8(3): 233-234 (2000)
1990 – 1999
- 1999
- [j1]Chuan-Yu Wang, Kaushik Roy:
An activity-driven encoding scheme for power optimization in microprogrammed control unit. IEEE Trans. Very Large Scale Integr. Syst. 7(1): 130-134 (1999) - 1997
- [c2]Kaushik Roy, Rabindra K. Roy, Ramesh Harjani, K. S. Murthy:
T5: Low-Power Design. VLSI Design 1997: 4 - 1996
- [c1]Kaushik Roy, R. K. Roy:
Low Power Design. VLSI Design 1996: 2
Coauthor Index
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