Tim Oates

Publication Activity (10 Years)

Years Active: 1994-2021
Publications (10 Years): 67

Top Venues

CoRR

ICDM Workshops

IJCNN

ICDM (Workshops)

Publications

Sourav Mukherjee, David Widmark, Vince DiMascio, Tim Oates
Determining Standard Occupational Classification Codes from Job Descriptions in Immigration Petitions. ICDM (Workshops) (2021)
Akshay Peshave, Ashwinkumar Ganesan, Tim Oates
Predicting Network Threat Events Using HMM Ensembles. ADMA (2021)
Sourav Mukherjee, David Widmark, Vince DiMascio, Tim Oates
Determining Standard Occupational Classification Codes from Job Descriptions in Immigration Petitions. CoRR (2021)
Ashwinkumar Ganesan, Francis Ferraro, Tim Oates
Learning a Reversible Embedding Mapping using Bi-Directional Manifold Alignment. CoRR (2021)
Aidin Shiri, Bharat Prakash, Arnab Neelim Mazumder, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin
An Energy-Efficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning. AICAS (2021)
Bharat Prakash, Nicholas R. Waytowich, Tinoosh Mohsenin, Tim Oates
Automatic Goal Generation using Dynamical Distance Learning. CoRR (2021)
Bharat Prakash, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin
Interactive Hierarchical Guidance using Language. CoRR (2021)
Ashwinkumar Ganesan, Hang Gao, Sunil Gandhi, Edward Raff, Tim Oates, James Holt, Mark McLean
Learning with Holographic Reduced Representations. CoRR (2021)
Corey J. Nolet, Divye Gala, Edward Raff, Joe Eaton, Brad Rees, John Zedlewski, Tim Oates
Semiring Primitives for Sparse Neighborhood Methods on the GPU. CoRR (2021)
Sourav Mukherjee, J. J. Ben-Joseph, Marcelo Campos, Prashan Malla, Hieu Nguyen, Anh Pham, Tim Oates, Vasudevan Janarthanan
Predicting Physiological Effects of Chemical Substances Using Natural Language Processing. CCECE (2021)
Ashwinkumar Ganesan, Francis Ferraro, Tim Oates
Learning a Reversible Embedding Mapping using Bi-Directional Manifold Alignment. ACL/IJCNLP (Findings) (2021)
Corey J. Nolet, Victor Lafargue, Edward Raff, Thejaswi Nanditale, Tim Oates, John Zedlewski, Joshua Patterson
Bringing UMAP Closer to the Speed of Light with GPU Acceleration. AAAI (2021)
Ashwinkumar Ganesan, Frank Ferraro, Tim Oates
Locality Preserving Loss to Align Vector Spaces. CoRR (2020)
Corey J. Nolet, Victor Lafargue, Edward Raff, Thejaswi Nanditale, Tim Oates, John Zedlewski, Joshua Patterson
Bringing UMAP Closer to the Speed of Light with GPU Acceleration. CoRR (2020)
Sourav Mukherjee, Tim Oates, Vince DiMascio, Huguens Jean, Rob Ares, David Widmark, Jaclyn Harder
Immigration Document Classification and Automated Response Generation. CoRR (2020)
Bharat Prakash, Nicholas R. Waytowich, Ashwinkumar Ganesan, Tim Oates, Tinoosh Mohsenin
Guiding Safe Reinforcement Learning Policies Using Structured Language Constraints. SafeAI@AAAI (2020)
Sourav Mukherjee, Tim Oates, Vince DiMascio, Huguens Jean, Rob Ares, David Widmark, Jaclyn Harder
Immigration Document Classification and Automated Response Generation. ICDM (Workshops) (2020)
Bharat Prakash, Mark Horton, Nicholas R. Waytowich, William David Hairston, Tim Oates, Tinoosh Mohsenin
On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning. ACM Great Lakes Symposium on VLSI (2019)
Komal Sharan, Ashwinkumar Ganesan, Tim Oates
Improving Visual Reasoning with Attention Alignment. ISVC (1) (2019)
Ashwinkumar Ganesan, Pooja Parameshwarappa, Akshay Peshave, Zhiyuan Chen, Tim Oates
Extending Signature-based Intrusion Detection Systems WithBayesian Abductive Reasoning. CoRR (2019)
Isaac Mativo, Yelena Yesha, Michael A. Grasso, Tim Oates, Qian Zhu
Hybrid Mortality Prediction using Multiple Source Systems. CoRR (2019)
Hang Gao, Tim Oates
Universal Adversarial Perturbation for Text Classification. CoRR (2019)
Sunil Gandhi, Tim Oates, Tinoosh Mohsenin, Nicholas R. Waytowich
Learning Behaviors from a Single Video Demonstration Using Human Feedback. AAMAS (2019)
Sunil Gandhi, Tim Oates, Tinoosh Mohsenin, Nicholas R. Waytowich
Learning from Observations Using a Single Video Demonstration and Human Feedback. CoRR (2019)
J. T. Turner, Michael W. Floyd, Kalyan Moy Gupta, Tim Oates
NOD-CC: A Hybrid CBR-CNN Architecture for Novel Object Discovery. ICCBR (2019)
Bharat Prakash, Mark Horton, Nicholas R. Waytowich, William David Hairston, Tim Oates, Tinoosh Mohsenin
On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning. CoRR (2019)
Karan K. Budhraja, Hang Gao, Tim Oates
Using Neural Networks for Programming by Demonstration. CoRR (2019)
Sourav Mukherjee, Tim Oates, Ryan Wright
Graph Node Embeddings using Domain-Aware Biased Random Walks. CoRR (2019)
Neil Bell, Brian Seipp, Tim Oates, Cynthia Matuszek
Inferring Robot Morphology from Observation of Unscripted Movement. ICRA (2019)
Chi Zhang, Bryan Wilkinson, Ashwinkumar Ganesan, Tim Oates
Determining the Scale of Impact from Denial-of-Service Attacks in Real Time Using Twitter. CoRR (2019)
Ali Jafari, Ashwinkumar Ganesan, Chetan Sai Kumar Thalisetty, Varun Sivasubramanian, Tim Oates, Tinoosh Mohsenin
SensorNet: A Scalable and Low-Power Deep Convolutional Neural Network for Multimodal Data Classification. IEEE Trans. Circuits Syst. I Regul. Pap. (1) (2019)
Sunil Gandhi, Tim Oates, Tinoosh Mohsenin, W. David Hairston
Denoising Time Series Data Using Asymmetric Generative Adversarial Networks. PAKDD (3) (2018)
Pavel Senin, Jessica Lin, Xing Wang, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein
GrammarViz 3.0: Interactive Discovery of Variable-Length Time Series Patterns. ACM Trans. Knowl. Discov. Data 12 (1) (2018)
Brian Seipp, Karan Kumar Budhraja, Tim Oates
Optimizing Transitions between Abstract ABM Demonstrations. SASO (2018)
Karan Kumar Budhraja, Tim Oates
Implementing Feedback for Programming by Demonstration. SASO (2018)
Sandeep Nair Narayanan, Ashwinkumar Ganesan, Karuna P. Joshi, Tim Oates, Anupam Joshi, Tim Finin
Cognitive Techniques for Early Detection of Cybersecurity Events. CoRR (2018)
Karan Kumar Budhraja, Tim Oates
Improved Reverse Mapping for Controlling Swarms by Visual Demonstration. FAS*W@SASO/ICAC (2018)
Hang Gao, Tim Oates
Large Scale Taxonomy Classification using BiLSTM with Self-Attention. eCOM@SIGIR (2018)
Hang Gao, Tim Oates
On Finer Control of Information Flow in LSTMs. ECML/PKDD (1) (2018)
Sandeep Nair Narayanan, Ashwinkumar Ganesan, Karuna P. Joshi, Tim Oates, Anupam Joshi, Tim Finin
Early Detection of Cybersecurity Threats Using Collaborative Cognition. CIC (2018)
Karan K. Budhraja, John Winder, Tim Oates
Feature Construction for Controlling Swarms by Visual Demonstration. ACM Trans. Auton. Adapt. Syst. 12 (2) (2017)
Crystal Chen, Arnold P. Boedihardjo, Brian S. Jenkins, Charlotte L. Ellison, Jessica Lin, Pavel Senin, Tim Oates
STAVIS 2.0: Mining Spatial Trajectories via Motifs. SSTD (2017)
Karan K. Budhraja, Tim Oates
Neuroevolution-based Inverse Reinforcement Learning. CEC (2017)
Karan Kumar Budhraja, Tim Oates
Dataset Selection for Controlling Swarms by Visual Demonstration. ICDM Workshops (2017)
Mandar Haldekar, Ashwinkumar Ganesan, Tim Oates
Identifying Spatial Relations in Images using Convolutional Neural Networks. CoRR (2017)
Zhiguang Wang, Chul Gwon, Tim Oates, Adam Iezzi
Automated Cloud Provisioning on AWS using Deep Reinforcement Learning. CoRR (2017)
Neha Tilak, Sunil Gandhi, Tim Oates
Visual entity linking. IJCNN (2017)
Kavita Krishnaswamy, Srinivas Moorthy, Tim Oates
Survey Data Analysis for Repositioning, Transferring, and Personal Care Robots. PETRA (2017)
Arjun Kumar, Tim Oates
Connecting deep neural networks with symbolic knowledge. IJCNN (2017)
J. T. Turner, Adam Page, Tinoosh Mohsenin, Tim Oates
Deep Belief Networks used on High Resolution Multichannel Electroencephalography Data for Seizure Detection. CoRR (2017)
Kavita Krishnaswamy, Srinivas Moorthy, Tim Oates
Preliminary Survey Analysis in Participatory Design: Repositioning, Transferring, and Personal Care Robots. HRI (Companion) (2017)
Ali Jafari, Sunil Gandhi, Sri Harsha Konuru, W. David Hairston, Tim Oates, Tinoosh Mohsenin
An EEG artifact identification embedded system using ICA and multi-instance learning. ISCAS (2017)
Prutha Date, Ashwinkumar Ganesan, Tim Oates
Fashioning with Networks: Neural Style Transfer to Design Clothes. CoRR (2017)
Mandar Haldekar, Ashwinkumar Ganesan, Tim Oates
Identifying spatial relations in images using convolutional neural networks. IJCNN (2017)
Zhiguang Wang, Weizhong Yan, Tim Oates
Time series classification from scratch with deep neural networks: A strong baseline. IJCNN (2017)
Ashwinkumar Ganesan, Tim Oates, Matt Schmill
Finding Representative Points in Multivariate Data Using PCA. CoRR (2016)
Nicholay Topin, Karan K. Budhraja, Tim Oates
Feature Selection in Environments with Limited Voluntary Information Sharing. ICDM Workshops (2016)
Karan K. Budhraja, Tim Oates
Controlling Swarms by Visual Demonstration. SASO (2016)
Bryan Wilkinson, Tim Oates
A Gold Standard for Scalar Adjectives. LREC (2016)
Hang Gao, Tim Oates
MDSENT at SemEval-2016 Task 4: A Supervised System for Message Polarity Classification. SemEval@NAACL-HLT (2016)
Kavita Krishnaswamy, Ravi Kuber, Tim Oates
Developing a limb repositioning robotic interface for persons with severe physical disabilities. Univers. Access Inf. Soc. 15 (4) (2016)
Xing Wang, Jessica Lin, Pavel Senin, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein
RPM: Representative Pattern Mining for Efficient Time Series Classification. EDBT (2016)
Zhiguang Wang, Tim Oates, James Lo
Adaptive Normalized Risk-Averting Training for Deep Neural Networks. AAAI (2016)
Zhiguang Wang, Weizhong Yan, Tim Oates
Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline. CoRR (2016)
Rémi Eyraud, Jean-Christophe Janodet, Tim Oates, Frédéric Papadopoulos
Designing and Learning Substitutable Plane Graph Grammars. Fundam. Informaticae 146 (4) (2016)
Karan Kumar Budhraja, Tim Oates
Neuroevolution-Based Inverse Reinforcement Learning. CoRR (2016)
Bhavani M. Thuraisingham, Murat Kantarcioglu, Kevin W. Hamlen, Latifur Khan, Tim Finin, Anupam Joshi, Tim Oates, Elisa Bertino
A Data Driven Approach for the Science of Cyber Security: Challenges and Directions. IRI (2016)
Adam Page, Chris Sagedy, Emily Smith, Nasrin Attaran, Tim Oates, Tinoosh Mohsenin
A Flexible Multichannel EEG Feature Extractor and Classifier for Seizure Detection. IEEE Trans. Circuits Syst. II Express Briefs (2) (2015)
Pavel Senin, Jessica Lin, Xing Wang, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein
Time series anomaly discovery with grammar-based compression. EDBT (2015)
Adam Page, Siddharth Pramod, Tim Oates, Tinoosh Mohsenin
An ultra low power feature extraction and classification system for wearable seizure detection. EMBC (2015)
Sunil Gandhi, Tim Oates, Arnold P. Boedihardjo, Crystal Chen, Jessica Lin, Pavel Senin, Susan Frankenstein, Xing Wang
A Generative Model For Time Series Discretization Based On Multiple Normal Distributions. PIKM@CIKM (2015)
Zhiguang Wang, Tim Oates, James Lo
Adaptive Normalized Risk-Averting Training For Deep Neural Networks. CoRR (2015)
Zhiguang Wang, Tim Oates
Spatially Encoding Temporal Correlations to Classify Temporal Data Using Convolutional Neural Networks. CoRR (2015)
Karan Kumar Budhraja, Tim Oates
Adversarial Feature Selection. ICDM Workshops (2015)
Zhiguang Wang, Tim Oates
Imaging Time-Series to Improve Classification and Imputation. CoRR (2015)
Zhiguang Wang, Tim Oates
Imaging Time-Series to Improve Classification and Imputation. IJCAI (2015)
Zhiguang Wang, Tim Oates
Pooling SAX-BoP Approaches with Boosting to Classify Multivariate Synchronous Physiological Time Series Data. FLAIRS Conference (2015)
Rakesh Deivachilai, Tim Oates
On-Line Signature Verification Using Symbolic Aggregate Approximation (SAX) and Sequential Mining Optimization (SMO). ICMLA (2014)
Adam Page, J. T. Turner, Tinoosh Mohsenin, Tim Oates
Comparing Raw Data and Feature Extraction for Seizure Detection with Deep Learning Methods. FLAIRS Conference (2014)
Zhiguang Wang, Tim Oates
Time Warping Symbolic Aggregation Approximation with Bag-of-Patterns Representation for Time Series Classification. ICMLA (2014)
Pavel Senin, Jessica Lin, Xing Wang, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein, Manfred Lerner
GrammarViz 2.0: A Tool for Grammar-Based Pattern Discovery in Time Series. ECML/PKDD (3) (2014)
J. T. Turner, Adam Page, Tinoosh Mohsenin, Tim Oates
Deep Belief Networks Used on High Resolution Multichannel Electroencephalography Data for Seizure Detection. AAAI Spring Symposia (2014)
Terry H. Tsai, Niels Kasch, Craig Pfeifer, Tim Oates
Text Mining for Hypotheses and Results in Translational Medicine Studies. ICDM Workshops (2014)
Xianshu Zhu, Tim Oates
Finding story chains in newswire articles using random walks. Inf. Syst. Frontiers 16 (5) (2014)
Jeffrey Heinz, Colin de la Higuera, Tim Oates
Introduction to the Special Issue on Grammatical Inference. Mach. Learn. 96 (1-2) (2014)
Adrian Rosebrock, Tim Oates, Jesus J. Caban
Ecosembles: A Rapidly Deployable Image Classification System Using Feature-Views. ICMLA (1) (2013)
Tongchun Du, Michael T. Cox, Don Perlis, Jared Shamwell, Tim Oates
From Robots to Reinforcement Learning. ICTAI (2013)
Nicholas R. Magliocca, Erle C. Ellis, Tim Oates, Matthew D. Schmill
Contextualizing the global relevance of local land change observations. CoRR (2013)
Paul McNamee, James Mayfield, Tim Finin, Tim Oates, Dawn J. Lawrie, Tan Xu, Douglas W. Oard
KELVIN: a tool for automated knowledge base construction. HLT-NAACL (2013)
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 (2013)
Tim Oates, Arnold P. Boedihardjo, Jessica Lin, Crystal Chen, Susan Frankenstein, Sunil Gandhi
Motif discovery in spatial trajectories using grammar inference. CIKM (2013)
Xianshu Zhu, Tim Oates
Finding news story chains based on multi-dimensional event profiles. OAIR (2013)
Veselin Stoyanov, James Mayfield, Tan Xu, Douglas W. Oard, Dawn J. Lawrie, Tim Oates, Tim Finin
A Context-Aware Approach to Entity Linking. AKBC-WEKEX@NAACL-HLT (2012)
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)
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)
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)
Niyati Chhaya, Tim Oates
Joint inference of soft biometric features. ICB (2012)
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 J. Res. Dev. 56 (5) (2012)
Niels Kasch, Tim Oates
Commonsense Knowledge in Weblogs: Mining Script-Like Structures from the Web. ICDM (Workshops) (2012)
Xianshu Zhu, Tim Oates
Finding story chains in newswire articles. IRI (2012)

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Publication Activity (10 Years)

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Tim Oates