| You shall know an object by the company it keeps: An investigation of semantic representations derived from object co-occurrence in visual scenes Z Sadeghi, JL McClelland, P Hoffman Neuropsychologia 76, 52-61, 2015 | 78 | 2015 |
| A review of Explainable Artificial Intelligence in healthcare Z Sadeghi, R Alizadehsani, MA CIFCI, S Kausar, R Rehman, P Mahanta, ... Computers and Electrical Engineering 118, 109370, 2024 | 48 | 2024 |
| A comparison of global sensitivity analysis methods for explainable AI with an application in genomic prediction B Van Stein, E Raponi, Z Sadeghi, N Bouman, RCHJ Van Ham, T Bäck IEEE Access 10, 103364-103381, 2022 | 41 | 2022 |
| A Brief Review of Explainable Artificial Intelligence in Healthcare Z Sadeghi, R Alizadehsani, MA Cifci, S Kausar, R Rehman, P Mahanta, ... arXiv preprint arXiv:2304.01543, 2023 | 22 | 2023 |
| Learning representation hierarchies by sharing visual features: a computational investigation of Persian character recognition with unsupervised deep learning Z Sadeghi, A Testolin Cognitive processing 18 (3), 273-284, 2017 | 19 | 2017 |
| Ant colony clustering by expert ants Z Sadeghi, M Teshnehlab 2008 11th International Conference on Computer and Information Technology …, 2008 | 12 | 2008 |
| A computational approach towards visual object recognition at taxonomic levels of concepts Z Sadeghi, B Nadjar Araabi, M Nili Ahmadabadi Computational intelligence and neuroscience 2015 (1), 905421, 2015 | 10 | 2015 |
| Deep Learning and Developmental Learning: Emergence of Fine-to-Coarse Conceptual Categories at Layers of Deep Belief Network Z Sadeghi Perception 45 (9), 1036-1045, 2016 | 8 | 2016 |
| K-ants clustering-a New strategy based on ant clustering Z Sadeghi, M Teshnehlab, MM Pedram Second York Doctoral Symposium on Computing, 45, 2008 | 8* | 2008 |
| A new sample-based strategy for narrow passage detection Z Sadeghi, H Moradi 2011 9th World Congress on Intelligent Control and Automation, 1059-1064, 2011 | 7 | 2011 |
| K-ants clustering-a New strategy based on ant clustering Z Sadeghi, M Teshnehlab, MM Pedram Scope of the Symposium, 45, 2008 | 6 | 2008 |
| A Modularized Framework for Explaining Black Box Classifiers for Text Data M Sarvmaili, R Guidotti, A Monreale, A Soares, Z Sadeghi, F Giannotti, ... | 5 | 2022 |
| Unsupervised categorization of objects into artificial and natural superordinate classes using features from low-level vision Z Sadeghi, MN Ahmadabadi, BN Araabi International Journal of Image processing (IJIP) 7 (4), 339, 2013 | 5 | 2013 |
| An Information Analysis Approach into Feature Understanding of Convolutional Deep Neural Networks Z Sadeghi Machine Learning, Optimization, and Data Science: 5th International …, 2019 | 4 | 2019 |
| Exploring autoregression patterns for automatic vessel type classification MD Ferreira*, Z Sadeghi*, S Matwin The Journal of Supercomputing, 1-22, 2023 | 3 | 2023 |
| A Critique of Pure Hierarchy: Uncovering Cross-Cutting Structure in a Natural Dataset JL McClelland, Z Sadeghi, AM Saxe Neurocomputational Models of Cognitive Development and Processing …, 2016 | 3 | 2016 |
| Children’s Line Drawings and Object Representation Strategies: Categorization of Children’s Mental Representation Strategies According to the Existing Theories for Object … Z Sadeghi International Journal of Signal Processing, Image Processing and Pattern …, 2015 | 3 | 2015 |
| Anomaly detection for maritime navigation based on probability density function of error of reconstruction Z Sadeghi, S Matwin Journal of Intelligent Systems 32 (1), 20220270, 2023 | 2 | 2023 |
| Evolutionary Augmentation Policy Optimization for Self-supervised Learning N Barrett*, Z Sadeghi*, S Matwin arXiv preprint arXiv:2303.01584, 2023 | 2 | 2023 |
| A Comparative Study of Machine Learning Algorithms on Datasets of Varying Sizes X Huang, X Xi, S Wang, Z Sadeghi, A Samir, S Matwin Proceedings of the Future Technologies Conference, 261-274, 2024 | 1 | 2024 |