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A Risk Prediction Framework to Optimize Remote Patient Monitoring Following Cardiothoracic Surgery., , , , , , , , , and . ECML/PKDD (7), volume 14175 of Lecture Notes in Computer Science, page 366-371. Springer, (2023)Industry 5.0: The Arising of a Concept., , , and . ISM, volume 217 of Procedia Computer Science, page 1137-1144. Elsevier, (2023)Quality Fit for Purpose: Building Business Critical Errors Test Suites., , , , , , , and . EAMT, page 451-460. European Association for Machine Translation, (2023)Parallel Metaheuristics for Shop Scheduling: enabling Industry 4.0., and . ISM, volume 180 of Procedia Computer Science, page 778-786. Elsevier, (2020)Facial Expressions Tracking and Recognition: Database Protocols for Systems Validation and Evaluation., , , , , , and . CoRR, (2015)Predicting post-discharge complications in cardiothoracic surgery: A clinical decision support system to optimize remote patient monitoring resources., , , , , , , , , and 1 other author(s). Int. J. Medical Informatics, (February 2024)Addressing the Curse of Missing Data in Clinical Contexts: A Novel Approach to Correlation-based Imputation., , , , , , and . J. King Saud Univ. Comput. Inf. Sci., 35 (6): 101562 (June 2023)The Potential of Low-Power, Cost-Effective Single Board Computers for Manufacturing Scheduling., , , and . ISM, volume 217 of Procedia Computer Science, page 904-911. Elsevier, (2023)Thirty Years of Flexible Job-Shop Scheduling: A Bibliometric Study., , , and . ISM, volume 180 of Procedia Computer Science, page 787-796. Elsevier, (2020)Unravelling Heterogeneity: A Hybrid Machine Learning Approach to Predict Post-discharge Complications in Cardiothoracic Surgery., , , , , , , , and . EPIA (2), volume 14116 of Lecture Notes in Computer Science, page 298-310. Springer, (2023)