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Using Learning Styles of Software Professionals to Improve their Inspection Team Performance.

, , and . SEKE, page 680-685. KSI Research Inc. and Knowledge Systems Institute Graduate School, (2015)

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A Heuristic-Driven and Cost Effective Majority/ Minority Logic Synthesis for Post-CMOS Emerging Technology., , , , , , and . IEEE Access, (2021)FakeBERT: Fake news detection in social media with a BERT-based deep learning approach., , and . Multim. Tools Appl., 80 (8): 11765-11788 (2021)A comprehensive survey on model compression and acceleration., , , and . Artif. Intell. Rev., 53 (7): 5113-5155 (2020)MCNNet: Generalizing Fake News Detection with a Multichannel Convolutional Neural Network using a Novel COVID-19 Dataset., , and . COMAD/CODS, page 437. ACM, (2021)Improving the Cost Effectiveness of Software Inspection Teams: An Empirical Investigation., and . SEKE, page 735-739. Knowledge Systems Institute Graduate School, (2014)Using Learning Styles to Staff and Improve Software Inspection Team Performance., , and . ISSRE Workshops, page 9-12. IEEE Computer Society, (2016)Using Learning Styles of Software Professionals to Improve their Inspection Team Performance., , and . SEKE, page 680-685. KSI Research Inc. and Knowledge Systems Institute Graduate School, (2015)AENeT: an attention-enabled neural architecture for fake news detection using contextual features., , , , and . Neural Comput. Appl., 34 (1): 771-782 (2022)DeepFakE: improving fake news detection using tensor decomposition-based deep neural network., , and . J. Supercomput., 77 (2): 1015-1037 (2021)FakeIDCA: Fake news detection with incremental deep learning based concept drift adaption., , and . Multim. Tools Appl., 83 (10): 28579-28594 (March 2024)