| 2026 | ECIR | Extending Logic Tensor Networks to Implicit Feedback for Representation-Aware Music Recommendation. | Hannah Eckert, Oleg Lesota, Markus Schedl |
| 2026 | IUI | REFLECT: Tutorial on Reflecting on Bias in LLMs through Human-Centered Perspectives. | Antonela Tommasel, Markus Schedl, Ralph Hertwig |
| 2026 | WWW | Robust Harmful Meme Detection under Missing Modalities via Shared Representation Learning. | Felix Breiteneder, Mohammad Belal, Muhammad Saad Saeed, Shahed Masoudian, Usman Naseem, Juhi Kulshrestha, Markus Schedl, Shah Nawaz |
| 2026 | SIGIR | Adaptive Autoguidance for Item-Side Fairness in Diffusion Recommender Systems. | Zihan Li, Gustavo Escobedo, Marta Moscati, Oleg Lesota, Markus Schedl |
| 2025 | ACL | Double Entendre: Robust Audio-Based AI-Generated Lyrics Detection via Multi-View Fusion. | Markus Frohmann, Gabriel Meseguer-Brocal, Markus Schedl, Elena V. Epure |
| 2025 | CBMI | Music4All A+A: A Multimodal Dataset for Music Information Retrieval Tasks. | Jonas Geiger, Marta Moscati, Shah Nawaz, Markus Schedl |
| 2025 | CBMI | Explanatory Interactive Machine Learning for Bias Mitigation in Visual Gender Classification. | Nathanya Queby Satriani, Djordje Slijepcevic, Markus Schedl, Matthias Zeppelzauer |
| 2025 | CHIIR | ExIM: Exploring Intent of Music Listening for Retrieving User-generated Playlists. | Anna Hausberger, Hannah Strau, Markus Schedl |
| 2025 | EMNLP | Characterizing Positional Bias in Large Language Models: A Multi-Model Evaluation of Prompt Order Effects. | Patrick Schilcher, Dominik Karasin, Michael Schpf, Haisam Saleh, Antonela Tommasel, Markus Schedl |
| 2025 | Interspeech | PAEFF: Precise Alignment and Enhanced Gated Feature Fusion for Face-Voice Association. | Abdul Hannan, Muhammad Arslan Manzoor, Shah Nawaz, Muhammad Irzam Liaqat, Markus Schedl, Mubashir Noman |
| 2025 | RecSys | Debiasing Implicit Feedback Recommenders via Sliced Wasserstein Distance-based Regularization. | Gustavo Escobedo, David Penz, Markus Schedl |
| 2025 | RecSys | Fine-tuning for Inference-efficient Calibrated Recommendations. | Oleg Lesota, Adrian Bajko, Max Walder, Matthias Wenzel, Antonela Tommasel, Markus Schedl |
| 2025 | RecSys | Just Ask for Music (JAM): Multimodal and Personalized Natural Language Music Recommendation. | Alessandro B. Melchiorre, Elena V. Epure, Shahed Masoudian, Gustavo Escobedo, Anna Hausberger, Manuel Moussallam, Markus Schedl |
| 2025 | RecSys | Parameter-Efficient Single Collaborative Branch for Recommendation. | Marta Moscati, Shah Nawaz, Markus Schedl |
| 2025 | RecSys | Mitigating Latent User Biases in Pre-trained VAE Recommendation Models via On-demand Input Space Transformation. | David Penz, Gustavo Junior Escobedo Ticona, Markus Schedl |
| 2025 | RecSys | Investigating Carbon Footprint of Recommender Systems Beyond Training Time. | Josef Schodl, Oleg Lesota, Antonela Tommasel, Markus Schedl |
| 2025 | SIGIR | Psychological Aspects in Retrieval and Recommendation. | Markus Schedl, Elisabeth Lex, Marko Tkalcic |
| 2024 | EACL | Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters. | Shahed Masoudian, Cornelia Volaucnik, Markus Schedl, Navid Rekabsaz |
| 2024 | ECIR | The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias. | Peter Mllner, Elisabeth Lex, Markus Schedl, Dominik Kowald |
| 2024 | ECIR | Measuring Bias in Search Results Through Retrieval List Comparison. | Linda Ratz, Markus Schedl, Simone Kopeinik, Navid Rekabsaz |
| 2024 | EMNLP | Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation. | Markus Frohmann, Igor Sterner, Ivan Vulic, Benjamin Minixhofer, Markus Schedl |
| 2024 | EMNLP | Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization. | Shahed Masoudian, Markus Frohmann, Navid Rekabsaz, Markus Schedl |
| 2024 | RecSys | A Multimodal Single-Branch Embedding Network for Recommendation in Cold-Start and Missing Modality Scenarios. | Christian Ganhr, Marta Moscati, Anna Hausberger, Shah Nawaz, Markus Schedl |
| 2024 | RecSys | Oh, Behave! Country Representation Dynamics Created by Feedback Loops in Music Recommender Systems. | Oleg Lesota, Jonas Geiger, Max Walder, Dominik Kowald, Markus Schedl |
| 2024 | WSDM | Psychology-informed Information Access Systems Workshop. | Markus Schedl, Marta Moscati, Bruno Massoni Sguerra, Romain Hennequin, Elisabeth Lex |
| 2023 | ACL | Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks. | Lukas Hauzenberger, Shahed Masoudian, Deepak Kumar, Markus Schedl, Navid Rekabsaz |
| 2023 | CHI | Show me a "Male Nurse"! How Gender Bias is Reflected in the Query Formulation of Search Engine Users. | Simone Kopeinik, Martina Mara, Linda Ratz, Klara Krieg, Markus Schedl, Navid Rekabsaz |
| 2023 | CHIIR | I Don't Care How Popular You Are! Investigating Popularity Bias in Music Recommendations from a User's Perspective. | Bruce Ferwerda, Eveline Ingesson, Michaela Berndl, Markus Schedl |
| 2023 | CHIIR | Grep-BiasIR: A Dataset for Investigating Gender Representation Bias in Information Retrieval Results. | Klara Krieg, Emilia Parada-Cabaleiro, Gertraud Medicus, Oleg Lesota, Markus Schedl, Navid Rekabsaz |
| 2023 | EACL | Parameter-efficient Modularised Bias Mitigation via AdapterFusion. | Deepak Kumar, Oleg Lesota, George Zerveas, Daniel Cohen, Carsten Eickhoff, Markus Schedl, Navid Rekabsaz |
| 2023 | LDK | 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 |
| 2023 | RecSys | Multiobjective Hyperparameter Optimization of Recommender Systems. | Marta Moscati, Yashar Deldjoo, Giulio Davide Carparelli, Markus Schedl |
| 2023 | RecSys | Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation. | Marta Moscati, Christian Wallmann, Markus Reiter-Haas, Dominik Kowald, Elisabeth Lex, Markus Schedl |
| 2023 | RecSys | Trustworthy Recommender Systems: Technical, Ethical, Legal, and Regulatory Perspectives. | Markus Schedl, Vito Walter Anelli, Elisabeth Lex |
| 2023 | SIGIR | Computational Versus Perceived Popularity Miscalibration in Recommender Systems. | Oleg Lesota, Gustavo Escobedo, Yashar Deldjoo, Bruce Ferwerda, Simone Kopeinik, Elisabeth Lex, Navid Rekabsaz, Markus Schedl |
| 2023 | WSDM | Travel Bird: A Personalized Destination Recommender with TourBERT and Airbnb Experiences. | Veronika Arefieva, Roman Egger, Michael Schrefl, Markus Schedl |
| 2023 | WSDM | Trustworthy Algorithmic Ranking Systems. | Markus Schedl, Emilia Gmez, Elisabeth Lex |
| 2022 | CHIIR | Psychology-informed Recommender Systems: A Human-Centric Perspective on Recommender Systems. | Elisabeth Lex, Markus Schedl |
| 2022 | CHIIR | LFM-2b: A Dataset of Enriched Music Listening Events for Recommender Systems Research and Fairness Analysis. | Markus Schedl, Stefan Brandl, Oleg Lesota, Emilia Parada-Cabaleiro, David Penz, Navid Rekabsaz |
| 2022 | CIKM | Music4All-Onion - A Large-Scale Multi-faceted Content-Centric Music Recommendation Dataset. | Marta Moscati, Emilia Parada-Cabaleiro, Yashar Deldjoo, Eva Zangerle, Markus Schedl |
| 2022 | RecSys | Exploring Cross-group Discrepancies in Calibrated Popularity for Accuracy/Fairness Trade-off Optimization. | Oleg Lesota, Stefan Brandl, Matthias Wenzel, Alessandro B. Melchiorre, Elisabeth Lex, Navid Rekabsaz, Markus Schedl |
| 2022 | RecSys | Psychology-informed Recommender Systems Tutorial. | Elisabeth Lex, Markus Schedl |
| 2022 | RecSys | ProtoMF: Prototype-based Matrix Factorization for Effective and Explainable Recommendations. | Alessandro B. Melchiorre, Navid Rekabsaz, Christian Ganhr, Markus Schedl |
| 2022 | WWW | Accepted Tutorials at The Web Conference 2022. | Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lyu, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He |
| 2022 | SIGIR | Unlearning Protected User Attributes in Recommendations with Adversarial Training. | Christian Ganhr, David Penz, Navid Rekabsaz, Oleg Lesota, Markus Schedl |
| 2022 | SIGIR | Retrieval and Recommendation Systems at the Crossroads of Artificial Intelligence, Ethics, and Regulation. | Markus Schedl, Emilia Gmez, Elisabeth Lex |
| 2021 | ECIR | LEMONS: Listenable Explanations for Music recOmmeNder Systems. | Alessandro B. Melchiorre, Verena Haunschmid, Markus Schedl, Gerhard Widmer |
| 2021 | ICTIR | A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models. | Oleg Lesota, Navid Rekabsaz, Daniel Cohen, Klaus Antonius Grasserbauer, Carsten Eickhoff, Markus Schedl |
| 2021 | RecSys | Team JKU-AIWarriors in the ACM Recommender Systems Challenge 2021: Lightweight XGBoost Recommendation Approach Leveraging User Features. | Alexander Krauck, David Penz, Markus Schedl |
| 2021 | RecSys | Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected? | Oleg Lesota, Alessandro B. Melchiorre, Navid Rekabsaz, Stefan Brandl, Dominik Kowald, Elisabeth Lex, Markus Schedl |
| 2021 | RecSys | Predicting Music Relistening Behavior Using the ACT-R Framework. | Markus Reiter-Haas, Emilia Parada-Cabaleiro, Markus Schedl, Elham Motamedi, Marko Tkalcic, Elisabeth Lex |
| 2021 | WWW | Cross-city Analysis of Location-based Sentiment in User-generated Text. | Christopher Stelzmller, Sebastian Tanzer, Markus Schedl |
| 2021 | SIGIR | Current Challenges and Future Directions in Podcast Information Access. | Rosie Jones, Hamed Zamani, Markus Schedl, Ching-Wei Chen, Sravana Reddy, Ann Clifton, Jussi Karlgren, Helia Hashemi, Aasish Pappu, Zahra Nazari, Longqi Yang, Oguz Semerci, Hugues Bouchard, Ben Carterette |
| 2021 | SIGIR | Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation of BERT Rankers. | Navid Rekabsaz, Simone Kopeinik, Markus Schedl |
| 2021 | SIGIR | TripClick: The Log Files of a Large Health Web Search Engine. | Navid Rekabsaz, Oleg Lesota, Markus Schedl, Jon Brassey, Carsten Eickhoff |
| 2020 | ECIR | The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study. | Dominik Kowald, Markus Schedl, Elisabeth Lex |
| 2020 | RecSys | Personality Bias of Music Recommendation Algorithms. | Alessandro B. Melchiorre, Eva Zangerle, Markus Schedl |
| 2020 | SIGIR | Do Neural Ranking Models Intensify Gender Bias? | Navid Rekabsaz, Markus Schedl |
| 2019 | CBMI | Retrieving Relevant and Diverse Movie Clips Using the MFVCD-7K Multifaceted Video Clip Dataset. | Yashar Deldjoo, Markus Schedl |
| 2019 | CBMI | Movie Genome Recommender: A Novel Recommender System Based on Multimedia Content. | Yashar Deldjoo, Markus Schedl, Mehdi Elahi |
| 2019 | CHI | Cross-country User Connections in an Online Social Network for Music. | Christine Bauer, Markus Schedl |
| 2019 | IUI | Intelligent music interfaces for listening and creation. | Peter Knees, Markus Schedl, Rebecca Fiebrink |
| 2019 | RecSys | Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Features. | Luca Luciano Costanzo, Yashar Deldjoo, Maurizio Ferrari Dacrema, Markus Schedl, Paolo Cremonesi |
| 2019 | WWW | Genre Differences of Song Lyrics and Artist Wikis: An Analysis of Popularity, Length, Repetitiveness, and Readability. | Markus Schedl |
| 2018 | ICTAI | Regressing Controversy of Music Artists from Microblogs. | Mhd Mousa Hamad, Marcin Skowron, Markus Schedl |
| 2018 | IUI | geMsearch: Personalized Explorative Music Search. | Christian Esswein, Markus Schedl, Eva Zangerle |
| 2018 | MMM | Rethinking Summarization and Storytelling for Modern Social Multimedia. | Stevan Rudinac, Tat-Seng Chua, Nicols E. Daz Ferreyra, Gerald Friedland, Tatjana Gornostaja, Benoit Huet, Rianne Kaptein, Krister Lindn, Marie-Francine Moens, Jaakko Peltonen, Miriam Redi, Markus Schedl, David A. Shamma, Alan F. Smeaton, Lexing Xie |
| 2018 | MMSys | MMTF-14K: a multifaceted movie trailer feature dataset for recommendation and retrieval. | Yashar Deldjoo, Mihai Gabriel Constantin, Bogdan Ionescu, Markus Schedl, Paolo Cremonesi |
| 2018 | RecSys | Recsys challenge 2018: automatic music playlist continuation. | Ching-Wei Chen, Paul Lamere, Markus Schedl, Hamed Zamani |
| 2018 | RecSys | Audio-visual encoding of multimedia content for enhancing movie recommendations. | Yashar Deldjoo, Mihai Gabriel Constantin, Hamid Eghbal-Zadeh, Bogdan Ionescu, Markus Schedl, Paolo Cremonesi |
| 2018 | RecSys | Multimedia recommender systems. | Yashar Deldjoo, Markus Schedl, Balzs Hidasi, Peter Knees |
| 2018 | WWW | The Effects of Real-world Events on Music Listening Behavior: An Intervention Time Series Analysis. | Markus Schedl, Eelco Wiechert, Christine Bauer |
| 2018 | SAC | A hybrid approach to music playlist continuation based on playlist-song membership. | Andreu Vall, Matthias Dorfer, Markus Schedl, Gerhard Widmer |
| 2017 | CBMI | The effect of different video summarization models on the quality of video recommendation based on low-level visual features. | Yashar Deldjoo, Paolo Cremonesi, Markus Schedl, Massimo Quadrana |
| 2017 | CBMI | Prediction of User Demographics from Music Listening Habits. | Thomas Krismayer, Markus Schedl, Peter Knees, Rick Rabiser |
| 2017 | ECIR | Predicting Genre Preferences from Cultural and Socio-Economic Factors for Music Retrieval. | Marcin Skowron, Florian Lemmerich, Bruce Ferwerda, Markus Schedl |
| 2017 | ISM | Mining Culture-Specific Music Listening Behavior from Social Media Data. | Martin Pichl, Eva Zangerle, Gnther Specht, Markus Schedl |
| 2017 | ISM | Large-Scale Analysis of Group-Specific Music Genre Taste from Collaborative Tags. | Markus Schedl, Bruce Ferwerda |
| 2017 | ISM | Indicators of Country Similarity in Terms of Music Taste, Cultural, and Socio-economic Factors. | Markus Schedl, Florian Lemmerich, Bruce Ferwerda, Marcin Skowron, Peter Knees |
| 2017 | IUI | IUI'17 Companion-Workshop Summary for HUMANIZE'17. | Mark P. Graus, Bruce Ferwerda, Markus Schedl, Marko Tkalcic, Martijn C. Willemsen, Panagiotis Germanakos |
| 2017 | IUI | Intelligent User Interfaces for Social Music Discovery and Exploration of Large-scale Music Repositories. | Markus Schedl |
| 2017 | MOMM | Introducing Global and Regional Mainstreaminess for Improving Personalized Music Recommendation. | Markus Schedl, Christine Bauer |
| 2017 | RecSys | Personality Traits and Music Genre Preferences: How Music Taste Varies Over Age Groups. | Bruce Ferwerda, Marko Tkalcic, Markus Schedl |
| 2017 | RecSys | New Paths in Music Recommender Systems Research. | Markus Schedl, Peter Knees, Fabien Gouyon |
| 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 |
| 2017 | SAC | How item discovery enabled by diversity leads to increased recommendation list attractiveness. | Bruce Ferwerda, Mark P. Graus, Andreu Vall, Marko Tkalcic, Markus Schedl |
| 2017 | SISAP | On Competitiveness of Nearest-Neighbor-Based Music Classification: A Methodological Critique. | Haukur Plmason, Bjrn r Jnsson, Laurent Amsaleg, Markus Schedl, Peter Knees |
| 2016 | CBMI | Music Tweet Map: A browsing interface to explore the microblogosphere of music. | David Hauger, Markus Schedl |
| 2016 | CBMI | A dataset of multimedia material about classical music: PHENICX-SMM. | Markus Schedl, David Hauger, Marko Tkalcic, Mark S. Melenhorst, Cynthia C. S. Liem |
| 2016 | ECIR | Fusing Web and Audio Predictors to Localize the Origin of Music Pieces for Geospatial Retrieval. | Markus Schedl, Fang Zhou |
| 2016 | MMM | Using Instagram Picture Features to Predict Users' Personality. | Bruce Ferwerda, Markus Schedl, Marko Tkalcic |
| 2016 | MMSys | A personality-based adaptive system for visualizing classical music performances. | Markus Schedl, Mark S. Melenhorst, Cynthia C. S. Liem, Agustn Martorell, Oscar Mayor, Marko Tkalcic |
| 2016 | RecSys | The Influence of Users' Personality Traits on Satisfaction and Attractiveness of Diversified Recommendation Lists. | Bruce Ferwerda, Mark P. Graus, Andreu Vall, Marko Tkalcic, Markus Schedl |
| 2016 | WWW | Personality Traits and the Relationship with (Non-) Disclosure Behavior on Facebook. | Bruce Ferwerda, Markus Schedl, Marko Tkalcic |
| 2016 | WWW | Fusing Social Media Cues: Personality Prediction from Twitter and Instagram. | Marcin Skowron, Marko Tkalcic, Bruce Ferwerda, Markus Schedl |
| 2015 | CBMI | VSD2014: A dataset for violent scenes detection in hollywood movies and web videos. | Markus Schedl, Mats Sjberg, Ionut Mironica, Bogdan Ionescu, Vu Lam Quang, Yu-Gang Jiang, Claire-Hlne Demarty |
| 2015 | CHI | Personality Traits Predict Music Taxonomy Preferences. | Bruce Ferwerda, Emily Yang, Markus Schedl, Marko Tkalcic |
| 2015 | ECIR | On the Influence of User Characteristics on Music Recommendation Algorithms. | Markus Schedl, David Hauger, Katayoun Farrahi, Marko Tkalcic |
| 2015 | ICDM | Towards Personalizing Classical Music Recommendations. | Markus Schedl |
| 2015 | MMM | Iron Maiden While Jogging, Debussy for Dinner? - An Analysis of Music Listening Behavior in Context. | Michael Gillhofer, Markus Schedl |
| 2015 | RecSys | Predicting Personality Traits with Instagram Pictures. | Bruce Ferwerda, Markus Schedl, Marko Tkalcic |
| 2015 | SIGIR | Music Retrieval and Recommendation: A Tutorial Overview. | Peter Knees, Markus Schedl |
| 2015 | SIGIR | Tailoring Music Recommendations to Users by Considering Diversity, Mainstreaminess, and Novelty. | Markus Schedl, David Hauger |
| 2014 | CBMI | Benchmarking Violent Scenes Detection in movies. | Claire-Hlne Demarty, Bogdan Ionescu, Yu-Gang Jiang, Vu Lam Quang, Markus Schedl, Cdric Penet |
| 2014 | MMM | Location-Aware Music Artist Recommendation. | Markus Schedl, Dominik Schnitzer |
| 2014 | SIGIR | Social media and classical music?: a first analysis within the PHENICX project: "performances as highly enriched aNd interactive concert eXperiences". | Markus Schedl |
| 2014 | SIGIR | SoMeRA 2014: social media retrieval and analysis workshop. | Markus Schedl, Peter Knees, Jialie Shen |
| 2014 | SIGIR | User geospatial context for music recommendation in microblogs. | Markus Schedl, Andreu Vall, Katayoun Farrahi |
| 2013 | ECIR | Leveraging Microblogs for Spatiotemporal Music Information Retrieval. | Markus Schedl |
| 2013 | MMSys | A professionally annotated and enriched multimodal data set on popular music. | Markus Schedl, Nicola Orio, Cynthia C. S. Liem, Geoffroy Peeters |
| 2013 | MOMM | Personalized Music Recommendation in a Mobile Environment. | Claus Schabetsberger, Markus Schedl |
| 2013 | MOMM | Ameliorating Music Recommendation: Integrating Music Content, Music Context, and User Context for Improved Music Retrieval and Recommendation. | Markus Schedl |
| 2013 | RecSys | Location-aware music recommendation using auto-tagging and hybrid matching. | Marius Kaminskas, Francesco Ricci, Markus Schedl |
| 2013 | SIGIR | Music similarity and retrieval. | Peter Knees, Markus Schedl |
| 2013 | SIGIR | Hybrid retrieval approaches to geospatial music recommendation. | Markus Schedl, Dominik Schnitzer |
| 2012 | ICASSP | Polyphonic piano note transcription with recurrent neural networks. | Sebastian Bck, Markus Schedl |
| 2012 | WWW | Mining microblogs to infer music artist similarity and cultural listening patterns. | Markus Schedl, David Hauger |
| 2012 | WWW | Towards minimal test collections for evaluation of audio music similarity and retrieval. | Julin Urbano, Markus Schedl |
| 2011 | CIKM | Overview of the third international workshop on search and mining user-generated contents. | Ivn Cantador, Jos Carlos Cortizo, Francisco M. Carrero, Jos A. Troyano, Paolo Rosso, Markus Schedl |
| 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 |
| 2008 | ECIR | A Document-Centered Approach to a Natural Language Music Search Engine. | Peter Knees, Tim Pohle, Markus Schedl, Dominik Schnitzer, Klaus Seyerlehner |
| 2008 | ECIR | Towards an Automatically Generated Music Information System Via Web Content Mining. | Markus Schedl, Peter Knees, Tim Pohle, 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 | 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 |
| 2002 | ICRA | DLR's Torque-Controlled Light Weight Robot III - Are We Reaching the Technological Limits Now? | Gerd Hirzinger, Norbert Sporer, Alin Albu-Schffer, Matthias Hhnle, R. Krenn, A. Pascucci, Markus Schedl |