Stan Matwin

Stan Matwin, David G. Goodenough, A. S. Bhogal, 1997, IGARSS'97. 1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings. Remote Sensing - A Scientific Vision for Sustainable Development.

Inverting Implication with Small Training Sets

Stan Matwin, David W. Aha, Charles X. Ling, 1994, ECML.

Building navigation networks from multi-vessel trajectory data

Stan Matwin, Mohammad Etemad, Iraklis Varlamis, 2020, GeoInformatica.

Predicting Transportation Modes of GPS Trajectories using Feature Engineering and Noise Removal

Stan Matwin, Amílcar Soares Júnior, Mohammad Etemad, 2018, Canadian AI.

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Stan Matwin, Shipeng Yu, Faisal Farooq, 2017, KDD.

Detecting Health-Related Privacy Leaks in Social Networks Using Text Mining Tools

Stan Matwin, Marina Sokolova, Kambiz Ghazinour, 2013, Canadian Conference on AI.

Modelling Negotiation Strategies with Two Interacting Expert Systems 1

Stan Matwin, Stan Szpakowicz, Zbig Koperczak, 1992 .

A Dynamic Approach to Dimensionality Reduction in Relational Learning

Stan Matwin, Érick Alphonse, S. Matwin, 2002, ISMIS.

Applying data mining to software maintenance records

Stan Matwin, Timothy Lethbridge, Jelber Sayyad-Shirabad, 2003, CASCON.

Machine learning techniques in knowledge acquisition from text

Stan Matwin, Stan Szpakowicz, S. Matwin, 1992 .

A Logic-Based Knowledge Source System for Natural Language Document

Stan Matwin, Stan Szpakowicz, Franz Oppacher, 1985, Data Knowl. Eng..

Learning Flexible Concepts Through a Search for Simpler but Still Accurate Descriptions

Stan Matwin, Ryszard S. Michalski, Francesco Bergadano, 1989 .

Fishing Activity Detection from AIS Data Using Autoencoders

Stan Matwin, Daniel L. Silver, Xiang Jiang, 2016, Canadian Conference on AI.

Engineering of a Clinical Decision Support Framework for the Point of Care Use

Stan Matwin, Dympna O'Sullivan, Szymon Wilk, 2008, AMIA.

Prograph: A Preliminary Report

Stan Matwin, Tomasz Pietrzykowski, T. Pietrzykowski, 1985, Comput. Lang..

Machine Learning and Plrrrlning for Dam Management in Foreshy

Stan Matwin, David G. Goodenough, D. Charlebois, 1995 .

Privacy-preserving support vector machine classification

Stan Matwin, Justin Zhijun Zhan, 2007, Int. J. Intell. Inf. Database Syst..

Privacy-Preserving Naive Bayesian Classification over Horizontally Partitioned Data

Stan Matwin, Justin Zhijun Zhan, LiWu Chang, 2008, Data Mining: Foundations and Practice.

HALT: Hybrid anonymization of longitudinal transactions

Stan Matwin, Morvarid Sehatkar, S. Matwin, 2013, 2013 Eleventh Annual Conference on Privacy, Security and Trust.

Reuse of Plans As a Tool for Development of remote Sensing Expert Systems

Stan Matwin, David G. Goodenough, D. Charleboiss, 1992, [Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium.

Supporting maintenance of legacy software with data mining techniques

Stan Matwin, Timothy Lethbridge, Jelber Sayyad-Shirabad, 2000, CASCON.

A framework for a privacy-aware feature selection evaluation measure

Stan Matwin, Marina Sokolova, Yasser Jafer, 2015, 2015 13th Annual Conference on Privacy, Security and Trust (PST).

WORKSHOP 1: Predictive Models of Software Systems

Stan Matwin, Timothy C. Lethbridge, L. Tahvildari, 2004 .

Knowledge-based imaging spectrometer analysis and GIS for forestry

Stan Matwin, David G. Goodenough, D. Charlebois, 1995, 1995 International Geoscience and Remote Sensing Symposium, IGARSS '95. Quantitative Remote Sensing for Science and Applications.

Advantages of a non-technical XACML notation in role-based models

Stan Matwin, Amy P. Felty, Bernard Stepien, 2011, 2011 Ninth Annual International Conference on Privacy, Security and Trust.

Improvements to Boosting with Data Streams

Stan Matwin, Erico N. de Souza, 2013, Canadian Conference on AI.

Learning Two-Tiered Descriptions of Flexible Concepts: A Method Employing Examples of Varied Typicality and A Two-staged Construction of the Base Concept Representation Part II: Algorithms and Experiments

Stan Matwin, Ryszard S. Michalski, Francesco Bergadano, 1988 .

Proper Model Selection with Significance Test

Stan Matwin, Charles X. Ling, Jin Huang, 2008, ECML/PKDD.

Efficient Induction of Recursive Prolog Definitons

Stan Matwin, Riverson Rios, S. Matwin, 1996, Canadian Conference on AI.

Automated Approach To Classification Of Mine-Like Objects Using Multiple-Aspect Sonar Images

Stan Matwin, Nathalie Japkowicz, Xiaoguang Wang, 2014, J. Artif. Intell. Soft Comput. Res..

Fast PMI-Based Word Embedding with Efficient Use of Unobserved Patterns

Stan Matwin, Behrouz Haji Soleimani, 2019, AAAI.

Intelligent data fusion for environmental monitoring

Stan Matwin, David G. Goodenough, D. Charlebois, 1995, 1995 International Geoscience and Remote Sensing Symposium, IGARSS '95. Quantitative Remote Sensing for Science and Applications.

Identifying fishing activities from AIS data with Conditional Random Fields

Stan Matwin, Ronald Pelot, Xiang Jiang, 2016, 2016 Federated Conference on Computer Science and Information Systems (FedCSIS).

GENEX: a tool for testing in ILP

Stan Matwin, Johanne Morin, 2001, Softw. Pract. Exp..

Sanitization of Call Detail Records via Differentially-Private Bloom Filters

Stan Matwin, Sébastien Gambs, Mohammad Alaggan, 2015, DBSec.

Constructive Inductive Logic Programming

Stan Matwin, Charles X. Ling, Stephane Lapointe, 1993, IJCAI.

Foundations of Intelligent Systems, 17th International Symposium, ISMIS 2008, Toronto, Canada, May 20-23, 2008, Proceedings

Stan Matwin, Dominik Slezak, Zbigniew W. Ras, 2008, ISMIS.

A Normalization Method for Contextual Data: Experience from a Large-Scale Application

Stan Matwin, Sylvain Létourneau, Fazel Famili, 1998, ECML.

CRISIS: Integrating AIS and Ocean Data Streams Using Semantic Web Standards for Event Detection

Stan Matwin, Anthony W. Isenor, Sean Webb, 2019, 2019 International Conference on Military Communications and Information Systems (ICMCIS).

A fast noise resilient anomaly detection using GMM-based collective labelling

Stan Matwin, Bijan Raahemi, Mahdi Mohammadi, 2015, 2015 Science and Information Conference (SAI).

Private Mining of Association Rules

Stan Matwin, Justin Zhijun Zhan, LiWu Chang, 2005, ISI.

Mining The Saudi Twittersphere for Expressive Support Towards Women

Stan Matwin, Hossam Ali-Hassan, Eman Alyami, 2020, 2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4).

Strategies for Reducing Risks of Inconsistencies in Access Control Policies

Stan Matwin, Amy P. Felty, Bernard Stepien, 2010, 2010 International Conference on Availability, Reliability and Security.

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

Stan Matwin, Marcel Turcotte, Mikhail Jiline, 2010, Bioinform..

A General Criterion for Measuring Quality of Concept Descriptions

Stan Matwin, Ryszard S. Michalski, Francesco Bergadano, 1988 .

Automating reuse of software for expert system analysis of remote sensing data

Stan Matwin, David G. Goodenough, Daniel Charlebois, 1994, IEEE Trans. Geosci. Remote. Sens..

Dimensionality Reduction and Visualization by Doubly Kernelized Unit Ball Embedding

Stan Matwin, Behrouz Haji Soleimani, 2018, Canadian Conference on AI.

Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning pdf

Stan Matwin, Jimeng Sun, Shenda Hong, 2020, IEEE transactions on pattern analysis and machine intelligence.

A Multi-Party Scheme for Privacy : Preserving Clustering

Stan Matwin, L. Chang, J. Zhan, 2006 .

A Trajectory Segmentation Algorithm Based on Interpolation-based Change Detection Strategies

Stan Matwin, Amílcar Soares Júnior, Mohammad Etemad, 2019, EDBT/ICDT Workshops.

Traffic classification with on-line ensemble method

Stan Matwin, Stenio F. L. Fernandes, Erico N. de Souza, 2014, 2014 Global Information Infrastructure and Networking Symposium (GIIS).

Guest Editors' Introduction: Environmental Applications of AI

Stan Matwin, Cindy L. Mason, 1995, IEEE Expert.

Predicate Invention from a Few Examples

Stan Matwin, Riverson Rios, S. Matwin, 1998, Canadian Conference on AI.

Nonlinear Dimensionality Reduction by Unit Ball Embedding (UBE) and Its Application to Image Clustering

Stan Matwin, Behrouz Haji Soleimani, S. Matwin, 2016, 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA).

Dream sentiment analysis using second order soft co-occurrences (SOSCO) and time course representations

Stan Matwin, Amir Hossein Razavi, Joseph De Koninck, 2014, Journal of Intelligent Information Systems.

Computational modelling and data-driven techniques for systems analysis

Stan Matwin, Roberto Trasarti, Luca Tesei, 2019, Journal of Intelligent Information Systems.

MUSETS: Diversity-Aware Web Query Suggestions for Shortening User Sessions

Stan Matwin, Fabrizio Silvestri, Marcin Sydow, 2015, ISMIS.

Learning by Watching: An Incremental Machine Learning Method that Acquires Rules by Conceptual Clustering

Stan Matwin, Franz Oppacher, F. Oppacher, 1988, ISMIS.

Enhancing Caching in Distributed Databases Using Intelligent Polytree Representations

Stan Matwin, B. John Oommen, Ouerd Messaouda, 2003, Canadian Conference on AI.

Special issue on discovery science

Stan Matwin, Nathalie Japkowicz, 2016, Machine Learning.

Functional Annotation of Genes Using Hierarchical Text Categorization

Stan Matwin, Svetlana Kiritchenko, Fazel Famili, 2005 .

Beyond the Bag of Words: A Text Representation for Sentence Selection

Stan Matwin, Maria Fernanda Caropreso, S. Matwin, 2006, Canadian Conference on AI.

A Formalism for Building Causal Polytree Structures Using Data Distributions

Stan Matwin, B. John Oommen, M. Ouerd, 2000, ISMIS.

Network traffic classification using AdaBoost Dynamic

Stan Matwin, Stenio F. L. Fernandes, Erico N. de Souza, 2013, 2013 IEEE International Conference on Communications Workshops (ICC).

Improving Co-training with Agreement-Based Sampling

Stan Matwin, Jelber Sayyad-Shirabad, Jin Huang, 2010, RSCTC.

LEW: Learning by Watching

Stan Matwin, F. Oppacher, P. Constant, 1990, IEEE Trans. Pattern Anal. Mach. Intell..

Advances in Artificial Intelligence

Stan Matwin, Eleni Stroulia, S. Matwin, 2001, Lecture Notes in Computer Science.

Hierarchical Classification Approach to Emotion Recognition in Twitter

Stan Matwin, Ahmed Ali Abdalla Esmin, Roberto L. de Oliveira, 2012, 2012 11th International Conference on Machine Learning and Applications.

Privacy-preserving multi-party decision tree induction

Stan Matwin, Justin Zhijun Zhan, LiWu Chang, 2007, Int. J. Bus. Intell. Data Min..

deepBioWSD: effective deep neural word sense disambiguation of biomedical text data

Stan Matwin, Marina Sokolova, Ahmad Pesaranghader, 2019, J. Am. Medical Informatics Assoc..

Feature Engineering for Text Classification

Stan Matwin, Sam Scott, S. Matwin, 1999, ICML.

Learning to Learn with Conditional Class Dependencies

Stan Matwin, Mohammad Havaei, Nicolas Chapados, 2018, ICLR.

Incremental Cluster Updating Using Gaussian Mixture Model

Stan Matwin, Bijan Raahemi, Mahdi Mohammadi, 2015, Canadian Conference on AI.

Task Oriented Privacy Preserving Data Publishing Using Feature Selection

Stan Matwin, Marina Sokolova, Yasser Jafer, 2014, Canadian Conference on AI.

Improvements to AdaBoost Dynamic

Stan Matwin, Erico N. de Souza, 2012, Canadian Conference on AI.

Stan Matwin (Draft Profile)

Stan Matwin, 2013 .

Letter: Performance of SVM and Bayesian classifiers on the systematic review classification task

Stan Matwin, Oana Frunza, Diana Inkpen, 2011, J. Am. Medical Informatics Assoc..

Guest Editorial

Stan Matwin, S. Matwin, 2004, Machine-mediated learning.

Ship movement anomaly detection using specialized distance measures

Stan Matwin, Bo Liu, Erico N. de Souza, 2015, 2015 18th International Conference on Information Fusion (Fusion).

5. A study of personal health information posted online: using machine learning to validate the importance of the terms detected by MedDRA and SNOMED in revealing health information in social media

Stan Matwin, Marina Sokolova, Kambiz Ghazinour, 2014 .

A spatio-temporal network model to represent and analyze LBSNs

Stan Matwin, Valéria Cesário Times, B. N. Moreno, 2015, 2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops).

Meta-MapReduce for scalable data mining

Stan Matwin, Xuan Liu, Xiaoguang Wang, 2015, Journal of Big Data.

Reusing database queries in analogical domains

Stan Matwin, Hamid Ould-Brahim, S. Matwin, 1992, Proceedings of the Seventh Knowledge-Based Software Engineering Conference.

Knowledge-based imaging spectrometer analysis

Stan Matwin, David G. Goodenough, D. Charlebois, 1995, IEEE Pacific Rim Conference on Communications, Computers, and Signal Processing. Proceedings.

Email Classification with Temporal Features

Stan Matwin, Svetlana Kiritchenko, Suhayya Abu-Hakima, 2004, Intelligent Information Systems.

Weka-SAT: A Hierarchical Context-Based Inference Engine to Enrich Trajectories with Semantics

Stan Matwin, Valéria Cesário Times, Amílcar Soares Júnior, 2014, Canadian Conference on AI.

Challenges of Composing XACML Policies

Stan Matwin, Amy P. Felty, Bernard Stepien, 2014, 2014 Ninth International Conference on Availability, Reliability and Security.

Offensive Language Detection Using Multi-level Classification

Stan Matwin, Diana Inkpen, Amir Hossein Razavi, 2010, Canadian Conference on AI.

A Semi-Supervised Approach for the Semantic Segmentation of Trajectories

Stan Matwin, Valéria Cesário Times, Chiara Renso, 2018, 2018 19th IEEE International Conference on Mobile Data Management (MDM).

Intelligent Backtracking for Automated Deduction in FOL

Stan Matwin, Tomasz Pietrzykowski, 1983, Logic Programming Workshop.

Intelligent fusion and analysis of AIRSAR data for SEIDAM

Stan Matwin, David G. Goodenough, D. Charlebois, 1996, IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium.

Evaluating Misclassifications in Imbalanced Data

Stan Matwin, Nathalie Japkowicz, William Elazmeh, 2006, ECML.

From Argumentation Mining to Stance Classification

Stan Matwin, Diana Inkpen, Parinaz Sobhani, 2015, ArgMining@HLT-NAACL.

Efficient Private Information Retrieval for Geographical Aggregation

Stan Matwin, Khaled El Emam, Fida Kamal Dankar, 2014, EUSPN/ICTH.

Sub-unification: A Tool for Efficient Induction of Recursive Programs

Stan Matwin, Stephane Lapointe, S. Matwin, 1992, ML.

Improving the Interpretability of Deep Neural Networks with Knowledge Distillation

Stan Matwin, Xuan Liu, Xiaoguang Wang, 2018, 2018 IEEE International Conference on Data Mining Workshops (ICDMW).

A Concept-Based Framework for Retrieving Evidence to Support Emergency Physician Decision Making at the Point of Care

Stan Matwin, Dympna O'Sullivan, Szymon Wilk, 2007, K4CARE.

11th Knowledge Discovery in Databases: PKDD 2007

Stan Matwin, Andrzej Skowron, Dunja Mladenic, 2007 .

Heterogeneous Intelligent Systems: Integration and Synchronisation of Concurrent Processes

Stan Matwin, Marek B. Zaremba, W. Fraczak, 1998 .

Improving Fishing Pattern Detection from Satellite AIS Using Data Mining and Machine Learning

Stan Matwin, Kristina Boerder, Boris Worm, 2016, PloS one.

Interpretable Deep Convolutional Neural Networks via Meta-learning

Stan Matwin, Xuan Liu, Xiaoguang Wang, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Sanitization of Call Detail Records via Differentially-private Summaries pdf

Stan Matwin, Mohammad Alaggan, Mohammed Tuhin, 2014, ArXiv.

Automatic Target Recognition using multiple-aspect sonar images

Stan Matwin, Xuan Liu, Xiaoguang Wang, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Using Classification in the Preprocessing Step on Wi-Fi Data as an Enabler of Physical Analytics

Stan Matwin, Hossein Sarshar, S. Matwin, 2016, 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA).

Artificial Intelligence for Emotion-Semantic Trending and People Emotion Detection During COVID-19 Social Isolation pdf

Stan Matwin, Rita Orji, Yongli Wang, 2021, medRxiv.

Resampling and Cost-Sensitive Methods for Imbalanced Multi-instance Learning

Stan Matwin, Xuan Liu, Xiaoguang Wang, 2013, 2013 IEEE 13th International Conference on Data Mining Workshops.

Challenges in Computational Statistics and Data Mining

Stan Matwin, Jan Mielniczuk, J. Mielniczuk, 2015, Challenges in Computational Statistics and Data Mining.

Incremental anomaly detection using two-layer cluster-based structure

Stan Matwin, Bijan Raahemi, Mahdi Mohammadi, 2018, Inf. Sci..

Active Learning with Automatic Soft Labeling for Induction of Decision Trees

Stan Matwin, Jelber Sayyad-Shirabad, Jin Huang, 2009, Canadian Conference on AI.

Ensembles of label noise filters: a ranking approach

Stan Matwin, André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena, 2016, Data Mining and Knowledge Discovery.

Boosting Text Classification Performance on Sexist Tweets by Text Augmentation and Text Generation Using a Combination of Knowledge Graphs

Stan Matwin, Sima Sharifirad, Borna Jafarpour, 2018, ALW.

Performance of a Deep Neural Network at Detecting North Atlantic Right Whale Upcalls

Stan Matwin, Nathalie Roy, Yvan Simard, 2020, The Journal of the Acoustical Society of America.

Mining the Software Change Repository of a Legacy Telephony System

Stan Matwin, Timothy Lethbridge, Jelber Sayyad-Shirabad, 2004, MSR.

Combining Binary Classifiers for a Multiclass Problem with Differential Privacy

Stan Matwin, Vera Sazonova, S. Matwin, 2014, Trans. Data Priv..

Using SVM with Adaptively Asymmetric MisClassification Costs for Mine-Like Objects Detection

Stan Matwin, Xuan Liu, Xiaoguang Wang, 2012, 2012 11th International Conference on Machine Learning and Applications.

Privacy-Related Aspects and Techniques

Stan Matwin, 2017, Encyclopedia of Machine Learning and Data Mining.

Cost-Sensitive Boosting Algorithms for Imbalanced Multi-instance Datasets

Stan Matwin, Xuan Liu, Xiaoguang Wang, 2013, Canadian Conference on AI.

Privacy-Oriented Collaborative Learning Systems

Stan Matwin, Justin Zhijun Zhan, 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

Filtering Multi-Instance Problems to Reduce Dimensionality in Relational Learning

Stan Matwin, Érick Alphonse, S. Matwin, 2004, Journal of Intelligent Information Systems.

Privacy and Data Mining: New Developments and Challenges

Stan Matwin, 2009, EGC.

Classification of Dreams Using Machine Learning

Stan Matwin, Amir Hossein Razavi, Joseph De Koninck, 2010, ECAI.

Learning Flexible Concepts Using a Two-Tiered Representation

Stan Matwin, Ryszard S. Michalski, Jianping Zhang, 1993 .

Using Feature Selection to Improve the Utility of Differentially Private Data Publishing

Stan Matwin, Marina Sokolova, Yasser Jafer, 2014, EUSPN/ICTH.

Predictive software models

Stan Matwin, Eyke Hüllermeier, Johannes Fürnkranz, 2004, Conference on Semantics in Text Processing.

Learning When Negative Examples Abound

Stan Matwin, Robert C. Holte, Miroslav Kubat, 1997, ECML.

My AI or Five Theses About Artificial Intelligence After Its 50th Birthday

Stan Matwin, S. Matwin, 2007 .

Data Privacy: From Technology to Economics

Stan Matwin, Tomasz Szapiro, S. Matwin, 2010, Advances in Machine Learning II.

Knowledge acquisition by incremental learning from problem‐solution pairs

Stan Matwin, Franz Oppacher, Patrick Constant, 1989, Comput. Intell..

Privacy in Data Mining Using Formal Methods

Stan Matwin, Amy P. Felty, Venanzio Capretta, 2005, TLCA.

Cluster Summarization with Dense Region Detection

Stan Matwin, Bijan Raahemi, Mahdi Mohammadi, 2014, IC3K.

Using Qualitative Models to Guide Inductive Learning

Stan Matwin, Peter Clark, 1993, ICML.

Large Scale Text Classification using Semisupervised Multinomial Naive Bayes

Stan Matwin, Jiang Su, Jelber Sayyad Shirab, 2011, ICML.

A learner-independent evaluation of the usefulness of statistical phrases for automated text categorization

Stan Matwin, Fabrizio Sebastiani, Maria Fernanda Caropreso, 2001 .

A formal approach to using data distributions for building causal polytree structures

Stan Matwin, B. John Oommen, M. Ouerd, 2004, Inf. Sci..

Active Learning with Visualization for Text Data

Stan Matwin, Rosane Minghim, Lulu Huang, 2017, ESIDA@IUI.

Spectral Word Embedding with Negative Sampling

Stan Matwin, Behrouz Haji Soleimani, S. Matwin, 2018, AAAI.

Correction: Improving Fishing Pattern Detection from Satellite AIS Using Data Mining and Machine Learning

Stan Matwin, Kristina Boerder, Boris Worm, 2016, PloS one.

A Multi-dimensional Privacy-aware Evaluation Function in Automatic Feature Selection

Stan Matwin, Marina Sokolova, Yasser Jafer, 2017, Trans. Data Priv..

Privacy-Oriented Data Mining by Proof Checking

Stan Matwin, Amy P. Felty, 2002, PKDD.

Building Systematic Reviews Using Automatic Text Classification Techniques

Stan Matwin, Diana Inkpen, Oana Frunza, 2010, COLING.

PEEP- An Information Extraction base approach for Privacy Protection in Email

Stan Matwin, Nathalie Japkowicz, Yimin Ma, 2005, CEAS.

Cost-Based Sampling of Individual Instances

Stan Matwin, Peter A. Flach, Nathalie Japkowicz, 2009, Canadian Conference on AI.

A Crypto-Based Approach to Privacy-Preserving Collaborative Data Mining

Stan Matwin, Justin Zhijun Zhan, 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).

Discovery Science: 23rd International Conference, DS 2020, Thessaloniki, Greece, October 19–21, 2020, Proceedings

Stan Matwin, Grigorios Tsoumakas, Annalisa Appice, 2020, DS.

Improving multi-view semi-supervised learning with agreement-based sampling

Stan Matwin, Jelber Sayyad-Shirabad, Jin Huang, 2012, Intell. Data Anal..

Learning and Evaluation in the Presence of Class Hierarchies: Application to Text Categorization

Stan Matwin, Richard Nock, Svetlana Kiritchenko, 2006, Canadian AI.

Arbitrary Shape Cluster Summarization with Gaussian Mixture Model

Stan Matwin, Bijan Raahemi, Mahdi Mohammadi, 2014, KDIR.

How to Prevent Private Data from being Disclosed to a Malicious Attacker

Stan Matwin, Justin Zhijun Zhan, LiWu Chang, 2008, Data Mining: Foundations and Practice.

Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases

Stan Matwin, Dunja Mladenic, Joost N. Kok, 2007 .

Towards Cloud Data Warehouses of Multivalued Encrypted Values

Stan Matwin, Valéria Cesário Times, Claudivan Cruz Lopes, 2014, J. Inf. Data Manag..

Privacy-Preserving Data Mining in Electronic Surveys

Stan Matwin, Justin Zhijun Zhan, 2004, Int. J. Netw. Secur..

Email classification with co-training

Stan Matwin, Svetlana Kiritchenko, S. Matwin, 2011, CASCON.

INFERRING AND REVISING THEORIES WITH CONFIDENCE: ANALYZING BILINGUALISM IN THE 1901 CANADIAN CENSUS

Stan Matwin, Chris Drummond, Chad Gaffield, 2006, Appl. Artif. Intell..

SemEval-2020 Task 5: Counterfactual Recognition pdf

Stan Matwin, Huasha Zhao, Qiong Zhang, 2020, SEMEVAL.

Privacy-Preserving Electronic Voting

Stan Matwin, Justin Zhan, LiWu Chang, 2004 .

Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning pdf

Stan Matwin, Lucas May Petry, Amílcar Soares Júnior, 2020, Canadian AI.

18th European Conference on Machine Learning

Stan Matwin, Andrzej Skowron, Dunja Mladenic, 2007 .

Enhancing reuse of Smalltalk methods by conceptual clustering

Stan Matwin, Franz Oppacher, R. Jetzelsperger, 1993, Proceedings of 1993 IEEE Conference on Tools with Al (TAI-93).

Privacy-Preserving Collaborative Sequential Pattern Mining

Stan Matwin, LiWu Chang, Justin Zhan, 2004 .

Privacy-Preserving Decision Tree Classiflcation Over Horizontally Partitioned Data

Stan Matwin, Justin Zhan, 2005 .

Privacy-Related Aspects and Techniques

Stan Matwin, S. Matwin, 2010, Encyclopedia of Machine Learning.

Privacy-aware filter-based feature selection

Stan Matwin, Marina Sokolova, Yasser Jafer, 2014, 2014 IEEE International Conference on Big Data (Big Data).

Task Adaptive Metric Space for Medium-Shot Medical Image Classification

Stan Matwin, Mohammad Havaei, Xiang Jiang, 2019, MICCAI.

Predictive software models

Stan Matwin, Timothy Lethbridge, Jelber Sayyad-Shirabad, 2004, 12 International Workshop on Software Technology and Engineering Practice (STEP'04).

A fast and noise resilient cluster-based anomaly detection

Stan Matwin, Bijan Raahemi, Mahdi Mohammadi, 2017, Pattern Analysis and Applications.

From Text to Horn Clauses: Combining Linguistic Analysis and Machine Learning

Stan Matwin, Sylvain Delisle, Stan Szpakowicz, 1999 .

Relational Learning with Transfer of Knowledge Between Domains

Stan Matwin, Johanne Morin, 2000, Canadian Conference on AI.

Explanation-Based Learning with Incomplete Theories: A Three-step Approach

Stan Matwin, Jean Genest, Boris Plante, 1990, ML.

Feature Subset Selection and Inductive Logic Programming

Stan Matwin, Érick Alphonse, S. Matwin, 2002, ICML.

Authorship Attribution in Health Forums

Stan Matwin, Khaled El Emam, Victoria Bobicev, 2013, RANLP.

GRASP-UTS: an algorithm for unsupervised trajectory segmentation

Stan Matwin, Valéria Cesário Times, Amílcar Soares Júnior, 2015, Int. J. Geogr. Inf. Sci..

Experiments with Learning Parsing Heuristics

Stan Matwin, Sylvain Delisle, Sylvain Létourneau, 1998, COLING-ACL.

One Single Deep Bidirectional LSTM Network for Word Sense Disambiguation of Text Data

Stan Matwin, Marina Sokolova, Ahmad Pesaranghader, 2018, Canadian Conference on AI.

PEEP- Privacy Enforcement in Email Project

Stan Matwin, Nathalie Japkowicz, William Elazmeh, 2005, PST.

Cost-Sensitive Learning: Preface

Stan Matwin, Luís Torgo, Nuno Moniz, 2018, COST@SDM.

Data generation for testing DAG-structured Bayesian networks

Stan Matwin, B. John Oommen, Ouerd Messaouda, 2002, IEEE International Conference on Systems, Man and Cybernetics.

Predicting Crime Using Spatial Features

Stan Matwin, Fateha Khanam Bappee, Amílcar Soares Júnior, 2018, Canadian AI.

Vessel route anomaly detection with Hadoop MapReduce

Stan Matwin, Xuan Liu, Bo Liu, 2014, 2014 IEEE International Conference on Big Data (Big Data).

Hierarchical Text Categorization as a Tool of Associating Genes with Gene Ontology Codes

Stan Matwin, Svetlana Kiritchenko, A. Fazel Famili, 2004 .

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

Stan Matwin, Marcel Turcotte, Mikhail Jiline, 2011, Bioinform..

Environmental Applications of AI [Guest Editor's Introduction]

Stan Matwin, Cindy L. Mason, C. L. Mason, 1995 .

A Generic Architecture for Knowledge Acquisition Tools in Cardiology

Stan Matwin, Káthia Marçal de Oliveira, Guilherme Horta Travassos, 2000 .

Using the Smooth Receiver Operating Curve (ROC) Method for Evaluation and Decision Making in Biometric Systems

Stan Matwin, Eric Granger, Dmitry Gorodnichy, 2014 .

3D Face Generation Tool Candide for Better Face Matching in Surveillance Video

Stan Matwin, Eric Granger, Dmitry Gorodnichy, 2014 .

How to Extract Relevant Knowledge from Tweets?

Stan Matwin, Maguelonne Teisseire, Dino Ienco, 2012, ISIP.

Learning Domain Theories using Abstract Beckground Knowledge

Stan Matwin, Peter Clark, S. Matwin, 1993, ECML.

Acoustic recordings of North Atlantic right whale upcalls in the Gulf of St. Lawrence

Stan Matwin, Nathalie Roy, Yvan Simard, 2020 .

Inductive Logic Programming

Stan Matwin, Claude Sammut, C. Sammut, 2003, Lecture Notes in Computer Science.

Intelligent Backtracking in Plan-Based Deduction

Stan Matwin, Tomasz Pietrzykowski, 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Multiple-Aspect Analysis of Semantic Trajectories: First International Workshop, MASTER 2019, Held in Conjunction with ECML-PKDD 2019, Würzburg, Germany, September 16, 2019, Proceedings

Stan Matwin, Chiara Renso, Konstantinos Tserpes, 2020, MASTER@PKDD/ECML.

Machine Learning Method for Software Quality Model Building

Stan Matwin, Mauricio Amaral de Almeida, 1999, ISMIS.

A non-technical XACML target editor for dynamic access control systems

Stan Matwin, Amy P. Felty, Bernard Stepien, 2014, 2014 International Conference on Collaboration Technologies and Systems (CTS).

Privacy Compliance Enforcement in Email

Stan Matwin, Nathalie Japkowicz, William Elazmeh, 2005, Canadian Conference on AI.

Learning Recursive Relations with Randomly Selected Small Training Sets

Stan Matwin, David W. Aha, Charles X. Ling, 1994, ICML.

Case Authoring from Text and Historical Experiences

Stan Matwin, Nathalie Japkowicz, Marvin Zaluski, 2003, Canadian Conference on AI.

Machine learning from remote sensing analysis

Stan Matwin, David G. Goodenough, D. Charlebois, 1993, Proceedings of IGARSS '93 - IEEE International Geoscience and Remote Sensing Symposium.

On the Importance of Attention in Meta-Learning for Few-Shot Text Classification pdf

Stan Matwin, Mohammad Havaei, Nicolas Chapados, 2018, ArXiv.

Integrating EBL with automatic Text Analysis

Stan Matwin, Sylvain Delisle, Lionel Zupan, 1991, EWSL.

Anomaly detection in maritime data based on geometrical analysis of trajectories

Stan Matwin, Behrouz Haji Soleimani, Erico N. de Souza, 2015, 2015 18th International Conference on Information Fusion (Fusion).

An Encryption Methodology for Enabling the Use of Data Warehouses on the Cloud

Stan Matwin, Valéria Cesário Times, Cristina Dutra de Aguiar Ciferri, 2018, Int. J. Data Warehous. Min..

Representing and Acquiring Imprecise and Context-dependent Concepts in Knowledge-Based Systems

Stan Matwin, Ryszard S. Michalski, Jianping Zhang, 1988, ISMIS.

Risk-Aware Individual Trajectory Data Publishing With Differential Privacy

Stan Matwin, Jianzhe Zhao, Jie Mei, 2021, IEEE Access.

Exponential Improvement of Efficient Backtracking: data Structure and Implementation

Stan Matwin, Tomasz Pietrzykowski, 1982, CADE.

NEGOPLAN: An Inference-Based Negotiation Support Tool

Stan Matwin, Stan Szpakowicz, Zbig Koperczak, 1989, IFIP Congress.

A Review of Attribute Disclosure Control

Stan Matwin, Tomasz Szapiro, Jordi Nin, 2015, Advanced Research in Data Privacy.

A distributed instance-weighted SVM algorithm on large-scale imbalanced datasets

Stan Matwin, Xuan Liu, Xiaoguang Wang, 2014, 2014 IEEE International Conference on Big Data (Big Data).

Applying instance-weighted support vector machines to class imbalanced datasets

Stan Matwin, Xuan Liu, Xiaoguang Wang, 2014, 2014 IEEE International Conference on Big Data (Big Data).

Predicting Fishing Effort and Catch Using Semantic Trajectories and Machine Learning

Stan Matwin, Marta Simeoni, Alessandra Raffaetà, 2019, MASTER@PKDD/ECML.

A WordNet-based Algorithm for Word Sense Disambiguation

Stan Matwin, Stan Szpakowicz, Xiaobin Li, 1995, IJCAI.

Data Clustering Using Hybrid Particle Swarm Optimization

Stan Matwin, Ahmed Ali Abdalla Esmin, 2012, IDEAL.

Privacy-Preserving Multi-Party Decision Tree Induction

Stan Matwin, Justin Zhijun Zhan, LiWu Chang, 2007, DBSec.

Machine Learning and Planning for Data Management in Forestry

Stan Matwin, David G. Goodenough, Daniel Charlebois, 1995, IEEE Expert.

Classifying data from protected statistical datasets

Stan Matwin, Javier Herranz, Vicenç Torra, 2010, Comput. Secur..

Multimodal Deep Learning for Mental Disorders Prediction from Audio Speech Samples pdf

Stan Matwin, Habibeh Naderi, Behrouz Haji Soleimani, 2019, ArXiv.

A review on particle swarm optimization algorithm and its variants to clustering high-dimensional data

Stan Matwin, Ahmed Ali Abdalla Esmin, Rodrigo A. Coelho, 2013, Artificial Intelligence Review.

DeepMiner at SemEval-2018 Task 1: Emotion Intensity Recognition Using Deep Representation Learning

Stan Matwin, Saif Mohammad, Svetlana Kiritchenko, 2018, SemEval@NAACL-HLT.

Improving point-based AIS trajectory classification with partition-wise gated recurrent units

Stan Matwin, Xuan Liu, Daniel L. Silver, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Supporting software maintenance by mining software update records

Stan Matwin, Timothy Lethbridge, Jelber Sayyad-Shirabad, 2001, Proceedings IEEE International Conference on Software Maintenance. ICSM 2001.

Privacy-Preserving Naive Bayesian Classification

Stan Matwin, LiWu Chang, Zhijun Zhan, 2004 .

Addressing the Curse of Imbalanced Training Sets: One-Sided Selection

Stan Matwin, Miroslav Kubat, S. Matwin, 1997, ICML.

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

Stan Matwin, Sima Sharifirad, Borna Jafarpour, 2019, ArXiv.

A Network Abstraction of Multi-vessel Trajectory Data for Detecting Anomalies

Stan Matwin, Iraklis Varlamis, Konstantinos Tserpes, 2019, EDBT/ICDT Workshops.

Big data meets big water: Analytics of the AIS ship tracking data

Stan Matwin, 2016, 2016 Federated Conference on Computer Science and Information Systems (FedCSIS).

Reflexive Regular Equivalence for Bipartite Data pdf

Mingyang Zhou, Stan Matwin, Feng Shi, 2017, Canadian Conference on AI.

Interpreting the latent representations of a convolutional neural network trained on spectrograms

Stan Matwin, Mark Thomas, Bruce Martin, 2019 .

Inferring and Revising Theories with Confidence: Analyzing the 1901 Canadian Census

Stan Matwin, Chris Drummond, Chad Gaffield, 2000 .

Knowledge-based clustering of ship trajectories using density-based approach

Stan Matwin, Marcin Sydow, Bo Liu, 2014, 2014 IEEE International Conference on Big Data (Big Data).

Training agents in a complex environment

Stan Matwin, David G. Goodenough, D. Charlebois, 1995, Proceedings the 11th Conference on Artificial Intelligence for Applications.

Generalized features: their application to classification

Stan Matwin, Svetlana Kiritchenko, 2002, AAAI/IAAI.

Evaluating Data Mining Models: A Pattern Language

Stan Matwin, Nathalie Japkowicz, Jerffeson Teixeira de Souza, 2002 .

Improving Bayesian Learning Using Public Knowledge

Stan Matwin, Nathalie Japkowicz, Farid Seifi, 2010, Canadian Conference on AI.

A Non-technical User-Oriented Display Notation for XACML Conditions

Stan Matwin, Amy P. Felty, Bernard Stepien, 2009, MCETECH.

Data mining to predict aircraft component replacement

Stan Matwin, Sylvain Létourneau, Fazel Famili, 1999, IEEE Intell. Syst..

Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring pdf

Stan Matwin, Vania Bogorny, Lucas May Petry, 2019, ArXiv.

Privacy-Preserving Data Mining Techniques: Survey and Challenges

Stan Matwin, S. Matwin, 2013, Discrimination and Privacy in the Information Society.

How Joe and Jane Tweet about Their Health: Mining for Personal Health Information on Twitter

Stan Matwin, Marina Sokolova, Yasser Jafer, 2013, RANLP.

Robustness of Classifiers to Changing Environments

Stan Matwin, Nathalie Japkowicz, Chris Drummond, 2010, Canadian Conference on AI.

YOURPRIVACYPROTECTOR, A recommender system for privacy settings in social networks pdf

Stan Matwin, Marina Sokolova, Kambiz Ghazinour, 2013, ArXiv.

Processing OLAP Queries over an Encrypted Data Warehouse Stored in the Cloud

Stan Matwin, Valéria Cesário Times, Cristina Dutra de Aguiar Ciferri, 2014, DaWaK.

2-D Embedding of Large and High-dimensional Data with Minimal Memory and Computational Time Requirements pdf

Stan Matwin, Witold Dzwinel, Rafal Wcislo, 2019, ArXiv.

Explaining Image Classifiers Generating Exemplars and Counter-Exemplars from Latent Representations

Stan Matwin, Anna Monreale, Dino Pedreschi, 2020, AAAI.

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

Stan Matwin, Sima Sharifirad, S. Matwin, 2019, ArXiv.

Manifold Learning of Overcomplete Feature Spaces in a Multimodal Biometric Recognition System of Iris and Palmprint

Stan Matwin, Habibeh Naderi, Behrouz Haji Soleimani, 2017, 2017 14th Conference on Computer and Robot Vision (CRV).

An application of explanation-based learning to protocol conformance testing

Stan Matwin, Robert L. Probert, Johanne Morin, 1990, IEEE Expert.

Privacy-aware Wrappers

Stan Matwin, Marina Sokolova, Yasser Jafer, 2015, Canadian Conference on AI.

Privacy-Sensitive Information Flow with JML

Stan Matwin, Amy P. Felty, Guillaume Dufay, 2005, CADE.

A Density-Penalized Distance Measure for Clustering

Stan Matwin, Behrouz Haji Soleimani, Erico N. de Souza, 2015, Canadian Conference on AI.

Privacy-Preserving Support Vector Machines Learning

Stan Matwin, LiWu Chang, Justin Zhan, 2005 .

Direct comparison between support vector machine and multinomial naive Bayes algorithms for medical abstract classification

Stan Matwin, Vera Sazonova, 2012, J. Am. Medical Informatics Assoc..

ANALYTiC: An Active Learning System for Trajectory Classification

Stan Matwin, Chiara Renso, Amílcar Soares Júnior, 2017, IEEE Computer Graphics and Applications.

Reuse of modular software with automated comment analysis

Stan Matwin, Affa Ahmad, S. Matwin, 1994, Proceedings 1994 International Conference on Software Maintenance.

Privacy Preserving K-nearest Neighbor Classification

Stan Matwin, Justin Zhijun Zhan, LiWu Chang, 2005, Int. J. Netw. Secur..

French presidential elections: what are the most efficient measures for tweets?

Stan Matwin, Dino Ienco, Pascal Poncelet, 2012, PLEAD '12.

STEP 2004 Applications and Emerging Trends in Software Engineering Practice

Stan Matwin, S. Matwin, 2004 .

Intrinsic Plagiarism Detection using Complexity Analysis

Stan Matwin, Leanne Seaward, S. Matwin, 2009 .

Evaluation of Different Features for Face Recognition in Video

Stan Matwin, Dmitry O. Gorodnichy, Eric Granger, 2014 .

Statistical Phrases in Automated Text Categorization

Stan Matwin, Fabrizio Sebastiani, Maria Fernanda Caropreso, 2000 .

2nd Workshop on Learning with Imbalanced Domains: Preface

Stan Matwin, Luís Torgo, Bartosz Krawczyk, 2018, LIDTA@ECML/PKDD.

Exploiting the systematic review protocol for classification of medical abstracts

Stan Matwin, Oana Frunza, Diana Inkpen, 2011, Artif. Intell. Medicine.

Interactions between Data Mining and Natural Language Processing

Stan Matwin, Marie-Francine Moens, Andreas Hotho, 2014 .

Smooth Receiver Operating Characteristics (smROC) Curves

Stan Matwin, Peter A. Flach, Nathalie Japkowicz, 2011, ECML/PKDD.

Learning from Imbalanced Data Using Ensemble Methods and Cluster-Based Undersampling

Stan Matwin, Parinaz Sobhani, Herna Viktor, 2014, NFMCP.

Using Attention-based Bidirectional LSTM to Identify Different Categories of Offensive Language Directed Toward Female Celebrities

Stan Matwin, Sima Sharifirad, S. Matwin, 2019, WNLP@ACL.

Text Classification Using WordNet Hypernyms

Stan Matwin, Sam Scott, S. Matwin, 1998, WordNet@ACL/COLING.

Case-based reasoning in an intelligent information system for forestry

Stan Matwin, David G. Goodenough, Daniel A. Charlebois, 1994, Defense, Security, and Sensing.

Learn Faster and Forget Slower via Fast and Stable Task Adaptation pdf

Stan Matwin, Lisa Di-Jorio, Lucas May Petry, 2020, ArXiv.

Parallelizing Feature Selection

Stan Matwin, Nathalie Japkowicz, Jerffeson Teixeira de Souza, 2006, Algorithmica.

Building k-nearest neighbor classifiers on vertically partitioned private data

Stan Matwin, Justin Zhijun Zhan, LiWu Chang, 2005, 2005 IEEE International Conference on Granular Computing.

Modeling Relevance Relations Using Machine Learning Techniques

Stan Matwin, Timothy C. Lethbridge, Jelber Sayyad Shirabad, 2007 .

Formal correctness of conflict detection for firewalls

Stan Matwin, Amy P. Felty, Venanzio Capretta, 2007, FMSE '07.

Fast Unsupervised Online Drift Detection Using Incremental Kolmogorov-Smirnov Test

Stan Matwin, Peter A. Flach, Gustavo E. A. P. A. Batista, 2016, KDD.

Black Box Explanation by Learning Image Exemplars in the Latent Feature Space

Stan Matwin, Anna Monreale, Dino Pedreschi, 2019, ECML/PKDD.

A Cryptographic Solution for Private Distributed Simple Meeting Scheduling

Stan Matwin, Javier Herranz, Pedro Meseguer, 2009, CCIA.

Extending AdaBoost to Iteratively Vary Its Base Classifiers

Stan Matwin, Erico N. de Souza, 2011, Canadian Conference on AI.

An end-to-end approach for true detection of low frequency marine mammal vocalizations

Stan Matwin, Mark Thomas, Bruce Martin, 2019 .

COVID-19 Pandemic: Identifying Key Issues Using Social Media and Natural Language Processing pdf

Stan Matwin, Rita Orji, Oladapo Oyebode, 2020, Journal of Healthcare Informatics Research.

VISTA: A visual analytics platform for semantic annotation of trajectories

Stan Matwin, Chiara Renso, Amílcar Soares Júnior, 2019, EDBT.

Learning in belief networks and its application to distributed databases

Stan Matwin, John B. Oommen, Messaouda Ouerd, 2000 .

Proceedings of the 12th international conference on Inductive logic programming

Stan Matwin, Claude Sammut, 2002 .

Meta-learning for large scale machine learning with MapReduce

Stan Matwin, Xuan Liu, Xiaoguang Wang, 2013, 2013 IEEE International Conference on Big Data.

A case-based approach to software reuse

Stan Matwin, Gilles Fouqué, S. Matwin, 1993, Journal of Intelligent Information Systems.

20th European Conference on Machine Learning: ECML 2007

Stan Matwin, Andrzej Skowron, Dunja Mladenic, 2007 .

Case-based reasoning and software agents for intelligent forest information management

Stan Matwin, David G. Goodenough, A. S. Bhogal, 1996, IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium.

Large Scale Text Classiflcation using Semi-supervised Multinomial

Stan Matwin, Jiang Su, Jelber Sayyad-Shirabad, 2011 .

Personal Privacy Protection in Time of Big Data

Stan Matwin, Marina Sokolova, S. Matwin, 2016, Challenges in Computational Statistics and Data Mining.

Proceedings of the 14th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence

Stan Matwin, Eleni Stroulia, S. Matwin, 2001 .

CAESAR: a system for case based software reuse

Stan Matwin, Gilles Fouqué, 1992, Proceedings of the Seventh Knowledge-Based Software Engineering Conference.

Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection

Stan Matwin, Ronan Fablet, O. S. Kirsebom, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

STochFS: A Framework for Combining Feature Selection Outcomes Through a Stochastic Process

Stan Matwin, Nathalie Japkowicz, Jerffeson Teixeira de Souza, 2005, PKDD.

Survey of Generative Methods for Social Media Analysis pdf

Stan Matwin, Pawel Pralat, Franccois Th'eberge, 2021, ArXiv.

Multiple aspect trajectories: a case study on fishing vessels in the Northern Adriatic sea

Stan Matwin, Marta Simeoni, Alessandra Raffaetà, 2021, EDBT/ICDT Workshops.

Aircraft Fuselage Corrosion Detection Using Artificial Intelligence

Stan Matwin, José F. Rodrigues, Amílcar Soares Júnior, 2021, Sensors.

Representation and analysis of spatiotemporal encounters published in online social networks

Stan Matwin, Valéria C. Times, Bruno N. Moreno, 2021, Soc. Netw. Anal. Min..

Continuous Control with Deep Reinforcement Learning for Autonomous Vessels pdf

Stan Matwin, Nader Zare, Mahtab Sarvmaili, 2021, ArXiv.