B. Khaertdinov | Maastricht University

Khaertdinov, B. (2024). Feature representation learning for human activity recognition. [Doctoral Thesis, Maastricht University]. Maastricht University. https://doi.org/10.26481/dis.20240618bk

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Mousavi, S. M. H., Khaertdinov, B., Jeuris, P., Hortal, E., Andreoletti, D., & Giordano, S. (2023). Emotion Recognition in Adaptive Virtual Reality Settings: Challenges and Opportunities. CEUR Workshop Proceedings, 3517, 1-20. Article 193704. https://ceur-ws.org/Vol-3517/paper1.pdf

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Khaertdinov, B., & Asteriadis, S. (2023). Explaining, Analyzing, and Probing Representations of Self-Supervised Learning Models for Sensor-based Human Activity Recognition. In 2023 IEEE International Joint Conference on Biometrics, IJCB 2023 IEEE. https://doi.org/10.1109/IJCB57857.2023.10448965

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Khaertdinov, B., Asteriadis, S., & Ghaleb, E. (2022). Dynamic Temperature Scaling in Contrastive Self-Supervised Learning for Sensor-Based Human Activity Recognition. IEEE Transactions on Biometrics, Behavior, and Identity Science, 4(4), 498-507. https://doi.org/10.1109/TBIOM.2022.3180591

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Brinzea, R., Khaertdinov, B., & Asteriadis, S. (2022). Contrastive Learning with Cross-Modal Knowledge Mining for Multimodal Human Activity Recognition. In 2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) IEEE. https://doi.org/10.1109/IJCNN55064.2022.9892522

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Khaertdinov, B., & Asteriadis, S. (2022). Temporal Feature Alignment in Contrastive Self-Supervised Learning for Human Activity Recognition. In 2022 IEEE INTERNATIONAL JOINT CONFERENCE ON BIOMETRICS (IJCB) IEEE. https://doi.org/10.1109/IJCB54206.2022.10007984

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Khaertdinov, B., Ghaleb, E., & Asteriadis, S. (2021). Contrastive Self-supervised Learning for Sensor-based Human Activity Recognition. In 2021 IEEE International Joint Conference on Biometrics (IJCB) IEEE. https://doi.org/10.1109/IJCB52358.2021.9484410

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Khaertdinov, B., Semerci, Y. C., & Asteriadis, S. (2021). Dementia Wandering Recognition using Classical Machine Learning and Deep Learning Techniques with Skeletal Trajectories. In PETRA 2021: The 14th PErvasive Technologies Related to Assistive Environments Conference (pp. 446-452). Association for Computing Machinery. https://doi.org/10.1145/3453892.3461343

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Khaertdinov, B., Ghaleb, E., & Asteriadis, S. (2021). Deep Triplet Networks with Attention for Sensor-based Human Activity Recognition. In 2021 IEEE International Conference on Pervasive Computing and Communications (PerCom) (pp. 1-10). Article 9439116 IEEE Xplore. https://doi.org/10.1109/PERCOM50583.2021.9439116

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