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Sabrina Senatore

Sabrina SenatoreDr. Sabrina Senatore (Member, IEEE) is currently a Full Professor of Computer Science at University of Salerno, Italy. Her current research interests include the development and application of intelligent systems based on the combination of technique from Computational Intelligence, Artificial Intelligence, Text Mining, Information Retrieval, Semantic Web, and Intelligent Agents, areas in which she has published extensively. She is an Associate Editor of several international journals, she is a co-editor of Expert Systems with Applications, Elsevier. She is the co-chair of the IEEE CIS Task Force on Intelligent Agents. She has participated in the organization of several international events, in the roles of Technical Program Chair and Session/symposium Chair. She has published more than 120 papers in international journals and books and on the proceedings of international conferences. Read More Read Less

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Data-Driven Insights and Analytics for Measurable Sustainable Development Goals45 %
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Proceedings of the 5th International Conference on Data Science, Machine Learning and Applications; Volume 237 %
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ICDSMLA 202137 %
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ICDSMLA 202137 %
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Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications37 %
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ICDSMLA 202037 %
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Advances in Cybernetics, Cognition, and Machine Learning for Communication Technologies37 %
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Advances in Cybernetics, Cognition, and Machine Learning for Communication Technologies37 %
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Cybernetics, Human Cognition, and Machine Learning in Communicative Applications9 % NR
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ICDSMLA 2021NR
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ICDSMLA 2020NR
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Cybernetics, Human Cognition, and Machine Learning in Communicative Applications
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Proceedings of the 6th International Conference on Data Science, Machine Learning and Applications- Volume 1
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Proceedings of the 6th International Conference on Data Science, Machine Learning and Applications, Volume 2
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Proceedings of the 5th International Conference on Data Science, Machine Learning and Applications; Volume 137 %
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Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications37 %
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Proceedings of the 5th International Conference on Data Science, Machine Learning and Applications; Volume 137 %
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Proceedings of the 5th International Conference on Data Science, Machine Learning and Applications; Volume 237 %
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