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Tim Oates
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Cited by
Year
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
29482017
Imaging time-series to improve classification and imputation
Z Wang, T Oates
arXiv preprint arXiv:1506.00327, 2015
13052015
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
9252015
Efficient progressive sampling
F Provost, D Jensen, T Oates
Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999
5671999
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
2921999
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
2401997
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
2332006
Modeling the spread of influence on the blogosphere
A Java, P Kolari, T Finin, T Oates
UMBC TR-CS-06-03, 2006
2282006
Cooperative information-gathering: a distributed problem-solving approach
T Oates, MV Nagendra Prasad, VR Lesser
IEE Proceedings-Software 144 (1), 72-88, 1997
1821997
Identifying distinctive subsequences in multivariate time series by clustering
T Oates
Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999
1471999
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
1382015
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
1362000
Searching for structure in multiple streams of data
T Oates, PR Cohen
ICML 96, 346-354, 1996
1331996
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
1272014
A review of recent research in metareasoning and metalearning
ML Anderson, T Oates
AI Magazine 28 (1), 12-12, 2007
1272007
Deep Belief Networks Used on High Resolution Multichannel Electroencephalography Data for Seizure Detection.
JT Turner, A Page, T Mohsenin, T Oates
AAAI Spring Symposia, 2014
1222014
Grammarviz 2.0: a tool for grammar-based pattern discovery in time series
P Senin, J Lin, X Wang, T Oates, S Gandhi, AP Boedihardjo, C Chen, ...
Joint European conference on machine learning and knowledge discovery in …, 2014
1212014
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
1152018
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
1152011
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
1122018
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