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Forecasting foreign exchange rates with adaptive neural networks using radial-basis functions and Particle Swarm Optimization.

, , , , and . Eur. J. Oper. Res., 225 (3): 528-540 (2013)

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Applying Computational Intelligence Approaches to the Staff Scheduling Problem., , , , and . IJCCI (ECTA-FCTA), page 168-173. SciTePress, (2011)The Human Interactome Knowledge Base (HINT-KB): an integrative human protein interaction database enriched with predicted protein-protein interaction scores using a novel hybrid technique., , , , , , , and . Artif. Intell. Rev., 42 (3): 427-443 (2014)YamiPred: A Novel Evolutionary Method for Predicting Pre-miRNAs and Selecting Relevant Features., , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 12 (5): 1183-1192 (2015)A precision medicine approach for non-opioid pain therapy using a combination of multi-objective optimization and support vector regression., , , , , and . IISA, page 1-7. IEEE, (2019)Efficient Computational Prediction and Scoring of Human Protein-Protein Interactions Using a Novel Gene Expression Programming Methodology., , , , , , and . EANN, volume 311 of Communications in Computer and Information Science, page 472-481. Springer, (2012)Superclusteroid 2.0: A Web Tool for Processing Big Biological Networks., , , , , , , , , and . AIAI, volume 475 of IFIP Advances in Information and Communication Technology, page 623-633. Springer, (2016)Modeling, forecasting and trading the EUR exchange rates with hybrid rolling genetic algorithms - Support vector regression forecast combinations., , , and . Eur. J. Oper. Res., 247 (3): 831-846 (2015)Predicting overlapping protein complexes from weighted protein interaction graphs by gradually expanding dense neighborhoods., , , , and . Artif. Intell. Medicine, (2016)Forecasting Euro - United States Dollar Exchange Rate with Gene Expression Programming., , , and . AIAI, volume 339 of IFIP Advances in Information and Communication Technology, page 78-85. Springer, (2010)AppendicitisScan Tool: A New Tool for the Efficient Classification of Childhood Abdominal Pain Clinical Cases Using Machine Learning Tools., , , and . EANN (2), volume 384 of Communications in Computer and Information Science, page 110-118. Springer, (2013)