ICT Innovations 2023. Learning: Humans, Theory, Machines, and Data : 15th International Conference, ICT Innovations 2023, Ohrid, North Macedonia, September 24–26, 2023, Proceedings
Marija Mihova
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Implementation and Application of Automata : 27th International Conference, CIAA 2023, Famagusta, North Cyprus, September 19-22, 2023, Proceedings
Benedek Nagy
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Applications of Fuzzy Techniques : Proceedings of the 2022 Annual Conference of the North American Fuzzy Information Processing Society NAFIPS 2022
Scott Dick
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Fuzzy Information Processing 2020 : Proceedings of the 2020 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2020
Barnabas Bede
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ICT Innovations 2020. Machine Learning and Applications : 12th International Conference, ICT Innovations 2020, Skopje, North Macedonia, September 24-26, 2020, Proceedings
Vesna Dimitrova
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Fuzzy Information Processing : 37th Conference of the North American Fuzzy Information Processing Society, NAFIPS 2018, Fortaleza, Brazil, July 4-6, 2018, Proceedings
Guilherme A. Barreto
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ICT Innovations 2019. Big Data Processing and Mining : 11th International Conference, ICT Innovations 2019, Ohrid, North Macedonia, October 17-19, 2019, Proceedings
Sonja Gievska
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Explainable AI and Other Applications of Fuzzy Techniques : Proceedings of the 2021 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2021
Julia Rayz
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Bioinformatics : A Practical Guide to Next Generation Sequencing Data Analysis
Hamid D. (NC A&T State University, North Carolina, USA) Ismail
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File Organization and Processing
Alan L. (North Carolina State University) Tharp
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Disk-Based Algorithms for Big Data
Christopher (Department of Computer Science, North Carolina St Healey
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Perspectives on Data Science for Software Engineering
Tim (Professor, Computer Science, North Carolina State Univer Menzies
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Big Data Analytics : A Practical Guide for Managers
Kim H. (Co-Founder, Value Transformation, LLC, Texas, USA; Ston Pries
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Real Estate Analysis in the Information Age : Techniques for Big Data and Statistical Modeling
Kimberly (University of Melbourne, Australia) Winson-Geideman
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