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    Chapter and Conference Paper

    Overcoming the Lack of Data to Improve Prediction and Treatment of Individuals with Autistic Spectrum Disorder and Attention Deficit Hyperactivity Disorder

    The problem of lack of data remains a major drawback regardless of the continuous evolution of machine learning and deep learning models. This paper presents a modular and scalable architecture for the predict...

    María del Mar Guillén, Sandra Amador in Proceedings of the International Conferenc… (2023)

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    Chapter and Conference Paper

    New Trends in Machine Learning Techniques for Human Activity Recognition Using Multimodal Sensors

    The ageing of today’s society, according to demographic and epidemiological data, presents a significant increase in the elderly population. Following the experienced pandemic, research in telemedicine to impr...

    Jesús González-Lama, Alicia Montoro in Proceedings of the 15th International Conf… (2023)

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    Chapter and Conference Paper

    Challenges and Opportunities for the Recognition of Human Activity in Supervised Flats

    The scientific and technological evolution that has taken place in the field of human activity recognition, while enormous, is possibly only the tip of the iceberg of the possibilities that we are currently fa...

    Ángel Lloret, Juan Carlos Valera, David Gil in Proceedings of the International Conferenc… (2023)

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    Chapter and Conference Paper

    A Model to Support the Prediction of Indicators in the Diagnosis and Intervention of Autism Spectrum Disorder

    Autism Spectrum Disorder (ASD) is a developmental disability primarily characterized by challenges in social interaction and communication. Due to the unknown etiology of ASD, numerous computational psychiatr...

    Vanessa Ramos, Tania Mondéjar in Proceedings of the 15th International Conf… (2023)