Stan Matwin

According to our database1, Stan Matwin authored at least 255 papers between 1977 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
Computational modelling and data-driven techniques for systems analysis.
J. Intell. Inf. Syst., 2019

deepBioWSD: effective deep neural word sense disambiguation of biomedical text data.
JAMIA, 2019

Multimodal Deep Learning for Mental Disorders Prediction from Audio Speech Samples.
CoRR, 2019

Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring.
CoRR, 2019

Marine Mammal Species Classification using Convolutional Neural Networks and a Novel Acoustic Representation.
CoRR, 2019

Efficient Neural Task Adaptation by Maximum Entropy Initialization.
CoRR, 2019

When a Tweet is Actually Sexist. A more Comprehensive Classification of Different Online Harassment Categories and The Challenges in NLP.
CoRR, 2019

Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection.
CoRR, 2019

How is Your Mood When Writing Sexist tweets? Detecting the Emotion Type and Intensity of Emotion Using Natural Language Processing Techniques.
CoRR, 2019

2-D Embedding of Large and High-dimensional Data with Minimal Memory and Computational Time Requirements.
CoRR, 2019

Task Adaptive Metric Space for Medium-Shot Medical Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Learning to Learn with Conditional Class Dependencies.
Proceedings of the 7th International Conference on Learning Representations, 2019

A Network Abstraction of Multi-vessel Trajectory Data for Detecting Anomalies.
Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference, 2019

VISTA: A visual analytics platform for semantic annotation of trajectories.
Proceedings of the Advances in Database Technology, 2019

On Feature Selection and Evaluation of Transportation Mode Prediction Strategies.
Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference, 2019

A Trajectory Segmentation Algorithm Based on Interpolation-based Change Detection Strategies.
Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference, 2019

Fast PMI-Based Word Embedding with Efficient Use of Unobserved Patterns.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
An Encryption Methodology for Enabling the Use of Data Warehouses on the Cloud.
IJDWM, 2018

Incremental anomaly detection using two-layer cluster-based structure.
Inf. Sci., 2018

Improving the Interpretability of Deep Neural Networks with Knowledge Distillation.
CoRR, 2018

On feature selection and evaluation of transportation mode prediction strategies.
CoRR, 2018

On the Importance of Attention in Meta-Learning for Few-Shot Text Classification.
CoRR, 2018

Predicting Crime Using Spatial Features.
CoRR, 2018

Predicting Transportation Modes of GPS Trajectories using Feature Engineering and Noise Removal.
CoRR, 2018

One Single Deep Bidirectional LSTM Network for Word Sense Disambiguation of Text Data.
CoRR, 2018

Interpretable Deep Convolutional Neural Networks via Meta-learning.
CoRR, 2018

DeepMiner at SemEval-2018 Task 1: Emotion Intensity Recognition Using Deep Representation Learning.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

Cost-Sensitive Learning: Preface.
Proceedings of the International Workshop on Cost-Sensitive Learning, 2018

2nd Workshop on Learning with Imbalanced Domains: Preface.
Proceedings of the Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2018

A Semi-Supervised Approach for the Semantic Segmentation of Trajectories.
Proceedings of the 19th IEEE International Conference on Mobile Data Management, 2018

Dimensionality Reduction and Visualization by Doubly Kernelized Unit Ball Embedding.
Proceedings of the Advances in Artificial Intelligence, 2018

Boosting Text Classification Performance on Sexist Tweets by Text Augmentation and Text Generation Using a Combination of Knowledge Graphs.
Proceedings of the 2nd Workshop on Abusive Language Online, 2018

Spectral Word Embedding with Negative Sampling.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
A Multi-dimensional Privacy-aware Evaluation Function in Automatic Feature Selection.
Transactions on Data Privacy, 2017

A fast and noise resilient cluster-based anomaly detection.
Pattern Anal. Appl., 2017

Special issue on discovery science.
Machine Learning, 2017

Studying Positive Speech on Twitter.
CoRR, 2017

Reflexive Regular Equivalence for Bipartite Data.
CoRR, 2017

TrajectoryNet: An Embedded GPS Trajectory Representation for Point-based Classification Using Recurrent Neural Networks.
CoRR, 2017

ANALYTiC: An Active Learning System for Trajectory Classification.
IEEE Computer Graphics and Applications, 2017

Active Learning with Visualization for Text Data.
Proceedings of the 2017 ACM Workshop on Exploratory Search and Interactive Data Analytics, 2017

Improving point-based AIS trajectory classification with partition-wise gated recurrent units.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Partition-wise Recurrent Neural Networks for Point-based AIS Trajectory Classification.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

Manifold Learning of Overcomplete Feature Spaces in a Multimodal Biometric Recognition System of Iris and Palmprint.
Proceedings of the 14th Conference on Computer and Robot Vision, 2017

Deep Multi-cultural Graph Representation Learning.
Proceedings of the Advances in Artificial Intelligence, 2017

2016
Personal Privacy Protection in Time of Big Data.
Proceedings of the Challenges in Computational Statistics and Data Mining, 2016

Ensembles of label noise filters: a ranking approach.
Data Min. Knowl. Discov., 2016

Topic Modelling and Event Identification from Twitter Textual Data.
CoRR, 2016

YOURPRIVACYPROTECTOR, A recommender system for privacy settings in social networks.
CoRR, 2016

simDEF: definition-based semantic similarity measure of gene ontology terms for functional similarity analysis of genes.
Bioinformatics, 2016

Fast Unsupervised Online Drift Detection Using Incremental Kolmogorov-Smirnov Test.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Nonlinear Dimensionality Reduction by Unit Ball Embedding (UBE) and Its Application to Image Clustering.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Using Classification in the Preprocessing Step on Wi-Fi Data as an Enabler of Physical Analytics.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Big Water Meets Big Data: Analytics of the AIS Ship Tracking Data.
Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

Identifying Fishing Activities from AIS Data with Conditional Random Fields.
Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

Fusing Iris, Palmprint and Fingerprint in a Multi-biometric Recognition System.
Proceedings of the 13th Conference on Computer and Robot Vision, 2016

Predicting annual average daily highway traffic from large data and very few measurements.
Proceedings of the 2016 IEEE International Conference on Big Data, 2016

Fishing Activity Detection from AIS Data Using Autoencoders.
Proceedings of the Advances in Artificial Intelligence, 2016

2015
A Review of Attribute Disclosure Control.
Proceedings of the Advanced Research in Data Privacy, 2015

Meta-MapReduce for scalable data mining.
J. Big Data, 2015

GRASP-UTS: an algorithm for unsupervised trajectory segmentation.
International Journal of Geographical Information Science, 2015

A review on particle swarm optimization algorithm and its variants to clustering high-dimensional data.
Artif. Intell. Rev., 2015

A framework for a privacy-aware feature selection evaluation measure.
Proceedings of the 13th Annual Conference on Privacy, Security and Trust, 2015

A spatio-temporal network model to represent and analyze LBSNs.
Proceedings of the 2015 IEEE International Conference on Pervasive Computing and Communication Workshops, 2015

From Argumentation Mining to Stance Classification.
Proceedings of the 2nd Workshop on Argumentation Mining, 2015

MUSETS: Diversity-Aware Web Query Suggestions for Shortening User Sessions.
Proceedings of the Foundations of Intelligent Systems - 22nd International Symposium, 2015

Anomaly detection in maritime data based on geometrical analysis of trajectories.
Proceedings of the 18th International Conference on Information Fusion, 2015

Ship movement anomaly detection using specialized distance measures.
Proceedings of the 18th International Conference on Information Fusion, 2015

Sanitization of Call Detail Records via Differentially-Private Bloom Filters.
Proceedings of the Data and Applications Security and Privacy XXIX, 2015

Data science workshop: experience driven analytics.
Proceedings of 25th Annual International Conference on Computer Science and Software Engineering, 2015

A Density-Penalized Distance Measure for Clustering.
Proceedings of the Advances in Artificial Intelligence, 2015

Privacy-aware Wrappers.
Proceedings of the Advances in Artificial Intelligence, 2015

Incremental Cluster Updating Using Gaussian Mixture Model.
Proceedings of the Advances in Artificial Intelligence, 2015

2014
Combining Binary Classifiers for a Multiclass Problem with Differential Privacy.
Trans. Data Privacy, 2014

Dream sentiment analysis using second order soft co-occurrences (SOSCO) and time course representations.
J. Intell. Inf. Syst., 2014

Towards Cloud Data Warehouses of Multivalued Encrypted Values.
JIDM, 2014

Learning from Imbalanced Data Using Ensemble Methods and Cluster-Based Undersampling.
Proceedings of the New Frontiers in Mining Complex Patterns - Third International Workshop, 2014

Cluster Summarization with Dense Region Detection.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2014

Arbitrary Shape Cluster Summarization with Gaussian Mixture Model.
Proceedings of the KDIR 2014 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Rome, Italy, 21, 2014

Traffic classification with on-line ensemble method.
Proceedings of the Global Information Infrastructure and Networking Symposium, 2014

Using Feature Selection to Improve the Utility of Differentially Private Data Publishing.
Proceedings of the 5th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN-2014)/ The 4th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH 2014)/ Affiliated Workshops, 2014

Efficient Private Information Retrieval for Geographical Aggregation.
Proceedings of the 5th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN-2014)/ The 4th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH 2014)/ Affiliated Workshops, 2014

Clustering-based Multidimensional Sequence Data Anonymization.
Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference (EDBT/ICDT 2014), 2014

Secure Multi-Party linear Regression.
Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference (EDBT/ICDT 2014), 2014

Processing OLAP Queries over an Encrypted Data Warehouse Stored in the Cloud.
Proceedings of the Data Warehousing and Knowledge Discovery, 2014

A non-technical XACML target editor for dynamic access control systems.
Proceedings of the 2014 International Conference on Collaboration Technologies and Systems, 2014

Automatic Target Recognition using multiple-aspect sonar images.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A multi-view two-level classification method for generalized multi-instance problems.
Proceedings of the 2014 IEEE International Conference on Big Data, 2014

Applying instance-weighted support vector machines to class imbalanced datasets.
Proceedings of the 2014 IEEE International Conference on Big Data, 2014

A distributed instance-weighted SVM algorithm on large-scale imbalanced datasets.
Proceedings of the 2014 IEEE International Conference on Big Data, 2014

Vessel route anomaly detection with Hadoop MapReduce.
Proceedings of the 2014 IEEE International Conference on Big Data, 2014

Knowledge-based clustering of ship trajectories using density-based approach.
Proceedings of the 2014 IEEE International Conference on Big Data, 2014

Privacy-aware filter-based feature selection.
Proceedings of the 2014 IEEE International Conference on Big Data, 2014

Ensemble of Multiple Kernel SVM Classifiers.
Proceedings of the Advances in Artificial Intelligence, 2014

Weka-SAT: A Hierarchical Context-Based Inference Engine to Enrich Trajectories with Semantics.
Proceedings of the Advances in Artificial Intelligence, 2014

Task Oriented Privacy Preserving Data Publishing Using Feature Selection.
Proceedings of the Advances in Artificial Intelligence, 2014

Challenges of Composing XACML Policies.
Proceedings of the Ninth International Conference on Availability, 2014

2013
Privacy-Preserving Data Mining Techniques: Survey and Challenges.
Proceedings of the Discrimination and Privacy in the Information Society, 2013

How Joe and Jane Tweet about Their Health: Mining for Personal Health Information on Twitter.
Proceedings of the Recent Advances in Natural Language Processing, 2013

Authorship Attribution in Health Forums.
Proceedings of the Recent Advances in Natural Language Processing, 2013

HALT: Hybrid anonymization of longitudinal transactions.
Proceedings of the Eleventh Annual International Conference on Privacy, Security and Trust, 2013

Inner Ensembles: Using Ensemble Methods Inside the Learning Algorithm.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Resampling and Cost-Sensitive Methods for Imbalanced Multi-instance Learning.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Network traffic classification using AdaBoost Dynamic.
Proceedings of the IEEE International Conference on Communications, 2013

Monitoring and recommending privacy settings in social networks.
Proceedings of the Joint 2013 EDBT/ICDT Conferences, 2013

Meta-learning for large scale machine learning with MapReduce.
Proceedings of the 2013 IEEE International Conference on Big Data, 2013

Cost-Sensitive Boosting Algorithms for Imbalanced Multi-instance Datasets.
Proceedings of the Advances in Artificial Intelligence, 2013

Improvements to Boosting with Data Streams.
Proceedings of the Advances in Artificial Intelligence, 2013

An Ensemble Method Based on AdaBoost and Meta-Learning.
Proceedings of the Advances in Artificial Intelligence, 2013

Detecting Health-Related Privacy Leaks in Social Networks Using Text Mining Tools.
Proceedings of the Advances in Artificial Intelligence, 2013

2012
Direct comparison between support vector machine and multinomial naive Bayes algorithms for medical abstract classification.
JAMIA, 2012

Improving multi-view semi-supervised learning with agreement-based sampling.
Intell. Data Anal., 2012

How to Extract Relevant Knowledge from Tweets?
Proceedings of the Information Search, Integration and Personalization, 2012

Data Clustering Using Hybrid Particle Swarm Optimization.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

Using SVM with Adaptively Asymmetric MisClassification Costs for Mine-Like Objects Detection.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Hierarchical Classification Approach to Emotion Recognition in Twitter.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

French presidential elections: what are the most efficient measures for tweets?
Proceedings of the first edition workshop on Politics, elections and data, 2012

Improvements to AdaBoost Dynamic.
Proceedings of the Advances in Artificial Intelligence, 2012

An Algorithm for Compression of XACML Access Control Policy Sets by Recursive Subsumption.
Proceedings of the Seventh International Conference on Availability, 2012

2011
Letter: Performance of SVM and Bayesian classifiers on the systematic review classification task.
JAMIA, 2011

Annotation concept synthesis and enrichment analysis: a logic-based approach to the interpretation of high-throughput experiments.
Bioinformatics, 2011

Exploiting the systematic review protocol for classification of medical abstracts.
Artificial Intelligence in Medicine, 2011

Advantages of a non-technical XACML notation in role-based models.
Proceedings of the Ninth Annual Conference on Privacy, Security and Trust, 2011

Smooth Receiver Operating Characteristics (smROC) Curves.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Large Scale Text Classification using Semisupervised Multinomial Naive Bayes.
Proceedings of the 28th International Conference on Machine Learning, 2011

Extending AdaBoost to Iteratively Vary Its Base Classifiers.
Proceedings of the Advances in Artificial Intelligence, 2011

Classifying Severely Imbalanced Data.
Proceedings of the Advances in Artificial Intelligence, 2011

2010
Data Privacy: From Technology to Economics.
Proceedings of the Advances in Machine Learning II, 2010

Privacy-Related Aspects and Techniques.
Proceedings of the Encyclopedia of Machine Learning, 2010

A Tree-Based Decision Model to Support Prediction of the Severity of Asthma Exacerbations in Children.
J. Medical Systems, 2010

A new algorithm for reducing the workload of experts in performing systematic reviews.
JAMIA, 2010

Classifying data from protected statistical datasets.
Computers & Security, 2010

Improving Co-training with Agreement-Based Sampling.
Proceedings of the Rough Sets and Current Trends in Computing, 2010

Classification of Dreams Using Machine Learning.
Proceedings of the ECAI 2010, 2010

Building Systematic Reviews Using Automatic Text Classification Techniques.
Proceedings of the COLING 2010, 2010

Improving Bayesian Learning Using Public Knowledge.
Proceedings of the Advances in Artificial Intelligence, 2010

Offensive Language Detection Using Multi-level Classification.
Proceedings of the Advances in Artificial Intelligence, 2010

Annotation Concept Synthesis and Enrichment Analysis.
Proceedings of the Advances in Artificial Intelligence, 2010

Robustness of Classifiers to Changing Environments.
Proceedings of the Advances in Artificial Intelligence, 2010

Strategies for Reducing Risks of Inconsistencies in Access Control Policies.
Proceedings of the ARES 2010, 2010

2009
A Non-technical User-Oriented Display Notation for XACML Conditions.
Proceedings of the E-Technologies: Innovation in an Open World, 2009

Image Analysis and Machine Learning: How to Foster a Stronger Connection?
Proceedings of the Image Analysis and Processing, 2009

Parameterized Contrast in Second Order Soft Co-occurrences: A Novel Text Representation Technique in Text Mining and Knowledge Extraction.
Proceedings of the ICDM Workshops 2009, 2009

Privacy and Data Mining: New Developments and Challenges.
Proceedings of the Extraction et gestion des connaissances (EGC'2009), 2009

A Cryptographic Solution for Private Distributed Simple Meeting Scheduling.
Proceedings of the Artificial Intelligence Research and Development, 2009

Active Learning with Automatic Soft Labeling for Induction of Decision Trees.
Proceedings of the Advances in Artificial Intelligence, 2009

Classifying Biomedical Abstracts Using Committees of Classifiers and Collective Ranking Techniques.
Proceedings of the Advances in Artificial Intelligence, 2009

Cost-Based Sampling of Individual Instances.
Proceedings of the Advances in Artificial Intelligence, 2009

2008
Privacy-Preserving Naive Bayesian Classification over Horizontally Partitioned Data.
Proceedings of the Data Mining: Foundations and Practice, 2008

How to Prevent Private Data from being Disclosed to a Malicious Attacker.
Proceedings of the Data Mining: Foundations and Practice, 2008

Proper Model Selection with Significance Test.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Generation of Globally Relevant Continuous Features for Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Discriminative parameter learning for Bayesian networks.
Proceedings of the Machine Learning, 2008

Engineering of a Clinical Decision Support Framework for the Point of Care Use.
Proceedings of the AMIA 2008, 2008

2007
Privacy-preserving collaborative association rule mining.
J. Network and Computer Applications, 2007

Privacy-Preserving Data Mining in Electronic Surveys.
I. J. Network Security, 2007

Privacy-preserving support vector machine classification.
IJIIDS, 2007

Privacy-preserving multi-party decision tree induction.
IJBIDM, 2007

Using Secondary Knowledge to Support Decision Tree Classification of Retrospective Clinical Data.
Proceedings of the Mining Complex Data, ECML/PKDD 2007 Third International Workshop, 2007

Formal correctness of conflict detection for firewalls.
Proceedings of the 2007 ACM workshop on Formal methods in security engineering, 2007

A Concept-Based Framework for Retrieving Evidence to Support Emergency Physician Decision Making at the Point of Care.
Proceedings of the Knowledge Management for Health Care Procedures, 2007

2006
Privacy-Preserving Collaborative Data Mining.
Proceedings of the Foundations and Novel Approaches in Data Mining, 2006

Parallelizing Feature Selection.
Algorithmica, 2006

Inferring and revising theories with confidence: analyzing bilingualism in the 1901 canadian census.
Applied Artificial Intelligence, 2006

Privacy-Oriented Collaborative Learning Systems.
Proceedings of the IEEE International Conference on Systems, 2006

A Crypto-Based Approach to Privacy-Preserving Collaborative Data Mining.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Evaluating Misclassifications in Imbalanced Data.
Proceedings of the Machine Learning: ECML 2006, 2006

Unsupervised Named-Entity Recognition: Generating Gazetteers and Resolving Ambiguity.
Proceedings of the Advances in Artificial Intelligence, 2006

Learning and Evaluation in the Presence of Class Hierarchies: Application to Text Categorization.
Proceedings of the Advances in Artificial Intelligence, 2006

Beyond the Bag of Words: A Text Representation for Sentence Selection.
Proceedings of the Advances in Artificial Intelligence, 2006

2005
Privacy Preserving K-nearest Neighbor Classification.
I. J. Network Security, 2005

Privacy in Data Mining Using Formal Methods.
Proceedings of the Typed Lambda Calculi and Applications, 7th International Conference, 2005

PEEP- Privacy Enforcement in Email Project.
Proceedings of the Third Annual Conference on Privacy, 2005

STochFS: A Framework for Combining Feature Selection Outcomes Through a Stochastic Process.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Private Mining of Association Rules.
Proceedings of the Intelligence and Security Informatics, 2005

Building k-nearest neighbor classifiers on vertically partitioned private data.
Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005

PEEP- An Information Extraction base approach for Privacy Protection in Email.
Proceedings of the CEAS 2005, 2005

Privacy-Sensitive Information Flow with JML.
Proceedings of the Automated Deduction, 2005

Privacy Compliance Enforcement in Email.
Proceedings of the Advances in Artificial Intelligence, 2005

2004
Guest Editorial.
Machine Learning, 2004

Filtering Multi-Instance Problems to Reduce Dimensionality in Relational Learning.
J. Intell. Inf. Syst., 2004

A formal approach to using data distributions for building causal polytree structures.
Inf. Sci., 2004

Predictive Software Models.
Proceedings of the 12th International Workshop on Software Technology and Engineering Practice (STEP 2004), 2004

Mining the Software Change Repository of a Legacy Telephony System.
Proceedings of the 1st International Workshop on Mining Software Repositories, 2004

Email Classification with Temporal Features.
Proceedings of the Intelligent Information Processing and Web Mining, 2004

Privacy-Preserving Collaborative Association Rule Mining.
Proceedings of the Fourth International Conference on Electronic Business, 2004

Bayesian Network Induction With Incomplete Private Data.
Proceedings of the Fourth International Conference on Electronic Business, 2004

2003
Mining the Maintenance History of a Legacy Software System.
Proceedings of the 19th International Conference on Software Maintenance (ICSM 2003), 2003

Applying data mining to software maintenance records.
Proceedings of the 2003 conference of the Centre for Advanced Studies on Collaborative Research, 2003

Case Authoring from Text and Historical Experiences.
Proceedings of the Advances in Artificial Intelligence, 2003

Enhancing Caching in Distributed Databases Using Intelligent Polytree Representations.
Proceedings of the Advances in Artificial Intelligence, 2003

2002
Privacy-Oriented Data Mining by Proof Checking.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

A Dynamic Approach to Dimensionality Reduction in Relational Learning.
Proceedings of the Foundations of Intelligent Systems, 13th International Symposium, 2002

Feature Subset Selection and Inductive Logic Programming.
Proceedings of the Machine Learning, 2002

Generalized Features: Their Application to Classification.
Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

2001
GENEX: a tool for testing in ILP.
Softw., Pract. Exper., 2001

Supporting Software Maintenance by Mining Software Update Records.
Proceedings of the 2001 International Conference on Software Maintenance, 2001

Email classification with co-training.
Proceedings of the 2001 conference of the Centre for Advanced Studies on Collaborative Research, 2001

2000
A Formalism for Building Causal Polytree Structures Using Data Distributions.
Proceedings of the Foundations of Intelligent Systems, 12th International Symposium, 2000

Learning Relational Clichés with Contextual LGG.
Proceedings of the Foundations of Intelligent Systems, 12th International Symposium, 2000

The Software for Cultures and the Cultures in Software.
Proceedings of the 8th European Conference on Information Systems, 2000

Supporting maintenance of legacy software with data mining techniques.
Proceedings of the 2000 conference of the Centre for Advanced Studies on Collaborative Research, 2000

Relational Learning with Transfer of Knowledge Between Domains.
Proceedings of the Advances in Artificial Intelligence, 2000

1999
Machine Learning Method for Software Quality Model Building.
Proceedings of the Foundations of Intelligent Systems, 11th International Symposium, 1999

Feature Engineering for Text Classification.
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

1998
Machine Learning for the Detection of Oil Spills in Satellite Radar Images.
Machine Learning, 1998

A Normalization Method for Contextual Data: Experience from a Large-Scale Application.
Proceedings of the Machine Learning: ECML-98, 1998

Text Classification Using WordNet Hypernyms.
Proceedings of the Workshop Usage of WordNet in Natural Language Processing Systems@ACL/COLING, 1998

Predicate Invention from a Few Examples.
Proceedings of the Advances in Artificial Intelligence, 1998

Experiments with Learning Parsing Heuristics.
Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, 1998

1997
Improving Image Classification by Combining Statistical, Case-Based and Model Based Prediction Methods.
Fundam. Inform., 1997

Addressing the Curse of Imbalanced Training Sets: One-Sided Selection.
Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997

Learning When Negative Examples Abound.
Proceedings of the Machine Learning: ECML-97, 1997

1996
Efficient Induction of Recursive Prolog Definitons.
Proceedings of the Advances in Artificial Intelligence, 1996

Planning and Learning in a Natural Resource Information System.
Proceedings of the Advances in Artificial Intelligence, 1996

1995
Machine Learning and Planning for Data Management in Forestry.
IEEE Expert, 1995

Guest Editors' Introduction: Environmental Applications of AI.
IEEE Expert, 1995

A WordNet-based Algorithm for Word Sense Disambiguation.
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

1994
Automating reuse of software for expert system analysis of remote sensing data.
IEEE Trans. Geoscience and Remote Sensing, 1994

Reuse of Modular Software with Automated Comment Analysis.
Proceedings of the International Conference on Software Maintenance, 1994

Learning Recursive Relations with Randomly Selected Small Training Sets.
Proceedings of the Machine Learning, 1994

Inverting Implication with Small Training Sets.
Proceedings of the Machine Learning: ECML-94, 1994

1993
A Case-Based Approach to Software Reuse.
J. Intell. Inf. Syst., 1993

Constructive Inductive Logic Programming.
Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993

Enhancing Reuse of Smalltalk Methods by Conceptual Clustering.
Proceedings of the Fifth International Conference on Tools with Artificial Intelligence, 1993

Using Qualitative Models to Guide Inductive Learning.
Proceedings of the Machine Learning, 1993

Learning Domain Theories using Abstract Beckground Knowledge.
Proceedings of the Machine Learning: ECML-93, 1993

1992
Reusing database queries in analogical domains.
Proceedings of the Seventh Knowledge-Based Software Engineering Conference, 1992

CAESAR: a system for case based software reuse.
Proceedings of the Seventh Knowledge-Based Software Engineering Conference, 1992

Sub-unification: A Tool for Efficient Induction of Recursive Programs.
Proceedings of the Ninth International Workshop on Machine Learning (ML 1992), 1992

1991
Genetic algorithms approach to a negotiation support system.
IEEE Trans. Systems, Man, and Cybernetics, 1991

Explanation-based Learning Helps Acquire Knowledge from Natural Language Texts.
Proceedings of the Methodologies for Intelligent Systems, 6th International Symposium, 1991

The Importance of Causal Structure and Facts in Evaluating Explanations.
Proceedings of the Eighth International Workshop (ML91), 1991

Integrating EBL with automatic Text Analysis.
Proceedings of the Machine Learning, 1991

1990
LEW: Learning by Watching.
IEEE Trans. Pattern Anal. Mach. Intell., 1990

An Application of Explanation-Based Learning to Protocol Conformance Testing.
IEEE Expert, 1990

Explanation-Based Learning with Incomplete Theories: A Three-step Approach.
Proceedings of the Machine Learning, 1990

1989
Negoplan: an expert system shell for negotiation support.
IEEE Expert, 1989

Knowledge acquisition by incremental learning from problem-solution pairs.
Computational Intelligence, 1989

NEGOPLAN: An Inference-Based Negotiation Support Tool.
Proceedings of the Information Processing 89, Proceedings of the IFIP 11th World Computer Congress, San Francisco, USA, August 28, 1989

Learning Procedural Knowledge in the EBG Context.
Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

1988
Learning by Watching: An Incremental Machine Learning Method that Acquires Rules by Conceptual Clustering.
Proceedings of the Methodologies for Intelligent Systems, 1988

Representing and Acquiring Imprecise and Context-dependent Concepts in Knowledge-Based Systems.
Proceedings of the Methodologies for Intelligent Systems, 1988

Measuring Quality of Concept Descriptions.
Proceedings of the Third European Working Session on Learning, 1988

1987
A Logic-Based Tools for Negotiation Support.
Proceedings of the 1987 Symposium on Logic Programming, San Francisco, California, USA, August 31, 1987

1986
Copying of Dynamic Structures in a Pascal Environment.
Softw., Pract. Exper., 1986

1985
Intelligent Backtracking in Plan-Based Deduction.
IEEE Trans. Pattern Anal. Mach. Intell., 1985

A Logic-Based Knowledge Source System for Natural Language Document.
Data Knowl. Eng., 1985

Prograph: A Preliminary Report.
Comput. Lang., 1985

1984
Implementation Strategies for Plan-Based Deduction.
Proceedings of the 7th International Conference on Automated Deduction, 1984

1983
Intelligent Backtracking for Automated Deduction in FOL.
Proceedings of the Logic Programming Workshop '83, Praia da Falésia, Algarve, Portugal, 26 June, 1983

1982
Exponential Improvement of Efficient Backtracking: A Strategy for Plan-Based Deduction.
Proceedings of the 6th Conference on Automated Deduction, 1982

Exponential Improvement of Efficient Backtracking: data Structure and Implementation.
Proceedings of the 6th Conference on Automated Deduction, 1982

1977
An Experimental Investigation of Geschke's Method of Global Program Optimization.
Inf. Process. Lett., 1977

On the Completeness of a Set of Transformations Optimizing Linear Programs.
Inf. Process. Lett., 1977


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