SONIA MARIA
VALLADARES RODRIGUEZ
Profesora axudante doutora
Publicacións (30) Publicacións de SONIA MARIA VALLADARES RODRIGUEZ
2024
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Analysis of Voice Biomarkers for the Detection of Cognitive Impairment
IEEE Access, Vol. 12, pp. 122840-122851
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Will senior adults accept being cognitively assessed by a conversational agent? a user-interaction pilot study
Applied Intelligence, Vol. 54, Núm. 17-18, pp. 7897-7912
2023
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A Long Skip Connection for Enhanced Color Selectivity in CNN Architectures
Sensors, Vol. 23, Núm. 17
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Anti-Sexism Alert System: Identification of Sexist Comments on Social Media Using AI Techniques
Applied Sciences (Switzerland), Vol. 13, Núm. 7
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Implementing scripted conversations by means of smart assistants
Software - Practice and Experience, Vol. 53, Núm. 5, pp. 1271-1283
2022
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Automatic Diagnosis of Mild Cognitive Impairment Using Siamese NeuralNetwork
Artificial intelligence in neuroscience: Affective analysis and health applications: 9th international work-conference on the interplay between natural and artificial computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31-June 3, 2022, proceedings, Part I (Springer Suiza), pp. 416-425
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Automatic Diagnosis of Mild Cognitive Impairment Using Siamese Neural Networks
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Evaluation of the Predictive Ability and User Acceptance of Panoramix 2.0, an AI-Based E-Health Tool for the Detection of Cognitive Impairment
Electronics (Switzerland), Vol. 11, Núm. 21
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Explainable Artificial Intelligence to Detect Breast Cancer: A Qualitative Case-Based Visual Interpretability Approach
Artificial intelligence in neuroscience: Affective analysis and health applications: 9th international work-conference on the interplay between natural and artificial computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31-June 3, 2022, proceedings, Part I (Springer Suiza), pp. 557-566
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Explainable Artificial Intelligence to Detect Breast Cancer: A Qualitative Case-Based Visual Interpretability Approach
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Integration of Diagnosis Application Data using FHIR
ACM International Conference Proceeding Series
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New Trends in Cognitive Aging and Mild Cognitive Impairment
Geriatrics (Switzerland)
2021
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Relevance of complaint severity in predicting the progression of subjective cognitive decline and mild cognitive impairment: A machine learning approach
Journal of Alzheimer's Disease, Vol. 82, Núm. 3, pp. 1229-1242
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Smart conversational agents for the detection of neuropsychiatric disorders: A systematic review
Journal of Biomedical Informatics, Vol. 113
2020
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Neuropsychiatric symptoms as predictors of conversion from MCI to dementia: A machine learning approach
International Psychogeriatrics, Vol. 32, Núm. 3, pp. 381-392
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Predicting progression in subjective cognitive decline (SCD) using a machine learning (ML) approach: The role of the complaint’s severity
Alzheimer's & Dementia, Vol. 16, Núm. S6
2019
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A Machine Learning Approach to the Early Diagnosis of Alzheimer’s Disease Based on an Ensemble of Classifiers
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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A machine learning approach to the early diagnosis of Alzheimer's disease based on an ensemble of classifiers
Computational Science and Its Applications -- ICCSA 2019, 19th International Conference, Saint Petersburg, Russia, July 1-4, 2019 : Proceedings. Part I (Springer International Publishing AG), pp. 383-396
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Machine learning approaches to studying the role of cognitive reserve in conversion from mild cognitive impairment to dementia
International Journal of Geriatric Psychiatry, Vol. 34, Núm. 7, pp. 941-949
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Touchscreen games to detect cognitive impairment in senior adults. A user-interaction pilot study
International Journal of Medical Informatics, Vol. 127, pp. 52-62