An Ecosystem of Intelligent ICT Tools for Speech-Language Therapy Based on a Formal Knowledge Model. - Vladimir Robles-Bykbaev; Martín López Nores; José Juan Pazos-Arias; Diego Quisi-Peralta; Jorge García Duque (MedInfo, 2015)

SPELTA-Miner: An expert system based on data mining and multilabel classification to design therapy plans for communication disorders. - Vladimir Robles-Bykbaev; Diego Quisi-Peralta; Martín López Nores; Alberto Gil-Solla; Jorge García Duque (CoDIT, 2016)

Preventing Trauma Accidents in Children: An Ecosystem Based on Interactive Ludic Activities for Mobile and Web-Based Environments. - Daniel Pulla-Sánchez; Diego Quisi-Peralta; Verónica Cevallos León-Wong; Gabriela Moreno-Luzuriaga; Vladimir Robles-Bykbaev; Cristian Timbi-Sisalima (AHFE (23), 2017)

Data repository of mobile applications for people with disabilities in the area of communication and language using data mining techniques. - Diego Quisi-Peralta; Vladimir Robles-Bykbaev; Victor Hugo Saquicela-Galarza; Estefanía Bernal-Merchán; Paola Suquilanda-Cuesta; Martín López Nores (CONIELECOMP, 2018)

A Hybrid System to Support the Psychological Intervention for Children With Autism: A Proposal Based on Knowledge Modeling and Intelligent Technologies. - Vladimir Robles-Bykbaev; Jorge Andrés Galán-Mena; Martín López Nores; Yaroslava Robles-Bykbaev; Javier Cornejo-Reyes; Diego Quisi-Peralta; José Juan Pazos-Arias; Diego Lima-Juma; Verónica Cevallos León-Wong (Int. J. E Serv. Mob. Appl., 2018)

Automatic Generation of Abstracts in Scientific Articles Based on Natural Language Processing for Early Education Professionals and Speech Therapists. - Diego Quisi-Peralta; Vladimir Robles-Bykbaev; Jorge Andrés Galán-Mena; Roberto Agustín García-Vélez (AHFE (13), 2020)

Automatic Generation of a Thesaurus for Language and Communication Disorders Based on Natural Language Processing and Ontologies. - Diego Quisi-Peralta; Vladimir Robles-Bykbaev; Roberto García Vélez; Luis Serpa-Andrade; Eduardo Pinos-Véles (AHFE (13), 2020)

Automatically Assembling a Custom-Built Training Corpus for Improving the Learning of In-Domain Word/Document Embeddings. - Yolanda Blanco-Fernández; Alberto Gil-Solla; José Juan Pazos-Arias; Diego Quisi-Peralta (Informatica, 2023)