Referred Journals
Shehu, H. A., Browne, W. N. and Eisenbarth, H., "Attention-Based Methods for Emotion Categorization from Partially Covered Faces", IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, vol. 8, no. 1 pp. 1057-1070. doi: 10.1109/TETCI.2023.3332891.
Eisenbarth, H.*, Oxner, M.*, Shehu, H. A.*, Gastrell, T., Browne, W. N. and Xue, B., "Emotional arousal pattern (EMAP): A new database for modelling momentary subjective and psychophysiological responding to affective stimuli", 2024, Psychophysiology, e14446. doi: 10.1111/psyp.14446.
Shehu, H. A., Browne, W. N. and Eisenbarth, H., "Prediction of moment‐by‐moment heart rate and skin conductance changes in the context of varying emotional arousal", 2023, Psychophysiology, e14303. doi: 10.1111/psyp.14303
Shehu, H. A., Browne, W. N. and Eisenbarth, H., "A comparison of humans and machine learning classifiers categorizing emotion from faces with different coverings," in Applied Soft Computing, vol. 128, no. 6, pp. 109456, Oct. 2022, doi: 10.1016/j.asoc.2022.109701.
Wakili, M. A., Shehu, H. A., Sharif, M.H., Sharif, M.H.U, Umar, A. Kusetogullari, H., Ince, I.F. and Uyaver, S., "Classification of Breast Cancer Histopathological Images Using DenseNet and Transfer Learning," in Computational Intelligence and Neuroscience, vol. 2022, no. 8904768, Oct. 2022, doi: 10.1155/2022/8904768.
Bulut, F., Shehu, H. A. and Ince, I.F., "Performance boosting of image matching-based iris recognition systems using deformable circular hollow kernels and uniform histogram fusion images," in Journal of Electronic Imaging, vol. 31, Issues 5, pp. 053036, Oct. 2022, doi: 10.1117/1.JEI.31.5.053036.
Shehu, H. A., Browne, W. N. and Eisenbarth, H., "An anti-attack method for emotion categorization from images," in Applied Soft Computing, vol. 128, no. 6, pp. 109456, Aug. 2022, doi: 10.1016/j.asoc.2022.109456.
Shehu, H. A., Browne, W. N. and Eisenbarth, H., "An Out-of-Distribution Attack Resistance Approach to Emotion Categorization," in IEEE Transactions on Artificial Intelligence, vol. 2, no. 6, pp. 564-573, Dec. 2021, doi: 10.1109/TAI.2021.3105371.
Shehu, H. A., Sharif, M. H., Sharif, M. H. U., Datta, R., Tokat, S., Uyaver, S., ... & Ramadan, R. A. (2021). Deep Sentiment Analysis: A Case Study on Stemmed Turkish Twitter Data. IEEE Access, 9, 56836-56854, doi: 10.1109/ACCESS.2021.3071393
Shehu H. A., Sharif M. H., Ramadan R.A., (2020) Distributed Mutual Exclusion Algorithm for Intersection Traffic Problems, in IEEE Access, vol. 8, pp. 138277-138296, doi: 10.1109/ACCESS.2020.3012573
* Equal contribution
Shehu, H. A., Browne, W. N. and Eisenbarth, H., "Attention-Based Methods for Emotion Categorization from Partially Covered Faces", IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, vol. 8, no. 1 pp. 1057-1070. doi: 10.1109/TETCI.2023.3332891.
Eisenbarth, H.*, Oxner, M.*, Shehu, H. A.*, Gastrell, T., Browne, W. N. and Xue, B., "Emotional arousal pattern (EMAP): A new database for modelling momentary subjective and psychophysiological responding to affective stimuli", 2024, Psychophysiology, e14446. doi: 10.1111/psyp.14446.
Shehu, H. A., Browne, W. N. and Eisenbarth, H., "Prediction of moment‐by‐moment heart rate and skin conductance changes in the context of varying emotional arousal", 2023, Psychophysiology, e14303. doi: 10.1111/psyp.14303
Shehu, H. A., Browne, W. N. and Eisenbarth, H., "A comparison of humans and machine learning classifiers categorizing emotion from faces with different coverings," in Applied Soft Computing, vol. 128, no. 6, pp. 109456, Oct. 2022, doi: 10.1016/j.asoc.2022.109701.
Wakili, M. A., Shehu, H. A., Sharif, M.H., Sharif, M.H.U, Umar, A. Kusetogullari, H., Ince, I.F. and Uyaver, S., "Classification of Breast Cancer Histopathological Images Using DenseNet and Transfer Learning," in Computational Intelligence and Neuroscience, vol. 2022, no. 8904768, Oct. 2022, doi: 10.1155/2022/8904768.
Bulut, F., Shehu, H. A. and Ince, I.F., "Performance boosting of image matching-based iris recognition systems using deformable circular hollow kernels and uniform histogram fusion images," in Journal of Electronic Imaging, vol. 31, Issues 5, pp. 053036, Oct. 2022, doi: 10.1117/1.JEI.31.5.053036.
Shehu, H. A., Browne, W. N. and Eisenbarth, H., "An anti-attack method for emotion categorization from images," in Applied Soft Computing, vol. 128, no. 6, pp. 109456, Aug. 2022, doi: 10.1016/j.asoc.2022.109456.
Shehu, H. A., Browne, W. N. and Eisenbarth, H., "An Out-of-Distribution Attack Resistance Approach to Emotion Categorization," in IEEE Transactions on Artificial Intelligence, vol. 2, no. 6, pp. 564-573, Dec. 2021, doi: 10.1109/TAI.2021.3105371.
Shehu, H. A., Sharif, M. H., Sharif, M. H. U., Datta, R., Tokat, S., Uyaver, S., ... & Ramadan, R. A. (2021). Deep Sentiment Analysis: A Case Study on Stemmed Turkish Twitter Data. IEEE Access, 9, 56836-56854, doi: 10.1109/ACCESS.2021.3071393
Shehu H. A., Sharif M. H., Ramadan R.A., (2020) Distributed Mutual Exclusion Algorithm for Intersection Traffic Problems, in IEEE Access, vol. 8, pp. 138277-138296, doi: 10.1109/ACCESS.2020.3012573
* Equal contribution
Conferences
Shehu, H. A., Browne, W. N. & Eisenbarth, H., 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., Browne, W. N. & Eisenbarth, H., An Adversarial Attacks Resistance-based Approach to Emotion Recognition from Images using Facial Expression Landmarks, IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2020), doi: 10.1109/RO-MAN47096.2020.9223510.
Shehu, H. A., Sharif, M. H. & Uyaver, S., (2021, March). Facial expression recognition using deep learning. In AIP Conference Proceedings (Vol. 2334, No. 1, p. 070003). AIP Publishing LLC. doi: 10.1063/5.0042221
Shehu, H. A., Tokat, S., Sharif, M. H. & Uyaver, S., Sentiment Analysis of Turkish Twitter Data, Third International Conference of Mathematical Sciences (ICMS 2019), 2183, 080004-1–080004-4, 2019, doi: 10.1063/1.5136197
Shehu, H. A., Browne, W. N. & Eisenbarth, H., 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., Browne, W. N. & Eisenbarth, H., An Adversarial Attacks Resistance-based Approach to Emotion Recognition from Images using Facial Expression Landmarks, IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2020), doi: 10.1109/RO-MAN47096.2020.9223510.
Shehu, H. A., Sharif, M. H. & Uyaver, S., (2021, March). Facial expression recognition using deep learning. In AIP Conference Proceedings (Vol. 2334, No. 1, p. 070003). AIP Publishing LLC. doi: 10.1063/5.0042221
Shehu, H. A., Tokat, S., Sharif, M. H. & Uyaver, S., Sentiment Analysis of Turkish Twitter Data, Third International Conference of Mathematical Sciences (ICMS 2019), 2183, 080004-1–080004-4, 2019, doi: 10.1063/1.5136197
Book Chapters
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. doi: 10.1007/978-3-030-72699-7_30
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. International Symposium on Visual Computing (ISVC 2020) . Lecture Notes in Computer Science, vol 12510. Springer, Cham. doi: 10.1007/978-3-030-64559-5_49
Shehu, H. A., Sharif, M. H., Uyaver, S., Tokat, S. & Ramadan, R. A. "Sentiment Analysis of Turkish Twitter Data using Polarity Lexicon and Artificial Intelligence."International Conference on Emerging Intelligence in Computing (ICETIC 2020). Springer, 2020. doi: 10.1007/978-3-030-60036-5_8 (won Best Paper Award)
Shehu, H. A., and Tokat, S. . "A Hybrid Approach for the Sentiment Analysis of Turkish Twitter Data." The International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2019). Springer, Cham, 2020. doi: 10.1007/978-3-030-36178-5_15
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. doi: 10.1007/978-3-030-72699-7_30
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. International Symposium on Visual Computing (ISVC 2020) . Lecture Notes in Computer Science, vol 12510. Springer, Cham. doi: 10.1007/978-3-030-64559-5_49
Shehu, H. A., Sharif, M. H., Uyaver, S., Tokat, S. & Ramadan, R. A. "Sentiment Analysis of Turkish Twitter Data using Polarity Lexicon and Artificial Intelligence."International Conference on Emerging Intelligence in Computing (ICETIC 2020). Springer, 2020. doi: 10.1007/978-3-030-60036-5_8 (won Best Paper Award)
Shehu, H. A., and Tokat, S. . "A Hybrid Approach for the Sentiment Analysis of Turkish Twitter Data." The International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2019). Springer, Cham, 2020. doi: 10.1007/978-3-030-36178-5_15
Thesis
Shehu, H.A. (2023) Emotion Detection and its Effect on Decision-making, PhD. Thesis, School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand.
Shehu, H.A. (2019) Kutupsallık Sözlüğü ve Yapay Zeka Yardımı ile Türkçe Twittter verileri Üzerinde Duygu Analizi. M.Sc. Thesis, Pamukkale University, Institute of Science, Computer Engineering Denizli, Turkey.
Shehu, H.A., Bomai A., (2016) .Tracking Movers From Laser Scanned Dataset. B.Sc. Thesis, Gediz University, Faculty of Architecture and Engineering, İzmir, Turkey.
Shehu, H.A. (2023) Emotion Detection and its Effect on Decision-making, PhD. Thesis, School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand.
Shehu, H.A. (2019) Kutupsallık Sözlüğü ve Yapay Zeka Yardımı ile Türkçe Twittter verileri Üzerinde Duygu Analizi. M.Sc. Thesis, Pamukkale University, Institute of Science, Computer Engineering Denizli, Turkey.
Shehu, H.A., Bomai A., (2016) .Tracking Movers From Laser Scanned Dataset. B.Sc. Thesis, Gediz University, Faculty of Architecture and Engineering, İzmir, Turkey.
More of my publications can be found on Google Scholar & Researchgate