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Evaluating the effectiveness of Bayesian and Neural Networks for Adaptive Schedulling Systems.

, , , and . SSCI, page 1-6. IEEE, (2016)

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Model to evaluate the maturity of the organizational structure: a new approach., and . IEEE Conf. on Intelligent Systems, page 835-841. IEEE, (2018)Cascading Recognizers for Ambiguous Calligraphic Interaction ., , , , , and . SBM, page 63-72. Eurographics Association, (2004)Manufacturing rush orders rescheduling: a supervised learning approach., , , , , and . NaBIC, page 299-304. IEEE, (2014)Using personas for supporting user modeling on scheduling systems., , , , , , and . HIS, page 279-284. IEEE, (2014)Prototype of an Adaptive Decision Support System for Interactive Scheduling with MetaCognition and User Modeling Experience., , , , , and . NaBIC, page 145-150. IEEE, (2014)ICT and Big Data Adoption in SMEs from Rural Areas: Comparison Between Portugal, Spain and Russia., and . WorldCIST (1), volume 1159 of Advances in Intelligent Systems and Computing, page 291-301. Springer, (2020)Handling Ambiguity and Errors: Visual Languages for Calligraphic Interaction., , and . SIBGRAPI, page 312-319. IEEE Computer Society, (2001)A New Model for Evaluation of Human Resources: Case Study of Catering Industry., , and . WorldCIST (1), volume 930 of Advances in Intelligent Systems and Computing, page 612-621. Springer, (2019)Evaluation of the Maturity Level of the IT Services in Higher Education Institutions: Portugal and Russia., , and . WorldCIST (1), volume 745 of Advances in Intelligent Systems and Computing, page 422-432. Springer, (2018)The Analysis of Competency Model for a Performance Appraisal System in the Management of Food Service Industry., , and . ICITS, volume 1137 of Advances in Intelligent Systems and Computing, page 162-171. Springer, (2020)