• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 375 matches

• 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): 2653 (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): 89 (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. SoftwareX 28: 101952 (2024)
• 
  Martha Dais Ferreira, Zahra Sadeghi, Stan Matwin:
  Exploring autoregression patterns for automatic vessel type classification. J. Supercomput. 80(7): 9532-9553 (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 abs/2401.03406 (2024)
• 
  Nader Zare, Mahtab Sarvmaili, Aref Sayareh, Omid Amini, Stan Matwin, Amílcar Soares:
  Engineering Features to Improve Pass Prediction in Soccer Simulation 2D Games. CoRR abs/2401.03410 (2024)
• 
  Will Taylor-Melanson, Zahra Sadeghi, Stan Matwin:
  Causal Generative Explainers using Counterfactual Inference: A Case Study on the Morpho-MNIST Dataset. CoRR abs/2401.11394 (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 abs/2401.13098 (2024)
• 
  Zahra Sadeghi, Stan Matwin:
  A Review of Global Sensitivity Analysis Methods and a comparative case study on Digit Classification. CoRR abs/2406.16975 (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 abs/2407.08082 (2024)
• 2023
• 
  Stan Matwin, Aristides Milios, Pawel Pralat, Amílcar Soares, François Théberge:
  Generative Methods for Social Media Analysis. Springer Briefs in Computer Science, Springer 2023, ISBN 978-3-031-33616-4, pp. 1-67
• 
  Noah Barrett, Zahra Sadeghi, Stan Matwin:
  Evolutionary Augmentation Policy Optimization for Self-Supervised Learning. Adv. Artif. Intell. Mach. Learn. 3(2): 1135-1164 (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: 18821-18837 (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: 101953 (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: 102169 (2023)
• 
  Martha Dais Ferreira, Jessica N. A. 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): 660-683 (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)
• 
  Will Taylor-Melanson, Martha Dais Ferreira, Stan Matwin:
  SGORNN: Combining scalar gates and orthogonal constraints in recurrent networks. Neural Networks 159: 25-33 (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): 19365-19395 (2023)
• 
  Lubna Eljabu, Mohammad Etemad, Stan Matwin:
  Charting the Course of Ship Track Prediction: A Novel Approach for Maritime Traffic Analysis and Enhanced Situational Awareness. IEEE Big Data 2023: 2588-2597
• 
  Noah Barrett, Zahra Sadeghi, Stan Matwin:
  Evolutionary Augmentation Policy Optimization for Self-supervised Learning. CoRR abs/2303.01584 (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 abs/2305.19283 (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 abs/2307.16875 (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 abs/2310.18948 (2023)
• 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): 3051-3061 (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): 551-579 (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): 479-503 (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): 174-207 (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): 5368-5384 (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): 6063 (2022)

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