Ionescu, Radu Tudor

Challenges in Representation Learning: A Report on Three Machine Learning Contests

Goodfellow, I. J., Erhan, D., Carrier, P. L., Courville, A., Mirza, M., Hamner, B., Cukierski, W., Tang, Y., Thaler, D., Lee, D.-H., et al. (2013) · Lecture Notes in Computer Science

Domain Adaptation and Few-Shot LearningMachine Learning and Data Classification

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Challenges in representation learning: A report on three machine learning contests

Goodfellow, I. J., Erhan, D., Luc Carrier, P., Courville, A., Mirza, M., Hamner, B., Cukierski, W., Tang, Y., Thaler, D., Lee, D.-H., et al. (2015) · Neural Networks

Domain Adaptation and Few-Shot LearningMachine Learning and Data Classification

Cited by 697

Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection

Ristea, N.-C., Madan, N., Ionescu, R. T., Nasrollahi, K., Khan, F. S., Moeslund, T. B., & Shah, M. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Anomaly Detection Techniques and ApplicationsIndustrial Vision Systems and Defect Detection

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ExDDV: A New Dataset for Explainable Deepfake Detection in Video

Hondru, V., Hogea, E., Onchiş, D., & Ionescu, R. T. (2026) · 2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

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XMAD-Bench: Cross-Domain Multilingual Audio Deepfake Benchmark

Ciobanu, I.-P., Hiji, A.-I., Ristea, N.-C., Irofti, P., Rusu, C., & Ionescu, R. T. (2025) · arXiv

Speech Recognition and SynthesisDigital Media Forensic Detection

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