[C242] Saad Saeed, M., Nawaz, S., Moscati, M.,
Kumar Das, R., Salman Tahir, M., Zaigham Zaheer, M., Irzam Liaqat, M.,
Haris Khan, M., Nandakumar, K., Haroon Yousaf, M., and Schedl, M.
A
Synopsis of FAME 2024 Challenge: Associating Faces with Voices in
Multilingual Environments, Proceedings of the ACM
Multimedia 2024, Melbourne, Australia, October-November 2024.
[C241] Ganhör, C., Moscati, M., Nawaz, S., Hausberger, A., and Schedl,
M.
A Multimodal Single-branch Embedding Network for
Recommendation in Cold-start and Missing Modality Scenarios,
Proceedings of the 18th ACM Conference on Recommender Systems (RecSys
2024), Bari, Italy, October 2024.
[C240] Lesota, O., Geiger, J., Walder, M., Kowald, D., and Schedl, M.
Oh, Behave! Country Representation Dynamics Created by
Feedback Loops in Music Recommender Systems, Proceedings of
the 18th ACM Conference on Recommender Systems (RecSys 2024), Bari,
Italy, October 2024.
[C239] Escobedo, G, Ganhör, C., Brandl, S., Augstein, M., and Schedl,
M.
Simultaneous Unlearning of Multiple Protected User
Attributes From Variational Autoencoder Recommenders Using
Adversarial Training, Proceedings of the 5th International
Workshop on Algorithmic Bias in Search and Recommendation (BIAS @
SIGIR 2024), Washington D.C., USA, July 2024.
[C238] Escobedo, G., Moscati, M., Müllner, P., Kopeinik, S., Kowald,
D., Lex, E., and Schedl M.
Making Alice Appear Like Bob: A
Probabilistic Preference Obfuscation Method For Implicit Feedback
Recommendation Models, Proceedings of the European
Conference on Machine Learning and Principles and Practice of
Knowledge Discovery in Databases (ECML PKDD 2024), Vilnius, Lithuania,
September 2024.
[C237] Melchiorre, A. B., Masoudian, S., Kumar, D., and Schedl, M.
Modular
Debiasing of Latent User Representations in Prototype-based
Recommender Systems, Proceedings of the European Conference
on Machine Learning and Principles and Practice of Knowledge Discovery
in Databases (ECML PKDD 2024), Vilnius, Lithuania, September 2024.
[C236] Schedl, M., Anelli, V.W., and Lex, E.
Trustworthy User
Modeling and Recommendation From Technical and Regulatory
Perspectives, Adjunct Proceedings of the 32nd ACM
Conference on User Modeling, Adaptation and Personalization (UMAP
2024), Cagliari, Italy, July 2024.
[C235] Moscati, M., Strauß, H., Jacobsen, P.-O., Peintner, A.,
Zangerle, E., Zentner, M., and Schedl, M.
Emotion-Based Music
Recommendation from Quality Annotations and Large-Scale
User-Generated Tags, Proceedings of the 32nd ACM Conference
on User Modeling, Adaptation and Personalization (UMAP 2024),
Cagliari, Italy, July 2024.
[C234] Masoudian, S., Volaucnik, C., Schedl, M., and Rekabsaz, N.
Effective
Controllable Bias Mitigation for Classification and Retrieval
using Gate Adapters, Proceedings of the 18th
Conference of the European Chapter of the Association for
Computational Linguistics (EACL 2024), Malta, March 2024.
[C233] Ratz, L., Schedl, M., Kopeinik, S., and Rekabsaz, N.
Measuring Bias in Search Results Through Retrieval
List Comparison, Proceedings of the 46th European
Conference on Information Retrieval (ECIR 2024), Glasgow, Scotland,
March 2024.
[C232] Müllner, P., Lex, E., Schedl, M., and Kowald, D.
The Impact of Differential Privacy on
Recommendation Accuracy and Popularity Bias,
Proceedings of the 46th European Conference on Information Retrieval
(ECIR 2024), Glasgow, Scotland, March 2024.
[C231] Schedl, M., Moscati, M., Sguerra, B., Hennequin, R., Lex, E.
Psychology-informed
Information Access Systems Workshop, Proceedings of
the 17th ACM International Conference on Web Search and Data Mining
(WSDM 2024), Mérida, Mexico, March 2024.
[C230] Stadler, A., Parada-Cabaleiro, E., and Schedl, M.
Towards Potential Applications of Machine
Learning in Computer-Assisted Vocal Training,
Proceedings of the 16th International Symposium on Computer Music
Multidisciplinary Research (CMMR 2023), Tokyo, Japan, November 2023.
[C229] Parada-Cabaleiro, E., Batliner, A., Schmitt, M., Schuller, B.,
and Schedl, M.
Music Emotions in Solo Piano: Bridging the
Gap Between Human Perception and Machine Learning,
Proceedings of the 16th International Symposium on Computer Music
Multidisciplinary Research (CMMR 2023), Tokyo, Japan, November 2023.
[C228] Kumar, D., Grosz, T., Greif, E., Rekabsaz, N., Schedl, M.
Identifying Words in Job Advertisements
Responsible for Gender Bias in Candidate Ranking Systems via
Counterfactual Learning, Proceedings of the 3rd
Workshop on Recommender Systems for Human Resources (RecSys in HR @
RecSys 2023), Singapore, September 2023.
[C227] Moscati, M., Deldjoo, Y., Carparelli, G.D., and Schedl, M.
Multiobjective
Hyperparameter Optimization of Recommender Systems,
Proceedings of the 3rd Workshop on Perspectives on the Evaluation of
Recommender Systems (PERSPECTIVES @ RecSys 2023), Singapore, September
2023.
[C226] Moscati, M., Wallmann, C., Reiter-Haas, M., Kowald, D., Lex,
E., and Schedl, M.
Integrating the ACT-R Framework with
Collaborative Filtering for Explainable Sequential Music
Recommendation, Proceedings of the 17th ACM
Conference on Recommender Systems (RecSys 2023), Singapore, September
2023.
Highlight
[C225] Schedl, M., Anelli, V.W., and Lex, E.
Trustworthy Recommender Systems: Technical,
Ethical, Legal, and Regulatory Perspectives,
Proceedings of the 17th ACM Conference on Recommender Systems (RecSys
2023), Singapore, September 2023.
[C224] Romanov Geleta, R., Eckelt, K., Parada-Cabaleiro, E., Schedl,
M.
Exploring
Intensities of Hate Speech on Social Media: A Case Study on
Explaining Multilingual Models with XAI, Proceedings
of the 4th Conference on Language, Data and Knowledge (LDK 2023),
Vienna, Austria, September 2023.
[C223] Masoudian, S., Koutini, K., Schedl, M., Widmer, M., and
Rekabsaz, N.
Domain
Information Control at Inference Time for Acoustic Scene
Classification, Proceedings of the 31st European
Signal Processing Conference (EUSIPCO), Helsinki, Finland, September
2023.
[C222] Hauzenberger, L., Masoudian, S., Kumar, D., Schedl, M., and
Rekabsaz, N.
Modular and On-demand Bias Mitigation with
Attribute-Removal Subnetworks, Findings of the 61st
Annual Meeting of the Association for Computational Linguistics (ACL),
Toronto, Canada, July 2023.
[C221] Lesota, O., Escobedo, G., Deldjoo, Y., Ferwerda, B., Kopeinik,
S., Lex, E., Rekabsaz, N., and Schedl, M.
Computational Versus Perceived Popularity
Miscalibration in Recommender Systems, Proceedings of
the 46th International ACM SIGIR Conference on Research and
Development in Information Retrieval (SIGIR 2023), Taipei, Taiwan,
July 2023.
Highlight
[C220] Kumar, D., Lesota, O., Zerveas, G., Cohen, D., Eickhoff, C.,
Schedl, M., and Rekabsaz, N.
Parameter-efficient On-demand Bias
Mitigation via AdapterFusion, Proceedings of the 17th
Conference of the European Chapter of the Association for
Computational Linguistics (EACL 2023), Dubrovnik, Croatia, May 2023.
[C219] Kowald, D., Mayr, G., Schedl, M., and Lex, E.
A Study on Accuracy, Miscalibration, and
Popularity Bias in Recommendations, Proceedings of
the 4th International Workshop on Algorithmic Bias in Search and
Recommendation (BIAS 2023) at the 44th European Conference on
Information Retrieval (ECIR 2023), Dublin, Ireland, April 2023.
[C218] Kopeinik, S., Mara, M., Ratz, L., Krieg K., Schedl, M., and
Rekabsaz N.
Show me a "Male Nurse"! How Gender Bias is
Reflected in the Query Formulation of Search Engine Users,
Proceedings of the ACM CHI Conference on Human Factors in Computing
Systems (CHI 2023), Hamburg, Germany, April 2023.
Highlight
[C217] Ferwerda, B., Ingesson, E., Berndl, M., and Schedl, M.
I Don’t Care How Popular You Are!
Investigating Popularity Bias From a User’s Perspective,
Proceedings of the 8th ACM SIGIR Conference on Human Information
Interaction and Retrieval (CHIIR 2023), Austin, USA, March 2023.
[C216] Krieg, K., Parada-Cabaleiro, E., Medicus, G., Lesota, O.,
Schedl, M., and Rekabsaz, N.
Grep-BiasIR: A Dataset for Investigating
Gender Representation Bias in Information Retrieval Results,
Proceedings of the 8th ACM SIGIR Conference on Human Information
Interaction and Retrieval (CHIIR 2023), Austin, USA, March 2023.
[C215] Arefieva, V., Egger, R., Schrefl, M., and Schedl, M.
Travel Bird: A Personalized Destination
Recommender with TourBERT and Airbnb Experiences,
Proceedings of the 16th ACM International Conference on Web Search and
Data Mining (WSDM 2023), Singapore, February-March 2023.
[C214] Schedl, M., Gómez, E., and Lex, E.
Trustworthy Algorithmic Ranking Systems,
Proceedings of the 16th ACM International Conference on Web Search and
Data Mining (WSDM 2023), Singapore, February-March 2023.
[C213] Lesota, O., Parada-Cabaleiro, E., Brandl, S., Lex, E.,
Rekabsaz, N., and Schedl, M.
Traces of Globalization in Online Music
Consumption Patterns and Results of Recommendation Algorithms,
Proceedings of the 23rd International Society for Music Information
Retrieval Conference (ISMIR 2022), Bengaluru, India, December 2022.
Best Student Paper Award
[C212] Mayerl, M., Brandl, S., Specht, G., Schedl, M., and Zangerle,
E.
Verse Versus Chorus: Structure-aware Feature
Extraction for Lyrics-based Genre Recognition,
Proceedings of the 23rd International Society for Music Information
Retrieval Conference (ISMIR 2022), Bengaluru, India, December 2022.
[C211] Moscati, M., Parada-Cabaleiro, E., Deldjoo, Y., Zangerle, E.,
and Schedl, M.
Music4All-Onion — A Large-Scale
Multi-faceted Content-Centric Music Recommendation Dataset,
Proceedings of the 31st ACM International Conference on Information
and Knowledge Management (CIKM 2022), Atlanta, USA, October 2022.
[C210] Peintner, A., Moscati, M., Parada-Cabaleiro, E., Schedl, M. and
Zangerle, E.
Unsupervised Graph Embeddings for
Session-based Recommendation with Item Features,
Proceedings of the 7th Workshop on Context-aware Recommender Systems
(CARS @ RecSys 2022), Seattle, USA, September 2022.
[C209] Lesota, O., Brandl, S., Wenzel, M., Melchiorre, A.B., Lex, E.,
Rekabsaz, N., and Schedl, M.
Exploring Cross-group Discrepancies in
Calibrated Popularity for Accuracy/Fairness Trade-off Optimization,
Proceedings of the 2nd Workshop on Multi-Objective Recommender Systems
(MORS @ RecSys 2022), Seattle, USA, September 2022.
[C208] Melchiorre, A., Rekabsaz, N., Ganhör, C., and Schedl, M.
ProtoMF: Prototype-based Matrix
Factorization for Effective and Explainable Recommendations,
Proceedings of the 16th ACM Recommender Systems Conference (RecSys
2022), Seattle, USA, September 2022.
Highlight
[C207] Lex, E. and Schedl, M.
Psychology-informed Recommender Systems
Tutorial, Proceedings of the 16th ACM Recommender
Systems Conference, Seattle, USA, September 2022.
[C206] Schedl, M., Rekabsaz, N., Lex, E., Grosz, T., and Greif, E.
Multiperspective
and Multidisciplinary Treatment of Fairness in Recommender Systems
Research, Adjunct Proceedings of the 30th ACM
Conference on User Modeling, Adaptation and Personalization (UMAP
2022), Barcelona, Spain, July 2022.
[C205] Schedl, M., Gómez, E., and Lex, E.
Retrieval and Recommendation Systems at the
Crossroads of Artificial Intelligence, Ethics, and Regulation,
Proceedings of the 45th International ACM SIGIR Conference on Research
and Development in Information Retrieval (SIGIR 2022), Madrid, Spain,
July 2022.
[C204] Ganhör, C., Penz, D., Rekabsaz, N., Lesota, O., and Schedl, M.
Unlearning
Protected User Attributes in Recommendations with Adversarial
Training, Proceedings of the 45th International ACM
SIGIR Conference on Research and Development in Information Retrieval
(SIGIR 2022), Madrid, Spain, July 2022.
Highlight
[C203] Melchiorre, A., Penz, D., Ganhör, C., Lesota, O., Fragoso, V.,
Friztl, F., Parada-Cabaleiro, E., Schubert, F., and Schedl, M.
EmoMTB: Emotion-aware Music Tower Blocks,
Proceedings of the ACM International Conference on Multimedia
Retrieval (ICMR 2022), Newark, USA, June 2022.
[C202] Tommasini, R., Roy, S.B., Wang, X., Wang, H., Ji, H., Han, J.,
Nakov, P., Da San Martino, G., Alam, F., Schedl, M., Lex, E.,
Bharadwaj, A., Cormode, G., Dojchinovski, M., Forberg, J., Frey, J.,
Bonte, P., Balduini, M., Belcao, M., Della Valle, E., Yu, J., Yin, H.,
Chen, T., Liu, H., Wang, Y., Fan, W., Liu, X., Dacon, J., Lye, L.,
Tang, J., Gionis, A., Neumann, S., Ordozgoiti, B., Razniewski, S.,
Arnaout, H., Ghosh, S., Suchanek, F., Wu, L., Chen, Y., Li, Y., Liu,
B., Ilievski, F., Garijo, D., Chalupsky, H., Pedro, P., Kanellos, I.,
Sacharidis, D., Vergoulis, T., Choudhary, N., Rao, N., Subbian, K.,
Sengamedu, S., Reddy, C.K., Victor, F., Haslhofer, B.,
Katsogiannis-Meimarakis, G., Koutrika, G., Jin, S., Koutra, D.,
Zafarani, R., Tsvetkov, Y., Balachandran, V., Kumar, S., Zhao, X.,
Chen, B., Guo, H., Wang, Y., Tang, R., Zhang, Y., Wang, W., Wu, P.,
Feng, F., and He, X.
Accepted Tutorials at The Web Conference
2022, Companion Proceedings of the Web Conference
2022, Online, April 2022.
[C201] Krieg, K., Parada-Cabaleiro, E., Schedl, M., and Rekabsaz, N.
Do Perceived Gender Biases in Retrieval
Results Affect Users' Relevance Judgements?,
Proceedings of the 3rd International Workshop on Algorithmic Bias in
Search and Recommendation (BIAS 2022) at the 44th European Conference
on Information Retrieval (ECIR 2022), Stavanger, Norway, April, 2022.
[C200] Lex, E. and Schedl, M.
Psychology-informed Recommender Systems: A
Human-centric Perspective on Recommender Systems,
Proceedings of the 7th ACM SIGIR Conference on Human Information
Interaction and Retrieval (CHIIR 2022), Virtual, March 2022.
[C199] Schedl, M., Brandl, S., Lesota, O., Parada-Cabaleiro, E., Penz,
D., and Rekabsaz, N.
LFM-2b: A Dataset of Enriched Music
Listening Events for Recommender Systems Research and Fairness
Analysis, Proceedings of the 7th ACM SIGIR Conference
on Human Information Interaction and Retrieval (CHIIR 2022), Virtual,
March 2022.
Highlight
[C198] Duricic, T., Kowald, D., Schedl M., and Lex, E.
My Friends Also Prefer Diverse Music:
Homophily and Link Prediction With User Preferences for
Mainstream, Novelty, and Diversity in Music,
Proceedings of the 2021 IEEE/ACM International Conference on Advances
in Social Networks Analysis and Mining (ASONAM 2021), Virtual,
November 2021.
[C197] Brandl, S. and Schedl, M.
Interactively Exploring Similarities Between
Music Genres Based on User-generated Tags,
Late-Breaking/Demos of the 22nd International Society for Music
Information Retrieval Conference (ISMIR 2021), Virtual, November 2021.
[C196] Schweiger, H., Parada-Cabaleiro, E., and Schedl, M.
Does Track Sequence in User-generated
Playlists Matter?, Proceedings of the 22nd
International Society for Music Information Retrieval Conference
(ISMIR 2021), Virtual, November 2021.
[C195] Parada-Cabaleiro, E., Schmitt, M., Batliner, A., Schuller, B.,
and Schedl, M.
Automatic Recognition of Texture in
Renaissance Music, Proceedings of the 22nd
International Society for Music Information Retrieval Conference
(ISMIR 2021), Virtual, November 2021.
[C194] Krauck, A., Penz, D., and Schedl, M.
Team JKU-AIWarriors in the ACM Recommender
Systems Challenge 2021: Lightweight XGBoost Recommendation
Approach Leveraging User Features, Proceedings of the
RecSys Challenge Workshop 2021 at the 15th ACM Conference on
Recommender Systems (RecSys 2021), Amsterdam, the Netherlands,
October-November 2021.
[C193] Reiter-Haas, M., Parada-Calabeiro, E., Schedl, M., Motamedi,
E., Tkalčič, M., and Lex, E.
Predicting Music Relistening Behavior Using
the ACT-R Framework, Proceedings of the 15th ACM
Conference on Recommender Systems (RecSys 2021), Amsterdam, the
Netherlands, October-November 2021.
[C192] Lesota, O., Melchiorre, A., Rekabsaz, N., Brandl, S., Kowald,
D., Lex, E., and Schedl, M.
Analyzing Item Popularity Bias of Music
Recommender Systems: Are Different Genders Equally Affected?,
Proceedings of the 15th ACM Conference on Recommender Systems (RecSys
2021), Amsterdam, the Netherlands, October-November 2021.
[C191] Lesota, O., Rekabsaz, N., Cohen, D., Grasserbauer, K.,
Eickhoff, C. and Schedl, M.
A Modern Perspective on Query Likelihood
with Deep Generative Retrieval Models, Proceedings of
the ACM SIGIR International Conference on the Theory of Information
Retrieval (ICTIR 2021), Online, July 2021.
[C190] Jones, R., Zamani, H., Schedl, M., Chen, C.-W., Reddy, S.,
Clifton, A., Karlgren, J., Hashemi, H., Pappu, A., Nazari, Z., Yang,
L., Semerci, O., Bouchard, H., and Carterette B.
Current Challenges and Future Directions in
Podcast Information Access, Proceedings of the 44th
International ACM SIGIR Conference on Research and Development in
Information Retrieval (SIGIR 2021), Online, July 2021.
[C189] Rekabsaz, N., Kopeinik, S., and Schedl, M.
Societal Biases in Retrieved Contents:
Measurement Framework and Adversarial Mitigation of BERT Rankers,
Proceedings of the 44th International ACM SIGIR Conference on Research
and Development in Information Retrieval (SIGIR 2021), Online, July
2021.
Highlight
[C188] Rekabsaz, N., Lesota, O., Schedl, M., Brassey, J., and
Eickhoff, E.
TripClick: The Log Files of a Large Health
Web Search Engine, Proceedings of the 44th
International ACM SIGIR Conference on Research and Development in
Information Retrieval (SIGIR 2021), Online, July 2021.
[C187] Stelzmüller, C., Tanzer, S., and Schedl, M.
Cross-city Analysis of Location-based
Sentiment in User-generated Text, Proceedings of the
11th International Workshop on Location and the Web (LocWeb 2021), WWW
2021 Companion, Virtual, April 2021.
[C186] Melchiorre, A., Haunschmid, V., Schedl, M., and Widmer, G.
LEMONS: Listenable Explanations for Music
recOmmeNder Systems, Proceedings of the 43rd European
Conference on Information Retrieval (ECIR 2021), Virtual, March-April
2021.
[C185] Liu, M., Zangerle, E., Hu, X., Melchiorre, A., and Schedl, M.
Pandemics, Music, and Collective Sentiment:
Evidence From the Outbreak of COVID-19, Proceedings
of the 21st International Society for Music Information Retrieval
Conference (ISMIR 2020), Virtual, October 2020.
[C184] Robinson, K., Brown, D., and Schedl, M.
User Insights on Diversity in Music Recommendation
Lists, Proceedings of the 21st International Society
for Music Information Retrieval Conference (ISMIR 2020), Virtual,
October 2020.
[C183] Melchiorre, A., Zangerle, E., and Schedl, M.
Personality Bias of Music Recommendation
Algorithms, Proceedings of the 14th ACM Conference on
Recommender Systems (RecSys 2020), Virtual, September 2020.
Highlight
[C182] Rekabsaz, N. and Schedl, M.
Do Neural Ranking Models Intensify Gender
Bias?, Proceedings of the 43rd International ACM
SIGIR Conference on Research and Development in Information Retrieval
(SIGIR 2020), Xi'an, China, July 2020.
[C181] Schedl, M., Mayr, M., and Knees, P.
Music Tower Blocks: Multi-Faceted
Exploration Interface for Web-Scale Music Access,
Proceedings of the ACM International Conference on Multimedia
Retrieval (ICMR 2020), Dublin, Ireland, June 2020.
Best
Demo Award
[C180] Melchiorre, A.B. and Schedl, M.
Personality Correlates of Music Audio
Preferences for Modelling Music Listeners,
Proceedings of the 28th International Conference on User Modeling,
Adaptation and Personalization (UMAP 2020), Genoa, Italy, July 2020.
[C179] Kowald, D., Schedl, M., and Lex, E.
The Unfairness of Popularity Bias in Music
Recommendation: A Reproducibility Study, Proceedings
of the 42nd European Conference on Information Retrieval (ECIR 2020),
Lisbon, Portugal, April 2020.
[C178] Kowald, D., Lex, E., and Schedl, M.
Utilizing Human Memory Processes to Model Genre
Preferences for Personalized Music Recommendations,
Proceedings of the 25th Conference on Intelligent User Interfaces (IUI
2020): Workshop on Theory-Informed User Modeling for Tailoring and
Personalizing Interfaces (HUMANIZE 2020), Cagliari, Italy, March 2020.
[C177] Kowald, D., Lex, E., and Schedl, M.
Modeling Artist Preferences for Personalized
Music Recommendations, Late-Breaking/Demos of the
20th International Society for Music Information Retrieval Conference
(ISMIR 2019), Delft, the Netherlands, November 2019.
[C176] Knees, P., Schedl, M., and Goto, M.
Intelligent User Interfaces for Music
Discovery: The Past 20 Years and What's to Come,
Proceedings of the 20th International Society for Music Information
Retrieval Conference (ISMIR 2019), Delft, the Netherlands, November
2019.
[C175] Bauer, C., Schedl, M., Angerer, V., and Wegenkittl, S.
Tastalyzer: Audiovisual Exploration of Urban
and Rural Variations in Music Taste, Proceedings of
the ACM Multimedia 2019, Nice, France, October 2019.
[C174] Costanzo, L.L., Deldjoo, Y., Dacrema, M.F., Schedl, M., and
Cremonesi P.
Towards
Evaluating User Profiling Methods Based on Explicit Ratings on
Item Features, Proceedings of the 4th Joint Workshop
on Interfaces and Human Decision Making for Recommender Systems (IntRS
2019), Copenhagen, Denmark, September 2019.
[C173] Deldjoo, Y., Schedl, M., and Elahi, M.
Movie Genome Recommender: A Novel
Recommender System Based on Multimedia Content,
Proceedings of the 17th International Conference on Content-based
Multimedia Indexing (CBMI 2019), Dublin, Ireland, September 2019.
[C172] Deldjoo, Y. and Schedl, M.
Retrieving Relevant and Diverse Movie Clips
Using the MFVCD-7K Multifaceted Video Clip Dataset,
Proceedings of the 17th International Conference on Content-based
Multimedia Indexing (CBMI 2019), Dublin, Ireland, September
2019.
Best Short Paper
Award
[C171] Schedl, M.
Genre Differences of Song Lyrics and Artist
Wikis: An Analysis of Popularity, Length, Repetitiveness, and
Readability, Proceedings of the Web Conference 2019
(WWW 2019), San Francisco, USA, May 2019.
Highlight
[C170] Bauer, C. and Schedl, M.
Cross-country User Connections in an Online
Social Network for Music, ACM CHI '19 Extended
Abstracts on Human Factors in Computing Systems (CHI 2019), Glasgow,
Scotland, May 2019.
[C169] Knees, P., Schedl, M., and Fiebrink, R.
Intelligent Music Interfaces for Listening
and Creation, Proceedings of the 24th International
Conference on Intelligent User Interfaces (IUI ’19 Companion), Los
Angeles, USA, March 2019.
[C168] Bauer, C. and Schedl, M.
A Cross-Country Investigation of User
Connection Patterns in Online Social Networks,
Proceedings of the 52nd Hawaii International Conference on System
Sciences (HICSS 2019), Maui, Hawaii, USA, January 2019.
[C167] Deldjoo, Y., Constantin, M.G., Dritsas, A., Ionescu, B., and
Schedl, M.
The MediaEval 2018 Movie Recommendation
Task: Recommending Movies Using Content, Working
Notes Proceedings of MediaEval 2018: Multimedia Benchmark Workshop,
Sophia Antipolis, France, October 2018.
[C166] Hamad, M.M., Skowron, M., and Schedl, M.
Regressing Controversy of Music Artists from
Microblogs, Proceedings of the 30th International
Conference on Tools with Artificial Intelligence (ICTAI 2018), Volos,
Greece, November 2018.
[C165] Chen, C.-W., Lamere, P., Schedl, M., and Zamani, H.
RecSys Challenge 2018: Automatic Music
Playlist Continuation, Proceedings of the 12th ACM
Conference on Recommender Systems (RecSys 2018), Vancouver, Canada,
October 2018.
[C164] Deldjoo, Y., Constantin, M.G., Eghbal-zadeh, H., Schedl, M.,
Ionescu, B., and Cremonesi, P.
Audio-Visual Encoding of Multimedia Content
to Enhance Movie Recommendations, Proceedings of the
12th ACM Conference on Recommender Systems (RecSys 2018), Vancouver,
Canada, October 2018.
[C163] Deldjoo, Y., Schedl, M., Hidasi, B., and Knees, P.
Multimedia Recommender Systems,
Proceedings of the 12th ACM Conference on Recommender Systems (RecSys
2018), Vancouver, Canada, October 2018.
[C162] Vall, A., Quadrana, M., Schedl, M., and Widmer, G.
The Importance of Song Context and Song
Order in Automated Music Playlist Generation,
Proceedings of the 15th International Conference on Music Perception
and Cognition (ICMPC 2018) and 10th Triennial Conference of the
European Society for the Cognitive Sciences of Music (ESCOM 2018),
Graz, Austria, July 2018.
[C161] Schedl, M., Knees, P., and Gouyon, F.
Overview and New Challenges of Music
Recommendation Research in 2018, Proceedings of the
19th International Society for Music Information Retrieval Conference
(ISMIR 2018), Paris, France, September 2018.
[C160] Bauer, C., and Schedl, M.
Investigating Cross-Country Relationship
between Users' Social Ties and Music Mainstreaminess,
Proceedings of the 19th International Society for Music Information
Retrieval Conference (ISMIR 2018), Paris, France, September 2018.
[C159] Zangerle, E., Pichl, M., and Schedl, M.
Culture-Aware Music Recommendation,
Proceedings of the 26th International Conference on User Modeling,
Adaptation and Personalization (UMAP 2018), Singapore, July 2018.
[C158] Deldjoo, Y., Constantin, M.G., Ionescu, B., and Schedl, M.
MMTF-14K: A Multifaceted Movie Trailer
Dataset for Recommendation and Retrieval, Proceedings
of the 9th ACM Multimedia Systems Conference (MMSys 2018), Amsterdam,
the Netherlands, June 2018.
[C157] Deldjoo, Y., Schedl, M., Cremonesi, P., and Pasi, G.
Content-Based Multimedia Recommendation
Systems: Definition and Application Domains,
Proceedings of the 9th Italian Information Retrieval Workshop (IIR
2018), Rome, Italy, May 2018.
[C156] Schedl, M., Wiechert, E., and Bauer, C.
The Effects of Real-world Events on Music
Listening Behavior: An Intervention Time Series Analysis,
Proceedings of the Web Conference 2018 (WWW 2018), Lyon, France, April
2018.
Highlight
[C155] Knees, P., Schedl, M., and Fiebrink, R.
IUI’18 Workshop on Intelligent Music
Interfaces for Listening and Creation (MILC),
Proceedings of the 23rd ACM International Conference on Intelligent
User Interfaces (IUI 2018): Workshop on Intelligent Music Interfaces
for Listening and Creation (MILC 2018), Tokyo, Japan, March 2018.
[C154] Esswein, C., Schedl, M., and Zangerle, E.
geMsearch: Personalized Explorative Music
Search, Proceedings of the 23rd ACM International
Conference on Intelligent User Interfaces (IUI 2018): Workshop on
Intelligent Music Interfaces for Listening and Creation (MILC 2018),
Tokyo, Japan, March 2018.
[C153] Vall, A., Dorfer, M., Schedl, M., and Widmer, G.
A Hybrid Approach to Music Playlist
Continuation Based on Playlist-Song Membership,
Proceedings of the 33rd ACM Symposium on Applied Computing (SAC 2018),
Pau, France, April 2018.
[C152] Rudinac, S., Chua, T.S., Diaz-Ferreyra, N., Friedland, G.,
Gornostaja, T., Huet, B., Kaptein, R., Lindén, K., Moens, M.-F.,
Peltonen, J., Redi, M., Schedl, M., Shamma, D.A., Smeaton, A., and
Xie, L.,
Rethinking Summarization and Storytelling
for Modern Social Multimedia, Proceedings of the 24th
International Conference on Multimedia Modeling (MMM 2018), Bangkok,
Thailand, February 2018.
[C151] Bauer, C. and Schedl, M.
On the Importance of Considering
Country-specific Aspects on the Online-Market: An Example of Music
Recommendation Considering Country-Specific Mainstream,
Proceedings of the 51th Hawaii International Conference on System
Sciences (HICSS 2018), Waikoloa Village, Hawaii, USA, January 2018.
[C150] Schedl, M. and Bauer, C.
Introducing Global and Regional
Mainstreaminess for Improving Personalized Music Recommendation,
Proceedings of the 15th International Conference on Advances in Mobile
Computing & Multimedia (MoMM 2017), Salzburg, Austria, December
2017.
Best Paper Award
[C149] Schedl, M. and Ferwerda, B.
Large-scale Analysis of Group-specific Music
Genre Taste From Collaborative Tags, Proceedings of
the 19th IEEE International Symposium on Multimedia (ISM), Taichung,
Taiwan, December 2017.
[C148] Pichl, M., Zangerle, E., and Schedl, M.
Mining Culture-Specific Music Listening
Behavior from Social Media Data, Proceedings of the
19th IEEE International Symposium on Multimedia (ISM), Taichung,
Taiwan, December 2017.
[C147] Schedl, M., Lemmerich, F., Ferwerda, B., Skowron, M., and
Knees, P.
Indicators of Country Similarity in Terms of
Music Taste, Cultural, and Socio-economic Factors,
Proceedings of the 19th IEEE International Symposium on Multimedia
(ISM), Taichung, Taiwan, December 2017.
[C146] Koutini, K., Imenina, A., Dorfer, M., Gruber, A.R., and Schedl,
M.
MediaEval 2017 AcousticBrainz Genre Task:
Multilayer Perceptron Approach, Working Notes
Proceedings of MediaEval 2017: Multimedia Benchmark Workshop, Dublin,
Ireland, September 2017.
[C145] Jetzinger, F., Huemer, F., and Schedl, M.
Towards Predicting the Popularity of Music
Artists, Proceedings of the 10th International
Workshop on Machine Learning and Music (MML 2017), Barcelona, Spain,
October 2017.
[C144] Liu, M., Hu, X., and Schedl, M.
Artist Preferences and Cultural,
Socio-economic Distances Across Countries: A Big Data Perspective,
Proceedings of the 18th International Society for Music Information
Retrieval Conference (ISMIR 2017), Suzhou, China, October 2017.
[C143] Schedl, M., Zamani, H., Chen, C.-W., Deldjoo, Y., and Elahi, M.
RecSys Challenge 2018: Automatic Playlist
Continuation, Late-Breaking/Demos of the 18th
International Society for Music Information Retrieval Conference
(ISMIR 2017), Suzhou, China, October 2017.
[C142] Pálmason, H., Jónsson, B. Þ., Amsaleg, L., Schedl, M., and
Knees, P.
On Competitiveness of Nearest-Neighbor Based
Music Classification: A Methodological Critique,
Proceedings of the 10th International Conference on Similarity Search
and Applications (SISAP 2017), Munich, Germany, October 2017.
[C141] Schedl, M. and Bauer, C.
Online Music Listening Culture of Kids and
Adolescents: Listening Analysis and Music Recommendation Tailored
to the Young, Proceedings of the 11th ACM Conference
on Recommender Systems (RecSys 2017): International Workshop on
Children and Recommender Systems (KIDREC 2017), Como, Italy, August
2017.
[C140] Vall, A., Eghbal-zadeh, Dorfer, M., and Schedl, M.
Music Playlist Continuation by Learning from
Hand-Curated Examples and Song Features, Proceedings
of the 11th ACM Conference on Recommender Systems (RecSys 2017):
Workshop on Deep Learning for Recommender Systems (DLRS 2017), Como,
Italy, August 2017.
[C139] Ferwerda, B., Tkalcic, M., and Schedl, M.
Personality Traits and Music Genre
Preferences: How Music Taste Vary Over Age Groups,
Proceedings of the 11th ACM Conference on Recommender Systems (RecSys
2017): Workshop on Temporal Reasoning in Recommender Systems (TempRSS
2017), Como, Italy, August 2017.
[C138] Vall, A., Quadrana, M., Schedl, M., Widmer, G., and Cremonesi,
P.
The Importance of Song Context in Music
Playlists, Proceedings of the Poster Track of the
11th ACM Conference on Recommender Systems (RecSys 2017), Como, Italy,
August 2017.
[C137] Schedl, M., and Knees, P., and Gouyon, F.
New Paths in Music Recommender Systems
Research, Proceedings of the 11th ACM Conference on
Recommender Systems (RecSys 2017), Como, Italy, August 2017.
[C136] Pálmason, H., Jónsson, B. Þ., Schedl, M., and Knees, P.
Music Genre Classification Revisited: An
In-Depth Examination Guided by Music Experts,
Proceedings of the 13th International Symposium on Computer Music
Multidisciplinary Research (CMMR 2017), Porto, Portugal, September
2017.
[C135] Schedl, M. and Bauer, C.
Distance- and Rank-based Music
Mainstreaminess Measurement, Proceedings of the 25th
International Conference on User Modeling, Adaptation and
Personalization (UMAP 2017): Workshop on Surprise, Opposition, and
Obstruction in Adaptive and Personalized Systems (SOAP 2017),
Bratislava, Slovakia, July 2017.
[C134] Bauer, C. and Schedl, M.
Introducing Surprise and Opposition by
Design in Recommender Systems, Proceedings of the
25th International Conference on User Modeling, Adaptation and
Personalization (UMAP 2017): Workshop on Surprise, Opposition, and
Obstruction in Adaptive and Personalized Systems (SOAP 2017),
Bratislava, Slovakia, July 2017.
[C133] Deldjoo, Y., Cremonesi, P., Schedl, M., and Quadrana, M.
The Effect of Different Video Summarization
Models on the Quality of Video Recommendation Based on Low-level
Visual Features, Proceedings of the 15th
International Workshop on Content-based Multimedia Indexing (CBMI
2017), Florence, Italy, June 2017.
[C132] Krismayer, T., Schedl, M., Knees, P., and Rabiser, R.
Prediction of User Demographics from Music
Listening Habits, Proceedings of the 15th
International Workshop on Content-based Multimedia Indexing (CBMI
2017), Florence, Italy, June 2017.
Highlight
[C131] Ferwerda, B., Tkalčič, M., and Schedl, M.
Personality Traits and Music Genres: What Do
People Prefer to Listen To?, Proceedings of the 25th
International Conference on User Modeling, Adaptation and
Personalization (UMAP 2017), Bratislava, Slovakia, July 2017.
Highlight
[C130] Graus, M., Ferwerda, B., Schedl, M., Tkalčič, M., Willemsen,
M., and Germanakos, P.
IUI’17 Companion-Workshop Summary for
HUMANIZE’17, Companion of the 22nd ACM International
Conference on Intelligent User Interfaces (IUI 2017), Limassol,
Cyprus, March 2017.
[C129] Schedl, M.
Intelligent User Interfaces for Social Music
Discovery and Exploration of Large-scale Music Repositories,
Proceedings of the 22nd ACM International Conference on Intelligent
User Interfaces (IUI 2017): Workshop on Theory-Informed User Modeling
for Tailoring and Personalizing Interfaces (HUMANIZE 2017), Limassol,
Cyprus, March 2017.
[C128] Skowron, M., Lemmerich, F., Ferwerda, B., and Schedl, M.
Predicting Genre Preferences from Cultural
and Socio-economic Factors for Music Retrieval,
Proceedings of the 39th European Conference on Information Retrieval
(ECIR 2017), Aberdeen, Scotland, UK, April 2017.
Highlight
[C127] Ferwerda, B., Graus, M., Vall, A., Tkalčič, M., and Schedl, M.
How Item Discovery Enabled by Diversity
Leads to Increased Recommendation List Attractiveness,
Proceedings of the 32nd ACM Symposium on Applied Computing (SAC 2017),
Marrakesh, Morocco, April 2017.
[C126] Ferwerda, B. and Schedl, M.
Personality-Based User Modeling for Music
Recommender Systems, Proceedings of the European
Conference on Machine Learning and Principles and Practice of
Knowledge Discovery in Databases (ECML PKDD 2016), Riva del Garda,
Italy, September 2016.
[C125] Ferwerda, B., Graus, M., Vall, A., Tkalčič, M., and Schedl, M.
The Influence of Users' Personality Traits
on Satisfaction and Attractiveness of Diversified Recommendation
Lists, Proceedings of the 4th Workshop on Emotions
and Personality in Personalized Services (EMPIRE 2016), Boston, USA,
September 2016.
[C124] Ferwerda, B. and Schedl, M.
Investigating the Relationship Between
Diversity in Music Consumption Behavior and Cultural Dimensions: A
Cross-country Analysis, Proceedings of the 24th
International Conference on User Modeling, Adaptation and
Personalization (UMAP 2016): Workshop on Surprise, Opposition, and
Obstruction in Adaptive and Personalized Systems (SOAP 2016), Halifax,
Canada, July 2016.
[C123] Vall, A., Eghbal-Zadeh, H., Dorfer, M., and Schedl, M.
Timbral and Semantic Features for Music
Playlists, International Conference on Machine
Learning (ICML 2016): Machine Learning for Music Discovery Workshop,
New York, USA, June 2016.
[C122] Schedl, M., Eghbal-Zadeh, H., Gómez, E., and Tkalčič, M.
An Analysis of Agreement in Classical Music
Perception and Its Relationship to Listener Characteristics,
Proceedings of the 17th International Society for Music Information
Retrieval Conference (ISMIR 2016), New York, USA, August 2016.
[C121] Gómez, E., Schedl M., Serra X., and Hu X.
Music Information Retrieval: Overview,
Recent Developments and Future Challenges,
Proceedings of the 17th International Society for Music Information
Retrieval Conference (ISMIR 2016), New York, USA, August 2016.
[C120] Ferwerda, B., Vall, A., Tkalčič, M., and Schedl, M.
Exploring Music Diversity Needs Across
Countries, Proceedings of the 24th International
Conference on User Modeling, Adaptation and Personalization (UMAP
2016), Halifax, Canada, July 2016.
[C119] Schedl, M., Hauger, D., Tkalčič, M., Melenhorst, M., and Liem,
C.C.S.
A Dataset of Multimedia Material About
Classical Music: PHENICX-SMM, Proceedings of the 14th
International Workshop on Content-Based Multimedia Indexing (CBMI
2016), Bucharest, Romania, June 2016.
[C118] Hauger, D. and Schedl, M.
Music Tweet Map: A Browsing Interface to
Explore the Microblogosphere of Music, Proceedings of
the 14th International Workshop on Content-Based Multimedia Indexing
(CBMI 2016), Bucharest, Romania, June 2016.
[C117] Schedl, M.
The LFM-1b Dataset for Music Retrieval and
Recommendation, Proceedings of the ACM International
Conference on Multimedia Retrieval (ICMR 2016), New York, USA, April
2016.
Highlight
[C116] Tkalčič, M., Schedl, M., Liem, C.C.S., and Melenhorst, M.
Personalized Retrieval and Browsing of
Classical Music and Supporting Multimedia Material,
Proceedings of the ACM International Conference on Multimedia
Retrieval (ICMR 2016), New York, USA, April 2016.
[C115] Schedl, M., Melenhorst, M., Liem, C.C.S., Dominguez, A.M., and
Tkalčič, M.
A Personality-based Adaptive System for
Visualizing Classical Music Performances, Proceedings
of the 7th ACM Multimedia Systems Conference (MMSys 2016), Klagenfurt,
Austria, May 2016.
[C114] Skowron, M., Ferwerda, B., Tkalčič, M., and Schedl, M.
Fusing Social Media Cues: Personality
Prediction from Twitter and Instagram, Proceedings of
the 25th International World Wide Web Conference (WWW 2016), Montreal,
Canada, April 2016.
Highlight
[C113] Ferwerda, B., Schedl, M., and Tkalčič, M.
Personality Traits and the Relationship with
(Non-) Disclosure Behavior on Facebook, Companion of
the 25th International World Wide Web Conference (WWW 2016): 7th
International Workshop on Modeling Social Media (MSM 2016), Montreal,
Canada, April 2016.
[C112] Schedl, M. and Zhou, F.
Fusing Web and Audio Predictors to Localize
the Origin of Music Pieces for Geospatial Retrieval,
Proceedings of the 38th European Conference on Information Retrieval
(ECIR 2016), Padova, Italy, March 2016.
[C111] Ferwerda, B., Schedl, M., and Tkalčič, M.
Using Instagram Picture Features to Predict
Users' Personality, Proceedings of the 22nd
International Conference on MultiMedia Modeling (MMM 2016), Miami,
USA, January 2016.
Highlight
[C110] Schedl, M.
Towards Personalizing Classical Music
Recommendations, Proceedings of the 2nd International
Workshop on Social Media Retrieval and Analysis (SoMeRA 2015),
Atlantic City, USA, November 2015.
[C109] Mayr, M., Hintersteiner, T., Weingartner, M., Schröckeneder,
F., Knees, P., and Schedl, M.
JKU-Satellite at Media Eval 2015: An
Intuitive Approach to Locate Single Pictures Within a Session,
Working Notes Proceedings of MediaEval 2015: Multimedia Benchmark
Workshop, Wurzen, Germany, September 2015.
[C108] Weber, M., Krismayer, T., Wöß, J., Aigmüller, L., Birnzain, P.,
Schedl, M., and Knees, P.
MediaEval 2015: JKU-Tinnitus Approach to
Emotion in Music Task, Working Notes Proceedings of
MediaEval 2015: Multimedia Benchmark Workshop, Wurzen, Germany,
September 2015.
[C107] Mironică, I., Ionescu, B., Sjöberg, M., Schedl, M., and
Skowron, M.
RFA at MediaEval 2015 Affective Impact of Movies
Task: A Multimodal Approach, Working Notes
Proceedings of MediaEval 2015: Multimedia Benchmark Workshop, Wurzen,
Germany, September 2015.
[C106] Sjöberg, M., Baveye, Y., Wang, H., Quang V.L., Ionescu, B.,
Dellandréa, E., Schedl, M., Demarty, C.-H., and Chen, L.
The MediaEval 2015 Affective Impact of
Movies Task, Working Notes Proceedings of MediaEval
2015: Multimedia Benchmark Workshop, Wurzen, Germany, September 2015.
[C105] Schedl, M.
Listener-aware Music Search and
Recommendation, Proceedings of the 6th International
Workshop on Mining Ubiquitous and Social Environments (MUSE 2015),
Porto, Portugal, September 2015.
[C104] Vall, A., Skowron, M., Knees, P., and Schedl, M.
Improving Music Recommendations with a
Weighted Factorization of the Tagging Activity,
Proceedings of the 16th International Society for Music Information
Retrieval Conference (ISMIR 2015), Malaga, Spain, October 2015.
[C103] Eghbal-zadeh, H., Lehner, B., Schedl, M., and Widmer, G.
I-Vectors for Timbre-Based Music Similarity
and Classification, Proceedings of the 16th
International Society for Music Information Retrieval Conference
(ISMIR 2015), Malaga, Spain, October 2015.
[C102] Schedl, M.
Listener-aware Music Recommendation from
Sensor and Social Media Data, Proceedings of the
European Conference on Machine Learning and Principles and Practice of
Knowledge Discovery in Databases (ECML PKDD 2015), Porto, Portugal,
September 2015.
[C101] Eghbal-zadeh, H., Schedl, M., and Widmer, G.
Timbral Modeling for Music Artist
Recognition Using I-vectors, Proceedings of the 23rd
European Signal Processing Conference (EUSIPCO 2015), Nice, France,
August-September 2015.
[C100] Liem, C.C.S., Gómez, E., and Schedl, M.
PHENICX: Innovating the Classical Music
Experience, Proceedings of the IEEE International
Conference on Multimedia and Expo (ICME 2015), Torino, Italy,
June-July 2015.
[C99] Schedl, M., Sjöberg, M., Mironică, I., Ionescu, B., Quang V.L.,
Jiang Y.-G., and Demarty, C.-H.
VSD2014: A Dataset for Violent Scenes
Detection in Hollywood Movies and Web Videos,
Proceedings of the 13th International Workshop on Content-Based
Multimedia Indexing (CBMI 2015), Prague, Czech Republic, June 2015.
[C98] Knees, P. and Schedl, M.
Music Retrieval and Recommendation - A
Tutorial Overview, Proceedings of the 38th Annual
International ACM SIGIR Conference on Research and Development in
Information Retrieval (SIGIR 2015), Santiago, Chile, August 2015.
[C97] Schedl, M., and Hauger, D.
Tailoring Music Recommendations to Users by
Considering Diversity, Mainstreaminess, and Novelty,
Proceedings of the 38th Annual International ACM SIGIR Conference on
Research and Development in Information Retrieval (SIGIR 2015),
Santiago, Chile, August 2015.
Highlight
[C96] Ferwerda, B., Schedl, M., and Tkalčič, M.
Personality & Emotional States:
Understanding Users' Music Listening Needs, Extended
Proceedings of the 22nd International Conference on User Modeling,
Adaptation and Personalization (UMAP 2015), Dublin, Ireland, June-July
2015.
[C95] Tkalčič, M., Ferwerda, B., Hauger, D., and Schedl, M.
Personality Correlates for Digital Concert
Program Notes, Proceedings of the 22nd International
Conference on User Modeling, Adaptation and Personalization (UMAP
2015), Dublin, Ireland, June-July 2015.
[C94] Ferwerda, B., Yang, E., Schedl, M., and Tkalčič, M.
Personality Traits Predict Music Taxonomy
Preferences, ACM CHI '15 Extended Abstracts on Human
Factors in Computing Systems (CHI 2015), Seoul, Republic of Korea,
April 2015.
[C93] Schedl, M., Hauger, D., Farrahi, K., and Tkalčič, M.
On the Influence of User Characteristics on
Music Recommendation, Proceedings of the 37th
European Conference on Information Retrieval (ECIR 2015), Vienna,
Austria, March-April 2015.
[C92] Gillhofer, M. and Schedl, M.
Iron Maiden While Jogging, Debussy for
Dinner? - An Analysis of Music Listening Behavior in Context,
Proceedings of the 21st International Conference on MultiMedia
Modeling (MMM 2015), Sydney, Australia, January 2015.
[C91] Schedl, M. and Tkalčič, M.
Genre-based Analysis of Social Media Data on
Music Listening Behavior, Proceedings of the 1st ACM
International Workshop on Internet-Scale Multimedia Management (ISMM
2014), Orlando, USA, November 2014.
[C90] Sjöberg, M., Mironică, I., Schedl, M., and Ionescu, B.
FAR at MediaEval 2014 Violent Scenes
Detection: A Concept-based Fusion Approach, Working
Notes Proceedings of MediaEval 2014: Multimedia Benchmark Workshop,
Barcelona, Spain, October 2014.
[C89] Sjöberg, M., Ionescu, B., Jiang Y.-G., Quang V.L., Schedl, M.,
and Demarty, C.-H.
The MediaEval 2014 Affect Task: Violent
Scenes Detection, Working Notes Proceedings of
MediaEval 2014: Multimedia Benchmark Workshop, Barcelona, Spain,
October 2014.
[C88] Farrahi, K., Schedl, M., Vall, A., Hauger, D., and Tkalčič, M.
Impact of Listening Behavior on Music
Recommendation, Proceedings of the 15th International
Society for Music Information Retrieval Conference (ISMIR 2014),
Taipei, Taiwan, October 2014.
[C87] Eghbalzadeh, H. and Schedl, M.
Formant Analysis of Altered Notes in a
Diatonic Harmonica, Proceedings of the International
Symposium on Musical Acoustics (ISMA 2014), Le Mans, France, July
2014.
[C86] Schedl, M.
Social Media and Classical Music? - A first
analysis within the PHENICX project: “Performances as Highly
Enriched aNd Interactive Concert eXperiences”,
SoMeRA'14: Proceedings of the First International Workshop on Social
Media Retrieval and Analysis, Gold Coast, Australia, July 2014.
[C85] Ferwerda, B. and Schedl, M.
Enhancing Music Recommender Systems with
Personality Information and Emotional States: A Proposal,
Proceedings of the 2nd Workshop on Emotions and Personality in
Personalized Services (EMPIRE 2014), Aalborg, Denmark, July 2014.
[C84] Tkalčič, M., Ferwerda, B., Schedl, M., Liem, C. Melenhorst, M.,
Odić, A., and Košir, A.
Using Social Media Mining for Estimating
Theory of Planned Behaviour Parameters, Proceedings
of the 2nd Workshop on Emotions and Personality in Personalized
Services (EMPIRE 2014), Aalborg, Denmark, July 2014.
[C83] Ferwerda, B., Schedl, M., and Tkalčič, M.
To Post or Not to Post: The Effects of
Persuasive Cues and Group Targeting Mechanisms on Posting Behavior,
Proceedings of the 6th ASE International Conference on Social
Computing (SocialCom 2014), Stanford, USA, May 2014.
Highlight
[C82] Schedl, M., Vall, A., and Farrahi, K.
User Geospatial Context for Music
Recommendation in Microblogs, Proceedings of the 37th
Annual International ACM SIGIR Conference on Research and Development
in Information Retrieval (SIGIR 2014), Gold Coast, Australia, July
2014.
Highlight
[C81] Schedl, M., Knees, P., and Shen, J.
SoMeRA 2014: Social Media Retrieval and
Analysis Workshop, Proceedings of the 37th Annual
International ACM SIGIR Conference on Research and Development in
Information Retrieval (SIGIR 2014), Gold Coast, Australia, July 2014.
[C80] Demarty, C.-H., Ionescu, B., Jiang Y.-G., Quang V.L., Schedl,
M., and Penet C.
Benchmarking Violent Scenes Detection in
Movies, Proceedings of the 12th International
Workshop on Content-Based Multimedia Indexing (CBMI 2014), Klagenfurt,
Austria, June 2014.
[C79] Schedl, M., Breitschopf, G., and Ionescu, B.
Mobile Music Genius: Reggae at the Beach,
Metal on a Friday Night?, Proceedings of the ACM
International Conference on Multimedia Retrieval (ICMR 2014), Glasgow,
Scotland, April 2014.
[C78] Schedl, M. and Schnitzer, D.
Location-Aware Music Artist Recommendation,
Proceedings of the 20th International Conference on MultiMedia
Modeling (MMM 2014), Dublin, Ireland, January 2014.
[C77] Schedl, M.
Ameliorating Music Recommendation:
Integrating Music Content, Music Context, and User Context for
Improved Music Retrieval and Recommendation,
Proceedings of the 11th International Conference on Advances in Mobile
Computing & Multimedia (MoMM 2013), Vienna, Austria, December
2013.
[C76] Schabetsberger, C. and Schedl, M.
Personalized Music Recommendation in a
Mobile Environment, Proceedings of the 11th
International Conference on Advances in Mobile Computing &
Multimedia (MoMM 2013), Vienna, Austria, December 2013.
[C75] Liem, C.C.S., Orio, N., Peeters, G., and Schedl, M.
MusiClef 2013: Soundtrack Selection for
Commercials, Working Notes Proceedings of MediaEval
2013: Multimedia Benchmark Workshop, Barcelona, Spain, October 2013.
[C74] Sjöberg, M., Schlüter, J., Ionescu, B., and Schedl, M.
FAR at MediaEval 2013: Concept-based Violent
Scenes Detection in Movies, Working Notes Proceedings
of MediaEval 2013: Multimedia Benchmark Workshop, Barcelona, Spain,
October 2013.
[C73] Demarty, C.-H., Pénet C., Schedl, M., Ionescu, B., Quang, V.L.,
and Jiang, Y.-G.
The MediaEval 2013 Affect Task: Violent
Scenes Detection, Working Notes Proceedings of
MediaEval 2013: Multimedia Benchmark Workshop, Barcelona, Spain,
October 2013.
[C72] Kaminskas, M., Ricci, F., and Schedl, M.
Location-aware Music Recommendation Using
Auto-Tagging and Hybrid Matching, Proceedings of the
7th ACM Conference on Recommender Systems (RecSys 2013), Hong Kong,
China, October 2013.
Highlight
[C71] Schedl, M., Gómez, E., and Goto, M.
Multimedia Information Retrieval: Music and
Audio, Proceedings of the 21st ACM International
Conference on Multimedia, Barcelona, Spain, October 2013.
[C70] Hauger, D., Schedl, M., Košir, A., and Tkalčič, M.
The Million Musical Tweets Dataset: What We
Can Learn From Microblogs, Proceedings of the 14th
International Society for Music Information Retrieval Conference
(ISMIR 2013), Curitiba, Brazil, November 2013.
[C69] Schedl, M. and Schnitzer, D.
Hybrid Retrieval Approaches to Geospatial
Music Recommendation, Proceedings of the 36th Annual
International ACM SIGIR Conference on Research and Development in
Information Retrieval (SIGIR 2013), Dublin, Ireland, July-August 2013.
Highlight
[C68] Knees, P. and Schedl, M.
Music Similarity and Retrieval,
Proceedings of the 36th Annual International ACM SIGIR Conference on
Research and Development in Information Retrieval (SIGIR 2013),
Dublin, Ireland, July-August 2013.
[C67] Gómez, E., Grachten, M., Hanjalic, A., Janer, J., Jordà, S.,
Julià, C.F., Liem, C., Martorell, A., Schedl, M., and Widmer, G.
PHENICX: Performances as Highly Enriched aNd
Interactive Concert Experiences, Proceedings of the
SMAC Stockholm Music Acoustics Conference 2013 and SMC Sound and Music
Computing Conference 2013, Stockholm, Sweden, July-August 2013.
[C66] Ionescu, B., Schlüter, J., Mironică, I., and Schedl, M.
A Naïve Mid-level Concept-based Fusion
Approach to Violence Detection in Hollywood Movies,
Proceedings of the ACM International Conference on Multimedia
Retrieval (ICMR 2013), Dallax, USA, 2013.
[C65] Schedl, M., Liem, C.C.S., Peeters, G., and Orio, N.
A Professionally Annotated and Enriched
Multimodal Data Set on Popular Music, Proceedings of
the 4th ACM Multimedia Systems Conference (MMSys 2013), Oslo, Norway,
February-March 2013.
[C64] Schedl, M.
Leveraging Microblogs for Spatiotemporal
Music Information Retrieval, Proceedings of the 35th
European Conference on Information Retrieval (ECIR 2013), Moscow,
Russia, March 2013.
[C63] Hauger, D. and Schedl, M.
Exploring Geospatial Music Listening
Patterns in Microblog Data, Proceedings of the 10th
International Workshop on Adaptive Multimedia Retrieval (AMR 2012),
Copenhagen, Denmark, October 2012.
[C62] Seyerlehner, K., Sonnleitner, R., Schedl, M., Hauger, D., and
Ionescu, B.
From Improved Auto-taggers to Improved Music
Similarity Measures, Proceedings of the 10th
International Workshop on Adaptive Multimedia Retrieval (AMR 2012),
Copenhagen, Denmark, October 2012.
[C61] Liem, C.C.S., Orio, N., Peeters, G., and Schedl, M.
Brave New Task: Musiclef Multimodal Music
Tagging, Working Notes Proceedings of MediaEval 2012:
Multimedia Benchmark Workshop, Pisa, Italy, October 2012.
[C60] Schlüter, J., Ionescu, B., Mironică, I., and Schedl, M.
ARF @ MediaEval 2012: An Uninformed Approach
to Violence Detection in Hollywood Movies, Working
Notes Proceedings of MediaEval 2012: Multimedia Benchmark Workshop,
Pisa, Italy, October 2012.
[C59] Ionescu, B., Mironică, I., Seyerlehner, K., Knees, P., Schlüter,
J., Schedl, M., Cucu, H., Buzo, A., and Lambert, P.
ARF @ MediaEval 2012: Multimodal Video
Classification, Working Notes Proceedings of
MediaEval 2012: Multimedia Benchmark Workshop, Pisa, Italy, October
2012.
[C58] Schedl, M. and Flexer, A.
Putting the User in the Center of Music
Information Retrieval, Proceedings of the 13th
International Society for Music Information Retrieval Conference
(ISMIR 2012), Porto, Portugal, October 2012.
Highlight
[C57] Böck, S., Krebs, F., and Schedl, M.
Evaluating the Online Capabilities of Onset
Detection Methods, Proceedings of the 13th
International Society for Music Information Retrieval Conference
(ISMIR 2012), Porto, Portugal, October 2012.
[C56] Urbano, J., Downie, J.S., McFee, B., and Schedl, M.
How Significant is Statistically
Significant? The Case of Audio Music Similarity and Retrieval,
Proceedings of the 13th International Society for Music Information
Retrieval Conference (ISMIR 2012), Porto, Portugal, October 2012.
Highlight
[C55] Orio, N., Liem, C.C.S., Peeters, G., and Schedl, M.
MusiClef: Multimodal Music Tagging Task,
Proceedings of the 3rd Conference on Multilingual and Multimodal
Information Access Evaluation (CLEF 2012), Rome, Italy, September
2012.
[C54] Böck, S., Arzt, A., Krebs, F., and Schedl, M.
Online Real-time Onset Detection with
Recurrent Neural Networks, Proceedings of the 15th
International Conference on Digital Audio Effects (DAFx 2012), York,
UK, September 2012.
[C53] Huber, S., Schedl, M., and Knees, P.
nepDroid: An Intelligent Mobile Music Player,
Proceedings of the ACM International Conference on Multimedia
Retrieval (ICMR 2012), Hong Kong, China, June 2012.
[C52] Schedl, M. and Hauger, D.
Mining Microblogs to Infer Music Artist
Similarity and Cultural Listening Patterns,
Proceedings of the 21st International World Wide Web Conference (WWW
2012): 4th International Workshop on Advances in Music Information
Research (AdMIRe 2012), Lyon, France, April 2012.
[C51] Urbano, J. and Schedl, M.
Towards Minimal Test Collections for
Evaluation of Audio Music Similarity and Retrieval,
Proceedings of the 21st International World Wide Web Conference (WWW
2012): 4th International Workshop on Advances in Music Information
Research (AdMIRe 2012), Lyon, France, April 2012.
[C50] Schedl, M., Hauger, D., and Schnitzer, D.
A Model for Serendipitous Music Retrieval,
Proceedings of the 16th International Conference on Intelligent User
Interfaces (IUI 2012): 2nd International Workshop on Context-awareness
in Retrieval and Recommendation (CaRR 2012), Lisbon, Portugal,
February 2012.
[C49] Böck, S. and Schedl, M.
Polyphonic Piano Note Transcription with
Recurrent Neural Networks, Proceedings of the 37th
International Conference on Acoustics, Speech, and Signal Processing
(ICASSP 2012), Kyoto, Japan, March 2012.
Highlight
[C48] Knees, P. and Schedl, M.
Towards Semantic Music Information
Extraction from the Web Using Rule Patterns and Supervised
Learning, Proceedings of the 2nd Workshop on Music
Recommendation and Discovery (WOMRAD 2011), Chicago, IL, USA, October
2011.
[C47] Cantador, I., Cortizo, J. C., Carrero, F. M., Troyano, J. A.,
Rosso, P., and Schedl, M.
Overview of the Third International Workshop
on Search and Mining User-generated Contents,
Proceedings of the 20th ACM International Conference on Information
and Knowledge Management (CIKM 2011), Glasgow, Scotland, October 2011.
[C46] Schedl, M., Knees, P., and Böck, S.
Investigating the Similarity Space of Music
Artists on the Micro-Blogosphere, Proceedings of the
12th International Society for Music Information Retrieval Conference
(ISMIR 2011), Miami, FL, USA, October 2011.
[C45] Schnitzer, D., Flexer, A., Schedl, M., and Widmer, G.
Using Mutual Proximity to Improve
Content-Based Audio Similarity, Proceedings of the
12th International Society for Music Information Retrieval Conference
(ISMIR 2011), Miami, FL, USA, October 2011.
[C44] Orio, N., Rizo, D., Miotto, R., Montecchio, N., Schedl, M., and
Lartillot, O.
MusiCLEF: A Benchmark Activity in Multimodal
Music Information Retrieval, Proceedings of the 12th
International Society for Music Information Retrieval Conference
(ISMIR 2011), Miami, FL, USA, October 2011.
[C43] Schedl, M. and Knees, P.
Personalization in Multimodal Music
Retrieval, Proceedings of the 9th Workshop on
Adaptive Multimedia Retrieval (AMR 2011), Barcelona, Spain, July 2011.
[C42] Böck, S. and Schedl, M.
Enhanced Beat Tracking with Context-Aware
Neural Networks, Proceedings of the 14th
International Conference on Digital Audio Effects (DAFx 2011), Paris,
France, September 2011.
[C41] Schedl, M.
Analyzing the Potential of Microblogs for
Spatio-Temporal Popularity Estimation of Music Artists,
Proceedings of the IJCAI 2011: International Workshop on Social Web
Mining, Barcelona, Spain, July 2011.
Highlight
[C40] Schedl, M., Höglinger, C., and Knees, P.
Large-Scale Music Exploration in
Hierarchically Organized Landscapes Using Prototypicality
Information, Proceedings of the ACM International
Conference on Multimedia Retrieval (ICMR 2011), Trento, Italy, April
2011.
Highlight
[C39] Seyerlehner, K., Widmer, G., Schedl, M., and Knees, P.
Automatic Music Tag Classification based on
Block-Level Features, Proceedings of the 7th Sound
and Music Computing Conference (SMC 2010), Barcelona, Spain, July
2010.
[C38] Schedl, M., Pohle, T., Koenigstein, N., and Knees, P.
What's Hot? Estimating Country-Specific
Artist Popularity, Proceedings of the 11th
International Society for Music Information Retrieval Conference
(ISMIR 2010), Utrecht, the Netherlands, August 2010.
Highlight
[C37] Schedl, M.
On the Use of Microblogging Posts for
Similarity Estimation and Artist Labeling,
Proceedings of the 11th International Society for Music Information
Retrieval Conference (ISMIR 2010), Utrecht, the Netherlands, August
2010.
Highlight
[C36] Knees, P., Schedl, M., Pohle, T., Seyerlehner, K., and Widmer,
G.
Supervised and Unsupervised Web Document
Filtering Techniques to Improve Text-Based Music Retrieval,
Proceedings of the 11th International Society for Music Information
Retrieval Conference (ISMIR 2010), Utrecht, the Netherlands, August
2010.
[C35] Schedl, M., Schiketanz, C., and Seyerlehner, K.
Country of Origin Determination via Web
Mining Techniques, Proceedings of the IEEE
International Conference on Multimedia and Expo (ICME 2010): 2nd
International Workshop on Advances in Music Information Research
(AdMIRe 2010), Singapore, July 2010.
[C34] Schedl, M., Seyerlehner, K., Schnitzer, D., Widmer, G., and
Schiketanz, C.
Three Web-based Heuristics to Determine a
Person's or Institution's Country of Origin,
Proceedings of the 33th Annual International ACM SIGIR Conference on
Research and Development in Information Retrieval (SIGIR 2010),
Geneva, Switzerland, July 2010.
Highlight
[C33] Schedl, M. and Knees, P.
Context-based Music Similarity Estimation,
Proceedings of the 3rd International Workshop on Learning the
Semantics of Audio Signals (LSAS 2009), Graz, Austria, December 2009.
[C32] Knees, P., Pohle, T., Schedl, M., Schnitzer, D., Seyerlehner,
K., and Widmer, G.
Augmenting Text-Based Music Retrieval with
Audio Similarity, Proceedings of the 10th
International Conference on Music Information Retrieval (ISMIR 2009),
Kobe, Japan, October 2009.
[C31] Pohle, T., Schnitzer, D., Schedl, M., Knees, P., and Widmer, G.
On Rhythm and General Music Similarity,
Proceedings of the 10th International Conference on Music Information
Retrieval (ISMIR 2009), Kobe, Japan, October 2009.
[C30] Grachten, M., Schedl, M., Pohle, T., and Widmer, G.
The ISMIR Cloud: A Decade of ISMIR
Conferences at Your Fingertips, Proceedings of the
10th International Conference on Music Information Retrieval (ISMIR
2009), Kobe, Japan, October 2009.
[C29] Schedl, M. and Pohle, T.
Exploring Music Artists via Descriptive
Terms and Multimedia Content, Proceedings of the 3rd
International Conference on Semantic and Digital Media Technologies
(SAMT 2008), Koblenz, Germany, December 2008.
[C28] Dopler, M., Schedl, M., Pohle, T., and Knees, P.
Accessing Music Collections via
Representative Cluster Prototypes in a Hierarchical Organization
Scheme, Proceedings of the 9th International
Conference on Music Information Retrieval (ISMIR 2008), Philadelphia,
PA, USA, September 2008.
[C27] Knees, P., Schedl, M., and Pohle, T.
A Deeper Look into Web-based Classification
of Music Artists, Proceedings of the 2nd Workshop on
Learning the Semantics of Audio Signals (LSAS 2008), Paris, France,
June 2008.
[C26] Schedl, M. and Knees, P.
Investigating Different Term Weighting
Functions for Browsing Artist-Related Web Pages by Means of Term
Co-Occurrences, Proceedings of the 2nd Workshop on
Learning the Semantics of Audio Signals (LSAS 2008), Paris, France,
June 2008.
[C25] Schedl, M., Knees, P., Pohle, T., and Widmer, G.
Towards an Automatically Generated Music
Information System via Web Content Mining,
Proceedings of the 30th European Conference on Information Retrieval
(ECIR 2008), Glasgow, Scotland, March-April 2008.
Highlight
[C24] Knees, P., Pohle, T., Schedl, M., Schnitzer, D., and Seyerlehner
K.
A Document-centered Approach to a Natural
Language Music Search Engine, Proceedings of the 30th
European Conference on Information Retrieval (ECIR 2008), Glasgow,
Scotland, March-April 2008.
[C23] Schedl, M., Knees, P., Widmer, G., Seyerlehner, K., and Pohle,
T.
Browsing the Web Using Stacked
Three-Dimensional Sunbursts to Visualize Term Co-Occurrences and
Multimedia Content, Proceedings of the IEEE
Visualization 2007 Conference (Vis 2007), Sacramento, California, USA,
October 2007.
Highlight
[C22] Geleijnse, G., Schedl, M., and Knees, P.
The Quest for Ground Truth in Musical Artist
Tagging in the Social Web Era, Proceedings of the 8th
International Conference on Music Information Retrieval (ISMIR 2007),
Vienna, Austria, September 2007.
[C21] Pohle, T., Knees, P., Schedl, M., and Widmer, G.
Meaningfully Browsing Music Services,
Proceedings of the 8th International Conference on Music Information
Retrieval (ISMIR 2007), Vienna, Austria, September 2007.
[C20] Schedl, M., Widmer, G., Pohle, T., and Seyerlehner, K.
Web-based Detection of Music Band Members
and Line-Up, Proceedings of the 8th International
Conference on Music Information Retrieval (ISMIR 2007), Vienna,
Austria, September 2007.
[C19] Seyerlehner, K., Pohle, T., Schedl, M., and Widmer, G.
Automatic Music Detection in Television
Productions, Proceedings of the 10th International
Conference on Digital Audio Effects (DAFx 2007), Bordeaux, France,
September 2007.
[C18] Schedl, M. and Widmer, G.
Automatically Detecting Members and
Instrumentation of Music Bands via Web Content Mining,
Proceedings of the 5th Workshop on Adaptive Multimedia Retrieval (AMR
2007), Paris, France, July 2007.
[C17] Knees, P., Pohle, T., Schedl, M., and Widmer, G.
A Music Search Engine Built upon Audio-based
and Web-based Similarity Measures, Proceedings of the
30th Annual International ACM SIGIR Conference on Research and
Development in Information Retrieval (SIGIR 2007), Amsterdam, the
Netherlands, July 2007.
Highlight
[C16] Pohle, T., Knees, P., Schedl, M., and Widmer, G.
Building an Interactive Next-Generation
Artist Recommender Based on Automatically Derived High-Level
Concepts, Proceedings of the 5th International
Workshop on Content-Based Multimedia Indexing (CBMI 2007), Bordeaux,
France, June 2007.
[C15] Schedl, M., Knees, P., Seyerlehner, K., and Pohle, T.
The CoMIRVA Toolkit for Visualizing
Music-Related Data, Proceedings of the 9th
Eurographics/IEEE VGTC Symposium on Visualization (EuroVis 2007),
Norrköping, Sweden, May 2007.
[C14] Knees, P., Pohle, T., Schedl, M., and Widmer, G.
Automatically Describing Music on a Map,
Proceedings of the 1st Workshop on Learning the Semantics of Audio
Signals (LSAS 2006), Athens, Greece, December 2006.
[C13] Pohle, T., Schedl, M., Knees, P., and Widmer, G.
Automatically Adapting the Structure of
Audio Similarity Spaces, Proceedings of the 1st
Workshop on Learning the Semantics of Audio Signals (LSAS 2006),
Athens, Greece, December 2006.
[C12] Schedl, M., Knees, P., and Widmer, G.
Investigating Web-Based Approaches to
Revealing Prototypical Music Artists in Genre Taxonomies,
Proceedings of the 1st IEEE International Conference on Digital
Information Management (ICDIM 2006), Bangalore, India, December 2006.
[C11] Knees, P., Pohle, T., Schedl, M., and Widmer, G.
Combining Audio-based Similarity with
Web-based Data to Accelerate Automatic Music Playlist Generation,
Proceedings of the 8th ACM SIGMM International Workshop on Multimedia
Information Retrieval (MIR 2006), Santa Barbara, California, USA,
October 2006.
[C10] Knees, P., Schedl, M., Pohle, T., and Widmer, G.
An Innovative Three-Dimensional User
Interface for Exploring Music Collections Enriched with
Meta-Information from the Web, Proceedings of the ACM
Multimedia 2006, Santa Barbara, California, USA, October 2006.
Runner-up for Best Paper Award
Highlight
[C9] Pohle, T., Schedl, M., Knees, P., and Widmer, G.
Independent Component Analysis for Music
Similarity Computation, Proceedings of the 7th
International Conference on Music Information Retrieval (ISMIR 2006),
Victoria, Canada, October 2006.
[C8] Schedl, M., Pohle, T., Knees, P., and Widmer, G.
Assigning and Visualizing Music Genres by
Web-based Co-Occurrence Analysis, Proceedings of the
7th International Conference on Music Information Retrieval (ISMIR
2006), Victoria, Canada, October 2006.
[C7] Schedl, M., Knees, P., Pohle, T., and Widmer, G.
Towards Automatic Retrieval of Album Covers,
Proceedings of the 28th European Conference on Information Retrieval
(ECIR 2006), London, UK, April 2006.
[C6] Schedl, M., Knees, P., and Widmer, G.
Interactive Poster: Using CoMIRVA for
Visualizing Similarities Between Music Artists,
Proceedings of the IEEE Visualization 2005 (Vis 2005), Minneapolis,
Minnesota, USA, October 2005.
[C5] Schedl, M., Knees, P., and Widmer, G.
Improving Prototypical Artist Detection by
Penalizing Exorbitant Popularity, Proceedings of the
3rd International Symposium on Computer Music Modeling and Retrieval
(CMMR 2005), Pisa, Italy, September 2005.
[C4] Schedl, M., Knees, P., and Widmer, G.
Discovering and Visualizing Prototypical
Artists by Web-based Co-Occurrence Analysis,
Proceedings of the 6th International Conference on Music Information
Retrieval (ISMIR 2005), London, UK, September 2005.
[C3] Knees, P., Schedl, M., and Widmer, G.
Multiple Lyrics Alignment: Automatic
Retrieval of Song Lyrics, Proceedings of the 6th
International Conference on Music Information Retrieval (ISMIR 2005),
London, UK, September 2005.
[C2] Widmer, G., Dixon, S., Flexer, A., Goebl, W., Madsen, S.T.,
Pampalk, E., Pohle, T., Schedl, M., Tobudic, A.
Studio Report: The Machine Learning and
Intelligent Music Processing Group at the Austrian Research
Institute for Artificial Intelligence (OFAI),
Proceedings of the 2005 International Computer Music Conference (ICMC
2005), Barcelona, Spain, September 2005.
[C1] Schedl, M., Knees, P., and Widmer, G.
A Web-Based Approach to Assessing Artist
Similarity using Co-Occurrences, Proceedings of the
4th International Workshop on Content-Based Multimedia Indexing (CBMI
2005), Riga, Latvia, June 2005.