| 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 | 130* | 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 | 80 | 2012 |
| 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 | 74 | 2018 |
| 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 | 62 | 2016 |
| Parallel Convolutional Neural Networks for Music Genre and Mood Classification T Lidy, A Schindler Music Information Retireval Evaluation EXchange (MIREX 2016), 2016 | 58 | 2016 |
| Capturing the Temporal Domain in Echonest Features for Improved Classification Effectiveness A Schindler, A Rauber Proc. Adaptive Multimedia Retrieval.(Oct. 2012), 2012 | 53 | 2012 |
| 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 | 40 | 2015 |
| Automatic Fake News Detection with Pre-Trained Transformer Models M Schütz, A Schindler, M Siegel, K Nazemi Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021 | 34 | 2021 |
| 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 | 30 | 2017 |
| Fashion and Apparel Classification using Convolutional Neural Networks A Schindler, T Lidy, S Karner, M Hecker Forum Media Technology (FMT2017), St.Poelten, Austria, 2017 | 29 | 2017 |
| 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 | 27 | 2019 |
| 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 | 24 | 2017 |
| Automatic Sexism Detection with Multilingual Transformer Models M Schütz, J Boeck, D Liakhovets, D Slijepčević, A Kirchknopf, M Hecht, ... arXiv preprint arXiv:2106.04908, 2021 | 23 | 2021 |
| Quality assurance for document image collections in digital preservation R Huber-Mörk, A Schindler International Conference on Advanced Concepts for Intelligent Vision Systems …, 2012 | 20 | 2012 |
| MULTI-TEMPORAL RESOLUTION CONVOLUTIONAL NEURAL NETWORKS FOR THE DCASE ACOUSTIC SCENE CLASSIFICATION TASK A Schindler, T Lidy, A Rauber Detection and Classification of Acoustic Scenes and Events Challenge (DCASE2017), 2017 | 19* | 2017 |
| Inception-based network and multi-spectrogram ensemble applied to predict respiratory anomalies and lung diseases L Pham, H Phan, A Schindler, R King, A Mertins, I McLoughlin 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 17 | 2021 |
| 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 | 17 | 2017 |
| 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 | 16 | 2019 |
| An ensemble of deep learning frameworks for predicting respiratory anomalies L Pham, D Ngo, K Tran, T Hoang, A Schindler, I McLoughlin 2022 44th annual international conference of the IEEE engineering in …, 2022 | 12 | 2022 |
| 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 | 12 | 2012 |
Andreas RauberTU Wien / Vienna University of Technology在 ifs.tuwien.ac.at 的电子邮件经过验证
