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Journal Articles
- 2024
[j21]Ritu Kapur
, Yashwant Kumar, Ritik Sharma, Shivani Sharma, Eishkaran Singh, Dhruv Rohilla, Vikrant Kanwar, Bhupender Kumar, Arnav Bhavsar, Varun Dutt:
GlucoBreath: An IoT, ML, and Breath-Based Non-Invasive Glucose Meter. IEEE Access 12: 59346-59360 (2024)- 2023
- [j20]Praveen Kumar, P. Priyanka, J. Dhanya, Kala Venkata Uday, Varun Dutt:
Analyzing the Performance of Univariate and Multivariate Machine Learning Models in Soil Movement Prediction: A Comparative Study. IEEE Access 11: 62368-62381 (2023) - [j19]Shashank Uttrani, Palvi Aggarwal, Varun Dutt:
Does subnetting and port hardening influence human adversarial decisions? An investigation via a HackIT tool. Frontiers Big Data 6 (2023) - 2022
- [j18]Palvi Aggarwal, Frédéric Moisan, Cleotilde Gonzalez, Varun Dutt:
Learning About the Effects of Alert Uncertainty in Attack and Defend Decisions via Cognitive Modeling. Hum. Factors 64(2): 343-358 (2022) - [j17]Shashank Uttrani, Neha Sharma, Varun Dutt:
Life and Death Decisions and COVID-19: Investigating and Modeling the Effect of Framing, Experience, and Context on Preference Reversals in the Asian Disease Problem. Top. Cogn. Sci. 14(4): 800-824 (2022) - 2021
- [j16]Anmol Gupta, Partha Pratim Roy, Varun Dutt:
Evaluation of Instance-Based Learning and Q-Learning Algorithms in Dynamic Environments. IEEE Access 9: 138775-138790 (2021) - 2020
- [j15]Shruti Kaushik, Abhinav Choudhury, Sayee Natarajan, Larry A. Pickett, Varun Dutt:
Medicine Expenditure Prediction via a Variance- Based Generative Adversarial Network. IEEE Access 8: 110947-110958 (2020) - [j14]Shruti Kaushik, Abhinav Choudhury, Pankaj Kumar Sheron, Nataraj Dasgupta, Sayee Natarajan, Larry A. Pickett, Varun Dutt:
AI in Healthcare: Time-Series Forecasting Using Statistical, Neural, and Ensemble Architectures. Frontiers Big Data 3: 4 (2020) - [j13]Medha Kumar, Varun Dutt:
Understanding Decisions in Collective Risk Social Dilemma Games Using Reinforcement Learning. IEEE Trans. Cogn. Dev. Syst. 12(4): 824-840 (2020) - 2019
- [j12]Zahid Maqbool, V. S. Chandrasekhar Pammi, Varun Dutt:
Behavioral Cybersecurity: Investigating the influence of Patching Vulnerabilities in Markov Security Games via Cognitive Modeling. Int. J. Cyber Situational Aware. 4(1): 185-209 (2019) - 2018
- [j11]Palvi Aggarwal, Frédéric Moisan, Cleotilde Gonzalez, Varun Dutt:
Understanding Cyber Situational Awareness in a Cyber Security Game involving. Int. J. Cyber Situational Aware. 3(1): 11-38 (2018) - [j10]Abhinav Choudhury, Shruti Kaushik, Varun Dutt:
Social-network analysis in healthcare: analysing the effect of weighted influence in physician networks. Netw. Model. Anal. Health Informatics Bioinform. 7(1): 17 (2018) - 2017
- [j9]Zahid Maqbool, Nidhi Makhijani, V. S. Chandrasekhar Pammi, Varun Dutt:
Effects of Motivation: Rewarding Hackers for Undetected Attacks Cause Analysts to Perform Poorly. Hum. Factors 59(3): 420-431 (2017) - 2016
- [j8]Pradipta Biswas, Varun Dutt, Pat Langdon:
Comparing Ocular Parameters for Cognitive Load Measurement in Eye-Gaze-Controlled Interfaces for Automotive and Desktop Computing Environments. Int. J. Hum. Comput. Interact. 32(1): 23-38 (2016) - 2015
- [j7]Cleotilde Gonzalez, Noam Ben-Asher, Jolie M. Martin, Varun Dutt:
A Cognitive Model of Dynamic Cooperation With Varied Interdependency Information. Cogn. Sci. 39(3): 457-495 (2015) - 2013
- [j6]Varun Dutt, Young-Suk Ahn, Cleotilde Gonzalez:
Cyber Situation Awareness: Modeling Detection of Cyber Attacks With Instance-Based Learning Theory. Hum. Factors 55(3): 605-618 (2013) - [j5]Varun Dutt, Amanjot Kaur:
Cyber security: testing the effects of attack strategy, similarity, and experience on cyber attack detection. Int. J. Trust. Manag. Comput. Commun. 1(3/4): 261-273 (2013) - [j4]Cleotilde Gonzalez, Varun Dutt, Christian Lebiere:
Validating instance-based learning mechanisms outside of ACT-R. J. Comput. Sci. 4(4): 262-268 (2013) - 2012
- [j3]Varun Dutt, Cleotilde Gonzalez:
Making Instance-based Learning Theory usable and understandable: The Instance-based Learning Tool. Comput. Hum. Behav. 28(4): 1227-1240 (2012) - 2011
- [j2]Cleotilde Gonzalez, Varun Dutt:
A generic dynamic control task for behavioral research and education. Comput. Hum. Behav. 27(5): 1904-1914 (2011) - [j1]Cleotilde Gonzalez, Varun Dutt, Tomás Lejarraga:
A Loser Can Be a Winner: Comparison of Two Instance-based Learning Models in a Market Entry Competition. Games 2(1): 136-162 (2011)
Conference and Workshop Papers
- 2024
- [c53]Varun Dutt, Lucas Galan, Faiyaz Doctor, Lina Barakat, Kate Isaacs, Demetris Hadjigeorgiou, Aldo Fumagalli:
An AI Driven Pipeline for 6G Enabled Digital Creatives Identification, Performance Monitoring and Attribution. CCGridW 2024: 201-207 - [c52]Arti Devi, Shashank Uttrani, Aryansh Singla, Sarthak Jha, Nataraj Dasgupta, Sayee Natarajan, Rajeshwari S. Punekar, Larry A. Pickett, Varun Dutt:
Quantitative Analysis of GPT-4 model: Optimizing Patient Eligibility Classification for Clinical Trials and Reducing Expert Judgment Dependency. ICMHI 2024: 230-237 - [c51]Sakshi Chauhan, Gitanshu Choudhary, Arnav Bhavsar, Varun Dutt:
Retention from ancient Indian scriptures: Evaluating VR-based storytelling against the traditional methods. PETRA 2024 - [c50]Arti Devi, Shashank Uttrani, Aryansh Singla, Sarthak Jha, Nataraj Dasgupta, Sayee Natarajan, Rajeshwari S. Punekar, Larry A. Pickett, Varun Dutt:
Automating Clinical Trial Eligibility Screening: Quantitative Analysis of GPT Models versus Human Expertise. PETRA 2024 - [c49]Sagnik Ghosh, Kirti Tripathi, Ankita Garg, Dinesh Singh, Amit Prasad, Arnav Bhavsar, Varun Dutt:
Predicting Stress among Students via Psychometric Assessments and Machine Learning. PETRA 2024 - [c48]Shashank Kapoor, Shashank Uttrani, Gunjan Paul, Varun Dutt:
Exploring Performance in Complex Search-and-Retrieve Tasks: A Comparative Analysis of PPO and GAIL Robots. PETRA 2024 - [c47]Ritu Kapur, Ritik Sharma, Vikrant Kanwar, Arnav Bhavsar, Varun Dutt:
SugarControl: An Integrative Mobile App for Type 2 Diabetes Management through Yoga Meditation and Lifestyle Interventions. PETRA 2024 - [c46]Akash K. Rao, Vishnu K. Menon, Darshil Shah, Arnav Bhavsar, Varun Dutt:
Prediction of multitasking performance post-longitudinal tDCS via EEG-based functional connectivity and machine learning methods. PETRA 2024 - [c45]Kirti Tripathi, Srishti Swaroop, Ankush Arya, Divyansh Pandey, Arnav Bhavsar, Varun Dutt:
Exploring the Effects of Yoga on Self-Esteem and Emotional Well-Being in Stressed College Students: A Randomized Controlled Trial. PETRA 2024 - 2023
- [c44]Megha Sharma, Kuldeep Singh, Palvi Aggarwal, Varun Dutt:
How well does GPT phish people? An investigation involving cognitive biases and feedback. EuroS&P Workshops 2023: 451-457 - [c43]Akash K. Rao, Gitanshu Choudhary, Ramsingh Negi, Varun Dutt:
Is Virtual Reality better than desktop-based cognitive training? A neurobehavioral evaluation of visual processing and transfer performance. ISMAR-Adjunct 2023: 308-314 - [c42]Gitanshu Choudhary, Keshav Tadia, Varun Dutt:
Effects of Simulation Tools and Videos on People's Cognizance of Climate Change. PETRA 2023: 714-719 - [c41]Gaurav Jaswal, Geetanjali Sharma, Varun Dutt, Arnav Bhavsar:
Learning channel attention for decoding of visual imagined text from multi-band EEG using metric learning. PETRA 2023: 720-727 - [c40]Anuj Nandanwar, Varun Dutt:
Assessing stress, anxiety, and depression with social robots via conversational AI. PETRA 2023: 732-738 - [c39]Shilpa Chandra, Kulbhushan Chand, Varun Dutt:
Impact of Indian Classical Raga in Immersive Environments on Human Psycho-physiological Parameters. PETRA 2023: 746-753 - [c38]Ankita Garg, Kirti Tripathi, Shatakshi Goyal, Laxmidhar Behera, Varun Dutt:
The impact of Odissi dance on stress, anxiety, and depression levels among young adults. PETRA 2023: 754-759 - [c37]Akash K. Rao, Zoha Fatma, Vishnu K. Menon, Arnav Bhavsar, Shubhajit Roy Chowdhury, Sushil Chandra, Varun Dutt, Kulbhushan Chand:
Prediction of decision-making performance post-longitudinal tDCS administration via EEG features and machine learning. PETRA 2023: 760-765 - [c36]Durgesh Ameta, Ankita Garg, Parveen Kumar, Laxmidhar Behera, Varun Dutt:
Evaluating the Effectiveness of Mantra Meditation in a 360 Virtual Reality Environment. PETRA 2023: 766-772 - [c35]Akash K. Rao, Gunjan Y. Trivedi, Anshika Bajpai, Gajraj Singh Chouhan, Riri G. Trivedi, Anita Kumar, Varun Dutt, Kathirvel Soundappan, Hemalatha Ramani:
Predicting Adverse Childhood Experiences via Machine Learning Ensembles. PETRA 2023: 773-779 - [c34]Darshil Shah, Akash K. Rao, Arnav Bhavsar, Shubhajit Roy Chowdhury, Sushil Chandra, Varun Dutt:
Does longitudinal, anodal tDCS improve working memory? A behavioral investigation: tDCS and Working Memory. PETRA 2023: 780-786 - [c33]Aadhar Gupta, Mahavir Dabas, Shashank Uttrani, Sakshi Sharma, Varun Dutt:
Modeling Human Actions in the Cart-Pole Game Using Cognitive and Deep Reinforcement Learning Approach. SBP-BRiMS 2023: 189-198 - 2022
- [c32]Aadhar Gupta, Shashank Uttrani, Gunjan Paul, Bhavik Kanekar, Varun Dutt:
Multi-human Intelligence in Instance-Based Learning. ICONIP (5) 2022: 540-549 - [c31]Megha Sharma, Mayank Kumar, Cleotilde Gonzalez, Varun Dutt:
How the Presence of Cognitive Biases in Phishing Emails Affects Human Decision-Making? ICONIP (5) 2022: 550-560 - [c30]Aashima, Shashank Bhargav, Shruti Kaushik, Varun Dutt:
Development of Ensemble Tree Models for Generalized Blood Glucose Level Prediction. RICE 2022: 55-61 - 2020
- [c29]Abhinav Choudhury, Shruti Kaushik, Varun Dutt:
Influence of Followers on Twitter Sentiments About Rare Disease Medications. FICTA (2) 2020: 595-603 - [c28]Akash K. Rao, Sushil Chandra, Varun Dutt:
Desktop and Virtual-Reality Training Under Varying Degrees of Task Difficulty in a Complex Search-and-Shoot Scenario. HCI (46) 2020: 421-439 - [c27]Debashis Sahoo, Naveksha Sood, Usha Rani, George Abraham, Varun Dutt, Dileep D.:
Comparative Analysis of Multi-Step Time-Series Forecasting for Network Load Dataset. ICCCNT 2020: 1-7 - [c26]Rishi Sharma, Tushar Saini, Praveen Kumar, Ankush Pathania, Khyathi Chitineni, Pratik Chaturvedi, Varun Dutt:
An Online Low-Cost System for Air Quality Monitoring, Prediction, and Warning. ICDCIT 2020: 311-324 - [c25]Neha Sharma, Varun Dutt:
Modeling Decisions from Experience Among Frequent and Infrequent Switchers via Strategy-Based and Instance-Based Models. SBP-BRiMS 2020: 340-349 - 2019
- [c24]Palvi Aggarwal, Aksh Gautam, Vaibhav Agarwal, Cleotilde Gonzalez, Varun Dutt:
HackIT: A Human-in-the-Loop Simulation Tool for Realistic Cyber Deception Experiments. AHFE (9) 2019: 109-121 - [c23]Pratik Chaturvedi, Varun Dutt:
Influence of Social Norms on Decision-Making Against Landslide Risks in Interactive Simulation Tools. AHFE (7) 2019: 300-310 - [c22]Medha Kumar, Kapil Agrawal, Varun Dutt:
Modeling Decisions in Collective Risk Social Dilemma Games for Climate Change Using Reinforcement Learning. CogSIMA 2019: 26-33 - [c21]Akash K. Rao, Jibraan Singh Chahal, Sushil Chandra, Varun Dutt:
Virtual-Reality Training Under Varying Degrees of Task Difficulty in a Complex Search-and-Shoot Scenario. IHCI 2019: 248-258 - [c20]Shruti Kaushik, Abhinav Choudhury, Ashutosh Kumar Jatav, Nataraj Dasgupta, Sayee Natarajan, Larry A. Pickett, Varun Dutt:
Comparative Analysis of Features Selection Techniques for Classification in Healthcare. MLDM (2) 2019: 458-472 - [c19]Naveksha Sood, Shruti Kaushik, Aditya Nigam, Sriram Kailasam, Dileep D., Varun Dutt:
Applications of Statistical and Machine Learning Time-Series Methods for Predicting Internet Usage. MLDM (2) 2019: 760-774 - [c18]Praveen Kumar, Priyanka, Ankush Pathania, Shubham Agarwal, Naresh Mali, Ravinder Singh, Pratik Chaturvedi, Kala Venkata Uday, Varun Dutt:
Predictions of Weekly Slope Movements Using Moving-Average and Neural Network Methods: A Case Study in Chamoli, India. SocProS (2) 2019: 67-81 - 2018
- [c17]Zahid Maqbool, V. S. Chandrasekhar Pammi, Varun Dutt:
Cyber security: Influence of patching vulnerabilities on the decision-making of hackers and analysts. CyberSA 2018: 1-8 - [c16]Pratik Chaturvedi, Varun Dutt:
Interactive Landslide Simulator: Role of Contextual Feedback in Learning Against Landslide Risks. IHCI 2018: 170-179 - [c15]Shruti Kaushik, Abhinav Choudhury, Nataraj Dasgupta, Sayee Natarajan, Larry A. Pickett, Varun Dutt:
Evaluating Frequent-Set Mining Approaches in Machine-Learning Problems with Several Attributes: A Case Study in Healthcare. MLDM (1) 2018: 244-258 - [c14]Akash K. Rao, Chandan Satyarthi, Utkrisht Dhankar, Sushil Chandra, Varun Dutt:
Indirect Visual Displays: Influence of Field-of-Views and Target-Distractor Base-Rates on Decision-Making in a Search-and-Shoot Task. SMC 2018: 4326-4332 - 2017
- [c13]Abhinav Choudhury, Shruti Kaushik, Varun Dutt:
Social-Network Analysis for Pain Medications: Influential physicians may not be high-volume prescribers. ASONAM 2017: 881-885 - [c12]Palvi Aggarwal, Cleotilde Gonzalez, Varun Dutt:
Modeling the effects of amount and timing of deception in simulated network scenarios. CyberSA 2017: 1-7 - [c11]Abhinav Choudhury, Shruti Kaushik, Varun Dutt:
Data-mining medications for pain: analyzing adoption behavior of physicians and switching behavior of patients. ICC 2017: 115:1-115:8 - 2016
- [c10]Palvi Aggarwal, Cleotilde Gonzalez, Varun Dutt:
Looking from the hacker's perspective: Role of deceptive strategies in cyber security. CyberSA 2016: 1-6 - [c9]Zahid Maqbool, V. S. Chandrasekhar Pammi, Varun Dutt:
Cybersecurity: Effect of information availability in security games. CyberSA 2016: 1-5 - [c8]Shruti Kaushik, Abhinav Choudhury, Kaustubh Mallik, Anzer Moid, Varun Dutt:
Applying Data Mining to Healthcare: A Study of Social Network of Physicians and Patient Journeys. MLDM 2016: 599-613 - 2015
- [c7]Palvi Aggarwal, Zahid Maqbool, Antra Grover, V. S. Chandrasekhar Pammi, Saumya Singh, Varun Dutt:
Cyber security: A game-theoretic analysis of defender and attacker strategies in defacing-website games. CyberSA 2015: 1-8 - [c6]Pradipta Biswas, Varun Dutt:
Effect of Road Conditions on Gaze-Control Interface in an Automotive Environment. HCI (10) 2015: 108-116 - 2014
- [c5]Ajay Kumar, Jai Prakash, Varun Dutt:
Understanding Human Driving Behavior through Computational Cognitive Modeling. IOV 2014: 56-65 - [c4]Shoubhik Debnath, Shiv Sankar Baishya, Rudolph Triebel, Varun Dutt, Daniel Cremers:
Environment-Adaptive Learning: How Clustering Helps to Obtain Good Training Data. KI 2014: 68-79 - 2011
- [c3]Varun Dutt, Jolie M. Martin, Cleotilde Gonzalez:
Modeling Social Information in Conflict Situations through Instance-Based Learning Theory. CogSci 2011 - [c2]Varun Dutt, Daniel N. Cassenti, Cleotilde Gonzalez:
Modeling a robotics operator manager in a tactical battlefield. CogSIMA 2011: 82-87 - [c1]Varun Dutt, Young-Suk Ahn, Cleotilde Gonzalez:
Cyber Situation Awareness: Modeling the Security Analyst in a Cyber-Attack Scenario through Instance-Based Learning. DBSec 2011: 280-292
Parts in Books or Collections
- 2020
- [p1]Palvi Aggarwal, Cleotilde Gonzalez, Varun Dutt:
HackIt: A Real-Time Simulation Tool for Studying Real-World Cyberattacks in the Laboratory. Handbook of Computer Networks and Cyber Security 2020: 949-959
Data and Artifacts
- 2024
- [d2]Varun Dutt, Mahavir Dabas, Shashank Uttrani, Aadhar Gupta:
Human decision-making data in the cart-pole game. IEEE DataPort, 2024
- 2020
- [d1]Shruti Kaushik, Abhinav Choudhury, Varun Dutt:
Medicine data. IEEE DataPort, 2020
Informal and Other Publications
- 2024
- [i5]Akash K. Rao, Vishnu K. Menon, Shashank Uttrani, Ayushman Dixit, Dipanshu Verma, Varun Dutt:
Classification of executive functioning performance post-longitudinal tDCS using functional connectivity and machine learning methods. CoRR abs/2401.17700 (2024) - [i4]Akash K. Rao, Gunjan Y. Trivedi, Riri G. Trivedi, Anshika Bajpai, Gajraj Singh Chouhan, Vishnu K. Menon, Kathirvel Soundappan, Hemalatha Ramani, Neha Pandya, Varun Dutt:
Predicting suicidal behavior among Indian adults using childhood trauma, mental health questionnaires and machine learning cascade ensembles. CoRR abs/2401.17705 (2024) - [i3]Akash K. Rao, Shashank Uttrani, Vishnu K. Menon, Darshil Shah, Arnav Bhavsar, Shubhajit Roy Chowdhury, Varun Dutt:
Prediction of multitasking performance post-longitudinal tDCS via EEG-based functional connectivity and machine learning methods. CoRR abs/2401.17711 (2024) - [i2]Akash K. Rao, Vishnu K. Menon, Arnav Bhavsar, Shubhajit Roy Chowdhury, Ramsingh Negi, Varun Dutt:
Classification of attention performance post-longitudinal tDCS via functional connectivity and machine learning methods. CoRR abs/2402.00090 (2024) - [i1]Akash K. Rao, Arnav Bhavsar, Shubhajit Roy Chowdhury, Sushil Chandra, Ramsingh Negi, Prakash Duraisamy, Varun Dutt:
Evaluating the efficacy of haptic feedback, 360° treadmill-integrated Virtual Reality framework and longitudinal training on decision-making performance in a complex search-and-shoot simulation. CoRR abs/2404.09147 (2024)
Coauthor Index
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