Search Results - Stan Matwin

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  1. 141
    Traffic classification with on-line ensemble method

    Traffic classification with on-line ensemble method by de Souza, Erico N., Matwin, Stan, Fernandes, Stenio

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  2. 142
    Network traffic classification using AdaBoost Dynamic

    Network traffic classification using AdaBoost Dynamic by de Souza, Erico N., Matwin, Stan, Fernandes, Stenio

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  3. 143
    SemEval-2020 Task 5: Counterfactual Recognition

    SemEval-2020 Task 5: Counterfactual Recognition by Yang, Xiaoyu, Obadinma, Stephen, Zhao, Huasha, Zhang, Qiong, Matwin, Stan, Zhu, Xiaodan

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  4. 144
    Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning

    Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning by Lucas May Petry, Soares, Amilcar, Bogorny, Vania, Brandoli, Bruno, Matwin, Stan

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  5. 145
    Advantages of a non-technical XACML notation in role-based models

    Advantages of a non-technical XACML notation in role-based models by Stepien, B., Matwin, S., Felty, A.

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  6. 146
    Wise Sliding Window Segmentation: A classification-aided approach for trajectory segmentation

    Wise Sliding Window Segmentation: A classification-aided approach for trajectory segmentation by Etemad, Mohammad, Etemad, Zahra, Soares, Amilcar, Bogorny, Vania, Matwin, Stan, Torgo, Luis

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  7. 147
    Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments

    Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments by Etemad, Mohammad, Zare, Nader, Sarvmaili, Mahtab, Soares, Amilcar, Bruno Brandoli Machado, Matwin, Stan

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  8. 148
    One Single Deep Bidirectional LSTM Network for Word Sense Disambiguation of Text Data

    One Single Deep Bidirectional LSTM Network for Word Sense Disambiguation of Text Data by Pesaranghader, Ahmad, Pesaranghader, Ali, Matwin, Stan, Sokolova, Marina

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  9. 149
    Resampling and Cost-Sensitive Methods for Imbalanced Multi-instance Learning

    Resampling and Cost-Sensitive Methods for Imbalanced Multi-instance Learning by Xiaoguang Wang, Xuan Liu, Japkowicz, Nathalie, Matwin, Stan

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  10. 150
    Efficient Neural Task Adaptation by Maximum Entropy Initialization

    Efficient Neural Task Adaptation by Maximum Entropy Initialization by Varno, Farshid, Behrouz Haji Soleimani, Saghayi, Marzie, Lisa Di Jorio, Matwin, Stan

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  11. 151
    Meta-learning for large scale machine learning with MapReduce

    Meta-learning for large scale machine learning with MapReduce by Xuan Liu, Xiaoguang Wang, Matwin, Stan, Japkowicz, Nathalie

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  12. 152
    An Algorithm for Compression of XACML Access Control Policy Sets by Recursive Subsumption

    An Algorithm for Compression of XACML Access Control Policy Sets by Recursive Subsumption by Stepien, B., Matwin, S., Felty, A.

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  13. 153
    Studying Positive Speech on Twitter

    Studying Positive Speech on Twitter by Sokolova, Marina, Sazonova, Vera, Huang, Kanyi, Chakraboty, Rudraneel, Matwin, Stan

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  14. 154
    Reflexive Regular Equivalence for Bipartite Data

    Reflexive Regular Equivalence for Bipartite Data by Gerow, Aaron, Zhou, Mingyang, Matwin, Stan, Shi, Feng

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  15. 155
    Strategies for Reducing Risks of Inconsistencies in Access Control Policies

    Strategies for Reducing Risks of Inconsistencies in Access Control Policies by Stepien, B., Matwin, S., Felty, A.

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  16. 156
    Using the Smooth Receiver Operating Curve (ROC) Method for Evaluation and Decision Making in Biometric Systems

    Using the Smooth Receiver Operating Curve (ROC) Method for Evaluation and Decision Making in Biometric Systems by Gorodnichy,Dmitry, Granger,Eric, Matwin,Stan

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  17. 157
    On the Importance of Attention in Meta-Learning for Few-Shot Text Classification

    On the Importance of Attention in Meta-Learning for Few-Shot Text Classification by Jiang, Xiang, Havaei, Mohammad, Chartrand, Gabriel, Chouaib, Hassan, Thomas, Vincent, Jesson, Andrew, Chapados, Nicolas, Matwin, Stan

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  18. 158
    TrajectoryNet: An Embedded GPS Trajectory Representation for Point-based Classification Using Recurrent Neural Networks

    TrajectoryNet: An Embedded GPS Trajectory Representation for Point-based Classification Using Recurrent Neural Networks by Jiang, Xiang, de Souza, Erico N, Pesaranghader, Ahmad, Hu, Baifan, Silver, Daniel L, Matwin, Stan

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  19. 159
    A Crypto-Based Approach to Privacy-Preserving Collaborative Data Mining

    A Crypto-Based Approach to Privacy-Preserving Collaborative Data Mining by Zhan, J., Matwin, S.

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  20. 160
    A case-based approach to software reuse

    A case-based approach to software reuse by Fouqu, Gilles, Matwin, Stan

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