Alexander Schindler
Alexander Schindler
Institute of Software Technology and Interactive Systems, Vienna University of Technology, Austria
Verified email at ifs.tuwien.ac.at - Homepage
Title
Cited by
Cited by
Year
CQT-based convolutional neural networks for audio scene classification
T Lidy, A Schindler
Proceedings of the Detection and Classification of Acoustic Scenes and …, 2016
932016
CQT-based convolutional neural networks for audio scene classification and domestic audio tagging
T Lidy, A Schindler
Detection and Classification of Acoustic Scenes and Events 2016 Challenge …, 2016
93*2016
Facilitating Comprehensive Benchmarking Experiments on the Million Song Dataset
A Schindler, R Mayer, A Rauber
13th International Society for Music Information Retrieval Conference (ISMIR …, 2012
662012
Capturing the Temporal Domain in Echonest Features for Improved Classification Effectiveness
A Schindler, A Rauber
Proc. Adaptive Multimedia Retrieval.(Oct. 2012), 2012
472012
Parallel Convolutional Neural Networks for Music Genre and Mood Classification
T Lidy, A Schindler
Music Information Retireval Evaluation EXchange (MIREX 2016), 2016
322016
An Audio-Visual Approach to Music Genre Classification through Affective Color Features
A Schindler, A Rauber
37th European Conference on Information Retrieval (ECIR'15), Vienna, Austria, 2015
262015
Comparing Shallow versus Deep Neural Network Architectures for Automatic Music Genre Classification
A Schindler, T Lidy, A Rauber
9th Forum Media Technology (FMT2016) 1734, 17-21, 2016
222016
A multi-modal deep neural network approach to bird-song identification
B Fazekas, A Schindler, T Lidy, A Rauber
Working Notes of CLEF 2017, 655-667, 2017
212017
PriMa-X: A reference model for realizing prescriptive maintenance and assessing its maturity enhanced by machine learning
T Nemeth, F Ansari, W Sihn, B Haslhofer, A Schindler
Procedia CIRP 72, 1039-1044, 2018
172018
Quality assurance for document image collections in digital preservation
R Huber-Mörk, A Schindler
International Conference on Advanced Concepts for Intelligent Vision Systems …, 2012
172012
Harnessing Music-Related Visual Stereotypes for Music Information Retrieval
A Schindler, A Rauber
ACM Transactions on Intelligent Systems and Technology (TIST) 8 (2), 20, 2017
132017
Duplicate Detection for Quality Assurance of Document Image Collections
R Huber-Mörk, A Schindler, S Schlarb
9th International Conference on Digital Preservation (IPres2012), 136-143, 2012
122012
MULTI-TEMPORAL RESOLUTION CONVOLUTIONAL NEURAL NETWORKS FOR ACOUSTIC SCENE CLASSIFICATION
A Schindler, T Lidy, A Rauber
Detection and Classification of Acoustic Scenes and Events Workshop …, 2017
112017
A Music Video Information Retrieval Approach to Artist Identification
A Schindler, A Rauber
10th Symposium on Computer Music Multidisciplinary research (CMMR 2013), 2013
92013
Large Scale Audio-Visual Video Analytics Platform for Forensic Investigations of Terroristic Attacks
A Schindler, M Boyer, A Lindley, D Schreiber, T Philipp
25th International Conference on MultiMedia Modeling (MMM2019), 2019
62019
Fashion and Apparel Classification using Convolutional Neural Networks
A Schindler, T Lidy, S Karner, M Hecker
Forum Media Technology (FMT2017), St.Poelten, Austria, 2017
62017
The Europeana Sounds Music Information Retrieval Pilot
A Schindler, S Gordea, H van Biessum
International Conference on Cultural Heritage (EuroMed2016), 2016
62016
Quality assured image file format migration in large digital object repositories
S Schlarb, P Cliff, P May, W Palmer, M Hahn, R Huber-Moerk, A Schindler, ...
10th International Conference on Preservation of Digital Objects, 2013
52013
Multi-Task Music Representation Learning from Multi-Label Embeddings
A Schindler, P Knees
2019 International Conference on Content-Based Multimedia Indexing (CBMI), 1-6, 2019
42019
Predicting Time-to-Failure of Plasma Etching Equipment using Machine Learning
A Jalali, C Heistracher, A Schindler, B Haslhofer, T Nemeth, R Glawar, ...
2019 IEEE International Conference on Prognostics and Health Management …, 2019
42019
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