Stan Matwin

Meridian Institute — United States

Computer Science · Physical Sciences

48h-index12.8kcitations492works2.52yr avg
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Research Topics

Privacy-Preserving Technologies in Data(54), Topic Modeling(42), Semantic Web and Ontologies(39), Maritime Navigation and Safety(39), Anomaly Detection Techniques and Applications(38)

Publications492 total

Sampling of natural speech for the assessment of psychopathology: data collection procedure and inter-rater reliability
Psychiatry Research·2025Open Access
A comparative case study on the performance of global sensitivity analysis methods on digit classification
Discover Data·2025Open Access
Monitoring harmful algae blooms in Darlings Lake, New Brunswick, using K-means clustering of multi-spectral imagery
Frontiers in Remote Sensing·2025Open Access
Privacy-preserved federated clustering with Non-IID data via GANs
The Journal of Supercomputing·2025· 1 cited
Maritime tracking data analysis and integration with AISdb
SoftwareX·2024· 12 citedOpen Access
Machine learning in analytical chemistry for cultural heritage: A comprehensive review
Journal of Cultural Heritage·2024· 15 cited
Multi-path long-term vessel trajectories forecasting with probabilistic feature fusion for problem shifting
Ocean Engineering·2024· 5 citedOpen Access
Causal generative explainers using counterfactual inference: a case study on the Morpho-MNIST dataset
Pattern Analysis and Applications·2024· 4 cited
Enhancing global maritime traffic network forecasting with gravity-inspired deep learning models
Scientific Reports·2024· 11 citedOpen Access
Maritime Tracking Data Analysis and Integration with AISdb
arXiv (Cornell University)·2024Open Access
A Review of Global Sensitivity Analysis Methods and a comparative case study on Digit Classification
arXiv (Cornell University)·2024· 2 citedOpen Access
Gravity-Informed Deep Learning Framework for Predicting Ship Traffic Flow and Invasion Risk of Non-Indigenous Species via Ballast Water Discharge
2024· 1 citedOpen Access
Correction to: Emotion detection and semantic trends during COVID-19 social isolation using artificial intelligence techniques
Journal of Ambient Intelligence and Humanized Computing·2024Open Access
Enhancing Global Maritime Traffic Network Forecasting with Gravity-Inspired Deep Learning Models
arXiv (Cornell University)·2024Open Access
Causal Generative Explainers using Counterfactual Inference: A Case Study on the Morpho-MNIST Dataset
arXiv (Cornell University)·2024Open Access
Improving Dribbling, Passing, and Marking Actions in Soccer Simulation 2D Games Using Machine Learning
arXiv (Cornell University)·2024Open Access
A Comparative Study of Machine Learning Algorithms on Datasets of Varying Sizes
Lecture notes in networks and systems·2024· 1 cited
City Recommender System: A Comparative Study of AI-Driven Approaches
Lecture notes in networks and systems·2024
A Computationally Inexpensive Method for Anomaly Detection in Maritime Trajectories from AIS Dataset
Lecture notes in networks and systems·2024· 1 cited
FishSounds Version 1.1: Data Archive, User Experience, and Online Resources
2024
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Frequent Co-authors

Svetlana Kiritchenko(4), Miroslav Kubát(3), Diana Inkpen(3), Érico N. de Souza(3), Peter Flach(3), Amílcar Soares(3), Robert C. Holte(2), Sam Scott(2), Kristina Boerder(2), Boris Worm(2), Fazel Famili(2), Gregory E. Kersten(2), Wojtek Michalowski(2), Su Jiang(2), Joost N. Kok(2), Ramón López de Mántaras(2), Dunja Mladenić(2), Andrzej Skowron(2), A. Fazel Famili(2), Stan Śzpakowicz(2)