Univ. Ass., Dr. Emilia Parada-Cabaleiro

The impact of playlist characteristics on coherence in user-curated music playlists

Harald Victor Schweiger, Emilia Parada-Cabaleiro, Markus Schedl

EPJ Data Science

Song lyrics have become simpler and more repetitive over the last five decades

Emilia Parada-Cabaleiro, Maximilian Mayerl, Stefan Brandl, Marcin Skowron, Markus Schedl, Elisabeth Lex, Eva Zangerle

Scientific Reports

Emotion-aware Music Tower Blocks (EmoMTB): An Intelligent Audiovisual Interface for Music Discovery and Recommendation

Alessandro B. Melchiorre, David Penz, Christian Ganhör, Oleg Lesota, Vasco Bezold Rosner Fragoso, Florian Friztl, Emilia Parada-Cabaleiro, Franz Schubert, Markus Schedl

International Journal of Multimedia Information Retrieval (IJMIR)

Exploring emotions in Bach chorales: a multi-modal perceptual and data-driven study

Emilia Parada-Cabaleiro, Anton Batliner, Marcel Zentner, Markus Schedl

Royal Society Open ScienceSpringer

Exploring Intensities of Hate Speech on Social Media: A Case Study on Explaining Multilingual Models with XAI

Raisa Romanov Geleta, Klaus Eckelt, Emilia Parada-Cabaleiro, Markus Schedl

Proceedings of the 4th Conference on Language, Data and Knowledge

Music Emotions in Solo Piano: Bridging the Gap Between Human Perception and Machine Learning

Emilia Parada-Cabaleiro, Anton Batliner, Maximilian Schmitt, Björn Schuller, Markus Schedl

Proceedings of the 16th International Symposium on Computer Music Multidisciplinary Research (CMMR 2023), .

Perception and classification of emotions in nonsense speech: Humans versus machines

Emilia Parada-Cabaleiro, Anton Batliner, Maximilian Schmitt, Markus Schedl, Giovanni Costantini, Björn Schuller

PLOS ONE

Towards Potential Applications of Machine Learning in Computer-Assisted Vocal Training

Antonia Stadler, Emilia Parada-Cabaleiro, Markus Schedl

Proceedings of the 16th International Symposium on Computer Music Multidisciplinary Research (CMMR 2023), .

An Exploratory Study on the Acoustic Musical Properties to Decrease Self-Perceived Anxiety

Emilia Parada-Cabaleiro, Anton Batliner, Markus Schedl

International Journal of Environmental Research and Public Health

EmoMTB: Emotion-aware Music Tower Blocks

Alessandro B. Melchiorre, David Penz, Christian Ganhör, Oleg Lesota, Vasco Bezold Rosner Fragoso, Florian Friztl, Emilia Parada-Cabaleiro, Franz Schubert, Markus Schedl

Proceedings of the 2022 ACM International Conference on Multimedia Retrieval (ICMR)

Music4All-Onion -- A Large-Scale Multi-Faceted Content-Centric Music Recommendation

Marta Moscati, Emilia Parada-Cabaleiro, Yashar Deldjoo, Eva Zangerle, Markus Schedl

Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM)

Traces of Globalization in Online Music Consumption Patterns and Results of Recommendation Algorithms

Oleg Lesota, Emilia Parada-Cabaleiro, Stefan Brandl, Elisabeth Lex, Navid Rekab-saz, Markus Schedl

Proceedings of the 23rd International Society for Music Information Retrieval Conference, ISMIR 2022, Bengaluru, India, December 4-8

Award · Best Student Paper Award

Unsupervised Graph Embeddings for Session-based Recommendation with Item Features

Andreas Peintner, Marta Moscati, Emilia Parada-Cabaleiro, Markus Schedl, Eva Zangerle

CARS Workshop on Context-Aware Recommender Systems (RecSys)

Automatic Recognition of Texture in Renaissance Music

Emilia Parada-Cabaleiro, Maximilian Schmitt, Anton Batliner, Björn Schuller, Markus Schedl

International Society for Music Information Retrieval

Investigating Gender Fairness of Recommendation Algorithms in the Music Domain

Alessandro B. Melchiorre, Navid Rekab-saz, Emilia Parada-Cabaleiro, Stefan Brandl, Oleg Lesota, Markus Schedl

Information Processing & Management