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Predicting probable Alzheimer's disease using linguistic deficits and biomarkers.

, , , , and . BMC Bioinform., 18 (1): 34:1-34:13 (2017)

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Personal response systems through the prism of students' experiences., , , and . Comput. Appl. Eng. Educ., 28 (5): 1232-1246 (2020)Learning Linguistic Biomarkers for Predicting Mild Cognitive Impairment using Compound Skip-grams., , , and . CoRR, (2015)Exploiting Parse Structures for Native Language Identification., and . EMNLP, page 1600-1610. ACL, (2011)Estimating Relative User Expertise for Content Quality Prediction on Reddit., , and . HT, page 55-64. ACM, (2017)Contrastive Analysis and Native Language Identification., and . ALTA, page 53-61. ACL, (2009)Learning Predictive Linguistic Features for Alzheimer's Disease and related Dementias using Verbal Utterances., , and . CLPsych@ACL, page 78-87. Association for Computational Linguistics, (2014)Estimating Domain-Specific User Expertise for Answer Retrieval in Community Question-Answering Platforms., , and . ADCS, page 33-40. ACM, (2016)A self structuring artificial intelligence framework for deep emotions modeling and analysis on the social web., , , , , and . Future Gener. Comput. Syst., (2021)Deep-Deep Neural Network Language Models for Predicting Mild Cognitive Impairment., , and . BAI@IJCAI, volume 1718 of CEUR Workshop Proceedings, page 14-20. CEUR-WS.org, (2016)The review of educational robotics research and the need for real-world interaction analysis., , and . ICARCV, page 1-6. IEEE, (2016)