| Balancing gender bias in job advertisements with text-level bias mitigation S Hu, JA Al-Ani, KD Hughes, N Denier, A Konnikov, L Ding, J Xie, Y Hu, ... Frontiers in big Data 5, 805713, 2022 | 18 | 2022 |
| Towards ethnicity detection using learning based classifiers AS Mohammad, JA Al-Ani 2017 9th Computer Science and Electronic Engineering (CEEC), 219-224, 2017 | 16 | 2017 |
| Convolutional neural network for ethnicity classification using ocular region in mobile environment AS Mohammad, JA Al-Ani 2018 10th Computer Science and Electronic Engineering (CEEC), 293-298, 2018 | 15 | 2018 |
| Comprehensive evaluations of student performance estimation via machine learning AS Mohammad, MTS Al-Kaltakchi, J Alshehabi Al-Ani, JA Chambers Mathematics 11 (14), 3153, 2023 | 6 | 2023 |
| Probabilistic relational supervised topic modelling using word embeddings JA Al-Ani, M Fasli 2018 IEEE International Conference on Big Data (Big Data), 2035-2043, 2018 | 5 | 2018 |
| BIAS Word inventory for work and employment diversity,(in) equality and inclusivity (Version 1.0) A Konnikov, N Denier, Y Hu, KD Hughes, J Alshehabi Al-Ani, L Ding, ... SocArXiv, 2022 | 4 | 2022 |
| Gendered STEM Workforce in the United Kingdom: The Role of Gender Bias in Job Advertising Y Hu, M Tarafdar, J Alshehabi Al-Ani, I Rets, S Hu, N Denier, KD Hughes, ... HMSO, 2022 | 2 | 2022 |
| Internet of Things Based Face Recognition Using Mobilenetv2 and Facenet Deep Learning Implementations on Raspberry Pi-400 J Alshehabi Al-Ani, TG Jarullah, AS Mohammad, MTS Al-Kaltakchi Available at SSRN 4783044, 0 | 2 | |
| Responsible AI for labour market equality (BIAS) A Konnikov, I Rets, KD Hughes, JA Al-Ani, N Denier, L Ding, S Hu, Y Hu, ... How to Manage International Multidisciplinary Research Projects, 75-87, 2022 | 1 | 2022 |
| Language in job advertisements and the reproduction of labor force gender and racial segregation Y Hu, N Denier, L Ding, M Tarafdar, A Konnikov, KD Hughes, S Hu, ... PNAS Nexus, pgae526, 2024 | | 2024 |
| Pixelator v2: A Novel Perceptual Image Comparison Method with LAB Colour Space and Sobel Edge Detection for Enhanced Security Analysis S Dey, J Alshehabi Al-Ani, A Bourazeri, S Saha, R Purkait, S Hill, ... Electronics 13 (22), 4541, 2024 | | 2024 |
| IoT-MFaceNet: Internet-of-Things-Based Face Recognition Using MobileNetV2 and FaceNet Deep-Learning Implementations on a Raspberry Pi-400 AS Mohammad, TG Jarullah, MTS Al-Kaltakchi, J Alshehabi Al-Ani, S Dey Journal of Low Power Electronics and Applications 14 (3), 46, 2024 | | 2024 |
| Machine Learning for Prediction of Wind Power and Resources in Hot Climate Region AS Mohammad, JA Al-Ani, D Zaghar 2021 International Conference on Computing and Communications Applications …, 2021 | | 2021 |
| Probabilistic Named Entity Recognition for nonstandard format entities using cooccurrence word embeddings J Alshehabi Al-Ani, M Fasli Proceedings-2019 IEEE International Conference on Big Data, Big Data 2019, 2020 | | 2020 |
| Natural Language Processing methods for short informal text J Alshehabi Al-Ani University of Essex, 2020 | | 2020 |
| Probabilistic Named Entity Recognition for nonstandard format entities using cooccurrence word embeddings JA AlAni, M Fasli 2019 IEEE International Conference on Big Data (Big Data), 2077-2086, 2019 | | 2019 |
| Intelligent Face Recognition: Comprehensive Feature Extraction Methods for Holistic Face Analysis and Modalities J Alshehabi Al-Ani, TG Jarullah, MTS Al-Kaltakchi, AS Mohammad Available at SSRN 4822806, 0 | | |
| 2017 9th Computer Science and Electronic Engineering Conference (CEEC) S Zimmerman, U Kruschwitz, MA Khan, JS Khan, C Hao, T Yoshimura, ... | | |
| Communications Applications and Technologies (I3CAT) A Jameel, A Saeed, A Subhi, AH Ali, A Marouf, J Alshehabi | | |
| 2017 9th Computer Science and Electronic Engineering Conference (CEEC) A Nasser, A Saeed, TEDUL Based, C Arwa, BD Nichols, C Gonzalez, ... | | |
Ahmad Saeed MohammadAssistant Professor, Computer Eng Dept, Mustansiriyah University. | Ph.D. Electrical&Computer EngVerified email at uomustansiriyah.edu.iq