Harald Victor Schweiger, Emilia Parada-Cabaleiro, Markus Schedl
The impact of playlist characteristics on coherence in user-curated music playlists
EPJ Data Science, 2025

Emilia Parada-Cabaleiro, Maximilian Mayerl, Stefan Brandl, Marcin Skowron, Markus Schedl, Elisabeth Lex, Eva Zangerle
Song lyrics have become simpler and more repetitive over the last five decades
Scientific Reports, 2024

Emilia Parada-Cabaleiro, Anton Batliner, Maximilian Schmitt, Markus Schedl, Giovanni Costantini, Björn Schuller
Perception and classification of emotions in nonsense speech: Humans versus machines
PLOS ONE, 2023

Alessandro B. Melchiorre, David Penz, Christian Ganhör, Oleg Lesota, Vasco Bezold Rosner Fragoso, Florian Friztl, Emilia Parada-Cabaleiro, Franz Schubert, Markus Schedl
Emotion-aware Music Tower Blocks (EmoMTB): An Intelligent Audiovisual Interface for Music Discovery and Recommendation
International Journal of Multimedia Information Retrieval (IJMIR), 2023

Emilia Parada-Cabaleiro, Anton Batliner, Marcel Zentner, Markus Schedl
Exploring emotions in Bach chorales: a multi-modal perceptual and data-driven study
Royal Society Open ScienceSpringer, 2023

Antonia Stadler, Emilia Parada-Cabaleiro, Markus Schedl
Towards Potential Applications of Machine Learning in Computer-Assisted Vocal Training
Proceedings of the 16th International Symposium on Computer Music Multidisciplinary Research (CMMR 2023), ., 2023

Emilia Parada-Cabaleiro, Anton Batliner, Maximilian Schmitt, Björn Schuller, Markus Schedl
Music Emotions in Solo Piano: Bridging the Gap Between Human Perception and Machine Learning
Proceedings of the 16th International Symposium on Computer Music Multidisciplinary Research (CMMR 2023), ., 2023

Raisa Romanov Geleta, Klaus Eckelt, Emilia Parada-Cabaleiro, Markus Schedl
Exploring Intensities of Hate Speech on Social Media: A Case Study on Explaining Multilingual Models with XAI
Proceedings of the 4th Conference on Language, Data and Knowledge, 2023

Marta Moscati, Emilia Parada-Cabaleiro, Yashar Deldjoo, Eva Zangerle, Markus Schedl
Music4All-Onion -- A Large-Scale Multi-Faceted Content-Centric Music Recommendation
Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM), 2022

Emilia Parada-Cabaleiro, Anton Batliner, Markus Schedl
An Exploratory Study on the Acoustic Musical Properties to Decrease Self-Perceived Anxiety
International Journal of Environmental Research and Public Health, 2022

Oleg Lesota, Emilia Parada-Cabaleiro, Stefan Brandl, Elisabeth Lex, Navid Rekab-saz, Markus Schedl
Traces of Globalization in Online Music Consumption Patterns and Results of Recommendation Algorithms
Proceedings of the 23rd International Society for Music Information Retrieval Conference, ISMIR 2022, Bengaluru, India, December 4-8, 2022

Alessandro B. Melchiorre, David Penz, Christian Ganhör, Oleg Lesota, Vasco Bezold Rosner Fragoso, Florian Friztl, Emilia Parada-Cabaleiro, Franz Schubert, Markus Schedl
EmoMTB: Emotion-aware Music Tower Blocks
Proceedings of the 2022 ACM International Conference on Multimedia Retrieval (ICMR), 2022

Andreas Peintner, Marta Moscati, Emilia Parada-Cabaleiro, Markus Schedl, Eva Zangerle
Unsupervised Graph Embeddings for Session-based Recommendation with Item Features
CARS Workshop on Context-Aware Recommender Systems (RecSys), 2022

Emilia Parada-Cabaleiro, Maximilian Schmitt, Anton Batliner, Björn Schuller, Markus Schedl
Automatic Recognition of Texture in Renaissance Music
International Society for Music Information Retrieval, 2021

Alessandro B. Melchiorre, Navid Rekab-saz, Emilia Parada-Cabaleiro, Stefan Brandl, Oleg Lesota, Markus Schedl
Investigating Gender Fairness of Recommendation Algorithms in the Music Domain
Information Processing & Management, 2021