Stan Matwin - RankMe

377 papers A* 14A 6B 25C 25Misc 12Journal 136Unranked 142

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	MAC: Multimodal Attentive Contrastive Learning Framework. Canadian AI Habibeh Naderi, Behrouz Haji Soleimani, Stan Matwin
2025	J	`jnl`	Privacy-preserved federated clustering with Non-IID data via GANs. J. Supercomput. Jianzhe Zhao, Wenji Wang, Jiabao Wang, Songyang Zhang, Zhelin Fan, Stan Matwin
2024	—	`conf`	A Computationally Inexpensive Method for Anomaly Detection in Maritime Trajectories from AIS Dataset. FICC (3) Zahra Sadeghi, Stan Matwin
2024	J	`jnl`	A Review of Global Sensitivity Analysis Methods and a comparative case study on Digit Classification. CoRR Zahra Sadeghi, Stan Matwin
2024	J	`jnl`	Causal Generative Explainers using Counterfactual Inference: A Case Study on the Morpho-MNIST Dataset. CoRR Will Taylor-Melanson, Zahra Sadeghi, Stan Matwin
2024	J	`jnl`	Causal generative explainers using counterfactual inference: a case study on the Morpho-MNIST dataset. Pattern Anal. Appl. Will Taylor-Melanson, Zahra Sadeghi, Stan Matwin
2024	J	`jnl`	Correction to: Emotion detection and semantic trends during COVID-19 social isolation using artificial intelligence techniques. J. Ambient Intell. Humaniz. Comput. Hamed Jelodar, Rita Orji, Stan Matwin, Swarna Weerasinghe, Oladapo Oyebode, Yongli Wang
2024	J	`jnl`	Engineering Features to Improve Pass Prediction in Soccer Simulation 2D Games. CoRR Nader Zare, Mahtab Sarvmaili, Aref Sayareh, Omid Amini, Stan Matwin, Amílcar Soares
2024	J	`jnl`	Exploring autoregression patterns for automatic vessel type classification. J. Supercomput. Martha Dais Ferreira, Zahra Sadeghi, Stan Matwin
2024	J	`jnl`	Gravity-Informed Deep Learning Framework for Predicting Ship Traffic Flow and Invasion Risk of Non-Indigenous Species via Ballast Water Discharge. CoRR Ruixin Song, Gabriel Spadon, Ronald Pelot, Stan Matwin, Amílcar Soares
2024	J	`jnl`	Improving Dribbling, Passing, and Marking Actions in Soccer Simulation 2D Games Using Machine Learning. CoRR Nader Zare, Omid Amini, Aref Sayareh, Mahtab Sarvmaili, Arad Firouzkouhi, Stan Matwin, Amílcar Soares
2024	J	`jnl`	Maritime Tracking Data Analysis and Integration with AISdb. CoRR Gabriel Spadon, Jay Kumar, Jinkun Chen, Matthew Smith, Casey Hilliard, Sarah Vela, Romina Gehrmann, Claudio DiBacco, Stan Matwin, Ronald Pelot
2024	J	`jnl`	Maritime tracking data analysis and integration with AISdb. SoftwareX Gabriel Spadon, Jay Kumar, Jinkun Chen, Matthew Smith, Casey Hilliard, Sarah Vela, Romina Gehrmann, Claudio DiBacco, Stan Matwin, Ronald Pelot
2023	J	`jnl`	Adapting deep learning models to new acoustic environments - A case study on the North Atlantic right whale upcall. Ecol. Informatics Bruno Padovese, Oliver S. Kirsebom, Fábio Frazão, Clair H. M. Evers, Wilfried A. M. Beslin, Jim Theriault, Stan Matwin
2023	J	`jnl`	Anomaly detection for maritime navigation based on probability density function of error of reconstruction. J. Intell. Syst. Zahra Sadeghi, Stan Matwin
2023	J	`jnl`	Assessing compression algorithms to improve the efficiency of clustering analysis on AIS vessel trajectories. Int. J. Geogr. Inf. Sci. Martha Dais Ferreira, Jessica N. A. Campbell, Evan Purney, Amílcar Soares, Stan Matwin
2023	J	`jnl`	Building a Safer Maritime Environment Through Multi-Path Long-Term Vessel Trajectory Forecasting. CoRR Gabriel Spadon, Jay Kumar, Matthew Smith, Sarah Vela, Romina Gehrmann, Derek Eden, Joshua van Berkel, Amílcar Soares, Ronan Fablet, Ronald Pelot, Stan Matwin
2023	B	`conf`	Charting the Course of Ship Track Prediction: A Novel Approach for Maritime Traffic Analysis and Enhanced Situational Awareness. IEEE Big Data Lubna Eljabu, Mohammad Etemad, Stan Matwin
2023	J	`jnl`	Evolutionary Augmentation Policy Optimization for Self-Supervised Learning. Adv. Artif. Intell. Mach. Learn. Noah Barrett, Zahra Sadeghi, Stan Matwin
2023	J	`jnl`	Evolutionary Augmentation Policy Optimization for Self-supervised Learning. CoRR Noah Barrett, Zahra Sadeghi, Stan Matwin
2023	J	`jnl`	FishSounds Version 1.0: A website for the compilation of fish sound production information and recordings. Ecol. Informatics Audrey Looby, Sarah Vela, Kieran Cox, Amalis Riera, Santiago Bravo, Hailey L. Davies, Rodney Rountree, Laura K. Reynolds, Charles W. Martin, Stan Matwin, Francis Juanes
2023	—	`book`	Generative Methods for Social Media Analysis Stan Matwin, Aristides Milios, Pawel Pralat, Amílcar Soares, François Théberge
2023	J	`jnl`	Local differentially private federated learning with homomorphic encryption. J. Supercomput. Jianzhe Zhao, Chenxi Huang, Wenji Wang, Rulin Xie, Rongrong Dong, Stan Matwin
2023	J	`jnl`	Observation Denoising in CYRUS Soccer Simulation 2D Team For RoboCup 2023. CoRR Aref Sayareh, Nader Zare, Omid Amini, Arad Firouzkouhi, Mahtab Sarvmaili, Stan Matwin
2023	J	`jnl`	Pyrus Base: An Open Source Python Framework for the RoboCup 2D Soccer Simulation. CoRR Nader Zare, Aref Sayareh, Omid Amini, Mahtab Sarvmaili, Arad Firouzkouhi, Stan Matwin, Amílcar Soares
2023	J	`jnl`	SGORNN: Combining scalar gates and orthogonal constraints in recurrent networks. Neural Networks Will Taylor-Melanson, Martha Dais Ferreira, Stan Matwin
2023	J	`jnl`	Unfolding AIS Transmission Behavior for Vessel Movement Modeling on Noisy Data Leveraging Machine Learning. IEEE Access Gabriel Spadon, Martha Dais Ferreira, Amílcar Soares, Stan Matwin
2022	—	`conf`	A Modularized Framework for Explaining Black Box Classifiers for Text Data. Canadian AI Mahtab Sarvmaili, Riccardo Guidotti, Anna Monreale, Amílcar Soares, Zahra Sadeghi, Fosca Giannotti, Dino Pedreschi, Stan Matwin
2022	J	`jnl`	A Semi-Supervised Methodology for Fishing Activity Detection Using the Geometry behind the Trajectory of Multiple Vessels. Sensors Martha Dais Ferreira, Gabriel Spadon, Amílcar Soares, Stan Matwin
2022	—	`conf`	A Topological Perspective of Port Networks From Three Years (2017-2019) of AIS Data. SEBD Emanuele Carlini, Vinicius Monteiro de Lira, Amílcar Soares, Mohammad Etemad, Bruno Brandoli, Stan Matwin
2022	J	`jnl`	A semi-supervised geometric-driven methodology for supervised fishing activity detection on multi-source AIS tracking messages. CoRR Martha Dais Ferreira, Gabriel Spadon, Amílcar Soares, Stan Matwin
2022	—	`conf`	AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation. ECCV (23) Farshid Varno, Marzie Saghayi, Laya Rafiee Sevyeri, Sharut Gupta, Stan Matwin, Mohammad Havaei
2022	J	`jnl`	COVID-19 Pandemic: Identifying Key Issues Using Social Media and Natural Language Processing. J. Heal. Informatics Res. Oladapo Oyebode, Chinenye Ndulue, Dinesh Mulchandani, Banuchitra Suruliraj, Ashfaq Adib, Fidelia Anulika Orji, Evangelos E. Milios, Stan Matwin, Rita Orji
2022	J	`jnl`	CYRUS Soccer Simulation 2D Team Description Paper 2021. CoRR Nader Zare, Aref Sayareh, Mahtab Sarvmaili, Omid Amini, Amílcar Soares, Stan Matwin
2022	J	`jnl`	CYRUS Soccer Simulation 2D Team Description Paper 2022. CoRR Nader Zare, Arad Firouzkouhi, Omid Amini, Mahtab Sarvmaili, Aref Sayareh, Saba Ramezani Rad, Stan Matwin, Amílcar Soares
2022	C	`conf`	Cyrus2D Base: Source Code Base for RoboCup 2D Soccer Simulation League. RoboCup Nader Zare, Omid Amini, Aref Sayareh, Mahtab Sarvmaili, Arad Firouzkouhi, Saba Ramezani Rad, Stan Matwin, Amílcar Soares
2022	J	`jnl`	Cyrus2D base: Source Code Base for RoboCup 2D Soccer Simulation League. CoRR Nader Zare, Omid Amini, Aref Sayareh, Mahtab Sarvmaili, Arad Firouzkouhi, Saba Ramezani Rad, Stan Matwin, Amílcar Soares
2022	J	`jnl`	From multiple aspect trajectories to predictive analysis: a case study on fishing vessels in the Northern Adriatic sea. GeoInformatica Bruno Brandoli, Alessandra Raffaetà, Marta Simeoni, Pedram Adibi, Fateha Khanam Bappee, Fabio Pranovi, Giulia Rovinelli, Elisabetta Russo, Claudio Silvestri, Amílcar Soares, Stan Matwin
2022	J	`jnl`	Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation. CoRR Farshid Varno, Marzie Saghayi, Laya Rafiee, Sharut Gupta, Stan Matwin, Mohammad Havaei
2022	J	`jnl`	Mobility Data Mining: from Technical to Ethical (Dagstuhl Seminar 22022). Dagstuhl Reports Bettina Berendt, Stan Matwin, Chiara Renso, Fran Meissner, Francesca Pratesi, Alessandra Raffaetà, Geoffrey Rockwell
2022	J	`jnl`	Pay Attention to Evolution: Time Series Forecasting With Deep Graph-Evolution Learning. IEEE Trans. Pattern Anal. Mach. Intell. Gabriel Spadon, Shenda Hong, Bruno Brandoli, Stan Matwin, José F. Rodrigues Jr., Jimeng Sun
2022	B	`conf`	Spatial Clustering Method of Historical AIS Data for Maritime Traffic Routes Extraction. IEEE Big Data Lubna Eljabu, Mohammad Etemad, Stan Matwin
2022	J	`jnl`	Understanding evolution of maritime networks from automatic identification system data. GeoInformatica Emanuele Carlini, Vinicius Monteiro de Lira, Amílcar Soares, Mohammad Etemad, Bruno Brandoli, Stan Matwin
2022	J	`jnl`	Unfolding collective AIS transmission behavior for vessel movement modeling on irregular timing data using noise-robust neural networks. CoRR Gabriel Spadon, Martha Dais Ferreira, Amílcar Soares, Stan Matwin
2022	J	`jnl`	deepSimDEF: deep neural embeddings of gene products and gene ontology terms for functional analysis of genes. Bioinform. Ahmad Pesaranghader, Stan Matwin, Marina Sokolova, Jean-Christophe Grenier, Robert G. Beiko, Julie Hussin
2021	J	`jnl`	A Trajectory Scoring Tool for Local Anomaly Detection in Maritime Traffic Using Visual Analytics. ISPRS Int. J. Geo Inf. Fernando Henrique Oliveira Abreu, Amílcar Soares Júnior, Fernando V. Paulovich, Stan Matwin
2021	—	`conf`	A modularized framework for explaining hierarchical attention networks on text classifiers. Canadian AI Mahtab Sarvmaili, Amílcar Soares, Riccardo Guidotti, Anna Monreale, Fosca Giannotti, Dino Pedreschi, Stan Matwin
2021	J	`jnl`	Aircraft Fuselage Corrosion Detection Using Artificial Intelligence. Sensors Bruno Brandoli, André R. de Geus, Jefferson R. Souza, Gabriel Spadon, Amílcar Soares Júnior, José F. Rodrigues Jr., Jerzy Komorowski, Stan Matwin
2021	—	`conf`	Anomaly Detection in Maritime Domain based on Spatio-Temporal Analysis of AIS Data Using Graph Neural Networks. ICVISP Lubna Eljabu, Mohammad Etemad, Stan Matwin
2021	J	`jnl`	Artificial Intelligence for Emotion-Semantic Trending and People Emotion Detection During COVID-19 Social Isolation. CoRR Hamed Jelodar, Rita Orji, Stan Matwin, Swarna Weerasinghe, Oladapo Oyebode, Yongli Wang
2021	J	`jnl`	Building navigation networks from multi-vessel trajectory data. GeoInformatica Iraklis Varlamis, Ioannis Kontopoulos, Konstantinos Tserpes, Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin
2021	J	`jnl`	Continuous Control with Deep Reinforcement Learning for Autonomous Vessels. CoRR Nader Zare, Bruno Brandoli, Mahtab Sarvmaili, Amílcar Soares, Stan Matwin
2021	C	`conf`	Engineering Features to Improve Pass Prediction in Soccer Simulation 2D Games. RoboCup Nader Zare, Mahtab Sarvmaili, Aref Sayareh, Omid Amini, Stan Matwin, Amílcar Soares
2021	J	`jnl`	Examining the impact of cross-domain learning on crime prediction. J. Big Data Fateha Khanam Bappee, Amílcar Soares, Lucas May Petry, Stan Matwin
2021	J	`jnl`	Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Ethics Inf. Technol. Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandè, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Paolo Ferragina, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, Kimmo Kaski, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Stan Matwin, David Megías Jiménez, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Fabio Pianesi, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Vicenç Torra, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani
2021	C	`conf`	Improving Dribbling, Passing, and Marking Actions in Soccer Simulation 2D Games Using Machine Learning. RoboCup Nader Zare, Omid Amini, Aref Sayareh, Mahtab Sarvmaili, Arad Firouzkouhi, Stan Matwin, Amílcar Soares
2021	—	`conf`	Local Anomaly Detection In Maritime Traffic Using Visual Analytics. EDBT/ICDT Workshops Fernando Henrique Oliveira Abreu, Amílcar Soares, Fernando V. Paulovich, Stan Matwin
2021	B	`conf`	MTLV: a library for building deep multi-task learning architectures. DocEng Fatemeh Rahimi, Evangelos E. Milios, Stan Matwin
2021	—	`conf`	Multiple aspect trajectories: a case study on fishing vessels in the Northern Adriatic sea. EDBT/ICDT Workshops Giulia Rovinelli, Stan Matwin, Fabio Pranovi, Elisabetta Russo, Claudio Silvestri, Marta Simeoni, Alessandra Raffaetà
2021	J	`jnl`	Multiple-aspect analysis of semantic trajectories(MASTER). Int. J. Geogr. Inf. Sci. Chiara Renso, Vania Bogorny, Konstantinos Tserpes, Stan Matwin, José Antônio Fernandes de Macêdo
2021	J	`jnl`	Representation and analysis of spatiotemporal encounters published in online social networks. Soc. Netw. Anal. Min. Bruno Neiva Moreno, Valéria Cesário Times, Stan Matwin
2021	J	`jnl`	Risk-Aware Individual Trajectory Data Publishing With Differential Privacy. IEEE Access Jianzhe Zhao, Jie Mei, Stan Matwin, Yukai Su, Yuancheng Yang
2021	J	`jnl`	SWS: an unsupervised trajectory segmentation algorithm based on change detection with interpolation kernels. GeoInformatica Mohammad Etemad, Amílcar Soares Júnior, Elham Etemad, Jordan Rose, Luís Torgo, Stan Matwin
2021	—	`conf`	Sine-Wave Speech and Privacy-Preserving Depression Detection. SMM Sri Harsha Dumpala, Rudolf Uher, Stan Matwin, Michael Kiefte, Sageev Oore
2021	J	`jnl`	Survey of Generative Methods for Social Media Analysis. CoRR Stan Matwin, Aristides Milios, Pawel Pralat, Amílcar Soares, François Théberge
2020	J	`jnl`	Analyzing the Impact of Foursquare and Streetlight Data with Human Demographics on Future Crime Prediction. CoRR Fateha Khanam Bappee, Lucas May Petry, Amílcar Soares Júnior, Stan Matwin
2020	J	`jnl`	Black Box Explanation by Learning Image Exemplars in the Latent Feature Space. CoRR Riccardo Guidotti, Anna Monreale, Stan Matwin, Dino Pedreschi
2020	—	`conf`	CB-DBSCAN: A Novel Clustering Algorithm for Adjacent Clusters with Different Densities. Canadian AI Gashin Ghazizadeh, Mirerfan Gheibi, Stan Matwin
2020	J	`jnl`	COVID-19 Pandemic: Identifying Key Issues using Social Media and Natural Language Processing. CoRR Oladapo Oyebode, Chinenye Ndulue, Dinesh Mulchandani, Banuchitra Suruliraj, Ashfaq Adib, Fidelia Anulika Orji, Evangelos E. Milios, Stan Matwin, Rita Orji
2020	—	`conf`	Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning. Canadian AI Lucas May Petry, Amílcar Soares Júnior, Vania Bogorny, Bruno Brandoli, Stan Matwin
2020	J	`jnl`	Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning. CoRR Lucas May Petry, Amílcar Soares Júnior, Vania Bogorny, Bruno Brandoli, Stan Matwin
2020	B	`ed.`	Discovery Science - 23rd International Conference, DS 2020, Thessaloniki, Greece, October 19-21, 2020, Proceedings DS Annalisa Appice, Grigorios Tsoumakas, Yannis Manolopoulos, Stan Matwin
2020	A*	`conf`	Explaining Image Classifiers Generating Exemplars and Counter-Exemplars from Latent Representations. AAAI Riccardo Guidotti, Anna Monreale, Stan Matwin, Dino Pedreschi
2020	B	`conf`	Generating High-Fidelity Images with Disentangled Adversarial VAEs and Structure-Aware Loss. IJCNN Habibeh Naderi, Behrouz Haji Soleimani, Stan Matwin
2020	J	`jnl`	Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Trans. Data Priv. Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandè, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Paolo Ferragina, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, Kimmo Kaski, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Stan Matwin, David Megías, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Fabio Pianesi, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Vicenç Torra, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani
2020	A*	`conf`	Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation. ICML Xiang Jiang, Qicheng Lao, Stan Matwin, Mohammad Havaei
2020	J	`jnl`	Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation. CoRR Xiang Jiang, Qicheng Lao, Stan Matwin, Mohammad Havaei
2020	J	`jnl`	Learn Faster and Forget Slower via Fast and Stable Task Adaptation. CoRR Farshid Varno, Lucas May Petry, Lisa Di-Jorio, Stan Matwin
2020	—	`ed.`	Multiple-Aspect Analysis of Semantic Trajectories - First International Workshop, MASTER 2019, Held in Conjunction with ECML-PKDD 2019, Würzburg, Germany, September 16, 2019, Proceedings MASTER@PKDD/ECML Konstantinos Tserpes, Chiara Renso, Stan Matwin
2020	J	`jnl`	Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning. CoRR Gabriel Spadon, Shenda Hong, Bruno Brandoli, Stan Matwin, José F. Rodrigues Jr., Jimeng Sun
2020	J	`jnl`	Performance of a Deep Neural Network at Detecting North Atlantic Right Whale Upcalls. CoRR Oliver S. Kirsebom, Fábio Frazão, Yvan Simard, Nathalie Roy, Stan Matwin, Samuel Giard
2020	—	`conf`	SemEval-2020 Task 5: Counterfactual Recognition. SemEval@COLING Xiaoyu Yang, Stephen Obadinma, Huasha Zhao, Qiong Zhang, Stan Matwin, Xiaodan Zhu
2020	J	`jnl`	SemEval-2020 Task 5: Counterfactual Recognition. CoRR Xiaoyu Yang, Stephen Obadinma, Huasha Zhao, Qiong Zhang, Stan Matwin, Xiaodan Zhu
2020	—	`conf`	Uncovering vessel movement patterns from AIS data with graph evolution analysis. EDBT/ICDT Workshops Emanuele Carlini, Vinicius Monteiro de Lira, Amílcar Soares Júnior, Mohammad Etemad, Bruno Brandoli Machado, Stan Matwin
2020	—	`conf`	Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments. Canadian AI Mohammad Etemad, Nader Zare, Mahtab Sarvmaili, Amílcar Soares Júnior, Bruno Brandoli Machado, Stan Matwin
2020	J	`jnl`	Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments. CoRR Mohammad Etemad, Nader Zare, Mahtab Sarvmaili, Amílcar Soares Júnior, Bruno Brandoli Machado, Stan Matwin
2020	—	`conf`	Wise Sliding Window Segmentation: A Classification-Aided Approach for Trajectory Segmentation. Canadian AI Mohammad Etemad, Zahra Etemad, Amílcar Soares Júnior, Vania Bogorny, Stan Matwin, Luís Torgo
2020	J	`jnl`	Wise Sliding Window Segmentation: A classification-aided approach for trajectory segmentation. CoRR Mohammad Etemad, Zahra Etemad, Amílcar Soares Júnior, Vania Bogorny, Stan Matwin, Luís Torgo
2019	J	`jnl`	2-D Embedding of Large and High-dimensional Data with Minimal Memory and Computational Time Requirements. CoRR Witold Dzwinel, Rafal Wcislo, Stan Matwin
2019	—	`conf`	A Network Abstraction of Multi-vessel Trajectory Data for Detecting Anomalies. EDBT/ICDT Workshops Iraklis Varlamis, Konstantinos Tserpes, Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin
2019	—	`conf`	A Trajectory Segmentation Algorithm Based on Interpolation-based Change Detection Strategies. EDBT/ICDT Workshops Mohammad Etemad, Amílcar Soares Júnior, Arazoo Hoseyni, Jordan Rose, Stan Matwin
2019	C	`conf`	Automatic Fusion of Satellite Imagery and AIS data for Vessel Detection. FUSION Aristides Milios, Konstantina Bereta, Konstantinos Chatzikokolakis, Dimitris Zissis, Stan Matwin
2019	—	`conf`	Black Box Explanation by Learning Image Exemplars in the Latent Feature Space. ECML/PKDD (1) Riccardo Guidotti, Anna Monreale, Stan Matwin, Dino Pedreschi
2019	—	`conf`	CRISIS: Integrating AIS and Ocean Data Streams Using Semantic Web Standards for Event Detection. ICMCIS Amílcar Soares, Renata Dividino, Fernando Henrique Oliveira Abreu, Matthew Brousseau, Anthony W. Isenor, Sean Webb, Stan Matwin
2019	J	`jnl`	Computational modelling and data-driven techniques for systems analysis. J. Intell. Inf. Syst. Stan Matwin, Luca Tesei, Roberto Trasarti
2019	J	`jnl`	Efficient Neural Task Adaptation by Maximum Entropy Initialization. CoRR Farshid Varno, Behrouz Haji Soleimani, Marzie Saghayi, Lisa Di-Jorio, Stan Matwin
2019	A*	`conf`	Fast PMI-Based Word Embedding with Efficient Use of Unobserved Patterns. AAAI Behrouz Haji Soleimani, Stan Matwin
2019	J	`jnl`	How is Your Mood When Writing Sexist tweets? Detecting the Emotion Type and Intensity of Emotion Using Natural Language Processing Techniques. CoRR Sima Sharifirad, Borna Jafarpour, Stan Matwin
2019	—	`conf`	Learning to Learn with Conditional Class Dependencies. ICLR (Poster) Xiang Jiang, Mohammad Havaei, Farshid Varno, Gabriel Chartrand, Nicolas Chapados, Stan Matwin
2019	—	`conf`	Marine Mammal Species Classification Using Convolutional Neural Networks and a Novel Acoustic Representation. ECML/PKDD (3) Mark Thomas, Bruce Martin, Katie Kowarski, Briand J. Gaudet, Stan Matwin
2019	J	`jnl`	Marine Mammal Species Classification using Convolutional Neural Networks and a Novel Acoustic Representation. CoRR Mark Thomas, Bruce Martin, Katie Kowarski, Briand J. Gaudet, Stan Matwin
2019	J	`jnl`	Multimodal Deep Learning for Mental Disorders Prediction from Audio Speech Samples. CoRR Habibeh Naderi, Behrouz Haji Soleimani, Sheri Rempel, Stan Matwin, Rudolf Uher
2019	—	`conf`	On Feature Selection and Evaluation of Transportation Mode Prediction Strategies. EDBT/ICDT Workshops Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin, Luís Torgo
2019	—	`conf`	Predicting Fishing Effort and Catch Using Semantic Trajectories and Machine Learning. MASTER@PKDD/ECML Pedram Adibi, Fabio Pranovi, Alessandra Raffaetà, Elisabetta Russo, Claudio Silvestri, Marta Simeoni, Amílcar Soares Júnior, Stan Matwin
2019	Misc	`conf`	Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection. ICASSP Duong Nguyen, Oliver S. Kirsebom, Fábio Frazão, Ronan Fablet, Stan Matwin
2019	J	`jnl`	Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection. CoRR Duong Nguyen, Oliver S. Kirsebom, Fábio Frazão, Ronan Fablet, Stan Matwin
2019	—	`conf`	Task Adaptive Metric Space for Medium-Shot Medical Image Classification. MICCAI (1) Xiang Jiang, Liqiang Ding, Mohammad Havaei, Andrew Jesson, Stan Matwin
2019	J	`jnl`	Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring. CoRR Lucas May Petry, Amílcar Soares Júnior, Vania Bogorny, Stan Matwin
2019	—	`conf`	Using Attention-based Bidirectional LSTM to Identify Different Categories of Offensive Language Directed Toward Female Celebrities. WNLP@ACL Sima Sharifirad, Stan Matwin
2019	B	`conf`	VISTA: A visual analytics platform for semantic annotation of trajectories. EDBT Amílcar Soares Júnior, Jordan Rose, Mohammad Etemad, Chiara Renso, Stan Matwin
2019	J	`jnl`	When a Tweet is Actually Sexist. A more Comprehensive Classification of Different Online Harassment Categories and The Challenges in NLP. CoRR Sima Sharifirad, Stan Matwin
2019	J	`jnl`	deepBioWSD: effective deep neural word sense disambiguation of biomedical text data. J. Am. Medical Informatics Assoc. Ahmad Pesaranghader, Stan Matwin, Marina Sokolova, Ali Pesaranghader
2018	—	`conf`	2nd Workshop on Learning with Imbalanced Domains: Preface. LIDTA@ECML/PKDD Luís Torgo, Stan Matwin, Nathalie Japkowicz, Bartosz Krawczyk, Nuno Moniz, Paula Branco
2018	B	`conf`	A Semi-Supervised Approach for the Semantic Segmentation of Trajectories. MDM Amílcar Soares Júnior, Valéria Cesário Times, Chiara Renso, Stan Matwin, Lucídio A. F. Cabral
2018	J	`jnl`	An Encryption Methodology for Enabling the Use of Data Warehouses on the Cloud. Int. J. Data Warehous. Min. Claudivan Cruz Lopes, Valéria Cesário Times, Stan Matwin, Cristina Dutra de Aguiar Ciferri, Ricardo Rodrigues Ciferri
2018	—	`conf`	Boosting Text Classification Performance on Sexist Tweets by Text Augmentation and Text Generation Using a Combination of Knowledge Graphs. ALW Sima Sharifirad, Borna Jafarpour, Stan Matwin
2018	—	`conf`	Cost-Sensitive Learning: Preface. COST@SDM Luís Torgo, Stan Matwin, Gary Weiss, Nuno Moniz, Paula Branco
2018	—	`conf`	DeepMiner at SemEval-2018 Task 1: Emotion Intensity Recognition Using Deep Representation Learning. SemEval@NAACL-HLT Habibeh Naderi, Behrouz Haji Soleimani, Saif M. Mohammad, Svetlana Kiritchenko, Stan Matwin
2018	—	`conf`	Dimensionality Reduction and Visualization by Doubly Kernelized Unit Ball Embedding. Canadian AI Behrouz Haji Soleimani, Stan Matwin
2018	—	`conf`	Improving the Interpretability of Deep Neural Networks with Knowledge Distillation. ICDM Workshops Xuan Liu, Xiaoguang Wang, Stan Matwin
2018	J	`jnl`	Improving the Interpretability of Deep Neural Networks with Knowledge Distillation. CoRR Xuan Liu, Xiaoguang Wang, Stan Matwin
2018	J	`jnl`	Incremental anomaly detection using two-layer cluster-based structure. Inf. Sci. Elnaz Bigdeli, Mahdi Mohammadi, Bijan Raahemi, Stan Matwin
2018	B	`conf`	Interpretable Deep Convolutional Neural Networks via Meta-learning. IJCNN Xuan Liu, Xiaoguang Wang, Stan Matwin
2018	J	`jnl`	Interpretable Deep Convolutional Neural Networks via Meta-learning. CoRR Xuan Liu, Xiaoguang Wang, Stan Matwin
2018	J	`jnl`	On feature selection and evaluation of transportation mode prediction strategies. CoRR Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin
2018	J	`jnl`	On the Importance of Attention in Meta-Learning for Few-Shot Text Classification. CoRR Xiang Jiang, Mohammad Havaei, Gabriel Chartrand, Hassan Chouaib, Thomas Vincent, Andrew Jesson, Nicolas Chapados, Stan Matwin
2018	—	`conf`	One Single Deep Bidirectional LSTM Network for Word Sense Disambiguation of Text Data. Canadian AI Ahmad Pesaranghader, Ali Pesaranghader, Stan Matwin, Marina Sokolova
2018	J	`jnl`	One Single Deep Bidirectional LSTM Network for Word Sense Disambiguation of Text Data. CoRR Ahmad Pesaranghader, Ali Pesaranghader, Stan Matwin, Marina Sokolova
2018	—	`conf`	Predicting Crime Using Spatial Features. Canadian AI Fateha Khanam Bappee, Amílcar Soares Júnior, Stan Matwin
2018	J	`jnl`	Predicting Crime Using Spatial Features. CoRR Fateha Khanam Bappee, Amílcar Soares Júnior, Stan Matwin
2018	—	`conf`	Predicting Transportation Modes of GPS Trajectories Using Feature Engineering and Noise Removal. Canadian AI Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin
2018	J	`jnl`	Predicting Transportation Modes of GPS Trajectories using Feature Engineering and Noise Removal. CoRR Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin
2018	A*	`conf`	Spectral Word Embedding with Negative Sampling. AAAI Behrouz Haji Soleimani, Stan Matwin
2017	J	`jnl`	A Multi-dimensional Privacy-aware Evaluation Function in Automatic Feature Selection. Trans. Data Priv. Yasser Jafer, Stan Matwin, Marina Sokolova
2017	J	`jnl`	A fast and noise resilient cluster-based anomaly detection. Pattern Anal. Appl. Elnaz Bigdeli, Mahdi Mohammadi, Bijan Raahemi, Stan Matwin
2017	J	`jnl`	ANALYTiC: An Active Learning System for Trajectory Classification. IEEE Computer Graphics and Applications Amílcar Soares Júnior, Chiara Renso, Stan Matwin
2017	—	`conf`	Active Learning with Visualization for Text Data. ESIDA@IUI Lulu Huang, Stan Matwin, Eder J. de Carvalho, Rosane Minghim
2017	—	`conf`	Deep Multi-cultural Graph Representation Learning. Canadian AI Sima Sharifirad, Stan Matwin
2017	B	`conf`	Improving point-based AIS trajectory classification with partition-wise gated recurrent units. IJCNN Xiang Jiang, Xuan Liu, Erico N. de Souza, Baifan Hu, Daniel L. Silver, Stan Matwin
2017	—	`conf`	Manifold Learning of Overcomplete Feature Spaces in a Multimodal Biometric Recognition System of Iris and Palmprint. CRV Habibeh Naderi, Behrouz Haji Soleimani, Stan Matwin
2017	B	`conf`	Partition-wise Recurrent Neural Networks for Point-based AIS Trajectory Classification. ESANN Xiang Jiang, Erico N. de Souza, Xuan Liu, Behrouz Haji Soleimani, Xiaoguang Wang, Daniel L. Silver, Stan Matwin
2017	—	`ch.`	Privacy-Related Aspects and Techniques. Encyclopedia of Machine Learning and Data Mining Stan Matwin
2017	—	`conf`	Reflexive Regular Equivalence for Bipartite Data. Canadian AI Aaron Gerow, Mingyang Zhou, Stan Matwin, Feng Shi
2017	J	`jnl`	Reflexive Regular Equivalence for Bipartite Data. CoRR Aaron Gerow, Mingyang Zhou, Stan Matwin, Feng Shi
2017	J	`jnl`	Special issue on discovery science. Mach. Learn. Nathalie Japkowicz, Stan Matwin
2017	J	`jnl`	Studying Positive Speech on Twitter. CoRR Marina Sokolova, Vera Sazonova, Kanyi Huang, Rudraneel Chakraboty, Stan Matwin
2017	J	`jnl`	TrajectoryNet: An Embedded GPS Trajectory Representation for Point-based Classification Using Recurrent Neural Networks. CoRR Xiang Jiang, Erico N. de Souza, Ahmad Pesaranghader, Baifan Hu, Daniel L. Silver, Stan Matwin
2017	—	`conf`	TrajectoryNet: an embedded GPS trajectory representation for point-based classification using recurrent neural networks. CASCON Xiang Jiang, Erico N. de Souza, Ahmad Pesaranghader, Baifan Hu, Daniel L. Silver, Stan Matwin
2016	C	`conf`	Big Water Meets Big Data: Analytics of the AIS Ship Tracking Data. FedCSIS Stan Matwin
2016	—	`book`	Challenges in Computational Statistics and Data Mining Challenges in Computational Statistics and Data Mining Stan Matwin, Jan Mielniczuk
2016	J	`jnl`	Ensembles of label noise filters: a ranking approach. Data Min. Knowl. Discov. Luís Paulo F. Garcia, Ana Carolina Lorena, Stan Matwin, André Carlos Ponce de Leon Ferreira de Carvalho
2016	A*	`conf`	Fast Unsupervised Online Drift Detection Using Incremental Kolmogorov-Smirnov Test. KDD Denis Moreira dos Reis, Peter A. Flach, Stan Matwin, Gustavo E. A. P. A. Batista
2016	—	`conf`	Fishing Activity Detection from AIS Data Using Autoencoders. Canadian AI Xiang Jiang, Daniel L. Silver, Baifan Hu, Erico N. de Souza, Stan Matwin
2016	—	`conf`	Fusing Iris, Palmprint and Fingerprint in a Multi-biometric Recognition System. CRV Habibeh Naderi, Behrouz Haji Soleimani, Stan Matwin, Babak Nadjar Araabi, Hamid Soltanian-Zadeh
2016	C	`conf`	Identifying Fishing Activities from AIS Data with Conditional Random Fields. FedCSIS Baifan Hu, Xiang Jiang, Erico N. de Souza, Ronald Pelot, Stan Matwin
2016	C	`conf`	Nonlinear Dimensionality Reduction by Unit Ball Embedding (UBE) and Its Application to Image Clustering. ICMLA Behrouz Haji Soleimani, Stan Matwin
2016	—	`ch.`	Personal Privacy Protection in Time of Big Data. Challenges in Computational Statistics and Data Mining Marina Sokolova, Stan Matwin
2016	—	`conf`	Predicting annual average daily highway traffic from large data and very few measurements. IEEE BigData Tomasz Tajmajer, Malwina Splawinska, Piotr Wasilewski, Stan Matwin
2016	—	`ed.`	Proceedings of the Workshop on Interactions between Data Mining and Natural Language Processing, DMNLP 2016, co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2016, Riva del Garda, Italy, September 23, 2016. DMNLP@PKDD/ECML Peggy Cellier, Thierry Charnois, Andreas Hotho, Stan Matwin, Marie-Francine Moens, Yannick Toussaint
2016	J	`jnl`	Topic Modelling and Event Identification from Twitter Textual Data. CoRR Marina Sokolova, Kanyi Huang, Stan Matwin, Joshua Ramisch, Vera Sazonova, Renee Black, Chris Orwa, Sidney Ochieng, Nanjira Sambuli
2016	C	`conf`	Using Classification in the Preprocessing Step on Wi-Fi Data as an Enabler of Physical Analytics. ICMLA Hossein Sarshar, Stan Matwin
2016	J	`jnl`	YOURPRIVACYPROTECTOR, A recommender system for privacy settings in social networks. CoRR Kambiz Ghazinour, Stan Matwin, Marina Sokolova
2016	J	`jnl`	simDEF: definition-based semantic similarity measure of gene ontology terms for functional similarity analysis of genes. Bioinform. Ahmad Pesaranghader, Stan Matwin, Marina Sokolova, Robert G. Beiko
2015	—	`conf`	A Density-Penalized Distance Measure for Clustering. Canadian AI Behrouz Haji Soleimani, Stan Matwin, Erico N. de Souza
2015	—	`ch.`	A Review of Attribute Disclosure Control. Advanced Research in Data Privacy Stan Matwin, Jordi Nin, Morvarid Sehatkar, Tomasz Szapiro
2015	C	`conf`	A framework for a privacy-aware feature selection evaluation measure. PST Yasser Jafer, Stan Matwin, Marina Sokolova
2015	J	`jnl`	A review on particle swarm optimization algorithm and its variants to clustering high-dimensional data. Artif. Intell. Rev. Ahmed Ali Abdalla Esmin, Rodrigo A. Coelho, Stan Matwin
2015	—	`conf`	A spatio-temporal network model to represent and analyze LBSNs. PerCom Workshops Bruno Neiva Moreno, Valéria Cesário Times, Stan Matwin
2015	C	`conf`	Anomaly detection in maritime data based on geometrical analysis of trajectories. FUSION Behrouz Haji Soleimani, Erico N. de Souza, Casey Hilliard, Stan Matwin
2015	—	`conf`	Data science workshop: experience driven analytics. CASCON Joanna Ng, Frank Dehne, Stan Matwin, Herna L. Viktor, Olga Baysal
2015	B	`ed.`	Discovery Science - 18th International Conference, DS 2015, Banff, AB, Canada, October 4-6, 2015, Proceedings Discovery Science Nathalie Japkowicz, Stan Matwin
2015	—	`conf`	From Argumentation Mining to Stance Classification. ArgMining@HLT-NAACL Parinaz Sobhani, Diana Inkpen, Stan Matwin
2015	J	`jnl`	GRASP-UTS: an algorithm for unsupervised trajectory segmentation. Int. J. Geogr. Inf. Sci. Amílcar Soares Júnior, Bruno Neiva Moreno, Valéria Cesário Times, Stan Matwin, Lucídio dos Anjos Formiga Cabral
2015	—	`conf`	Incremental Cluster Updating Using Gaussian Mixture Model. Canadian AI Elnaz Bigdeli, Mahdi Mohammadi, Bijan Raahemi, Stan Matwin
2015	C	`conf`	MUSETS: Diversity-Aware Web Query Suggestions for Shortening User Sessions. ISMIS Marcin Sydow, Cristina Ioana Muntean, Franco Maria Nardini, Stan Matwin, Fabrizio Silvestri
2015	J	`jnl`	Meta-MapReduce for scalable data mining. J. Big Data Xuan Liu, Xiaoguang Wang, Stan Matwin, Nathalie Japkowicz
2015	—	`conf`	Privacy-aware Wrappers. Canadian AI Yasser Jafer, Stan Matwin, Marina Sokolova
2015	—	`ed.`	Proceedings of the Workshop on Interactions between Data Mining and Natural Language Processing, DMNLP 2015, co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2015), Porto, Portugal, September 07, 2015. DMNLP@PKDD/ECML Peggy Cellier, Thierry Charnois, Andreas Hotho, Stan Matwin, Marie-Francine Moens, Yannick Toussaint
2015	B	`conf`	Sanitization of Call Detail Records via Differentially-Private Bloom Filters. DBSec Mohammad Alaggan, Sébastien Gambs, Stan Matwin, Mohammed Tuhin
2015	C	`conf`	Ship movement anomaly detection using specialized distance measures. FUSION Bo Liu, Erico N. de Souza, Casey Hilliard, Stan Matwin
2014	—	`conf`	A distributed instance-weighted SVM algorithm on large-scale imbalanced datasets. IEEE BigData Xiaoguang Wang, Xuan Liu, Stan Matwin
2014	—	`conf`	A multi-view two-level classification method for generalized multi-instance problems. IEEE BigData Xiaoguang Wang, Xuan Liu, Stan Matwin, Nathalie Japkowicz, Hongyu Guo
2014	—	`conf`	A non-technical XACML target editor for dynamic access control systems. CTS Bernard Stepien, Amy P. Felty, Stan Matwin
2014	—	`conf`	Applying instance-weighted support vector machines to class imbalanced datasets. IEEE BigData Xiaoguang Wang, Xuan Liu, Stan Matwin, Nathalie Japkowicz
2014	—	`conf`	Arbitrary Shape Cluster Summarization with Gaussian Mixture Model. KDIR Elnaz Bigdeli, Mahdi Mohammadi, Bijan Raahemi, Stan Matwin
2014	J	`jnl`	Automated Approach To Classification Of Mine-Like Objects Using Multiple-Aspect Sonar Images. J. Artif. Intell. Soft Comput. Res. Xiaoguang Wang, Xuan Liu, Nathalie Japkowicz, Stan Matwin
2014	B	`conf`	Automatic Target Recognition using multiple-aspect sonar images. IEEE Congress on Evolutionary Computation Xiaoguang Wang, Xuan Liu, Nathalie Japkowicz, Stan Matwin, Bao Nguyen
2014	B	`conf`	Challenges of Composing XACML Policies. ARES Bernard Stepien, Amy P. Felty, Stan Matwin
2014	—	`conf`	Cluster Summarization with Dense Region Detection. IC3K (Selected Papers) Elnaz Bigdeli, Mahdi Mohammadi, Bijan Raahemi, Stan Matwin
2014	—	`conf`	Clustering-based Multidimensional Sequence Data Anonymization. EDBT/ICDT Workshops Morvarid Sehatkar, Stan Matwin
2014	J	`jnl`	Combining Binary Classifiers for a Multiclass Problem with Differential Privacy. Trans. Data Priv. Vera Sazonova, Stan Matwin
2014	J	`jnl`	Dream sentiment analysis using second order soft co-occurrences (SOSCO) and time course representations. J. Intell. Inf. Syst. Amir Hossein Razavi, Stan Matwin, Joseph De Koninck, Ray Reza Amini
2014	—	`conf`	Efficient Private Information Retrieval for Geographical Aggregation. EUSPN/ICTH Fida Kamal Dankar, Khaled El Emam, Stan Matwin
2014	—	`conf`	Ensemble of Multiple Kernel SVM Classifiers. Canadian AI Xiaoguang Wang, Xuan Liu, Nathalie Japkowicz, Stan Matwin
2014	—	`conf`	Knowledge-based clustering of ship trajectories using density-based approach. IEEE BigData Bo Liu, Erico N. de Souza, Stan Matwin, Marcin Sydow
2014	—	`conf`	Learning from Imbalanced Data Using Ensemble Methods and Cluster-Based Undersampling. NFMCP Parinaz Sobhani, Herna L. Viktor, Stan Matwin
2014	—	`conf`	Privacy-aware filter-based feature selection. IEEE BigData Yasser Jafer, Stan Matwin, Marina Sokolova
2014	—	`ed.`	Proceedings of the 1st International Workshop on Interactions between Data Mining and Natural Language Processing co-located with The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, DMNLP@PKDD/ECML 2014, Nancy, France, September 15, 2014. DMNLP@PKDD/ECML Peggy Cellier, Thierry Charnois, Andreas Hotho, Stan Matwin, Marie-Francine Moens, Yannick Toussaint
2014	B	`conf`	Processing OLAP Queries over an Encrypted Data Warehouse Stored in the Cloud. DaWaK Claudivan Cruz Lopes, Valéria Cesário Times, Stan Matwin, Ricardo Rodrigues Ciferri, Cristina Dutra de Aguiar Ciferri
2014	—	`conf`	Secure Multi-Party linear Regression. EDBT/ICDT Workshops Fida Kamal Dankar, Renaud Brien, Carlisle Adams, Stan Matwin
2014	—	`conf`	Task Oriented Privacy Preserving Data Publishing Using Feature Selection. Canadian AI Yasser Jafer, Stan Matwin, Marina Sokolova
2014	J	`jnl`	Towards Cloud Data Warehouses of Multivalued Encrypted Values. J. Inf. Data Manag. Claudivan Cruz Lopes, Valéria Cesário Times, Stan Matwin
2014	—	`conf`	Traffic classification with on-line ensemble method. GIIS Erico N. de Souza, Stan Matwin, Stenio F. L. Fernandes
2014	—	`conf`	Using Feature Selection to Improve the Utility of Differentially Private Data Publishing. EUSPN/ICTH Yasser Jafer, Stan Matwin, Marina Sokolova
2014	—	`conf`	Vessel route anomaly detection with Hadoop MapReduce. IEEE BigData Xiaoguang Wang, Xuan Liu, Bo Liu, Erico N. de Souza, Stan Matwin
2014	—	`conf`	Weka-SAT: A Hierarchical Context-Based Inference Engine to Enrich Trajectories with Semantics. Canadian AI Bruno Moreno, Amílcar Soares Júnior, Valéria Cesário Times, Patrícia C. A. R. Tedesco, Stan Matwin
2013	—	`conf`	An Ensemble Method Based on AdaBoost and Meta-Learning. Canadian AI Xuan Liu, Xiaoguang Wang, Nathalie Japkowicz, Stan Matwin
2013	Misc	`conf`	Authorship Attribution in Health Forums. RANLP Victoria Bobicev, Marina Sokolova, Khaled El Emam, Stan Matwin
2013	—	`conf`	Cost-Sensitive Boosting Algorithms for Imbalanced Multi-instance Datasets. Canadian AI Xiaoguang Wang, Stan Matwin, Nathalie Japkowicz, Xuan Liu
2013	—	`conf`	Detecting Health-Related Privacy Leaks in Social Networks Using Text Mining Tools. Canadian AI Kambiz Ghazinour, Marina Sokolova, Stan Matwin
2013	C	`conf`	HALT: Hybrid anonymization of longitudinal transactions. PST Morvarid Sehatkar, Stan Matwin
2013	Misc	`conf`	How Joe and Jane Tweet about Their Health: Mining for Personal Health Information on Twitter. RANLP Marina Sokolova, Stan Matwin, Yasser Jafer, David Schramm
2013	—	`conf`	Improvements to Boosting with Data Streams. Canadian AI Erico N. de Souza, Stan Matwin
2013	—	`conf`	Inner Ensembles: Using Ensemble Methods Inside the Learning Algorithm. ECML/PKDD (3) Houman Abbasian, Chris Drummond, Nathalie Japkowicz, Stan Matwin
2013	—	`conf`	Meta-learning for large scale machine learning with MapReduce. IEEE BigData Xuan Liu, Xiaoguang Wang, Stan Matwin, Nathalie Japkowicz
2013	—	`conf`	Monitoring and recommending privacy settings in social networks. EDBT/ICDT Workshops Kambiz Ghazinour, Stan Matwin, Marina Sokolova
2013	—	`conf`	Network traffic classification using AdaBoost Dynamic. ICC Workshops Erico N. de Souza, Stan Matwin, Stenio Fernandes
2013	—	`ch.`	Privacy-Preserving Data Mining Techniques: Survey and Challenges. Discrimination and Privacy in the Information Society Stan Matwin
2013	—	`conf`	Resampling and Cost-Sensitive Methods for Imbalanced Multi-instance Learning. ICDM Workshops Xiaoguang Wang, Xuan Liu, Nathalie Japkowicz, Stan Matwin
2012	B	`conf`	An Algorithm for Compression of XACML Access Control Policy Sets by Recursive Subsumption. ARES Bernard Stepien, Stan Matwin, Amy P. Felty
2012	C	`conf`	Data Clustering Using Hybrid Particle Swarm Optimization. IDEAL Ahmed Ali Abdalla Esmin, Stan Matwin
2012	J	`jnl`	Direct comparison between support vector machine and multinomial naive Bayes algorithms for medical abstract classification. J. Am. Medical Informatics Assoc. Stan Matwin, Vera Sazonova
2012	—	`conf`	French presidential elections: what are the most efficient measures for tweets? PLEAD@CIKM Flavien Bouillot, Pascal Poncelet, Mathieu Roche, Dino Ienco, Elnaz Bigdeli, Stan Matwin
2012	—	`conf`	Hierarchical Classification Approach to Emotion Recognition in Twitter. ICMLA (2) Ahmed Ali Abdalla Esmin, Roberto L. de Oliveira Jr., Stan Matwin
2012	—	`conf`	How to Extract Relevant Knowledge from Tweets? ISIP Flavien Bouillot, Phan Nhat Hai, Nicolas Béchet, Sandra Bringay, Dino Ienco, Stan Matwin, Pascal Poncelet, Mathieu Roche, Maguelonne Teisseire
2012	—	`conf`	Improvements to AdaBoost Dynamic. Canadian AI Erico N. de Souza, Stan Matwin
2012	J	`jnl`	Improving multi-view semi-supervised learning with agreement-based sampling. Intell. Data Anal. Jin Huang, Jelber Sayyad-Shirabad, Stan Matwin, Jiang Su
2012	—	`conf`	Using SVM with Adaptively Asymmetric MisClassification Costs for Mine-Like Objects Detection. ICMLA (2) Xiaoguang Wang, Hang Shao, Nathalie Japkowicz, Stan Matwin, Xuan Liu, Alex Bourque, Bao Nguyen
2011	C	`conf`	Advantages of a non-technical XACML notation in role-based models. PST Bernard Stepien, Stan Matwin, Amy P. Felty
2011	J	`jnl`	Annotation concept synthesis and enrichment analysis: a logic-based approach to the interpretation of high-throughput experiments. Bioinform. Mikhail Jiline, Stan Matwin, Marcel Turcotte
2011	—	`conf`	Classifying Severely Imbalanced Data. Canadian AI William Klement, Szymon Wilk, Wojtek Michalowski, Stan Matwin
2011	—	`conf`	Email classification with co-training. CASCON Svetlana Kiritchenko, Stan Matwin
2011	J	`jnl`	Exploiting the systematic review protocol for classification of medical abstracts. Artif. Intell. Medicine Oana Frunza, Diana Inkpen, Stan Matwin, William Klement, Peter O'Blenis
2011	—	`conf`	Extending AdaBoost to Iteratively Vary Its Base Classifiers. Canadian AI Erico N. de Souza, Stan Matwin
2011	A*	`conf`	Large Scale Text Classification using Semisupervised Multinomial Naive Bayes. ICML Jiang Su, Jelber Sayyad Shirab, Stan Matwin
2011	J	`jnl`	Letter: Performance of SVM and Bayesian classifiers on the systematic review classification task. J. Am. Medical Informatics Assoc. Stan Matwin, Alexandre Kouznetsov, Diana Inkpen, Oana Frunza, Peter O'Blenis
2011	—	`conf`	Smooth Receiver Operating Characteristics (smROC) Curves. ECML/PKDD (2) William Klement, Peter A. Flach, Nathalie Japkowicz, Stan Matwin
2010	J	`jnl`	A Tree-Based Decision Model to Support Prediction of the Severity of Asthma Exacerbations in Children. J. Medical Syst. Ken Farion, Wojtek Michalowski, Szymon Wilk, Dympna O'Sullivan, Stan Matwin
2010	J	`jnl`	A new algorithm for reducing the workload of experts in performing systematic reviews. J. Am. Medical Informatics Assoc. Stan Matwin, Alexandre Kouznetsov, Diana Inkpen, Oana Frunza, Peter O'Blenis
2010	—	`conf`	Annotation Concept Synthesis and Enrichment Analysis. Canadian AI Mikhail Jiline, Stan Matwin, Marcel Turcotte
2010	—	`conf`	Building Systematic Reviews Using Automatic Text Classification Techniques. COLING (Posters) Oana Frunza, Diana Inkpen, Stan Matwin
2010	A	`conf`	Classification of Dreams Using Machine Learning. ECAI Stan Matwin, Joseph De Koninck, Amir Hossein Razavi, Ray Reza Amini
2010	J	`jnl`	Classifying data from protected statistical datasets. Comput. Secur. Javier Herranz, Stan Matwin, Jordi Nin, Vicenç Torra
2010	—	`ch.`	Data Privacy: From Technology to Economics. Advances in Machine Learning II Stan Matwin, Tomasz Szapiro
2010	—	`conf`	Improving Bayesian Learning Using Public Knowledge. Canadian AI Farid Seifi, Chris Drummond, Nathalie Japkowicz, Stan Matwin
2010	—	`conf`	Improving Co-training with Agreement-Based Sampling. RSCTC Jin Huang, Jelber Sayyad-Shirabad, Stan Matwin, Jiang Su
2010	—	`conf`	Offensive Language Detection Using Multi-level Classification. Canadian AI Amir Hossein Razavi, Diana Inkpen, Sasha Uritsky, Stan Matwin
2010	—	`ch.`	Privacy-Related Aspects and Techniques. Encyclopedia of Machine Learning Stan Matwin
2010	—	`conf`	Robustness of Classifiers to Changing Environments. Canadian AI Houman Abbasian, Chris Drummond, Nathalie Japkowicz, Stan Matwin
2010	B	`conf`	Strategies for Reducing Risks of Inconsistencies in Access Control Policies. ARES Bernard Stepien, Stan Matwin, Amy P. Felty
2009	—	`conf`	A Cryptographic Solution for Private Distributed Simple Meeting Scheduling. CCIA Javier Herranz, Stan Matwin, Pedro Meseguer, Jordi Nin
2009	—	`conf`	A Non-technical User-Oriented Display Notation for XACML Conditions. MCETECH Bernard Stepien, Amy P. Felty, Stan Matwin
2009	—	`conf`	Active Learning with Automatic Soft Labeling for Induction of Decision Trees. Canadian AI Jiang Su, Jelber Sayyad-Shirabad, Stan Matwin, Jin Huang
2009	—	`conf`	Classifying Biomedical Abstracts Using Committees of Classifiers and Collective Ranking Techniques. Canadian AI Alexandre Kouznetsov, Stan Matwin, Diana Inkpen, Amir Hossein Razavi, Oana Frunza, Morvarid Sehatkar, Leanne Seaward, Peter O'Blenis
2009	—	`conf`	Cost-Based Sampling of Individual Instances. Canadian AI William Klement, Peter A. Flach, Nathalie Japkowicz, Stan Matwin
2009	Misc	`conf`	Image Analysis and Machine Learning: How to Foster a Stronger Connection? ICIAP Stan Matwin
2009	—	`conf`	Parameterized Contrast in Second Order Soft Co-occurrences: A Novel Text Representation Technique in Text Mining and Knowledge Extraction. ICDM Workshops Amir Hossein Razavi, Stan Matwin, Diana Inkpen, Alexandre Kouznetsov
2009	—	`conf`	Privacy and Data Mining: New Developments and Challenges. EGC Stan Matwin
2008	A*	`conf`	Discriminative parameter learning for Bayesian networks. ICML Jiang Su, Harry Zhang, Charles X. Ling, Stan Matwin
2008	Misc	`conf`	Engineering of a Clinical Decision Support Framework for the Point of Care Use. AMIA Szymon Wilk, Wojtek Michalowski, Dympna O'Sullivan, Ken Farion, Stan Matwin
2008	C	`ed.`	Foundations of Intelligent Systems, 17th International Symposium, ISMIS 2008, Toronto, Canada, May 20-23, 2008, Proceedings ISMIS Aijun An, Stan Matwin, Zbigniew W. Ras, Dominik Slezak
2008	B	`conf`	Generation of Globally Relevant Continuous Features for Classification. PAKDD Sylvain Létourneau, Stan Matwin, A. Fazel Famili
2008	—	`ch.`	How to Prevent Private Data from being Disclosed to a Malicious Attacker. Data Mining: Foundations and Practice Justin Zhijun Zhan, Liwu Chang, Stan Matwin
2008	—	`ch.`	Privacy-Preserving Naive Bayesian Classification over Horizontally Partitioned Data. Data Mining: Foundations and Practice Justin Zhijun Zhan, Stan Matwin, Liwu Chang
2008	—	`conf`	Proper Model Selection with Significance Test. ECML/PKDD (1) Jin Huang, Charles X. Ling, Harry Zhang, Stan Matwin
2007	—	`conf`	A Concept-Based Framework for Retrieving Evidence to Support Emergency Physician Decision Making at the Point of Care. K4CARE Dympna O'Sullivan, Ken Farion, Stan Matwin, Wojtek Michalowski, Szymon Wilk
2007	—	`conf`	Formal correctness of conflict detection for firewalls. FMSE Venanzio Capretta, Bernard Stepien, Amy P. Felty, Stan Matwin
2007	—	`ed.`	Knowledge Discovery in Databases: PKDD 2007, 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Warsaw, Poland, September 17-21, 2007, Proceedings PKDD Joost N. Kok, Jacek Koronacki, Ramón López de Mántaras, Stan Matwin, Dunja Mladenic, Andrzej Skowron
2007	—	`ed.`	Machine Learning: ECML 2007, 18th European Conference on Machine Learning, Warsaw, Poland, September 17-21, 2007, Proceedings ECML Joost N. Kok, Jacek Koronacki, Ramón López de Mántaras, Stan Matwin, Dunja Mladenic, Andrzej Skowron
2007	J	`jnl`	Privacy-Preserving Data Mining in Electronic Surveys. Int. J. Netw. Secur. Justin Zhijun Zhan, Stan Matwin
2007	J	`jnl`	Privacy-preserving collaborative association rule mining. J. Netw. Comput. Appl. Justin Zhijun Zhan, Stan Matwin, Liwu Chang
2007	J	`jnl`	Privacy-preserving multi-party decision tree induction. Int. J. Bus. Intell. Data Min. Justin Zhijun Zhan, Stan Matwin, Liwu Chang
2007	J	`jnl`	Privacy-preserving support vector machine classification. Int. J. Intell. Inf. Database Syst. Justin Zhijun Zhan, Stan Matwin
2007	—	`conf`	Using Secondary Knowledge to Support Decision Tree Classification of Retrospective Clinical Data. MCD Dympna O'Sullivan, William Elazmeh, Szymon Wilk, Ken Farion, Stan Matwin, Wojtek Michalowski, Morvarid Sehatkar
2006	—	`conf`	A Crypto-Based Approach to Privacy-Preserving Collaborative Data Mining. ICDM Workshops Justin Zhijun Zhan, Stan Matwin
2006	—	`conf`	Beyond the Bag of Words: A Text Representation for Sentence Selection. Canadian AI Maria Fernanda Caropreso, Stan Matwin
2006	—	`conf`	Evaluating Misclassifications in Imbalanced Data. ECML William Elazmeh, Nathalie Japkowicz, Stan Matwin
2006	J	`jnl`	Inferring and revising theories with confidence: analyzing bilingualism in the 1901 canadian census. Appl. Artif. Intell. Chris Drummond, Stan Matwin, Chad Gaffield
2006	—	`conf`	Learning and Evaluation in the Presence of Class Hierarchies: Application to Text Categorization. Canadian AI Svetlana Kiritchenko, Stan Matwin, Richard Nock, A. Fazel Famili
2006	J	`jnl`	Parallelizing Feature Selection. Algorithmica Jerffeson Teixeira de Souza, Stan Matwin, Nathalie Japkowicz
2006	B	`conf`	Privacy-Oriented Collaborative Learning Systems. SMC Justin Zhijun Zhan, Stan Matwin
2006	—	`ch.`	Privacy-Preserving Collaborative Data Mining. Foundations and Novel Approaches in Data Mining Justin Zhijun Zhan, Liwu Chang, Stan Matwin
2006	—	`conf`	Unsupervised Named-Entity Recognition: Generating Gazetteers and Resolving Ambiguity. Canadian AI David Nadeau, Peter D. Turney, Stan Matwin
2005	Misc	`conf`	Building k-nearest neighbor classifiers on vertically partitioned private data. GrC Justin Zhijun Zhan, Liwu Chang, Stan Matwin
2005	—	`conf`	PEEP- An Information Extraction base approach for Privacy Protection in Email. CEAS Narjès Boufaden, William Elazmeh, Yimin Ma, Stan Matwin, Nour El-Kadri, Nathalie Japkowicz
2005	C	`conf`	PEEP- Privacy Enforcement in Email Project. PST Narjès Boufaden, William Elazmeh, Stan Matwin, Nathalie Japkowicz
2005	—	`conf`	Privacy Compliance Enforcement in Email. Canadian AI Quintin Armour, William Elazmeh, Nour El-Kadri, Nathalie Japkowicz, Stan Matwin
2005	J	`jnl`	Privacy Preserving K-nearest Neighbor Classification. Int. J. Netw. Secur. Justin Zhijun Zhan, Liwu Chang, Stan Matwin
2005	—	`conf`	Privacy in Data Mining Using Formal Methods. TLCA Stan Matwin, Amy P. Felty, István T. Hernádvölgyi, Venanzio Capretta
2005	B	`conf`	Privacy-Preserving Collaborative Association Rule Mining. DBSec Justin Zhijun Zhan, Stan Matwin, Liwu Chang
2005	A	`conf`	Privacy-Sensitive Information Flow with JML. CADE Guillaume Dufay, Amy P. Felty, Stan Matwin
2005	C	`conf`	Private Mining of Association Rules. ISI Justin Zhijun Zhan, Stan Matwin, Liwu Chang
2005	—	`conf`	STochFS: A Framework for Combining Feature Selection Outcomes Through a Stochastic Process. PKDD Jerffeson Teixeira de Souza, Nathalie Japkowicz, Stan Matwin
2004	J	`jnl`	A formal approach to using data distributions for building causal polytree structures. Inf. Sci. M. Ouerd, B. John Oommen, Stan Matwin
2004	—	`conf`	Bayesian Network Induction With Incomplete Private Data. ICEB Justin Zhijun Zhan, Liwu Chang, Stan Matwin
2004	—	`conf`	Email Classification with Temporal Features. Intelligent Information Systems Svetlana Kiritchenko, Stan Matwin, Suhayya Abu-Hakima
2004	J	`jnl`	Filtering Multi-Instance Problems to Reduce Dimensionality in Relational Learning. J. Intell. Inf. Syst. Érick Alphonse, Stan Matwin
2004	J	`jnl`	Guest Editorial. Mach. Learn. Stan Matwin
2004	A	`conf`	Mining the Software Change Repository of a Legacy Telephony System. MSR Jelber Sayyad-Shirabad, Timothy C. Lethbridge, Stan Matwin
2004	—	`conf`	Predictive Software Models. STEP Jelber Sayyad-Shirabad, Stan Matwin, Timothy C. Lethbridge
2004	—	`conf`	Privacy-Preserving Collaborative Association Rule Mining. ICEB Justin Zhijun Zhan, Stan Matwin, Nathalie Japkowicz, Liwu Chang
2004	—	`conf`	Privacy-Preserving Data Mining in Electronic Surveys. ICEB Justin Zhijun Zhan, Stan Matwin
2004	B	`conf`	Privacy-Preserving Multi-Party Decision Tree Induction. DBSec Justin Zhijun Zhan, Liwu Chang, Stan Matwin
2003	—	`conf`	Applying data mining to software maintenance records. CASCON Jelber Sayyad-Shirabad, Timothy C. Lethbridge, Stan Matwin
2003	Misc	`conf`	Case Authoring from Text and Historical Experiences. AI Marvin Zaluski, Nathalie Japkowicz, Stan Matwin
2003	Misc	`conf`	Enhancing Caching in Distributed Databases Using Intelligent Polytree Representations. AI Ouerd Messaouda, B. John Oommen, Stan Matwin
2003	B	`ed.`	Inductive Logic Programming, 12th International Conference, ILP 2002, Sydney, Australia, July 9-11, 2002. Revised Papers ILP Stan Matwin, Claude Sammut
2003	—	`conf`	Mining the Maintenance History of a Legacy Software System. ICSM Jelber Sayyad-Shirabad, Timothy Lethbridge, Stan Matwin
2002	C	`conf`	A Dynamic Approach to Dimensionality Reduction in Relational Learning. ISMIS Érick Alphonse, Stan Matwin
2002	B	`conf`	Data generation for testing DAG-structured Bayesian networks. SMC Ouerd Messaouda, B. John Oommen, Stan Matwin
2002	A*	`conf`	Feature Subset Selection and Inductive Logic Programming. ICML Érick Alphonse, Stan Matwin
2002	—	`conf`	Generalized Features: Their Application to Classification. AAAI/IAAI Svetlana Kiritchenko, Stan Matwin
2002	—	`conf`	Privacy-Oriented Data Mining by Proof Checking. PKDD Amy P. Felty, Stan Matwin
2001	Misc	`ed.`	Advances in Artificial Intelligence, 14th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2001, Ottawa, Canada, June 7-9, 2001, Proceedings AI Eleni Stroulia, Stan Matwin
2001	—	`conf`	Email classification with co-training. CASCON Svetlana Kiritchenko, Stan Matwin
2001	J	`jnl`	GENEX: a tool for testing in ILP. Softw. Pract. Exp. Johanne Morin, Stan Matwin
2001	—	`conf`	Supporting Software Maintenance by Mining Software Update Records. ICSM Jelber Sayyad-Shirabad, Timothy Lethbridge, Stan Matwin
2000	C	`conf`	A Formalism for Building Causal Polytree Structures Using Data Distributions. ISMIS M. Ouerd, B. John Oommen, Stan Matwin
2000	C	`conf`	Learning Relational Clichés with Contextual LGG. ISMIS Johanne Morin, Stan Matwin
2000	Misc	`conf`	Relational Learning with Transfer of Knowledge Between Domains. AI Johanne Morin, Stan Matwin
2000	—	`conf`	Supporting maintenance of legacy software with data mining techniques. CASCON Jelber Sayyad-Shirabad, Timothy C. Lethbridge, Stan Matwin
2000	—	`conf`	The Software for Cultures and the Cultures in Software. ECIS Gregory E. Kersten, Stan Matwin, Sunil J. Noronha, Mik Kersten
1999	J	`jnl`	Data mining to predict aircraft component replacement. IEEE Intell. Syst. Sylvain Létourneau, Fazel Famili, Stan Matwin
1999	A*	`conf`	Feature Engineering for Text Classification. ICML Sam Scott, Stan Matwin
1999	C	`conf`	Machine Learning Method for Software Quality Model Building. ISMIS Mauricio Amaral de Almeida, Stan Matwin
1998	—	`conf`	A Normalization Method for Contextual Data: Experience from a Large-Scale Application. ECML Sylvain Létourneau, Stan Matwin, Fazel Famili
1998	—	`conf`	Experiments with Learning Parsing Heuristics. COLING-ACL Sylvain Delisle, Sylvain Létourneau, Stan Matwin
1998	J	`jnl`	Machine Learning for the Detection of Oil Spills in Satellite Radar Images. Mach. Learn. Miroslav Kubat, Robert C. Holte, Stan Matwin
1998	—	`conf`	Predicate Invention from a Few Examples. Canadian AI Riverson Rios, Stan Matwin
1998	—	`conf`	Text Classification Using WordNet Hypernyms. WordNet@ACL/COLING Sam Scott, Stan Matwin
1997	A*	`conf`	Addressing the Curse of Imbalanced Training Sets: One-Sided Selection. ICML Miroslav Kubat, Stan Matwin
1997	J	`jnl`	Improving Image Classification by Combining Statistical, Case-Based and Model Based Prediction Methods. Fundam. Informaticae Peter Clark, Cao Feng, Stan Matwin, Ko Fung
1997	—	`conf`	Learning When Negative Examples Abound. ECML Miroslav Kubat, Robert C. Holte, Stan Matwin
1996	Misc	`conf`	Efficient Induction of Recursive Prolog Definitons. AI Riverson Rios, Stan Matwin
1996	Misc	`conf`	Planning and Learning in a Natural Resource Information System. AI Daniel Charlebois, David G. Goodenough, Stan Matwin, A. S. (Pal) Bhogal, Hugh Barclay
1995	A*	`conf`	A WordNet-based Algorithm for Word Sense Disambiguation. IJCAI Xiaobin Li, Stan Szpakowicz, Stan Matwin
1995	J	`jnl`	Guest Editors' Introduction: Environmental Applications of AI. IEEE Expert Cindy L. Mason, Stan Matwin
1995	J	`jnl`	Machine Learning and Planning for Data Management in Forestry. IEEE Expert Stan Matwin, Daniel Charlebois, David G. Goodenough, A. S. (Pal) Bhogal
1994	J	`jnl`	Automating reuse of software for expert system analysis of remote sensing data. IEEE Trans. Geosci. Remote. Sens. David G. Goodenough, Daniel Charlebois, Stan Matwin, Michael A. Robson
1994	—	`conf`	Inverting Implication with Small Training Sets. ECML David W. Aha, Stephane Lapointe, Charles X. Ling, Stan Matwin
1994	A*	`conf`	Learning Recursive Relations with Randomly Selected Small Training Sets. ICML David W. Aha, Stephane Lapointe, Charles X. Ling, Stan Matwin
1994	—	`conf`	Reuse of Modular Software with Automated Comment Analysis. ICSM Stan Matwin, Affa Ahmad
1993	J	`jnl`	A Case-Based Approach to Software Reuse. J. Intell. Inf. Syst. Gilles Fouqué, Stan Matwin
1993	A*	`conf`	Constructive Inductive Logic Programming. IJCAI Stephane Lapointe, Charles X. Ling, Stan Matwin
1993	B	`conf`	Enhancing Reuse of Smalltalk Methods by Conceptual Clustering. ICTAI R. Jetzelsperger, Stan Matwin, Franz Oppacher
1993	—	`conf`	Learning Domain Theories using Abstract Beckground Knowledge. ECML Peter Clark, Stan Matwin
1993	A*	`conf`	Using Qualitative Models to Guide Inductive Learning. ICML Peter Clark, Stan Matwin
1992	—	`conf`	CAESAR: a system for case based software reuse. KBSE Gilles Fouqué, Stan Matwin
1992	—	`conf`	Reusing database queries in analogical domains. KBSE Hamid Ould-Brahim, Stan Matwin
1992	—	`conf`	Sub-unification: A Tool for Efficient Induction of Recursive Programs. ML Stephane Lapointe, Stan Matwin
1991	C	`conf`	Explanation-based Learning Helps Acquire Knowledge from Natural Language Texts. ISMIS Sylvain Delisle, Stan Matwin, Jiandong Wang, Lionel Zupan
1991	J	`jnl`	Genetic algorithms approach to a negotiation support system. IEEE Trans. Syst. Man Cybern. Stan Matwin, Tomasz Szapiro, Karen Zita Haigh
1991	—	`conf`	Integrating EBL with automatic Text Analysis. EWSL Sylvain Delisle, Stan Matwin, Lionel Zupan
1991	—	`conf`	The Importance of Causal Structure and Facts in Evaluating Explanations. ML Mary Gick, Stan Matwin
1990	J	`jnl`	An Application of Explanation-Based Learning to Protocol Conformance Testing. IEEE Expert C. Geldrez, Stan Matwin, Johanne Morin, Robert L. Probert
1990	—	`conf`	Explanation-Based Learning with Incomplete Theories: A Three-step Approach. ML Jean Genest, Stan Matwin, Boris Plante
1990	J	`jnl`	LEW: Learning by Watching. IEEE Trans. Pattern Anal. Mach. Intell. Patrick Constant, Stan Matwin, Franz Oppacher
1989	J	`jnl`	Knowledge acquisition by incremental learning from problem-solution pairs. Comput. Intell. Stan Matwin, Franz Oppacher, Patrick Constant
1989	—	`conf`	Learning Procedural Knowledge in the EBG Context. ML Stan Matwin, Johanne Morin
1989	—	`conf`	NEGOPLAN: An Inference-Based Negotiation Support Tool. IFIP Congress Stan Matwin, Stan Szpakowicz, Zbig Koperczak
1989	J	`jnl`	Negoplan: an expert system shell for negotiation support. IEEE Expert Stan Matwin, Stan Szpakowicz, Zbig Koperczak, Gregory E. Kersten, Wojtek Michalowski
1988	C	`conf`	Learning by Watching: An Incremental Machine Learning Method that Acquires Rules by Conceptual Clustering. ISMIS Stan Matwin, Franz Oppacher
1988	—	`conf`	Measuring Quality of Concept Descriptions. EWSL Francesco Bergadano, Stan Matwin, Ryszard S. Michalski, Jianping Zhang
1988	C	`conf`	Representing and Acquiring Imprecise and Context-dependent Concepts in Knowledge-Based Systems. ISMIS Francesco Bergadano, Stan Matwin, Ryszard S. Michalski, Jianping Zhang
1987	—	`conf`	A Logic-Based Tools for Negotiation Support. SLP Stan Matwin, Stan Szpakowicz, Gregory E. Kersten, Wojtek Michalowski, Zbig Koperczak
1986	J	`jnl`	Copying of Dynamic Structures in a Pascal Environment. Softw. Pract. Exp. Kenneth Forsythe, Stan Matwin
1985	J	`jnl`	A Logic-Based Knowledge Source System for Natural Language Document. Data Knowl. Eng. Douglas R. Skuce, Stan Matwin, Branka Tauzovich, Franz Oppacher, Stan Szpakowicz
1985	J	`jnl`	Intelligent Backtracking in Plan-Based Deduction. IEEE Trans. Pattern Anal. Mach. Intell. Stan Matwin, Tomasz Pietrzykowski
1985	J	`jnl`	Prograph: A Preliminary Report. Comput. Lang. Stan Matwin, Tomasz Pietrzykowski
1984	A	`conf`	Implementation Strategies for Plan-Based Deduction. CADE Kenneth Forsythe, Stan Matwin
1983	B	`conf`	Intelligent Backtracking for Automated Deduction in FOL. Logic Programming Workshop Stan Matwin, Tomasz Pietrzykowski
1982	A	`conf`	Exponential Improvement of Efficient Backtracking: A Strategy for Plan-Based Deduction. CADE Tomasz Pietrzykowski, Stan Matwin
1982	A	`conf`	Exponential Improvement of Efficient Backtracking: data Structure and Implementation. CADE Stan Matwin, Tomasz Pietrzykowski
1978	J	`jnl`	A contribution to an improvement of PASCAL. ACM SIGPLAN Notices Michal Iglewski, Jan Madey, Stan Matwin
1977	J	`jnl`	An Experimental Investigation of Geschke's Method of Global Program Optimization. Inf. Process. Lett. Stan Matwin
1977	J	`jnl`	On the Completeness of a Set of Transformations Optimizing Linear Programs. Inf. Process. Lett. Stan Matwin
1976	J	`jnl`	A simple, machine independent tool for obtaining rough measures of PASCAL programs. ACM SIGPLAN Notices Stan Matwin, Marek Missala