Affective and Behavioral Assessment for Adaptive Intelligent Tutoring Systems. - Luis Marco-Giménez; Miguel Arevalillo-Herráez; Francesc J. Ferri; Salvador Moreno-Picot; Jesus Boticario; Olga C. Santos; Sergio Salmeron-Majadas; Mar Saneiro; Raul Uria-Rivas; David Arnau; José Antonio González-Calero; Aladdin Ayesh; et al. (UMAP (Extended Proceedings), 2016)

Class discovery from semi-structured EEG data for affective computing and personalisation. - Aladdin Ayesh; Miguel Arevalillo-Herráez; Pablo Arnau-González (IEEE ICCI*CC, 2017)

ES1D: A Deep Network for EEG-Based Subject Identification. - Pablo Arnau-González; Stamos Katsigiannis; Naeem Ramzan; Debbie Tolson; Miguel Arevalillo-Herráez (BIBE, 2017)

Perceptual video quality evaluation by means of physiological signals. - Pablo Arnau-González; Turke Althobaiti; Stamos Katsigiannis; Naeem Ramzan (QoMEX, 2017)

Combining Supervised and Unsupervised Learning to Discover Emotional Classes. - Miguel Arevalillo-Herráez; Aladdin Ayesh; Olga C. Santos; Pablo Arnau-González (UMAP, 2017)

Fusing highly dimensional energy and connectivity features to identify affective states from EEG signals. - Pablo Arnau-González; Miguel Arevalillo-Herráez; Naeem Ramzan (Neurocomputing, 2017)

SOM-Based Class Discovery for Emotion Detection Based on DEAP Dataset. - Aladdin Ayesh; Miguel Arevalillo-Herráez; Pablo Arnau-González (Int. J. Softw. Sci. Comput. Intell., 2018)

Image-Evoked Affect and its Impact on Eeg-Based Biometrics. - Pablo Arnau-González; Stamos Katsigiannis; Miguel Arevalillo-Herráez; Naeem Ramzan (ICIP, 2019)

Single-channel EEG-based subject identification using visual stimuli. - Stamos Katsigiannis; Pablo Arnau-González; Miguel Arevalillo-Herráez; Naeem Ramzan (BHI, 2021)

BED: A New Data Set for EEG-Based Biometrics. - Pablo Arnau-González; Stamos Katsigiannis; Miguel Arevalillo-Herráez; Naeem Ramzan (IEEE Internet Things J., 2021)

On the Influence of Affect in EEG-Based Subject Identification. - Pablo Arnau-González; Miguel Arevalillo-Herráez; Stamos Katsigiannis; Naeem Ramzan (IEEE Trans. Affect. Comput., 2021)

On Providing Natural Language Support for Intelligent Tutoring Systems. - Romina Soledad Albornoz-De Luise; Pablo Arnau-González; Miguel Arevalillo-Herráez (AIED (2), 2022)

Conversational Agent Design for Algebra Tutoring. - Romina Soledad Albornoz-De Luise; Pablo Arnau-González; Miguel Arevalillo-Herráez (SMC, 2022)

On using the DIET architecture for sentiment analysis and emotion detection. - Miguel Arevalillo-Herráez; Pablo Arnau-González; Inés Bravo-Cabrera; Naeem Ramzan (WI/IAT, 2022)

On Adapting the DIET Architecture and the Rasa Conversational Toolkit for the Sentiment Analysis Task. - Miguel Arevalillo-Herráez; Pablo Arnau-González; Naeem Ramzan (IEEE Access, 2022)

Towards Automatic Tutoring of Custom Student-Stated Math Word Problems. - Pablo Arnau-González; Ana Serrano Mamolar; Stamos Katsigiannis; Miguel Arevalillo-Herráez (AIED (Posters/Late Breaking Results/...), 2023)

Toward Automatic Tutoring of Math Word Problems in Intelligent Tutoring Systems. - Pablo Arnau-González; Ana Serrano Mamolar; Stamos Katsigiannis; Turke Althobaiti; Miguel Arevalillo-Herráez (IEEE Access, 2023)

Improved Action Unit Detection Based on a Hybrid Model. - Yuyan Wu; Miguel Arevalillo-Herráez; Pablo Arnau-González (IEEE Access, 2023)

A methodological approach to enable natural language interaction in an Intelligent Tutoring System. - Pablo Arnau-González; Miguel Arevalillo-Herráez; Romina Soledad Albornoz-De Luise; David Arnau (Comput. Speech Lang., 2023)

Fusing ECG signals and IRT models for task difficulty prediction in computerised educational systems. - Miguel Arevalillo-Herráez; Stamos Katsigiannis; Fehaid Alqahtani; Pablo Arnau-González (Knowl. Based Syst., 2023)

Be My Mate: Simulating Virtual Students for collaboration using Large Language Models. - Sergi Solera-Monforte; Pablo Arnau-González; Miguel Arevalillo-Herráez (INLG (System Demonstrations), 2024)

Predicting User Actions in Algebra Intelligent Tutoring Systems with Markov Models. - Pablo Arnau-González; Yuyan Wu; Sergi Solera-Monforte; David Arnau; Miguel Arevalillo-Herráez (AIED (5), 2025)

Developing Human-Centered Intelligent Learning Systems: the application of CARAIX framework. - Miguel Portaz; Angeles Manjarrés Riesco; Olga C. Santos; Raúl Cabestrero; Pilar Quirós; Mar Hermosilla; David Puertas-Ramirez; Jesus Boticario; Gadea Lucas-Pérez; Ana Serrano Mamolar; Álvar Arnaiz-González; Miguel Arevalillo-Herráez; et al. (UMAP (Adjunct Publication), 2025)

A framework for adapting conversational intelligent tutoring systems to enable collaborative learning. - Pablo Arnau-González; Sergi Solera-Monforte; Yuyan Wu; Miguel Arevalillo-Herráez (Expert Syst. Appl., 2025)

SKDU at De-Factify 4.0: Natural Language Features for AI-Generated Text-Detection. - Shrikant Malviya; Pablo Arnau-González; Miguel Arevalillo-Herráez; Stamos Katsigiannis (CoRR, 2025)