M.C. Popa
Key publications
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Dotti, D., Popa, M., & Asteriadis, S. (2020). Being the center of attention: A Person-Context CNN framework for Personality Recognition. Transactions on Interactive Intelligent Systems, 10(3), Article 19. https://doi.org/10.1145/3338245More information about this publication
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Ghaleb, E., Popa, M., & Asteriadis, S. (2020). Metric Learning-Based Multimodal Audio-Visual Emotion Recognition. Ieee Multimedia, 27(1), 37-48. https://doi.org/10.1109/MMUL.2019.2960219More information about this publication
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Dotti, D., Popa, M., & Asteriadis, S. (2020). A hierarchical autoencoder learning model for path prediction and abnormality detection. Pattern Recognition Letters, 130, 216-224. https://doi.org/10.1016/j.patrec.2019.06.030More information about this publication
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Ganesh, A., Popa, M., Odijk, D., & Tintarev, N. (2024). Does spatio-temporal information benefit the video summarization task? In AEQUITAS 2024: Workshop on Fairness and Bias in AI | co-located with ECAI 2024 (pp. 10-25) https://ceur-ws.org/Vol-3808/paper10.pdfMore information about this publication
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Dotti, D., Popa, M., & Asteriadis, S. (2018). Behavior and Personality Analysis in a nonsocial context Dataset. In 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (pp. 2417-2425). IEEE. https://doi.org/10.1109/CVPRW.2018.00312More information about this publication
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Thil, L.-A., Popa, M., & Spanakis, G. (2024). Navigating WebAI: Training Agents to Complete Web Tasks with Large Language Models and Reinforcement Learning. In Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing (pp. 866–874). Association for Computing Machinery. https://doi.org/10.1145/3605098.3635903More information about this publication
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Hertroijs, D., Elissen, A., Brouwers, MCGJ., Schaper, N., Köhler, S., Popa, M., Asteriadis, S., Hendriks, S., Bilo, H., & Ruwaard, D. (2018). A risk score of BMI, HbA1c and triglycerides predicts future glycemic control in type 2 diabetes. International Journal of Integrated Care, 18(s2), Article A276. https://doi.org/10.5334/ijic.s2276More information about this publication
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Alvarez, F., Popa, M., Solachidis, V., Hernandez-Penaloza, G., Belmonte-Hernandez, A., Asteriadis, S., Vretos, N., Quintana, M., Theodoridis, T., Dotti, D., & Daras, P. (2018). Behavior Analysis through Multimodal Sensing for Care of Parkinson's and Alzheimer's Patients. Ieee Multimedia, 25(1), 14-25. https://doi.org/10.1109/MMUL.2018.011921232More information about this publication
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Ghaleb, E., Popa, M., & Asteriadis, S. (2019). Multimodal and Temporal Perception of Audio-visual Cues for Emotion Recognition. In 8th International Conference on Affective Computing & Intelligent Interaction (ACII 2019), Cambridge, United Kingdom (pp. 552-558) https://doi.org/10.1109/ACII.2019.8925444More information about this publication
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Martin, D., Popa, M., Jiménez, J., Álvarez, F., Asteriadis, S., & Carrasco, L. (2018). A Novel Approach for Movement Evolution Tracking in Parkinson's Disease using Data Analysis and Fuzzy Logic. In Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference (pp. 455-461). The Association for Computing Machinery. https://doi.org/10.1145/3197768.3201557More information about this publication
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