Tim Oates - RankMe

247 papers A* 28A 13B 20C 8Misc 8Journal 82Unranked 84

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ASEHybrid: When Geometry Matters Beyond Homophily in Graph Neural Networks. CoRR Shalima Binta Manir, Tim Oates
2026	J	`jnl`	Towards generalization in subitizing with neuro-symbolic loss using holographic reduced representations. Cogn. Syst. Res. Mohammad Mahmudul Alam, Edward Raff, Tim Oates
2026	J	`jnl`	Trojans in Artificial Intelligence (TrojAI) Final Report. CoRR Kristopher W. Reese, Taylor Kulp-McDowall, Michael Majurski, Timothy Blattner, Derek Juba, Peter Bajcsy, Antonio Cardone, Philippe Dessauw, Alden Dima, Anthony J. Kearsley, Melinda Kleczynski, Joel Vasanth, Walid Keyrouz, Chace Ashcraft, Neil Fendley, Ted Staley, Trevor Stout, Josh Carney, Greg Canal, William Redman, Aurora Schmidt, Cameron Hickert, William Paul, Jared Markowitz, Nathan Drenkow, David Shriver, Marissa Connor, Keltin Grimes, Marco Christiani, Hayden Moore, Jordan Widjaja, Kasimir Gabert, Uma Balakrishnan, Satyanadh Gundimada, John Jacobellis, Sandya Lakkur, Vitus Leung, Jon Roose, Casey Battaglino, Farinaz Koushanfar, Greg Fields, Xihe Gu, Yaman Jandali, Xinqiao Zhang, Tara Javidi, Akash Vartak, Tim Oates, Ben Erichson, Michael Mahoney, Rauf Izmailov, Xiangyu Zhang, Guangyu Shen, Siyuan Cheng, Shiqing Ma, Xiaofeng Wang, Haixu Tang, Di Tang, Xiaoyi Chen, Zihao Wang, Rui Zhu, Susmit Jha, Xiao Lin, Manoj Acharya, Weichao Zhou, Feisi Fu, Panagiota Kiourti, Chenyu Wang, Zijian Guo, H. M. Sabbir Ahmad, Wenchao Li, Chao Chen
2025	J	`jnl`	A Vector Symbolic Approach to Multiple Instance Learning. CoRR Ehsan Ahmed Dhrubo, Mohammad Mahmudul Alam, Edward Raff, Tim Oates, James Holt
2025	B	`conf`	DeBUGCN - Detecting Backdoors in CNNs Using Graph Convolutional Networks. IJCNN Akash Vartak, Khondoker Murad Hossain, Tim Oates
2025	J	`jnl`	DeBUGCN - Detecting Backdoors in CNNs Using Graph Convolutional Networks. CoRR Akash Vartak, Khondoker Murad Hossain, Tim Oates
2025	B	`conf`	Floorplan2Guide: LLM-Guided Floorplan Parsing for BLV Indoor Navigation. IEEE Big Data Aydin Ayanzadeh, Tim Oates
2025	J	`jnl`	Floorplan2Guide: LLM-Guided Floorplan Parsing for BLV Indoor Navigation. CoRR Aydin Ayanzadeh, Tim Oates
2025	J	`jnl`	Hierarchical Learning for Maze Navigation: Emergence of Mental Representations via Second-Order Learning. CoRR Shalima Binta Manir, Tim Oates
2025	J	`jnl`	MDToC: Metacognitive Dynamic Tree of Concepts for Boosting Mathematical Problem-Solving of Large Language Models. CoRR Tung Duong Ta, Tim Oates, Thien Van Luong, Huan Vu, Tien Cuong Nguyen
2025	J	`jnl`	MedGrad E-CLIP: Enhancing Trust and Transparency in AI-Driven Skin Lesion Diagnosis. CoRR Sadia Kamal, Tim Oates
2025	J	`jnl`	One Model, Two Minds: A Context-Gated Graph Learner that Recreates Human Biases. CoRR Shalima Binta Manir, Tim Oates
2025	J	`jnl`	Predicting the Performance of Graph Convolutional Networks with Spectral Properties of the Graph Laplacian. CoRR Shalima Binta Manir, Tim Oates
2025	J	`jnl`	Skin-SOAP: A Weakly Supervised Framework for Generating Structured SOAP Notes. CoRR Sadia Kamal, Tim Oates, Joy Wan
2025	J	`jnl`	Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework. CoRR Sadia Kamal, Tim Oates, Joy Wan
2024	A*	`conf`	A Walsh Hadamard Derived Linear Vector Symbolic Architecture. NeurIPS Mohammad Mahmudul Alam, Alexander Oberle, Edward Raff, Stella Biderman, Tim Oates, James Holt
2024	J	`jnl`	A Walsh Hadamard Derived Linear Vector Symbolic Architecture. CoRR Mohammad Mahmudul Alam, Alexander Oberle, Edward Raff, Stella Biderman, Tim Oates, James Holt
2024	—	`conf`	Advancing Security in AI Systems: A Novel Approach to Detecting Backdoors in Deep Neural Networks. ICC Khondoker Murad Hossain, Tim Oates
2024	J	`jnl`	Advancing Security in AI Systems: A Novel Approach to Detecting Backdoors in Deep Neural Networks. CoRR Khondoker Murad Hossain, Tim Oates
2024	A	`conf`	Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware Detection. AISTATS Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates, James Holt
2024	J	`jnl`	Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware Detection. CoRR Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates, James Holt
2024	J	`jnl`	SBI-RAG: Enhancing Math Word Problem Solving for Students through Schema-Based Instruction and Retrieval-Augmented Generation. CoRR Prakhar Dixit, Tim Oates
2024	J	`jnl`	TEN-GUARD: Tensor Decomposition for Backdoor Attack Detection in Deep Neural Networks. CoRR Khondoker Murad Hossain, Tim Oates
2024	Misc	`conf`	Ten-Guard: Tensor Decomposition for Backdoor Attack Detection in Deep Neural Networks. ICASSP Khondoker Murad Hossain, Tim Oates
2024	Misc	`conf`	Using LLMs for Augmenting Hierarchical Agents with Common Sense Priors. FLAIRS Bharat Prakash, Tim Oates, Tinoosh Mohsenin
2023	—	`conf`	Backdoor Attack Detection in Computer Vision by Applying Matrix Factorization on the Weights of Deep Networks. SafeAI@AAAI Khondoker Murad Hossain, Tim Oates
2023	J	`jnl`	DDxT: Deep Generative Transformer Models for Differential Diagnosis. CoRR Mohammad Mahmudul Alam, Edward Raff, Tim Oates, Cynthia Matuszek
2023	J	`jnl`	LLM Augmented Hierarchical Agents. CoRR Bharat Prakash, Tim Oates, Tinoosh Mohsenin
2023	A*	`conf`	RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget (Student Abstract). AAAI Sourajit Saha, Shaswati Saha, Md. Osman Gani, Tim Oates, David Chapman
2023	J	`jnl`	RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget. CoRR Sourajit Saha, Shaswati Saha, Md. Osman Gani, Tim Oates, David Chapman
2023	A*	`conf`	Recasting Self-Attention with Holographic Reduced Representations. ICML Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates, James Holt
2023	J	`jnl`	Recasting Self-Attention with Holographic Reduced Representations. CoRR Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates, James Holt
2023	J	`jnl`	Towards Generalization in Subitizing with Neuro-Symbolic Loss using Holographic Reduced Representations. CoRR Mohammad Mahmudul Alam, Edward Raff, Tim Oates
2023	B	`conf`	Towards a Correct-by-Construction Design of Integrated Modular Avionics. FMCAD 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
2023	—	`conf`	cuSLINK: Single-Linkage Agglomerative Clustering on the GPU. ECML/PKDD (1) Corey J. Nolet, Divye Gala, Alexandre Fender, Mahesh Doijade, Joe Eaton, Edward Raff, John Zedlewski, Brad Rees, Tim Oates
2023	J	`jnl`	cuSLINK: Single-linkage Agglomerative Clustering on the GPU. CoRR Corey J. Nolet, Divye Gala, Alexandre Fender, Mahesh Doijade, Joe Eaton, Edward Raff, John Zedlewski, Brad Rees, Tim Oates
2022	J	`jnl`	Backdoor Attack Detection in Computer Vision by Applying Matrix Factorization on the Weights of Deep Networks. CoRR Khondoker Murad Hossain, Tim Oates
2022	A*	`conf`	Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations. ICML Mohammad Mahmudul Alam, Edward Raff, Tim Oates, James Holt
2022	J	`jnl`	Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations. CoRR Mohammad Mahmudul Alam, Edward Raff, Tim Oates, James Holt
2022	J	`jnl`	E2HRL: An Energy-efficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning. ACM Trans. Design Autom. Electr. Syst. Aidin Shiri, Uttej Kallakuri, Hasib-Al Rashid, Bharat Prakash, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin
2022	—	`conf`	GPU Semiring Primitives for Sparse Neighborhood Methods. MLSys Corey J. Nolet, Divye Gala, Edward Raff, Joe Eaton, Brad Rees, Tim Oates
2022	—	`conf`	Lempel-Ziv Networks. ICBINB Rebecca Saul, Mohammad Mahmudul Alam, John Hurwitz, Edward Raff, Tim Oates, James Holt
2022	J	`jnl`	Lempel-Ziv Networks. CoRR Rebecca Saul, Mohammad Mahmudul Alam, John Hurwitz, Edward Raff, Tim Oates, James Holt
2022	J	`jnl`	Towards an Interpretable Hierarchical Agent Framework using Semantic Goals. CoRR Bharat Prakash, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin
2021	—	`conf`	An Energy-Efficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning. AICAS Aidin Shiri, Bharat Prakash, Arnab Neelim Mazumder, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin
2021	J	`jnl`	Automatic Goal Generation using Dynamical Distance Learning. CoRR Bharat Prakash, Nicholas R. Waytowich, Tinoosh Mohsenin, Tim Oates
2021	A*	`conf`	Bringing UMAP Closer to the Speed of Light with GPU Acceleration. AAAI Corey J. Nolet, Victor Lafargue, Edward Raff, Thejaswi Nanditale, Tim Oates, John Zedlewski, Joshua Patterson
2021	—	`conf`	Determining Standard Occupational Classification Codes from Job Descriptions in Immigration Petitions. ICDM (Workshops) Sourav Mukherjee, David Widmark, Vince DiMascio, Tim Oates
2021	J	`jnl`	Determining Standard Occupational Classification Codes from Job Descriptions in Immigration Petitions. CoRR Sourav Mukherjee, David Widmark, Vince DiMascio, Tim Oates
2021	J	`jnl`	Interactive Hierarchical Guidance using Language. CoRR Bharat Prakash, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin
2021	—	`conf`	Learning a Reversible Embedding Mapping using Bi-Directional Manifold Alignment. ACL/IJCNLP (Findings) Ashwinkumar Ganesan, Francis Ferraro, Tim Oates
2021	J	`jnl`	Learning a Reversible Embedding Mapping using Bi-Directional Manifold Alignment. CoRR Ashwinkumar Ganesan, Francis Ferraro, Tim Oates
2021	A*	`conf`	Learning with Holographic Reduced Representations. NeurIPS Ashwinkumar Ganesan, Hang Gao, Sunil Gandhi, Edward Raff, Tim Oates, James Holt, Mark McLean
2021	J	`jnl`	Learning with Holographic Reduced Representations. CoRR Ashwinkumar Ganesan, Hang Gao, Sunil Gandhi, Edward Raff, Tim Oates, James Holt, Mark McLean
2021	C	`conf`	Predicting Network Threat Events Using HMM Ensembles. ADMA Akshay Peshave, Ashwinkumar Ganesan, Tim Oates
2021	—	`conf`	Predicting Physiological Effects of Chemical Substances Using Natural Language Processing. CCECE Sourav Mukherjee, J. J. Ben-Joseph, Marcelo Campos, Prashan Malla, Hieu Nguyen, Anh Pham, Tim Oates, Vasudevan Janarthanan
2021	J	`jnl`	Semiring Primitives for Sparse Neighborhood Methods on the GPU. CoRR Corey J. Nolet, Divye Gala, Edward Raff, Joe Eaton, Brad Rees, John Zedlewski, Tim Oates
2020	J	`jnl`	Bringing UMAP Closer to the Speed of Light with GPU Acceleration. CoRR Corey J. Nolet, Victor Lafargue, Edward Raff, Thejaswi Nanditale, Tim Oates, John Zedlewski, Joshua Patterson
2020	—	`conf`	Guiding Safe Reinforcement Learning Policies Using Structured Language Constraints. SafeAI@AAAI Bharat Prakash, Nicholas R. Waytowich, Ashwinkumar Ganesan, Tim Oates, Tinoosh Mohsenin
2020	—	`conf`	Immigration Document Classification and Automated Response Generation. ICDM (Workshops) Sourav Mukherjee, Tim Oates, Vince DiMascio, Huguens Jean, Rob Ares, David Widmark, Jaclyn Harder
2020	J	`jnl`	Immigration Document Classification and Automated Response Generation. CoRR Sourav Mukherjee, Tim Oates, Vince DiMascio, Huguens Jean, Rob Ares, David Widmark, Jaclyn Harder
2020	J	`jnl`	Locality Preserving Loss to Align Vector Spaces. CoRR Ashwinkumar Ganesan, Frank Ferraro, Tim Oates
2019	J	`jnl`	Determining the Scale of Impact from Denial-of-Service Attacks in Real Time Using Twitter. CoRR Chi Zhang, Bryan Wilkinson, Ashwinkumar Ganesan, Tim Oates
2019	J	`jnl`	Extending Signature-based Intrusion Detection Systems WithBayesian Abductive Reasoning. CoRR Ashwinkumar Ganesan, Pooja Parameshwarappa, Akshay Peshave, Zhiyuan Chen, Tim Oates
2019	J	`jnl`	Graph Node Embeddings using Domain-Aware Biased Random Walks. CoRR Sourav Mukherjee, Tim Oates, Ryan Wright
2019	J	`jnl`	Hybrid Mortality Prediction using Multiple Source Systems. CoRR Isaac Mativo, Yelena Yesha, Michael A. Grasso, Tim Oates, Qian Zhu
2019	—	`conf`	Improving Visual Reasoning with Attention Alignment. ISVC (1) Komal Sharan, Ashwinkumar Ganesan, Tim Oates
2019	A*	`conf`	Inferring Robot Morphology from Observation of Unscripted Movement. ICRA Neil Bell, Brian Seipp, Tim Oates, Cynthia Matuszek
2019	A	`conf`	Learning Behaviors from a Single Video Demonstration Using Human Feedback. AAMAS Sunil Gandhi, Tim Oates, Tinoosh Mohsenin, Nicholas R. Waytowich
2019	J	`jnl`	Learning from Observations Using a Single Video Demonstration and Human Feedback. CoRR Sunil Gandhi, Tim Oates, Tinoosh Mohsenin, Nicholas R. Waytowich
2019	C	`conf`	NOD-CC: A Hybrid CBR-CNN Architecture for Novel Object Discovery. ICCBR J. T. Turner, Michael W. Floyd, Kalyan Moy Gupta, Tim Oates
2019	—	`conf`	On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning. ACM Great Lakes Symposium on VLSI Bharat Prakash, Mark Horton, Nicholas R. Waytowich, William David Hairston, Tim Oates, Tinoosh Mohsenin
2019	J	`jnl`	On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning. CoRR Bharat Prakash, Mark Horton, Nicholas R. Waytowich, William David Hairston, Tim Oates, Tinoosh Mohsenin
2019	J	`jnl`	SensorNet: A Scalable and Low-Power Deep Convolutional Neural Network for Multimodal Data Classification. IEEE Trans. Circuits Syst. I Regul. Pap. Ali Jafari, Ashwinkumar Ganesan, Chetan Sai Kumar Thalisetty, Varun Sivasubramanian, Tim Oates, Tinoosh Mohsenin
2019	J	`jnl`	Universal Adversarial Perturbation for Text Classification. CoRR Hang Gao, Tim Oates
2019	J	`jnl`	Using Neural Networks for Programming by Demonstration. CoRR Karan K. Budhraja, Hang Gao, Tim Oates
2018	J	`jnl`	Cognitive Techniques for Early Detection of Cybersecurity Events. CoRR Sandeep Nair Narayanan, Ashwinkumar Ganesan, Karuna P. Joshi, Tim Oates, Anupam Joshi, Tim Finin
2018	—	`conf`	Denoising Time Series Data Using Asymmetric Generative Adversarial Networks. PAKDD (3) Sunil Gandhi, Tim Oates, Tinoosh Mohsenin, W. David Hairston
2018	—	`conf`	Early Detection of Cybersecurity Threats Using Collaborative Cognition. CIC Sandeep Nair Narayanan, Ashwinkumar Ganesan, Karuna P. Joshi, Tim Oates, Anupam Joshi, Tim Finin
2018	J	`jnl`	GrammarViz 3.0: Interactive Discovery of Variable-Length Time Series Patterns. ACM Trans. Knowl. Discov. Data Pavel Senin, Jessica Lin, Xing Wang, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein
2018	—	`conf`	Implementing Feedback for Programming by Demonstration. SASO Karan Kumar Budhraja, Tim Oates
2018	—	`conf`	Improved Reverse Mapping for Controlling Swarms by Visual Demonstration. FAS*W@SASO/ICAC Karan Kumar Budhraja, Tim Oates
2018	—	`conf`	Large Scale Taxonomy Classification using BiLSTM with Self-Attention. eCOM@SIGIR Hang Gao, Tim Oates
2018	—	`conf`	On Finer Control of Information Flow in LSTMs. ECML/PKDD (1) Hang Gao, Tim Oates
2018	—	`conf`	Optimizing Transitions between Abstract ABM Demonstrations. SASO Brian Seipp, Karan Kumar Budhraja, Tim Oates
2017	C	`conf`	An EEG artifact identification embedded system using ICA and multi-instance learning. ISCAS Ali Jafari, Sunil Gandhi, Sri Harsha Konuru, W. David Hairston, Tim Oates, Tinoosh Mohsenin
2017	J	`jnl`	Automated Cloud Provisioning on AWS using Deep Reinforcement Learning. CoRR Zhiguang Wang, Chul Gwon, Tim Oates, Adam Iezzi
2017	B	`conf`	Connecting deep neural networks with symbolic knowledge. IJCNN Arjun Kumar, Tim Oates
2017	—	`conf`	Dataset Selection for Controlling Swarms by Visual Demonstration. ICDM Workshops Karan Kumar Budhraja, Tim Oates
2017	J	`jnl`	Deep Belief Networks used on High Resolution Multichannel Electroencephalography Data for Seizure Detection. CoRR J. T. Turner, Adam Page, Tinoosh Mohsenin, Tim Oates
2017	J	`jnl`	Fashioning with Networks: Neural Style Transfer to Design Clothes. CoRR Prutha Date, Ashwinkumar Ganesan, Tim Oates
2017	J	`jnl`	Feature Construction for Controlling Swarms by Visual Demonstration. ACM Trans. Auton. Adapt. Syst. Karan K. Budhraja, John Winder, Tim Oates
2017	J	`jnl`	Identifying Spatial Relations in Images using Convolutional Neural Networks. CoRR Mandar Haldekar, Ashwinkumar Ganesan, Tim Oates
2017	B	`conf`	Identifying spatial relations in images using convolutional neural networks. IJCNN Mandar Haldekar, Ashwinkumar Ganesan, Tim Oates
2017	B	`conf`	Neuroevolution-based Inverse Reinforcement Learning. CEC Karan K. Budhraja, Tim Oates
2017	—	`conf`	Preliminary Survey Analysis in Participatory Design: Repositioning, Transferring, and Personal Care Robots. HRI (Companion) Kavita Krishnaswamy, Srinivas Moorthy, Tim Oates
2017	B	`conf`	STAVIS 2.0: Mining Spatial Trajectories via Motifs. SSTD Crystal Chen, Arnold P. Boedihardjo, Brian S. Jenkins, Charlotte L. Ellison, Jessica Lin, Pavel Senin, Tim Oates
2017	—	`conf`	Survey Data Analysis for Repositioning, Transferring, and Personal Care Robots. PETRA Kavita Krishnaswamy, Srinivas Moorthy, Tim Oates
2017	B	`conf`	Time series classification from scratch with deep neural networks: A strong baseline. IJCNN Zhiguang Wang, Weizhong Yan, Tim Oates
2017	B	`conf`	Visual entity linking. IJCNN Neha Tilak, Sunil Gandhi, Tim Oates
2016	Misc	`conf`	A Data Driven Approach for the Science of Cyber Security: Challenges and Directions. IRI Bhavani Thuraisingham, Murat Kantarcioglu, Kevin W. Hamlen, Latifur Khan, Tim Finin, Anupam Joshi, Tim Oates, Elisa Bertino
2016	B	`conf`	A Gold Standard for Scalar Adjectives. LREC Bryan Wilkinson, Tim Oates
2016	A*	`conf`	Adaptive Normalized Risk-Averting Training for Deep Neural Networks. AAAI Zhiguang Wang, Tim Oates, James Lo
2016	—	`conf`	Controlling Swarms by Visual Demonstration. SASO Karan K. Budhraja, Tim Oates
2016	J	`jnl`	Designing and Learning Substitutable Plane Graph Grammars. Fundam. Informaticae Rémi Eyraud, Jean-Christophe Janodet, Tim Oates, Frédéric Papadopoulos
2016	J	`jnl`	Developing a limb repositioning robotic interface for persons with severe physical disabilities. Univers. Access Inf. Soc. Kavita Krishnaswamy, Ravi Kuber, Tim Oates
2016	—	`conf`	Feature Selection in Environments with Limited Voluntary Information Sharing. ICDM Workshops Nicholay Topin, Karan K. Budhraja, Tim Oates
2016	J	`jnl`	Finding Representative Points in Multivariate Data Using PCA. CoRR Ashwinkumar Ganesan, Tim Oates, Matt Schmill
2016	—	`conf`	MDSENT at SemEval-2016 Task 4: A Supervised System for Message Polarity Classification. SemEval@NAACL-HLT Hang Gao, Tim Oates
2016	J	`jnl`	Neuroevolution-Based Inverse Reinforcement Learning. CoRR Karan Kumar Budhraja, Tim Oates
2016	B	`conf`	RPM: Representative Pattern Mining for Efficient Time Series Classification. EDBT Xing Wang, Jessica Lin, Pavel Senin, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein
2016	J	`jnl`	Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline. CoRR Zhiguang Wang, Weizhong Yan, Tim Oates
2015	J	`jnl`	A Flexible Multichannel EEG Feature Extractor and Classifier for Seizure Detection. IEEE Trans. Circuits Syst. II Express Briefs Adam Page, Chris Sagedy, Emily Smith, Nasrin Attaran, Tim Oates, Tinoosh Mohsenin
2015	—	`conf`	A Generative Model For Time Series Discretization Based On Multiple Normal Distributions. PIKM@CIKM Sunil Gandhi, Tim Oates, Arnold P. Boedihardjo, Crystal Chen, Jessica Lin, Pavel Senin, Susan Frankenstein, Xing Wang
2015	J	`jnl`	Adaptive Normalized Risk-Averting Training For Deep Neural Networks. CoRR Zhiguang Wang, Tim Oates, James Lo
2015	—	`conf`	Adversarial Feature Selection. ICDM Workshops Karan Kumar Budhraja, Tim Oates
2015	—	`conf`	An ultra low power feature extraction and classification system for wearable seizure detection. EMBC Adam Page, Siddharth Pramod, Tim Oates, Tinoosh Mohsenin
2015	A*	`conf`	Imaging Time-Series to Improve Classification and Imputation. IJCAI Zhiguang Wang, Tim Oates
2015	J	`jnl`	Imaging Time-Series to Improve Classification and Imputation. CoRR Zhiguang Wang, Tim Oates
2015	Misc	`conf`	Pooling SAX-BoP Approaches with Boosting to Classify Multivariate Synchronous Physiological Time Series Data. FLAIRS Zhiguang Wang, Tim Oates
2015	J	`jnl`	Spatially Encoding Temporal Correlations to Classify Temporal Data Using Convolutional Neural Networks. CoRR Zhiguang Wang, Tim Oates
2015	B	`conf`	Time series anomaly discovery with grammar-based compression. EDBT Pavel Senin, Jessica Lin, Xing Wang, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein
2014	Misc	`conf`	Comparing Raw Data and Feature Extraction for Seizure Detection with Deep Learning Methods. FLAIRS Adam Page, J. T. Turner, Tinoosh Mohsenin, Tim Oates
2014	—	`conf`	Deep Belief Networks Used on High Resolution Multichannel Electroencephalography Data for Seizure Detection. AAAI Spring Symposia J. T. Turner, Adam Page, Tinoosh Mohsenin, Tim Oates
2014	J	`jnl`	Finding story chains in newswire articles using random walks. Inf. Syst. Frontiers Xianshu Zhu, Tim Oates
2014	—	`conf`	GrammarViz 2.0: A Tool for Grammar-Based Pattern Discovery in Time Series. ECML/PKDD (3) Pavel Senin, Jessica Lin, Xing Wang, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein, Manfred Lerner
2014	J	`jnl`	Introduction to the Special Issue on Grammatical Inference. Mach. Learn. Jeffrey Heinz, Colin de la Higuera, Tim Oates
2014	C	`conf`	On-Line Signature Verification Using Symbolic Aggregate Approximation (SAX) and Sequential Mining Optimization (SMO). ICMLA Rakesh Deivachilai, Tim Oates
2014	—	`conf`	Text Mining for Hypotheses and Results in Translational Medicine Studies. ICDM Workshops Terry H. Tsai, Niels Kasch, Craig Pfeifer, Tim Oates
2014	C	`conf`	Time Warping Symbolic Aggregation Approximation with Bag-of-Patterns Representation for Time Series Classification. ICMLA Zhiguang Wang, Tim Oates
2013	J	`jnl`	Contextualizing the global relevance of local land change observations. CoRR Nicholas R. Magliocca, Erle C. Ellis, Tim Oates, Matthew D. Schmill
2013	—	`conf`	Ecosembles: A Rapidly Deployable Image Classification System Using Feature-Views. ICMLA (1) Adrian Rosebrock, Tim Oates, Jesus J. Caban
2013	—	`conf`	Finding news story chains based on multi-dimensional event profiles. OAIR Xianshu Zhu, Tim Oates
2013	B	`conf`	From Robots to Reinforcement Learning. ICTAI Tongchun Du, Michael T. Cox, Don Perlis, Jared Shamwell, Tim Oates
2013	—	`conf`	KELVIN: a tool for automated knowledge base construction. HLT-NAACL Paul McNamee, James Mayfield, Tim Finin, Tim Oates, Dawn J. Lawrie, Tan Xu, Douglas W. Oard
2013	A	`conf`	Motif discovery in spatial trajectories using grammar inference. CIKM Tim Oates, Arnold P. Boedihardjo, Jessica Lin, Crystal Chen, Susan Frankenstein, Sunil Gandhi
2013	J	`jnl`	The Thing That We Tried Didn't Work Very Well : Deictic Representation in Reinforcement Learning CoRR Sarah Finney, Natalia Gardiol, Leslie Pack Kaelbling, Tim Oates
2012	—	`conf`	A Context-Aware Approach to Entity Linking. AKBC-WEKEX@NAACL-HLT Veselin Stoyanov, James Mayfield, Tan Xu, Douglas W. Oard, Dawn J. Lawrie, Tim Oates, Tim Finin
2012	—	`conf`	Commonsense Knowledge in Weblogs: Mining Script-Like Structures from the Web. ICDM (Poster and Industry Proceedings) Niels Kasch, Tim Oates
2012	—	`conf`	Commonsense Knowledge in Weblogs: Mining Script-Like Structures from the Web. ICDM (Workshops) Niels Kasch, Tim Oates
2012	—	`conf`	Exploiting Representational Diversity for Time Series Classification. ICMLA (2) Tim Oates, Colin F. Mackenzie, Deborah M. Stein, Lynn G. Stansbury, Joseph Dubose, Bizhan Aarabi, Peter Fu-Ming Hu
2012	Misc	`conf`	Finding story chains in newswire articles. IRI Xianshu Zhu, Tim Oates
2012	—	`conf`	HLTCOE Participation at TAC 2012: Entity Linking and Cold Start Knowledge Base Construction. TAC Paul McNamee, Veselin Stoyanov, James Mayfield, Tim Finin, Tim Oates, Tan Xu, Douglas W. Oard, Dawn J. Lawrie
2012	—	`conf`	Joint inference of soft biometric features. ICB Niyati Chhaya, Tim Oates
2012	—	`conf`	Learning Substitutable Binary Plane Graph Grammars. ICGI Rémi Eyraud, Jean-Christophe Janodet, Tim Oates
2012	—	`conf`	Predicting Patient Outcomes from a Few Hours of High Resolution Vital Signs Data. ICMLA (2) Tim Oates, Colin F. Mackenzie, Lynn G. Stansbury, Bizhan Aarabi, Deborah M. Stein, Peter Fu-Ming Hu
2012	—	`conf`	Preface. ICGI Jeffrey Heinz, Colin de la Higuera, Tim Oates
2012	—	`ed.`	Proceedings of the Eleventh International Conference on Grammatical Inference, ICGI 2012, University of Maryland, College Park, USA, September 5-8, 2012 ICGI Jeffrey Heinz, Colin de la Higuera, Tim Oates
2012	—	`conf`	The robot baby and massive metacognition: Early steps via growing neural gas. ICDL-EPIROB Jared Shamwell, Tim Oates, Preeti Bhargava, Michael T. Cox, Uran Oh, Matthew Paisner, Donald Perlis
2012	—	`conf`	The robot baby and massive metacognition: Future vision. ICDL-EPIROB Preeti Bhargava, Michael T. Cox, Tim Oates, Uran Oh, Matthew Paisner, Donald Perlis, Jared Shamwell
2012	J	`jnl`	Visualization of multivariate time-series data in a neonatal ICU. IBM J. Res. Dev. Patricia Ordóñez, Tim Oates, Michael Lombardi, Genaro Hernández, Kathryn W. Holmes, Jim Fackler, Christoph U. Lehmann
2012	A	`conf`	Visualizing Variable-Length Time Series Motifs. SDM Yuan Li, Jessica Lin, Tim Oates
2011	—	`conf`	An Architecture for Bootstrapping Lexical Semantics and Grammatical Structures. Web Intelligence/IAT Workshops Tom Armstrong, Tim Oates
2011	—	`conf`	Classification of Patients Using Novel Multivariate Time Series Representations of Physiological Data. ICMLA (2) Patricia Ordóñez, Tom Armstrong, Tim Oates, Jim Fackler
2011	J	`jnl`	Discovering and Characterizing Hidden Variables Using a Novel Neural Network Architecture: LO-Net. J. Robotics Soumi Ray, Tim Oates
2011	—	`conf`	Improving the Discovery and Characterization of Hidden Variables by Regularizing the LO-net. ICMLA (1) Soumi Ray, Tim Oates
2011	B	`conf`	Managing Uncertainty in Text-to-Sketch Tracking Problems. ICTAI Matthew D. Schmill, Tim Oates
2011	—	`conf`	Model AI Assignments 2011. EAAI Todd W. Neller, Marie desJardins, Tim Oates, Matthew E. Taylor
2011	—	`conf`	Real-time path planning for a robotic arm. PETRA Kavita Krishnaswamy, Jennifer Sleeman, Tim Oates
2011	—	`conf`	Robust Face Detection in Patient Triage Images. VISAPP Niyati Chhaya, Tim Oates
2011	—	`ch.`	The Metacognitive Loop and Reasoning about Anomalies. Metareasoning Matthew D. Schmill, Michael L. Anderson, Scott Fults, Darsana P. Josyula, Tim Oates, Don Perlis, Hamid Haidarian Shahri, Shomir Wilson, Dean Wright
2011	—	`conf`	Toward an Integrated Metacognitive Architecture. AAAI Fall Symposium: Advances in Cognitive Systems Michael T. Cox, Tim Oates, Donald Perlis
2011	—	`conf`	Using Modified Multivariate Bag-of-Words Models to Classify Physiological Data. ICDM Workshops Patricia Ordóñez, Tom Armstrong, Tim Oates, Jim Fackler
2010	C	`conf`	Discovering and Characterizing Hidden Variables in Streaming Multivariate Time Series. ICMLA Soumi Ray, Tim Oates
2010	B	`conf`	Energy efficient node engagement strategies for achieving data fidelity in wireless sensor networks. LCN Namita Sapre, Mohamed F. Younis, Tim Oates
2010	A	`conf`	Inferring Probability Distributions of Graph Size and Node Degree from Stochastic Graph Grammars. SDM Sourav Mukherjee, Tim Oates
2010	—	`conf`	Learning Deterministic Finite Automata from Interleaved Strings. ICGI Joshua Jones, Tim Oates
2010	—	`conf`	Metacognition for Detecting and Resolving Conflicts in Operational Policies. Metacognition for Robust Social Systems Darsana P. Josyula, Bette J. Donahue, Matthew McCaslin, Michelle Snowden, Michael L. Anderson, Tim Oates, Matthew D. Schmill, Donald Perlis
2010	—	`conf`	The Metacognitive Loop: An Architecture for Building Robust Intelligent Systems. AAAI Fall Symposium: Commonsense Knowledge Hamid Haidarian Shahri, Wikum Dinalankara, Scott Fults, Shomir Wilson, Donald Perlis, Matt Schmill, Tim Oates, Darsana P. Josyula, Michael L. Anderson
2010	A*	`conf`	We're Not in Kansas Anymore: Detecting Domain Changes in Streams. EMNLP Mark Dredze, Tim Oates, Christine D. Piatko
2009	A*	`conf`	A Context Driven Approach for Workflow Mining. IJCAI Fusun Yaman, Tim Oates, Mark H. Burstein
2009	A	`conf`	Ensembles in adversarial classification for spam. CIKM Deepak Chinavle, Pranam Kolari, Tim Oates, Tim Finin
2009	—	`conf`	Organizing Committee. AAAI Spring Symposium: Learning by Reading and Learning to Read Sergei Nirenburg, Tim Oates
2009	—	`conf`	Preface. AAAI Spring Symposium: Learning by Reading and Learning to Read Sergei Nirenburg, Tim Oates
2009	J	`jnl`	Reports of the AAAI 2009 Spring Symposia. AI Mag. 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
2008	J	`jnl`	A Self-Help Guide For Autonomous Systems. AI Mag. Michael L. Anderson, Scott Fults, Darsana P. Josyula, Tim Oates, Donald Perlis, Shomir Wilson, Dean Wright
2008	J	`jnl`	A Too-Clever Ranking Method. AI Mag. Tim Oates
2008	J	`jnl`	AAAI Fall Symposium Reports. AI Mag. 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
2008	—	`conf`	Essential Phenomena of General Intelligence. AGI Marc Pickett, Don Miner, Tim Oates
2008	—	`conf`	Estimating Graph Parameters Using Graph Grammars. ICGI Sourav Mukherjee, Tim Oates
2008	J	`jnl`	Introduction: Special Issue on Applications of Grammatical Inference. Appl. Artif. Intell. Colin de la Higuera, Tim Oates, Menno van Zaanen
2008	Misc	`conf`	Learning in the Lexical-Grammatical Interface. FLAIRS Tom Armstrong, Tim Oates
2008	A*	`conf`	Lexical and Grammatical Inference. AAAI Tom Armstrong, Tim Oates
2008	—	`conf`	Which Came First, the Grammar or the Lexicon?. ICGI Tom Armstrong, Tim Oates
2007	—	`conf`	A Human Activity Aware Learning Mobile Music Player. AITamI@IJCAI (best papers) Sandor Dornbush, Anupam Joshi, Zary Segall, Tim Oates
2007	J	`jnl`	A Review of Recent Research in Metareasoning and Metalearning. AI Mag. Michael L. Anderson, Tim Oates
2007	—	`ed.`	Computational Approaches to Representation Change during Learning and Development, Papers from the 2007 AAAI Fall Symposium, Arlington, Virginia, USA, November 9-11, 2007. AAAI Fall Symposium: Computational Approaches to Representation Change during Learning and Development Clayton T. Morrison, Tim Oates
2007	A	`conf`	Feeds That Matter: A Study of Bloglines Subscriptions. ICWSM Akshay Java, Pranam Kolari, Tim Finin, Anupam Joshi, Tim Oates
2007	—	`conf`	Learning by Reading by Learning to Read. ICSC Sergei Nirenburg, Tim Oates, Jesse English
2007	A*	`conf`	Real-Time Identification of Operating Room State from Video. AAAI Beenish Bhatia, Tim Oates, Yan Xiao, Peter Fu-Ming Hu
2007	A*	`conf`	The Marchitecture: A Cognitive Architecture for a Robot Baby. AAAI Marc Pickett, Tim Oates
2007	—	`conf`	Toward Domain-Neutral Human-Level Metacognition. AAAI Spring Symposium: Logical Formalizations of Commonsense Reasoning Michael L. Anderson, Matthew D. Schmill, Tim Oates, Donald Perlis, Darsana P. Josyula, Dean Wright, Shomir Wilson
2007	A*	`conf`	UNDERTOW: Multi-Level Segmentation of Real-Valued Time Series. AAAI Tom Armstrong, Tim Oates
2007	A*	`conf`	Using Ontologies and the Web to Learn Lexical Semantics. IJCAI Aarti Gupta, Tim Oates
2006	A*	`conf`	Detecting Spam Blogs: A Machine Learning Approach. AAAI Pranam Kolari, Akshay Java, Tim Finin, Tim Oates, Anupam Joshi
2006	—	`conf`	Discovering Patterns in Real-Valued Time Series. PKDD Joe Catalano, Tom Armstrong, Tim Oates
2006	—	`conf`	Inferring Grammars for Mildly Context Sensitive Languages in Polynomial-Time. ICGI Tim Oates, Tom Armstrong, Leonor Becerra-Bonache, Mike Atamas
2006	J	`jnl`	Marcus Hutter, Universal Artificial Intelligence, Springer (2004). Artif. Intell. Tim Oates, Waiyian Chong
2006	J	`jnl`	The metacognitive loop I: Enhancing reinforcement learning with metacognitive monitoring and control for improved perturbation tolerance\|\|. J. Exp. Theor. Artif. Intell. Michael L. Anderson, Tim Oates, Waiyian Chong, Donald Perlis
2006	C	`conf`	Visualization Support for Fusing Relational, Spatio-Temporal Data: Building Career Histories. FUSION Jim Blythe, Mithila Patwardhan, Tim Oates, Marie desJardins, Penny Rheingans
2005	—	`ed.`	2005 AAAI Spring Symposium on Metacognition in Computation, March 21-23 2005, Stanford, California, USA AAAI Spring Symposium: Metacognition in Computation Mike Anderson, Tim Oates
2005	A*	`conf`	Discovering Domain-Specific Composite Kernels. AAAI Tom Briggs, Tim Oates
2005	J	`jnl`	R. Siegwart and I. Nourbakhsh, Introduction to Autonomous Mobile Robots, MIT Press (2004). Artif. Intell. Tim Oates
2005	J	`jnl`	Reports on the 2005 AAAI Spring Symposium Series. AI Mag. 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
2005	—	`conf`	The Cruncher: Automatic Concept Formation Using Minimum Description Length. SARA Marc Pickett, Tim Oates
2005	A*	`conf`	Transfer in Learning by Doing. IJCAI William Krueger, Tim Oates, Tom Armstrong, Paul R. Cohen, Carole R. Beal
2004	J	`jnl`	Finding aliases on the web using latent semantic analysis. Data Knowl. Eng. Vinay Bhat, Tim Oates, Vishal Shanbhag, Charles K. Nicholas
2004	C	`conf`	Generating Web Graphs with Embedded Communities. WAW Vivek Tawde, Tim Oates, Eric J. Glover
2004	A*	`conf`	On the Relationship between Lexical Semantics and Syntax for the Inference of Context-Free Grammars. AAAI Tim Oates, Tom Armstrong, Justin Harris, Mark Nejman
2004	J	`jnl`	The 2004 AAAI Spring Symposium Series. AI Mag. 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
2003	—	`conf`	Automatically Generated DAML Markup for Semistructured Documents. AMKM William Krueger, Jonathan Nilsson, Tim Oates, Timothy W. Finin
2003	B	`conf`	Estimating Maximum Likelihood Parameters for Stochastic Context-Free Graph Grammars. ILP Tim Oates, Shailesh Doshi, Fang Huang
2003	—	`conf`	Leveraging Lexical Semantics to Infer Context-Free Grammars. ECML Workshop on Learning Contex-Free Grammars Tim Oates, Tom Armstrong, Justin Harris, Mark Nejman
2002	—	`conf`	Contentful Mental States for Robot Baby. AAAI/IAAI Paul R. Cohen, Tim Oates, Carole R. Beal, Niall M. Adams
2002	—	`conf`	Estimating Grammar Parameters Using Bounded Memory. ICGI Tim Oates, Brent Heeringa
2002	A*	`conf`	Learning k-Reversible Context-Free Grammars from Positive Structural Examples. ICML Tim Oates, Devina Desai, Vinay Bhat
2002	A*	`conf`	PERUSE: An Unsupervised Algorithm for Finding Recurrig Patterns in Time Series. ICDM Tim Oates
2002	A	`conf`	The Thing that we Tried Didn't Work very Well: Deictic Representation in Reinforcement Learning. UAI Sarah Finney, Natalia Gardiol, Leslie Pack Kaelbling, Tim Oates
2002	—	`conf`	Using latent semantic analysis to find different names for the same entity in free text. WIDM Tim Oates, Vinay Bhat, Vishal Shanbhag
2001	B	`conf`	Robot Baby 2001. ALT Paul R. Cohen, Tim Oates, Niall M. Adams, Carole R. Beal
2001	B	`conf`	Robot Baby 2001. Discovery Science Paul R. Cohen, Tim Oates, Niall M. Adams, Carole R. Beal
2001	Misc	`conf`	The Importance of Being Discrete: Learning Classes of Actions and Outcomes through Interaction. AI Gary W. King, Tim Oates
2001	—	`conf`	Using Dynamic Time Warping to Bootstrap HMM-Based Clustering of Time Series. Sequence Learning Tim Oates, Laura Firoiu, Paul R. Cohen
2000	—	`conf`	A Method for Clustering the Experiences of a Mobile Robot that Accords with Human Judgments. AAAI/IAAI Tim Oates, Matthew D. Schmill, Paul R. Cohen
2000	—	`conf`	Identifying qualitatively different outcomes of actions: gaining autonomy through learning. Agents Tim Oates, Matthew D. Schmill, Paul R. Cohen
2000	—	`conf`	Learning Planning Operators in Real-World, Partially Observable Environments. AIPS Matthew D. Schmill, Tim Oates, Paul R. Cohen
2000	—	`conf`	Toward natural language interfaces for robotic agents: grounding linguistic meaning in sensors. Agents Tim Oates, Zachary Eyler-Walker, Paul R. Cohen
1999	A*	`conf`	Efficient Mining of Statistical Dependencies. IJCAI Tim Oates, Matthew D. Schmill, Paul R. Cohen
1999	A*	`conf`	Efficient Progressive Sampling. KDD Foster J. Provost, David D. Jensen, Tim Oates
1999	A	`conf`	Efficient mining of statistical dependencies. AISTATS Tim Oates, Matthew D. Schmill, Paul R. Cohen, Casey Durfee
1999	A*	`conf`	Identifying Distinctive Subsequences in Multivariate Time Series by Clustering. KDD Tim Oates
1999	A	`conf`	Learned models for continuous planning. AISTATS Matthew D. Schmill, Tim Oates, Paul R. Cohen
1999	—	`conf`	Toward a Theoretical Understanding of Why and When Decision Tree Pruning Algorithms Fail. AAAI/IAAI Tim Oates, David D. Jensen
1998	A*	`conf`	Large Datasets Lead to Overly Complex Models: An Explanation and a Solution. KDD Tim Oates, David D. Jensen
1998	—	`conf`	Learning Deterministic Finite Automaton with a Recurrent Neural Network. ICGI Laura Firoiu, Tim Oates, Paul R. Cohen
1997	A	`conf`	A Family of Algorithms for Finding Temporal Structure in Data. AISTATS Tim Oates, Matthew D. Schmill, David D. Jensen, Paul R. Cohen
1997	B	`conf`	Building Simple Models: A Case Study with Decision Trees. IDA David D. Jensen, Tim Oates, Paul R. Cohen
1997	J	`jnl`	Cooperative information-gathering: a distributed problem-solving approach. IEE Proc. Softw. Eng. Tim Oates, M. V. Nagendra Prasad, Victor R. Lesser
1997	—	`conf`	Neo: Learning Conceptual Knowledge by Sensorimotor Interaction with an Environment. Agents Paul R. Cohen, Marc S. Atkin, Tim Oates, Carole R. Beal
1997	—	`conf`	Parallel and Distributed Search for Structure in Multivariate Time Series. ECML Tim Oates, Matthew D. Schmill, Paul R. Cohen
1997	A	`conf`	The Effects of Training Set Size on Decision Tree Complexity. AISTATS Tim Oates, David D. Jensen
1997	A*	`conf`	The Effects of Training Set Size on Decision Tree Complexity. ICML Tim Oates, David D. Jensen
1996	—	`conf`	Searching for Planning Operators with Context-Dependent and Probabilistic Effects. AAAI/IAAI, Vol. 1 Tim Oates, Paul R. Cohen
1996	A*	`conf`	Searching for Structure in Multiple Streams of Data. ICML Tim Oates, Paul R. Cohen
1995	A	`conf`	Detecting Complex Dependencies in Categorical Data. AISTATS Tim Oates, Matthew D. Schmill, Dawn E. Gregory, Paul R. Cohen
1995	B	`conf`	Tools for detecting dependencies in AI systems. ICTAI Matthew D. Schmill, Tim Oates, Paul R. Cohen
1994	—	`conf`	Toward a Plan Steering Agent: Experiments with Schedule Maintenance. AIPS Tim Oates, Paul R. Cohen