Gerhard Widmer


Ontology type: schema:Person     


Person Info

NAME

Gerhard

SURNAME

Widmer

Publications in SciGraph latest 50 shown

  • 2019 Machine Learning Approaches to Hybrid Music Recommender Systems in MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES
  • 2018-06 End-to-end cross-modality retrieval with CCA projections and pairwise ranking loss in INTERNATIONAL JOURNAL OF MULTIMEDIA INFORMATION RETRIEVAL
  • 2017-06 An evaluation of linear and non-linear models of expressive dynamics in classical piano and symphonic music in MACHINE LEARNING
  • 2016 Using Geometric Symbolic Fingerprinting to Discover Distinctive Patterns in Polyphonic Music Corpora in COMPUTATIONAL MUSIC ANALYSIS
  • 2013 Expressive Performance Rendering with Probabilistic Models in GUIDE TO COMPUTING FOR EXPRESSIVE MUSIC PERFORMANCE
  • 2012-07 Sound/tracks: artistic real-time sonification of train journeys in JOURNAL ON MULTIMODAL USER INTERFACES
  • 2012-05 A fast audio similarity retrieval method for millions of music tracks in MULTIMEDIA TOOLS AND APPLICATIONS
  • 2011 A Comparison of Human, Automatic and Collaborative Music Genre Classification and User Centric Evaluation of Genre Classification Systems in ADAPTIVE MULTIMEDIA RETRIEVAL. CONTEXT, EXPLORATION, AND FUSION
  • 2010 Automatic Reduction of MIDI Files Preserving Relevant Musical Content in ADAPTIVE MULTIMEDIA RETRIEVAL. IDENTIFYING, SUMMARIZING, AND RECOMMENDING IMAGE AND MUSIC
  • 2010 An Approach to Automatically Tracking Music Preference on Mobile Players in ADAPTIVE MULTIMEDIA RETRIEVAL. IDENTIFYING, SUMMARIZING, AND RECOMMENDING IMAGE AND MUSIC
  • 2009 Dealing with Music in Intelligent Ways in FOUNDATIONS OF INTELLIGENT SYSTEMS
  • 2008 Searching for Music Using Natural Language Queries and Relevance Feedback in ADAPTIVE MULTIMEDIA RETRIEVAL: RETRIEVAL, USER, AND SEMANTICS
  • 2008 Towards an Automatically Generated Music Information System Via Web Content Mining in ADVANCES IN INFORMATION RETRIEVAL
  • 2008 Automatically Detecting Members and Instrumentation of Music Bands Via Web Content Mining in ADAPTIVE MULTIMEDIA RETRIEVAL: RETRIEVAL, USER, AND SEMANTICS
  • 2008 Collaborative and Cooperative Environments in COMPUTATIONAL SCIENCE – ICCS 2008
  • 2006-12 Guest Editorial: Machine learning in and for music in MACHINE LEARNING
  • 2006-12 Guest editorial: Machine learning in and for music in MACHINE LEARNING
  • 2006-09 Relational IBL in classical music in MACHINE LEARNING
  • 2006 Towards Automatic Retrieval of Album Covers in ADVANCES IN INFORMATION RETRIEVAL
  • 2006 Improving Prototypical Artist Detection by Penalizing Exorbitant Popularity in COMPUTER MUSIC MODELING AND RETRIEVAL
  • 2005-10 Musikalisch intelligente Computer Anwendungen in der klassischen und populären Musik in INFORMATIK-SPEKTRUM
  • 2005-07 Intelligent structuring and exploration of digital music collections in E & I ELEKTROTECHNIK UND INFORMATIONSTECHNIK
  • 2005 Why Computers Need to Learn About Music in INDUCTIVE LOGIC PROGRAMMING
  • 2005 Hierarchical Organization and Description of Music Collections at the Artist Level in RESEARCH AND ADVANCED TECHNOLOGY FOR DIGITAL LIBRARIES
  • 2005 Evolutionary Search for Musical Parallelism in APPLICATIONS OF EVOLUTIONARY COMPUTING
  • 2004 Case-Based Relational Learning of Expressive Phrasing in Classical Music in ADVANCES IN CASE-BASED REASONING
  • 2003-06-18 Playing Mozart Phrase by Phrase in CASE-BASED REASONING RESEARCH AND DEVELOPMENT
  • 2003 Relational IBL in Music with a New Structural Similarity Measure in INDUCTIVE LOGIC PROGRAMMING
  • 2002-11-08 In Search of the Horowitz Factor: Interim Report on a Musical Discovery Project in DISCOVERY SCIENCE
  • 2002-09-20 Towards a Simple Clustering Criterion Based on Minimum Length Encoding in MACHINE LEARNING: ECML 2002
  • 2002-07-02 Prediction of Ordinal Classes Using Regression Trees in FOUNDATIONS OF INTELLIGENT SYSTEMS
  • 2002 Real Time Tracking and Visualisation of Musical Expression in MUSIC AND ARTIFICIAL INTELLIGENCE
  • 2002 In Search of the Horowitz Factor: Interim Report on a Musical Discovery Project in ALGORITHMIC LEARNING THEORY
  • 2001-08-30 The Musical Expression Project: A Challenge for Machine Learning and Knowledge Discovery in MACHINE LEARNING: ECML 2001
  • 2001-08-30 Discovering Strong Principles of Expressive Music Performance with the PLCG Rule Learning Strategy in MACHINE LEARNING: ECML 2001
  • 2001 Inducing Classification and Regression Trees in First Order Logic in RELATIONAL DATA MINING
  • 2001 The Musical Expression Project: A Challenge for Machine Learning and Knowledge Discovery in PRINCIPLES OF DATA MINING AND KNOWLEDGE DISCOVERY
  • 2000 Relative Unsupervised Discretization for Association Rule Mining in PRINCIPLES OF DATA MINING AND KNOWLEDGE DISCOVERY
  • 2000 Relative Unsupervised Discretization for Regression Problems in MACHINE LEARNING: ECML 2000
  • 1998-08 Guest Editors'Introduction in MACHINE LEARNING
  • 1997-06 Tracking Context Changes through Meta-Learning in MACHINE LEARNING
  • 1996-04 Learning in the presence of concept drift and hidden contexts in MACHINE LEARNING
  • 1996-04 Learning in the Presence of Concept Drift and Hidden Contexts in MACHINE LEARNING
  • 1995 Adapting to drift in continuous domains (Extended abstract) in MACHINE LEARNING: ECML-95
  • 1993 Effective learning in dynamic environments by explicit context tracking in MACHINE LEARNING: ECML-93
  • 1991 Using plausible explanations to bias empirical generalization in weak theory domains in MACHINE LEARNING — EWSL-91
  • 1991 Automatische Verfeinerung der Wissensbasis durch maschinelles Lernen in einem medizinischen Expertensystem in 7. ÖSTERREICHISCHE ARTIFICIAL-INTELLIGENCE-TAGUNG / SEVENTH AUSTRIAN CONFERENCE ON ARTIFICIAL INTELLIGENCE
  • 1991 Learning Specialized Disease Descriptions in a Rheumatological Expert System in MEDICAL INFORMATICS EUROPE 1991
  • 1989 Wissensbasiertes Lernen in der Musik: Die Integration induktiver und deduktiver Lernmethoden in 5. ÖSTERREICHISCHE ARTIFICIAL-INTELLIGENCE-TAGUNG
  • 1985 VIE-PCX — Ein Expert System Shell für den PC in ÖSTERREICHISCHE ARTIFICIAL INTELLIGENCE-TAGUNG
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