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Conference Paper

M. Schedl, “Ameliorating Music Recommendation: Integrating Music Content, Music Context, and User Context for Improved Music Retrieval and Recommendation”, in Proceedings of the 11th International Conference on Advances in Mobile Computing & Multimedia (MoMM 2013), Vienna, Austria, 2013.

A. Sarasua and Guaus, E., “Beat Tracking from Conducting Gestural Data: A Multi-Subject Study”, in Proceedings of the 2014 International Workshop on Movement and Computing, Paris, France, 2014.

moco-ready.pdf (697.19 KB)

A. Sarasua, “Context-Aware Gesture Recognition in Classical Music Conducting”, in ACM Multimedia, Barcelona, 2013.

acmm_sarasua.pdf (705.73 KB)

Á. Sarasúa and Guaus, E., “Dynamics in Music Conducting: A Computational Comparative Study Among Subjects”, in Proceedings of the International Conference on New Interfaces for Musical Expression, London, United Kingdom, 2014.

464_paper.pdf (1.33 MB)

S. Böck, Schlüter, J., and Widmer, G., “Enhanced peak picking for onset detection with recurrent neural networks”, in Proceedings of the 6th International Workshop on Machine Learning and Music, Prague, Czech Republic, 2013.

Boeck_MML13.pdf (178.65 KB)

M. Schedl and Tkalčič, M., “Genre-based Analysis of Social Media Data on Music Listening Behavior”, in Proceedings of the 1st ACM International Workshop on Internet-Scale Multimedia Management (ISMM 2014), Orlando, FL, USA, 2014.

wismm01-schedl.pdf (378.16 KB)

M. Schedl and Schnitzer, D., “Hybrid Retrieval Approaches to Geospatial Music Recommendation”, in Proceedings of the 35th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Dublin, Ireland, 2013.

sigir2013.pdf (311.65 KB)

K. Farrahi, Schedl, M., Vall, A., Hauger, D., and Tkalčič, M., “Impact of Listening Behavior on Music Recommendation”, in Proceedings of the 15th International Society for Music Information Retrieval Conference (ISMIR 2014), Taipei, Taiwan, 2014.

ismir_14.pdf (1.06 MB)

A. Vall, Skowron, M., Knees, P., and Schedl, M., “Improving Music Recommendations with a Weighted Factorization of the Tagging Activity”, in Proceedings of the 16th International Society for Music Information Retrieval Conference (ISMIR), Malaga, Spain, 2015.

vall_ismir_2015.pdf (228 KB)

M. Schedl, Hauger, D., Farrahi, K., and Tkalčič, M., “On the Influence of User Characteristics on Music Recommendation”, in Proceedings of the 37th European Conference on Information Retrieval (ECIR 2015), Vienna, Austria, 2015.

ecir_2015_final.pdf (259.24 KB)

C. C. S. Liem, van der Sterren, R., van Tilburg, M., Sarasúa, Á., Bosch, J. J., Janer, J., Melenhorst, M. S., Gómez, E., and Hanjalic, A., “Innovating the Classical Music Experience in the PHENICX Project: Use Cases and Initial User Feedback”, in 1st International Workshop on Interactive Content Consumption (WSICC) at EuroITV 2013, Como, Italy, 2013.

phenicx_euroitv13wsicc.pdf (86.1 KB)

M. Gillhofer and Schedl, M., “Iron Maiden while jogging, Debussy for dinner? - An analysis of music listening behavior in context”, in Proceedings of the 21st International Conference on MultiMedia Modeling (MMM 2015), Sydney, Australia, 2015.

mmm_2015_final.pdf (315.8 KB)

H. Eghbal-zadeh, Lehner, B., Schedl, M., and Widmer, G., “I-Vectors for Timbre-Based Music Similarity and Music Artist Classification”, in Proceedings of the 16th International Society for Music Information Retrieval Conference (ISMIR), Malaga, Spain, 2015.

eghbal-zadeh_ismir_2015.pdf (190.26 KB)

M. Schedl, “Listener-aware Music Recommendation from Sensor and Social Media Data”, in Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2015), Porto, Portugal, 2015.

schedl_ecmlpkdd_2015.pdf (143.61 KB)

M. Schedl, “Listener-aware Music Search and Recommendation”, in Proceedings of the 6th International Workshop on Mining Ubiquitous and Social Environments (MUSE 2015), Porto, Portugal, 2015.

M. Schedl and Schnitzer, D., “Location-Aware Music Artist Recommendation”, in Proceedings of the 20th International Conference on MultiMedia Modeling (MMM 2014), Dublin, Ireland, 2014.

M. Kaminskas, Ricci, F., and Schedl, M., “Location-aware Music Recommendation Using Auto-Tagging and Hybrid Matching”, in Proceedings of the 7th ACM Conference on Recommender Systems (RecSys 2013), Hong Kong, China, 2013.

D. Hauger, Schedl, M., Košir, A., and Tkalčič, M., “The Million Musical Tweets Dataset: What Can We Learn From Microblogs”, in Proceedings of the 14th International Society for Music Information Retrieval Conference (ISMIR 2013), Curitiba, Brazil, 2013.

M. Schedl, Breitschopf, G., and Ionescu, B., “Mobile Music Genius: Reggae at the Beach, Metal on a Friday Night?”, in Proceedings of the 2014 ACM International Conference on Multimedia Retrieval (ICMR), Glasgow, UK, 2014.

213-Schedl.pdf (485.98 KB)

M. Schedl, Gómez, E., and Goto, M., “Multimedia Information Retrieval: Music and Audio”, in Proceedings of the 21st ACM International Conference on Multimedia, Barcelona, Spain, 2013.

P. Knees and Schedl, M., “Music Retrieval and Recommendation – A Tutorial Overview”, in Proceedings of the 38th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Santiago, Chile, 2015.

knees_sigir_2015.pdf (173.28 KB)

J. Schlüter and Böck, S., “Musical Onset Detection with Convolutional Neural Networks”, in Proceedings of the 6th International Workshop on Machine Learning and Music, Prague, Czech Republic, 2013.

Schlueter_MML13.pdf (321.21 KB)

B. Ferwerda, Schedl, M., and Tkalčič, M., “Personality & Emotional States: Understanding Users’ Music Listening Needs”, in Extended Proceedings of the 22nd International Conference on User Modeling, Adaptation and Personalization (UMAP 2015), Dublin, Ireland, 2015.

umap2015_submission_3.pdf (191.58 KB)

B. Ferwerda, Yang, E., Schedl, M., and Tkalčič, M., “Personality Traits Predict Music Taxonomy Preferences”, in Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems - CHI EA '15, 2015.

wip271-ferwerdaa.pdf (207.48 KB)

M. Schedl, Melenhorst, M., Liem, C. C. S., Martorell, A., Mayor, Ó., and Tkalčič, M., “A Personality-based Adaptive System for Visualizing Classical Music Performances”, in Proceedings of the 7th ACM Multimedia Systems Conference (MMSys), Klagenfurt, Austria, 2016.

C. Schabetsberger and Schedl, M., “Personalized Music Recommendation in a Mobile Environment”, in Proceedings of the 11th International Conference on Advances in Mobile Computing & Multimedia (MoMM 2013), Vienna, Austria, 2013.

M. Tkalčič, Schedl, M., Liem, C. C. S., and Melenhorst, M., “Personalized Retrieval and Browsing of Classical Music and Supporting Multimedia Material”, in Proceedings of the ACM International Conference on Multimedia Retrieval (ICMR), New York, USA, 2016.

C. C. S. Liem, Gómez, E., and Schedl, M., “PHENICX: Innovating the Classical Music Experience”, in Proceedings of the IEEE International Conference on Multimedia and Expo (ICME 2015), Torino, Italy, 2015.

phenicx_icme_preprint.pdf (4.59 MB)

E. Gómez, Grachten, M., Hanjalic, A., Janer, J., Jordà, S., Julià, C. F., Liem, C. C. S., Martorell, A., Schedl, M., and Widmer, G., “PHENICX: Performances as Highly Enriched aNd Interactive Concert Experiences”, in SMAC Stockholm Music Acoustics Conference 2013 and SMC Sound and Music Computing Conference 2013, Stockholm, Sweden, 2013.

PHENICX-smac2013-6.0.pdf (165.35 KB)

M. Schedl, “Social Media and Classical Music? – A first analysis within the PHENICX project: “Performances as Highly Enriched aNd Interactive Concert eXperiences””, in SoMeRA'14: Proceedings of the First International Workshop on Social Media Retrieval and Analysis, Gold Coast, Australia, 2014.

somera_phenicx_2014.pdf (150.36 KB)

M. Schedl, Knees, P., and Shen, J., “SoMeRA 2014: Social Media Retrieval and Analysis Workshop”, in Proceedings of the 37th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Gold Coast, Australia, 2014.

wk6some-schedl.pdf (29.43 KB)

M. Schedl and Hauger, D., “Tailoring Music Recommendations to Users by Considering Diversity, Mainstreaminess, and Novelty”, in Proceedings of the 38th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Santiago, Chile, 2015.

schedl_sigir_2015.pdf (256.16 KB)

A. Arzt, Widmer, G., and Sonnleitner, R., “Tempo- and Transposition-invariant Identification of Piece and Score Position”, in Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), 2014.

H. Eghbal-zadeh, Schedl, M., and Widmer, G., “Timbral Modeling for Music Artist Recognition Using I-vectors”, in Proceedings of the 23rd European Signal Processing Conference (EUSIPCO 2015), Nice, France, 2015.

eghbal-zadeh_eusipco_2015.pdf (95.91 KB)

B. Ferwerda, Schedl, M., and Tkalčič, M., “To Post or Not to Post: The Effects of Persuasive Cues and Group Targeting Mechanisms on Posting Behavior”, in Proceedings of the 6th ASE International Conference on Social Computing (SocialCom 2014), Stanford, USA, 2014.

SocialCom_final.pdf (334.89 KB)

M. Schedl, “Towards Personalizing Classical Music Recommendations”, in SoMeRA 2015: Proceedings of the Second International Workshop on Social Media Retrieval and Analysis, Atlantic City, USA, 2015.

schedl_somera_2015.pdf (151.98 KB)

M. Schedl, Vall, A., and Farrahi, K., “User Geospatial Context for Music Recommendation in Microblogs”, in Proceedings of the 37th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Gold Coast, Australia, 2014.

sp136-schedl.pdf (116.59 KB)

B. Ferwerda, Schedl, M., and Tkalčič, M., “Using Instagram Picture Features to Predict Users' Personality”, in Proceedings of the 22nd International Conference on MultiMedia Modeling (MMM 2016), Miami, USA, 2016.

ferwerda_mmm_2016.pdf (259.12 KB)

B. Ferwerda and Schedl, M., “Using Social Media Mining for Estimating Theory of Planned Behaviour Parameters”, in Proceedings of the 2nd Workshop on Emotions and Personality in Personalized Services (EMPIRE 2014), Aalborg, Denmark, 2014.

UMAP.pdf (192.14 KB)

M. Tkalčič, Ferwerda, B., Schedl, M., Liem, C. C. S., Melenhorst, M. S., Odić, A., and Košir, A., “Using Social Media Mining for Estimating Theory of Planned Behaviour Parameters”, in Proceedings of the 2nd Workshop on Emotions and Personality in Personalized Services (EMPIRE 2014), Aalborg, Denmark, 2014.

2014_Empire_Phenicx.pdf (220.3 KB)

Conference Proceedings

M. Schedl, 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, 2016.

eroica-study_ismir_2016.pdf (125.97 KB)

J. Schlüter and Böck, S., “Improved musical onset detection with convolutional neural networks”, Proceedings of the 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014). 2014.

A. Sarasua, Caramiaux, B., and Tanaka, A., “Machine Learning of Personal Gesture Variation in Music Conducting”, CHI - Human Factors in Computing Systems. ACM Press, San Jose, CA, pp. 3428-3432, 2016.

Journal Article

M. Schedl, Gómez, E., and Urbano, J., “Music Information Retrieval: Recent Developments and Applications”, {Foundations and Trends in Information Retrieval}, vol. 8, pp. 127–261, 2014.

article_mir_online.pdf (6.4 MB)

M. Schedl, Flexer, A., and Urbano, J., “The Neglected User in Music Information Retrieval Research”, Journal of Intelligent Information Systems, vol. 41, pp. 523–539, 2013.

M. Tkalčič, Ferwerda, B., Hauger, D., and Schedl, M., “Personality Correlates for Digital Concert Program Notes”, UMAP 2015, Springer LNCS 9146, 2015.

2015_Tkalcic_UMAP.pdf (4.81 MB)