World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
18842
World Ranking
4452
National Ranking
178

Overview

Stan Matwin is affiliated with Dalhousie University in Canada. Their research spans multiple fields within computer science and engineering, with a primary focus on artificial intelligence and related technologies. The scientist's work includes substantial contributions to areas such as ocean engineering and signal processing.

Their publication record demonstrates involvement in key subfields and topics, including:

  • Artificial Intelligence
  • Ocean Engineering
  • Signal Processing
  • Global and Planetary Change
  • Transportation

Main topics addressed in their research encompass:

  • Maritime Navigation and Safety
  • Human Mobility and Location-Based Analysis
  • Marine and Fisheries Research
  • Marine Animal Studies Overview
  • Anomaly Detection Techniques and Applications
  • Privacy-Preserving Technologies in Data
  • Time Series Analysis and Forecasting

Some of the recent papers by Stan Matwin explore a range of applications and developments in their fields, including:

  • Pay Attention to Evolution: Time Series Forecasting With Deep Graph-Evolution Learning, 2021, published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Performance of a deep neural network at detecting North Atlantic right whale upcalls, 2020, published in The Journal of the Acoustical Society of America
  • Aircraft Fuselage Corrosion Detection Using Artificial Intelligence, 2021, published in Sensors
  • Give more data, awareness and control to individual citizens, and they will help COVID-19 containment, 2021, published in CINECA IRIS Institutional research information system (University of Pisa)
  • Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation, 2020, published in arXiv (Cornell University)

The scientist has frequently published in several venues, including:

  • arXiv (Cornell University), 28 publications
  • The Journal of the Acoustical Society of America, 4 publications
  • GeoInformatica, 4 publications
  • Zenodo (CERN European Organization for Nuclear Research), 4 publications
  • The Journal of Supercomputing, 3 publications

Stan Matwin has collaborated extensively with a group of frequent coauthors, such as:

  • Amílcar Soares
  • Nader Zare
  • Mahtab Sarvmaili
  • Gabriel Spadon
  • Bruno Brandoli Machado

The scientist has also contributed to several book publications with renowned publishers. These include works published by Springer Science+Business Media, with titles like "Multiple-Aspect Analysis of Semantic Trajectories" and "Discovery Science," both released in 2020.

In 2023, Stan Matwin published "Generative Methods for Social Media Analysis" under Springer Nature. These book contributions reflect aspects of their research interests in artificial intelligence and data analysis.

Best Publications

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

    Miroslav Kubat;Stan Matwin

  • Machine Learning for the Detection of Oil Spills in Satellite Radar Images

    Miroslav Kubat;Robert C. Holte;Stan Matwin

  • Encyclopedia of Machine Learning and Data Mining

    Unknown

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

    Stan Matwin;Shipeng Yu;Faisal Farooq

  • Feature Engineering for Text Classification

    Sam Scott;Stan Matwin

  • Learning When Negative Examples Abound

    Miroslav Kubat;Robert Holte;Stan Matwin

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

    Ahmed A. Esmin;Rodrigo A. Coelho;Stan Matwin

  • Text Classification Using WordNet Hypernyms

    Sam Scott;Stan Matwin

  • Email classification with co-training

    Svetlana Kiritchenko;Stan Matwin

  • Offensive language detection using multi-level classification

    Amir H. Razavi;Diana Inkpen;Sasha Uritsky;Stan Matwin

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

    Maria Fernanda Caropreso;Stan Matwin;Fabrizio Sebastiani

  • Unsupervised named-entity recognition: generating gazetteers and resolving ambiguity

    David Nadeau;Peter D. Turney;Stan Matwin

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

    Erico N. de Souza;Kristina Boerder;Stan Matwin;Stan Matwin;Boris Worm

  • Strategies and Best Practices for Data Literacy Education: Knowledge Synthesis Report

    Chantel Ridsdale;James Rothwell;Michael Smit;Hossam Ali-Hassan

  • Knowledge Discovery in Databases: PKDD 2007

    Joost N. Kok;Jacek Koronacki;Ramon Lopez de Mantaras;Stan Matwin

  • Machine Learning: ECML 2007

    Joost N. Kok;Jacek Koronacki;Raomon Lopez de Mantaras;Stan Matwin

  • Fast Unsupervised Online Drift Detection Using Incremental Kolmogorov-Smirnov Test

    Denis Moreira dos Reis;Peter Flach;Stan Matwin;Gustavo Batista

  • A WordNet-based algorithm for word sense disambiguation

    Xiaobin Li;Stan Szpakowicz;Stan Matwin

  • Genetic algorithms approach to a negotiation support system

    S. Matwin;T. Szapiro;K. Haigh

  • Discriminative parameter learning for Bayesian networks

    Jiang Su;Harry Zhang;Charles X. Ling;Stan Matwin

  • Functional Annotation of Genes Using Hierarchical Text Categorization

    Svetlana Kiritchenko;Stan Matwin;Fazel Famili

  • Canadian Conference on Artificial Intelligence

    William Klement;Peter A Flach;Nathalie Japkowicz;Stan Matwin

Frequent Co-Authors

Nathalie Japkowicz
Nathalie Japkowicz American University
Stan Szpakowicz
Stan Szpakowicz University of Ottawa
Diana Inkpen
Diana Inkpen University of Ottawa
Timothy C. Lethbridge
Timothy C. Lethbridge University of Ottawa
Ryszard S. Michalski
Ryszard S. Michalski George Mason University
Dunja Mladenic
Dunja Mladenic Jožef Stefan Institute
Joost N. Kok
Joost N. Kok University of Twente
Svetlana Kiritchenko
Svetlana Kiritchenko National Research Council Canada
Peter A. Flach
Peter A. Flach University of Bristol
Dino Pedreschi
Dino Pedreschi University of Pisa

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