Gerhard Widmer

	2009
91		Gerhard Widmer: Dealing with Music in Intelligent Ways. ISMIS 2009: 2
90		Klaus Seyerlehner, Arthur Flexer, Gerhard Widmer: On the limitations of browsing top-N recommender systems. RecSys 2009: 321-324
	2008
89		Peter Knees, Tim Pohle, Gerhard Widmer: Sound/tracks: real-time synaesthetic sonification of train journeys. ACM Multimedia 2008: 1117-1118
88		Tim Pohle, Peter Knees, Gerhard Widmer: Sound/tracks: real-time synaesthetic sonification and visualisation of passing landscapes. ACM Multimedia 2008: 599-608
87		Andreas Arzt, Gerhard Widmer, Simon Dixon: Automatic Page Turning for Musicians via Real-Time Machine Listening. ECAI 2008: 241-245
86		Markus Schedl, Peter Knees, Tim Pohle, Gerhard Widmer: Towards an Automatically Generated Music Information System Via Web Content Mining. ECIR 2008: 585-590
85		Christoph Anthes, Vassil N. Alexandrov, Dieter Kranzlmüller, Jens Volkert, Gerhard Widmer: Collaborative and Cooperative Environments. ICCS (3) 2008: 379-380
84		Craig Saunders, David R. Hardoon, John Shawe-Taylor, Gerhard Widmer: Using string kernels to identify famous performers from their playing style. Intell. Data Anal. 12(4): 425-440 (2008)
	2007
83		Peter Knees, Gerhard Widmer: Searching for Music Using Natural Language Queries and Relevance Feedback. Adaptive Multimedia Retrieval 2007: 109-121
82		Markus Schedl, Gerhard Widmer: Automatically Detecting Members and Instrumentation of Music Bands Via Web Content Mining. Adaptive Multimedia Retrieval 2007: 122-133
81		Søren Tjagvad Madsen, Gerhard Widmer: Towards a Computational Model of Melody Identification in Polyphonic Music. IJCAI 2007: 459-464
80		Dominik Schnitzer, Tim Pohle, Peter Knees, Gerhard Widmer: One-touch access to music on mobile devices. MUM 2007: 103-109
79		Peter Knees, Tim Pohle, Markus Schedl, Gerhard Widmer: A music search engine built upon audio-based and web-based similarity measures. SIGIR 2007: 447-454
78		Tim Pohle, Peter Knees, Markus Schedl, Elias Pampalk, Gerhard Widmer: "Reinventing the Wheel": A Novel Approach to Music Player Interfaces. IEEE Transactions on Multimedia 9(3): 567-575 (2007)
	2006
77		Peter Knees, Markus Schedl, Tim Pohle, Gerhard Widmer: An innovative three-dimensional user interface for exploring music collections enriched. ACM Multimedia 2006: 17-24
76		Markus Schedl, Peter Knees, Tim Pohle, Gerhard Widmer: Towards Automatic Retrieval of Album Covers. ECIR 2006: 531-534
75		Markus Schedl, Peter Knees, Gerhard Widmer: Investigating Web-Based Approaches to Revealing Prototypical Music Artists in Genre Taxonomies. ICDIM 2006: 519-524
74		Arthur Flexer, Fabien Gouyon, Simon Dixon, Gerhard Widmer: Probabilistic Combination of Features for Music Classification. ISMIR 2006: 111-114
73		Tim Pohle, Peter Knees, Markus Schedl, Gerhard Widmer: Independent Component Analysis for Music Similarity Computation. ISMIR 2006: 228-233
72		Markus Schedl, Tim Pohle, Peter Knees, Gerhard Widmer: Assigning and Visualizing Music Genres by Web-based Co-Occurrence Analysis. ISMIR 2006: 260-265
71		Søren Tjagvad Madsen, Gerhard Widmer: Separating voices in MIDI. ISMIR 2006: 57-60
70		Peter Knees, Tim Pohle, Markus Schedl, Gerhard Widmer: Combining audio-based similarity with web-based data to accelerate automatic music playlist generation. Multimedia Information Retrieval 2006: 147-154
69		Alexander K. Seewald, Christian Holzbaur, Gerhard Widmer: Evaluation of term utility functions for very short multidocument summaries. Applied Artificial Intelligence 20(1): 57-77 (2006)
68		Søren Tjagvad Madsen, Gerhard Widmer: Exploring Pianist Performance Styles with Evolutionary String Matching. International Journal on Artificial Intelligence Tools 15(4): 495-514 (2006)
67		Asmir Tobudic, Gerhard Widmer: Relational IBL in classical music. Machine Learning 64(1-3): 5-24 (2006)
66		Gerhard Widmer: Guest editorial: Machine learning in and for music. Machine Learning 65(2-3): 343-346 (2006)
65		Gerhard Widmer: Guest Editorial: Machine learning in and for music. Machine Learning 65(2-3): 347 (2006)
	2005
64		Markus Schedl, Peter Knees, Gerhard Widmer: Improving Prototypical Artist Detection by Penalizing Exorbitant Popularity. CMMR 2005: 196-200
63		Elias Pampalk, Arthur Flexer, Gerhard Widmer: Hierarchical Organization and Description of Music Collections at the Artist Level. ECDL 2005: 37-48
62		Søren Tjagvad Madsen, Gerhard Widmer: Evolutionary Search for Musical Parallelism. EvoWorkshops 2005: 488-497
61		Søren Tjagvad Madsen, Gerhard Widmer: Exploring Similarities in Music Performances with an Evolutionary Algorithm. FLAIRS Conference 2005: 80-85
60		Markus Schedl, Peter Knees, Gerhard Widmer: Interactive Poster: Using CoMIRVA for Visualizing Similarities Between Music Artists. IEEE Visualization 2005: 89
59		Asmir Tobudic, Gerhard Widmer: Learning to Play Like the Great Pianists. IJCAI 2005: 871-876
58		Gerhard Widmer: Why Computers Need to Learn About Music. ILP 2005: 414
57		Markus Schedl, Peter Knees, Gerhard Widmer: Discovering and Visualizing Prototypical Artists by Web-Based Co-Occurrence Analysis. ISMIR 2005: 21-28
56		Arthur Flexer, Elias Pampalk, Gerhard Widmer: Novelty Detection Based on Spectral Similarity of Songs. ISMIR 2005: 260-263
55		Simon Dixon, Gerhard Widmer: MATCH: A Music Alignment Tool Chest. ISMIR 2005: 492-497
54		Peter Knees, Markus Schedl, Gerhard Widmer: Multiple Lyrics Alignment: Automatic Retrieval of Song Lyrics. ISMIR 2005: 564-569
53		Elias Pampalk, Arthur Flexer, Gerhard Widmer: Improvements of Audio-Based Music Similarity and Genre Classificaton. ISMIR 2005: 628-633
52		Elias Pampalk, Tim Pohle, Gerhard Widmer: Dynamic Playlist Generation Based on Skipping Behavior. ISMIR 2005: 634-637
51		Efstathios Stamatatos, Gerhard Widmer: Automatic identification of music performers with learning ensembles. Artif. Intell. 165(1): 37-56 (2005)
50		Gerhard Widmer: Musikalisch intelligente Computer Anwendungen in der klassischen und populären Musik. Informatik Spektrum 28(5): 363-368 (2005)
	2004
49		Gerhard Widmer, Patrick Zanon: Automatic Recognition of Famous Artists by Machine. ECAI 2004: 1109-1110
48		Asmir Tobudic, Gerhard Widmer: Case-Based Relational Learning of Expressive Phrasing in Classical Music. ECCBR 2004: 419-433
47		Craig Saunders, David R. Hardoon, John Shawe-Taylor, Gerhard Widmer: Using String Kernels to Identify Famous Performers from Their Playing Style. ECML 2004: 384-395
46		Peter Knees, Elias Pampalk, Gerhard Widmer: Artist Classification with Web-Based Data. ISMIR 2004
45		Simon Dixon, Fabien Gouyon, Gerhard Widmer: Towards Characterisation of Music via Rhythmic Patterns. ISMIR 2004
44		Elias Pampalk, Gerhard Widmer, Alvin T. S. Chan: A new approach to hierarchical clustering and structuring of data with Self-Organizing Maps. Intell. Data Anal. 8(2): 131-149 (2004)
	2003
43		Asmir Tobudic, Gerhard Widmer: Playing Mozart Phrase by Phrase. ICCBR 2003: 552-566
42		Asmir Tobudic, Gerhard Widmer: Relational IBL in Music with a New Structural Similarity Measure. ILP 2003: 365-382
41		Simon Dixon, Elias Pampalk, Gerhard Widmer: Classification of dance music by periodicity patterns. ISMIR 2003
40		Elias Pampalk, Simon Dixon, Gerhard Widmer: Exploring music collections by browsing different views. ISMIR 2003
39		Elias Pampalk, Werner Goebl, Gerhard Widmer: Visualizing changes in the structure of data for exploratory feature selection. KDD 2003: 157-166
38		Gerhard Widmer, Simon Dixon, Werner Goebl, Elias Pampalk, Asmir Tobudic: In Search of the Horowitz Factor. AI Magazine 24(3): 111-130 (2003)
37		Gerhard Widmer: Discovering simple rules in complex data: A meta-learning algorithm and some surprising musical discoveries. Artif. Intell. 146(2): 129-148 (2003)
	2002
36		Gerhard Widmer: In Search of the Horowitz Factor: Interim Report on a Musical Discovery Project. ALT 2002: 41
35		Gerhard Widmer: In Search of the Horowitz Factor: Interim Report on a Musical Discovery Project. Discovery Science 2002: 13-21
34		Efstathios Stamatatos, Gerhard Widmer: Music Performer Recognition Using an Ensemble of Simple Classifiers. ECAI 2002: 335-339
33		Marcus-Christopher Ludl, Gerhard Widmer: Towards a Simple Clustering Criterion Based on Minimum Length Encoding. ECML 2002: 258-269
32		Simon Dixon, Werner Goebl, Gerhard Widmer: Real Time Tracking and Visualisation of Musical Expression. ICMAI 2002: 58-68
31		Björn Bringmann, Stefan Kramer, Friedrich Neubarth, Hannes Pirker, Gerhard Widmer: Transformation-Based Regression. ICML 2002: 59-66
	2001
30		Gerhard Widmer: Discovering Strong Principles of Expressive Music Performance with the PLCG Rule Learning Strategy. ECML 2001: 552-563
29		Gerhard Widmer: The Musical Expression Project: A Challenge for Machine Learning and Knowledge Discovery. ECML 2001: 603-614
28		Alexander K. Seewald, Johann Petrak, Gerhard Widmer: Hybrid Decision Tree Learners with Alternative Leaf Classifiers: An Empirical Study. FLAIRS Conference 2001: 407-411
27		Gerhard Widmer: The Musical Expression Project: A Challenge for Machine Learning and Knowledge Discovery. PKDD 2001: 495-506
26		Gerhard Widmer: Using AI and machine learning to study expressive music performance: project survey and first report. AI Commun. 14(3): 149-162 (2001)
25		Stefan Kramer, Gerhard Widmer, Bernhard Pfahringer, Michael de Groeve: Prediction of Ordinal Classes Using Regression Trees. Fundam. Inform. 47(1-2): 1-13 (2001)
	2000
24		Marcus-Christopher Ludl, Gerhard Widmer: Relative Unsupervised Discretization for Regresseion Problems. ECML 2000: 246-253
23		Stefan Kramer, Gerhard Widmer, Bernhard Pfahringer, Michael de Groeve: Prediction of Ordinal Classes Using Regression Trees. ISMIS 2000: 426-434
22		Marcus-Christopher Ludl, Gerhard Widmer: Relative Unsupervised Discretization for Association Rule Mining. PKDD 2000: 148-158
21		Gerhard Widmer: On the Potential of Machine Learning for Music Research. Readings in Music and Artificial Intelligence 2000: 69-84
20		Klaus Kovar, Johannes Fürnkranz, Johann Petrak, Bernhard Pfahringer, Robert Trappl, Gerhard Widmer: Searching for Patterns in Political Event Sequences: Experiments with the Keds Database. Cybernetics and Systems 31(6): 649-668 (2000)
	1998
19		Gerhard Widmer, Miroslav Kubat: Guest Editors' Introduction. Machine Learning 32(2): 83-84 (1998)
	1997
18		Maarten van Someren, Gerhard Widmer: Machine Learning: ECML-97, 9th European Conference on Machine Learning, Prague, Czech Republic, April 23-25, 1997, Proceedings Springer 1997
17		Gerhard Widmer: Tracking Context Changes through Meta-Learning. Machine Learning 27(3): 259-286 (1997)
	1996
16		Gerhard Widmer: What Is It That Makes It a Horowitz? Empirical Musicology via Machine Learning. ECAI 1996: 458-462
15		Gerhard Widmer: Recognition and Exploitation of Contextual CLues via Incremental Meta-Learning. ICML 1996: 525-533
14		Gerhard Widmer, Miroslav Kubat: Learning in the Presence of Concept Drift and Hidden Contexts. Machine Learning 23(1): 69-101 (1996)
	1995
13		Miroslav Kubat, Gerhard Widmer: Adapting to Drift in Continuous Domains (Extended Abstract). ECML 1995: 307-310
	1994
12		Gerhard Widmer: The Synergy of Music Theory and Al: Learning Multi-Level Expressive Interpretation. AAAI 1994: 114-119
11		Gerhard Widmer: Combining Robustness and Flexibility in Learning Drifting Concepts. ECAI 1994: 468-472
10		Johannes Fürnkranz, Gerhard Widmer: Incremental Reduced Error Pruning. ICML 1994: 70-77
	1993
9		Gerhard Widmer, Miroslav Kubat: Effective Learning in Dynamic Environments by Explicit Context Tracking. ECML 1993: 227-243
8		Gerhard Widmer, Werner Horn, Bernhard Nagele: Automatic knowledge base refinement: learning from examples and deep knowledge in rheumatology. Artificial Intelligence in Medicine 5(3): 225-243 (1993)
7		Gerhard Widmer: Combining Knowledge-Based and Instance-Based Learning to Exploit Qualitative Knowledge. Informatica (Slovenia) 17(4): (1993)
	1992
6		Gerhard Widmer, Miroslav Kubat: Learning Flexible Concepts from Streams of Examples: FLORA 2. ECAI 1992: 463-467
	1991
5		Bernhard Nagele, Gerhard Widmer, Werner Horn: Automatische Verfeinerung der Wissensbasis durch maschinelles Lernen in einem medizinischen Expertensystem. ÖGAI 1991: 68-77
4		Gerhard Widmer: Using Plausible Explanations to Bias Empirical Generalizations in Weak Theory Domains. EWSL 1991: 33-43
	1989
3		Gerhard Widmer: Wissensbasiertes Lernen in der Musik: Die Integration induktiver und deduktiver Lernmethoden. ÖGAI 1989: 154-163
2		Gerhard Widmer: A Tight Integration of Deductive Learning. ML 1989: 11-13
	1985
1		Gerhard Widmer, Werner Horn: VIE-PCX - Ein Expert System Shell für den PC. ÖGAI 1985: 34-41

Coauthor Index

1	Vassil N. Alexandrov	[85]
2	Christoph Anthes	[85]
3	Andreas Arzt	[87]
4	Björn Bringmann	[31]
5	Alvin T. S. Chan	[44]
6	Simon Dixon	[32] [38] [40] [41] [45] [55] [74] [87]
7	Arthur Flexer	[53] [56] [63] [74] [90]
8	Johannes Fürnkranz	[10] [20]
9	Werner Goebl	[32] [38] [39]
10	Fabien Gouyon	[45] [74]
11	Michael de Groeve	[23] [25]
12	David R. Hardoon	[47] [84]
13	Christian Holzbaur	[69]
14	Werner Horn	[1] [5] [8]
15	Peter Knees	[46] [54] [57] [60] [64] [70] [72] [73] [75] [76] [77] [78] [79] [80] [83] [86] [88] [89]
16	Klaus Kovar	[20]
17	Stefan Kramer	[23] [25] [31]
18	Dieter Kranzlmüller	[85]
19	Miroslav Kubat	[6] [9] [13] [14] [19]
20	Marcus-Christopher Ludl	[22] [24] [33]
21	Søren Tjagvad Madsen	[61] [62] [68] [71] [81]
22	Bernhard Nagele	[5] [8]
23	Friedrich Neubarth	[31]
24	Elias Pampalk	[38] [39] [40] [41] [44] [46] [52] [53] [56] [63] [78]
25	Johann Petrak	[20] [28]
26	Bernhard Pfahringer	[20] [23] [25]
27	Hannes Pirker	[31]
28	Tim Pohle	[52] [70] [72] [73] [76] [77] [78] [79] [80] [86] [88] [89]
29	Craig Saunders	[47] [84]
30	Markus Schedl	[54] [57] [60] [64] [70] [72] [73] [75] [76] [77] [78] [79] [82] [86]
31	Dominik Schnitzer	[80]
32	Alexander K. Seewald	[28] [69]
33	Klaus Seyerlehner	[90]
34	John Shawe-Taylor	[47] [84]
35	Maarten van Someren	[18]
36	Efstathios Stamatatos	[34] [51]
37	Asmir Tobudic	[38] [42] [43] [48] [59] [67]
38	Robert Trappl	[20]
39	Jens Volkert	[85]
40	Patrick Zanon	[49]

Colors in the list of coauthors