Matwin, Stan

1. Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation
   2020/06/09 by Xiang Jiang, Qicheng Lao, Jiang, Xiang +5 · 8 citations
   Computer Science · Medicine · #68T07 #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Respiratory viral infections research
2. TrajectoryNet: An Embedded GPS Trajectory Representation for Point-based Classification Using Recurrent Neural Networks
   2017/05/07 by Xiang Jiang, Jiang, Xiang, Érico N. de Souza +9 · 2 citations
   Social Sciences · Engineering · Computer Science · #Human Mobility and Location-Based Analysis #Automated Road and Building Extraction #Video Surveillance and Tracking Methods
3. Improving the Interpretability of Deep Neural Networks with Knowledge Distillation
   2018/12/28 by Xuan Liu, Liu, Xuan, Xiaoguang Wang +3 · 2 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
4. Black Box Explanation by Learning Image Exemplars in the Latent Feature Space
   2020/01/27 by Guidotti, Riccardo, Monreale, Anna, Matwin, Stan +1 · 2 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
5. SemEval-2020 Task 5: Counterfactual Recognition
   2020/08/02 by Xiaoyu Yang, Yang, Xiaoyu, Stephen Obadinma +9 · 2 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Topic Modeling
6. Maritime Tracking Data Analysis and Integration with AISdb
   2024/07/10 by Gabriel Spadon, Spadon, Gabriel, Jay Kumar +17 · 4 citations
   Engineering · #Databases (cs.DB) #FOS: Computer and information sciences #Maritime Navigation and Safety
7. On the Importance of Attention in Meta-Learning for Few-Shot Text Classification
   2018/06/03 by Xiang Jiang, Jiang, Xiang, Mohammad Havaei +13 · 1 citation
   Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Topic Modeling
8. Marine Mammal Species Classification using Convolutional Neural Networks and a Novel Acoustic Representation
   2019/07/30 by Thomas, Mark, Martin, Bruce, Kowarski, Katie +2 · 1 citation
   #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sound (cs.SD) #electronic engineering #information engineering
9. Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning
   2020/04/07 by Lucas May Petry, Petry, Lucas May, A. Soares +7 · 1 citation
   Computer Science · Engineering · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Maritime Navigation and Safety #Network Security and Intrusion Detection
10. Interpretable Deep Convolutional Neural Networks via Meta-learning
    2018/02/02 by Xuan Liu, Xiaoguang Wang, Liu, Xuan +3 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
11. Enhancing Global Maritime Traffic Network Forecasting with Gravity-Inspired Deep Learning Models
    2024/01/23 by Ruixin Song, Gabriel Spadon, Song, Ruixin +7 · 1 citation
    Environmental Science · Biochemistry, Genetics and Molecular Biology · #Marine Ecology and Invasive Species #Identification and Quantification in Food #Turtle Biology and Conservation
12. Causal Generative Explainers using Counterfactual Inference: A Case Study on the Morpho-MNIST Dataset
    2024/01/21 by Will Taylor-Melanson, Zahra Sadeghi, Taylor-Melanson, Will +3 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cell Image Analysis Techniques #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)