Ebrahimi, Touradj

DEAP: A Database for Emotion Analysis ;Using Physiological Signals

Koelstra, S., Muhl, C., Soleymani, M., Lee, J.-S., Yazdani, A., Ebrahimi, T., Pun, T., Nijholt, A., & Patras, I. (2012) · IEEE Transactions on Affective Computing

Emotion and Mood RecognitionEEG and Brain-Computer Interfaces

Cited by 5,093

An efficient P300-based brain–computer interface for disabled subjects

Hoffmann, U., Vesin, J.-M., Ebrahimi, T., & Diserens, K. (2008) · Journal of Neuroscience Methods

EEG and Brain-Computer InterfacesGaze Tracking and Assistive Technology

Cited by 859

Prediction of asynchronous dimensional emotion ratings from audiovisual and physiological data

Ringeval, F., Eyben, F., Kroupi, E., Yuce, A., Thiran, J.-P., Ebrahimi, T., Lalanne, D., & Schuller, B. (2015) · Pattern Recognition Letters

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 202

Assessment framework for deepfake detection in real-world situations

Lu, Y., & Ebrahimi, T. (2024) · EURASIP Journal on Image and Video Processing

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 60

Towards fully automatic image segmentation evaluation

Goldmann, L., Adamek, T., Vajda, P., Karaman, M., Mörzinger, R., Galmar, E., Sikora, T., O’Connor, N. E., Ha-Minh, T., Ebrahimi, T., et al. (2008) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 18

Towards an efficient methodology for evaluation of quality of experience in Augmented Reality

Puig, J., Perkis, A., Lindseth, F., & Ebrahimi, T. (2012) · 2012 Fourth International Workshop on Quality of Multimedia Experience

Augmented Reality ApplicationsVirtual Reality Applications and Impacts

Cited by 17