Stan Matwin

ORCID

Publication Activity (10 Years)

Years Active: 1976-2024
Publications (10 Years): 151

Top Venues

CoRR

Canadian Conference on AI

EDBT/ICDT Workshops

IEEE BigData

Publications

Nader Zare, Mahtab Sarvmaili, Aref Sayareh, Omid Amini, Stan Matwin, Amílcar Soares
Engineering Features to Improve Pass Prediction in Soccer Simulation 2D Games. CoRR (2024)
Zahra Sadeghi, Stan Matwin
A Review of Global Sensitivity Analysis Methods and a comparative case study on Digit Classification. CoRR (2024)
Will Taylor-Melanson, Zahra Sadeghi, Stan Matwin
Causal generative explainers using counterfactual inference: a case study on the Morpho-MNIST dataset. Pattern Anal. Appl. 27 (3) (2024)
Nader Zare, Omid Amini, Aref Sayareh, Mahtab Sarvmaili, Arad Firouzkouhi, Stan Matwin, Amílcar Soares
Improving Dribbling, Passing, and Marking Actions in Soccer Simulation 2D Games Using Machine Learning. CoRR (2024)
Hamed Jelodar, Rita Orji, Stan Matwin, Swarna Weerasinghe, Oladapo Oyebode, Yongli Wang
Correction to: Emotion detection and semantic trends during COVID-19 social isolation using artificial intelligence techniques. J. Ambient Intell. Humaniz. Comput. 15 (4) (2024)
Will Taylor-Melanson, Zahra Sadeghi, Stan Matwin
Causal Generative Explainers using Counterfactual Inference: A Case Study on the Morpho-MNIST Dataset. CoRR (2024)
Ruixin Song, Gabriel Spadon, Ronald Pelot, Stan Matwin, Amílcar Soares
Gravity-Informed Deep Learning Framework for Predicting Ship Traffic Flow and Invasion Risk of Non-Indigenous Species via Ballast Water Discharge. CoRR (2024)
Gabriel Spadon, Jay Kumar, Jinkun Chen, Matthew Smith, Casey Hilliard, Sarah Vela, Romina Gehrmann, Claudio DiBacco, Stan Matwin, Ronald Pelot
Maritime Tracking Data Analysis and Integration with AISdb. CoRR (2024)
Martha Dais Ferreira, Zahra Sadeghi, Stan Matwin
Exploring autoregression patterns for automatic vessel type classification. J. Supercomput. 80 (7) (2024)
Lubna Eljabu, Mohammad Etemad, Stan Matwin
Charting the Course of Ship Track Prediction: A Novel Approach for Maritime Traffic Analysis and Enhanced Situational Awareness. BigData (2023)
Will Taylor-Melanson, Martha Dais Ferreira, Stan Matwin
SGORNN: Combining scalar gates and orthogonal constraints in recurrent networks. Neural Networks 159 (2023)
Aref Sayareh, Nader Zare, Omid Amini, Arad Firouzkouhi, Mahtab Sarvmaili, Stan Matwin
Observation Denoising in CYRUS Soccer Simulation 2D Team For RoboCup 2023. CoRR (2023)
Gabriel Spadon, Martha Dais Ferreira, Amílcar Soares, Stan Matwin
Unfolding AIS Transmission Behavior for Vessel Movement Modeling on Noisy Data Leveraging Machine Learning. IEEE Access 11 (2023)
Noah Barrett, Zahra Sadeghi, Stan Matwin
Evolutionary Augmentation Policy Optimization for Self-Supervised Learning. Adv. Artif. Intell. Mach. Learn. 3 (2) (2023)
Noah Barrett, Zahra Sadeghi, Stan Matwin
Evolutionary Augmentation Policy Optimization for Self-supervised Learning. CoRR (2023)
Nader Zare, Aref Sayareh, Omid Amini, Mahtab Sarvmaili, Arad Firouzkouhi, Stan Matwin, Amílcar Soares
Pyrus Base: An Open Source Python Framework for the RoboCup 2D Soccer Simulation. CoRR (2023)
Gabriel Spadon, Jay Kumar, Matthew Smith, Sarah Vela, Romina Gehrmann, Derek Eden, Joshua van Berkel, Amílcar Soares, Ronan Fablet, Ronald Pelot, Stan Matwin
Building a Safer Maritime Environment Through Multi-Path Long-Term Vessel Trajectory Forecasting. CoRR (2023)
Jianzhe Zhao, Chenxi Huang, Wenji Wang, Rulin Xie, Rongrong Dong, Stan Matwin
Local differentially private federated learning with homomorphic encryption. J. Supercomput. 79 (17) (2023)
Martha Dais Ferreira, Jessica Campbell, Evan Purney, Amílcar Soares, Stan Matwin
Assessing compression algorithms to improve the efficiency of clustering analysis on AIS vessel trajectories. Int. J. Geogr. Inf. Sci. 37 (3) (2023)
Zahra Sadeghi, Stan Matwin
Anomaly detection for maritime navigation based on probability density function of error of reconstruction. J. Intell. Syst. 32 (1) (2023)
Bruno Padovese, Oliver S. Kirsebom, Fábio Frazão, Clair H. M. Evers, Wilfried A. M. Beslin, Jim Theriault, Stan Matwin
Adapting deep learning models to new acoustic environments - A case study on the North Atlantic right whale upcall. Ecol. Informatics 77 (2023)
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
FishSounds Version 1.0: A website for the compilation of fish sound production information and recordings. Ecol. Informatics 74 (2023)
Nader Zare, Omid Amini, Aref Sayareh, Mahtab Sarvmaili, Arad Firouzkouhi, Saba Ramezani Rad, Stan Matwin, Amílcar Soares
Cyrus2D Base: Source Code Base for RoboCup 2D Soccer Simulation League. RoboCup (2022)
Ahmad Pesaranghader, Stan Matwin, Marina Sokolova, Jean-Christophe Grenier, Robert G. Beiko, Julie Hussin
deepSimDEF: deep neural embeddings of gene products and gene ontology terms for functional analysis of genes. Bioinform. 38 (11) (2022)
Farshid Varno, Marzie Saghayi, Laya Rafiee, Sharut Gupta, Stan Matwin, Mohammad Havaei
Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation. CoRR (2022)
Emanuele Carlini, Vinicius Monteiro de Lira, Amílcar Soares, Mohammad Etemad, Bruno Brandoli, Stan Matwin
Understanding evolution of maritime networks from automatic identification system data. GeoInformatica 26 (3) (2022)
Nader Zare, Aref Sayareh, Mahtab Sarvmaili, Omid Amini, Amílcar Soares, Stan Matwin
CYRUS Soccer Simulation 2D Team Description Paper 2021. CoRR (2022)
Nader Zare, Omid Amini, Aref Sayareh, Mahtab Sarvmaili, Arad Firouzkouhi, Saba Ramezani Rad, Stan Matwin, Amílcar Soares
Cyrus2D base: Source Code Base for RoboCup 2D Soccer Simulation League. CoRR (2022)
Bettina Berendt, Stan Matwin, Chiara Renso, Fran Meissner, Francesca Pratesi, Alessandra Raffaetà, Geoffrey Rockwell
Mobility Data Mining: from Technical to Ethical (Dagstuhl Seminar 22022). Dagstuhl Reports 12 (1) (2022)
Emanuele Carlini, Vinicius Monteiro de Lira, Amílcar Soares, Mohammad Etemad, Bruno Brandoli, Stan Matwin
A Topological Perspective of Port Networks From Three Years (2017-2019) of AIS Data. SEBD (2022)
Mahtab Sarvmaili, Riccardo Guidotti, Anna Monreale, Amílcar Soares, Zahra Sadeghi, Fosca Giannotti, Dino Pedreschi, Stan Matwin
A Modularized Framework for Explaining Black Box Classifiers for Text Data. AI (2022)
Martha Dais Ferreira, Gabriel Spadon, Amílcar Soares, Stan Matwin
A Semi-Supervised Methodology for Fishing Activity Detection Using the Geometry behind the Trajectory of Multiple Vessels. Sensors 22 (16) (2022)
Bruno Brandoli, Alessandra Raffaetà, Marta Simeoni, Pedram Adibi, Fateha Khanam Bappee, Fabio Pranovi, Giulia Rovinelli, Elisabetta Russo, Claudio Silvestri, Amílcar Soares, Stan Matwin
From multiple aspect trajectories to predictive analysis: a case study on fishing vessels in the Northern Adriatic sea. GeoInformatica 26 (4) (2022)
Oladapo Oyebode, Chinenye Ndulue, Dinesh Mulchandani, Banuchitra Suruliraj, Ashfaq Adib, Fidelia Anulika Orji, Evangelos E. Milios, Stan Matwin, Rita Orji
COVID-19 Pandemic: Identifying Key Issues Using Social Media and Natural Language Processing. J. Heal. Informatics Res. 6 (2) (2022)
Lubna Eljabu, Mohammad Etemad, Stan Matwin
Spatial Clustering Method of Historical AIS Data for Maritime Traffic Routes Extraction. Big Data (2022)
Martha Dais Ferreira, Gabriel Spadon, Amílcar Soares, Stan Matwin
A semi-supervised geometric-driven methodology for supervised fishing activity detection on multi-source AIS tracking messages. CoRR (2022)
Gabriel Spadon, Shenda Hong, Bruno Brandoli, Stan Matwin, José F. Rodrigues Jr., Jimeng Sun
Pay Attention to Evolution: Time Series Forecasting With Deep Graph-Evolution Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Farshid Varno, Marzie Saghayi, Laya Rafiee Sevyeri, Sharut Gupta, Stan Matwin, Mohammad Havaei
AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation. ECCV (23) (2022)
Gabriel Spadon, Martha D. Ferreira, Amílcar Soares, Stan Matwin
Unfolding collective AIS transmission behavior for vessel movement modeling on irregular timing data using noise-robust neural networks. CoRR (2022)
Nader Zare, Arad Firouzkouhi, Omid Amini, Mahtab Sarvmaili, Aref Sayareh, Saba Ramezani Rad, Stan Matwin, Amílcar Soares
CYRUS Soccer Simulation 2D Team Description Paper 2022. CoRR (2022)
Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandé, 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
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Ethics Inf. Technol. 23 (S1) (2021)
Bruno Neiva Moreno, Valéria Cesário Times, Stan Matwin
Representation and analysis of spatiotemporal encounters published in online social networks. Soc. Netw. Anal. Min. 11 (1) (2021)
Fernando Henrique Oliveira Abreu, Amílcar Soares, Fernando V. Paulovich, Stan Matwin
Local Anomaly Detection In Maritime Traffic Using Visual Analytics. EDBT/ICDT Workshops (2021)
Hamed Jelodar, Rita Orji, Stan Matwin, Swarna Weerasinghe, Oladapo Oyebode, Yongli Wang
Artificial Intelligence for Emotion-Semantic Trending and People Emotion Detection During COVID-19 Social Isolation. CoRR (2021)
Fatemeh Rahimi, Evangelos E. Milios, Stan Matwin
MTLV: a library for building deep multi-task learning architectures. DocEng (2021)
Nader Zare, Mahtab Sarvmaili, Aref Sayareh, Omid Amini, Stan Matwin, Amílcar Soares
Engineering Features to Improve Pass Prediction in Soccer Simulation 2D Games. RoboCup (2021)
Stan Matwin, Aristides Milios, Pawel Pralat, Amílcar Soares, François Théberge
Survey of Generative Methods for Social Media Analysis. CoRR (2021)
Bruno Brandoli, André R. de Geus, Jefferson R. Souza, Gabriel Spadon, Amílcar Soares Júnior, José F. Rodrigues Jr., Jerzy Komorowski, Stan Matwin
Aircraft Fuselage Corrosion Detection Using Artificial Intelligence. Sensors 21 (12) (2021)
Mohammad Etemad, Amílcar Soares Júnior, Elham Etemad, Jordan Rose, Luís Torgo, Stan Matwin
SWS: an unsupervised trajectory segmentation algorithm based on change detection with interpolation kernels. GeoInformatica 25 (2) (2021)
Fernando Henrique Oliveira Abreu, Amílcar Soares Júnior, Fernando V. Paulovich, Stan Matwin
A Trajectory Scoring Tool for Local Anomaly Detection in Maritime Traffic Using Visual Analytics. ISPRS Int. J. Geo Inf. 10 (6) (2021)
Iraklis Varlamis, Ioannis Kontopoulos, Konstantinos Tserpes, Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin
Building navigation networks from multi-vessel trajectory data. GeoInformatica 25 (1) (2021)
Fateha Khanam Bappee, Amílcar Soares, Lucas May Petry, Stan Matwin
Examining the impact of cross-domain learning on crime prediction. J. Big Data 8 (1) (2021)
Jianzhe Zhao, Jie Mei, Stan Matwin, Yukai Su, Yuancheng Yang
Risk-Aware Individual Trajectory Data Publishing With Differential Privacy. IEEE Access 9 (2021)
Chiara Renso, Vania Bogorny, Konstantinos Tserpes, Stan Matwin, José Antônio Fernandes de Macêdo
Multiple-aspect analysis of semantic trajectories(MASTER). Int. J. Geogr. Inf. Sci. 35 (4) (2021)
Lubna Eljabu, Mohammad Etemad, Stan Matwin
Anomaly Detection in Maritime Domain based on Spatio-Temporal Analysis of AIS Data Using Graph Neural Networks. ICVISP (2021)
Nader Zare, Bruno Brandoli, Mahtab Sarvmaili, Amílcar Soares, Stan Matwin
Continuous Control with Deep Reinforcement Learning for Autonomous Vessels. CoRR (2021)
Giulia Rovinelli, Stan Matwin, Fabio Pranovi, Elisabetta Russo, Claudio Silvestri, Marta Simeoni, Alessandra Raffaetà
Multiple aspect trajectories: a case study on fishing vessels in the Northern Adriatic sea. EDBT/ICDT Workshops (2021)
Mahtab Sarvmaili, Amílcar Soares, Riccardo Guidotti, Anna Monreale, Fosca Giannotti, Dino Pedreschi, Stan Matwin
A modularized framework for explaining hierarchical attention networks on text classifiers. Canadian Conference on AI (2021)
Nader Zare, Omid Amini, Aref Sayareh, Mahtab Sarvmaili, Arad Firouzkouhi, Stan Matwin, Amílcar Soares
Improving Dribbling, Passing, and Marking Actions in Soccer Simulation 2D Games Using Machine Learning. RoboCup (2021)
Mohammad Etemad, Nader Zare, Mahtab Sarvmaili, Amílcar Soares Júnior, Bruno Brandoli Machado, Stan Matwin
Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments. CoRR (2020)
Gabriel Spadon, Shenda Hong, Bruno Brandoli, Stan Matwin, José F. Rodrigues Jr., Jimeng Sun
Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning. CoRR (2020)
Emanuele Carlini, Vinicius Monteiro de Lira, Amílcar Soares Júnior, Mohammad Etemad, Bruno Brandoli Machado, Stan Matwin
Uncovering vessel movement patterns from AIS data with graph evolution analysis. EDBT/ICDT Workshops (2020)
Farshid Varno, Lucas May Petry, Lisa Di-Jorio, Stan Matwin
Learn Faster and Forget Slower via Fast and Stable Task Adaptation. CoRR (2020)
Riccardo Guidotti, Anna Monreale, Stan Matwin, Dino Pedreschi
Black Box Explanation by Learning Image Exemplars in the Latent Feature Space. CoRR (2020)
Lucas May Petry, Amílcar Soares Júnior, Vania Bogorny, Bruno Brandoli, Stan Matwin
Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning. CoRR (2020)
Fateha Khanam Bappee, Lucas May Petry, Amílcar Soares Júnior, Stan Matwin
Analyzing the Impact of Foursquare and Streetlight Data with Human Demographics on Future Crime Prediction. CoRR (2020)
Riccardo Guidotti, Anna Monreale, Stan Matwin, Dino Pedreschi
Explaining Image Classifiers Generating Exemplars and Counter-Exemplars from Latent Representations. AAAI (2020)
Gashin Ghazizadeh, Mirerfan Gheibi, Stan Matwin
CB-DBSCAN: A Novel Clustering Algorithm for Adjacent Clusters with Different Densities. Canadian Conference on AI (2020)
Xiang Jiang, Qicheng Lao, Stan Matwin, Mohammad Havaei
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation. ICML (2020)
Oladapo Oyebode, Chinenye Ndulue, Dinesh Mulchandani, Banuchitra Suruliraj, Ashfaq Adib, Fidelia Anulika Orji, Evangelos E. Milios, Stan Matwin, Rita Orji
COVID-19 Pandemic: Identifying Key Issues using Social Media and Natural Language Processing. CoRR (2020)
Oliver S. Kirsebom, Fábio Frazão, Yvan Simard, Nathalie Roy, Stan Matwin, Samuel Giard
Performance of a Deep Neural Network at Detecting North Atlantic Right Whale Upcalls. CoRR (2020)
Lucas May Petry, Amílcar Soares Júnior, Vania Bogorny, Bruno Brandoli, Stan Matwin
Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning. Canadian Conference on AI (2020)
Mohammad Etemad, Zahra Etemad, Amílcar Soares Júnior, Vania Bogorny, Stan Matwin, Luís Torgo
Wise Sliding Window Segmentation: A classification-aided approach for trajectory segmentation. CoRR (2020)
Mohammad Etemad, Nader Zare, Mahtab Sarvmaili, Amílcar Soares Júnior, Bruno Brandoli Machado, Stan Matwin
Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments. Canadian Conference on AI (2020)
Xiaoyu Yang, Stephen Obadinma, Huasha Zhao, Qiong Zhang, Stan Matwin, Xiaodan Zhu
SemEval-2020 Task 5: Counterfactual Recognition. SemEval@COLING (2020)
Habibeh Naderi, Behrouz Haji Soleimani, Stan Matwin
Generating High-Fidelity Images with Disentangled Adversarial VAEs and Structure-Aware Loss. IJCNN (2020)
Xiaoyu Yang, Stephen Obadinma, Huasha Zhao, Qiong Zhang, Stan Matwin, Xiaodan Zhu
SemEval-2020 Task 5: Counterfactual Recognition. CoRR (2020)
Xiang Jiang, Qicheng Lao, Stan Matwin, Mohammad Havaei
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation. CoRR (2020)
Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandé, 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
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Trans. Data Priv. 13 (1) (2020)
Mohammad Etemad, Zahra Etemad, Amílcar Soares Júnior, Vania Bogorny, Stan Matwin, Luís Torgo
Wise Sliding Window Segmentation: A Classification-Aided Approach for Trajectory Segmentation. Canadian Conference on AI (2020)
Habibeh Naderi, Behrouz Haji Soleimani, Sheri Rempel, Stan Matwin, Rudolf Uher
Multimodal Deep Learning for Mental Disorders Prediction from Audio Speech Samples. CoRR (2019)
Pedram Adibi, Fabio Pranovi, Alessandra Raffaetà, Elisabetta Russo, Claudio Silvestri, Marta Simeoni, Amílcar Soares Júnior, Stan Matwin
Predicting Fishing Effort and Catch Using Semantic Trajectories and Machine Learning. MASTER@PKDD/ECML (2019)
Aristides Milios, Konstantina Bereta, Konstantinos Chatzikokolakis, Dimitris Zissis, Stan Matwin
Automatic Fusion of Satellite Imagery and AIS data for Vessel Detection. FUSION (2019)
Sima Sharifirad, Stan Matwin
When a Tweet is Actually Sexist. A more Comprehensive Classification of Different Online Harassment Categories and The Challenges in NLP. CoRR (2019)
Lucas May Petry, Amílcar Soares Júnior, Vania Bogorny, Stan Matwin
Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring. CoRR (2019)
Amílcar Soares Júnior, Jordan Rose, Mohammad Etemad, Chiara Renso, Stan Matwin
VISTA: A visual analytics platform for semantic annotation of trajectories. EDBT (2019)
Witold Dzwinel, Rafal Wcislo, Stan Matwin
2-D Embedding of Large and High-dimensional Data with Minimal Memory and Computational Time Requirements. CoRR (2019)
Farshid Varno, Behrouz Haji Soleimani, Marzie Saghayi, Lisa Di-Jorio, Stan Matwin
Efficient Neural Task Adaptation by Maximum Entropy Initialization. CoRR (2019)
Mark Thomas, Bruce Martin, Katie Kowarski, Briand J. Gaudet, Stan Matwin
Marine Mammal Species Classification using Convolutional Neural Networks and a Novel Acoustic Representation. CoRR (2019)
Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin, Luís Torgo
On Feature Selection and Evaluation of Transportation Mode Prediction Strategies. EDBT/ICDT Workshops (2019)
Xiang Jiang, Liqiang Ding, Mohammad Havaei, Andrew Jesson, Stan Matwin
Task Adaptive Metric Space for Medium-Shot Medical Image Classification. MICCAI (1) (2019)
Behrouz Haji Soleimani, Stan Matwin
Fast PMI-Based Word Embedding with Efficient Use of Unobserved Patterns. AAAI (2019)
Iraklis Varlamis, Konstantinos Tserpes, Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin
A Network Abstraction of Multi-vessel Trajectory Data for Detecting Anomalies. EDBT/ICDT Workshops (2019)
Duong Nguyen, Oliver S. Kirsebom, Fábio Frazão, Ronan Fablet, Stan Matwin
Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection. ICASSP (2019)
Ahmad Pesaranghader, Stan Matwin, Marina Sokolova, Ali Pesaranghader
deepBioWSD: effective deep neural word sense disambiguation of biomedical text data. J. Am. Medical Informatics Assoc. 26 (5) (2019)
Mohammad Etemad, Amílcar Soares Júnior, Arazoo Hoseyni, Jordan Rose, Stan Matwin
A Trajectory Segmentation Algorithm Based on Interpolation-based Change Detection Strategies. EDBT/ICDT Workshops (2019)
Amílcar Soares, Renata Dividino, Fernando Henrique Oliveira Abreu, Matthew Brousseau, Anthony W. Isenor, Sean Webb, Stan Matwin
CRISIS: Integrating AIS and Ocean Data Streams Using Semantic Web Standards for Event Detection. ICMCIS (2019)
Mark Thomas, Bruce Martin, Katie Kowarski, Briand J. Gaudet, Stan Matwin
Marine Mammal Species Classification Using Convolutional Neural Networks and a Novel Acoustic Representation. ECML/PKDD (3) (2019)
Duong Nguyen, Oliver S. Kirsebom, Fábio Frazão, Ronan Fablet, Stan Matwin
Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection. CoRR (2019)
Riccardo Guidotti, Anna Monreale, Stan Matwin, Dino Pedreschi
Black Box Explanation by Learning Image Exemplars in the Latent Feature Space. ECML/PKDD (1) (2019)

Stan Matwin.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Stan Matwin