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ORCIDPablo Arnau-González
- > Home > Persons > Pablo Arnau-González
Publications
- 2025
[j10]Pablo Arnau-González
, Sergi Solera-Monforte, Yuyan Wu, Miguel Arevalillo-Herráez:
A framework for adapting conversational intelligent tutoring systems to enable collaborative learning. Expert Syst. Appl. 271: 126663 (2025)- [c13]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, David Arnau, Pablo Arnau-González, Raúl Fernandez-Matellan, David Martín Gómez:
Developing Human-Centered Intelligent Learning Systems: the application of CARAIX framework. UMAP (Adjunct Publication) 2025: 177-186 - [i1]Shrikant Malviya, Pablo Arnau-González, Miguel Arevalillo-Herráez, Stamos Katsigiannis:
SKDU at De-Factify 4.0: Natural Language Features for AI-Generated Text-Detection. CoRR abs/2503.22338 (2025) - 2024
- [c12]Sergi Solera-Monforte, Pablo Arnau-González, Miguel Arevalillo-Herráez:
Be My Mate: Simulating Virtual Students for collaboration using Large Language Models. INLG (System Demonstrations) 2024: 1-3 - 2023
- [j9]Pablo Arnau-González, Ana Serrano Mamolar, Stamos Katsigiannis, Turke Althobaiti, Miguel Arevalillo-Herráez:
Toward Automatic Tutoring of Math Word Problems in Intelligent Tutoring Systems. IEEE Access 11: 67030-67039 (2023) - [j8]Yuyan Wu, Miguel Arevalillo-Herráez, Pablo Arnau-González:
Improved Action Unit Detection Based on a Hybrid Model. IEEE Access 11: 77585-77595 (2023) - [j7]Pablo Arnau-González, Miguel Arevalillo-Herráez, Romina Soledad Albornoz-De Luise, David Arnau:
A methodological approach to enable natural language interaction in an Intelligent Tutoring System. Comput. Speech Lang. 81: 101516 (2023) - [j6]Miguel Arevalillo-Herráez, Stamos Katsigiannis, Fehaid Alqahtani, Pablo Arnau-González:
Fusing ECG signals and IRT models for task difficulty prediction in computerised educational systems. Knowl. Based Syst. 280: 111052 (2023) - [c11]Pablo Arnau-González, Ana Serrano Mamolar, Stamos Katsigiannis, Miguel Arevalillo-Herráez:
Towards Automatic Tutoring of Custom Student-Stated Math Word Problems. AIED (Posters/Late Breaking Results/...) 2023: 639-644 - 2022
- [j5]Miguel Arevalillo-Herráez, Pablo Arnau-González, Naeem Ramzan:
On Adapting the DIET Architecture and the Rasa Conversational Toolkit for the Sentiment Analysis Task. IEEE Access 10: 107477-107487 (2022) - [c10]Romina Soledad Albornoz-De Luise, Pablo Arnau-González, Miguel Arevalillo-Herráez:
On Providing Natural Language Support for Intelligent Tutoring Systems. AIED (2) 2022: 564-568 - [c9]Romina Soledad Albornoz-De Luise, Pablo Arnau-González, Miguel Arevalillo-Herráez:
Conversational Agent Design for Algebra Tutoring. SMC 2022: 604-609 - [c8]Miguel Arevalillo-Herráez, Pablo Arnau-González, Inés Bravo-Cabrera, Naeem Ramzan:
On using the DIET architecture for sentiment analysis and emotion detection. WI/IAT 2022: 647-651 - 2021
- [j4]Pablo Arnau-González, Stamos Katsigiannis, Miguel Arevalillo-Herráez, Naeem Ramzan:
BED: A New Data Set for EEG-Based Biometrics. IEEE Internet Things J. 8(15): 12219-12230 (2021) - [j3]Pablo Arnau-González, Miguel Arevalillo-Herráez, Stamos Katsigiannis, Naeem Ramzan:
On the Influence of Affect in EEG-Based Subject Identification. IEEE Trans. Affect. Comput. 12(2): 391-401 (2021) - [c7]Stamos Katsigiannis, Pablo Arnau-González, Miguel Arevalillo-Herráez, Naeem Ramzan:
Single-channel EEG-based subject identification using visual stimuli. BHI 2021: 1-4 - 2019
- [c6]Pablo Arnau-González, Stamos Katsigiannis, Miguel Arevalillo-Herráez, Naeem Ramzan:
Image-Evoked Affect and its Impact on Eeg-Based Biometrics. ICIP 2019: 2591-2595 - 2018
- [j2]Aladdin Ayesh, Miguel Arevalillo-Herráez, Pablo Arnau-González:
SOM-Based Class Discovery for Emotion Detection Based on DEAP Dataset. Int. J. Softw. Sci. Comput. Intell. 10(1): 15-26 (2018) - 2017
- [j1]Pablo Arnau-González, Miguel Arevalillo-Herráez, Naeem Ramzan:
Fusing highly dimensional energy and connectivity features to identify affective states from EEG signals. Neurocomputing 244: 81-89 (2017) - [c5]Aladdin Ayesh, Miguel Arevalillo-Herráez, Pablo Arnau-González:
Class discovery from semi-structured EEG data for affective computing and personalisation. IEEE ICCI*CC 2017: 96-101 - [c4]Pablo Arnau-González, Stamos Katsigiannis, Naeem Ramzan, Debbie Tolson, Miguel Arevalillo-Herráez:
ES1D: A Deep Network for EEG-Based Subject Identification. BIBE 2017: 81-85 - [c2]Miguel Arevalillo-Herráez, Aladdin Ayesh, Olga C. Santos, Pablo Arnau-González:
Combining Supervised and Unsupervised Learning to Discover Emotional Classes. UMAP 2017: 355-356 - 2016
- [c1]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, Raúl Cabestrero, Pilar Quirós, Pablo Arnau-González, Naeem Ramzan:
Affective and Behavioral Assessment for Adaptive Intelligent Tutoring Systems. UMAP (Extended Proceedings) 2016
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