Outputs (387)

Towards History-Aware Self-Adaptation with Explanation Capabilities (2019)
Presentation / Conference Contribution
García-Domínguez, A., Bencomo, N., Ullauri, J. M. P., & Paucar, L. H. G. (2019). Towards History-Aware Self-Adaptation with Explanation Capabilities. . https://doi.org/10.1109/fas-w.2019.00018

Preface to 9th International Workshop on Model-Driven Requirements Engineering (2019)
Presentation / Conference Contribution
Bencomo, N., Mussbacher, G., Moreira, A., Araújo, J., & Sánchez, P. (2019). Preface to 9th International Workshop on Model-Driven Requirements Engineering. . https://doi.org/10.1109/rew.2019.00009

Knowledge Base K Models to Support Trade-Offs for Self-Adaptation using Markov Processes (2019)
Presentation / Conference Contribution
Paucar, L. H. G., & Bencomo, N. (2019). Knowledge Base K Models to Support Trade-Offs for Self-Adaptation using Markov Processes. . https://doi.org/10.1109/saso.2019.00011

Querying and Annotating Model Histories with Time-Aware Patterns (2019)
Presentation / Conference Contribution
García-Domínguez, A., Bencomo, N., Ullauri, J. M. P., & Paucar, L. H. G. (2019). Querying and Annotating Model Histories with Time-Aware Patterns. In M. Kessentini, T. Yue, A. Pretschner, S. Voss, & L. Burgueño (Eds.), . https://doi.org/10.1109/models.2019.000-2

ARRoW: automatic runtime reappraisal of weights for self-adaptation (2019)
Presentation / Conference Contribution
Paucar, L. H. G., Bencomo, N., & Yuen, K. K. F. (2019). ARRoW: automatic runtime reappraisal of weights for self-adaptation. In C. Hung, & G. A. Papadopoulos (Eds.), . https://doi.org/10.1145/3297280.3299743

An architectural framework for quality-driven adaptive continuous experimentation (2019)
Presentation / Conference Contribution
Jiménez, M. A., Rivera, L. F., Villegas, N. M., Tamura, G., Müller, H. A., & Bencomo, N. (2019). An architectural framework for quality-driven adaptive continuous experimentation. . https://doi.org/10.1109/rcose/ddree.2019.00012

Summarizing Videos with Attention (2019)
Presentation / Conference Contribution
Fajtl, J., Sokeh, H. S., Argyriou, V., Monekosso, D., & Remagnino, P. (2019, December). Summarizing Videos with Attention. Presented at COMPUTER VISION - ACCV 2018 WORKSHOPS

Automatic recognition of physical exercises performed by stroke survivors to improve remote rehabilitation (2019)
Presentation / Conference Contribution
Schez-Sobrino, S., Monekosso, D. N., Remagnino, P., Vallejo, D., & Glez-Morcillo, C. (2019). Automatic recognition of physical exercises performed by stroke survivors to improve remote rehabilitation.

Single Image Ear Recognition Using Wavelet-Based Multi-Band PCA (2019)
Presentation / Conference Contribution
Zarachoff, M., Sheikh-Akbari, A., & Monekosso, D. (2019). Single Image Ear Recognition Using Wavelet-Based Multi-Band PCA.

Exploring content game elements to support gamification design in educational systems: narrative and storytelling (2019)
Presentation / Conference Contribution
Palomino, P., Toda, A., Oliveira, W., Rodrigues, L., Cristea, A. I., & Isotani, S. (2019). Exploring content game elements to support gamification design in educational systems: narrative and storytelling. . https://doi.org/10.5753/cbie.sbie.2019.773

There are currently several studies on gamification applied to learning systems, aiming to encourage students to do certain tasks and improving their learning. According to several researches, most frameworks for gamification already developed are st... Read More about Exploring content game elements to support gamification design in educational systems: narrative and storytelling.

Image-Evoked Affect and its Impact on EEG-Based Biometrics (2019)
Presentation / Conference Contribution
Arnau-González, P., Katsigiannis, S., Arevalillo-Herráez, M., & Ramzan, N. (2019). Image-Evoked Affect and its Impact on EEG-Based Biometrics. . https://doi.org/10.1109/icip.2019.8803315

SpotDSQ: A 2D-Gel Image Analysis Tool for Protein Spot Detection, Segmentation and Quantification (2019)
Presentation / Conference Contribution
Kostopoulou, E., Katsigiannis, S., & Maroulis, D. (2019). SpotDSQ: A 2D-Gel Image Analysis Tool for Protein Spot Detection, Segmentation and Quantification. . https://doi.org/10.1109/bibe.2019.00015

ECG-based affective computing for difficulty level prediction in Intelligent Tutoring Systems (2019)
Presentation / Conference Contribution
Alqahtani, F., Katsigiannis, S., & Ramzan, N. (2019). ECG-based affective computing for difficulty level prediction in Intelligent Tutoring Systems. . https://doi.org/10.1109/ucet.2019.8881872

On the use of ECG and EMG Signals for Question Difficulty Level Prediction in the Context of Intelligent Tutoring Systems (2019)
Presentation / Conference Contribution
Alqahtani, F., Katsigiannis, S., & Ramzan, N. (2019). On the use of ECG and EMG Signals for Question Difficulty Level Prediction in the Context of Intelligent Tutoring Systems. . https://doi.org/10.1109/bibe.2019.00077

Early Dropout Prediction for Programming Courses Supported by Online Judges (2019)
Presentation / Conference Contribution
Pereira, F. D., Oliveira, E., Cristea, A., Fernandes, D., Silva, L., Aguiar, G., Alamri, A., & Alshehri, M. (2019, June). Early Dropout Prediction for Programming Courses Supported by Online Judges. Presented at AIED 2019, Chicago, IL

Many educational institutions have been using online judges in programming classes, amongst others, to provide faster feedback for students and to reduce the teacher’s workload. There is some evidence that online judges also help in reducing dropout.... Read More about Early Dropout Prediction for Programming Courses Supported by Online Judges.

How Do We Build Practical Systems Involving Ethics and Trust? (2019)
Journal Article
Dennis, L. A., Tubella, A. A., Chatila, R., Duijf, H., Dyoub, A., Eder, K. I., …Singh, M. P. (2019). How Do We Build Practical Systems Involving Ethics and Trust?. Dagstuhl Reports, 9(4), 59-86. https://doi.org/10.4230/dagrep.9.4.59

Models@run.time: a guided tour of the state of the art and research challenges (2019)
Journal Article
Bencomo, N., Götz, S., & Song, H. (2019). Models@run.time: a guided tour of the state of the art and research challenges. https://doi.org/10.1007/s10270-018-00712-x

Perpetual Assurances for Self-Adaptive Systems (2019)
Journal Article
Weyns, D., Bencomo, N., Calinescu, R., Cámara, J., Ghezzi, C., Grassi, V., …Tamburrelli, G. (2019). Perpetual Assurances for Self-Adaptive Systems

Hacking Jeff Minter’s Virtual Light Machine: Unpacking the Code and Community Behind an Early Software-Based Music Visualizer (2019)
Journal Article
Bell, E. (2019). Hacking Jeff Minter’s Virtual Light Machine: Unpacking the Code and Community Behind an Early Software-Based Music Visualizer. Volume ! (En ligne), 15(1), 37-59. https://doi.org/10.4000/volume.7254

A QoE and Simulator Sickness Evaluation of a Smart-Exercise-Bike Virtual Reality System via User Feedback and Physiological Signals (2019)
Journal Article
Katsigiannis, S., Willis, R., & Ramzan, N. (2019). A QoE and Simulator Sickness Evaluation of a Smart-Exercise-Bike Virtual Reality System via User Feedback and Physiological Signals. IEEE Transactions on Consumer Electronics, 65(1), 119-127. https://doi.org/10.1109/tce.2018.2879065