| Detection and removal of Salt and Pepper noise in images by improved median filter PP S. Deivalakshmi, S. Sarath Recent Advances in Intelligent Computational Systems (RAICS), 2011 | 47* | 2011 |
| Graph construction from data by non-negative kernel regression S Shekkizhar, A Ortega ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 32 | 2020 |
| Neighborhood and Graph Constructions using Non-Negative Kernel Regression S Shekkizhar, A Ortega arXiv preprint arXiv:1910.09383, 2019 | 15* | 2019 |
| Channel-wise early stopping without a validation set via NNK polytope interpolation D Bonet, A Ortega, J Ruiz-Hidalgo, S Shekkizhar 2021 Asia-Pacific Signal and Information Processing Association Annual …, 2021 | 14 | 2021 |
| Optimizing training sets used for setting up inspection-related algorithms M Plihal, E Soltanmohammadi, S Paramasivam, S Ravu, A Jain, ... US Patent 10,267,748, 2019 | 14 | 2019 |
| Efficient graph construction for image representation S Shekkizhar, A Ortega 2020 IEEE International Conference on Image Processing (ICIP), 1956-1960, 2020 | 12 | 2020 |
| Revisiting local neighborhood methods in machine learning S Shekkizhar, A Ortega 2021 IEEE Data Science and Learning Workshop (DSLW), 1-6, 2021 | 11 | 2021 |
| The geometry of self-supervised learning models and its impact on transfer learning R Cosentino, S Shekkizhar, M Soltanolkotabi, S Avestimehr, A Ortega arXiv preprint arXiv:2209.08622, 2022 | 8 | 2022 |
| Model selection and explainability in neural networks using a polytope interpolation framework S Shekkizhar, A Ortega 2021 55th Asilomar Conference on Signals, Systems, and Computers, 177-181, 2021 | 8 | 2021 |
| Channel redundancy and overlap in convolutional neural networks with channel-wise nnk graphs D Bonet, A Ortega, J Ruiz-Hidalgo, S Shekkizhar ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 7 | 2022 |
| DeepNNK: Explaining deep models and their generalization using polytope interpolation S Shekkizhar, A Ortega arXiv preprint arXiv:2007.10505, 2020 | 7 | 2020 |
| NNK-Means: Data summarization using dictionary learning with non-negative kernel regression S Shekkizhar, A Ortega 2022 30th European Signal Processing Conference (EUSIPCO), 2161-2165, 2022 | 3* | 2022 |
| Characterizing large language model geometry solves toxicity detection and generation R Balestriero, R Cosentino, S Shekkizhar arXiv preprint arXiv:2312.01648, 2023 | 2 | 2023 |
| Study of manifold geometry using multiscale non-negative kernel graphs C Hurtado, S Shekkizhar, J Ruiz-Hidalgo, A Ortega ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 2 | 2023 |
| Towards a geometric understanding of Spatio Temporal Graph Convolution Networks P Das, S Shekkizhar, A Ortega arXiv preprint arXiv:2312.07777, 2023 | | 2023 |
| Data Sampling using Locality Sensitive Hashing for Large Scale Graph Learning S Shekkizhar, N Bulut, M Farghal, S Tavakkol, MH Bateni, A Nandi | | 2023 |
| Graph-based Deep Learning Analysis and Instance Selection K Nonaka, S Shekkizhar, A Ortega 2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP …, 2020 | | 2020 |
| Geometry of learning: A data-driven understanding with neighborhood and graph methods S Shekkizhar | | |
Antonio OrtegaDean's Professor of Electrical and Computer Engineering, University of Southern CaliforniaGeverifieerd e-mailadres voor usc.edu
