| The Theory Behind Overfitting, Cross Validation, Regularization, Bagging, and Boosting: Tutorial B Ghojogh, M Crowley arXiv preprint arXiv:1905.12787, 2019 | 302* | 2019 |
| Feature Selection and Feature Extraction in Pattern Analysis: A Literature Review B Ghojogh, MN Samad, SA Mashhadi, T Kapoor, W Ali, F Karray, ... arXiv preprint arXiv:1905.02845, 2019 | 161 | 2019 |
| Eigenvalue and Generalized Eigenvalue Problems: Tutorial B Ghojogh, F Karray, M Crowley arXiv preprint arXiv:1903.11240, 2019 | 147 | 2019 |
| Linear and Quadratic Discriminant Analysis: Tutorial B Ghojogh, M Crowley arXiv preprint arXiv:1906.02590, 2019 | 138 | 2019 |
| Attention Mechanism, Transformers, BERT, and GPT: Tutorial and Survey B Ghojogh, A Ghodsi OSF Preprints, 2020 | 81 | 2020 |
| Fisher and Kernel Fisher Discriminant Analysis: Tutorial B Ghojogh, F Karray, M Crowley arXiv preprint arXiv:1906.09436, 2019 | 52 | 2019 |
| Fisherposes for human action recognition using Kinect sensor data B Ghojogh, H Mohammadzade, M Mokari IEEE Sensors Journal 18 (4), 1612-1627, 2018 | 49 | 2018 |
| Multidimensional Scaling, Sammon Mapping, and Isomap B Ghojogh, M Crowley, F Karray, A Ghodsi Elements of Dimensionality Reduction and Manifold Learning, 185-205, 2023 | 48 | 2023 |
| Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions, Nystr\" om Method, and Use of Kernels in Machine Learning: Tutorial and Survey B Ghojogh, A Ghodsi, F Karray, M Crowley arXiv preprint arXiv:2106.08443, 2021 | 48 | 2021 |
| Elements of dimensionality reduction and manifold learning B Ghojogh, M Crowley, F Karray, A Ghodsi Springer, 2023 | 44 | 2023 |
| Factor Analysis, Probabilistic Principal Component Analysis, Variational Inference, and Variational Autoencoder: Tutorial and Survey B Ghojogh, A Ghodsi, F Karray, M Crowley arXiv preprint arXiv:2101.00734, 2021 | 43 | 2021 |
| Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks B Ghojogh, M Sikaroudi, S Shafiei, HR Tizhoosh, F Karray, M Crowley IEEE International Joint Conference on Neural Networks (IJCNN) 2020, 2020 | 41 | 2020 |
| Locally Linear Embedding and its Variants: Tutorial and Survey B Ghojogh, A Ghodsi, F Karray, M Crowley arXiv preprint arXiv:2011.10925, 2020 | 40 | 2020 |
| Fitting A Mixture Distribution to Data: Tutorial B Ghojogh, A Ghojogh, M Crowley, F Karray arXiv preprint arXiv:1901.06708, 2019 | 39 | 2019 |
| Unsupervised and Supervised Principal Component Analysis: Tutorial B Ghojogh, M Crowley arXiv preprint arXiv:1906.03148, 2019 | 37 | 2019 |
| KKT Conditions, First-Order and Second-Order Optimization, and Distributed Optimization: Tutorial and Survey B Ghojogh, A Ghodsi, F Karray, M Crowley arXiv preprint arXiv:2110.01858, 2021 | 36 | 2021 |
| Isolation Mondrian Forest for Batch and Online Anomaly Detection H Ma, B Ghojogh, MN Samad, D Zheng, M Crowley IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2020, 2020 | 36 | 2020 |
| Distributed Nonlinear Model Predictive Control and Metric Learning for Heterogeneous Vehicle Platooning with Cut-in/Cut-out Maneuvers MH Basiri, B Ghojogh, NL Azad, S Fischmeister, F Karray, M Crowley 59th IEEE Conference on Decision and Control (CDC) 2020, 2020 | 32 | 2020 |
| Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey B Ghojogh, A Ghodsi, F Karray, M Crowley arXiv preprint arXiv:2111.13282, 2021 | 30 | 2021 |
| Sampling Algorithms, from Survey Sampling to Monte Carlo Methods: Tutorial and Literature Review B Ghojogh, H Nekoei, A Ghojogh, F Karray, M Crowley arXiv preprint arXiv:2011.00901, 2020 | 28 | 2020 |
