| Bacteria-human somatic cell lateral gene transfer is enriched in cancer samples DR Riley, KB Sieber, KM Robinson, JR White, A Ganesan, S Nourbakhsh, ... PLoS computational biology 9 (6), e1003107, 2013 | 189 | 2013 |
| Sensornet: A scalable and low-power deep convolutional neural network for multimodal data classification A Jafari, A Ganesan, CSK Thalisetty, V Sivasubramanian, T Oates, ... IEEE Transactions on Circuits and Systems I: Regular Papers 66 (1), 274-287, 2018 | 96 | 2018 |
| Early detection of cybersecurity threats using collaborative cognition SN Narayanan, A Ganesan, K Joshi, T Oates, A Joshi, T Finin 2018 IEEE 4th international conference on collaboration and internet …, 2018 | 95 | 2018 |
| Identifying spatial relations in images using convolutional neural networks M Haldekar, A Ganesan, T Oates 2017 international joint conference on neural networks (ijcnn), 3593-3600, 2017 | 38 | 2017 |
| Fashioning with networks: Neural style transfer to design clothes A Ganesan, T Oates arXiv preprint arXiv:1707.09899, 2017 | 35 | 2017 |
| Ldaexplore: Visualizing topic models generated using latent dirichlet allocation A Ganesan, K Brantley, S Pan, J Chen arXiv preprint arXiv:1507.06593, 2015 | 32 | 2015 |
| Extending signature-based intrusion detection systems withbayesian abductive reasoning A Ganesan, P Parameshwarappa, A Peshave, Z Chen, T Oates arXiv preprint arXiv:1903.12101, 2019 | 26 | 2019 |
| Learning with holographic reduced representations A Ganesan, H Gao, S Gandhi, E Raff, T Oates, J Holt, M McLean Advances in neural information processing systems 34, 25606-25620, 2021 | 25 | 2021 |
| Guiding Safe Reinforcement Learning Policies Using Structured Language Constraints. B Prakash, NR Waytowich, A Ganesan, T Oates, T Mohsenin SafeAI@ AAAI, 153-161, 2020 | 25 | 2020 |
| Cognitive techniques for early detection of cybersecurity events S Narayanan, A Ganesan, K Joshi, T Oates, A Joshi, T Finin arXiv preprint arXiv:1808.00116, 2018 | 20 | 2018 |
| Learning a reversible embedding mapping using bi-directional manifold alignment A Ganesan, F Ferraro, T Oates arXiv preprint arXiv:2107.00124, 2021 | 10 | 2021 |
| L2-GEN: A Neural Phoneme Paraphrasing Approach to L2 Speech Synthesis for Mispronunciation Diagnosis DY Zhang, A Ganesan, S Campbell, D Korzekwa | 8 | 2022 |
| Improving visual reasoning with attention alignment K Sharan, A Ganesan, T Oates Advances in Visual Computing: 14th International Symposium on Visual …, 2019 | 4 | 2019 |
| Improving low resource speech translation with data augmentation and ensemble strategies AVK Shanbhogue, R Xue, S Saha, D Zhang, A Ganesan Proceedings of the 20th International Conference on Spoken Language …, 2023 | 3 | 2023 |
| Improving machine translation formality control with weakly-labelled data augmentation and post editing strategies D Zhang, J Yu, P Verma, A Ganesan, S Campbell Proceedings of the 19th International Conference on Spoken Language …, 2022 | 2 | 2022 |
| Predicting network threat events using HMM ensembles A Peshave, A Ganesan, T Oates International Conference on Advanced Data Mining and Applications, 229-240, 2022 | 2 | 2022 |
| Locality Preserving Loss: Neighbors that Live together, Align together A Ganesan, F Ferraro, T Oates arXiv preprint arXiv:2004.03734, 2020 | 2 | 2020 |
| Determining the Scale of Impact from Denial-of-Service Attacks in Real Time Using Twitter C Zhang, B Wilkinson, A Ganesan, T Oates arXiv preprint arXiv:1909.05890, 2019 | 2 | 2019 |
| Finding Representative Points in Multivariate Data Using PCA A Ganesan, T Oates, M Schmill arXiv preprint arXiv:1610.05819, 2016 | 1 | 2016 |
| Supervised Training Strategies for Low Resource Language Processing A Ganesan University of Maryland, Baltimore County, 2021 | | 2021 |
Tim OatesProfessor of Computer Science, University of Maryland Baltimore CountyVerified email at umbc.edu
