| 2025 | ICASSP | Estimating Musical Surprisal in Audio. | Mathias Rose Bjare, Giorgia Cantisani, Stefan Lattner, Gerhard Widmer |
| 2025 | ICASSP | Effective Pre-Training of Audio Transformers for Sound Event Detection. | Florian Schmid, Tobias Morocutti, Francesco Foscarin, Jan Schlter, Paul Primus, Gerhard Widmer |
| 2024 | IJCAI | Perception-Inspired Graph Convolution for Music Understanding Tasks. | Emmanouil Karystinaios, Francesco Foscarin, Gerhard Widmer |
| 2023 | HCI | Music Visualisation and Its Short-Term Effect on Appraisal Skills. | Ali Nikrang, Maarten Grachten, Martin Gasser, Harald Frostel, Gerhard Widmer, Tom Collins |
| 2023 | ICASSP | Efficient Large-Scale Audio Tagging Via Transformer-to-CNN Knowledge Distillation. | Florian Schmid, Khaled Koutini, Gerhard Widmer |
| 2023 | IJCAI | The ACCompanion: Combining Reactivity, Robustness, and Musical Expressivity in an Automatic Piano Accompanist. | Carlos Cancino Chacn, Silvan Peter, Patricia Hu, Emmanouil Karystinaios, Florian Henkel, Francesco Foscarin, Gerhard Widmer |
| 2023 | IJCAI | Musical Voice Separation as Link Prediction: Modeling a Musical Perception Task as a Multi-Trajectory Tracking Problem. | Emmanouil Karystinaios, Francesco Foscarin, Gerhard Widmer |
| 2023 | IJCAI | Discrete Diffusion Probabilistic Models for Symbolic Music Generation. | Matthias Plasser, Silvan Peter, Gerhard Widmer |
| 2023 | MMSys | Self-Supervised Contrastive Learning for Robust Audio-Sheet Music Retrieval Systems. | Lus Carvalho, Tobias Washttl, Gerhard Widmer |
| 2022 | Interspeech | Efficient Training of Audio Transformers with Patchout. | Khaled Koutini, Jan Schlter, Hamid Eghbal-zadeh, Gerhard Widmer |
| 2021 | ECIR | LEMONS: Listenable Explanations for Music recOmmeNder Systems. | Alessandro B. Melchiorre, Verena Haunschmid, Markus Schedl, Gerhard Widmer |
| 2021 | ICAART | Con Espressione! AI, Machine Learning, and Musical Expressivity. | Gerhard Widmer |
| 2021 | ICASSP | Towards Explaining Expressive Qualities in Piano Recordings: Transfer of Explanatory Features Via Acoustic Domain Adaptation. | Shreyan Chowdhury, Gerhard Widmer |
| 2019 | CVPR | Mixture Density Generative Adversarial Networks. | Hamid Eghbal-zadeh, Werner Zellinger, Gerhard Widmer |
| 2019 | ICASSP | Deep Polyphonic ADSR Piano Note Transcription. | Rainer Kelz, Sebastian Bck, Gerhard Widmer |
| 2018 | ICASSP | Investigating Label Noise Sensitivity of Convolutional Neural Networks for Fine Grained Audio Signal Labelling. | Rainer Kelz, Gerhard Widmer |
| 2018 | ICASSP | A Large-Scale Study of Language Models for Chord Prediction. | Filip Korzeniowski, David R. W. Sears, Gerhard Widmer |
| 2018 | SAC | A hybrid approach to music playlist continuation based on playlist-song membership. | Andreu Vall, Matthias Dorfer, Markus Schedl, Gerhard Widmer |
| 2017 | ICDAR | On the Potential of Fully Convolutional Neural Networks for Musical Symbol Detection. | Matthias Dorfer, Jan Hajic jr., Gerhard Widmer |
| 2017 | RecSys | Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features: Alleviating the Cold-Start Problem for Rare and Out-of-Set Songs. | Andreu Vall, Hamid Eghbal-zadeh, Matthias Dorfer, Markus Schedl, Gerhard Widmer |
| 2017 | RecSys | The Importance of Song Context in Music Playlists. | Andreu Vall, Massimo Quadrana, Markus Schedl, Gerhard Widmer, Paolo Cremonesi |
| 2015 | IJCAI | Artificial Intelligence in the Concertgebouw. | Andreas Arzt, Harald Frostel, Thassilo Gadermaier, Martin Gasser, Maarten Grachten, Gerhard Widmer |
| 2015 | Interspeech | Improving voice activity detection in movies. | Bernhard Lehner, Gerhard Widmer, Reinhard Sonnleitner |
| 2014 | DAFX | Quad-Based Audio Fingerprinting Robust to Time and Frequency Scaling. | Reinhard Sonnleitner, Gerhard Widmer |
| 2014 | ECAI | The Piano Music Companion. | Andreas Arzt, Sebastian Bck, Sebastian Flossmann, Harald Frostel, Martin Gasser, Cynthia C. S. Liem, Gerhard Widmer |
| 2014 | ICASSP | On the reduction of false positives in singing voice detection. | Bernhard Lehner, Gerhard Widmer, Reinhard Sonnleitner |
| 2012 | ECAI | Towards a Complete Classical Music Companion. | Andreas Arzt, Gerhard Widmer, Sebastian Bck, Reinhard Sonnleitner, Harald Frostel |
| 2010 | SIGIR | Three web-based heuristics to determine a person's or institution's country of origin. | Markus Schedl, Klaus Seyerlehner, Dominik Schnitzer, Gerhard Widmer, Cornelia Schiketanz |
| 2009 | ISMIS | Dealing with Music in Intelligent Ways. | Gerhard Widmer |
| 2009 | RecSys | On the limitations of browsing top-N recommender systems. | Klaus Seyerlehner, Arthur Flexer, Gerhard Widmer |
| 2008 | ECAI | Automatic Page Turning for Musicians via Real-Time Machine Listening. | Andreas Arzt, Gerhard Widmer, Simon Dixon |
| 2008 | ECIR | Towards an Automatically Generated Music Information System Via Web Content Mining. | Markus Schedl, Peter Knees, Tim Pohle, Gerhard Widmer |
| 2008 | ICCS | Collaborative and Cooperative Environments. | Christoph Anthes, Vassil Alexandrov, Dieter Kranzlmller, Jens Volkert, Gerhard Widmer |
| 2007 | CBMI | Building an Interactive Next-Generation Artist Recommender Based on Automatically Derived High-Level Concepts. | Tim Pohle, Peter Knees, Markus Schedl, Gerhard Widmer |
| 2007 | ICASSP | Evaluating Low-Level Features for Beat Classification and Tracking. | Fabien Gouyon, Simon Dixon, Gerhard Widmer |
| 2007 | IJCAI | Towards a Computational Model of Melody Identification in Polyphonic Music. | Sren Tjagvad Madsen, Gerhard Widmer |
| 2007 | MUM | One-touch access to music on mobile devices. | Dominik Schnitzer, Tim Pohle, Peter Knees, Gerhard Widmer |
| 2007 | SIGIR | A music search engine built upon audio-based and web-based similarity measures. | Peter Knees, Tim Pohle, Markus Schedl, Gerhard Widmer |
| 2006 | ECIR | Towards Automatic Retrieval of Album Covers. | Markus Schedl, Peter Knees, Tim Pohle, Gerhard Widmer |
| 2005 | FlAIRS | Exploring Similarities in Music Performances with an Evolutionary Algorithm. | Sren Tjagvad Madsen, Gerhard Widmer |
| 2005 | IJCAI | Learning to Play Like the Great Pianists. | Asmir Tobudic, Gerhard Widmer |
| 2005 | ILP | Why Computers Need to Learn About Music. | Gerhard Widmer |
| 2004 | ECAI | Automatic Recognition of Famous Artists by Machine. | Gerhard Widmer, Patrick Zanon |
| 2003 | ICCBR | Playing Mozart Phrase by Phrase. | Asmir Tobudic, Gerhard Widmer |
| 2003 | ILP | Relational IBL in Music with a New Structural Similarity Measure. | Asmir Tobudic, Gerhard Widmer |
| 2003 | KDD | Visualizing changes in the structure of data for exploratory feature selection. | Elias Pampalk, Werner Goebl, Gerhard Widmer |
| 2002 | ALT | In Search of the Horowitz Factor: Interim Report on a Musical Discovery Project. | Gerhard Widmer |
| 2002 | DIS | In Search of the Horowitz Factor: Interim Report on a Musical Discovery Project. | Gerhard Widmer |
| 2002 | ECAI | Music Performer Recognition Using an Ensemble of Simple Classifiers. | Efstathios Stamatatos, Gerhard Widmer |
| 2002 | ICML | Transformation-Based Regression. | Bjrn Bringmann, Stefan Kramer, Friedrich Neubarth, Hannes Pirker, Gerhard Widmer |
| 2001 | FlAIRS | Hybrid Decision Tree Learners with Alternative Leaf Classifiers: An Empirical Study. | Alexander K. Seewald, Johann Petrak, Gerhard Widmer |
| 2000 | ISMIS | Prediction of Ordinal Classes Using Regression Trees. | Stefan Kramer, Gerhard Widmer, Bernhard Pfahringer, Michael de Groeve |
| 1996 | ECAI | What Is It That Makes It a Horowitz? Empirical Musicology via Machine Learning. | Gerhard Widmer |
| 1996 | ICML | Recognition and Exploitation of Contextual CLues via Incremental Meta-Learning. | Gerhard Widmer |
| 1994 | AAAI | The Synergy of Music Theory and Al: Learning Multi-Level Expressive Interpretation. | Gerhard Widmer |
| 1994 | ECAI | Combining Robustness and Flexibility in Learning Drifting Concepts. | Gerhard Widmer |
| 1994 | ICML | Incremental Reduced Error Pruning. | Johannes Frnkranz, Gerhard Widmer |
| 1992 | ECAI | Learning Flexible Concepts from Streams of Examples: FLORA 2. | Gerhard Widmer, Miroslav Kubat |
| 1989 | ICML | A Tight Integration of Deductive Learning. | Gerhard Widmer |