Markus Schedl - RankMe

376 papers A* 25A 48B 18C 18Misc 4Journal 117Unranked 131

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Autoguidance for Item-Side Fairness in Diffusion Recommender Systems. CoRR Zihan Li, Gustavo Escobedo, Marta Moscati, Oleg Lesota, Markus Schedl
2026	J	`jnl`	Distillation-based Layer Dropping (DLD): Effective End-to-end Framework for Dynamic Speech Networks. CoRR Abdul Hannan, Daniele Falavigna, Shah Nawaz, Mubashir Noman, Markus Schedl, Alessio Brutti
2026	J	`jnl`	Explanatory Interactive Machine Learning for Bias Mitigation in Visual Gender Classification. CoRR Nathanya Queby Satriani, Djordje Slijepcevic, Markus Schedl, Matthias Zeppelzauer
2026	—	`conf`	Extending Logic Tensor Networks to Implicit Feedback for Representation-Aware Music Recommendation. ECIR (3) Hannah Eckert, Oleg Lesota, Markus Schedl
2026	J	`jnl`	Face-Voice Association with Inductive Bias for Maximum Class Separation. CoRR Marta Moscati, Oleksandr Kats, Mubashir Noman, Muhammad Zaigham Zaheer, Yufang Hou, Markus Schedl, Shah Nawaz
2026	J	`jnl`	How Far Can Pretrained LLMs Go in Symbolic Music? Controlled Comparisons of Supervised and Preference-based Adaptation. CoRR Deepak Kumar, Emmanouil Karystinaios, Gerhard Widmer, Markus Schedl
2026	J	`jnl`	POLY-SIM: Polyglot Speaker Identification with Missing Modality Grand Challenge 2026 Evaluation Plan. CoRR Marta Moscati, Muhammad Saad Saeed, Marina Zanoni, Mubashir Noman, Rohan Kumar Das, Monorama Swain, Yufang Hou, Elisabeth Andre, Khalid Mahmood Malik, Markus Schedl, Shah Nawaz
2026	—	`conf`	REFLECT: Tutorial on Reflecting on Bias in LLMs through Human-Centered Perspectives. IUI Companion Antonela Tommasel, Markus Schedl, Ralph Hertwig
2026	J	`jnl`	Robust Harmful Meme Detection under Missing Modalities via Shared Representation Learning. CoRR Felix Breiteneder, Mohammad Belal, Muhammad Saad Saeed, Shahed Masoudian, Usman Naseem, Juhi Kulshrestha, Markus Schedl, Shah Nawaz
2025	—	`conf`	AI-Generated Song Detection via Lyrics Transcripts. ISMIR Markus Frohmann, Elena V. Epure, Gabriel Meseguer-Brocal, Markus Schedl, Romain Hennequin
2025	J	`jnl`	AI-Generated Song Detection via Lyrics Transcripts. CoRR Markus Frohmann, Elena V. Epure, Gabriel Meseguer-Brocal, Markus Schedl, Romain Hennequin
2025	J	`jnl`	Chameleon: A Multimodal Learning Framework Robust to Missing Modalities. Int. J. Multim. Inf. Retr. Muhammad Irzam Liaqat, Shah Nawaz, Muhammad Zaigham Zaheer, Muhammad Saad Saeed, Hassan Sajjad, Tom De Schepper, Karthik Nandakumar, Muhammad Haris Khan, Ignazio Gallo, Markus Schedl
2025	—	`conf`	Characterizing Positional Bias in Large Language Models: A Multi-Model Evaluation of Prompt Order Effects. EMNLP (Findings) Patrick Schilcher, Dominik Karasin, Michael Schöpf, Haisam Saleh, Antonela Tommasel, Markus Schedl
2025	A	`conf`	Debiasing Implicit Feedback Recommenders via Sliced Wasserstein Distance-based Regularization. RecSys Gustavo Escobedo, David Penz, Markus Schedl
2025	—	`conf`	Double Entendre: Robust Audio-Based AI-Generated Lyrics Detection via Multi-View Fusion. ACL (Findings) Markus Frohmann, Gabriel Meseguer-Brocal, Markus Schedl, Elena V. Epure
2025	J	`jnl`	Double Entendre: Robust Audio-Based AI-Generated Lyrics Detection via Multi-View Fusion. CoRR Markus Frohmann, Gabriel Meseguer-Brocal, Markus Schedl, Elena V. Epure
2025	—	`conf`	Enhancing Music Recommender Systems with Multimedia Content: A Context-Aware Approach. ISMIR Oleg Lesota, Veronica Clavijo, Attia Rizwani, Markus Schedl, Bruce Ferwerda
2025	B	`conf`	ExIM: Exploring Intent of Music Listening for Retrieving User-generated Playlists. CHIIR Anna Hausberger, Hannah Strauß, Markus Schedl
2025	C	`conf`	Explanatory Interactive Machine Learning for Bias Mitigation in Visual Gender Classification. CBMI Nathanya Queby Satriani, Djordje Slijepcevic, Markus Schedl, Matthias Zeppelzauer
2025	J	`jnl`	Face-voice Association in Multilingual Environments (FAME) 2026 Challenge Evaluation Plan. CoRR Marta Moscati, Ahmed Abdullah, Muhammad Saad Saeed, Shah Nawaz, Rohan Kumar Das, Muhammad Zaigham Zaheer, Junaid Mir, Muhammad Haroon Yousaf, Khalid Malik, Markus Schedl
2025	A	`conf`	Familiarizing with Music: Discovery Patterns for Different Music Discovery Needs. UMAP Marta Moscati, Darius Afchar, Markus Schedl, Bruno Sguerra
2025	J	`jnl`	Familiarizing with Music: Discovery Patterns for Different Music Discovery Needs. CoRR Marta Moscati, Darius Afchar, Markus Schedl, Bruno Sguerra
2025	A	`conf`	Fine-tuning for Inference-efficient Calibrated Recommendations. RecSys Oleg Lesota, Adrian Bajko, Max Walder, Matthias Wenzel, Antonela Tommasel, Markus Schedl
2025	—	`conf`	Hybrid AI for Human-Centric Personalization (HyPer). UMAP (Adjunct Publication) Elisabeth Lex, Kevin Innerebner, Marko Tkalcic, Dominik Kowald, Markus Schedl
2025	—	`conf`	Hybrid Personalization Using Declarative and Procedural Memory Modules of the Cognitive Architecture ACT-R. UMAP (Adjunct Publication) Kevin Innerebner, Dominik Kowald, Markus Schedl, Elisabeth Lex
2025	J	`jnl`	Hybrid Personalization Using Declarative and Procedural Memory Modules of the Cognitive Architecture ACT-R. CoRR Kevin Innerebner, Dominik Kowald, Markus Schedl, Elisabeth Lex
2025	J	`jnl`	Iguanodon: A Code-Breaking Game for Improving Visualization Construction Literacy. IEEE Trans. Vis. Comput. Graph. Patrick Adelberger, Oleg Lesota, Klaus Eckelt, Markus Schedl, Marc Streit
2025	J	`jnl`	Introduction to the Special Issue on Trustworthy Recommender Systems. Trans. Recomm. Syst. Markus Schedl, Yashar Deldjoo, Pablo Castells, Emine Yilmaz
2025	A	`conf`	Investigating Carbon Footprint of Recommender Systems Beyond Training Time. RecSys Josef Schodl, Oleg Lesota, Antonela Tommasel, Markus Schedl
2025	J	`jnl`	Investigating Gender Bias in LLM-Generated Stories via Psychological Stereotypes. CoRR Shahed Masoudian, Gustavo Escobedo, Hannah Strauß, Markus Schedl
2025	—	`conf`	Investigating Music Track Liking in the Halo of Album Covers. ISMIR Oleg Lesota, Anna Hausberger, Ivanna Pshenychna, Oleksandr Shvydanenko, Olha Yehorova, Markus Schedl
2025	A	`conf`	Just Ask for Music (JAM): Multimodal and Personalized Natural Language Music Recommendation. RecSys Alessandro B. Melchiorre, Elena V. Epure, Shahed Masoudian, Gustavo Escobedo, Anna Hausberger, Manuel Moussallam, Markus Schedl
2025	J	`jnl`	Just Ask for Music (JAM): Multimodal and Personalized Natural Language Music Recommendation. CoRR Alessandro B. Melchiorre, Elena V. Epure, Shahed Masoudian, Gustavo Escobedo, Anna Hausberger, Manuel Moussallam, Markus Schedl
2025	J	`jnl`	Linking Faces and Voices Across Languages: Insights from the FAME 2026 Challenge. CoRR Marta Moscati, Ahmed Abdullah, Muhammad Saad Saeed, Shah Nawaz, Rohan Kumar Das, Muhammad Zaigham Zaheer, Junaid Mir, Muhammad Haroon Yousaf, Khalid Mahmood Malik, Markus Schedl
2025	A	`conf`	Mitigating Latent User Biases in Pre-trained VAE Recommendation Models via On-demand Input Space Transformation. RecSys David Penz, Gustavo Junior Escobedo Ticona, Markus Schedl
2025	J	`jnl`	Music Recommendation with Large Language Models: Challenges, Opportunities, and Evaluation. CoRR Elena V. Epure, Yashar Deldjoo, Bruno Sguerra, Markus Schedl, Manuel Moussallam
2025	C	`conf`	Music4All A+A: A Multimodal Dataset for Music Information Retrieval Tasks. CBMI Jonas Geiger, Marta Moscati, Shah Nawaz, Markus Schedl
2025	J	`jnl`	Music4All A+A: A Multimodal Dataset for Music Information Retrieval Tasks. CoRR Jonas Geiger, Marta Moscati, Shah Nawaz, Markus Schedl
2025	J	`jnl`	Nuanced Music Emotion Recognition via a Semi-Supervised Multi-Relational Graph Neural Network. Trans. Int. Soc. Music. Inf. Retr. Andreas Peintner, Marta Moscati, Yu Kinoshita, Richard Vogl, Peter Knees, Markus Schedl, Hannah Strauß, Marcel Zentner, Eva Zangerle
2025	A	`conf`	PAEFF: Precise Alignment and Enhanced Gated Feature Fusion for Face-Voice Association. INTERSPEECH Abdul Hannan, Muhammad Arslan Manzoor, Shah Nawaz, Muhammad Irzam Liaqat, Markus Schedl, Mubashir Noman
2025	J	`jnl`	PAEFF: Precise Alignment and Enhanced Gated Feature Fusion for Face-Voice Association. CoRR Abdul Hannan, Muhammad Arslan Manzoor, Shah Nawaz, Muhammad Irzam Liaqat, Markus Schedl, Mubashir Noman
2025	A	`conf`	Parameter-Efficient Single Collaborative Branch for Recommendation. RecSys Marta Moscati, Shah Nawaz, Markus Schedl
2025	J	`jnl`	Parameter-Efficient Single Collaborative Branch for Recommendation. CoRR Marta Moscati, Shah Nawaz, Markus Schedl
2025	A	`ed.`	Proceedings of the Nineteenth ACM Conference on Recommender Systems, RecSys 2025, Prague, Czech Republic, September 22-26, 2025 RecSys Mária Bieliková, Pavel Kordík, Markus Schedl, Marco de Gemmis, Sole Pera, Rodrigo Alves, Olivier Jeunen, Vito Ostuni
2025	A*	`conf`	Psychological Aspects in Retrieval and Recommendation. SIGIR Markus Schedl, Elisabeth Lex, Marko Tkalcic
2025	J	`jnl`	RobustA: Robust Anomaly Detection in Multimodal Data. CoRR Salem AlMarri, Muhammad Irzam Liaqat, Muhammad Zaigham Zaheer, Shah Nawaz, Karthik Nandakumar, Markus Schedl
2025	J	`jnl`	Single-Branch Network Architectures to Close the Modality Gap in Multimodal Recommendation. CoRR Christian Ganhör, Marta Moscati, Anna Hausberger, Shah Nawaz, Markus Schedl
2025	J	`jnl`	The impact of playlist characteristics on coherence in user-curated music playlists. EPJ Data Sci. Harald Victor Schweiger, Emilia Parada-Cabaleiro, Markus Schedl
2025	J	`jnl`	Towards Fair ASR For Second Language Speakers Using Fairness Prompted Finetuning. CoRR Monorama Swain, Bubai Maji, Jagabandhu Mishra, Markus Schedl, Anders Søgaard, Jesper Rindom Jensen
2025	J	`jnl`	Unsupervised Graph Embeddings for Session-based Recommendation with Item Features. CoRR Andreas Peintner, Marta Moscati, Emilia Parada-Cabaleiro, Markus Schedl, Eva Zangerle
2025	A	`conf`	Why Context Matters: Exploring How Musical Context Impacts User Behavior, Mood, and Musical Preferences. UMAP Anna Hausberger, Emilia Parada-Cabaleiro, Markus Schedl
2024	A	`conf`	A Multimodal Single-Branch Embedding Network for Recommendation in Cold-Start and Missing Modality Scenarios. RecSys Christian Ganhör, Marta Moscati, Anna Hausberger, Shah Nawaz, Markus Schedl
2024	J	`jnl`	A Multimodal Single-Branch Embedding Network for Recommendation in Cold-Start and Missing Modality Scenarios. CoRR Christian Ganhör, Marta Moscati, Anna Hausberger, Shah Nawaz, Markus Schedl
2024	A*	`conf`	A Synopsis of FAME 2024 Challenge: Associating Faces with Voices in Multilingual Environments. ACM Multimedia Muhammad Saad Saeed, Shah Nawaz, Marta Moscati, Rohan Kumar Das, Muhammad Salman Tahir, Muhammad Zaigham Zaheer, Muhammad Irzam Liaqat, Muhammad Haris Khan, Karthik Nandakumar, Muhammad Haroon Yousaf, Markus Schedl
2024	J	`jnl`	Chameleon: Images Are What You Need For Multimodal Learning Robust To Missing Modalities. CoRR Muhammad Irzam Liaqat, Shah Nawaz, Muhammad Zaigham Zaheer, Muhammad Saad Saeed, Hassan Sajjad, Tom De Schepper, Karthik Nandakumar, Muhammad Haris Khan, Markus Schedl
2024	J	`jnl`	Content-driven music recommendation: Evolution, state of the art, and challenges. Comput. Sci. Rev. Yashar Deldjoo, Markus Schedl, Peter Knees
2024	J	`jnl`	Differential privacy in collaborative filtering recommender systems: a review. Frontiers Big Data Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald
2024	—	`conf`	Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters. EACL (1) Shahed Masoudian, Cornelia Volaucnik, Markus Schedl, Navid Rekabsaz
2024	J	`jnl`	Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters. CoRR Shahed Masoudian, Cornelia Volaucnik, Markus Schedl, Navid Rekabsaz
2024	A	`conf`	Emotion-Based Music Recommendation from Quality Annotations and Large-Scale User-Generated Tags. UMAP Marta Moscati, Hannah Strauß, Peer-Ole Jacobsen, Andreas Peintner, Eva Zangerle, Marcel Zentner, Markus Schedl
2024	J	`jnl`	Face-voice Association in Multilingual Environments (FAME) Challenge 2024 Evaluation Plan. CoRR Muhammad Saad Saeed, Shah Nawaz, Muhammad Salman Tahir, Rohan Kumar Das, Muhammad Zaigham Zaheer, Marta Moscati, Markus Schedl, Muhammad Haris Khan, Karthik Nandakumar, Muhammad Haroon Yousaf
2024	J	`jnl`	Fairness of recommender systems in the recruitment domain: an analysis from technical and legal perspectives. Frontiers Big Data Deepak Kumar, Tessa Grosz, Navid Rekabsaz, Elisabeth Greif, Markus Schedl
2024	—	`conf`	Making Alice Appear Like Bob: A Probabilistic Preference Obfuscation Method For Implicit Feedback Recommendation Models. ECML/PKDD (7) Gustavo Escobedo, Marta Moscati, Peter Muellner, Simone Kopeinik, Dominik Kowald, Elisabeth Lex, Markus Schedl
2024	J	`jnl`	Making Alice Appear Like Bob: A Probabilistic Preference Obfuscation Method For Implicit Feedback Recommendation Models. CoRR Gustavo Escobedo, Marta Moscati, Peter Muellner, Simone Kopeinik, Dominik Kowald, Elisabeth Lex, Markus Schedl
2024	—	`conf`	Measuring Bias in Search Results Through Retrieval List Comparison. ECIR (5) Linda Ratz, Markus Schedl, Simone Kopeinik, Navid Rekabsaz
2024	J	`jnl`	Modality Invariant Multimodal Learning to Handle Missing Modalities: A Single-Branch Approach. CoRR Muhammad Saad Saeed, Shah Nawaz, Muhammad Zaigham Zaheer, Muhammad Haris Khan, Karthik Nandakumar, Muhammad Haroon Yousaf, Hassan Sajjad, Tom De Schepper, Markus Schedl
2024	—	`conf`	Modular Debiasing of Latent User Representations in Prototype-Based Recommender Systems. ECML/PKDD (1) Alessandro B. Melchiorre, Shahed Masoudian, Deepak Kumar, Markus Schedl
2024	A	`conf`	Oh, Behave! Country Representation Dynamics Created by Feedback Loops in Music Recommender Systems. RecSys Oleg Lesota, Jonas Geiger, Max Walder, Dominik Kowald, Markus Schedl
2024	J	`jnl`	Oh, Behave! Country Representation Dynamics Created by Feedback Loops in Music Recommender Systems. CoRR Oleg Lesota, Jonas Geiger, Max Walder, Dominik Kowald, Markus Schedl
2024	A	`conf`	Psychology-informed Information Access Systems Workshop. WSDM Markus Schedl, Marta Moscati, Bruno Sguerra, Romain Hennequin, Elisabeth Lex
2024	A*	`conf`	Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation. EMNLP Markus Frohmann, Igor Sterner, Ivan Vulic, Benjamin Minixhofer, Markus Schedl
2024	J	`jnl`	Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation. CoRR Markus Frohmann, Igor Sterner, Ivan Vulic, Benjamin Minixhofer, Markus Schedl
2024	—	`conf`	Simultaneous Unlearning of Multiple Protected User Attributes From Variational Autoencoder Recommenders Using Adversarial Training. BIAS Gustavo Escobedo, Christian Ganhör, Stefan Brandl, Mirjam Augstein, Markus Schedl
2024	J	`jnl`	Simultaneous Unlearning of Multiple Protected User Attributes From Variational Autoencoder Recommenders Using Adversarial Training. CoRR Gustavo Escobedo, Christian Ganhör, Stefan Brandl, Mirjam Augstein, Markus Schedl
2024	—	`conf`	The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias. ECIR (4) Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald
2024	J	`jnl`	The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias. CoRR Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald
2024	J	`jnl`	The Importance of Cognitive Biases in the Recommendation Ecosystem. CoRR Markus Schedl, Oleg Lesota, Stefan Brandl, Mohammad Lotfi, Gustavo Junior Escobedo Ticona, Shahed Masoudian
2024	—	`conf`	The Importance of Cognitive Biases in the Recommendation Ecosystem: Evidence of Feature-Positive Effect, Ikea Effect, and Cultural Homophily. IntRS@RecSys Markus Schedl, Oleg Lesota, Shahed Masoudian
2024	—	`conf`	Trustworthy User Modeling and Recommendation From Technical and Regulatory Perspectives. UMAP (Adjunct Publication) Markus Schedl, Vito Walter Anelli, Elisabeth Lex
2024	A*	`conf`	Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization. EMNLP Shahed Masoudian, Markus Frohmann, Navid Rekabsaz, Markus Schedl
2024	J	`jnl`	Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization. CoRR Shahed Masoudian, Markus Frohmann, Navid Rekabsaz, Markus Schedl
2023	—	`conf`	A Study on Accuracy, Miscalibration, and Popularity Bias in Recommendations. BIAS Dominik Kowald, Gregor Mayr, Markus Schedl, Elisabeth Lex
2023	J	`jnl`	A Study on Accuracy, Miscalibration, and Popularity Bias in Recommendations. CoRR Dominik Kowald, Gregor Mayr, Markus Schedl, Elisabeth Lex
2023	A*	`conf`	Computational Versus Perceived Popularity Miscalibration in Recommender Systems. SIGIR Oleg Lesota, Gustavo Escobedo, Yashar Deldjoo, Bruce Ferwerda, Simone Kopeinik, Elisabeth Lex, Navid Rekabsaz, Markus Schedl
2023	—	`conf`	Domain Information Control at Inference Time for Acoustic Scene Classification. EUSIPCO Shahed Masoudian, Khaled Koutini, Markus Schedl, Gerhard Widmer, Navid Rekabsaz
2023	J	`jnl`	Domain Information Control at Inference Time for Acoustic Scene Classification. CoRR Shahed Masoudian, Khaled Koutini, Markus Schedl, Gerhard Widmer, Navid Rekabsaz
2023	J	`jnl`	Emotion-aware music tower blocks (EmoMTB ): an intelligent audiovisual interface for music discovery and recommendation. Int. J. Multim. Inf. Retr. Alessandro B. Melchiorre, David Penz, Christian Ganhör, Oleg Lesota, Vasco Fragoso, Florian Fritzl, Emilia Parada-Cabaleiro, Franz Schubert, Markus Schedl
2023	C	`conf`	Exploring Intensities of Hate Speech on Social Media: A Case Study on Explaining Multilingual Models with XAI. LDK Raisa Romanov Geleta, Klaus Eckelt, Emilia Parada-Cabaleiro, Markus Schedl
2023	B	`conf`	Grep-BiasIR: A Dataset for Investigating Gender Representation Bias in Information Retrieval Results. CHIIR Klara Krieg, Emilia Parada-Cabaleiro, Gertraud Medicus, Oleg Lesota, Markus Schedl, Navid Rekabsaz
2023	B	`conf`	I Don't Care How Popular You Are! Investigating Popularity Bias in Music Recommendations from a User's Perspective. CHIIR Bruce Ferwerda, Eveline Ingesson, Michaela Berndl, Markus Schedl
2023	—	`conf`	Identifying Words in Job Advertisements Responsible for Gender Bias in Candidate Ranking Systems via Counterfactual Learning. HR@RecSys Deepak Kumar, Tessa Grosz, Elisabeth Greif, Navid Rekabsaz, Markus Schedl
2023	A	`conf`	Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation. RecSys Marta Moscati, Christian Wallmann, Markus Reiter-Haas, Dominik Kowald, Elisabeth Lex, Markus Schedl
2023	J	`jnl`	Introduction to the ICWE 2022 Special Issue. J. Web Eng. Tommaso Di Noia, In-Young Ko, Markus Schedl
2023	—	`conf`	Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks. ACL (Findings) Lukas Hauzenberger, Shahed Masoudian, Deepak Kumar, Markus Schedl, Navid Rekabsaz
2023	—	`conf`	Multiobjective Hyperparameter Optimization of Recommender Systems. Perspectives@RecSys Marta Moscati, Yashar Deldjoo, Giulio Davide Carparelli, Markus Schedl
2023	A	`conf`	Parameter-efficient Modularised Bias Mitigation via AdapterFusion. EACL Deepak Kumar, Oleg Lesota, George Zerveas, Daniel Cohen, Carsten Eickhoff, Markus Schedl, Navid Rekabsaz
2023	J	`jnl`	Parameter-efficient Modularised Bias Mitigation via AdapterFusion. CoRR Deepak Kumar, Oleg Lesota, George Zerveas, Daniel Cohen, Carsten Eickhoff, Markus Schedl, Navid Rekabsaz
2023	J	`jnl`	Predicting the Price of Bitcoin Using Sentiment-Enriched Time Series Forecasting. Big Data Cogn. Comput. Markus Frohmann, Manuel Karner, Said Khudoyan, Robert Wagner, Markus Schedl
2023	J	`jnl`	ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations. ACM Trans. Intell. Syst. Technol. Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald
2023	A*	`conf`	Show me a "Male Nurse"! How Gender Bias is Reflected in the Query Formulation of Search Engine Users. CHI Simone Kopeinik, Martina Mara, Linda Ratz, Klara Krieg, Markus Schedl, Navid Rekabsaz
2023	A	`conf`	Travel Bird: A Personalized Destination Recommender with TourBERT and Airbnb Experiences. WSDM Veronika Arefieva, Roman Egger, Michael Schrefl, Markus Schedl
2023	A	`conf`	Trustworthy Algorithmic Ranking Systems. WSDM Markus Schedl, Emilia Gómez, Elisabeth Lex
2023	A	`conf`	Trustworthy Recommender Systems: Technical, Ethical, Legal, and Regulatory Perspectives. RecSys Markus Schedl, Vito Walter Anelli, Elisabeth Lex
2022	—	`conf`	Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) 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	J	`jnl`	Affect in Multimedia: Benchmarking Violent Scenes Detection. IEEE Trans. Affect. Comput. Mihai Gabriel Constantin, Liviu-Daniel Stefan, Bogdan Ionescu, Claire-Hélène Demarty, Mats Sjöberg, Markus Schedl, Guillaume Gravier
2022	—	`conf`	Do Perceived Gender Biases in Retrieval Results Affect Relevance Judgements? BIAS Klara Krieg, Emilia Parada-Cabaleiro, Markus Schedl, Navid Rekabsaz
2022	J	`jnl`	Do Perceived Gender Biases in Retrieval Results Affect Relevance Judgements? CoRR Klara Krieg, Emilia Parada-Cabaleiro, Markus Schedl, Navid Rekabsaz
2022	B	`conf`	EmoMTB: Emotion-aware Music Tower Blocks. ICMR Alessandro B. Melchiorre, David Penz, Christian Ganhör, Oleg Lesota, Vasco Fragoso, Florian Friztl, Emilia Parada-Cabaleiro, Franz Schubert, Markus Schedl
2022	J	`jnl`	Explainability in Music Recommender Systems. AI Mag. Darius Afchar, Alessandro B. Melchiorre, Markus Schedl, Romain Hennequin, Elena V. Epure, Manuel Moussallam
2022	J	`jnl`	Explainability in Music Recommender Systems. CoRR Darius Afchar, Alessandro B. Melchiorre, Markus Schedl, Romain Hennequin, Elena V. Epure, Manuel Moussallam
2022	—	`conf`	Exploring Cross-group Discrepancies in Calibrated Popularity for Accuracy/Fairness Trade-off Optimization. MORS@RecSys Oleg Lesota, Stefan Brandl, Matthias Wenzel, Alessandro B. Melchiorre, Elisabeth Lex, Navid Rekabsaz, Markus Schedl
2022	J	`jnl`	Grep-BiasIR: A Dataset for Investigating Gender Representation-Bias in Information Retrieval Results. CoRR Klara Krieg, Emilia Parada-Cabaleiro, Gertraud Medicus, Oleg Lesota, Markus Schedl, Navid Rekabsaz
2022	B	`conf`	LFM-2b: A Dataset of Enriched Music Listening Events for Recommender Systems Research and Fairness Analysis. CHIIR Markus Schedl, Stefan Brandl, Oleg Lesota, Emilia Parada-Cabaleiro, David Penz, Navid Rekabsaz
2022	—	`ch.`	Multimedia Recommender Systems: Algorithms and Challenges. Recommender Systems Handbook Yashar Deldjoo, Markus Schedl, Balázs Hidasi, Yinwei Wei, Xiangnan He
2022	—	`conf`	Multiperspective and Multidisciplinary Treatment of Fairness in Recommender Systems Research. UMAP (Adjunct Publication) Markus Schedl, Navid Rekabsaz, Elisabeth Lex, Tessa Grosz, Elisabeth Greif
2022	—	`ch.`	Music Recommendation Systems: Techniques, Use Cases, and Challenges. Recommender Systems Handbook Markus Schedl, Peter Knees, Brian McFee, Dmitry Bogdanov
2022	A	`conf`	Music4All-Onion - A Large-Scale Multi-faceted Content-Centric Music Recommendation Dataset. CIKM Marta Moscati, Emilia Parada-Cabaleiro, Yashar Deldjoo, Eva Zangerle, Markus Schedl
2022	A	`conf`	ProtoMF: Prototype-based Matrix Factorization for Effective and Explainable Recommendations. RecSys Alessandro B. Melchiorre, Navid Rekabsaz, Christian Ganhör, Markus Schedl
2022	A	`conf`	Psychology-informed Recommender Systems Tutorial. RecSys Elisabeth Lex, Markus Schedl
2022	B	`conf`	Psychology-informed Recommender Systems: A Human-Centric Perspective on Recommender Systems. CHIIR Elisabeth Lex, Markus Schedl
2022	J	`jnl`	Recommender systems under European AI regulations. Commun. ACM Tommaso Di Noia, Nava Tintarev, Panagiota Fatourou, Markus Schedl
2022	A*	`conf`	Retrieval and Recommendation Systems at the Crossroads of Artificial Intelligence, Ethics, and Regulation. SIGIR Markus Schedl, Emilia Gómez, Elisabeth Lex
2022	J	`jnl`	ReuseKNN: Neighborhood Reuse for Privacy-Aware Recommendations. CoRR Peter Müllner, Markus Schedl, Elisabeth Lex, Dominik Kowald
2022	—	`conf`	Traces of Globalization in Online Music Consumption Patterns and Results of Recommendation Algorithms. ISMIR Oleg Lesota, Emilia Parada-Cabaleiro, Stefan Brandl, Elisabeth Lex, Navid Rekabsaz, Markus Schedl
2022	A*	`conf`	Unlearning Protected User Attributes in Recommendations with Adversarial Training. SIGIR Christian Ganhör, David Penz, Navid Rekabsaz, Oleg Lesota, Markus Schedl
2022	J	`jnl`	Unlearning Protected User Attributes in Recommendations with Adversarial Training. CoRR Christian Ganhör, David Penz, Navid Rekabsaz, Oleg Lesota, Markus Schedl
2022	—	`conf`	Verse versus Chorus: Structure-aware Feature Extraction for Lyrics-based Genre Recognition. ISMIR Maximilian Mayerl, Stefan Brandl, Günther Specht, Markus Schedl, Eva Zangerle
2022	B	`ed.`	Web Engineering - 22nd International Conference, ICWE 2022, Bari, Italy, July 5-8, 2022, Proceedings ICWE Tommaso Di Noia, In-Young Ko, Markus Schedl, Carmelo Ardito
2021	Misc	`conf`	A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models. ICTIR Oleg Lesota, Navid Rekabsaz, Daniel Cohen, Klaus Antonius Grasserbauer, Carsten Eickhoff, Markus Schedl
2021	J	`jnl`	A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models. CoRR Oleg Lesota, Navid Rekabsaz, Daniel Cohen, Klaus Antonius Grasserbauer, Carsten Eickhoff, Markus Schedl
2021	A	`conf`	Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected? RecSys Oleg Lesota, Alessandro B. Melchiorre, Navid Rekabsaz, Stefan Brandl, Dominik Kowald, Elisabeth Lex, Markus Schedl
2021	J	`jnl`	Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected? CoRR Oleg Lesota, Alessandro B. Melchiorre, Navid Rekabsaz, Stefan Brandl, Dominik Kowald, Elisabeth Lex, Markus Schedl
2021	—	`conf`	Automatic Recognition of Texture in Renaissance Music. ISMIR Emilia Parada-Cabaleiro, Maximilian Schmitt, Anton Batliner, Björn W. Schuller, Markus Schedl
2021	J	`jnl`	Content-driven Music Recommendation: Evolution, State of the Art, and Challenges. CoRR Yashar Deldjoo, Markus Schedl, Peter Knees
2021	—	`conf`	Cross-city Analysis of Location-based Sentiment in User-generated Text. WWW (Companion Volume) Christopher Stelzmüller, Sebastian Tanzer, Markus Schedl
2021	A*	`conf`	Current Challenges and Future Directions in Podcast Information Access. SIGIR 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	J	`jnl`	Current Challenges and Future Directions in Podcast Information Access. CoRR 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	—	`conf`	Does Track Sequence in User-generated Playlists Matter?. ISMIR Harald Victor Schweiger, Emilia Parada-Cabaleiro, Markus Schedl
2021	J	`jnl`	Investigating gender fairness of recommendation algorithms in the music domain. Inf. Process. Manag. Alessandro B. Melchiorre, Navid Rekabsaz, Emilia Parada-Cabaleiro, Stefan Brandl, Oleg Lesota, Markus Schedl
2021	—	`conf`	LEMONS: Listenable Explanations for Music recOmmeNder Systems. ECIR (2) Alessandro B. Melchiorre, Verena Haunschmid, Markus Schedl, Gerhard Widmer
2021	B	`conf`	My friends also prefer diverse music: homophily and link prediction with user preferences for mainstream, novelty, and diversity in music. ASONAM Tomislav Duricic, Dominik Kowald, Markus Schedl, Elisabeth Lex
2021	J	`jnl`	My friends also prefer diverse music: homophily and link prediction with user preferences for mainstream, novelty, and diversity in music. CoRR Tomislav Duricic, Dominik Kowald, Markus Schedl, Elisabeth Lex
2021	A	`conf`	Predicting Music Relistening Behavior Using the ACT-R Framework. RecSys Markus Reiter-Haas, Emilia Parada-Cabaleiro, Markus Schedl, Elham Motamedi, Marko Tkalcic, Elisabeth Lex
2021	J	`jnl`	Predicting Music Relistening Behavior Using the ACT-R Framework. CoRR Markus Reiter-Haas, Emilia Parada-Cabaleiro, Markus Schedl, Elham Motamedi, Marko Tkalcic, Elisabeth Lex
2021	J	`jnl`	Psychology-informed Recommender Systems. Found. Trends Inf. Retr. Elisabeth Lex, Dominik Kowald, Paul Seitlinger, Thi Ngoc Trang Tran, Alexander Felfernig, Markus Schedl
2021	J	`jnl`	Recommender Systems Leveraging Multimedia Content. ACM Comput. Surv. Yashar Deldjoo, Markus Schedl, Paolo Cremonesi, Gabriella Pasi
2021	J	`jnl`	Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation for BERT Rankers. CoRR Navid Rekabsaz, Simone Kopeinik, Markus Schedl
2021	A*	`conf`	Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation of BERT Rankers. SIGIR Navid Rekabsaz, Simone Kopeinik, Markus Schedl
2021	J	`jnl`	Support the Underground: Characteristics of Beyond-Mainstream Music Listeners. CoRR Dominik Kowald, Peter Müllner, Eva Zangerle, Christine Bauer, Markus Schedl, Elisabeth Lex
2021	J	`jnl`	Support the underground: characteristics of beyond-mainstream music listeners. EPJ Data Sci. Dominik Kowald, Peter Müllner, Eva Zangerle, Christine Bauer, Markus Schedl, Elisabeth Lex
2021	—	`conf`	Team JKU-AIWarriors in the ACM Recommender Systems Challenge 2021: Lightweight XGBoost Recommendation Approach Leveraging User Features. RecSys Challenge Alexander Krauck, David Penz, Markus Schedl
2021	A*	`conf`	TripClick: The Log Files of a Large Health Web Search Engine. SIGIR Navid Rekabsaz, Oleg Lesota, Markus Schedl, Jon Brassey, Carsten Eickhoff
2021	J	`jnl`	TripClick: The Log Files of a Large Health Web Search Engine. CoRR Navid Rekabsaz, Oleg Lesota, Markus Schedl, Jon Brassey, Carsten Eickhoff
2020	A*	`conf`	Do Neural Ranking Models Intensify Gender Bias? SIGIR Navid Rekabsaz, Markus Schedl
2020	J	`jnl`	Do Neural Ranking Models Intensify Gender Bias? CoRR Navid Rekabsaz, Markus Schedl
2020	J	`jnl`	Intelligent User Interfaces for Music Discovery. Trans. Int. Soc. Music. Inf. Retr. Peter Knees, Markus Schedl, Masataka Goto
2020	J	`jnl`	Listener Modeling and Context-Aware Music Recommendation Based on Country Archetypes. Frontiers Artif. Intell. Markus Schedl, Christine Bauer, Wolfgang Reisinger, Dominik Kowald, Elisabeth Lex
2020	J	`jnl`	Listener Modeling and Context-aware Music Recommendation Based on Country Archetypes. CoRR Markus Schedl, Christine Bauer, Wolfgang Reisinger, Dominik Kowald, Elisabeth Lex
2020	J	`jnl`	Modeling Popularity and Temporal Drift of Music Genre Preferences. Trans. Int. Soc. Music. Inf. Retr. Elisabeth Lex, Dominik Kowald, Markus Schedl
2020	B	`conf`	Music Tower Blocks: Multi-Faceted Exploration Interface for Web-Scale Music Access. ICMR Markus Schedl, Michael Mayr, Peter Knees
2020	—	`conf`	Pandemics, music, and collective sentiment: evidence from the outbreak of COVID-19. ISMIR Meijun Liu, Eva Zangerle, Xiao Hu, Alessandro B. Melchiorre, Markus Schedl
2020	A	`conf`	Personality Bias of Music Recommendation Algorithms. RecSys Alessandro B. Melchiorre, Eva Zangerle, Markus Schedl
2020	A	`conf`	Personality Correlates of Music Audio Preferences for Modelling Music Listeners. UMAP Alessandro B. Melchiorre, Markus Schedl
2020	J	`jnl`	Preface to the Special Issue on user modeling for personalized interaction with music. User Model. User Adapt. Interact. Marko Tkalcic, Markus Schedl, Peter Knees
2020	—	`ed.`	Proceedings of the 21th International Society for Music Information Retrieval Conference, ISMIR 2020, Montreal, Canada, October 11-16, 2020 ISMIR Julie Cumming, Jin Ha Lee, Brian McFee, Markus Schedl, Johanna Devaney, Cory McKay, Eva Zangerle, Timothy de Reuse
2020	—	`conf`	The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study. ECIR (2) Dominik Kowald, Markus Schedl, Elisabeth Lex
2020	—	`conf`	User Insights on Diversity in Music Recommendation Lists. ISMIR Kyle Robinson, Dan Brown, Markus Schedl
2020	J	`jnl`	User Models for Culture-Aware Music Recommendation: Fusing Acoustic and Cultural Cues. Trans. Int. Soc. Music. Inf. Retr. Eva Zangerle, Martin Pichl, Markus Schedl
2020	J	`jnl`	Utilizing Human Memory Processes to Model Genre Preferences for Personalized Music Recommendations. CoRR Dominik Kowald, Elisabeth Lex, Markus Schedl
2019	—	`conf`	A Cross-Country Investigation of User Connection Patterns in Online Social Networks. HICSS Christine Bauer, Markus Schedl
2019	—	`conf`	A Regression Approach to Movie Rating Prediction Using Multimedia Content and Metadata. MediaEval Hossein A. Rahmani, Yashar Deldjoo, Markus Schedl
2019	J	`jnl`	An Analysis of Approaches Taken in the ACM RecSys Challenge 2018 for Automatic Music Playlist Continuation. ACM Trans. Intell. Syst. Technol. Hamed Zamani, Markus Schedl, Paul Lamere, Ching-Wei Chen
2019	—	`conf`	Cross-country User Connections in an Online Social Network for Music. CHI Extended Abstracts Christine Bauer, Markus Schedl
2019	J	`jnl`	Deep Learning in Music Recommendation Systems. Frontiers Appl. Math. Stat. Markus Schedl
2019	J	`jnl`	Feature-combination hybrid recommender systems for automated music playlist continuation. User Model. User Adapt. Interact. Andreu Vall, Matthias Dorfer, Hamid Eghbal-zadeh, Markus Schedl, Keki Burjorjee, Gerhard Widmer
2019	A*	`conf`	Genre Differences of Song Lyrics and Artist Wikis: An Analysis of Popularity, Length, Repetitiveness, and Readability. WWW Markus Schedl
2019	J	`jnl`	Global and country-specific mainstreaminess measures: Definitions, analysis, and usage for improving personalized music recommendation systems. CoRR Christine Bauer, Markus Schedl
2019	—	`conf`	Intelligent User Interfaces for Music Discovery: The Past 20 Years and What's to Come. ISMIR Peter Knees, Markus Schedl, Masataka Goto
2019	—	`conf`	Intelligent music interfaces for listening and creation. IUI Companion Peter Knees, Markus Schedl, Rebecca Fiebrink
2019	J	`jnl`	Modeling Artist Preferences of Users with Different Music Consumption Patterns for Fair Music Recommendations. CoRR Dominik Kowald, Elisabeth Lex, Markus Schedl
2019	C	`conf`	Movie Genome Recommender: A Novel Recommender System Based on Multimedia Content. CBMI Yashar Deldjoo, Markus Schedl, Mehdi Elahi
2019	J	`jnl`	Movie genome: alleviating new item cold start in movie recommendation. User Model. User Adapt. Interact. Yashar Deldjoo, Maurizio Ferrari Dacrema, Mihai Gabriel Constantin, Hamid Eghbal-zadeh, Stefano Cereda, Markus Schedl, Bogdan Ionescu, Paolo Cremonesi
2019	J	`jnl`	Online Music Listening Culture of Kids and Adolescents: Listening Analysis and Music Recommendation Tailored to the Young. CoRR Markus Schedl, Christine Bauer
2019	J	`jnl`	Order, context and popularity bias in next-song recommendations. Int. J. Multim. Inf. Retr. Andreu Vall, Massimo Quadrana, Markus Schedl, Gerhard Widmer
2019	J	`jnl`	Personality and taxonomy preferences, and the influence of category choice on the user experience for music streaming services. Multim. Tools Appl. Bruce Ferwerda, Emily Yang, Markus Schedl, Marko Tkalcic
2019	J	`jnl`	Predicting user demographics from music listening information. Multim. Tools Appl. Thomas Krismayer, Markus Schedl, Peter Knees, Rick Rabiser
2019	C	`conf`	Retrieving Relevant and Diverse Movie Clips Using the MFVCD-7K Multifaceted Video Clip Dataset. CBMI Yashar Deldjoo, Markus Schedl
2019	A*	`conf`	Tastalyzer: Audiovisual Exploration of Urban and Rural Variations in Music Taste. ACM Multimedia Christine Bauer, Markus Schedl, Vera Angerer, Stefan Wegenkittl
2019	—	`conf`	The 2019 Multimedia for Recommender System Task: MovieREC and NewsREEL at MediaEval. MediaEval Yashar Deldjoo, Benny Kille, Markus Schedl, Andreas Lommatzsch, Jialie Shen
2019	J	`jnl`	The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study. CoRR Dominik Kowald, Markus Schedl, Elisabeth Lex
2019	—	`conf`	Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Features. IntRS@RecSys Luca Luciano Costanzo, Yashar Deldjoo, Maurizio Ferrari Dacrema, Markus Schedl, Paolo Cremonesi
2019	J	`jnl`	Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Features. CoRR Luca Luciano Costanzo, Yashar Deldjoo, Maurizio Ferrari Dacrema, Markus Schedl, Paolo Cremonesi
2018	J	`jnl`	A Hybrid Approach to Music Playlist Continuation Based on Playlist-Song Membership. CoRR Andreu Vall, Matthias Dorfer, Markus Schedl, Gerhard Widmer
2018	Misc	`conf`	A hybrid approach to music playlist continuation based on playlist-song membership. SAC Andreu Vall, Matthias Dorfer, Markus Schedl, Gerhard Widmer
2018	J	`jnl`	An Analysis of Approaches Taken in the ACM RecSys Challenge 2018 for Automatic Music Playlist Continuation. CoRR Hamed Zamani, Markus Schedl, Paul Lamere, Ching-Wei Chen
2018	J	`jnl`	An Analysis of Global and RegionalMainstreaminess for Personalized MusicRecommender Systems. J. Mobile Multimedia Markus Schedl, Christine Bauer
2018	A	`conf`	Audio-visual encoding of multimedia content for enhancing movie recommendations. RecSys Yashar Deldjoo, Mihai Gabriel Constantin, Hamid Eghbal-zadeh, Bogdan Ionescu, Markus Schedl, Paolo Cremonesi
2018	—	`conf`	Content-Based Multimedia Recommendation Systems: Definition and Application Domains. IIR Yashar Deldjoo, Markus Schedl, Paolo Cremonesi, Gabriella Pasi
2018	A	`conf`	Culture-Aware Music Recommendation. UMAP Eva Zangerle, Martin Pichl, Markus Schedl
2018	J	`jnl`	Current challenges and visions in music recommender systems research. Int. J. Multim. Inf. Retr. Markus Schedl, Hamed Zamani, Ching-Wei Chen, Yashar Deldjoo, Mehdi Elahi
2018	—	`conf`	Investigating Cross-Country Relationship between Users' Social Ties and Music Mainstreaminess. ISMIR Christine Bauer, Markus Schedl
2018	A	`conf`	MMTF-14K: a multifaceted movie trailer feature dataset for recommendation and retrieval. MMSys Yashar Deldjoo, Mihai Gabriel Constantin, Bogdan Ionescu, Markus Schedl, Paolo Cremonesi
2018	A	`conf`	Multimedia recommender systems. RecSys Yashar Deldjoo, Markus Schedl, Balázs Hidasi, Peter Knees
2018	—	`conf`	On the Importance of Considering Country-specific Aspects on the Online-Market: An Example of Music Recommendation Considering Country-Specific Mainstream. HICSS Christine Bauer, Markus Schedl
2018	J	`jnl`	On the Interrelation Between Listener Characteristics and the Perception of Emotions in Classical Orchestra Music. IEEE Trans. Affect. Comput. Markus Schedl, Emilia Gómez, Erika S. Trent, Marko Tkalcic, Hamid Eghbal-zadeh, Agustín Martorell
2018	A	`conf`	Recsys challenge 2018: automatic music playlist continuation. RecSys Ching-Wei Chen, Paul Lamere, Markus Schedl, Hamed Zamani
2018	B	`conf`	Regressing Controversy of Music Artists from Microblogs. ICTAI Mhd Mousa Hamad, Marcin Skowron, Markus Schedl
2018	—	`conf`	Rethinking Summarization and Storytelling for Modern Social Multimedia. MMM (1) Stevan Rudinac, Tat-Seng Chua, Nicolás E. Díaz Ferreyra, Gerald Friedland, Tatjana Gornostaja, Benoit Huet, Rianne Kaptein, Krister Lindén, Marie-Francine Moens, Jaakko Peltonen, Miriam Redi, Markus Schedl, David A. Shamma, Alan F. Smeaton, Lexing Xie
2018	—	`conf`	The Effects of Real-world Events on Music Listening Behavior: An Intervention Time Series Analysis. WWW (Companion Volume) Markus Schedl, Eelco Wiechert, Christine Bauer
2018	J	`jnl`	The Importance of Song Context and Song Order in Automated Music Playlist Generation. CoRR Andreu Vall, Massimo Quadrana, Markus Schedl, Gerhard Widmer
2018	—	`conf`	The MediaEval 2018 Movie Recommendation Task: Recommending Movies Using Content. MediaEval Yashar Deldjoo, Mihai Gabriel Constantin, Athanasios Dritsas, Bogdan Ionescu, Markus Schedl
2018	—	`conf`	geMsearch: Personalized Explorative Music Search. IUI Workshops Christian Esswein, Markus Schedl, Eva Zangerle
2017	—	`conf`	Artist Preferences and Cultural, Socio-Economic Distances Across Countries: A Big Data Perspective. ISMIR Meijun Liu, Xiao Hu, Markus Schedl
2017	J	`jnl`	Current Challenges and Visions in Music Recommender Systems Research. CoRR Markus Schedl, Hamed Zamani, Ching-Wei Chen, Yashar Deldjoo, Mehdi Elahi
2017	—	`conf`	Distance- and Rank-based Music Mainstreaminess Measurement. UMAP (Adjunct Publication) Markus Schedl, Christine Bauer
2017	Misc	`conf`	How item discovery enabled by diversity leads to increased recommendation list attractiveness. SAC Bruce Ferwerda, Mark P. Graus, Andreu Vall, Marko Tkalcic, Markus Schedl
2017	—	`conf`	IUI'17 Companion-Workshop Summary for HUMANIZE'17. IUI Companion Mark P. Graus, Bruce Ferwerda, Markus Schedl, Marko Tkalcic, Martijn C. Willemsen, Panagiotis Germanakos
2017	C	`conf`	Indicators of Country Similarity in Terms of Music Taste, Cultural, and Socio-economic Factors. ISM Markus Schedl, Florian Lemmerich, Bruce Ferwerda, Marcin Skowron, Peter Knees
2017	—	`conf`	Intelligent User Interfaces for Social Music Discovery and Exploration of Large-scale Music Repositories. HUMANIZE@IUI Markus Schedl
2017	C	`conf`	Introducing Global and Regional Mainstreaminess for Improving Personalized Music Recommendation. MoMM Markus Schedl, Christine Bauer
2017	—	`conf`	Introducing Surprise and Opposition by Design in Recommender Systems. UMAP (Adjunct Publication) Christine Bauer, Markus Schedl
2017	J	`jnl`	Introduction to Intelligent Music Systems and Applications. ACM Trans. Intell. Syst. Technol. Markus Schedl, Yi-Hsuan Yang, Perfecto Herrera-Boyer
2017	J	`jnl`	Investigating country-specific music preferences and music recommendation algorithms with the LFM-1b dataset. Int. J. Multim. Inf. Retr. Markus Schedl
2017	C	`conf`	Large-Scale Analysis of Group-Specific Music Genre Taste from Collaborative Tags. ISM Markus Schedl, Bruce Ferwerda
2017	—	`conf`	MediaEval 2017 AcousticBrainz Genre Task: Multilayer Perceptron Approach. MediaEval Khaled Koutini, Alina Imenina, Matthias Dorfer, Alexander Gruber, Markus Schedl
2017	C	`conf`	Mining Culture-Specific Music Listening Behavior from Social Media Data. ISM Martin Pichl, Eva Zangerle, Günther Specht, Markus Schedl
2017	—	`conf`	Music Genre Classification Revisited: An In-Depth Examination Guided by Music Experts. CMMR Haukur Pálmason, Björn Þór Jónsson, Markus Schedl, Peter Knees
2017	J	`jnl`	Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features. CoRR Andreu Vall, Hamid Eghbal-zadeh, Matthias Dorfer, Markus Schedl
2017	—	`conf`	Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features: Alleviating the Cold-Start Problem for Rare and Out-of-Set Songs. DLRS@RecSys Andreu Vall, Hamid Eghbal-zadeh, Matthias Dorfer, Markus Schedl, Gerhard Widmer
2017	A	`conf`	New Paths in Music Recommender Systems Research. RecSys Markus Schedl, Peter Knees, Fabien Gouyon
2017	B	`conf`	On Competitiveness of Nearest-Neighbor-Based Music Classification: A Methodological Critique. SISAP Haukur Pálmason, Björn Þór Jónsson, Laurent Amsaleg, Markus Schedl, Peter Knees
2017	—	`conf`	Personality Traits and Music Genre Preferences: How Music Taste Varies Over Age Groups. RecTemp@RecSys Bruce Ferwerda, Marko Tkalcic, Markus Schedl
2017	A	`conf`	Personality Traits and Music Genres: What Do People Prefer to Listen To? UMAP Bruce Ferwerda, Marko Tkalcic, Markus Schedl
2017	A	`conf`	Predicting Genre Preferences from Cultural and Socio-Economic Factors for Music Retrieval. ECIR Marcin Skowron, Florian Lemmerich, Bruce Ferwerda, Markus Schedl
2017	C	`conf`	Prediction of User Demographics from Music Listening Habits. CBMI Thomas Krismayer, Markus Schedl, Peter Knees, Rick Rabiser
2017	—	`ed.`	Proceedings of the 2017 ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces, HUMANIZE@IUI 2017, Limassol, Cyprus, March 13, 2017 HUMANIZE@IUI Mark P. Graus, Bruce Ferwerda, Markus Schedl, Marko Tkalcic, Martijn C. Willemsen, Panagiotis Germanakos
2017	—	`conf`	The Importance of Song Context in Music Playlists. RecSys Posters Andreu Vall, Massimo Quadrana, Markus Schedl, Gerhard Widmer, Paolo Cremonesi
2017	C	`conf`	The effect of different video summarization models on the quality of video recommendation based on low-level visual features. CBMI Yashar Deldjoo, Paolo Cremonesi, Markus Schedl, Massimo Quadrana
2016	C	`conf`	A dataset of multimedia material about classical music: PHENICX-SMM. CBMI Markus Schedl, David Hauger, Marko Tkalcic, Mark S. Melenhorst, Cynthia C. S. Liem
2016	A	`conf`	A personality-based adaptive system for visualizing classical music performances. MMSys Markus Schedl, Mark S. Melenhorst, Cynthia C. S. Liem, Agustín Martorell, Oscar Mayor, Marko Tkalcic
2016	—	`conf`	An Analysis of Agreement in Classical Music Perception and its Relationship to Listener Characteristics. ISMIR Markus Schedl, Hamid Eghbal-zadeh, Emilia Gómez, Marko Tkalcic
2016	A	`conf`	Exploring Music Diversity Needs Across Countries. UMAP Bruce Ferwerda, Andreu Vall, Marko Tkalcic, Markus Schedl
2016	—	`conf`	Fusing Social Media Cues: Personality Prediction from Twitter and Instagram. WWW (Companion Volume) Marcin Skowron, Marko Tkalcic, Bruce Ferwerda, Markus Schedl
2016	A	`conf`	Fusing Web and Audio Predictors to Localize the Origin of Music Pieces for Geospatial Retrieval. ECIR Markus Schedl, Fang Zhou
2016	—	`conf`	Investigating the Relationship Between Diversity in Music Consumption Behavior and Cultural Dimensions: A Cross-Country Analysis. UMAP (Extended Proceedings) Bruce Ferwerda, Markus Schedl
2016	—	`book`	Music Similarity and Retrieval - An Introduction to Audio- and Web-based Strategies Peter Knees, Markus Schedl
2016	C	`conf`	Music Tweet Map: A browsing interface to explore the microblogosphere of music. CBMI David Hauger, Markus Schedl
2016	—	`conf`	Personality Traits and the Relationship with (Non-) Disclosure Behavior on Facebook. WWW (Companion Volume) Bruce Ferwerda, Markus Schedl, Marko Tkalcic
2016	—	`conf`	Personality-Based User Modeling for Music Recommender Systems. ECML/PKDD (3) Bruce Ferwerda, Markus Schedl
2016	B	`conf`	Personalized Retrieval and Browsing of Classical Music and Supporting Multimedia Material. ICMR Marko Tkalcic, Markus Schedl, Cynthia C. S. Liem, Mark S. Melenhorst
2016	—	`conf`	The Influence of Users' Personality Traits on Satisfaction and Attractiveness of Diversified Recommendation Lists. EMPIRE@RecSys Bruce Ferwerda, Mark P. Graus, Andreu Vall, Marko Tkalcic, Markus Schedl
2016	B	`conf`	The LFM-1b Dataset for Music Retrieval and Recommendation. ICMR Markus Schedl
2016	—	`conf`	Using Instagram Picture Features to Predict Users' Personality. MMM (1) Bruce Ferwerda, Markus Schedl, Marko Tkalcic
2015	—	`conf`	I-Vectors for Timbre-Based Music Similarity and Music Artist Classification. ISMIR Hamid Eghbal-zadeh, Bernhard Lehner, Markus Schedl, Gerhard Widmer
2015	—	`conf`	Improving Music Recommendations with a Weighted Factorization of the Tagging Activity. ISMIR Andreu Vall, Marcin Skowron, Peter Knees, Markus Schedl
2015	—	`conf`	Iron Maiden While Jogging, Debussy for Dinner? - An Analysis of Music Listening Behavior in Context. MMM (2) Michael Gillhofer, Markus Schedl
2015	—	`conf`	JKU-Satellite at MediaEval 2015: An Intuitive Approach to Locate Single Pictures Within a Session. MediaEval Michael Mayr, Thomas Hintersteiner, Michael Weingartner, Florian Schröckeneder, Peter Knees, Markus Schedl
2015	—	`conf`	Listener-Aware Music Recommendation from Sensor and Social Media Data. ECML/PKDD (3) Markus Schedl
2015	—	`conf`	Listener-aware Music Search and Recommendation. MUSE@PKDD/ECML Markus Schedl
2015	—	`ch.`	Music Recommender Systems. Recommender Systems Handbook Markus Schedl, Peter Knees, Brian McFee, Dmitry Bogdanov, Marius Kaminskas
2015	A*	`conf`	Music Retrieval and Recommendation: A Tutorial Overview. SIGIR Peter Knees, Markus Schedl
2015	A	`conf`	On the Influence of User Characteristics on Music Recommendation Algorithms. ECIR Markus Schedl, David Hauger, Katayoun Farrahi, Marko Tkalcic
2015	—	`conf`	PHENICX: Innovating the classical music experience. ICME Workshops Cynthia C. S. Liem, Emilia Gómez, Markus Schedl
2015	—	`conf`	Personality & Emotional States: Understanding Users' Music Listening Needs. UMAP Workshops Bruce Ferwerda, Markus Schedl, Marko Tkalcic
2015	A	`conf`	Personality Correlates for Digital Concert Program Notes. UMAP Marko Tkalcic, Bruce Ferwerda, David Hauger, Markus Schedl
2015	—	`conf`	Personality Traits Predict Music Taxonomy Preferences. CHI Extended Abstracts Bruce Ferwerda, Emily Yang, Markus Schedl, Marko Tkalcic
2015	—	`conf`	Predicting Personality Traits with Instagram Pictures. EMPIRE@RecSys Bruce Ferwerda, Markus Schedl, Marko Tkalcic
2015	—	`conf`	RFA at MediaEval 2015 Affective Impact of Movies Task: A Multimodal Approach. MediaEval Ionut Mironica, Bogdan Ionescu, Mats Sjöberg, Markus Schedl, Marcin Skowron
2015	A*	`conf`	Tailoring Music Recommendations to Users by Considering Diversity, Mainstreaminess, and Novelty. SIGIR Markus Schedl, David Hauger
2015	—	`conf`	The MediaEval 2015 Affective Impact of Movies Task. MediaEval Mats Sjöberg, Yoann Baveye, Hanli Wang, Vu Lam Quang, Bogdan Ionescu, Emmanuel Dellandréa, Markus Schedl, Claire-Hélène Demarty, Liming Chen
2015	—	`conf`	Timbral modeling for music artist recognition using i-vectors. EUSIPCO Hamid Eghbal-zadeh, Markus Schedl, Gerhard Widmer
2015	—	`conf`	Towards Personalizing Classical Music Recommendations. ICDM Workshops Markus Schedl
2015	C	`conf`	VSD2014: A dataset for violent scenes detection in hollywood movies and web videos. CBMI Markus Schedl, Mats Sjöberg, Ionut Mironica, Bogdan Ionescu, Vu Lam Quang, Yu-Gang Jiang, Claire-Hélène Demarty
2014	C	`conf`	Benchmarking Violent Scenes Detection in movies. CBMI Claire-Hélène Demarty, Bogdan Ionescu, Yu-Gang Jiang, Vu Lam Quang, Markus Schedl, Cédric Penet
2014	—	`conf`	Enhancing Music Recommender Systems with Personality Information and Emotional States: A Proposal. UMAP Workshops Bruce Ferwerda, Markus Schedl
2014	—	`conf`	FAR at MediaEval 2014 Violent Scenes Detection: A Concept-based Fusion Approach. MediaEval Mats Sjöberg, Ionut Mironica, Markus Schedl, Bogdan Ionescu
2014	—	`conf`	Genre-based Analysis of Social Media Data on Music Listening Behavior: Are Fans of Classical Music Really Averse to Social Media? WISMM Markus Schedl, Marko Tkalcic
2014	J	`jnl`	Harvesting microblogs for contextual music similarity estimation: a co-occurrence-based framework. Multim. Syst. Markus Schedl, David Hauger, Julián Urbano
2014	—	`conf`	Impact of Listening Behavior on Music Recommendation. ISMIR Katayoun Farrahi, Markus Schedl, Andreu Vall, David Hauger, Marko Tkalcic
2014	—	`conf`	Location-Aware Music Artist Recommendation. MMM (2) Markus Schedl, Dominik Schnitzer
2014	—	`ch.`	Mining User Generated Data for Music Information Retrieval. Mining User Generated Content Markus Schedl, Mohamed Sordo, Noam Koenigstein, Udi Weinsberg
2014	B	`conf`	Mobile Music Genius: Reggae at the Beach, Metal on a Friday Night? ICMR Markus Schedl, Georg Breitschopf, Bogdan Ionescu
2014	J	`jnl`	Music Information Retrieval: Recent Developments and Applications. Found. Trends Inf. Retr. Markus Schedl, Emilia Gómez, Julián Urbano
2014	A*	`conf`	SoMeRA 2014: social media retrieval and analysis workshop. SIGIR Markus Schedl, Peter Knees, Jialie Shen
2014	—	`ed.`	SoMeRA'14, Proceedings of the First ACM International Workshop on Social Media Retrieval and Analysis, July 11, 2014, Gold Coast, Queensland, Australia SoMeRA@SIGIR Markus Schedl, Peter Knees, Jialie Shen
2014	—	`conf`	Social media and classical music?: a first analysis within the PHENICX project: "performances as highly enriched aNd interactive concert eXperiences". SoMeRA@SIGIR Markus Schedl
2014	—	`conf`	The MediaEval 2014 Affect Task: Violent Scenes Detection. MediaEval Mats Sjöberg, Bogdan Ionescu, Yu-Gang Jiang, Vu Lam Quang, Markus Schedl, Claire-Hélène Demarty
2014	A*	`conf`	User geospatial context for music recommendation in microblogs. SIGIR Markus Schedl, Andreu Vall, Katayoun Farrahi
2014	—	`conf`	Using Social Media Mining for Estimating Theory of Planned Behaviour Parameters. UMAP Workshops Marko Tkalcic, Bruce Ferwerda, Markus Schedl, Cynthia C. S. Liem, Mark S. Melenhorst, Ante Odic, Andrej Kosir
2014	—	`ed.`	Working Notes Proceedings of the MediaEval 2014 Workshop, Barcelona, Catalunya, Spain, October 16-17, 2014. MediaEval Martha A. Larson, Bogdan Ionescu, Xavier Anguera, Maria Eskevich, Pavel Korshunov, Markus Schedl, Mohammad Soleymani, Georgios Petkos, Richard F. E. Sutcliffe, Jaeyoung Choi, Gareth J. F. Jones
2013	B	`conf`	A naive mid-level concept-based fusion approach to violence detection in Hollywood movies. ICMR Bogdan Ionescu, Jan Schlüter, Ionut Mironica, Markus Schedl
2013	A	`conf`	A professionally annotated and enriched multimodal data set on popular music. MMSys Markus Schedl, Nicola Orio, Cynthia C. S. Liem, Geoffroy Peeters
2013	J	`jnl`	A survey of music similarity and recommendation from music context data. ACM Trans. Multim. Comput. Commun. Appl. Peter Knees, Markus Schedl
2013	C	`conf`	Ameliorating Music Recommendation: Integrating Music Content, Music Context, and User Context for Improved Music Retrieval and Recommendation. MoMM Markus Schedl
2013	J	`jnl`	Evaluation in Music Information Retrieval. J. Intell. Inf. Syst. Julián Urbano, Markus Schedl, Xavier Serra
2013	—	`ch.`	Exploiting Social Media for Music Information Retrieval. Social Media Retrieval Markus Schedl
2013	—	`conf`	FAR at MediaEval 2013 Violent Scenes Detection: Concept-based Violent Scenes Detection in Movies. MediaEval Mats Sjöberg, Jan Schlüter, Bogdan Ionescu, Markus Schedl
2013	J	`jnl`	Hybrid music information retrieval. Int. J. Multim. Inf. Retr. Peter Knees, Markus Schedl, Òscar Celma
2013	A*	`conf`	Hybrid retrieval approaches to geospatial music recommendation. SIGIR Markus Schedl, Dominik Schnitzer
2013	A	`conf`	Leveraging Microblogs for Spatiotemporal Music Information Retrieval. ECIR Markus Schedl
2013	A	`conf`	Location-aware music recommendation using auto-tagging and hybrid matching. RecSys Marius Kaminskas, Francesco Ricci, Markus Schedl
2013	J	`jnl`	Minimal test collections for low-cost evaluation of Audio Music Similarity and Retrieval systems. Int. J. Multim. Inf. Retr. Julián Urbano, Markus Schedl
2013	A*	`conf`	Multimedia information retrieval: music and audio. ACM Multimedia Markus Schedl, Emilia Gómez, Masataka Goto
2013	—	`conf`	MusiClef 2013: Soundtrack Selection for Commercials. MediaEval Cynthia C. S. Liem, Nicola Orio, Geoffroy Peeters, Markus Schedl
2013	A*	`conf`	Music similarity and retrieval. SIGIR Peter Knees, Markus Schedl
2013	C	`conf`	Personalized Music Recommendation in a Mobile Environment. MoMM Claus Schabetsberger, Markus Schedl
2013	—	`ed.`	Proceedings of the MediaEval 2013 Multimedia Benchmark Workshop, Barcelona, Spain, October 18-19, 2013. MediaEval Martha A. Larson, Xavier Anguera, Timo Reuter, Gareth J. F. Jones, Bogdan Ionescu, Markus Schedl, Tomas Piatrik, Claudia Hauff, Mohammad Soleymani
2013	—	`conf`	The MediaEval 2013 Affect Task: Violent Scenes Detection. MediaEval Claire-Hélène Demarty, Cédric Penet, Markus Schedl, Bogdan Ionescu, Vu Lam Quang, Yu-Gang Jiang
2013	—	`conf`	The Million Musical Tweet Dataset - What We Can Learn From Microblogs. ISMIR David Hauger, Markus Schedl, Andrej Kosir, Marko Tkalcic
2013	J	`jnl`	The neglected user in music information retrieval research. J. Intell. Inf. Syst. Markus Schedl, Arthur Flexer, Julián Urbano
2012	J	`jnl`	#nowplaying Madonna: a large-scale evaluation on estimating similarities between music artists and between movies from microblogs. Inf. Retr. Markus Schedl
2012	—	`conf`	A model for serendipitous music retrieval. CaRR Markus Schedl, David Hauger, Dominik Schnitzer
2012	—	`conf`	ARF @ MediaEval 2012: An Uninformed Approach to Violence Detection in Hollywood Movies. MediaEval Jan Schlüter, Bogdan Ionescu, Ionut Mironica, Markus Schedl
2012	—	`conf`	ARF @ MediaEval 2012: Multimodal Video Classification. MediaEval Bogdan Ionescu, Ionut Mironica, Klaus Seyerlehner, Peter Knees, Jan Schlüter, Markus Schedl, Horia Cucu, Andi Buzo, Patrick Lambert
2012	—	`conf`	Brave New Task: MusiClef Multimodal Music Tagging. MediaEval Cynthia C. S. Liem, Nicola Orio, Geoffroy Peeters, Markus Schedl
2012	—	`conf`	Evaluating the Online Capabilities of Onset Detection Methods. ISMIR Sebastian Böck, Florian Krebs, Markus Schedl
2012	—	`conf`	Exploring Geospatial Music Listening Patterns in Microblog Data. Adaptive Multimedia Retrieval David Hauger, Markus Schedl
2012	—	`conf`	From Improved Auto-Taggers to Improved Music Similarity Measures. Adaptive Multimedia Retrieval Klaus Seyerlehner, Markus Schedl, Reinhard Sonnleitner, David Hauger, Bogdan Ionescu
2012	—	`conf`	How Significant is Statistically Significant? The case of Audio Music Similarity and Retrieval. ISMIR Julián Urbano, J. Stephen Downie, Brian McFee, Markus Schedl
2012	J	`jnl`	Local and global scaling reduce hubs in space. J. Mach. Learn. Res. Dominik Schnitzer, Arthur Flexer, Markus Schedl, Gerhard Widmer
2012	—	`conf`	Mining microblogs to infer music artist similarity and cultural listening patterns. WWW (Companion Volume) Markus Schedl, David Hauger
2012	—	`book`	Multimodal Music Processing Multimodal Music Processing Meinard Müller, Masataka Goto, Markus Schedl
2012	—	`conf`	MusiClef: Multimodal Music Tagging Task. CLEF Nicola Orio, Cynthia C. S. Liem, Geoffroy Peeters, Markus Schedl
2012	Misc	`conf`	Polyphonic piano note transcription with recurrent neural networks. ICASSP Sebastian Böck, Markus Schedl
2012	—	`conf`	Putting the User in the Center of Music Information Retrieval. ISMIR Markus Schedl, Arthur Flexer
2012	—	`conf`	Towards minimal test collections for evaluation of audio music similarity and retrieval. WWW (Companion Volume) Julián Urbano, Markus Schedl
2012	—	`ch.`	User-Aware Music Retrieval. Multimodal Music Processing Markus Schedl, Sebastian Stober, Emilia Gómez, Nicola Orio, Cynthia C. S. Liem
2012	B	`conf`	nepDroid: an intelligent mobile music player. ICMR Sebastian Huber, Markus Schedl, Peter Knees
2011	J	`jnl`	A music information system automatically generated via Web content mining techniques. Inf. Process. Manag. Markus Schedl, Gerhard Widmer, Peter Knees, Tim Pohle
2011	—	`ed.`	Adaptive Multimedia Retrieval. Context, Exploration, and Fusion - 8th International Workshop, AMR 2010, Linz, Austria, August 17-18, 2010, Revised Selected Papers Adaptive Multimedia Retrieval Marcin Detyniecki, Peter Knees, Andreas Nürnberger, Markus Schedl, Sebastian Stober
2011	J	`jnl`	Exploring the music similarity space on the web. ACM Trans. Inf. Syst. Markus Schedl, Tim Pohle, Peter Knees, Gerhard Widmer
2011	—	`conf`	Investigating the Similarity Space of Music Artists on the Micro-Blogosphere. ISMIR Markus Schedl, Peter Knees, Sebastian Böck
2011	B	`conf`	Large-scale music exploration in hierarchically organized landscapes using prototypicality information. ICMR Markus Schedl, Christian Höglinger, Peter Knees
2011	—	`conf`	MusiCLEF: a Benchmark Activity in Multimodal Music Information Retrieval. ISMIR Nicola Orio, David Rizo, Riccardo Miotto, Markus Schedl, Nicola Montecchio, Olivier Lartillot
2011	A	`conf`	Overview of the third international workshop on search and mining user-generated contents. CIKM Iván Cantador, José Carlos Cortizo, Francisco M. Carrero, José A. Troyano, Paolo Rosso, Markus Schedl
2011	—	`conf`	Personalization in Multimodal Music Retrieval. Adaptive Multimedia Retrieval Markus Schedl, Peter Knees
2011	—	`ed.`	Proceedings of the 3rd International CIKM Workshop on Search and Mining User-Generated Contents, SMUC 2011, Glasgow, United Kingdom, October 28, 2011 SMUC@CIKM Iván Cantador, Francisco M. Carrero, José Carlos Cortizo, Paolo Rosso, Markus Schedl, José A. Troyano
2011	—	`conf`	Using Mutual Proximity to Improve Content-Based Audio Similarity. ISMIR Dominik Schnitzer, Arthur Flexer, Markus Schedl, Gerhard Widmer
2010	A	`conf`	Country of origin determination via Web mining techniques. ICME Markus Schedl, Cornelia Schiketanz, Klaus Seyerlehner
2010	J	`jnl`	Enlightening the sun - A user interface to explore music artists via multimedia content. Multim. Tools Appl. Markus Schedl, Tim Pohle
2010	—	`conf`	On the Use of Microblogging Posts for Similarity Estimation and Artist Labeling. ISMIR Markus Schedl
2010	—	`conf`	Supervised and Unsupervised Web Document Filtering Techniques to Improve Text-Based Music Retrieval. ISMIR Peter Knees, Markus Schedl, Tim Pohle, Klaus Seyerlehner, Gerhard Widmer
2010	A*	`conf`	Three web-based heuristics to determine a person's or institution's country of origin. SIGIR Markus Schedl, Klaus Seyerlehner, Dominik Schnitzer, Gerhard Widmer, Cornelia Schiketanz
2010	—	`conf`	What's Hot? Estimating Country-specific Artist Popularity. ISMIR Markus Schedl, Tim Pohle, Noam Koenigstein, Peter Knees
2009	—	`conf`	Augmenting Text-based Music Retrieval with Audio Similarity: Advantages and Limitations. ISMIR Peter Knees, Tim Pohle, Markus Schedl, Dominik Schnitzer, Klaus Seyerlehner, Gerhard Widmer
2009	—	`conf`	On Rhythm and General Music Similarity. ISMIR Tim Pohle, Dominik Schnitzer, Markus Schedl, Peter Knees, Gerhard Widmer
2009	—	`conf`	The ISMIR Cloud: A Decade of ISMIR Conferences at Your Fingertips. ISMIR Maarten Grachten, Markus Schedl, Tim Pohle, Gerhard Widmer
2008	A	`conf`	A Document-Centered Approach to a Natural Language Music Search Engine. ECIR Peter Knees, Tim Pohle, Markus Schedl, Dominik Schnitzer, Klaus Seyerlehner
2008	—	`conf`	Accessing Music Collections Via Representative Cluster Prototypes in a Hierarchical Organization Scheme. ISMIR Markus Dopler, Markus Schedl, Tim Pohle, Peter Knees
2008	—	`conf`	Exploring Music Artists via Descriptive Terms and Multimedia Content. SAMT Markus Schedl, Tim Pohle
2008	A	`conf`	Towards an Automatically Generated Music Information System Via Web Content Mining. ECIR Markus Schedl, Peter Knees, Tim Pohle, Gerhard Widmer
2007	J	`jnl`	"Reinventing the Wheel": A Novel Approach to Music Player Interfaces. IEEE Trans. Multim. Tim Pohle, Peter Knees, Markus Schedl, Elias Pampalk, Gerhard Widmer
2007	A*	`conf`	A music search engine built upon audio-based and web-based similarity measures. SIGIR Peter Knees, Tim Pohle, Markus Schedl, Gerhard Widmer
2007	—	`conf`	Automatically Detecting Members and Instrumentation of Music Bands Via Web Content Mining. Adaptive Multimedia Retrieval Markus Schedl, Gerhard Widmer
2007	C	`conf`	Building an Interactive Next-Generation Artist Recommender Based on Automatically Derived High-Level Concepts. CBMI Tim Pohle, Peter Knees, Markus Schedl, Gerhard Widmer
2007	J	`jnl`	Exploring Music Collections in Virtual Landscapes. IEEE Multim. Peter Knees, Markus Schedl, Tim Pohle, Gerhard Widmer
2007	—	`conf`	Meaningfully Browsing Music Services. ISMIR Tim Pohle, Peter Knees, Markus Schedl, Gerhard Widmer
2007	B	`conf`	The CoMIRVA Toolkit for Visualizing Music-Related Data. EuroVis Markus Schedl, Peter Knees, Klaus Seyerlehner, Tim Pohle
2007	—	`conf`	The Quest for Ground Truth in Musical Artist Tagging in the Social Web Era. ISMIR Gijs Geleijnse, Markus Schedl, Peter Knees
2007	—	`conf`	Web-Based Detection of Music Band Members and Line-Up. ISMIR Markus Schedl, Gerhard Widmer, Tim Pohle, Klaus Seyerlehner
2006	A*	`conf`	An innovative three-dimensional user interface for exploring music collections enriched. ACM Multimedia Peter Knees, Markus Schedl, Tim Pohle, Gerhard Widmer
2006	—	`conf`	Assigning and Visualizing Music Genres by Web-based Co-Occurrence Analysis. ISMIR Markus Schedl, Tim Pohle, Peter Knees, Gerhard Widmer
2006	—	`conf`	Combining audio-based similarity with web-based data to accelerate automatic music playlist generation. Multimedia Information Retrieval Peter Knees, Tim Pohle, Markus Schedl, Gerhard Widmer
2006	—	`conf`	Independent Component Analysis for Music Similarity Computation. ISMIR Tim Pohle, Peter Knees, Markus Schedl, Gerhard Widmer
2006	—	`conf`	Investigating Web-Based Approaches to Revealing Prototypical Music Artists in Genre Taxonomies. ICDIM Markus Schedl, Peter Knees, Gerhard Widmer
2006	A	`conf`	Towards Automatic Retrieval of Album Covers. ECIR Markus Schedl, Peter Knees, Tim Pohle, Gerhard Widmer
2005	—	`conf`	Discovering and Visualizing Prototypical Artists by Web-Based Co-Occurrence Analysis. ISMIR Markus Schedl, Peter Knees, Gerhard Widmer
2005	—	`conf`	Improving Prototypical Artist Detection by Penalizing Exorbitant Popularity. CMMR Markus Schedl, Peter Knees, Gerhard Widmer
2005	A	`conf`	Interactive Poster: Using CoMIRVA for Visualizing Similarities Between Music Artists. IEEE Visualization Markus Schedl, Peter Knees, Gerhard Widmer
2005	—	`conf`	Multiple Lyrics Alignment: Automatic Retrieval of Song Lyrics. ISMIR Peter Knees, Markus Schedl, Gerhard Widmer
2005	—	`conf`	The Machine Learning and Intelligent Music Processing Group at the Austrian Research Institute for Artificial Intelligence (öFAI), Vienna. ICMC Gerhard Widmer, Simon Dixon, Arthur Flexer, Werner Goebl, Peter Knees, Søren Tjagvad Madsen, Elias Pampalk, Tim Pohle, Markus Schedl, Asmir Tobudic
2004	J	`jnl`	Torque-Controlled Lightweight Arms and Articulated Hands: Do We Reach Technological Limits Now? Int. J. Robotics Res. Gerd Hirzinger, Norbert Sporer, Markus Schedl, Jörg Butterfaß, Markus Grebenstein
2003	J	`jnl`	Space Robotics-DLR's Telerobotic Concepts, Lightweight Arms and Articulated Hands. Auton. Robots Gerd Hirzinger, Bernhard Brunner, Klaus Landzettel, Norbert Sporer, Jörg Butterfaß, Markus Schedl
2002	A*	`conf`	DLR's Torque-Controlled Light Weight Robot III - Are We Reaching the Technological Limits Now? ICRA Gerd Hirzinger, Norbert Sporer, Alin Albu-Schäffer, Matthias Hähnle, R. Krenn, A. Pascucci, Markus Schedl
2002	—	`conf`	Torque-controlled Light Weight Arms and Articulated Hands - Do We Reach Technological Limits Now?. ISER Gerd Hirzinger, Norbert Sporer, Markus Schedl, Jörg Butterfaß, Markus Grebenstein
2000	—	`conf`	A new Generation of Light-Weight Robot Arms and Multifingered Hands. ISER Gerd Hirzinger, Jörg Butterfaß, Max Fischer, Markus Grebenstein, Matthias Hähnle, Hong Liu, Ingo Schäfer, Norbert Sporer, Markus Schedl, Reinhard Koeppe