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Gerhard Widmer :
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Gerhard Widmer The Synergy of Music Theory and Al: Learning Multi-Level Expressive Interpretation. [Citation Graph (0, 0)][DBLP ] AAAI, 1994, pp:114-119 [Conf ] Gerhard Widmer In Search of the Horowitz Factor: Interim Report on a Musical Discovery Project. [Citation Graph (0, 0)][DBLP ] ALT, 2002, pp:41- [Conf ] Markus Schedl , Peter Knees , Gerhard Widmer Improving Prototypical Artist Detection by Penalizing Exorbitant Popularity. [Citation Graph (0, 0)][DBLP ] CMMR, 2005, pp:196-200 [Conf ] Gerhard Widmer In Search of the Horowitz Factor: Interim Report on a Musical Discovery Project. [Citation Graph (0, 0)][DBLP ] Discovery Science, 2002, pp:13-21 [Conf ] Efstathios Stamatatos , Gerhard Widmer Music Performer Recognition Using an Ensemble of Simple Classifiers. [Citation Graph (0, 0)][DBLP ] ECAI, 2002, pp:335-339 [Conf ] Gerhard Widmer Combining Robustness and Flexibility in Learning Drifting Concepts. [Citation Graph (0, 0)][DBLP ] ECAI, 1994, pp:468-472 [Conf ] Gerhard Widmer What Is It That Makes It a Horowitz? Empirical Musicology via Machine Learning. [Citation Graph (0, 0)][DBLP ] ECAI, 1996, pp:458-462 [Conf ] Gerhard Widmer , Miroslav Kubat Learning Flexible Concepts from Streams of Examples: FLORA 2. [Citation Graph (0, 0)][DBLP ] ECAI, 1992, pp:463-467 [Conf ] Gerhard Widmer , Patrick Zanon Automatic Recognition of Famous Artists by Machine. [Citation Graph (0, 0)][DBLP ] ECAI, 2004, pp:1109-1110 [Conf ] Markus Schedl , Peter Knees , Tim Pohle , Gerhard Widmer Towards Automatic Retrieval of Album Covers. [Citation Graph (0, 0)][DBLP ] ECIR, 2006, pp:531-534 [Conf ] Miroslav Kubat , Gerhard Widmer Adapting to Drift in Continuous Domains (Extended Abstract). [Citation Graph (0, 0)][DBLP ] ECML, 1995, pp:307-310 [Conf ] Marcus-Christopher Ludl , Gerhard Widmer Relative Unsupervised Discretization for Regresseion Problems. [Citation Graph (0, 0)][DBLP ] ECML, 2000, pp:246-253 [Conf ] Marcus-Christopher Ludl , Gerhard Widmer Towards a Simple Clustering Criterion Based on Minimum Length Encoding. [Citation Graph (0, 0)][DBLP ] ECML, 2002, pp:258-269 [Conf ] Craig Saunders , David R. Hardoon , John Shawe-Taylor , Gerhard Widmer Using String Kernels to Identify Famous Performers from Their Playing Style. [Citation Graph (0, 0)][DBLP ] ECML, 2004, pp:384-395 [Conf ] Gerhard Widmer Discovering Strong Principles of Expressive Music Performance with the PLCG Rule Learning Strategy. [Citation Graph (0, 0)][DBLP ] ECML, 2001, pp:552-563 [Conf ] Gerhard Widmer The Musical Expression Project: A Challenge for Machine Learning and Knowledge Discovery. [Citation Graph (0, 0)][DBLP ] ECML, 2001, pp:603-614 [Conf ] Gerhard Widmer Using Plausible Explanations to Bias Empirical Generalizations in Weak Theory Domains. [Citation Graph (0, 0)][DBLP ] EWSL, 1991, pp:33-43 [Conf ] Gerhard Widmer , Miroslav Kubat Effective Learning in Dynamic Environments by Explicit Context Tracking. [Citation Graph (0, 0)][DBLP ] ECML, 1993, pp:227-243 [Conf ] Elias Pampalk , Arthur Flexer , Gerhard Widmer Hierarchical Organization and Description of Music Collections at the Artist Level. [Citation Graph (0, 0)][DBLP ] ECDL, 2005, pp:37-48 [Conf ] Søren Tjagvad Madsen , Gerhard Widmer Evolutionary Search for Musical Parallelism. [Citation Graph (0, 0)][DBLP ] EvoWorkshops, 2005, pp:488-497 [Conf ] Asmir Tobudic , Gerhard Widmer Case-Based Relational Learning of Expressive Phrasing in Classical Music. [Citation Graph (0, 0)][DBLP ] ECCBR, 2004, pp:419-433 [Conf ] Søren Tjagvad Madsen , Gerhard Widmer Exploring Similarities in Music Performances with an Evolutionary Algorithm. [Citation Graph (0, 0)][DBLP ] FLAIRS Conference, 2005, pp:80-85 [Conf ] Alexander K. Seewald , Johann Petrak , Gerhard Widmer Hybrid Decision Tree Learners with Alternative Leaf Classifiers: An Empirical Study. [Citation Graph (0, 0)][DBLP ] FLAIRS Conference, 2001, pp:407-411 [Conf ] Asmir Tobudic , Gerhard Widmer Playing Mozart Phrase by Phrase. [Citation Graph (0, 0)][DBLP ] ICCBR, 2003, pp:552-566 [Conf ] Simon Dixon , Werner Goebl , Gerhard Widmer Real Time Tracking and Visualisation of Musical Expression. [Citation Graph (0, 0)][DBLP ] ICMAI, 2002, pp:58-68 [Conf ] Björn Bringmann , Stefan Kramer , Friedrich Neubarth , Hannes Pirker , Gerhard Widmer Transformation-Based Regression. [Citation Graph (0, 0)][DBLP ] ICML, 2002, pp:59-66 [Conf ] Johannes Fürnkranz , Gerhard Widmer Incremental Reduced Error Pruning. [Citation Graph (0, 0)][DBLP ] ICML, 1994, pp:70-77 [Conf ] Gerhard Widmer A Tight Integration of Deductive Learning. [Citation Graph (0, 0)][DBLP ] ML, 1989, pp:11-13 [Conf ] Gerhard Widmer Recognition and Exploitation of Contextual CLues via Incremental Meta-Learning. [Citation Graph (0, 0)][DBLP ] ICML, 1996, pp:525-533 [Conf ] Asmir Tobudic , Gerhard Widmer Learning to Play Like the Great Pianists. [Citation Graph (0, 0)][DBLP ] IJCAI, 2005, pp:871-876 [Conf ] Søren Tjagvad Madsen , Gerhard Widmer Towards a Computational Model of Melody Identification in Polyphonic Music. [Citation Graph (0, 0)][DBLP ] IJCAI, 2007, pp:459-464 [Conf ] Asmir Tobudic , Gerhard Widmer Relational IBL in Music with a New Structural Similarity Measure. [Citation Graph (0, 0)][DBLP ] ILP, 2003, pp:365-382 [Conf ] Gerhard Widmer Why Computers Need to Learn About Music. [Citation Graph (0, 0)][DBLP ] ILP, 2005, pp:414- [Conf ] Simon Dixon , Fabien Gouyon , Gerhard Widmer Towards Characterisation of Music via Rhythmic Patterns. [Citation Graph (0, 0)][DBLP ] ISMIR, 2004, pp:- [Conf ] Simon Dixon , Elias Pampalk , Gerhard Widmer Classification of dance music by periodicity patterns. [Citation Graph (0, 0)][DBLP ] ISMIR, 2003, pp:- [Conf ] Simon Dixon , Gerhard Widmer MATCH: A Music Alignment Tool Chest. [Citation Graph (0, 0)][DBLP ] ISMIR, 2005, pp:492-497 [Conf ] Arthur Flexer , Elias Pampalk , Gerhard Widmer Novelty Detection Based on Spectral Similarity of Songs. [Citation Graph (0, 0)][DBLP ] ISMIR, 2005, pp:260-263 [Conf ] Peter Knees , Elias Pampalk , Gerhard Widmer Artist Classification with Web-Based Data. [Citation Graph (0, 0)][DBLP ] ISMIR, 2004, pp:- [Conf ] Peter Knees , Markus Schedl , Gerhard Widmer Multiple Lyrics Alignment: Automatic Retrieval of Song Lyrics. [Citation Graph (0, 0)][DBLP ] ISMIR, 2005, pp:564-569 [Conf ] Elias Pampalk , Simon Dixon , Gerhard Widmer Exploring music collections by browsing different views. [Citation Graph (0, 0)][DBLP ] ISMIR, 2003, pp:- [Conf ] Elias Pampalk , Arthur Flexer , Gerhard Widmer Improvements of Audio-Based Music Similarity and Genre Classificaton. [Citation Graph (0, 0)][DBLP ] ISMIR, 2005, pp:628-633 [Conf ] Elias Pampalk , Tim Pohle , Gerhard Widmer Dynamic Playlist Generation Based on Skipping Behavior. [Citation Graph (0, 0)][DBLP ] ISMIR, 2005, pp:634-637 [Conf ] Markus Schedl , Peter Knees , Gerhard Widmer Discovering and Visualizing Prototypical Artists by Web-Based Co-Occurrence Analysis. [Citation Graph (0, 0)][DBLP ] ISMIR, 2005, pp:21-28 [Conf ] Søren Tjagvad Madsen , Gerhard Widmer Separating voices in MIDI. [Citation Graph (0, 0)][DBLP ] ISMIR, 2006, pp:57-60 [Conf ] Arthur Flexer , Fabien Gouyon , Simon Dixon , Gerhard Widmer Probabilistic Combination of Features for Music Classification. [Citation Graph (0, 0)][DBLP ] ISMIR, 2006, pp:111-114 [Conf ] Tim Pohle , Peter Knees , Markus Schedl , Gerhard Widmer Independent Component Analysis for Music Similarity Computation. [Citation Graph (0, 0)][DBLP ] ISMIR, 2006, pp:228-233 [Conf ] Markus Schedl , Tim Pohle , Peter Knees , Gerhard Widmer Assigning and Visualizing Music Genres by Web-based Co-Occurrence Analysis. [Citation Graph (0, 0)][DBLP ] ISMIR, 2006, pp:260-265 [Conf ] Stefan Kramer , Gerhard Widmer , Bernhard Pfahringer , Michael de Groeve Prediction of Ordinal Classes Using Regression Trees. [Citation Graph (0, 0)][DBLP ] ISMIS, 2000, pp:426-434 [Conf ] Elias Pampalk , Werner Goebl , Gerhard Widmer Visualizing changes in the structure of data for exploratory feature selection. [Citation Graph (0, 0)][DBLP ] KDD, 2003, pp:157-166 [Conf ] Bernhard Nagele , Gerhard Widmer , Werner Horn Automatische Verfeinerung der Wissensbasis durch maschinelles Lernen in einem medizinischen Expertensystem. [Citation Graph (0, 0)][DBLP ] ÖGAI, 1991, pp:68-77 [Conf ] Gerhard Widmer Wissensbasiertes Lernen in der Musik: Die Integration induktiver und deduktiver Lernmethoden. [Citation Graph (0, 0)][DBLP ] ÖGAI, 1989, pp:154-163 [Conf ] Gerhard Widmer , Werner Horn VIE-PCX - Ein Expert System Shell für den PC. [Citation Graph (0, 0)][DBLP ] ÖGAI, 1985, pp:34-41 [Conf ] Marcus-Christopher Ludl , Gerhard Widmer Relative Unsupervised Discretization for Association Rule Mining. [Citation Graph (0, 0)][DBLP ] PKDD, 2000, pp:148-158 [Conf ] Gerhard Widmer The Musical Expression Project: A Challenge for Machine Learning and Knowledge Discovery. [Citation Graph (0, 0)][DBLP ] PKDD, 2001, pp:495-506 [Conf ] Markus Schedl , Peter Knees , Gerhard Widmer Interactive Poster: Using CoMIRVA for Visualizing Similarities Between Music Artists. [Citation Graph (0, 0)][DBLP ] IEEE Visualization, 2005, pp:89- [Conf ] Alexander K. Seewald , Christian Holzbaur , Gerhard Widmer Evaluation of term utility functions for very short multidocument summaries. [Citation Graph (0, 0)][DBLP ] Applied Artificial Intelligence, 2006, v:20, n:1, pp:57-77 [Journal ] Efstathios Stamatatos , Gerhard Widmer Automatic identification of music performers with learning ensembles. [Citation Graph (0, 0)][DBLP ] Artif. Intell., 2005, v:165, n:1, pp:37-56 [Journal ] Gerhard Widmer Discovering simple rules in complex data: A meta-learning algorithm and some surprising musical discoveries. [Citation Graph (0, 0)][DBLP ] Artif. Intell., 2003, v:146, n:2, pp:129-148 [Journal ] Gerhard Widmer Using AI and machine learning to study expressive music performance: project survey and first report. [Citation Graph (0, 0)][DBLP ] AI Commun., 2001, v:14, n:3, pp:149-162 [Journal ] Gerhard Widmer , Simon Dixon , Werner Goebl , Elias Pampalk , Asmir Tobudic In Search of the Horowitz Factor. [Citation Graph (0, 0)][DBLP ] AI Magazine, 2003, v:24, n:3, pp:111-130 [Journal ] Gerhard Widmer , Werner Horn , Bernhard Nagele Automatic knowledge base refinement: learning from examples and deep knowledge in rheumatology. [Citation Graph (0, 0)][DBLP ] Artificial Intelligence in Medicine, 1993, v:5, n:3, pp:225-243 [Journal ] Stefan Kramer , Gerhard Widmer , Bernhard Pfahringer , Michael de Groeve Prediction of Ordinal Classes Using Regression Trees. [Citation Graph (0, 0)][DBLP ] Fundam. Inform., 2001, v:47, n:1-2, pp:1-13 [Journal ] Elias Pampalk , Gerhard Widmer , Alvin T. S. Chan A new approach to hierarchical clustering and structuring of data with Self-Organizing Maps. [Citation Graph (0, 0)][DBLP ] Intell. Data Anal., 2004, v:8, n:2, pp:131-149 [Journal ] Søren Tjagvad Madsen , Gerhard Widmer Exploring Pianist Performance Styles with Evolutionary String Matching. [Citation Graph (0, 0)][DBLP ] International Journal on Artificial Intelligence Tools, 2006, v:15, n:4, pp:495-514 [Journal ] Gerhard Widmer Combining Knowledge-Based and Instance-Based Learning to Exploit Qualitative Knowledge. [Citation Graph (0, 0)][DBLP ] Informatica (Slovenia), 1993, v:17, n:4, pp:- [Journal ] Gerhard Widmer Musikalisch intelligente Computer Anwendungen in der klassischen und populären Musik. [Citation Graph (0, 0)][DBLP ] Informatik Spektrum, 2005, v:28, n:5, pp:363-368 [Journal ] Gerhard Widmer Tracking Context Changes through Meta-Learning. [Citation Graph (0, 0)][DBLP ] Machine Learning, 1997, v:27, n:3, pp:259-286 [Journal ] Gerhard Widmer , Miroslav Kubat Learning in the Presence of Concept Drift and Hidden Contexts. [Citation Graph (0, 0)][DBLP ] Machine Learning, 1996, v:23, n:1, pp:69-101 [Journal ] Gerhard Widmer , Miroslav Kubat Guest Editors' Introduction. [Citation Graph (0, 0)][DBLP ] Machine Learning, 1998, v:32, n:2, pp:83-84 [Journal ] Asmir Tobudic , Gerhard Widmer Relational IBL in classical music. [Citation Graph (0, 0)][DBLP ] Machine Learning, 2006, v:64, n:1-3, pp:5-24 [Journal ] Gerhard Widmer Guest Editorial: Machine learning in and for music. [Citation Graph (0, 0)][DBLP ] Machine Learning, 2006, v:65, n:2-3, pp:347- [Journal ] Gerhard Widmer Guest editorial: Machine learning in and for music. [Citation Graph (0, 0)][DBLP ] Machine Learning, 2006, v:65, n:2-3, pp:343-346 [Journal ] Peter Knees , Tim Pohle , Markus Schedl , Gerhard Widmer Combining audio-based similarity with web-based data to accelerate automatic music playlist generation. [Citation Graph (0, 0)][DBLP ] Multimedia Information Retrieval, 2006, pp:147-154 [Conf ] Peter Knees , Markus Schedl , Tim Pohle , Gerhard Widmer An innovative three-dimensional user interface for exploring music collections enriched. [Citation Graph (0, 0)][DBLP ] ACM Multimedia, 2006, pp:17-24 [Conf ] Peter Knees , Tim Pohle , Markus Schedl , Gerhard Widmer A music search engine built upon audio-based and web-based similarity measures. [Citation Graph (0, 0)][DBLP ] SIGIR, 2007, pp:447-454 [Conf ] Automatically Detecting Members and Instrumentation of Music Bands Via Web Content Mining. [Citation Graph (, )][DBLP ] Automatic Reduction of MIDI Files Preserving Relevant Musical Content. [Citation Graph (, )][DBLP ] Searching for Music Using Natural Language Queries and Relevance Feedback. [Citation Graph (, )][DBLP ] An Approach to Automatically Tracking Music Preference on Mobile Players. [Citation Graph (, )][DBLP ] Automatic Page Turning for Musicians via Real-Time Machine Listening. [Citation Graph (, )][DBLP ] Towards an Automatically Generated Music Information System Via Web Content Mining. [Citation Graph (, )][DBLP ] Collaborative and Cooperative Environments. [Citation Graph (, )][DBLP ] Streamcatcher: Integrated Visualization of Music Clips and Online Audio Streams. [Citation Graph (, )][DBLP ] Playlist Generation using Start and End Songs. [Citation Graph (, )][DBLP ] Dealing with Music in Intelligent Ways. [Citation Graph (, )][DBLP ] Sound/tracks: real-time synaesthetic sonification and visualisation of passing landscapes. [Citation Graph (, )][DBLP ] Sound/tracks: real-time synaesthetic sonification of train journeys. [Citation Graph (, )][DBLP ] Three web-based heuristics to determine a person's or institution's country of origin. [Citation Graph (, )][DBLP ] Investigating Web-Based Approaches to Revealing Prototypical Music Artists in Genre Taxonomies. [Citation Graph (, )][DBLP ] On the limitations of browsing top-N recommender systems. [Citation Graph (, )][DBLP ] One-touch access to music on mobile devices. [Citation Graph (, )][DBLP ] Searching for Patterns in Political Event Sequences: Experiments with the Keds Database. 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