| Classification of breast cancer histopathological images using DenseNet and transfer learning MA Wakili, HA Shehu, MH Sharif, MHU Sharif, A Umar, H Kusetogullari, ... Computational Intelligence and Neuroscience 2022 (1), 8904768, 2022 | 52 | 2022 |
| Deep sentiment analysis: a case study on stemmed Turkish twitter data HA Shehu, MH Sharif, MHU Sharif, R Datta, S Tokat, S Uyaver, ... IEEE Access 9, 56836-56854, 2021 | 38 | 2021 |
| A Hybrid Approach for the Sentiment Analysis of Turkish Twitter Data HA Shehu, S Tokat ICAIAME 2019: Artificial Intelligence and Applied Mathematics in Engineering …, 2020 | 26 | 2020 |
| An Adversarial Attacks Resistance-based Approach to Emotion Recognition from Images using Facial Landmarks HA Shehu, W Browne, H Eisenbarth 2020 29th IEEE International Conference on Robot and Human Interactive …, 2020 | 24 | 2020 |
| Sentiment analysis of Turkish Twitter data HA Shehu, S Tokat, MH Sharif, S Uyaver THIRD INTERNATIONAL CONFERENCE OF MATHEMATICAL SCIENCES (ICMS 2019) 2183 (1 …, 2019 | 23 | 2019 |
| Facial expression recognition using deep learning HA Shehu, MH Sharif, S Uyaver AIP Conference Proceedings 2334 (1), 2021 | 20 | 2021 |
| Distributed mutual exclusion algorithms for intersection traffic problems HA Shehu, MH Sharif, RA Ramadan IEEE Access 8, 138277-138296, 2020 | 19 | 2020 |
| Lateralized Approach for Robustness Against Attacks in Emotion Categorization from Images HA Shehu, A Siddique, W Browne, H Eisenbarth In: Applications of Evolutionary Computation. EvoApplications 2021. Lecture …, 2021 | 17 | 2021 |
| Emotion Categorization from Video-Frame Images Using a Novel Sequential Voting Technique HA Shehu, W Browne, H Eisenbarth International Symposium on Visual Computing, 618-632, 2020 | 17 | 2020 |
| Prediction of moment‐by‐moment heart rate and skin conductance changes in the context of varying emotional arousal HA Shehu, M Oxner, WN Browne, H Eisenbarth Psychophysiology 60 (9), e14303, 2023 | 12 | 2023 |
| An out-of-distribution attack resistance approach to emotion categorization HA Shehu, WN Browne, H Eisenbarth IEEE Transactions on Artificial Intelligence 2 (6), 564-573, 2021 | 12 | 2021 |
| Impact of datasets on the effectiveness of MobileNet for beans leaf disease detection E Elfatimi, R Eryiğit, HA Shehu Neural Computing and Applications 36 (4), 1773-1789, 2024 | 11 | 2024 |
| Artificial intelligence tools and their capabilities HA Shehu, A Rabie, MH Sharif PLOMS AI 1 (1), 2021 | 11 | 2021 |
| A comparison of humans and machine learning classifiers categorizing emotion from faces with different coverings HA Shehu, WN Browne, H Eisenbarth Applied Soft Computing 130, 109701, 2022 | 10* | 2022 |
| Particle swarm optimization for feature selection in emotion categorization HA Shehu, W Browne, H Eisenbarth 2021 IEEE congress on evolutionary computation (CEC), 752-759, 2021 | 9 | 2021 |
| Object Tracking from Laser Scanned Dataset MH Sharif, HA Shehu, F Galip, IF Ince, H Kusetogullari International Journal of Computer Science Engineering Techniques 3 (6), 19-27, 2019 | 8 | 2019 |
| An anti-attack method for emotion categorization from images HA Shehu, WN Browne, H Eisenbarth Applied Soft Computing 128, 109456, 2022 | 7 | 2022 |
| Attention-based methods for emotion categorization from partially covered faces HA Shehu, WN Browne, H Eisenbarth IEEE Transactions on Emerging Topics in Computational Intelligence 8 (1 …, 2024 | 6 | 2024 |
| Emotional arousal pattern (EMAP): A new database for modeling momentary subjective and psychophysiological responding to affective stimuli H Eisenbarth, M Oxner, HA Shehu, T Gastrell, A Walsh, WN Browne, ... Psychophysiology 61 (2), e14446, 2024 | 6 | 2024 |
| Emotion categorization from faces of people with sunglasses and facemasks HA Shehu, W Browne, H Eisenbarth | 5 | 2021 |
Hedwig EisenbarthAssociate Professor at Victoria University of WellingtonVahvistettu sähköpostiosoite verkkotunnuksessa vuw.ac.nz