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ORCIDVarun Mandalapu
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2020 – today
- 2023
[j2]Varun Mandalapu
, Lavanya Elluri, Piyush Vyas, Nirmalya Roy:
Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions. IEEE Access 11: 60153-60170 (2023)- [c11]Anantaa Kotal, Lavanya Elluri, Deepti Gupta, Varun Mandalapu, Anupam Joshi:
Privacy-Preserving Data Sharing in Agriculture: Enforcing Policy Rules for Secure and Confidential Data Synthesis. IEEE Big Data 2023: 5519-5528 - [i4]Varun Mandalapu, Lavanya Elluri, Piyush Vyas, Nirmalya Roy:
Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions. CoRR abs/2303.16310 (2023) - [i3]Lavanya Elluri, Varun Mandalapu, Piyush Vyas, Nirmalya Roy:
Advances in Cybercrime Prediction: A Survey of Machine, Deep, Transfer, and Adaptive Learning Techniques. CoRR abs/2304.04819 (2023) - [i2]Anantaa Kotal, Lavanya Elluri, Deepti Gupta, Varun Mandalapu, Anupam Joshi:
Privacy-Preserving Data Sharing in Agriculture: Enforcing Policy Rules for Secure and Confidential Data Synthesis. CoRR abs/2311.15460 (2023) - 2021
- [c10]Varun Mandalapu, Lujie Chen, Zhiyuan Chen, Jiaqi Gong:
Student-centric Model of Login Patterns: A Case Study with Learning Management Systems. EDM 2021 - [c9]Varun Mandalapu, Joseph M. Hart, John C. Lach, Jiaqi Gong:
Rehabilitation Tracking of Athletes Post Anterior Cruciate Ligament Reconstruction (ACL-R) Surgery Through Causal Analysis of Gait Data & Computational Modeling. EMBC 2021: 980-984 - [i1]Varun Mandalapu, Jiaqi Gong, Lujie Chen:
Do we need to go Deep? Knowledge Tracing with Big Data. CoRR abs/2101.08349 (2021) - 2020
- [c8]Heera Lee, Varun Mandalapu, Andrea Kleinsmith, Jiaqi Gong:
Distinguishing Anxiety Subtypes of English Language Learners Towards Augmented Emotional Clarity. AIED (2) 2020: 157-161 - [c7]Heera Lee, Varun Mandalapu, Jiaqi Gong, Andrea Kleinsmith, Ravi Kuber:
Using Physiological Cues to Determine Levels of Anxiety Experienced among Deaf and Hard of Hearing English Language Learners. ICMI Companion 2020: 72-76
2010 – 2019
- 2019
- [j1]Varun Mandalapu, Jiaqi Gong:
Understanding Affective Dynamics of Learning Toward a Ubiquitous Learning System. GetMobile Mob. Comput. Commun. 23(2): 9-15 (2019) - [c6]Charissa S. L. Cheah, Stephen P. Kaputsos, Varun Mandalapu, Truc Tran, Salih Barman, Sarah E. Jung, Kathy T. T. Vu, Travis D. Masterson, Ryan Zuber, Lee Boot, Jiaqi Gong:
Neurophysiological Variations in Food Decision-Making within Virtual and Real Environments. BHI 2019: 1-4 - [c5]Varun Mandalapu, Nutta Homdee, Joseph M. Hart, John C. Lach, Stephan Bodkin, Jiaqi Gong:
Developing Computational Models for Personalized ACL Injury Classification. BSN 2019: 1-4 - [c4]Dae-young Kim, Varun Mandalapu, Joseph M. Hart, Stephan Bodkin, Nutta Homdee, John C. Lach, Jiaqi Gong:
Poster Abstract: Examining Cross-Validation Strategies for Predictive Modeling of Anterior Cruciate Ligament Reinjury. CHASE 2019: 27-28 - [c3]Varun Mandalapu, Jiaqi Gong:
Studying Factors Influencing the Prediction of Student STEM and Non-STEM Career Choice. EDM 2019 - [c2]Lavanya Elluri, Varun Mandalapu, Nirmalya Roy:
Developing Machine Learning Based Predictive Models for Smart Policing. SMARTCOMP 2019: 198-204 - 2018
- [c1]Varun Mandalapu, Jiaqi Gong:
Towards Better Affect Detectors: Detecting Changes Rather Than States. AIED (2) 2018: 199-203
Coauthor Index
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