Harisu Abdullahi Shehu

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ALERT! This person can no longer be contacted through the School of Engineering and Computer Science at Victoria University of Wellington

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My main research is on Emotion Detection from patterns of facial movement and physiological changes.

Publications
  • Shehu, H. A., Browne, W.N., & Eisenbarth, H., (2024) "Attention-based methods for emotion categorization from partially covered faces," IEEE Transactions on Emerging Topics in Computational Intelligence, 8(1), 1057-1070, doi: 10.1109/TETCI.2023.3332891
  • Eisenbarth, H.*, Oxner, M.*, Shehu, H. A.*, Gastrell, T., Walsh, A., Browne, W.N., & Xue, B., (2024) "Emotional arousal pattern (EMAP): A new database for modeling momentary subjective and psychophysiological responding to affective stimuli," Psychophysiology, 61(2), e14446, doi: 10.1111/psyp.14446
  • Shehu, H. A., Oxner, M., Browne, W.N., & Eisenbarth, H., (2023) "Prediction of moment‐by‐moment heart rate and skin conductance changes in the context of varying emotional arousal," Psychophysiology, e14303, doi: 10.1111/psyp.14303
  • Shehu, H. A., Browne, W.N., & Eisenbarth, H., (2022) "A Comparison of Humans and Machine Learning Classifiers Detecting Emotion from Faces of People with Different Coverings," Applied Soft Computing journal, 130, doi: 10.1016/j.asoc.2022.109701
  • Shehu, H. A., Browne, W.N., & Eisenbarth, H., (2022) "An Anti-Attack Method for Emotion Categorization from Images," Applied Soft Computing journal, 128, 109456, doi: 10.1016/j.asoc.2022.109456
  • Shehu, H. A., Browne, W. N., & Eisenbarth, H., (2021) "An Out-of-distribution Attack Resistance Approach to Emotion Categorization," IEEE Transactions on Artificial Intelligence, doi: 10.1109/TAI.2021.3105371
  • Shehu, H. A., Browne, W. N., & Eisenbarth, H., (2021) "Particle Swarm Optimization for Feature Selection in Emotion Categorization," IEEE Congress on Evolutionary Computation (CEC), 2021, pp. 752-759, doi: 10.1109/CEC45853.2021.9504986.
  • Shehu H.A., Siddique A., Browne W. N., Eisenbarth H. (2021) Lateralized Approach for Robustness Against Attacks in Emotion Categorization from Images. In: Castillo P.A., Jiménez Laredo J.L. (eds) Applications of Evolutionary Computation. EvoApplications 2021. Lecture Notes in Computer Science, vol 12694. Springer, Cham. https://doi.org/10.1007/978-3-030-72699-7_30
  • Shehu, H. A. , Browne, W. N., & Eisenbarth, H. An Adversarial Attacks Resistance-based Approach to Emotion Recognition from Images using Facial Landmarks. In 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) (pp. 1307-1314). IEEE. https://doi.org/10.1109/RO-MAN47096.2020.9223510
  • Shehu H.A., Browne W. N., & Eisenbarth H. (2020) Emotion Categorization from Video-Frame Images Using a Novel Sequential Voting Technique. In: Bebis G. et al. (eds) Advances in Visual Computing. ISVC 2020. Lecture Notes in Computer Science, vol 12510. Springer, Cham. https://doi.org/10.1007/978-3-030-64559-5_49
* Equal contribution

Published Abstracts
  • Shehu, H. A., Oxner, M., Browne, W. N., & Eisenbarth, H., "Moment-by-moment Prediction of Physiological Responses to Emotional Stimuli", 2022 Australasian Brain & Psychological Sciences Meeting.
  • Shehu, H. A., Oxner, M., Gastrell, T., Walsh, A., Browne, W. N., Xue, B., & Eisenbarth, H., "Moment-by-moment Prediction of Emotional Arousal and Physiological Responses", 2021 Australasian Neuroscience Conference.
Media
  • When faces are partially covered, neither people nor algorithms are good at reading emotions, The Conversation [link]
  • Face masks and recognising emotions, RNZ [link]
More of my publications can be found on Google Scholar

Links You can read more about me on my homepage
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