Kaushik Roy

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 81

Top Topics

Intrusion Detection

Machine Learning

Top Venues

AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering

Publications

Vishal Pallagani, Kaushik Roy, Bharath Muppasani, Francesco Fabiano, Andrea Loreggia, Keerthiram Murugesan, Biplav Srivastava, Francesca Rossi, Lior Horesh, Amit P. Sheth
On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS). CoRR (2024)
Aidin Shiri, Kaushik Roy, Amit P. Sheth, Manas Gaur
L3 Ensembles: Lifelong Learning Approach for Ensemble of Foundational Language Models✱. COMAD/CODS (2024)
Amit P. Sheth, Kaushik Roy
Neurosymbolic Value-Inspired Artificial Intelligence (Why, What, and How). IEEE Intell. Syst. 39 (1) (2024)
Sanaullah, Kaushik Roy, Ulrich Rückert, Thorsten Jungeblut
A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models. CoRR (2024)
Narendra Singh Dhakad, Yuvnish Malhotra, Santosh Kumar Vishvakarma, Kaushik Roy
SHA-CNN: Scalable Hierarchical Aware Convolutional Neural Network for Edge AI. CoRR (2024)
Shahrzad Sayyafzadeh, Hongmei Chi, Weifeng Xu, Kaushik Roy
BERT-Based Sentiment Forensics Analysis for Intrusion Detection. ICMLA (2023)
Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu
Tutorials at The Web Conference 2023. WWW (Companion Volume) (2023)
Kaushik Roy, Vedant Khandelwal, Raxit Goswami, Nathan Dolbir, Jinendra Malekar, Amit P. Sheth
Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case. CoRR (2023)
Kaushik Roy, Vedant Khandelwal, Harshul Surana, Valerie Vera, Amit P. Sheth, Heather Heckman
GEAR-Up: Generative AI and External Knowledge-based Retrieval Upgrading Scholarly Article Searches for Systematic Reviews. CoRR (2023)
Yuxin Zi, Kaushik Roy, Vignesh Narayanan, Manas Gaur, Amit P. Sheth
IERL: Interpretable Ensemble Representation Learning - Combining CrowdSourced Knowledge and Distributed Semantic Representations. CoRR (2023)
Revathy Venkataramanan, Kaushik Roy, Kanak Raj, Renjith Prasad, Yuxin Zi, Vignesh Narayanan, Amit P. Sheth
Cook-Gen: Robust Generative Modeling of Cooking Actions from Recipes. SMC (2023)
Olusola Tolulope Odeyomi, Bassey Ude, Kaushik Roy
Online Decentralized Multi-Agents Meta-Learning With Byzantine Resiliency. IEEE Access 11 (2023)
Kavitha Kunku, ANK Zaman, Kaushik Roy
Ransomware Detection and Classification using Machine Learning. CoRR (2023)
Yuxin Zi, Hariram Veeramani, Kaushik Roy, Amit P. Sheth
RDR: the Recap, Deliberate, and Respond Method for Enhanced Language Understanding. CoRR (2023)
Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Amit P. Sheth
Knowledge-Infused Self Attention Transformers. CoRR (2023)
Kavitha Kunku, ANK Zaman, Kaushik Roy
Ransomware Detection and Classification using Machine Learning. SSCI (2023)
Arihant Singh, Kaushik Roy
BLB-GAFS: An Efficient, Multi-Objective Genetic Algorithm Based Feature Selection Method for Intrusion Detection Systems. SSCI (2023)
Kaushik Roy, Tarun Garg, Vedant Palit, Yuxin Zi, Vignesh Narayanan, Amit P. Sheth
Knowledge Graph Guided Semantic Evaluation of Language Models For User Trust. CoRR (2023)
Kaushik Roy, Vedant Khandelwal, Raxit Goswami, Nathan Dolbir, Jinendra Malekar, Amit P. Sheth
Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case. AAAI (2023)
Aidin Shiri, Kaushik Roy, Amit P. Sheth, Manas Gaur
L3 Ensembles: Lifelong Learning Approach for Ensemble of Foundational Language Models. CoRR (2023)
Revathy Venkataramanan, Kaushik Roy, Kanak Raj, Renjith Prasad, Yuxin Zi, Vignesh Narayanan, Amit P. Sheth
Cook-Gen: Robust Generative Modeling of Cooking Actions from Recipes. CoRR (2023)
Sesan Akintade, Seongtae Kim, Kaushik Roy
Explaining Machine Learning-Based Feature Selection of IDS for IoT and CPS Devices. AIAI (2) (2023)
Kaushik Roy, Peyman Moghadam, Mehrtash Harandi
L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space. CoRR (2023)
Arani Roy, Kaushik Roy
HADES: Hardware/Algorithm Co-design in DNN accelerators using Energy-efficient Approximate Alphabet Set Multipliers. CoRR (2023)
Amit P. Sheth, Kaushik Roy, Manas Gaur
Neurosymbolic AI - Why, What, and How. CoRR (2023)
Abhisek Tiwari, Muhammed Sinan, Kaushik Roy, Amit P. Sheth, Sriparna Saha, Pushpak Bhattacharyya
Hi Model, generating 'nice' instead of 'good' is not as bad as generating 'rice'! Towards Context and Semantic Infused Dialogue Generation Loss Function and Evaluation Metric. CoRR (2023)
Kanak Raj, Kaushik Roy, Manas Gaur
K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries. CoRR (2023)
Amit P. Sheth, Kaushik Roy
Neurosymbolic Value-Inspired AI (Why, What, and How). CoRR (2023)
Fikirte Ayalke Demmese, Ajaya Neupane, Sajad Khorsandroo, May Wang, Kaushik Roy, Yu Fu
Machine learning based fileless malware traffic classification using image visualization. Cybersecur. 6 (1) (2023)
Kaushik Roy, Manas Gaur, Misagh Soltani, Vipula Rawte, Ashwin Kalyan, Amit P. Sheth
ProKnow: Process Knowledge for Safety Constrained and Explainable Question Generation for Mental Health Diagnostic Assistance. CoRR (2023)
Kaushik Roy, Yuxin Zi, Manas Gaur, Jinendra Malekar, Qi Zhang, Vignesh Narayanan, Amit P. Sheth
Process Knowledge-infused Learning for Clinician-friendly Explanations. CoRR (2023)
Amit P. Sheth, Kaushik Roy, Manas Gaur
Neurosymbolic Artificial Intelligence (Why, What, and How). IEEE Intell. Syst. 38 (3) (2023)
Zhipeng Liu, Junyi Hu, Yang Liu, Kaushik Roy, Xiaohong Yuan, Jinsheng Xu
Anomaly-Based Intrusion on IoT Networks Using AIGAN-a Generative Adversarial Network. IEEE Access 11 (2023)
Ning Guo, Letu Qingge, Yuanchen Huang, Kaushik Roy, Yanggui Li, Pei Yang
Blind Image Quality Assessment via Multiperspective Consistency. Int. J. Intell. Syst. 2023 (2023)
Kaushik Roy, Christian Simon, Peyman Moghadam, Mehrtash Harandi
Subspace Distillation for Continual Learning. CoRR (2023)
Maria Camila Gaitan-Cardenas, Mahmoud Abdelsalam, Kaushik Roy
Explainable AI-Based Intrusion Detection Systems for Cloud and IoT. ICCCN (2023)
Kaushik Roy, Peyman Moghadam, Mehrtash Harandi
L3DMC: Lifelong Learning Using Distillation via Mixed-Curvature Space. MICCAI (2) (2023)
Kha Gia Quach, Ngan Le, Chi Nhan Duong, Ibsa Jalata, Kaushik Roy, Khoa Luu
Non-volume preserving-based fusion to group-level emotion recognition on crowd videos. Pattern Recognit. 128 (2022)
Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Amit P. Sheth
KSAT: Knowledge-infused Self Attention Transformer - Integrating Multiple Domain-Specific Contexts. CoRR (2022)
Kaushik Roy
In-Memory Computing based Machine Learning Accelerators: Opportunities and Challenges. ACM Great Lakes Symposium on VLSI (2022)
Kaushik Roy, Usha Lokala, Manas Gaur, Amit P. Sheth
Tutorial: Neuro-symbolic AI for Mental Healthcare. AIMLSystems (2022)
Amit P. Sheth, Manas Gaur, Kaushik Roy, Revathy Venkataramanan, Vedant Khandelwal
Process Knowledge-Infused AI: Towards User-level Explainability, Interpretability, and Safety. CoRR (2022)
Daryle Smith, Sajad Khorsandroo, Kaushik Roy
Machine Learning Algorithms and Frameworks in Ransomware Detection. IEEE Access 10 (2022)
Tarun Garg, Kaushik Roy, Amit P. Sheth
Can Language Models Capture Graph Semantics? From Graphs to Language Model and Vice-Versa. CoRR (2022)
Shrey Gupta, Anmol Agarwal, Manas Gaur, Kaushik Roy, Vignesh Narayanan, Ponnurangam Kumaraguru, Amit P. Sheth
Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts. CoRR (2022)
Md. Mazharul Islam, Shamiul Alam, Md. Shafayat Hossain, Kaushik Roy, Ahmedullah Aziz
Cryogenic Neuromorphic Hardware. CoRR (2022)
Amit P. Sheth, Manas Gaur, Kaushik Roy, Revathy Venkataramanan, Vedant Khandelwal
Process Knowledge-Infused AI: Toward User-Level Explainability, Interpretability, and Safety. IEEE Internet Comput. 26 (5) (2022)
Kaushik Roy, Manas Gaur, Misagh Soltani, Vipula Rawte, Ashwin Kalyan, Amit P. Sheth
ProKnow: Process knowledge for safety constrained and explainable question generation for mental health diagnostic assistance. Frontiers Big Data 5 (2022)
Kaushik Roy, Manas Gaur, Qi Zhang, Amit P. Sheth
Process Knowledge-infused Learning for Suicidality Assessment on Social Media. CoRR (2022)
Tony Gwyn, Kaushik Roy
Examining Gender Bias of Convolutional Neural Networks via Facial Recognition. Future Internet 14 (12) (2022)
Mustafa Atay, Hailey Gipson, Tony Gwyn, Kaushik Roy
Evaluation of Gender Bias in Facial Recognition with Traditional Machine Learning Algorithms. SSCI (2021)
Amit P. Sheth, Manas Gaur, Kaushik Roy, Keyur Faldu
Knowledge-intensive Language Understanding for Explainable AI. CoRR (2021)
Lei Deng, Huajin Tang, Kaushik Roy
Editorial: Understanding and Bridging the Gap Between Neuromorphic Computing and Machine Learning. Frontiers Comput. Neurosci. 15 (2021)
Manas Gaur, Kaushik Roy, Aditya Sharma, Biplav Srivastava, Amit P. Sheth
"Who can help me?": Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit. ICHI (2021)
Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth
Knowledge Infused Policy Gradients for Adaptive Pandemic Control. CoRR (2021)
Kaushik Roy, Usha Lokala, Vedant Khandelwal, Amit P. Sheth
"Is depression related to cannabis?": A knowledge-infused model for Entity and Relation Extraction with Limited Supervision. CoRR (2021)
Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth
Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits. ECML/PKDD (1) (2021)
Aditi Anand, Sanchari Sen, Kaushik Roy
Quantifying the Brain Predictivity of Artificial Neural Networks With Nonlinear Response Mapping. Frontiers Comput. Neurosci. 15 (2021)
Kaushik Roy, Usha Lokala, Vedant Khandelwal, Amit P. Sheth
"Is depression related to cannabis?": A knowledge-infused model for Entity and Relation Extraction with Limited Supervision. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (2021)
Jason M. Allred, Kaushik Roy
L4-Norm Weight Adjustments for Converted Spiking Neural Networks. CoRR (2021)
Nathan Dolbir, Triyasha Ghosh Dastidar, Kaushik Roy
NLP is Not enough - Contextualization of User Input in Chatbots. CoRR (2021)
Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth
Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits. CoRR (2021)
Amit P. Sheth, Manas Gaur, Kaushik Roy, Keyur Faldu
Knowledge-Intensive Language Understanding for Explainable AI. IEEE Internet Comput. 25 (5) (2021)
Usha Lokala, Francois R. Lamy, Triyasha Ghosh Dastidar, Kaushik Roy, Raminta Daniulaityte, Srinivasan Parthasarathy, Amit P. Sheth
eDarkTrends: Harnessing Social Media Trends in Substance use disorders for Opioid Listings on Cryptomarket. CoRR (2021)
Karen Schnell, Kaushik Roy
Website Privacy Notification for the Visually Impaired. SSCI (2021)
Manas Gaur, Kaushik Roy, Aditya Sharma, Biplav Srivastava, Amit P. Sheth
"Who can help me?": Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit. CoRR (2021)
Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth
Knowledge Infused Policy Gradients for Adaptive Pandemic Control. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (2021)
Parth Asawa, Manas Gaur, Kaushik Roy, Amit P. Sheth
COVID-19 in Spain and India: Comparing Policy Implications by Analyzing Epidemiological and Social Media Data. CoRR (2020)
Chi Nhan Duong, Thanh-Dat Truong, Kha Gia Quach, Hung Bui, Kaushik Roy, Khoa Luu
Vec2Face: Unveil Human Faces from their Blackbox Features in Face Recognition. CoRR (2020)
Ahmedullah Aziz, Kaushik Roy
Insulator-Metal Transition Material Based Artificial Neurons: A Design Perspective. ISQED (2020)
Bing Han, Kaushik Roy
Deep Spiking Neural Network: Energy Efficiency Through Time Based Coding. ECCV (10) (2020)
Sarah Aljbali, Kaushik Roy
Anomaly Detection Using Bidirectional LSTM. IntelliSys (1) (2020)
Srijita Das, Sriraam Natarajan, Kaushik Roy, Ronald Parr, Kristian Kersting
Fitted Q-Learning for Relational Domains. CoRR (2020)
Chi Nhan Duong, Thanh-Dat Truong, Khoa Luu, Kha Gia Quach, Hung Bui, Kaushik Roy
Vec2Face: Unveil Human Faces From Their Blackbox Features in Face Recognition. CVPR (2020)
Alex James, Georgios Ch. Sirakoulis, Kaushik Roy
Smart cameras everywhere: AI vision on edge with emerging memories. ICECS (2019)
Franck Le, Mudhakar Srivatsa, Krishna Kesari Reddy, Kaushik Roy
Using Graphical Models as Explanations in Deep Neural Networks. MASS (2019)
Víctor H. Champac, Andres F. Gomez, Freddy Forero, Kaushik Roy
Analysis of Bridge Defects in STT-MRAM Cells Under Process Variations and a Robust DFT Technique for Their Detection. VLSI-SoC (Selected Papers) (2018)
Sara A. Althubiti, Eric Marcell Jones, Kaushik Roy
LSTM for Anomaly-Based Network Intrusion Detection. ITNAC (2018)
Andres F. Gomez, Freddy Forero, Kaushik Roy, Víctor H. Champac
Robust Detection of Bridge Defects in STT-MRAM Cells Under Process Variations. VLSI-SoC (2018)
Mesut Atasoyu, Mustafa Altun, Serdar Özoguz, Kaushik Roy
Spin-torque memristor based offset cancellation technique for sense amplifiers. SMACD (2017)
Zubair Azim, Kaushik Roy
Spin-torque sensors with differential signaling for fast and energy efficient global interconnects. ISLPED (2017)
Kaushik Roy
Spin as state variable for computation: prospects and perspectives. ISLPED (2012)
Jae-Joon Kim, Kaushik Roy
A Leakage-Tolerant Low-Swing Circuit Style in Partially Depleted Silicon-on-Insulator CMOS Technologies. IEEE Trans. Very Large Scale Integr. Syst. 14 (5) (2006)
Kaushik Roy, D. T. Lee
Guest editorial: low-power electronics and design. IEEE Trans. Very Large Scale Integr. Syst. 8 (3) (2000)
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) (1999)
Kaushik Roy
Leakage power reduction in low-voltage CMOS designs. ICECS (1998)
Kaushik Roy, Rabindra K. Roy, Ramesh Harjani, K. S. Murthy
T5: Low-Power Design. VLSI Design (1997)
Kaushik Roy, R. K. Roy
Low Power Design. VLSI Design (1996)
Marc E. Levitt, Kaushik Roy, Jacob A. Abraham
BiCMOS fault models: is stuck-at adequate? ICCD (1990)