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Hanna M. Lukashevich
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2020 – today
- 2023
- [c31]Hanna M. Lukashevich
, Sascha Grollmisch
How reliable are posterior class probabilities in automatic music classification? Audio Mostly Conference 2023: 45-50 - [c30]Sascha Grollmisch, Estefanía Cano, Hanna M. Lukashevich, Jakob Abeßer:
Uncertainty in Semi-Supervised Audio Classification - A Novel Extension for FixMatch. EUSIPCO 2023: 161-165 - 2022
- [c29]Franca Bittner, Marcel Gonzalez, Maike L. Richter, Hanna M. Lukashevich, Jakob Abeßer:
Multi-pitch Estimation meets Microphone Mismatch: Applicability of Domain Adaptation. ISMIR 2022: 477-484 - 2021
- [c28]David S. Johnson, Wolfgang Lorenz, Michael Taenzer, Stylianos I. Mimilakis, Sascha Grollmisch, Jakob Abeßer, Hanna M. Lukashevich:
DESED-FL and URBAN-FL: Federated Learning Datasets for Sound Event Detection. EUSIPCO 2021: 556-560 - [c27]Patrick Aichroth
SEC-Learn: Sensor Edge Cloud for Federated Learning - Invited Paper. SAMOS 2021: 432-448 - [i2]David S. Johnson, Wolfgang Lorenz, Michael Taenzer, Stylianos I. Mimilakis, Sascha Grollmisch, Jakob Abeßer, Hanna M. Lukashevich:
DESED-FL and URBAN-FL: Federated Learning Datasets for Sound Event Detection. CoRR abs/2102.08833 (2021) - [i1]Sebastian Ribecky, Jakob Abeßer, Hanna M. Lukashevich:
Multi-input Architecture and Disentangled Representation Learning for Multi-dimensional Modeling of Music Similarity. CoRR abs/2111.01710 (2021) - 2020
- [c26]Alexandra Draghici, Jakob Abeßer, Hanna M. Lukashevich
A study on spoken language identification using deep neural networks. Audio Mostly Conference 2020: 253-256
2010 – 2019
- 2019
- [c25]Jakob Abeßer, Marco Götze, Tobias Clauß, Dominik Zapf, Christian Kühn, Hanna M. Lukashevich, Stephanie Kühnlenz, Stylianos I. Mimilakis:
Urban Noise Monitoring in the Stadtlärm Project - A Field Report. DCASE 2019: 1-4 - [c24]Sascha Grollmisch, Jakob Abeßer, Judith Liebetrau, Hanna M. Lukashevich
Sounding Industry: Challenges and Datasets for Industrial Sound Analysis. EUSIPCO 2019: 1-5 - [c23]Estefanía Cano, Hanna M. Lukashevich
Selective Hearing: A Machine Listening Perspective. MMSP 2019: 1-6 - 2018
- [c22]Jakob Abeßer, Marco Götze, Stephanie Kühnlenz, Robert Gräfe, Christian Kühn, Tobias Clauß, Hanna M. Lukashevich:
A Distributed Sensor Network for Monitoring Noise Level and Noise Sources in Urban Environments. FiCloud 2018: 318-324 - 2017
- [c21]Jakob Abeßer, Stylianos Ioannis Mimilakis, Robert Gräfe, Hanna M. Lukashevich:
Acoustic Scene Classification by Combining Autoencoder-Based Dimensionality Reduction and Convolutional Neural Networks. DCASE 2017: 7-11 - [c20]Sascha Grollmisch, Hanna M. Lukashevich
Soundslike. GI-Jahrestagung 2017: 139-150 - [c19]Anna M. Kruspe
Automatic speech/music discrimination for broadcast signals. GI-Jahrestagung 2017: 151-162 - 2014
- [c18]Christof Weiß, Estefanía Cano, Hanna M. Lukashevich:
A Mid-Level Approach to Local Tonality Analysis: Extracting Key Signatures from Audio. Semantic Audio 2014 - 2013
- [c17]Mikus J. Grasis, Jakob Abeßer, Christian Dittmar, Hanna M. Lukashevich
A Multiple-Expert Framework for Instrument Recognition. CMMR 2013: 619-634 - 2012
- [c16]Hanna M. Lukashevich
Confidence Measures in Automatic Music Classification. GfKl 2012: 397-405 - 2011
- [c15]Anna M. Kruspe
Artist filtering for non-western music classification. Audio Mostly Conference 2011: 82-87 - [c14]Anna M. Kruspe, Hanna M. Lukashevich, Jakob Abeßer, Holger Großmann, Christian Dittmar:
Automatic Classification of Musical Pieces into Global Cultural Areas. Semantic Audio 2011 - 2010
- [c13]Christian Dittmar, Holger Großmann, Estefanía Cano
Songs2See and GlobalMusic2One: Two Applied Research Projects in Music Information Retrieval at Fraunhofer IDMT. CMMR 2010: 259-272 - [c12]Hanna M. Lukashevich
Applying Multiple Kernel Learning to Automatic Genre Classification. GfKl 2010: 393-400 - [c11]Jakob Abeßer, Hanna M. Lukashevich
Feature-based extraction of plucking and expression styles of the electric bass guitar. ICASSP 2010: 2290-2293 - [c10]Pedro Mercado, Hanna M. Lukashevich
Feature Selection in Clustering with Constraints: Application to Active Exploration of Music Collections. ICMLA 2010: 649-654 - [c9]Jakob Abeßer, Paul Bräuer, Hanna M. Lukashevich, Gerald Schuller:
Bass Playing Style Detection Based on High-level Features and Pattern Similarity. ISMIR 2010: 93-98 - [c8]Stefanie Nowak, Hanna M. Lukashevich, Peter Dunker, Stefan M. Rüger:
Performance measures for multilabel evaluation: a case study in the area of image classification. Multimedia Information Retrieval 2010: 35-44
2000 – 2009
- 2009
- [c7]Hanna M. Lukashevich, Stefanie Nowak, Peter Dunker:
Using one-class SVM outliers detection for verification of collaboratively tagged image training sets. ICME 2009: 682-685 - [c6]Jakob Abeßer, Hanna M. Lukashevich, Christian Dittmar, Gerald Schuller:
Genre Classification Using Bass-Related High-Level Features and Playing Styles. ISMIR 2009: 453-458 - [c5]Hanna M. Lukashevich, Jakob Abeßer, Christian Dittmar, Holger Großmann:
From Multi-Labeling to Multi-Domain-Labeling: A Novel Two-Dimensional Approach to Music Genre Classification. ISMIR 2009: 459-464 - [p1]Karlheinz Brandenburg, Christian Dittmar, Matthias Gruhne, Jakob Abeßer, Hanna M. Lukashevich, Peter Dunker, Daniel Gärtner, Kay Wolter, Holger Grossmann:
Music Search and Recommendation. Handbook of Multimedia for Digital Entertainment and Arts 2009: 349-384 - 2008
- [c4]Hanna M. Lukashevich, Christian Dittmar, Christoph Bastuck:
Applying Statistical Models and Parametric Distance Measures for Music Similarity Search. GfKl 2008: 409-418 - [c3]Hanna M. Lukashevich:
Towards Quantitative Measures of Evaluating Song Segmentation. ISMIR 2008: 375-380 - 2004
- [c2]Liming Chen, Evgeny I. Bovbel, Hanna M. Lukashevich, Denis L. Mitrofanov:
Audio Documents Analysis And Indexing: Entropy and Dynamism Criteria. RIAO 2004: 809-818 - 2003
- [c1]Igor E. Kheidorov, Hanna M. Lukashevich
Entropy and Dynamism Criteria for Speech and Audio Classification Applications. TSD 2003: 275-280
Coauthor Index
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