Patrícia Bota, Joana Brito, Ana Fred, Pablo Cesar, Hugo Silva (2024), A real-world dataset of group emotion experiences based on physiological data, In Scientific Data Volume 11.

Romulo Vieira, Debora Muchaluat-Saade, Pablo Cesar (2024), Exploring Artificial Intelligence for Advancing Performance Processes and Events in Io3MT, Stevan Rudinac, Marcel Worring, Cynthia Liem, Alan Hanjalic, Björn Pór Jónsson, Yoko Yamakata, Bei Liu (Eds.), In MultiMedia Modeling - 30th International Conference, MMM 2024, Proceedings p.234-248, Springer Science and Business Media Deutschland GmbH.

Patricia Bota, Pablo Cesar, Ana Fred, Hugo Placido da Silva (2024), Exploring Retrospective Annotation in Long-videos for Emotion Recognition, In IEEE Transactions on Affective Computing p.1-12.

Elvin Isufi, Fernando Gama, David I. Shuman, Santiago Segarra (2024), Graph Filters for Signal Processing and Machine Learning on Graphs, In IEEE Transactions on Signal Processing.

Stevan Rudinac, Alan Hanjalic, Cynthia Liem, Marcel Worring, Björn Þór Jónsson, Bei Liu, Yoko Yamakata (2024), Preface, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 14557 LNCS.

Thomas B. Tienkamp, Teja Rebernik, Bence M. Halpern, Rob J.J.H. van Son, Martijn Wieling, Max J.H. Witjes, Sebastiaan A.H.J. de Visscher, Defne Abur (2024), Quantifying Articulatory Working Space in Individuals Surgically Treated for Oral Cancer With Electromagnetic Articulography, In Journal of speech, language, and hearing research : JSLHR Volume 67 p.384-399.

Shruti Rao, Sabrina Wirjopawiro, Gerard Pons Rodriguez, Thomas Röggla, Pablo Cesar, Abdallah El Ali (2023), Affective Driver-Pedestrian Interaction: Exploring Driver Affective Responses toward Pedestrian Crossing Actions using Camera and Physiological Sensors, In 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2023 - Main Conference Proceedings p.300-310, Association for Computing Machinery (ACM).

Andra Georgiana Sav, Andrew M. Demetriou, Cynthia C.S. Liem (2023), Annotation Practices in Societally Impactful Machine Learning Applications: What are Popular Recommender Systems Models Actually Trained On?, In CEUR Workshop Proceedings.

Xinsheng Wang, Qicong Xie, Lei Xie, Jihua Zhu, Odette Scharenborg (2023), AnyoneNet: Synchronized Speech and Talking Head Generation for Arbitrary Persons, In IEEE Transactions on Multimedia Volume 25 p.6717-6728.

Bulat Kerimov, Roberto Bentivoglio, Alexander Garzón, Elvin Isufi, Franz Tscheikner-Gratl, David Bernhard Steffelbauer, Riccardo Taormina (2023), Assessing the performances and transferability of graph neural network metamodels for water distribution systems, In Journal of Hydroinformatics Volume 25 p.2223-2234.