Research output per year
Research output per year
Personal profile
Research Interests
Automatic Face and Expression Recognition using Machine Learning, Recurrent Neural Networks and Deep Learning based Spatio-Temporal Analysis, Affect Analysis for Human-Computer Interaction, and Explainable Artificial Intelligence. Hima Vadapalli has worked in application areas, namely Health Sciences, Financial Forecasting, Multimodal Biometric Systems, and Education.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Action Unit Recognition: Leveraging Weak Supervision with Large Loss Rejection
Enabor, O. & Vadapalli, H., 2024, Intelligent Computing - Proceedings of the 2024 Computing Conference. Arai, K. (ed.). Springer Science and Business Media Deutschland GmbH, p. 349-363 15 p. (Lecture Notes in Networks and Systems; vol. 1018 LNNS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Affect Analysis: A Literature Survey on Student-Specific and General Users’ Affect Analysis
Asaju, C. & Vadapalli, H., 2024, Intelligent Computing - Proceedings of the 2024 Computing Conference. Arai, K. (ed.). Springer Science and Business Media Deutschland GmbH, p. 299-327 29 p. (Lecture Notes in Networks and Systems; vol. 1019 LNNS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Exercise Recognition and Repetition Counting for Automatic Workout Documentation Using Computer Vision
Volschenk, F., Vadapalli, H. & van der Haar, D., 2024, Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management - 15th International Conference, DHM 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings. Duffy, V. G. (ed.). Springer Science and Business Media Deutschland GmbH, p. 298-309 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14711 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Innovations in Mosquito Identification: Integrating Deep Learning with Citizen Science
Mathoho, M., van der Haar, D. & Vadapalli, H., 2024, Artificial Intelligence in Healthcare - 1st International Conference, AIiH 2024, Proceedings. Xie, X., Powathil, G., Styles, I. & Ceccarelli, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 189-202 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14976 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Adaptive Reasoning: An Affect Related Feedback Approach for Enhanced E-Learning
Asaju, C. & Vadapalli, H., 2022, Artificial Intelligence Research - Third Southern African Conference, SACAIR 2022, Proceedings. Pillay, A., Jembere, E. & Gerber, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 215-230 16 p. (Communications in Computer and Information Science; vol. 1734 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review