Investigación que impulsa el futuro de la inteligencia artificial
Papers
En IIC creemos en la investigación y la innovación rigurosa, la colaboración abierta y la exploración de nuevas ideas.
A través de nuestras publicaciones científicas compartimos los avances, descubrimientos y aprendizajes que surgen de nuestro trabajo diario, contribuyendo al desarrollo colectivo de la comunidad científica.
Publicamos nuestros resultados para fomentar nuevas ideas, inspirar futuras investigaciones y acelerar la evolución de la inteligencia artificial.
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Título: Teamwork Competency Test (TWCT): A Step Forward on Measuring Teamwork Competencies. Group Dynamics: Theory, Research, and Practice. Vol. 18 [...]
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Título: Using the Implicit Association Test to Assess Risk Propensity Self-concept: Analysis of its Predictive Validity on a Risk-taking Behavior [...]
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Título: Machine Learning Prediction of Global Photovoltaic Energy in Spain. ICREPQ’14, International Conference on Renewable Energies and Power Quality. Córdoba, [...]
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Título: Un nuevo método de standard setting basado en la TRI: aplicación a eCat-Listening. Psicothema. 25 (2), 238-244. Autor: García, [...]
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Título: The predictability of consumer visitation patterns. Scientific Reports. 3, Article 1645. Autor: Krumme, C., Llorente, A., Cebrián, M., Pentland, [...]
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Título: Machine Learning and Social Network Analysis Applied to Alzheimer’s Disease Biomarkers. Artificial Intelligence Techniques in Medicinal Chemistry. Autores: Di [...]
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Título: Time as limited resource: Communication strategy in mobile phone networks. Social Networks. Autor: Miritello, G., Moro, E., Lara, R., [...]
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Título: Jabalín: A Comprehensive Computational Model of Modern Standard Arabic Verbal Morphology Based on Traditional Arabic Prosody. Volume 380 of [...]
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Título: Sparse linear wind farm energy forecast. Artificial Neural Networks and Machine Learning – ICANN 2012. Volume 7553 of the [...]
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Título: Predicting Human Preferences Using the Block Structure of Complex Social Networks. PLoS ONE 7 (9): e44620. Autor: Guimerà, R., [...]
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Título: Simple Proof of Convergence of the SMO Algorithm for Different SVM Variants. IEEE Transactions on Neural Networks and Learning [...]
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Título: Combining scales to assess suicide risk. Journal of Psychiatric Research. 46 (10), 1272-1277. Autor: Blasco-Fontecilla, H., Delgado-Gómez, D., Ruiz-Hernández, [...]