Tim Oates

According to our database, Tim Oates authored at least 201 papers between 1994 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware Detection.

Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates, James Holt

CoRR, 2024

Advancing Security in AI Systems: A Novel Approach to Detecting Backdoors in Deep Neural Networks.

Khondoker Murad Hossain, Tim Oates

CoRR, 2024

TEN-GUARD: Tensor Decomposition for Backdoor Attack Detection in Deep Neural Networks.

Khondoker Murad Hossain, Tim Oates

CoRR, 2024

2023

Towards Generalization in Subitizing with Neuro-Symbolic Loss using Holographic Reduced Representations.

Mohammad Mahmudul Alam, Edward Raff, Tim Oates

CoRR, 2023

DDxT: Deep Generative Transformer Models for Differential Diagnosis.

Mohammad Mahmudul Alam, Edward Raff, Tim Oates, Cynthia Matuszek

CoRR, 2023

LLM Augmented Hierarchical Agents.

Bharat Prakash, Tim Oates, Tinoosh Mohsenin

CoRR, 2023

RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget.

Sourajit Saha, Shaswati Saha, Md. Osman Gani, Tim Oates, David Chapman

CoRR, 2023

cuSLINK: Single-Linkage Agglomerative Clustering on the GPU.

Corey J. Nolet, Divye Gala, Alexandre Fender, Mahesh Doijade, Joe Eaton, Edward Raff, John Zedlewski, Brad Rees, Tim Oates

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Recasting Self-Attention with Holographic Reduced Representations.

Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates, James Holt

Proceedings of the International Conference on Machine Learning, 2023

Towards a Correct-by-Construction Design of Integrated Modular Avionics.

Baoluo Meng, Joyanta Debnath, Sarat Chandra Varanasi, Emmanuel Manoloios, Michael Durling, Saswata Paul, Daniel Prince, Saif Alsabbagh, Richard Haadsma, Craig McMillan, Chi Zhang, Tim Oates

Proceedings of the Formal Methods in Computer-Aided Design, 2023

RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget (Student Abstract).

Sourajit Saha, Shaswati Saha, Md. Osman Gani, Tim Oates, David Chapman

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Backdoor Attack Detection in Computer Vision by Applying Matrix Factorization on the Weights of Deep Networks.

Khondoker Murad Hossain, Tim Oates

Proceedings of the Workshop on Artificial Intelligence Safety 2023 (SafeAI 2023) co-located with the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), 2023

2022

E2HRL: An Energy-efficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning.

Aidin Shiri, Utteja Kallakuri, Hasib-Al Rashid, Bharat Prakash, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin

ACM Trans. Design Autom. Electr. Syst., 2022

Towards an Interpretable Hierarchical Agent Framework using Semantic Goals.

Bharat Prakash, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin

CoRR, 2022

GPU Semiring Primitives for Sparse Neighborhood Methods.

Corey J. Nolet, Divye Gala, Edward Raff, Joe Eaton, Brad Rees, Tim Oates

Proceedings of Machine Learning and Systems 2022, 2022

Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations.

Mohammad Mahmudul Alam, Edward Raff, Tim Oates, James Holt

Proceedings of the International Conference on Machine Learning, 2022

Lempel-Ziv Networks.

Rebecca Saul, Mohammad Mahmudul Alam, John Hurwitz, Edward Raff, Tim Oates, James Holt

Proceedings of the Proceedings on "I Can't Believe It's Not Better!, 2022

2021

Automatic Goal Generation using Dynamical Distance Learning.

Bharat Prakash, Nicholas R. Waytowich, Tinoosh Mohsenin, Tim Oates

CoRR, 2021

Interactive Hierarchical Guidance using Language.

Bharat Prakash, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin

CoRR, 2021

Semiring Primitives for Sparse Neighborhood Methods on the GPU.

Corey J. Nolet, Divye Gala, Edward Raff, Joe Eaton, Brad Rees, John Zedlewski, Tim Oates

CoRR, 2021

Learning with Holographic Reduced Representations.

Ashwinkumar Ganesan, Hang Gao, Sunil Gandhi, Edward Raff, Tim Oates, James Holt, Mark McLean

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Determining Standard Occupational Classification Codes from Job Descriptions in Immigration Petitions.

Sourav Mukherjee, David Widmark, Vince DiMascio, Tim Oates

Proceedings of the 2021 International Conference on Data Mining, 2021

Predicting Physiological Effects of Chemical Substances Using Natural Language Processing.

Sourav Mukherjee, J. J. Ben-Joseph, Marcelo Campos, Prashan Malla, Hieu Nguyen, Anh Pham, Tim Oates, Vasudevan Janarthanan

Proceedings of the 34th IEEE Canadian Conference on Electrical and Computer Engineering, 2021

An Energy-Efficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning.

Aidin Shiri, Bharat Prakash, Arnab Neelim Mazumder, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

Predicting Network Threat Events Using HMM Ensembles.

Akshay Peshave, Ashwinkumar Ganesan, Tim Oates

Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021

Learning a Reversible Embedding Mapping using Bi-Directional Manifold Alignment.

Ashwinkumar Ganesan, Francis Ferraro, Tim Oates

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Bringing UMAP Closer to the Speed of Light with GPU Acceleration.

Corey J. Nolet, Victor Lafargue, Edward Raff, Thejaswi Nanditale, Tim Oates, John Zedlewski, Joshua Patterson

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Locality Preserving Loss to Align Vector Spaces.

Ashwinkumar Ganesan, Frank Ferraro, Tim Oates

CoRR, 2020

Immigration Document Classification and Automated Response Generation.

Sourav Mukherjee, Tim Oates, Vince DiMascio, Huguens Jean, Rob Ares, David Widmark, Jaclyn Harder

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

Guiding Safe Reinforcement Learning Policies Using Structured Language Constraints.

Bharat Prakash, Nicholas R. Waytowich, Ashwinkumar Ganesan, Tim Oates, Tinoosh Mohsenin

Proceedings of the Workshop on Artificial Intelligence Safety, 2020

2019

SensorNet: A Scalable and Low-Power Deep Convolutional Neural Network for Multimodal Data Classification.

Ali Jafari, Ashwinkumar Ganesan, Chetan Sai Kumar Thalisetty, Varun Sivasubramanian, Tim Oates, Tinoosh Mohsenin

IEEE Trans. Circuits Syst. I Regul. Pap., 2019

Using Neural Networks for Programming by Demonstration.

Karan K. Budhraja, Hang Gao, Tim Oates

CoRR, 2019

Universal Adversarial Perturbation for Text Classification.

Hang Gao, Tim Oates

CoRR, 2019

Learning from Observations Using a Single Video Demonstration and Human Feedback.

Sunil Gandhi, Tim Oates, Tinoosh Mohsenin, Nicholas R. Waytowich

CoRR, 2019

Determining the Scale of Impact from Denial-of-Service Attacks in Real Time Using Twitter.

Chi Zhang, Bryan Wilkinson, Ashwinkumar Ganesan, Tim Oates

CoRR, 2019

Graph Node Embeddings using Domain-Aware Biased Random Walks.

Sourav Mukherjee, Tim Oates, Ryan Wright

CoRR, 2019

Hybrid Mortality Prediction using Multiple Source Systems.

Isaac Mativo, Yelena Yesha, Michael A. Grasso, Tim Oates, Qian Zhu

CoRR, 2019

Extending Signature-based Intrusion Detection Systems WithBayesian Abductive Reasoning.

Ashwinkumar Ganesan, Pooja Parameshwarappa, Akshay Peshave, Zhiyuan Chen, Tim Oates

CoRR, 2019

Improving Visual Reasoning with Attention Alignment.

Komal Sharan, Ashwinkumar Ganesan, Tim Oates

Proceedings of the Advances in Visual Computing, 2019

Inferring Robot Morphology from Observation of Unscripted Movement.

Neil Bell, Brian Seipp, Tim Oates, Cynthia Matuszek

Proceedings of the International Conference on Robotics and Automation, 2019

NOD-CC: A Hybrid CBR-CNN Architecture for Novel Object Discovery.

J. T. Turner, Michael W. Floyd, Kalyan Moy Gupta, Tim Oates

Proceedings of the Case-Based Reasoning Research and Development, 2019

On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning.

Bharat Prakash, Mark Horton, Nicholas R. Waytowich, William David Hairston, Tim Oates, Tinoosh Mohsenin

Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019

Learning Behaviors from a Single Video Demonstration Using Human Feedback.

Sunil Gandhi, Tim Oates, Tinoosh Mohsenin, Nicholas R. Waytowich

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

GrammarViz 3.0: Interactive Discovery of Variable-Length Time Series Patterns.

Pavel Senin, Jessica Lin, Xing Wang, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein

ACM Trans. Knowl. Discov. Data, 2018

Cognitive Techniques for Early Detection of Cybersecurity Events.

Sandeep Nair Narayanan, Ashwinkumar Ganesan, Karuna P. Joshi, Tim Oates, Anupam Joshi, Tim Finin

CoRR, 2018

Large Scale Taxonomy Classification using BiLSTM with Self-Attention.

Hang Gao, Tim Oates

Proceedings of the SIGIR 2018 Workshop On eCommerce co-located with the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), 2018

Optimizing Transitions between Abstract ABM Demonstrations.

Brian Seipp, Karan Kumar Budhraja, Tim Oates

Proceedings of the 12th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2018

Implementing Feedback for Programming by Demonstration.

Karan Kumar Budhraja, Tim Oates

Proceedings of the 12th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2018

Improved Reverse Mapping for Controlling Swarms by Visual Demonstration.

Karan Kumar Budhraja, Tim Oates

Proceedings of the 2018 IEEE 3rd International Workshops on Foundations and Applications of Self* Systems (FAS*W), 2018

On Finer Control of Information Flow in LSTMs.

Hang Gao, Tim Oates

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Denoising Time Series Data Using Asymmetric Generative Adversarial Networks.

Sunil Gandhi, Tim Oates, Tinoosh Mohsenin, W. David Hairston

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Early Detection of Cybersecurity Threats Using Collaborative Cognition.

Sandeep Nair Narayanan, Ashwinkumar Ganesan, Karuna P. Joshi, Tim Oates, Anupam Joshi, Tim Finin

Proceedings of the 4th IEEE International Conference on Collaboration and Internet Computing, 2018

2017

Feature Construction for Controlling Swarms by Visual Demonstration.

Karan K. Budhraja, John Winder, Tim Oates

ACM Trans. Auton. Adapt. Syst., 2017

Automated Cloud Provisioning on AWS using Deep Reinforcement Learning.

Zhiguang Wang, Chul Gwon, Tim Oates, Adam Iezzi

CoRR, 2017

Fashioning with Networks: Neural Style Transfer to Design Clothes.

Prutha Date, Ashwinkumar Ganesan, Tim Oates

CoRR, 2017

STAVIS 2.0: Mining Spatial Trajectories via Motifs.

Crystal Chen, Arnold P. Boedihardjo, Brian S. Jenkins, Charlotte L. Ellison, Jessica Lin, Pavel Senin, Tim Oates

Proceedings of the Advances in Spatial and Temporal Databases, 2017

Survey Data Analysis for Repositioning, Transferring, and Personal Care Robots.

Kavita Krishnaswamy, Srinivas Moorthy, Tim Oates

Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments, 2017

An EEG artifact identification embedded system using ICA and multi-instance learning.

Ali Jafari, Sunil Gandhi, Sri Harsha Konuru, W. David Hairston, Tim Oates, Tinoosh Mohsenin

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Time series classification from scratch with deep neural networks: A strong baseline.

Zhiguang Wang, Weizhong Yan, Tim Oates

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Visual entity linking.

Neha Tilak, Sunil Gandhi, Tim Oates

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Connecting deep neural networks with symbolic knowledge.

Arjun Kumar, Tim Oates

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Identifying spatial relations in images using convolutional neural networks.

Mandar Haldekar, Ashwinkumar Ganesan, Tim Oates

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Dataset Selection for Controlling Swarms by Visual Demonstration.

Karan Kumar Budhraja, Tim Oates

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Preliminary Survey Analysis in Participatory Design: Repositioning, Transferring, and Personal Care Robots.

Kavita Krishnaswamy, Srinivas Moorthy, Tim Oates

Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 2017

Neuroevolution-based Inverse Reinforcement Learning.

Karan K. Budhraja, Tim Oates

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016

Developing a limb repositioning robotic interface for persons with severe physical disabilities.

Kavita Krishnaswamy, Ravi Kuber, Tim Oates

Univers. Access Inf. Soc., 2016

Designing and Learning Substitutable Plane Graph Grammars.

Rémi Eyraud, Jean-Christophe Janodet, Tim Oates, Frédéric Papadopoulos

Fundam. Informaticae, 2016

Finding Representative Points in Multivariate Data Using PCA.

Ashwinkumar Ganesan, Tim Oates, Matt Schmill

CoRR, 2016

MDSENT at SemEval-2016 Task 4: A Supervised System for Message Polarity Classification.

Hang Gao, Tim Oates

Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Controlling Swarms by Visual Demonstration.

Karan K. Budhraja, Tim Oates

Proceedings of the 10th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2016

A Gold Standard for Scalar Adjectives.

Bryan Wilkinson, Tim Oates

Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

A Data Driven Approach for the Science of Cyber Security: Challenges and Directions.

Bhavani Thuraisingham, Murat Kantarcioglu, Kevin W. Hamlen, Latifur Khan, Tim Finin, Anupam Joshi, Tim Oates, Elisa Bertino

Proceedings of the 17th IEEE International Conference on Information Reuse and Integration, 2016

Feature Selection in Environments with Limited Voluntary Information Sharing.

Nicholay Topin, Karan K. Budhraja, Tim Oates

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

RPM: Representative Pattern Mining for Efficient Time Series Classification.

Xing Wang, Jessica Lin, Pavel Senin, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein

Proceedings of the 19th International Conference on Extending Database Technology, 2016

Adaptive Normalized Risk-Averting Training for Deep Neural Networks.

Zhiguang Wang, Tim Oates, James Lo

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

A Flexible Multichannel EEG Feature Extractor and Classifier for Seizure Detection.

Adam Page, Chris Sagedy, Emily Smith, Nasrin Attaran, Tim Oates, Tinoosh Mohsenin

IEEE Trans. Circuits Syst. II Express Briefs, 2015

Spatially Encoding Temporal Correlations to Classify Temporal Data Using Convolutional Neural Networks.

Zhiguang Wang, Tim Oates

CoRR, 2015

Imaging Time-Series to Improve Classification and Imputation.

Zhiguang Wang, Tim Oates

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Adversarial Feature Selection.

Karan Kumar Budhraja, Tim Oates

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Pooling SAX-BoP Approaches with Boosting to Classify Multivariate Synchronous Physiological Time Series Data.

Zhiguang Wang, Tim Oates

Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

An ultra low power feature extraction and classification system for wearable seizure detection.

Adam Page, Siddharth Pramod, Tim Oates, Tinoosh Mohsenin

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Time series anomaly discovery with grammar-based compression.

Pavel Senin, Jessica Lin, Xing Wang, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein

Proceedings of the 18th International Conference on Extending Database Technology, 2015

A Generative Model For Time Series Discretization Based On Multiple Normal Distributions.

Sunil Gandhi, Tim Oates, Arnold P. Boedihardjo, Crystal Chen, Jessica Lin, Pavel Senin, Susan Frankenstein, Xing Wang

Proceedings of the 8th Workshop on Ph.D. Workshop in Information and Knowledge Management, 2015

2014

Introduction to the Special Issue on Grammatical Inference.

Jeffrey Heinz, Colin de la Higuera, Tim Oates

Mach. Learn., 2014

Finding story chains in newswire articles using random walks.

Xianshu Zhu, Tim Oates

Inf. Syst. Frontiers, 2014

GrammarViz 2.0: A Tool for Grammar-Based Pattern Discovery in Time Series.

Pavel Senin, Jessica Lin, Xing Wang, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein, Manfred Lerner

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Time Warping Symbolic Aggregation Approximation with Bag-of-Patterns Representation for Time Series Classification.

Zhiguang Wang, Tim Oates

Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

On-Line Signature Verification Using Symbolic Aggregate Approximation (SAX) and Sequential Mining Optimization (SMO).

Rakesh Deivachilai, Tim Oates

Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

Text Mining for Hypotheses and Results in Translational Medicine Studies.

Terry H. Tsai, Niels Kasch, Craig Pfeifer, Tim Oates

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Comparing Raw Data and Feature Extraction for Seizure Detection with Deep Learning Methods.

Adam Page, J. T. Turner, Tinoosh Mohsenin, Tim Oates

Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014

Deep Belief Networks Used on High Resolution Multichannel Electroencephalography Data for Seizure Detection.

J. T. Turner, Adam Page, Tinoosh Mohsenin, Tim Oates

Proceedings of the 2014 AAAI Spring Symposia, 2014

2013

Contextualizing the global relevance of local land change observations.

Nicholas R. Magliocca, Erle C. Ellis, Tim Oates, Matthew D. Schmill

CoRR, 2013

Finding news story chains based on multi-dimensional event profiles.

Xianshu Zhu, Tim Oates

Proceedings of the Open research Areas in Information Retrieval, 2013

KELVIN: a tool for automated knowledge base construction.

Paul McNamee, James Mayfield, Tim Finin, Tim Oates, Dawn J. Lawrie, Tan Xu, Douglas W. Oard

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

From Robots to Reinforcement Learning.

Tongchun Du, Michael T. Cox, Don Perlis, Jared Shamwell, Tim Oates

Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

Ecosembles: A Rapidly Deployable Image Classification System Using Feature-Views.

Adrian Rosebrock, Tim Oates, Jesus J. Caban

Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Motif discovery in spatial trajectories using grammar inference.

Tim Oates, Arnold P. Boedihardjo, Jessica Lin, Crystal Chen, Susan Frankenstein, Sunil Gandhi

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

Preface.

Jeffrey Heinz, Colin de la Higuera, Tim Oates

Proceedings of the Eleventh International Conference on Grammatical Inference, 2012

Learning Substitutable Binary Plane Graph Grammars.

Rémi Eyraud, Jean-Christophe Janodet, Tim Oates

Proceedings of the Eleventh International Conference on Grammatical Inference, 2012

Visualization of multivariate time-series data in a neonatal ICU.

Patricia Ordóñez, Tim Oates, Michael Lombardi, Genaro Hernández, Kathryn W. Holmes, Jim Fackler, Christoph U. Lehmann

IBM J. Res. Dev., 2012

HLTCOE Participation at TAC 2012: Entity Linking and Cold Start Knowledge Base Construction.

Paul McNamee, Veselin Stoyanov, James Mayfield, Tim Finin, Tim Oates, Tan Xu, Douglas W. Oard, Dawn J. Lawrie

Proceedings of the Fifth Text Analysis Conference, 2012

Visualizing Variable-Length Time Series Motifs.

Yuan Li, Jessica Lin, Tim Oates

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

A Context-Aware Approach to Entity Linking.

Veselin Stoyanov, James Mayfield, Tan Xu, Douglas W. Oard, Dawn J. Lawrie, Tim Oates, Tim Finin

Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, 2012

Finding story chains in newswire articles.

Xianshu Zhu, Tim Oates

Proceedings of the IEEE 13th International Conference on Information Reuse & Integration, 2012

Commonsense Knowledge in Weblogs: Mining Script-Like Structures from the Web.

Niels Kasch, Tim Oates

Proceedings of the Advances in Data Mining. 12th Industrial Conference, 2012

Exploiting Representational Diversity for Time Series Classification.

Tim Oates, Colin F. Mackenzie, Deborah M. Stein, Lynn G. Stansbury, Joseph Dubose, Bizhan Aarabi, Peter Fu-Ming Hu

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Predicting Patient Outcomes from a Few Hours of High Resolution Vital Signs Data.

Tim Oates, Colin F. Mackenzie, Lynn G. Stansbury, Bizhan Aarabi, Deborah M. Stein, Peter Fu-Ming Hu

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

The robot baby and massive metacognition: Early steps via growing neural gas.

Jared Shamwell, Tim Oates, Preeti Bhargava, Michael T. Cox, Uran Oh, Matthew Paisner, Donald Perlis

Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

The robot baby and massive metacognition: Future vision.

Preeti Bhargava, Michael T. Cox, Tim Oates, Uran Oh, Matthew Paisner, Donald Perlis, Jared Shamwell

Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

Joint inference of soft biometric features.

Niyati Chhaya, Tim Oates

Proceedings of the 5th IAPR International Conference on Biometrics, 2012

2011

Discovering and Characterizing Hidden Variables Using a Novel Neural Network Architecture: LO-Net.

Soumi Ray, Tim Oates

J. Robotics, 2011

Robust Face Detection in Patient Triage Images.

Niyati Chhaya, Tim Oates

Proceedings of the VISAPP 2011, 2011

Real-time path planning for a robotic arm.

Kavita Krishnaswamy, Jennifer Sleeman, Tim Oates

Proceedings of the PETRA 2011, 2011

Hierarchical Bayesian Models for Latent Attribute Detection in Social Media.

Delip Rao, Michael J. Paul, Clayton Fink, David Yarowsky, Timothy Oates, Glen Coppersmith

Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Managing Uncertainty in Text-to-Sketch Tracking Problems.

Matthew D. Schmill, Tim Oates

Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Improving the Discovery and Characterization of Hidden Variables by Regularizing the LO-net.

Soumi Ray, Tim Oates

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Classification of Patients Using Novel Multivariate Time Series Representations of Physiological Data.

Patricia Ordóñez, Tom Armstrong, Tim Oates, Jim Fackler

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Using Modified Multivariate Bag-of-Words Models to Classify Physiological Data.

Patricia Ordóñez, Tom Armstrong, Tim Oates, Jim Fackler

Proceedings of the Data Mining Workshops (ICDMW), 2011

An Architecture for Bootstrapping Lexical Semantics and Grammatical Structures.

Tom Armstrong, Tim Oates

Proceedings of the 2011 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2011

Model AI Assignments 2011.

Todd W. Neller, Marie desJardins, Tim Oates, Matthew E. Taylor

Proceedings of the Second Symposium on Education Advances in Artificial Intelligence, 2011

Toward an Integrated Metacognitive Architecture.

Michael T. Cox, Tim Oates, Donald Perlis

Proceedings of the Advances in Cognitive Systems, 2011

The Metacognitive Loop and Reasoning about Anomalies.

Matthew D. Schmill, Michael L. Anderson, Scott Fults, Darsana P. Josyula, Tim Oates, Don Perlis, Hamid Haidarian Shahri, Shomir Wilson, Dean Wright

Proceedings of the Metareasoning - Thinking about Thinking., 2011

2010

Inferring Probability Distributions of Graph Size and Node Degree from Stochastic Graph Grammars.

Sourav Mukherjee, Tim Oates

Proceedings of the SIAM International Conference on Data Mining, 2010

Energy efficient node engagement strategies for achieving data fidelity in wireless sensor networks.

Namita Sapre, Mohamed F. Younis, Tim Oates

Proceedings of the 35th Annual IEEE Conference on Local Computer Networks, 2010

Discovering and Characterizing Hidden Variables in Streaming Multivariate Time Series.

Soumi Ray, Tim Oates

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Learning Deterministic Finite Automata from Interleaved Strings.

Joshua Jones, Tim Oates

Proceedings of the Grammatical Inference: Theoretical Results and Applications, 2010

We're Not in Kansas Anymore: Detecting Domain Changes in Streams.

Mark Dredze, Tim Oates, Christine D. Piatko

Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

The Metacognitive Loop: An Architecture for Building Robust Intelligent Systems.

Hamid Haidarian Shahri, Wikum Dinalankara, Scott Fults, Shomir Wilson, Donald Perlis, Matt Schmill, Tim Oates, Darsana P. Josyula, Michael L. Anderson

Proceedings of the Commonsense Knowledge, 2010

Metacognition for Detecting and Resolving Conflicts in Operational Policies.

Darsana P. Josyula, Bette J. Donahue, Matthew McCaslin, Michelle Snowden, Michael L. Anderson, Tim Oates, Matthew D. Schmill, Donald Perlis

Proceedings of the Metacognition for Robust Social Systems, 2010

2009

Reports of the AAAI 2009 Spring Symposia.

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

AI Mag., 2009

A Context Driven Approach for Workflow Mining.

Fusun Yaman, Tim Oates, Mark H. Burstein

Proceedings of the IJCAI 2009, 2009

Ensembles in adversarial classification for spam.

Deepak Chinavle, Pranam Kolari, Tim Oates, Tim Finin

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Preface.

Sergei Nirenburg, Tim Oates

Proceedings of the Learning by Reading and Learning to Read, 2009

Organizing Committee.

Sergei Nirenburg, Tim Oates

Proceedings of the Learning by Reading and Learning to Read, 2009

2008

A Too-Clever Ranking Method.

Tim Oates

AI Mag., 2008

AAAI Fall Symposium Reports.

Jerry T. 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 O. Riedl, Goran Trajkovski, Walt Truszkowski, N. Serdar Uckun

AI Mag., 2008

A Self-Help Guide For Autonomous Systems.

Michael L. Anderson, Scott Fults, Darsana P. Josyula, Tim Oates, Donald Perlis, Shomir Wilson, Dean Wright

AI Mag., 2008

Introduction: Special Issue on Applications of Grammatical Inference.

Colin de la Higuera, Tim Oates, Menno van Zaanen

Appl. Artif. Intell., 2008

Estimating Graph Parameters Using Graph Grammars.

Sourav Mukherjee, Tim Oates

Proceedings of the Grammatical Inference: Algorithms and Applications, 2008

Which Came First, the Grammar or the Lexicon?.

Tom Armstrong, Tim Oates

Proceedings of the Grammatical Inference: Algorithms and Applications, 2008

Learning in the Lexical-Grammatical Interface.

Tom Armstrong, Tim Oates

Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

Essential Phenomena of General Intelligence.

Marc Pickett, Don Miner, Tim Oates

Proceedings of the Artificial General Intelligence 2008, 2008

Lexical and Grammatical Inference.

Tom Armstrong, Tim Oates

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

A Review of Recent Research in Metareasoning and Metalearning.

Michael L. Anderson, Tim Oates

AI Mag., 2007

Learning by Reading by Learning to Read.

Sergei Nirenburg, Tim Oates, Jesse English

Proceedings of the First IEEE International Conference on Semantic Computing (ICSC 2007), 2007

Using Ontologies and the Web to Learn Lexical Semantics.

Aarti Gupta, Tim Oates

Proceedings of the IJCAI 2007, 2007

A Human Activity Aware Learning Mobile Music Player.

Sandor Dornbush, Anupam Joshi, Zary Segall, Tim Oates

Proceedings of the Advances in Ambient Intelligence [best papers from AITamI@IJCAI 2007, 2007

Feeds That Matter: A Study of Bloglines Subscriptions.

Akshay Java, Pranam Kolari, Tim Finin, Anupam Joshi, Tim Oates

Proceedings of the First International Conference on Weblogs and Social Media, 2007

Toward Domain-Neutral Human-Level Metacognition.

Michael L. Anderson, Matthew D. Schmill, Tim Oates, Donald Perlis, Darsana P. Josyula, Dean Wright, Shomir Wilson

Proceedings of the Logical Formalizations of Commonsense Reasoning, 2007

The Marchitecture: A Cognitive Architecture for a Robot Baby.

Marc Pickett, Tim Oates

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

Real-Time Identification of Operating Room State from Video.

Beenish Bhatia, Tim Oates, Yan Xiao, Peter Fu-Ming Hu

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

UNDERTOW: Multi-Level Segmentation of Real-Valued Time Series.

Tom Armstrong, Tim Oates

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

The metacognitive loop I: Enhancing reinforcement learning with metacognitive monitoring and control for improved perturbation tolerance||.

Michael L. Anderson, Tim Oates, Waiyian Chong, Donald Perlis

J. Exp. Theor. Artif. Intell., 2006

Marcus Hutter, Universal Artificial Intelligence, Springer (2004).

Tim Oates, Waiyian Chong

Artif. Intell., 2006

Discovering Patterns in Real-Valued Time Series.

Joe Catalano, Tom Armstrong, Tim Oates

Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Inferring Grammars for Mildly Context Sensitive Languages in Polynomial-Time.

Tim Oates, Tom Armstrong, Leonor Becerra-Bonache, Mike Atamas

Proceedings of the Grammatical Inference: Algorithms and Applications, 2006

Visualization Support for Fusing Relational, Spatio-Temporal Data: Building Career Histories.

Jim Blythe, Mithila Patwardhan, Tim Oates, Marie desJardins, Penny Rheingans

Proceedings of the 9th International Conference on Information Fusion, 2006

Detecting Spam Blogs: A Machine Learning Approach.

Pranam Kolari, Akshay Java, Tim Finin, Tim Oates, Anupam Joshi

Proceedings of the Proceedings, 2006

2005

Reports on the 2005 AAAI Spring Symposium Series.

Michael L. Anderson, Thomas Barkowsky, Pauline Berry, Douglas S. Blank, Timothy Chklovski, Pedro M. 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

AI Mag., 2005

R. Siegwart and I. Nourbakhsh, Introduction to Autonomous Mobile Robots, MIT Press (2004).

Tim Oates

Artif. Intell., 2005

The Cruncher: Automatic Concept Formation Using Minimum Description Length.

Marc Pickett, Tim Oates

Proceedings of the Abstraction, 2005

Transfer in Learning by Doing.

William Krueger, Tim Oates, Tom Armstrong, Paul R. Cohen, Carole R. Beal

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Discovering Domain-Specific Composite Kernels.

Thomas Briggs, Tim Oates

Proceedings of the Proceedings, 2005

2004

Finding aliases on the web using latent semantic analysis.

Vinay Bhat, Tim Oates, Vishal Shanbhag, Charles K. Nicholas

Data Knowl. Eng., 2004

The 2004 AAAI Spring Symposium Series.

Lola Cañamero, Zachary Dodds, Lloyd G. Greenwald, James P. Gunderson, Ayanna M. Howard, Eva Hudlicka, Cheryl Martin, Lynn Parker, Tim Oates, Terry R. Payne, Yan Qu, Craig Schlenoff, James G. Shanahan, Sheila Tejada, Jerry B. Weinberg, Janyce Wiebe

AI Mag., 2004

Generating Web Graphs with Embedded Communities.

Vivek Tawde, Tim Oates, Eric J. Glover

Proceedings of the Algorithms and Models for the Web-Graph: Third International Workshop, 2004

On the Relationship between Lexical Semantics and Syntax for the Inference of Context-Free Grammars.

Tim Oates, Tom Armstrong, Justin Harris, Mark Nejman

Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003

Estimating Maximum Likelihood Parameters for Stochastic Context-Free Graph Grammars.

Tim Oates, Shailesh Doshi, Fang Huang

Proceedings of the Inductive Logic Programming: 13th International Conference, 2003

Leveraging Lexical Semantics to Infer Context-Free Grammars.

Tim Oates, Tom Armstrong, Justin Harris, Mark Nejman

Proceedings of the Workshop and Tutorial on Learning Contex-Free Grammars, 2003

Automatically Generated DAML Markup for Semistructured Documents.

William Krueger, Jonathan Nilsson, Tim Oates, Timothy W. Finin

Proceedings of the Agent Mediated Knowledge Management, 2003

2002

Using latent semantic analysis to find different names for the same entity in free text.

Tim Oates, Vinay Bhat, Vishal Shanbhag

Proceedings of the Fourth ACM CIKM International Workshop on Web Information and Data Management (WIDM 2002), 2002

The Thing that we Tried Didn't Work very Well: Deictic Representation in Reinforcement Learning.

Sarah Finney, Natalia Gardiol, Leslie Pack Kaelbling, Tim Oates

Proceedings of the UAI '02, 2002

Learning k-Reversible Context-Free Grammars from Positive Structural Examples.

Tim Oates, Devina Desai, Vinay Bhat

Proceedings of the Machine Learning, 2002

Estimating Grammar Parameters Using Bounded Memory.

Tim Oates, Brent Heeringa

Proceedings of the Grammatical Inference: Algorithms and Applications, 2002

PERUSE: An Unsupervised Algorithm for Finding Recurrig Patterns in Time Series.

Tim Oates

Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Contentful Mental States for Robot Baby.

Paul R. Cohen, Tim Oates, Carole R. Beal, Niall M. Adams

Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

2001

Using Dynamic Time Warping to Bootstrap HMM-Based Clustering of Time Series.

Tim Oates, Laura Firoiu, Paul R. Cohen

Proceedings of the Sequence Learning - Paradigms, Algorithms, and Applications, 2001

Robot Baby 2001.

Paul R. Cohen, Tim Oates, Niall M. Adams, Carole R. Beal

Proceedings of the Discovery Science, 4th International Conference, DS 2001, Washington, 2001

The Importance of Being Discrete: Learning Classes of Actions and Outcomes through Interaction.

Gary W. King, Tim Oates

Proceedings of the Advances in Artificial Intelligence, 2001

2000

Learning Planning Operators in Real-World, Partially Observable Environments.

Matthew D. Schmill, Tim Oates, Paul R. Cohen

Proceedings of the Fifth International Conference on Artificial Intelligence Planning Systems, 2000

Identifying qualitatively different outcomes of actions: gaining autonomy through learning.

Tim Oates, Matthew D. Schmill, Paul R. Cohen

Proceedings of the Fourth International Conference on Autonomous Agents, 2000

Toward natural language interfaces for robotic agents: grounding linguistic meaning in sensors.

Tim Oates, Zachary Eyler-Walker, Paul R. Cohen

Proceedings of the Fourth International Conference on Autonomous Agents, 2000

A Method for Clustering the Experiences of a Mobile Robot that Accords with Human Judgments.

Tim Oates, Matthew D. Schmill, Paul R. Cohen

Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1999

Efficient Progressive Sampling.

Foster J. Provost, David D. Jensen, Tim Oates

Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

Identifying Distinctive Subsequences in Multivariate Time Series by Clustering.

Tim Oates

Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

Efficient Mining of Statistical Dependencies.

Tim Oates, Matthew D. Schmill, Paul R. Cohen

Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Learned models for continuous planning.

Matthew D. Schmill, Tim Oates, Paul R. Cohen

Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

Efficient mining of statistical dependencies.

Tim Oates, Matthew D. Schmill, Paul R. Cohen, Casey Durfee

Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

Toward a Theoretical Understanding of Why and When Decision Tree Pruning Algorithms Fail.

Tim Oates, David D. Jensen

Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999

1998

Large Datasets Lead to Overly Complex Models: An Explanation and a Solution.

Tim Oates, David D. Jensen

Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

Learning Deterministic Finite Automaton with a Recurrent Neural Network.

Laura Firoiu, Tim Oates, Paul R. Cohen

Proceedings of the Grammatical Inference, 4th International Colloquium, 1998

1997

Cooperative information-gathering: a distributed problem-solving approach.

Tim Oates, M. V. Nagendra Prasad, Victor R. Lesser

IEE Proc. Softw. Eng., 1997

Building Simple Models: A Case Study with Decision Trees.

David D. Jensen, Tim Oates, Paul R. Cohen

Proceedings of the Advances in Intelligent Data Analysis, 1997

The Effects of Training Set Size on Decision Tree Complexity.

Tim Oates, David D. Jensen

Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997

Parallel and Distributed Search for Structure in Multivariate Time Series.

Tim Oates, Matthew D. Schmill, Paul R. Cohen

Proceedings of the Machine Learning: ECML-97, 1997

Neo: Learning Conceptual Knowledge by Sensorimotor Interaction with an Environment.

Paul R. Cohen, Marc S. Atkin, Tim Oates, Carole R. Beal

Proceedings of the First International Conference on Autonomous Agents, 1997

1996

Searching for Structure in Multiple Streams of Data.

Tim Oates, Paul R. Cohen

Proceedings of the Machine Learning, 1996

Searching for Planning Operators with Context-Dependent and Probabilistic Effects.

Tim Oates, Paul R. Cohen

Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

1995

Tools for detecting dependencies in AI systems.

Matthew D. Schmill, Tim Oates, Paul R. Cohen

Proceedings of the Seventh International Conference on Tools with Artificial Intelligence, 1995

Detecting Complex Dependencies in Categorical Data.

Tim Oates, Matthew D. Schmill, Dawn E. Gregory, Paul R. Cohen

Proceedings of the Learning from Data, 1995

1994

Toward a Plan Steering Agent: Experiments with Schedule Maintenance.

Tim Oates, Paul R. Cohen

Proceedings of the Second International Conference on Artificial Intelligence Planning Systems, 1994