Recognizing Involuntary Actions from 3D Skeleton Data Using Body States. - Mozhgan Mokari; Hoda Mohammadzade; Benyamin Ghojogh (CoRR, 2017)

A Fusion-based Gender Recognition Method Using Facial Images. - Benyamin Ghojogh; Saeed Bagheri Shouraki; Hoda Mohammadzade; Ensieh Iranmehr (CoRR, 2017)

Decision Assist for Self-driving Cars. - Sriram Ganapathi Subramanian; Jaspreet Singh Sambee; Benyamin Ghojogh; Mark Crowley 001 (Canadian AI, 2018)

Principal Sample Analysis for Data Reduction. - Benyamin Ghojogh; Mark Crowley 001 (ICBK, 2018)

Pixel-Level Alignment of Facial Images for High Accuracy Recognition Using Ensemble of Patches. - Hoda Mohammadzade; Amirhossein Sayyafan; Benyamin Ghojogh (CoRR, 2018)

Pontogammarus Maeoticus Swarm Optimization: A Metaheuristic Optimization Algorithm. - Benyamin Ghojogh; Saeed Sharifian (CoRR, 2018)

Tree-Based Optimization: A Meta-Algorithm for Metaheuristic Optimization. - Benyamin Ghojogh; Saeed Sharifian; Hoda Mohammadzade (CoRR, 2018)

Artificial Counselor System for Stock Investment. - Hadi NekoeiQachkanloo; Benyamin Ghojogh; Ali Saheb Pasand; Mark Crowley 001 (AAAI, 2019)

Instance Ranking and Numerosity Reduction Using Matrix Decomposition and Subspace Learning. - Benyamin Ghojogh; Mark Crowley 001 (Canadian AI, 2019)

Principal Sample Analysis for Data Ranking. - Benyamin Ghojogh (Canadian AI, 2019)

Image Structure Subspace Learning Using Structural Similarity Index. - Benyamin Ghojogh; Fakhri Karray; Mark Crowley 001 (ICIAR (1), 2019)

Principal Component Analysis Using Structural Similarity Index for Images. - Benyamin Ghojogh; Fakhri Karray; Mark Crowley 001 (ICIAR (1), 2019)

Locally Linear Image Structural Embedding for Image Structure Manifold Learning. - Benyamin Ghojogh; Fakhri Karray; Mark Crowley 001 (ICIAR (1), 2019)

Fitting A Mixture Distribution to Data: Tutorial. - Benyamin Ghojogh; Aydin Ghojogh; Mark Crowley 001; Fakhri Karray (CoRR, 2019)

Eigenvalue and Generalized Eigenvalue Problems: Tutorial. - Benyamin Ghojogh; Fakhri Karray; Mark Crowley 001 (CoRR, 2019)

Feature Selection and Feature Extraction in Pattern Analysis: A Literature Review. - Benyamin Ghojogh; Maria N. Samad; Sayema Asif Mashhadi; Tania Kapoor; Wahab Ali; Fakhri Karray; Mark Crowley 001 (CoRR, 2019)

The Theory Behind Overfitting, Cross Validation, Regularization, Bagging, and Boosting: Tutorial. - Benyamin Ghojogh; Mark Crowley 001 (CoRR, 2019)

Linear and Quadratic Discriminant Analysis: Tutorial. - Benyamin Ghojogh; Mark Crowley 001 (CoRR, 2019)

Unsupervised and Supervised Principal Component Analysis: Tutorial. - Benyamin Ghojogh; Mark Crowley 001 (CoRR, 2019)

Fisher and Kernel Fisher Discriminant Analysis: Tutorial. - Benyamin Ghojogh; Fakhri Karray; Mark Crowley 001 (CoRR, 2019)

Quantized Fisher Discriminant Analysis. - Benyamin Ghojogh; Ali Saheb Pasand; Fakhri Karray; Mark Crowley 001 (CoRR, 2019)

Roweis Discriminant Analysis: A Generalized Subspace Learning Method. - Benyamin Ghojogh; Fakhri Karray; Mark Crowley 001 (CoRR, 2019)

Anomaly Detection and Prototype Selection Using Polyhedron Curvature. - Benyamin Ghojogh; Fakhri Karray; Mark Crowley 001 (Canadian AI, 2020)

Distributed Nonlinear Model Predictive Control and Metric Learning for Heterogeneous Vehicle Platooning with Cut-in/Cut-out Maneuvers. - Mohammad Hossein Basiri; Benyamin Ghojogh; Nasser L. Azad; Sebastian Fischmeister; Fakhri Karray; Mark Crowley 001 (CDC, 2020)

Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study. - Milad Sikaroudi; Amir Safarpoor; Benyamin Ghojogh; Sobhan Shafiei; Mark Crowley 001; Hamid R. Tizhoosh (EMBC, 2020)

Generalized Subspace Learning by Roweis Discriminant Analysis. - Benyamin Ghojogh; Fakhri Karray; Mark Crowley 001 (ICIAR (1), 2020)

Backprojection for Training Feedforward Neural Networks in the Input and Feature Spaces. - Benyamin Ghojogh; Fakhri Karray; Mark Crowley 001 (ICIAR (2), 2020)

Theoretical Insights into the Use of Structural Similarity Index in Generative Models and Inferential Autoencoders. - Benyamin Ghojogh; Fakhri Karray; Mark Crowley 001 (ICIAR (2), 2020)

Weighted Fisher Discriminant Analysis in the Input and Feature Spaces. - Benyamin Ghojogh; Milad Sikaroudi; Hamid R. Tizhoosh; Fakhri Karray; Mark Crowley 001 (ICIAR (2), 2020)

Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem. - Milad Sikaroudi; Benyamin Ghojogh; Fakhri Karray; Mark Crowley 001; Hamid R. Tizhoosh (ICPR, 2020)

Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks. - Benyamin Ghojogh; Milad Sikaroudi; Sobhan Shafiei; Hamid R. Tizhoosh; Fakhri Karray; Mark Crowley 001 (IJCNN, 2020)

Offline Versus Online Triplet Mining Based on Extreme Distances of Histopathology Patches. - Milad Sikaroudi; Benyamin Ghojogh; Amir Safarpoor; Fakhri Karray; Mark Crowley 001; Hamid R. Tizhoosh (ISVC (1), 2020)

Isolation Mondrian Forest for Batch and Online Anomaly Detection. - Haoran Ma; Benyamin Ghojogh; Maria N. Samad; Dongyu Zheng; Mark Crowley 001 (SMC, 2020)

Quantile-Quantile Embedding for Distribution Transformation, Manifold Embedding, and Image Embedding with Choice of Embedding Distribution. - Benyamin Ghojogh; Fakhri Karray; Mark Crowley 001 (CoRR, 2020)

Roweisposes, Including Eigenposes, Supervised Eigenposes, and Fisherposes, for 3D Action Recognition. - Benyamin Ghojogh; Fakhri Karray; Mark Crowley 001 (CoRR, 2020)

Multidimensional Scaling, Sammon Mapping, and Isomap: Tutorial and Survey. - Benyamin Ghojogh; Ali Ghodsi 001; Fakhri Karray; Mark Crowley 001 (CoRR, 2020)

Stochastic Neighbor Embedding with Gaussian and Student-t Distributions: Tutorial and Survey. - Benyamin Ghojogh; Ali Ghodsi 001; Fakhri Karray; Mark Crowley 001 (CoRR, 2020)

Acceleration of Large Margin Metric Learning for Nearest Neighbor Classification Using Triplet Mining and Stratified Sampling. - Parisa Abdolrahim Poorheravi; Benyamin Ghojogh; Vincent C. Gaudet; Fakhri Karray; Mark Crowley 001 (CoRR, 2020)

Locally Linear Embedding and its Variants: Tutorial and Survey. - Benyamin Ghojogh; Ali Ghodsi 001; Fakhri Karray; Mark Crowley 001 (CoRR, 2020)

Distributed voting in beep model. - Benyamin Ghojogh; Saber Salehkaleybar (Signal Process., 2020)

Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds. - Reza Godaz; Benyamin Ghojogh; Reshad Hosseini; Reza Monsefi; Fakhri Karray; Mark Crowley 001 (ACML, 2021)

Magnification Generalization For Histopathology Image Embedding. - Milad Sikaroudi; Benyamin Ghojogh; Fakhri Karray; Mark Crowley 001; Hamid R. Tizhoosh (ISBI, 2021)

Factor Analysis, Probabilistic Principal Component Analysis, Variational Inference, and Variational Autoencoder: Tutorial and Survey. - Benyamin Ghojogh; Ali Ghodsi 001; Fakhri Karray; Mark Crowley 001 (CoRR, 2021)

Generative Locally Linear Embedding. - Benyamin Ghojogh; Ali Ghodsi 001; Fakhri Karray; Mark Crowley 001 (CoRR, 2021)

Laplacian-Based Dimensionality Reduction Including Spectral Clustering, Laplacian Eigenmap, Locality Preserving Projection, Graph Embedding, and Diffusion Map: Tutorial and Survey. - Benyamin Ghojogh; Ali Ghodsi 001; Fakhri Karray; Mark Crowley 001 (CoRR, 2021)

Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions, Nyström Method, and Use of Kernels in Machine Learning: Tutorial and Survey. - Benyamin Ghojogh; Ali Ghodsi 001; Fakhri Karray; Mark Crowley 001 (CoRR, 2021)

Unified Framework for Spectral Dimensionality Reduction, Maximum Variance Unfolding, and Kernel Learning By Semidefinite Programming: Tutorial and Survey. - Benyamin Ghojogh; Ali Ghodsi 001; Fakhri Karray; Mark Crowley 001 (CoRR, 2021)

Restricted Boltzmann Machine and Deep Belief Network: Tutorial and Survey. - Benyamin Ghojogh; Ali Ghodsi 001; Fakhri Karray; Mark Crowley 001 (CoRR, 2021)

Johnson-Lindenstrauss Lemma, Linear and Nonlinear Random Projections, Random Fourier Features, and Random Kitchen Sinks: Tutorial and Survey. - Benyamin Ghojogh; Ali Ghodsi 001; Fakhri Karray; Mark Crowley 001 (CoRR, 2021)

Uniform Manifold Approximation and Projection (UMAP) and its Variants: Tutorial and Survey. - Benyamin Ghojogh; Ali Ghodsi 001; Fakhri Karray; Mark Crowley 001 (CoRR, 2021)

KKT Conditions, First-Order and Second-Order Optimization, and Distributed Optimization: Tutorial and Survey. - Benyamin Ghojogh; Ali Ghodsi 001; Fakhri Karray; Mark Crowley 001 (CoRR, 2021)

Sufficient Dimension Reduction for High-Dimensional Regression and Low-Dimensional Embedding: Tutorial and Survey. - Benyamin Ghojogh; Ali Ghodsi 001; Fakhri Karray; Mark Crowley 001 (CoRR, 2021)

Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey. - Benyamin Ghojogh; Ali Ghodsi 001; Fakhri Karray; Mark Crowley 001 (CoRR, 2021)

Generative locally linear embedding: A module for manifold unfolding and visualization. - Benyamin Ghojogh; Ali Ghodsi 001; Fakhri Karray; Mark Crowley 001 (Softw. Impacts, 2021)

Data Reduction Algorithms in Machine Learning and Data Science. - Benyamin Ghojogh (2021)

Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA. - Benyamin Ghojogh; Ali Ghodsi 001; Fakhri Karray; Mark Crowley 001 (Canadian AI, 2022)

Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey. - Benyamin Ghojogh; Ali Ghodsi 001; Fakhri Karray; Mark Crowley 001 (CoRR, 2022)

On Manifold Hypothesis: Hypersurface Submanifold Embedding Using Osculating Hyperspheres. - Benyamin Ghojogh; Fakhri Karray; Mark Crowley 001 (CoRR, 2022)

Affective Manifolds: Modeling Machine's Mind to Like, Dislike, Enjoy, Suffer, Worry, Fear, and Feel Like A Human. - Benyamin Ghojogh (CoRR, 2022)

Gravitational Dimensionality Reduction Using Newtonian Gravity and Einstein's General Relativity. - Benyamin Ghojogh; Smriti Sharma (CoRR, 2022)

Elements of Dimensionality Reduction and Manifold Learning - Benyamin Ghojogh; Mark Crowley 001; Fakhri Karray; Ali Ghodsi 001 (Springer, 2023)

Recurrent Neural Networks and Long Short-Term Memory Networks: Tutorial and Survey. - Benyamin Ghojogh; Ali Ghodsi 001 (CoRR, 2023)

On Philomatics and Psychomatics for Combining Philosophy and Psychology with Mathematics. - Benyamin Ghojogh; Morteza Babaie (CoRR, 2023)

Probabilistic Classification by Density Estimation Using Gaussian Mixture Model and Masked Autoregressive Flow. - Benyamin Ghojogh; Milad Amir Toutounchian (CoRR, 2023)

An Optimal Cascade Feature-Level Spatiotemporal Fusion Strategy for Anomaly Detection in CAN Bus. - Mohammad Fatahi; Danial Sadrian Zadeh; Benyamin Ghojogh; Behzad Moshiri; Otman Basir (CoRR, 2025)

Self-Supervised Learning Using Nonlinear Dependence. - Mohammad Hadi Sepanj; Benyamin Ghojogh; Paul W. Fieguth (CoRR, 2025)