Publicaciones en colaboración con investigadores/as de Universidad Carlos III de Madrid (68)

2021

  1. A Natural Language Processing Approach to Represent Maps from Their Description in Natural Language

    Advances in Intelligent Systems and Computing

  2. Adaptive dialogue management using intent clustering and fuzzy rules

    Expert Systems

  3. An empirical assessment of deep learning approaches to task-oriented dialog management

    Neurocomputing, Vol. 439, pp. 327-339

  4. Feature set ensembles for sentiment analysis of tweets

    Intelligent Systems Reference Library (Springer), pp. 189-208

2020

  1. A data-driven approach to spoken dialog segmentation

    Neurocomputing, Vol. 391, pp. 292-304

2019

  1. Combining speech-based and linguistic classifiers to recognize emotion in user spoken utterances

    Neurocomputing, Vol. 326-327, pp. 132-140

  2. Data science and conversational interfaces: A new revolution in digital business

    Data Science and Digital Business (Springer International Publishing), pp. 41-56

  3. Developing enhanced conversational agents for social virtual worlds

    Neurocomputing, Vol. 354, pp. 27-40

  4. Discovering dialog rules by means of an evolutionary approach

    Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

  5. Mobile conversational agents for stroke rehabilitation therapy

    Proceedings - IEEE Symposium on Computer-Based Medical Systems

  6. Natural Language for an Interoperable Internet of Simple Things

    IEEE 5th World Forum on Internet of Things, WF-IoT 2019 - Conference Proceedings

2018

  1. Increasing the role of data analytics in m-learning conversational applications

    Lecture Notes on Data Engineering and Communications Technologies (Springer Science and Business Media Deutschland GmbH), pp. 93-113

2017

  1. An affective utility model of user motivation for counselling dialogue systems

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Incorporating android conversational agents in m-learning apps

    Expert Systems, Vol. 34, Núm. 4

2016

  1. A neural network approach to intention modeling for user-adapted conversational agents

    Computational Intelligence and Neuroscience, Vol. 2016

  2. An approach to sentiment analysis for mobile speech applications

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Big data for conversational interfaces: Current opportunities and prospects

    Big Data Management (Springer International Publishing), pp. 103-121

  4. Combining several user models to improve and adapt the dialog management process in spoken dialog systems

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  5. Conversational Agents as Learning Facilitators: Experiences With a Mobile Multimodal Dialogue System Architecture

    Formative Assessment, Learning Data Analytics and Gamification: In ICT Education (Elsevier Inc.), pp. 313-331

  6. Mobile Conversational Agents for Context-Aware Care Applications

    Cognitive Computation, Vol. 8, Núm. 2, pp. 336-356