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Reinforcement Learning-Based Framework for the Intelligent Adaptation of User Interfaces.

, , , , and . EICS (Companion), page 40-48. ACM, (2024)

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Sensitivity of results to different data quality meta-data criteria in the sample selection of projects from the ISBSG dataset., , and . PROMISE, page 13. ACM, (2010)ISBSG variables most frequently used for software effort estimation: a mapping review., and . ESEM, page 42:1-42:4. ACM, (2014)Specifying Value in GRL for Guiding BPMN Activities Prioritization., , , , , and . ISD, Association for Information Systems, (2017)Discretization methods for NBC in effort estimation: an empirical comparison based on ISBSG projects., and . ESEM, page 103-106. ACM, (2012)'Driving' IS projects., and . Advances in Information Systems Research, Education and Practice, volume 274 of IFIP Advances in Information and Communication Technology, page 113-124. Springer, (2008)Reinforcement Learning-Based Framework for the Intelligent Adaptation of User Interfaces., , , , and . EICS (Companion), page 40-48. ACM, (2024)Application of mutual information-based sequential feature selection to ISBSG mixed data., and . Softw. Qual. J., 26 (4): 1299-1325 (2018)A Value-Based Approach for Reasoning with Goal Models., , , , and . ISD, ISEN Yncréa Méditerranée / Association for Information Systems, (2019)A Taxonomy of Quality Metrics for Cloud Services., , , , and . IEEE Access, (2020)Software Effort Estimation Using NBC and SWR: A Comparison Based on ISBSG Projects., , and . IWSM/Mensura, page 132-136. IEEE Computer Society, (2012)