Varun Mandalapu

According to our database, Varun Mandalapu authored at least 15 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

Advances in Cybercrime Prediction: A Survey of Machine, Deep, Transfer, and Adaptive Learning Techniques.

Lavanya Elluri, Varun Mandalapu, Piyush Vyas, Nirmalya Roy

CoRR, 2023

Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions.

Varun Mandalapu, Lavanya Elluri, Piyush Vyas, Nirmalya Roy

IEEE Access, 2023

Privacy-Preserving Data Sharing in Agriculture: Enforcing Policy Rules for Secure and Confidential Data Synthesis.

Anantaa Kotal, Lavanya Elluri, Deepti Gupta, Varun Mandalapu, Anupam Joshi

Proceedings of the IEEE International Conference on Big Data, 2023

2021

Do we need to go Deep? Knowledge Tracing with Big Data.

Varun Mandalapu, Jiaqi Gong, Lujie Chen

CoRR, 2021

Rehabilitation Tracking of Athletes Post Anterior Cruciate Ligament Reconstruction (ACL-R) Surgery Through Causal Analysis of Gait Data & Computational Modeling.

Varun Mandalapu, Joseph M. Hart, John C. Lach, Jiaqi Gong

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Student-centric Model of Login Patterns: A Case Study with Learning Management Systems.

Varun Mandalapu, Lujie Chen, Zhiyuan Chen, Jiaqi Gong

Proceedings of the 14th International Conference on Educational Data Mining, 2021

2020

Using Physiological Cues to Determine Levels of Anxiety Experienced among Deaf and Hard of Hearing English Language Learners.

Heera Lee, Varun Mandalapu, Jiaqi Gong, Andrea Kleinsmith, Ravi Kuber

Proceedings of the Companion Publication of the 2020 International Conference on Multimodal Interaction, 2020

Distinguishing Anxiety Subtypes of English Language Learners Towards Augmented Emotional Clarity.

Heera Lee, Varun Mandalapu, Andrea Kleinsmith, Jiaqi Gong

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019

Understanding Affective Dynamics of Learning Toward a Ubiquitous Learning System.

Varun Mandalapu, Jiaqi Gong

GetMobile Mob. Comput. Commun., 2019

Developing Machine Learning Based Predictive Models for Smart Policing.

Lavanya Elluri, Varun Mandalapu, Nirmalya Roy

Proceedings of the IEEE International Conference on Smart Computing, 2019

Studying Factors Influencing the Prediction of Student STEM and Non-STEM Career Choice.

Varun Mandalapu, Jiaqi Gong

Proceedings of the 12th International Conference on Educational Data Mining, 2019

Poster Abstract: Examining Cross-Validation Strategies for Predictive Modeling of Anterior Cruciate Ligament Reinjury.

Dae-young Kim, Varun Mandalapu, Joseph M. Hart, Stephan Bodkin, Nutta Homdee, John C. Lach, Jiaqi Gong

Proceedings of the 4th IEEE/ACM International Conference on Connected Health: Applications, 2019

Developing Computational Models for Personalized ACL Injury Classification.

Varun Mandalapu, Nutta Homdee, Joseph M. Hart, John C. Lach, Stephan Bodkin, Jiaqi Gong

Proceedings of the 16th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2019

Neurophysiological Variations in Food Decision-Making within Virtual and Real Environments.

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

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018

Towards Better Affect Detectors: Detecting Changes Rather Than States.

Varun Mandalapu, Jiaqi Gong

Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018