Google
Google Scholar
Semantic Scholar
IA Scholar
CiteSeerX
ORCIDFakhri Karray
Fakhreddine Karray
Person information
- affiliation: University of Waterloo, Canada
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2021
[j82]Md. Milon Islam
, Fakhri Karray, Reda Alhajj, Jia Zeng:
A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19). IEEE Access 9: 30551-30572 (2021)- [j81]Mahmoud M. Nasr, Md. Milon Islam, Shady Shehata, Fakhri Karray, Yuri Quintana:
Smart Healthcare in the Age of AI: Recent Advances, Challenges, and Future Prospects. IEEE Access 9: 145248-145270 (2021) - [j80]Ghulam Muhammad, Fatima Alshehri, Fakhri Karray, Abdulmotaleb El-Saddik, Mansour Alsulaiman, Tiago H. Falk:
A comprehensive survey on multimodal medical signals fusion for smart healthcare systems. Inf. Fusion 76: 355-375 (2021) - [j79]Wanli Li, Jing Huang, Guoqi Xie, Fakhri Karray, Renfa Li:
A survey on vision-based driver distraction analysis. J. Syst. Archit. 121: 102319 (2021) - [j78]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Generative locally linear embedding: A module for manifold unfolding and visualization. Softw. Impacts 9: 100105 (2021) - [c191]Mohita Chaudhary, Mohamed Sadok Gastli, Lobna Nassar, Fakhri Karray:
Deep Learning Approaches for Forecasting Strawberry Yields and Prices Using Satellite Images and Station-Based Soil Parameters. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2021 - [c190]Reza Godaz, Benyamin Ghojogh, Reshad Hosseini, Reza Monsefi, Fakhri Karray, Mark Crowley:
Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds. ACML 2021: 1-16 - [c189]Mohita Chaudhary, Mohamed Sadok Gastli, Lobna Nassar, Fakhri Karray:
Transfer Learning Application for Berries Yield Forecasting using Deep Learning. IJCNN 2021: 1-8 - [c188]Mohamed Sadok Gastli, Lobna Nassar, Fakhri Karray:
Satellite Images and Deep Learning Tools for Crop Yield Prediction and Price Forecasting. IJCNN 2021: 1-8 - [c187]Muhammad Saad, Mohita Chaudhary, Lobna Nassar, Fakhri Karray, Vincent C. Gaudet:
Versatile Deep Learning Based Application for Time Series Imputation. IJCNN 2021: 1-8 - [c186]Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh:
Magnification Generalization For Histopathology Image Embedding. ISBI 2021: 1864-1868 - [c185]Mohita Chaudhary, Lobna Nassar, Fakhri Karray:
Deep Learning Approach for Forecasting Apple Yield using Soil Parameters. SMC 2021: 844-850 - [c184]Alaa El Khatib, Mahmoud M. Nasr, Fakhri Karray:
Accounting for the Effect of Inter-Task Similarity in Continual Learning Models. SMC 2021: 1241-1247 - [c183]Mohamed Sadok Gastli, Lobna Nassar, Fakhri Karray:
Deep Learning Models for Strawberry Yield and Price Forecasting Using Satellite Images. SMC 2021: 1790-1796 - [c182]Ambareesh Ravi, Fakhri Karray:
AutoEncoder regularization using Support Vector Data Description for Anomaly Detection. SMC 2021: 1842-1848 - [c181]Fatemeh Jafari, Lobna Nassar, Fakhri Karray:
Time Series Similarity Analysis Framework in Fresh Produce Yield Forecast Domain. SMC 2021: 2368-2374 - [c180]Mohita Chaudhary, Muhammad Saad, Lobna Nassar, Fakhri Karray:
Evaluation of Imputation Models Based on the Enhancement to Yield Forecasting. SMC 2021: 3416-3422 - [i45]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Factor Analysis, Probabilistic Principal Component Analysis, Variational Inference, and Variational Autoencoder: Tutorial and Survey. CoRR abs/2101.00734 (2021) - [i44]Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh:
Magnification Generalization for Histopathology Image Embedding. CoRR abs/2101.07757 (2021) - [i43]Yingxu Wang, Fakhri Karray, Sam Kwong, Konstantinos N. Plataniotis, Henry Leung, Ming Hou, Edward W. Tunstel, Imre J. Rudas, Ljiljana Trajkovic, Okyay Kaynak, Janusz Kacprzyk, Mengchu Zhou, Michael H. Smith, Philip Chen, Shushma Patel:
On the Philosophical, Cognitive and Mathematical Foundations of Symbiotic Autonomous Systems (SAS). CoRR abs/2102.07617 (2021) - [i42]Mohita Chaudhary, Mohamed Sadok Gastli, Lobna Nassar, Fakhri Karray:
Deep Learning Approaches for Forecasting Strawberry Yields and Prices Using Satellite Images and Station-Based Soil Parameters. CoRR abs/2102.09024 (2021) - [i41]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Generative Locally Linear Embedding. CoRR abs/2104.01525 (2021) - [i40]Moloud Abdar, Soorena Salari, Sina Qahremani, Hak-Keung Lam, Fakhri Karray, Sadiq Hussain, Abbas Khosravi, U. Rajendra Acharya, Saeid Nahavandi:
UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection. CoRR abs/2105.08590 (2021) - [i39]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Laplacian-Based Dimensionality Reduction Including Spectral Clustering, Laplacian Eigenmap, Locality Preserving Projection, Graph Embedding, and Diffusion Map: Tutorial and Survey. CoRR abs/2106.02154 (2021) - [i38]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions, Nyström Method, and Use of Kernels in Machine Learning: Tutorial and Survey. CoRR abs/2106.08443 (2021) - [i37]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Unified Framework for Spectral Dimensionality Reduction, Maximum Variance Unfolding, and Kernel Learning By Semidefinite Programming: Tutorial and Survey. CoRR abs/2106.15379 (2021) - [i36]Mahmoud M. Nasr, Md. Milon Islam, Shady Shehata, Fakhri Karray, Yuri Quintana:
Smart Healthcare in the Age of AI: Recent Advances, Challenges, and Future Prospects. CoRR abs/2107.03924 (2021) - [i35]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Restricted Boltzmann Machine and Deep Belief Network: Tutorial and Survey. CoRR abs/2107.12521 (2021) - [i34]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Johnson-Lindenstrauss Lemma, Linear and Nonlinear Random Projections, Random Fourier Features, and Random Kitchen Sinks: Tutorial and Survey. CoRR abs/2108.04172 (2021) - [i33]Reza Godaz, Benyamin Ghojogh, Reshad Hosseini, Reza Monsefi, Fakhri Karray, Mark Crowley:
Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds. CoRR abs/2108.11019 (2021) - [i32]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Uniform Manifold Approximation and Projection (UMAP) and its Variants: Tutorial and Survey. CoRR abs/2109.02508 (2021) - [i31]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
KKT Conditions, First-Order and Second-Order Optimization, and Distributed Optimization: Tutorial and Survey. CoRR abs/2110.01858 (2021) - [i30]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Sufficient Dimension Reduction for High-Dimensional Regression and Low-Dimensional Embedding: Tutorial and Survey. CoRR abs/2110.09620 (2021) - [i29]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey. CoRR abs/2111.13282 (2021) - 2020
- [j77]Alaa El Khatib, Chaojie Ou, Fakhri Karray:
Driver Inattention Detection in the Context of Next-Generation Autonomous Vehicles Design: A Survey. IEEE Trans. Intell. Transp. Syst. 21(11): 4483-4496 (2020) - [j76]Chaojie Ou, Fakhri Karray:
Enhancing Driver Distraction Recognition Using Generative Adversarial Networks. IEEE Trans. Intell. Veh. 5(3): 385-396 (2020) - [j75]Chaojie Ou, Fakhri Karray:
Deep Learning-Based Driving Maneuver Prediction System. IEEE Trans. Veh. Technol. 69(2): 1328-1340 (2020) - [c179]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Anomaly Detection and Prototype Selection Using Polyhedron Curvature. Canadian Conference on AI 2020: 238-250 - [c178]Mohammad Hossein Basiri, Benyamin Ghojogh, Nasser L. Azad, Sebastian Fischmeister, Fakhri Karray, Mark Crowley:
Distributed Nonlinear Model Predictive Control and Metric Learning for Heterogeneous Vehicle Platooning with Cut-in/Cut-out Maneuvers. CDC 2020: 2849-2856 - [c177]Benyamin Ghojogh, Milad Sikaroudi, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley:
Weighted Fisher Discriminant Analysis in the Input and Feature Spaces. ICIAR (2) 2020: 3-15 - [c176]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Backprojection for Training Feedforward Neural Networks in the Input and Feature Spaces. ICIAR (2) 2020: 16-24 - [c175]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Theoretical Insights into the Use of Structural Similarity Index in Generative Models and Inferential Autoencoders. ICIAR (2) 2020: 112-117 - [c174]Qiang Zhao, Fakhri Karray:
Anomaly Detection for Images Using Auto-encoder Based Sparse Representation. ICIAR (2) 2020: 144-153 - [c173]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Generalized Subspace Learning by Roweis Discriminant Analysis. ICIAR (1) 2020: 328-342 - [c172]Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh:
Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem. ICPR 2020: 7080-7086 - [c171]Benyamin Ghojogh, Milad Sikaroudi, Sobhan Shafiei, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley:
Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks. IJCNN 2020: 1-7 - [c170]Lobna Nassar, Ifeanyi Emmanuel Okwuchi, Muhammad Saad, Fakhri Karray, Kumaraswamy Ponnambalam:
Deep Learning Based Approach for Fresh Produce Market Price Prediction. IJCNN 2020: 1-7 - [c169]Lobna Nassar, Ifeanyi Emmanuel Okwuchi, Muhammad Saad, Fakhri Karray, Kumaraswamy Ponnambalam, Prarabdha Agrawal:
Prediction of Strawberry Yield and Farm Price Utilizing Deep Learning. IJCNN 2020: 1-7 - [c168]Milad Sikaroudi, Benyamin Ghojogh, Amir Safarpoor, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh:
Offline Versus Online Triplet Mining Based on Extreme Distances of Histopathology Patches. ISVC (1) 2020: 333-345 - [c167]Muhammad Saad, Mohita Chaudhary, Fakhri Karray, Vincent C. Gaudet:
Machine Learning Based Approaches for Imputation in Time Series Data and their Impact on Forecasting. SMC 2020: 2621-2627 - [c166]Ifeanyi Emmanuel Okwuchi, Lobna Nassar, Fakhri Karray, Kumaraswamy Ponnambalam:
Deep Learning Ensemble Based Model for Time Series Forecasting Across Multiple Applications. SMC 2020: 3077-3083 - [c165]Muhammad Saad, Lobna Nassar, Fakhri Karray, Vincent C. Gaudet:
Tackling Imputation Across Time Series Models Using Deep Learning and Ensemble Learning. SMC 2020: 3084-3090 - [c164]Fatemeh Jafari, Seyed Jamshid Mousavi, Kumaraswamy Ponnambalam, Fakhri Karray, Lobna Nassar:
Machine Learning Tools for the Prediction of Fresh Produce Procurement Price. SMC 2020: 3091-3095 - [c163]Yingxu Wang, Svetlana N. Yanushkevich, Ming Hou, Konstantinos N. Plataniotis, Mark Coates, Marina L. Gavrilova, Yaoping Hu, Fakhri Karray, Henry Leung, Arash Mohammadi, Sam Kwong, Edward W. Tunstel, Ljiljana Trajkovic, Imre J. Rudas, Janusz Kacprzyk:
A Tripartite Theory of Trustworthiness for Autonomous Systems. SMC 2020: 3375-3380 - [c162]Fatemeh Jafari, Kumaraswamy Ponnambalam, Seyed Jamshid Mousavi, Fakhri Karray:
Yield forecast of California strawberry: Time-series Models vs. ML Tools. SMC 2020: 3594-3598 - [c161]Lobna Nassar, Muhammad Saad, Ifeanyi Emmanuel Okwuchi, Mohita Chaudhary, Fakhri Karray, Kumaraswamy Ponnambalam:
Imputation Impact on Strawberry Yield and Farm Price Prediction Using Deep Learning. SMC 2020: 3599-3605 - [c160]F. Fathallahi, Kumaraswamy Ponnambalam, Y. Huang, Fakhri Karray:
Agent-Based Modeling to Simulate Real-World Prices: A Strawberry Market Study. SMC 2020: 3606-3611 - [c159]Mahmoud M. Nasr, Fakhri Karray, Yuri Quintana:
Human Machine Interaction Platform for Home Care Support System. SMC 2020: 4210-4215 - [e11]Aurélio Campilho, Fakhri Karray, Zhou Wang:
Image Analysis and Recognition - 17th International Conference, ICIAR 2020, Póvoa de Varzim, Portugal, June 24-26, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12131, Springer 2020, ISBN 978-3-030-50346-8 [contents] - [e10]Aurélio Campilho, Fakhri Karray, Zhou Wang:
Image Analysis and Recognition - 17th International Conference, ICIAR 2020, Póvoa de Varzim, Portugal, June 24-26, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12132, Springer 2020, ISBN 978-3-030-50515-8 [contents] - [i28]Mohammad Hossein Basiri, Benyamin Ghojogh, Nasser L. Azad, Sebastian Fischmeister, Fakhri Karray, Mark Crowley:
Distributed Nonlinear Model Predictive Control and Metric Learning for Heterogeneous Vehicle Platooning with Cut-in/Cut-out Maneuvers. CoRR abs/2004.00417 (2020) - [i27]Benyamin Ghojogh, Milad Sikaroudi, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley:
Weighted Fisher Discriminant Analysis in the Input and Feature Spaces. CoRR abs/2004.01857 (2020) - [i26]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Theoretical Insights into the Use of Structural Similarity Index In Generative Models and Inferential Autoencoders. CoRR abs/2004.01864 (2020) - [i25]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Anomaly Detection and Prototype Selection Using Polyhedron Curvature. CoRR abs/2004.02137 (2020) - [i24]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Backprojection for Training Feedforward Neural Networks in the Input and Feature Spaces. CoRR abs/2004.04573 (2020) - [i23]Benyamin Ghojogh, Milad Sikaroudi, Sobhan Shafiei, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley:
Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks. CoRR abs/2004.04674 (2020) - [i22]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Quantile-Quantile Embedding for Distribution Transformation, Manifold Embedding, and Image Embedding with Choice of Embedding Distribution. CoRR abs/2006.11385 (2020) - [i21]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Roweisposes, Including Eigenposes, Supervised Eigenposes, and Fisherposes, for 3D Action Recognition. CoRR abs/2006.15736 (2020) - [i20]Milad Sikaroudi, Benyamin Ghojogh, Amir Safarpoor, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh:
Offline versus Online Triplet Mining based on Extreme Distances of Histopathology Patches. CoRR abs/2007.02200 (2020) - [i19]Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh:
Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem. CoRR abs/2007.05610 (2020) - [i18]Md. Milon Islam, Fakhri Karray, Reda Alhajj, Jia Zeng:
A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19). CoRR abs/2008.04815 (2020) - [i17]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Multidimensional Scaling, Sammon Mapping, and Isomap: Tutorial and Survey. CoRR abs/2009.08136 (2020) - [i16]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Stochastic Neighbor Embedding with Gaussian and Student-t Distributions: Tutorial and Survey. CoRR abs/2009.10301 (2020) - [i15]Parisa Abdolrahim Poorheravi, Benyamin Ghojogh, Vincent C. Gaudet, Fakhri Karray, Mark Crowley:
Acceleration of Large Margin Metric Learning for Nearest Neighbor Classification Using Triplet Mining and Stratified Sampling. CoRR abs/2009.14244 (2020) - [i14]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Locally Linear Embedding and its Variants: Tutorial and Survey. CoRR abs/2011.10925 (2020)
2010 – 2019
- 2019
- [j74]Lobna Nassar, Fakhri Karray:
Overview of the crowdsourcing process. Knowl. Inf. Syst. 60(1): 1-24 (2019) - [c158]Yingxu Wang, Konstantinos N. Plataniotis, Sam Kwong, Henry Leung, Svetlana N. Yanushkevich, Fakhri Karray, Ming Hou, Newton Howard, Rodolfo A. Fiorini, Paolo Soda, Edward W. Tunstel, Jianmin Wang, Shushma Patel:
On Autonomous Systems: From Reflexive, Imperative and Adaptive Intelligence to Autonomous and Cognitive Intelligence. ICCI*CC 2019: 7-12 - [c157]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Image Structure Subspace Learning Using Structural Similarity Index. ICIAR (1) 2019: 33-44 - [c156]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Principal Component Analysis Using Structural Similarity Index for Images. ICIAR (1) 2019: 77-88 - [c155]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Locally Linear Image Structural Embedding for Image Structure Manifold Learning. ICIAR (1) 2019: 126-138 - [c154]Ramzi Abdelmoula, Alaa M. Khamis, Fakhri Karray:
A Deep Learning-Based Noise-Resilient Keyword Spotting Engine for Embedded Platforms. ICIAR (2) 2019: 134-146 - [c153]Chaojie Ou, Qiang Zhao, Fakhri Karray, Alaa El Khatib:
Design of an End-to-End Dual Mode Driver Distraction Detection System. ICIAR (2) 2019: 199-207 - [c152]Hassene Ben Amara, Fakhri Karray:
An End-to-End Deep Learning Based Gesture Recognizer for Vehicle Self Parking System. ICIAR (2) 2019: 404-416 - [c151]Alaa El Khatib, Fakhri Karray:
Strategies for Improving Single-Head Continual Learning Performance. ICIAR (1) 2019: 452-460 - [c150]Alaa El Khatib, Fakhri Karray:
Preempting Catastrophic Forgetting in Continual Learning Models by Anticipatory Regularization. IJCNN 2019: 1-7 - [e9]Fakhri Karray, Aurélio Campilho, Alfred C. H. Yu:
Image Analysis and Recognition - 16th International Conference, ICIAR 2019, Waterloo, ON, Canada, August 27-29, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11662, Springer 2019, ISBN 978-3-030-27201-2 [contents] - [e8]Fakhri Karray, Aurélio Campilho, Alfred C. H. Yu:
Image Analysis and Recognition - 16th International Conference, ICIAR 2019, Waterloo, ON, Canada, August 27-29, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11663, Springer 2019, ISBN 978-3-030-27271-5 [contents] - [i13]Benyamin Ghojogh, Aydin Ghojogh, Mark Crowley, Fakhri Karray:
Fitting A Mixture Distribution to Data: Tutorial. CoRR abs/1901.06708 (2019) - [i12]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Eigenvalue and Generalized Eigenvalue Problems: Tutorial. CoRR abs/1903.11240 (2019) - [i11]Benyamin Ghojogh, Maria N. Samad, Sayema Asif Mashhadi, Tania Kapoor, Wahab Ali, Fakhri Karray, Mark Crowley:
Feature Selection and Feature Extraction in Pattern Analysis: A Literature Review. CoRR abs/1905.02845 (2019) - [i10]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Fisher and Kernel Fisher Discriminant Analysis: Tutorial. CoRR abs/1906.09436 (2019) - [i9]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Principal Component Analysis Using Structural Similarity Index for Images. CoRR abs/1908.09287 (2019) - [i8]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Locally Linear Image Structural Embedding for Image Structure Manifold Learning. CoRR abs/1908.09288 (2019) - [i7]Benyamin Ghojogh, Ali Saheb Pasand, Fakhri Karray, Mark Crowley:
Quantized Fisher Discriminant Analysis. CoRR abs/1909.03037 (2019) - [i6]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Roweis Discriminant Analysis: A Generalized Subspace Learning Method. CoRR abs/1910.05437 (2019) - 2018
- [j73]Rania Ibrahim, Ahmed Elbagoury, Mohamed S. Kamel, Fakhri Karray:
Tools and approaches for topic detection from Twitter streams: survey. Knowl. Inf. Syst. 54(3): 511-539 (2018) - [j72]Elham Akhavan-Rezai, Mostafa F. Shaaban, Ehab F. El-Saadany, Fakhri Karray:
New EMS to Incorporate Smart Parking Lots Into Demand Response. IEEE Trans. Smart Grid 9(2): 1376-1386 (2018) - [c149]Chaouki Aouiti, El Abed Assali, Fakhreddine Karray:
Finite Time Synchronization For Delayed Fuzzy Inertial Cellular Neural Networks. FUZZ-IEEE 2018: 1-8 - [c148]Chaouki Aouiti, Farah Dridi, Fakhri Karray:
New Results on Neutral Type Fuzzy Based Cellular Neural Networks. FUZZ-IEEE 2018: 1-8 - [c147]Chaojie Ou, Chahid Ouali, Safaa M. Bedawi, Fakhri Karray:
Driver Behavior Monitoring Using Tools of Deep Learning and Fuzzy Inferencing. FUZZ-IEEE 2018: 1-7 - [c146]Chaojie Ou, Chahid Ouali, Fakhri Karray:
Transfer Learning Based Strategy for Improving Driver Distraction Recognition. ICIAR 2018: 443-452 - [c145]Alaa El Khatib, Shimeng Huang, Ali Ghodsi, Fakhri Karray:
Nonnegative Matrix Factorization Using Autoencoders And Exponentiated Gradient Descent. IJCNN 2018: 1-8 - [c144]Arief Koesdwiady, Alaa El Khatib, Fakhri Karray:
Methods to Improve Multi-Step Time Series Prediction. IJCNN 2018: 1-8 - [c143]Arief Koesdwiady, Safaa M. Bedawi, Chaojie Ou, Fakhri Karray:
Non-Stationary Traffic Flow Prediction Using Deep Learning. VTC Fall 2018: 1-5 - [c142]Chaojie Ou, Safaa Mahmoud Bedawi, Arief B. Koesdwiady, Fakhri Karray:
Predicting Steering Actions for Self-Driving Cars Through Deep Learning. VTC Fall 2018: 1-5 - [e7]Aurélio Campilho, Fakhri Karray, Bart M. ter Haar Romeny:
Image Analysis and Recognition - 15th International Conference, ICIAR 2018, Póvoa de Varzim, Portugal, June 27-29, 2018, Proceedings. Lecture Notes in Computer Science 10882, Springer 2018, ISBN 978-3-319-92999-6 [contents] - [r3]Mostafa M. Hassan, Fakhri Karray, Mohamed S. Kamel:
Automatic Document Topic Identification Using Social Knowledge Network. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [r2]Rania Ibrahim, Ahmed Elbagoury, Khaled Ammar, Mohamed S. Kamel, Fakhri Karray:
Real-Time Detection of Topics in Twitter Streams. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i5]Arief Koesdwiady, Fakhri Karray:
SAFE: Spectral Evolution Analysis Feature Extraction for Non-Stationary Time Series Prediction. CoRR abs/1803.01364 (2018) - [i4]Arief Koesdwiady, Fakhri Karray:
Improving Multi-Step Traffic Flow Prediction. CoRR abs/1803.01365 (2018) - 2017
- [j71]Elham Akhavan-Rezai, Mostafa F. Shaaban, Ehab F. El-Saadany, Fakhri Karray:
Managing Demand for Plug-in Electric Vehicles in Unbalanced LV Systems With Photovoltaics. IEEE Trans. Ind. Informatics 13(3): 1057-1067 (2017) - [j70]Haibo He, Robert Haas, Jun Fu, Barbara Hammer, Daniel W. C. Ho, Fakhri Karray, Dhireesha Kudithipudi, José Antonio Lozano, Teresa Bernarda Ludermir, Jacek Mandziuk, Stefano Melacci, Antonio Paiva, Hong Qiao, Alain Rakotomamonjy, Shiliang Sun, Johan A. K. Suykens, Meng Wang:
Editorial: A Successful Year and Looking Forward to 2017 and Beyond. IEEE Trans. Neural Networks Learn. Syst. 28(1): 2-7 (2017) - [j69]Arief Koesdwiady, Ridha Soua, Fakhreddine Karray, Mohamed S. Kamel:
Recent Trends in Driver Safety Monitoring Systems: State of the Art and Challenges. IEEE Trans. Veh. Technol. 66(6): 4550-4563 (2017) - [c141]Arief Koesdwiady, Safaa M. Bedawi, Chaojie Ou, Fakhri Karray:
End-to-End Deep Learning for Driver Distraction Recognition. ICIAR 2017: 11-18 - [c140]Mahmoud A. Abdulgalil, Mahmoud M. Nasr, Mohamed H. Elalfy, Alaa M. Khamis, Fakhri Karray:
Multi-robot SLAM: An Overview and Quantitative Evaluation of MRGS ROS Framework for MR-SLAM. RiTA 2017: 165-183 - [c139]Chahid Ouali, Mahmoud M. Nasr, Mahmoud A. M. AbdelGalil, Fakhri Karray:
Voice Controlled Multi-robot System for Collaborative Task Achievement. RiTA 2017: 345-360 - [e6]Fakhri Karray, Aurélio Campilho, Farida Cheriet:
Image Analysis and Recognition - 14th International Conference, ICIAR 2017, Montreal, QC, Canada, July 5-7, 2017, Proceedings. Lecture Notes in Computer Science 10317, Springer 2017, ISBN 978-3-319-59875-8 [contents] - [e5]Jong-Hwan Kim, Fakhri Karray, Jun Jo, Peter Sincak, Hyun Myung:
Robot Intelligence Technology and Applications 4 - Results from the 4th International Conference on Robot Intelligence Technology and Applications, RiTA 2015, Bucheon, Korea, December 14-16, 2015. Advances in Intelligent Systems and Computing 447, Springer 2017, ISBN 978-3-319-31291-0 [contents] - 2016
- [j68]Keyvan Golestan, Ridha Soua, Fakhri Karray, Mohamed S. Kamel:
Situation awareness within the context of connected cars: A comprehensive review and recent trends. Inf. Fusion 29: 68-83 (2016) - [j67]Farook Sattar, Fakhri Karray, Mohamed Kamel, Lobna Nassar, Keyvan Golestan:
Recent Advances on Context-Awareness and Data/Information Fusion in ITS. Int. J. Intell. Transp. Syst. Res. 14(1): 1-19 (2016) - [j66]Lobna Nassar, Mohamed S. Kamel, Fakhri Karray:
VANET IR-CAS for Safety ACN: Information Retrieval Context Aware System for VANET Automatic Crash Notification Safety Application. Int. J. Intell. Transp. Syst. Res. 14(3): 127-138 (2016) - [j65]Céline Craye, Abdullah M. Rashwan, Mohamed S. Kamel, Fakhri Karray:
A Multi-Modal Driver Fatigue and Distraction Assessment System. Int. J. Intell. Transp. Syst. Res. 14(3): 173-194 (2016) - [j64]Elham Akhavan-Rezai, Mostafa F. Shaaban, Ehab F. El-Saadany, Fakhri Karray:
Online Intelligent Demand Management of Plug-In Electric Vehicles in Future Smart Parking Lots. IEEE Syst. J. 10(2): 483-494 (2016)