Tim Oates

According to our database1, Tim Oates authored at least 146 papers between 1994 and 2018.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
GrammarViz 3.0: Interactive Discovery of Variable-Length Time Series Patterns.
TKDD, 2018

Denoising Time Series Data Using Asymmetric Generative Adversarial Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Early Detection of Cybersecurity Threats Using Collaborative Cognition.
Proceedings of the 4th IEEE International Conference on Collaboration and Internet Computing, 2018

2017
Feature Construction for Controlling Swarms by Visual Demonstration.
TAAS, 2017

STAVIS 2.0: Mining Spatial Trajectories via Motifs.
Proceedings of the Advances in Spatial and Temporal Databases, 2017

Survey Data Analysis for Repositioning, Transferring, and Personal Care Robots.
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.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Time series classification from scratch with deep neural networks: A strong baseline.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Visual entity linking.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Connecting deep neural networks with symbolic knowledge.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Identifying spatial relations in images using convolutional neural networks.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Dataset Selection for Controlling Swarms by Visual Demonstration.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Preliminary Survey Analysis in Participatory Design: Repositioning, Transferring, and Personal Care Robots.
Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 2017

Neuroevolution-based Inverse Reinforcement Learning.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Developing a limb repositioning robotic interface for persons with severe physical disabilities.
Universal Access in the Information Society, 2016

Designing and Learning Substitutable Plane Graph Grammars.
Fundam. Inform., 2016

MDSENT at SemEval-2016 Task 4: A Supervised System for Message Polarity Classification.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Controlling Swarms by Visual Demonstration.
Proceedings of the 10th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2016

A Gold Standard for Scalar Adjectives.
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.
Proceedings of the 17th IEEE International Conference on Information Reuse and Integration, 2016

Feature Selection in Environments with Limited Voluntary Information Sharing.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

RPM: Representative Pattern Mining for Efficient Time Series Classification.
Proceedings of the 19th International Conference on Extending Database Technology, 2016

Adaptive Normalized Risk-Averting Training for Deep Neural Networks.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
A Flexible Multichannel EEG Feature Extractor and Classifier for Seizure Detection.
IEEE Trans. on Circuits and Systems, 2015

Imaging Time-Series to Improve Classification and Imputation.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Adversarial Feature Selection.
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.
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.
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.
Proceedings of the 18th International Conference on Extending Database Technology, 2015

A Generative Model For Time Series Discretization Based On Multiple Normal Distributions.
Proceedings of the 8th Workshop on Ph.D. Workshop in Information and Knowledge Management, 2015

2014
Introduction to the Special Issue on Grammatical Inference.
Machine Learning, 2014

Finding story chains in newswire articles using random walks.
Information Systems Frontiers, 2014

GrammarViz 2.0: A Tool for Grammar-Based Pattern Discovery in Time Series.
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.
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).
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

Text Mining for Hypotheses and Results in Translational Medicine Studies.
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.
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.
Proceedings of the 2014 AAAI Spring Symposia, 2014

2013
Finding news story chains based on multi-dimensional event profiles.
Proceedings of the Open research Areas in Information Retrieval, 2013

KELVIN: a tool for automated knowledge base construction.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

From Robots to Reinforcement Learning.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

Ecosembles: A Rapidly Deployable Image Classification System Using Feature-Views.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Motif discovery in spatial trajectories using grammar inference.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Preface.
Proceedings of the Eleventh International Conference on Grammatical Inference, 2012

Learning Substitutable Binary Plane Graph Grammars.
Proceedings of the Eleventh International Conference on Grammatical Inference, 2012

Visualization of multivariate time-series data in a neonatal ICU.
IBM Journal of Research and Development, 2012

HLTCOE Participation at TAC 2012: Entity Linking and Cold Start Knowledge Base Construction.
Proceedings of the Fifth Text Analysis Conference, 2012

Visualizing Variable-Length Time Series Motifs.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

A Context-Aware Approach to Entity Linking.
Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, 2012

Finding story chains in newswire articles.
Proceedings of the IEEE 13th International Conference on Information Reuse & Integration, 2012

Commonsense Knowledge in Weblogs: Mining Script-Like Structures from the Web.
Proceedings of the Advances in Data Mining, 12th Industrial Conference, 2012

Commonsense Knowledge in Weblogs: Mining Script-Like Structures from the Web.
Proceedings of the Advances in Data Mining. 12th Industrial Conference, 2012

Exploiting Representational Diversity for Time Series Classification.
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.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

The robot baby and massive metacognition: Early steps via growing neural gas.
Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

The robot baby and massive metacognition: Future vision.
Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

Joint inference of soft biometric features.
Proceedings of the 5th IAPR International Conference on Biometrics, 2012

2011
Discovering and Characterizing Hidden Variables Using a Novel Neural Network Architecture: LO-Net.
J. Robotics, 2011

Robust Face Detection in Patient Triage Images.
Proceedings of the VISAPP 2011, 2011

Real-time path planning for a robotic arm.
Proceedings of the PETRA 2011, 2011

Managing Uncertainty in Text-to-Sketch Tracking Problems.
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.
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.
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.
Proceedings of the Data Mining Workshops (ICDMW), 2011

An Architecture for Bootstrapping Lexical Semantics and Grammatical Structures.
Proceedings of the 2011 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2011

Toward an Integrated Metacognitive Architecture.
Proceedings of the Advances in Cognitive Systems, 2011

2010
Inferring Probability Distributions of Graph Size and Node Degree from Stochastic Graph Grammars.
Proceedings of the SIAM International Conference on Data Mining, 2010

Energy efficient node engagement strategies for achieving data fidelity in wireless sensor networks.
Proceedings of the 35th Annual IEEE Conference on Local Computer Networks, 2010

Discovering and Characterizing Hidden Variables in Streaming Multivariate Time Series.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Learning Deterministic Finite Automata from Interleaved Strings.
Proceedings of the Grammatical Inference: Theoretical Results and Applications, 2010

We're Not in Kansas Anymore: Detecting Domain Changes in Streams.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

The Metacognitive Loop: An Architecture for Building Robust Intelligent Systems.
Proceedings of the Commonsense Knowledge, 2010

Metacognition for Detecting and Resolving Conflicts in Operational Policies.
Proceedings of the Metacognition for Robust Social Systems, 2010

2009
Reports of the AAAI 2009 Spring Symposia.
AI Magazine, 2009

A Context Driven Approach for Workflow Mining.
Proceedings of the IJCAI 2009, 2009

Ensembles in adversarial classification for spam.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

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

Organizing Committee.
Proceedings of the Learning by Reading and Learning to Read, 2009

2008
A Too-Clever Ranking Method.
AI Magazine, 2008

AAAI Fall Symposium Reports.
AI Magazine, 2008

A Self-Help Guide For Autonomous Systems.
AI Magazine, 2008

Introduction: Special Issue on Applications of Grammatical Inference.
Applied Artificial Intelligence, 2008

Estimating Graph Parameters Using Graph Grammars.
Proceedings of the Grammatical Inference: Algorithms and Applications, 2008

Which Came First, the Grammar or the Lexicon?.
Proceedings of the Grammatical Inference: Algorithms and Applications, 2008

Learning in the Lexical-Grammatical Interface.
Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

Essential Phenomena of General Intelligence.
Proceedings of the Artificial General Intelligence 2008, 2008

Lexical and Grammatical Inference.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
A Review of Recent Research in Metareasoning and Metalearning.
AI Magazine, 2007

Learning by Reading by Learning to Read.
Proceedings of the First IEEE International Conference on Semantic Computing (ICSC 2007), 2007

Using Ontologies and the Web to Learn Lexical Semantics.
Proceedings of the IJCAI 2007, 2007

A Human Activity Aware Learning Mobile Music Player.
Proceedings of the Advances in Ambient Intelligence [best papers from AITamI@IJCAI 2007, 2007

Feeds That Matter: A Study of Bloglines Subscriptions.
Proceedings of the First International Conference on Weblogs and Social Media, 2007

Toward Domain-Neutral Human-Level Metacognition.
Proceedings of the Logical Formalizations of Commonsense Reasoning, 2007

The Marchitecture: A Cognitive Architecture for a Robot Baby.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

Real-Time Identification of Operating Room State from Video.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

UNDERTOW: Multi-Level Segmentation of Real-Valued Time Series.
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||.
J. Exp. Theor. Artif. Intell., 2006

Marcus Hutter, Universal Artificial Intelligence, Springer (2004).
Artif. Intell., 2006

Discovering Patterns in Real-Valued Time Series.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Inferring Grammars for Mildly Context Sensitive Languages in Polynomial-Time.
Proceedings of the Grammatical Inference: Algorithms and Applications, 2006

Visualization Support for Fusing Relational, Spatio-Temporal Data: Building Career Histories.
Proceedings of the 9th International Conference on Information Fusion, 2006

Detecting Spam Blogs: A Machine Learning Approach.
Proceedings of the Proceedings, 2006

2005
Reports on the 2005 AAAI Spring Symposium Series.
AI Magazine, 2005

R. Siegwart and I. Nourbakhsh, Introduction to Autonomous Mobile Robots, MIT Press (2004).
Artif. Intell., 2005

The Cruncher: Automatic Concept Formation Using Minimum Description Length.
Proceedings of the Abstraction, 2005

Transfer in Learning by Doing.
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.
Proceedings of the Proceedings, 2005

2004
Finding aliases on the web using latent semantic analysis.
Data Knowl. Eng., 2004

The 2004 AAAI Spring Symposium Series.
AI Magazine, 2004

Generating Web Graphs with Embedded Communities.
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.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003
Estimating Maximum Likelihood Parameters for Stochastic Context-Free Graph Grammars.
Proceedings of the Inductive Logic Programming: 13th International Conference, 2003

Leveraging Lexical Semantics to Infer Context-Free Grammars.
Proceedings of the Workshop and Tutorial on Learning Contex-Free Grammars, 2003

Automatically Generated DAML Markup for Semistructured Documents.
Proceedings of the Agent Mediated Knowledge Management, 2003

2002
Using latent semantic analysis to find different names for the same entity in free text.
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.
Proceedings of the UAI '02, 2002

Learning k-Reversible Context-Free Grammars from Positive Structural Examples.
Proceedings of the Machine Learning, 2002

Estimating Grammar Parameters Using Bounded Memory.
Proceedings of the Grammatical Inference: Algorithms and Applications, 2002

PERUSE: An Unsupervised Algorithm for Finding Recurrig Patterns in Time Series.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Contentful Mental States for Robot Baby.
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.
Proceedings of the Sequence Learning - Paradigms, Algorithms, and Applications, 2001

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

Robot Baby 2001.
Proceedings of the Algorithmic Learning Theory, 12th International Conference, 2001

The Importance of Being Discrete: Learning Classes of Actions and Outcomes through Interaction.
Proceedings of the Advances in Artificial Intelligence, 2001

2000
Learning Planning Operators in Real-World, Partially Observable Environments.
Proceedings of the Fifth International Conference on Artificial Intelligence Planning Systems, 2000

Identifying qualitatively different outcomes of actions: gaining autonomy through learning.
Proceedings of the Fourth International Conference on Autonomous Agents, 2000

Toward natural language interfaces for robotic agents: grounding linguistic meaning in sensors.
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.
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.
Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

Identifying Distinctive Subsequences in Multivariate Time Series by Clustering.
Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

Efficient Mining of Statistical Dependencies.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Learned models for continuous planning.
Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999

Efficient mining of statistical dependencies.
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.
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.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

Learning Deterministic Finite Automaton with a Recurrent Neural Network.
Proceedings of the Grammatical Inference, 4th International Colloquium, 1998

1997
Cooperative information-gathering: a distributed problem-solving approach.
Software Engineering - IEE Proceedings, 1997

Building Simple Models: A Case Study with Decision Trees.
Proceedings of the Advances in Intelligent Data Analysis, 1997

The Effects of Training Set Size on Decision Tree Complexity.
Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997

Parallel and Distributed Search for Structure in Multivariate Time Series.
Proceedings of the Machine Learning: ECML-97, 1997

Neo: Learning Conceptual Knowledge by Sensorimotor Interaction with an Environment.
Proceedings of the First International Conference on Autonomous Agents, 1997

1996
Searching for Structure in Multiple Streams of Data.
Proceedings of the Machine Learning, 1996

Searching for Planning Operators with Context-Dependent and Probabilistic Effects.
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.
Proceedings of the Seventh International Conference on Tools with Artificial Intelligence, 1995

Detecting Complex Dependencies in Categorical Data.
Proceedings of the Learning from Data, 1995

1994
Toward a Plan Steering Agent: Experiments with Schedule Maintenance.
Proceedings of the Second International Conference on Artificial Intelligence Planning Systems, 1994


  Loading...