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Tim Oates

Time series classification from scratch with deep neural networks: A strong baseline
2017 · Zhiguang Wang, Weizhong Yan, et al. · 2,120
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Imaging Time-Series to Improve Classification and Imputation
2015 · Wang, Zhiguang, Oates, Tim · arXiv (Cornell University) · 470
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Encoding Time Series as Images for Visual Inspection and Classification Using Tiled Convolutional Neural Networks
2015 · Zhiguang Wang, Tim Oates · National Conference on Artificial Intelligence · 374
Efficient progressive sampling
1999 · Foster Provost, David Jensen, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 357
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Electroencephalogram epileptiform abnormalities in candidates for aircrew training
1993 · R.P. Gregory, T. Oates, et al. · Electroencephalography and Clinical Neurophysiology · 237
Could do better: using international comparisons to refine the National Curriculum in England
2011 · Tim Oates · The Curriculum Journal · 146
Modeling the Spread of Influence on the Blogosphere
2006 · Java, Akshay, Kolari, Pranam, et al. · Maryland Shared Open Access Repository (USMAI Consortium) · 139
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Detecting Spam Blogs: A Machine Learning Approach
2006 · Kolari, Pranam, Java, Akshay, et al. · Maryland Shared Open Access Repository (USMAI Consortium) · 122
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The Effects of Training Set Size on Decision Tree Complexity
1997 · Tim Oates, David Jensen · 119
Cooperative information-gathering: a distributed problem-solving approach
1997 · T. Oates, M.V. Nagendra Prasad, et al. · IEE Proceedings - Software Engineering · 103
SensorNet: A Scalable and Low-Power Deep Convolutional Neural Network for Multimodal Data Classification
2018 · Ali Jafari, Ashwinkumar Ganesan, et al. · IEEE Transactions on Circuits and Systems I Regular Papers · 98
A Flexible Multichannel EEG Feature Extractor and Classifier for Seizure Detection
2014 · Adam Page, Chris Sagedy, et al. · IEEE Transactions on Circuits & Systems II Express Briefs · 96
Identifying distinctive subsequences in multivariate time series by clustering
1999 · Tim Oates · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 95
A Review of Recent Research in Metareasoning and Metalearning
2007 · Michael L. Anderson, Tim Oates · 90
GrammarViz 2.0: A Tool for Grammar-Based Pattern Discovery in Time Series
2014 · Pavel Senin, Jessica Lin, et al. · Lecture notes in computer science · 88
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The framework for the national curriculum : a report by the expert panel for the national curriculum review
2011 · Mary James, Tim Oates, et al. · Digital Education Resource Archive (University College London) · 87
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Visualizing Variable-Length Time Series Motifs
2012 · Yuan Li, Jessica Lin, et al. · SIAM International Conference on Data Mining · 85
A Method for Clustering the Experiences of a Mobile Robot that Accords with Human Judgments
2000 · Tim Oates, Matthew D. Schmill, et al. · 75
Time series anomaly discovery with grammar-based compression
2015 · Senin, Pavel, Lin, Jessica, et al. · Movebank · 74
Searching for Structure in Multiple Streams of Data.
1996 · Tim Oates, Paul R. Cohen · 74
PERUSE: An unsupervised algorithm for finding recurring patterns in time series
2003 · T. Oates · Proceedings · 71
Large datasets lead to overly complex models: an explanation and a solution
1998 · Tim Oates, David Jensen · 68
Early Detection of Cybersecurity Threats Using Collaborative Cognition
2018 · Sandeep Nair Narayanan, Ashwinkumar Ganesan, et al. · IEEE International Conference on Collaboration and Internet Computing (CIC) · 67
Using Dynamic Time Warping to Bootstrap HMM-Based Clustering of Time Series
2000 · Tim Oates, Laura Firoiu, et al. · Lecture notes in computer science · 65
The metacognitive loop I: Enhancing reinforcement learning with metacognitive monitoring and control for improved perturbation tolerance
2006 · Michael L. Anderson, Tim Oates, et al. · Journal of Experimental & Theoretical Artificial Intelligence · 60
Works count: 308
Citation count: 7,465
H-index: 34
I10-index: 97
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