Tim Oates

Sarah Finney, Natalia Gardiol, Leslie Pack Kaelbling, Tim Oates: The Thing That We Tried Didn't Work Very Well : Deictic Representation in Reinforcement Learning. CoRR abs/1301.0567 (2013)

Patricia Ordóñez, Tim Oates, Michael Lombardi, Genaro Hernández, Kathryn W. Holmes, Jim Fackler, Christoph U. Lehmann: Visualization of multivariate time-series data in a neonatal ICU. IBM Journal of Research and Development 56(5): 7 (2012)

Jeffrey Heinz, Colin de la Higuera, Tim Oates: Preface. Journal of Machine Learning Research - Proceedings Track 21: 1-3 (2012)

Rémi Eyraud, Jean-Christophe Janodet, Tim Oates: Learning Substitutable Binary Plane Graph Grammars. Journal of Machine Learning Research - Proceedings Track 21: 114-128 (2012)

Niyati Chhaya, Tim Oates: Joint inference of soft biometric features. ICB 2012: 466-471

Preeti Bhargava, Michael T. Cox, Tim Oates, Uran Oh, Matthew Paisner, Donald Perlis, Jared Shamwell: The robot baby and massive metacognition: Future vision. ICDL-EPIROB 2012: 1-2

Jared Shamwell, Tim Oates, Preeti Bhargava, Michael T. Cox, Uran Oh, Matthew Paisner, Donald Perlis: The robot baby and massive metacognition: Early steps via growing neural gas. ICDL-EPIROB 2012: 1-2

Tim Oates, Colin F. Mackenzie, Lynn G. Stansbury, Bizhan Aarabi, Deborah M. Stein, Peter Fu-Ming Hu: Predicting Patient Outcomes from a Few Hours of High Resolution Vital Signs Data. ICMLA (2) 2012: 192-197

Tim Oates, Colin F. Mackenzie, Deborah M. Stein, Lynn G. Stansbury, Joseph Dubose, Bizhan Aarabi, Peter Fu-Ming Hu: Exploiting Representational Diversity for Time Series Classification. ICMLA (2) 2012: 538-544

Niels Kasch, Tim Oates: Commonsense Knowledge in Weblogs: Mining Script-Like Structures from the Web. Industrial Conference on Data Mining - Poster and Industry Proceedings 2012: 1-15

Niels Kasch, Tim Oates: Commonsense Knowledge in Weblogs: Mining Script-Like Structures from the Web. Industrial Conference on Data Mining - Workshops 2012: 31-45

Xianshu Zhu, Tim Oates: Finding story chains in newswire articles. IRI 2012: 93-100

Yuan Li, Jessica Lin, Tim Oates: Visualizing Variable-Length Time Series Motifs. SDM 2012: 895-906

Jeffrey Heinz, Colin de la Higuera, Tim Oates (Eds.): Proceedings of the Eleventh International Conference on Grammatical Inference, ICGI 2012, University of Maryland, College Park, USA, September 5-8, 2012. JMLR.org 2012

Tom Armstrong, Tim Oates: An Architecture for Bootstrapping Lexical Semantics and Grammatical Structures. Web Intelligence/IAT Workshops 2011: 155-158

Patricia Ordóñez, Tom Armstrong, Tim Oates, Jim Fackler: Using Modified Multivariate Bag-of-Words Models to Classify Physiological Data. ICDM Workshops 2011: 534-539

Patricia Ordóñez, Tom Armstrong, Tim Oates, Jim Fackler: Classification of Patients Using Novel Multivariate Time Series Representations of Physiological Data. ICMLA (2) 2011: 172-179

Soumi Ray, Tim Oates: Improving the Discovery and Characterization of Hidden Variables by Regularizing the LO-net. ICMLA (1) 2011: 442-447

Matthew D. Schmill, Tim Oates: Managing Uncertainty in Text-to-Sketch Tracking Problems. ICTAI 2011: 430-437

Kavita Krishnaswamy, Jennifer Sleeman, Tim Oates: Real-time path planning for a robotic arm. PETRA 2011: 11

Niyati Chhaya, Tim Oates: Robust Face Detection in Patient Triage Images. VISAPP 2011: 326-333

Darsana P. Josyula, Bette J. Donahue, Matthew McCaslin, Michelle Snowden, Michael L. Anderson, Tim Oates, Matthew D. Schmill, Donald Perlis: Metacognition for Detecting and Resolving Conflicts in Operational Policies. Metacognition for Robust Social Systems 2010

Mark Dredze, Tim Oates, Christine D. Piatko: We're Not in Kansas Anymore: Detecting Domain Changes in Streams. EMNLP 2010: 585-595

Joshua Jones, Tim Oates: Learning Deterministic Finite Automata from Interleaved Strings. ICGI 2010: 80-93

Soumi Ray, Tim Oates: Discovering and Characterizing Hidden Variables in Streaming Multivariate Time Series. ICMLA 2010: 913-916

Namita Sapre, Mohamed Younis, Tim Oates: Energy efficient node engagement strategies for achieving data fidelity in wireless sensor networks. LCN 2010: 723-729

Sourav Mukherjee, Tim Oates: Inferring Probability Distributions of Graph Size and Node Degree from Stochastic Graph Grammars. SDM 2010: 490-501

Jie Bao, Uldis Bojars, Tanzeem Choudhury, Li Ding, Mark Greaves, Ashish Kapoor, Sandy Louchart, Manish Mehta, Bernhard Nebel, Sergei Nirenburg, Tim Oates, David L. Roberts, Antonio Sanfilippo, Nenad Stojanovic, Kristen Stubbs, Andrea Lockerd Thomaz, Katherine M. Tsui, Stefan Wölfl: Reports of the AAAI 2009 Spring Symposia. AI Magazine 30(3): 89-95 (2009)

Sergei Nirenburg, Tim Oates: Organizing Committee. AAAI Spring Symposium: Learning by Reading and Learning to Read 2009

Sergei Nirenburg, Tim Oates: Preface. AAAI Spring Symposium: Learning by Reading and Learning to Read 2009

Deepak Chinavle, Pranam Kolari, Tim Oates, Tim Finin: Ensembles in adversarial classification for spam. CIKM 2009: 2015-2018

Fusun Yaman, Tim Oates, Mark H. Burstein: A Context Driven Approach for Workflow Mining. IJCAI 2009: 1798-1803

Colin de la Higuera, Tim Oates, Menno van Zaanen: Introduction: Special Issue on Applications of Grammatical Inference. Applied Artificial Intelligence 22(1&2): 1-3 (2008)

Jerry Ball, Chris Arney, Samuel G. Collins, Mitchell Marcus, Sergei Nirenburg, Antonio Chella, Kai Goebel, Jason H. Li, Margaret Lyell, Brian Magerko, Riccardo Manzotti, Clayton T. Morrison, Tim Oates, Mark Riedl, Goran Trajkovski, Walt Truszkowski, N. Serdar Uckun: AAAI Fall Symposium Reports. AI Magazine 29(1): 99-104 (2008)

Michael L. Anderson, Scott Fults, Darsana P. Josyula, Tim Oates, Donald Perlis, Shomir Wilson, Dean Wright: A Self-Help Guide For Autonomous Systems. AI Magazine 29(2): 67-73 (2008)

Tim Oates: A Too-Clever Ranking Method. AI Magazine 29(2): 74-76 (2008)

Tom Armstrong, Tim Oates: Lexical and Grammatical Inference. AAAI 2008: 1772-1773

Marc Pickett, Don Miner, Tim Oates: Essential Phenomena of General Intelligence. AGI 2008: 268-274

Tom Armstrong, Tim Oates: Learning in the Lexical-Grammatical Interface. FLAIRS Conference 2008: 23-28

Tom Armstrong, Tim Oates: Which Came First, the Grammar or the Lexicon?. ICGI 2008: 283-285

Sourav Mukherjee, Tim Oates: Estimating Graph Parameters Using Graph Grammars. ICGI 2008: 292-294

Michael L. Anderson, Tim Oates: A Review of Recent Research in Metareasoning and Metalearning. AI Magazine 28(1): 12-16 (2007)

Beenish Bhatia, Tim Oates, Yan Xiao, Peter Fu-Ming Hu: Real-Time Identification of Operating Room State from Video. AAAI 2007: 1761-1766

Tom Armstrong, Tim Oates: UNDERTOW: Multi-Level Segmentation of Real-Valued Time Series. AAAI 2007: 1842-1843

Marc Pickett, Tim Oates: The Marchitecture: A Cognitive Architecture for a Robot Baby. AAAI 2007: 1896-1897

Michael L. Anderson, Matthew D. Schmill, Tim Oates, Donald Perlis, Darsana P. Josyula, Dean Wright, Shomir Wilson: Toward Domain-Neutral Human-Level Metacognition. AAAI Spring Symposium: Logical Formalizations of Commonsense Reasoning 2007: 1-6

Akshay Java, Pranam Kolari, Tim Finin, Anupam Joshi, Tim Oates: Feeds That Matter: A Study of Bloglines Subscriptions. ICWSM 2007

Aarti Gupta, Tim Oates: Using Ontologies and the Web to Learn Lexical Semantics. IJCAI 2007: 1618-1623

Sergei Nirenburg, Tim Oates, Jesse English: Learning by Reading by Learning to Read. ICSC 2007: 694-701

Tim Oates, Waiyian Chong: Marcus Hutter, Universal Artificial Intelligence, Springer (2004). Artif. Intell. 170(18): 1222-1226 (2006)

Michael L. Anderson, Tim Oates, Waiyian Chong, Donald Perlis: The metacognitive loop I: Enhancing reinforcement learning with metacognitive monitoring and control for improved perturbation tolerance||. J. Exp. Theor. Artif. Intell. 18(3): 387-411 (2006)

Pranam Kolari, Akshay Java, Tim Finin, Tim Oates, Anupam Joshi: Detecting Spam Blogs: A Machine Learning Approach. AAAI 2006: 1351-1356

Tim Oates, Tom Armstrong, Leonor Becerra-Bonache, Mike Atamas: Inferring Grammars for Mildly Context Sensitive Languages in Polynomial-Time. ICGI 2006: 137-147

Joe Catalano, Tom Armstrong, Tim Oates: Discovering Patterns in Real-Valued Time Series. PKDD 2006: 462-469

Tim Oates: R. Siegwart and I. Nourbakhsh, Introduction to Autonomous Mobile Robots, MIT Press (2004). Artif. Intell. 169(2): 146-149 (2005)

Michael L. Anderson, Thomas Barkowsky, Pauline Berry, Douglas S. Blank, Timothy Chklovski, Pedro Domingos, Marek J. Druzdzel, Christian Freksa, John Gersh, Mary Hegarty, Tze-Yun Leong, Henry Lieberman, Ric K. Lowe, Susann Luperfoy, Rada Mihalcea, Lisa Meeden, David P. Miller, Tim Oates, Robert L. Popp, Daniel G. Shapiro, Nathan Schurr, Push Singh, John Yen: Reports on the 2005 AAAI Spring Symposium Series. AI Magazine 26(2): 87-92 (2005)

Thomas Briggs, Tim Oates: Discovering Domain-Specific Composite Kernels. AAAI 2005: 732-738

William Krueger, Tim Oates, Tom Armstrong, Paul R. Cohen, Carole R. Beal: Transfer in Learning by Doing. IJCAI 2005: 1618-1619

Marc Pickett, Tim Oates: The Cruncher: Automatic Concept Formation Using Minimum Description Length. SARA 2005: 282-289

Mike Anderson, Tim Oates (Eds.): 2005 AAAI Spring Symposium on Metacognition in Computation, March 21-23 2005, Stanford, California, USA. AAAI Technical Report SS-05-04, AAAI Press 2005, isbn 1-57735-230-0

Lola Cañamero, Zachary Dodds, Lloyd Greenwald, James P. Gunderson, Ayanna M. Howard, Eva Hudlicka, Cheryl E. Martin, Lynn Parker, Tim Oates, Terry R. Payne, Yan Qu, Craig Schlenoff, James G. Shanahan, Sheila Tejada, Jerry B. Weinberg, Janyce Wiebe: The 2004 AAAI Spring Symposium Series. AI Magazine 25(4): 95-100 (2004)

Vinay Bhat, Tim Oates, Vishal Shanbhag, Charles K. Nicholas: Finding aliases on the web using latent semantic analysis. Data Knowl. Eng. 49(2): 129-143 (2004)

Tim Oates, Tom Armstrong, Justin Harris, Mark Nejman: On the Relationship between Lexical Semantics and Syntax for the Inference of Context-Free Grammars. AAAI 2004: 431-436

Vivek Tawde, Tim Oates, Eric J. Glover: Generating Web Graphs with Embedded Communities. WAW 2004: 80-91

William Krueger, Jonathan Nilsson, Tim Oates, Timothy W. Finin: Automatically Generated DAML Markup for Semistructured Documents. AMKM 2003: 276-287

Tim Oates, Tom Armstrong, Justin Harris, Mark Nejman: Leveraging Lexical Semantics to Infer Context-Free Grammars. ECML Workshop on Learning Contex-Free Grammars 2003: 65-76

Tim Oates, Shailesh Doshi, Fang Huang: Estimating Maximum Likelihood Parameters for Stochastic Context-Free Graph Grammars. ILP 2003: 281-298

Paul R. Cohen, Tim Oates, Carole R. Beal, Niall M. Adams: Contentful Mental States for Robot Baby. AAAI/IAAI 2002: 126-131

Tim Oates: PERUSE: An Unsupervised Algorithm for Finding Recurrig Patterns in Time Series. ICDM 2002: 330-337

Tim Oates, Brent Heeringa: Estimating Grammar Parameters Using Bounded Memory. ICGI 2002: 185-198

Tim Oates, Devina Desai, Vinay Bhat: Learning k-Reversible Context-Free Grammars from Positive Structural Examples. ICML 2002: 459-465

Sarah Finney, Peter P. Wakker, Leslie Pack Kaelbling, Tim Oates: The Thing that we Tried Didn't Work very Well: Deictic Representation in Reinforcement Learning. UAI 2002: 154-161

Tim Oates, Vinay Bhat, Vishal Shanbhag: Using latent semantic analysis to find different names for the same entity in free text. WIDM 2002: 31-35

Gary King, Tim Oates: The Importance of Being Discrete: Learning Classes of Actions and Outcomes through Interaction. Canadian Conference on AI 2001: 236-245

Paul R. Cohen, Tim Oates, Niall M. Adams, Carole R. Beal: Robot Baby 2001. ALT 2001: 32-56

Paul R. Cohen, Tim Oates, Niall M. Adams, Carole R. Beal: Robot Baby 2001. Discovery Science 2001: 29

Tim Oates, Laura Firoiu, Paul R. Cohen: Using Dynamic Time Warping to Bootstrap HMM-Based Clustering of Time Series. Sequence Learning 2001: 35-52

Tim Oates, Matthew D. Schmill, Paul R. Cohen: A Method for Clustering the Experiences of a Mobile Robot that Accords with Human Judgments. AAAI/IAAI 2000: 846-851

Tim Oates, Matthew D. Schmill, Paul R. Cohen: Identifying qualitatively different outcomes of actions: gaining autonomy through learning. Agents 2000: 110-111

Tim Oates, Zachary Eyler-Walker, Paul R. Cohen: Toward natural language interfaces for robotic agents: grounding linguistic meaning in sensors. Agents 2000: 227-228

Matthew D. Schmill, Tim Oates, Paul R. Cohen: Learning Planning Operators in Real-World, Partially Observable Environments. AIPS 2000: 246-253

Tim Oates, David Jensen: Toward a Theoretical Understanding of Why and When Decision Tree Pruning Algorithms Fail. AAAI/IAAI 1999: 372-378

Tim Oates, Matthew D. Schmill, Paul R. Cohen: Efficient Mining of Statistical Dependencies. IJCAI 1999: 794-799

Foster J. Provost, David Jensen, Tim Oates: Efficient Progressive Sampling. KDD 1999: 23-32

Tim Oates: Identifying Distinctive Subsequences in Multivariate Time Series by Clustering. KDD 1999: 322-326

Laura Firoiu, Tim Oates, Paul R. Cohen: Learning Deterministic Finite Automaton with a Recurrent Neural Network. ICGI 1998: 90-101

Tim Oates, David Jensen: Large Datasets Lead to Overly Complex Models: An Explanation and a Solution. KDD 1998: 294-298

Tim Oates, M. V. Nagendra Prasad, Victor R. Lesser: Cooperative information-gathering: a distributed problem-solving approach. IEE Proceedings - Software 144(1): 72-88 (1997)

Paul R. Cohen, Marc S. Atkin, Tim Oates, Carole R. Beal: Neo: Learning Conceptual Knowledge by Sensorimotor Interaction with an Environment. Agents 1997: 170-177

Tim Oates, Matthew D. Schmill, Paul R. Cohen: Parallel and Distributed Search for Structure in Multivariate Time Series. ECML 1997: 191-198

Tim Oates, David Jensen: The Effects of Training Set Size on Decision Tree Complexity. ICML 1997: 254-262

David Jensen, Tim Oates, Paul R. Cohen: Building Simple Models: A Case Study with Decision Trees. IDA 1997: 211-222

Tim Oates, Paul R. Cohen: Searching for Planning Operators with Context-Dependent and Probabilistic Effects. AAAI/IAAI, Vol. 1 1996: 863-868

Tim Oates, Paul R. Cohen: Searching for Structure in Multiple Streams of Data. ICML 1996: 346-354

Tim Oates, Paul R. Cohen: Toward a Plan Steering Agent: Experiments with Schedule Maintenance. AIPS 1994: 134-139