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ORCIDFlorian Krebs
Person information
- affiliation: University of Kaiserslautern, Germany
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Journal Articles
- 2021
[j5]Franz Graf, Clemens Amon, Martin Blass, Moritz Fiser, Ferdinand Fuhrmann, Florian Krebs:
Let's teach computers to listen. Elektrotech. Informationstechnik 138(3): 139-147 (2021)- 2015
- [j4]Andrew Lambert
, Florian Krebs:
The Second International Workshop on Cross-Disciplinary and Multicultural Perspectives on Musical Rhythm and Improvisation. Comput. Music. J. 39(2): 97-100 (2015) - [j3]Florian Krebs, Andre Holzapfel, Ali Taylan Cemgil, Gerhard Widmer:
Inferring Metrical Structure in Music Using Particle Filters. IEEE ACM Trans. Audio Speech Lang. Process. 23(5): 817-827 (2015) - 2014
- [j2]Maarten Grachten, Florian Krebs:
An Assessment of Learned Score Features for Modeling Expressive Dynamics in Music. IEEE Trans. Multim. 16(5): 1211-1218 (2014) - 2004
- [j1]Christian Böhm, Florian Krebs:
The k-Nearest Neighbour Join: Turbo Charging the KDD Process. Knowl. Inf. Syst. 6(6): 728-749 (2004)
Conference and Workshop Papers
- 2023
- [c29]Hermann Fürntratt, Paul Schnabl, Florian Krebs, Roland Unterberger, Herwig Zeiner:
Towards Higher Abstraction Levels in Quantum Computing. ICSOC Workshops 2023: 162-173 - 2022
- [c28]Helmut Neuschmied, Florian Krebs, Stefan Ladstätter, Elisabeth Eder, Mohamed Redouane Berrazouane, Georg Thallinger:
A Toolchain for Extracting and Visualising Road Traffic Data. CBMI 2022: 205-208 - 2019
- [c27]Omair Rafique, Florian Krebs, Klaus Schneider:
Generating Efficient Parallel Code from the RVC-CAL Dataflow Language. DSD 2019: 182-189 - [c26]Nikolas Tekles, Matthias Reiner, Florian Krebs:
Model-Based Elastic Deformation Compensation for a Multi-Robot Work Cell. ICCA 2019: 530-536 - 2018
- [c25]Kashish Gupta, Marian Körber, Florian Krebs, Homayoun Najjaran:
Vision-based deformation and wrinkle detection for semi-finished fiber products on curved surfaces. CASE 2018: 618-623 - [c24]Florian Krebs, Bruno Lubascher, Tobias Moers, Pieter Schaap, Gerasimos Spanakis:
Social Emotion Mining Techniques for Facebook Posts Reaction Prediction. ICAART (2) 2018: 211-220 - [c23]Tobias Moers, Florian Krebs, Gerasimos Spanakis:
SEMTec: Social Emotion Mining Techniques for Analysis and Prediction of Facebook Post Reactions. ICAART (Revised Selected Papers) 2018: 361-382 - 2017
- [c22]Nikolas Tekles, Florian Krebs, Matthias Reiner:
Inverse model command shaper for a flexible gantry robot. IROS 2017: 1636-1642 - 2016
- [c21]Florian Krebs, Sebastian Böck, Matthias Dorfer, Gerhard Widmer:
Downbeat Tracking Using Beat Synchronous Features with Recurrent Neural Networks. ISMIR 2016: 129-135 - [c20]Sebastian Böck, Florian Krebs, Gerhard Widmer:
Joint Beat and Downbeat Tracking with Recurrent Neural Networks. ISMIR 2016: 255-261 - [c19]Sebastian Böck, Filip Korzeniowski, Jan Schlüter, Florian Krebs, Gerhard Widmer:
madmom: A New Python Audio and Music Signal Processing Library. ACM Multimedia 2016: 1174-1178 - 2015
- [c18]Roland Glück, Florian Benedikt Krebs:
Towards Interactive Verification of Programmable Logic Controllers Using Modal Kleene Algebra and KIV. RAMiCS 2015: 241-256 - [c17]Georg Braun, Christian Nissler, Florian Krebs:
Development of a vision-based 6D pose estimation end effector for industrial manipulators in lightweight production environments. ETFA 2015: 1-6 - [c16]Andreas Angerer, Michael Vistein, Alwin Hoffmann, Wolfgang Reif, Florian Krebs, Manfred Schönheits:
Towards Multi-functional Robot-based Automation Systems. ICINCO (2) 2015: 438-443 - [c15]Florian Krebs, Sebastian Böck, Gerhard Widmer:
An Efficient State-Space Model for Joint Tempo and Meter Tracking. ISMIR 2015: 72-78 - [c14]Sebastian Böck, Florian Krebs, Gerhard Widmer:
Accurate Tempo Estimation Based on Recurrent Neural Networks and Resonating Comb Filters. ISMIR 2015: 625-631 - 2014
- [c13]Florian Krebs, Filip Korzeniowski, Maarten Grachten, Gerhard Widmer:
Unsupervised learning and refinement of rhythmic patterns for beat and downbeat tracking. EUSIPCO 2014: 611-615 - [c12]Andre Holzapfel, Florian Krebs, Ajay Srinivasamurthy:
Tracking the "Odd": Meter Inference in a Culturally Diverse Music Corpus. ISMIR 2014: 425-430 - [c11]Sebastian Böck, Florian Krebs, Gerhard Widmer:
A Multi-model Approach to Beat Tracking Considering Heterogeneous Music Styles. ISMIR 2014: 603-608 - [c10]Tom Collins, Sebastian Böck, Florian Krebs, Gerhard Widmer:
Bridging the Audio-Symbolic Gap: The Discovery of Repeated Note Content Directly from Polyphonic Music Audio. Semantic Audio 2014 - 2013
- [c9]Filip Korzeniowski, Florian Krebs, Andreas Arzt, Gerhard Widmer:
Tracking rests and Tempo changes: Improved Score following with Particle filters. ICMC 2013 - [c8]Florian Krebs, Sebastian Böck, Gerhard Widmer:
Rhythmic Pattern Modeling for Beat and Downbeat Tracking in Musical Audio. ISMIR 2013: 227-232 - 2012
- [c7]Sebastian Böck, Florian Krebs, Markus Schedl:
Evaluating the Online Capabilities of Onset Detection Methods. ISMIR 2012: 49-54 - 2008
- [c6]Martin Eric Müller, Florian Benedikt Krebs, Ferry Hielscher:
Relational cognitive structures for intelligent agent and robot control. SMC 2008: 3156-3163 - 2003
- [c5]Christian Böhm, Florian Krebs:
Supporting KDD Applications by the k-Nearest Neighbor Join. DEXA 2003: 504-516 - 2002
- [c4]Christian Böhm, Florian Krebs, Hans-Peter Kriegel:
Optimal Dimension Order: A Generic Technique for the Similarity Join. DaWaK 2002: 135-149 - [c3]Christian Böhm, Florian Krebs:
High Performance Data Mining Using the Nearest Neighbor Join. ICDM 2002: 43-50 - 2001
- [c2]Stefan Berchtold, Christian Böhm, Daniel A. Keim, Florian Krebs, Hans-Peter Kriegel:
On Optimizing Nearest Neighbor Queries in High-Dimensional Data Spaces. ICDT 2001: 435-449 - [c1]Christian Böhm, Bernhard Braunmüller, Florian Krebs, Hans-Peter Kriegel:
Epsilon Grid Order: An Algorithm for the Similarity Join on Massive High-Dimensional Data. SIGMOD Conference 2001: 379-388
Informal and Other Publications
- 2017
- [i2]Florian Krebs, Bruno Lubascher, Tobias Moers, Pieter Schaap, Gerasimos Spanakis:
Social Emotion Mining Techniques for Facebook Posts Reaction Prediction. CoRR abs/1712.03249 (2017) - 2016
- [i1]Sebastian Böck, Filip Korzeniowski, Jan Schlüter, Florian Krebs, Gerhard Widmer:
madmom: a new Python Audio and Music Signal Processing Library. CoRR abs/1605.07008 (2016)
Coauthor Index
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