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A Robust and Versatile Multi-View Learning Framework for the Detection of Deviant Business Process Instances., , , and . Int. J. Cooperative Inf. Syst., 25 (4): 1740003:1-1740003:56 (2016)Supporting Emotion Automatic Detection and Analysis over Real-Life Text Corpora via Deep Learning: Model, Methodology and Framework., , , , and . J. Vis. Lang. Comput., 2021 (2): 33-38 (2021)A deep-learning approach to game bot identification via behavioural features analysis in complex massively-cooperative environments., , and . Int. J. Data Min. Model. Manag., 15 (1): 1-29 (2023)Effective and efficient distributed management of big clinical data: a framework., , and . Int. J. Data Min. Model. Manag., 11 (3): 284-313 (2019)Semantics-Aware Approaches to Big Data Engineering., and . J. Data Semant., 6 (2): 55-56 (2017)Mining Popular Patterns: A Novel Mining Problem and Its Application to Static Transactional Databases and Dynamic Data Streams., , , , , and . Trans. Large Scale Data Knowl. Centered Syst., (2015)The Inverse Tree-OLAP Problem: Definitions, Models, Complexity Analysis, and a Possible Solution., , and . IDEAS, page 148-156. ACM, (2018)An Innovative Deep-Learning Algorithm for Supporting the Approximate Classification of Workloads in Big Data Environments., , , and . IDEAL (2), volume 11872 of Lecture Notes in Computer Science, page 225-237. Springer, (2019)Predictive monitoring of temporally-aggregated performance indicators of business processes against low-level streaming events., , , and . Inf. Syst., (2019)Handwritten Word Recognition using Deep Learning Approach: A Novel Way of Generating Handwritten Words., , , , and . CoRR, (2023)