| Time series classification from scratch with deep neural networks: A strong baseline Z Wang, W Yan, T Oates 2017 International joint conference on neural networks (IJCNN), 1578-1585, 2017 | 1555 | 2017 |
| Imaging time-series to improve classification and imputation Z Wang, T Oates arXiv preprint arXiv:1506.00327, 2015 | 558 | 2015 |
| Efficient progressive sampling F Provost, D Jensen, T Oates Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999 | 514 | 1999 |
| Encoding time series as images for visual inspection and classification using tiled convolutional neural networks Z Wang, T Oates Workshops at the twenty-ninth AAAI conference on artificial intelligence 1, 2015 | 446 | 2015 |
| Clustering time series with hidden markov models and dynamic time warping T Oates, L Firoiu, PR Cohen Proceedings of the IJCAI-99 workshop on neural, symbolic and reinforcement …, 1999 | 272 | 1999 |
| The effects of training set size on decision tree complexity T Oates, D Jensen Sixth International Workshop on Artificial Intelligence and Statistics, 379-390, 1997 | 228 | 1997 |
| Detecting spam blogs: A machine learning approach P Kolari, A Java, T Finin, T Oates, A Joshi Proceedings of the national conference on artificial intelligence 21 (2), 1351, 2006 | 226 | 2006 |
| Modeling the spread of influence on the blogosphere A Java, P Kolari, T Finin, T Oates UMBC TR-CS-06-03, 2006 | 222 | 2006 |
| Cooperative information-gathering: a distributed problem-solving approach T Oates, MVN Prasad, VR Lesser IEE Proceedings-Software 144 (1), 72-88, 1997 | 174 | 1997 |
| Identifying distinctive subsequences in multivariate time series by clustering T Oates Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999 | 143 | 1999 |
| Searching for structure in multiple streams of data T Oates, PR Cohen ICML 96, 346-354, 1996 | 134 | 1996 |
| A method for clustering the experiences of a mobile robot that accords with human judgments T Oates, MD Schmill, PR Cohen AAAI/IAAI, 846-851, 2000 | 125 | 2000 |
| A review of recent research in metareasoning and metalearning ML Anderson, T Oates AI Magazine 28 (1), 12-12, 2007 | 111 | 2007 |
| A flexible multichannel EEG feature extractor and classifier for seizure detection A Page, C Sagedy, E Smith, N Attaran, T Oates, T Mohsenin IEEE Transactions on Circuits and Systems II: Express Briefs 62 (2), 109-113, 2014 | 110 | 2014 |
| Hierarchical bayesian models for latent attribute detection in social media D Rao, M Paul, C Fink, D Yarowsky, T Oates, G Coppersmith Proceedings of the international AAAI conference on web and social media 5 …, 2011 | 105 | 2011 |
| PERUSE: An unsupervised algorithm for finding recurring patterns in time series T Oates 2002 IEEE International Conference on Data Mining, 2002. Proceedings., 330-337, 2002 | 105 | 2002 |
| Large Datasets Lead to Overly Complex Models: An Explanation and a Solution. T Oates, DD Jensen KDD, 294-298, 1998 | 104 | 1998 |
| Deep belief networks used on high resolution multichannel electroencephalography data for seizure detection JT Turner, A Page, T Mohsenin, T Oates 2014 aaai spring symposium series, 2014 | 103 | 2014 |
| Using dynamic time warping to bootstrap HMM-based clustering of time series T Oates, L Firoiu, PR Cohen Sequence Learning: Paradigms, Algorithms, and Applications, 35-52, 2001 | 102 | 2001 |
| Time series anomaly discovery with grammar-based compression. P Senin, J Lin, X Wang, T Oates, S Gandhi, AP Boedihardjo, C Chen, ... Edbt, 481-492, 2015 | 101 | 2015 |
Paul R. CohenSchool of Computing and Information University of PittsburghVerified email at pitt.edu
