| Snore sound classification using image-based deep spectrum features S Amiriparian, M Gerczuk, S Ottl, N Cummins, M Freitag, S Pugachevskiy, ... | 326 | 2017 |
| Umbra: A Disk-Based System with In-Memory Performance T Neumann, M Freitag Conference on Innovative Data Systems Research (CIDR '20), 2020 | 228 | 2020 |
| audeep: Unsupervised learning of representations from audio with deep recurrent neural networks M Freitag, S Amiriparian, S Pugachevskiy, N Cummins Journal of Machine Learning Research 18 (173), 1-5, 2018 | 189 | 2018 |
| Sequence to Sequence Autoencoders for Unsupervised Representation Learning from Audio. S Amiriparian, M Freitag, N Cummins, BW Schuller DCASE, 17-21, 2017 | 122 | 2017 |
| Adopting Worst-Case Optimal Joins in Relational Database Systems M Freitag, M Bandle, T Schmidt, A Kemper, T Neumann 46th International Conference on Very Large Data Bases (VLDB 2020) 13 (11 …, 2020 | 96 | 2020 |
| Every Row Counts: Combining Sketches and Sampling for Accurate Group-By Result Estimates M Freitag, T Neumann Conference on Innovative Data Systems Research (CIDR '19), 2019 | 38 | 2019 |
| An'end-to-evolution'hybrid approach for snore sound classification M Freitag, S Amiriparian, N Cummins, M Gerczuk, B Schuller | 32 | 2017 |
| Estimating filtered group-by queries is hard: Deep learning to the rescue A Kipf, M Freitag, D Vorona, P Boncz, T Neumann, A Kemper 1st International Workshop on Applied AI for Database Systems and Applications, 2019 | 26 | 2019 |
| A fusion of deep convolutional generative adversarial networks and sequence to sequence autoencoders for acoustic scene classification S Arniriparian, M Freitag, N Cummins, M Gerczuk, S Pugachevskiy, ... 2018 26th European signal processing conference (EUSIPCO), 977-981, 2018 | 23 | 2018 |
| Seamless Integration of Parquet Files into Data Processing A Rey, M Freitag, T Neumann BTW 2023, 235-258, 2023 | 11 | 2023 |
| Feature selection in multimodal continuous emotion prediction S Amiriparian, M Freitag, N Cummins, B Schuller 2017 Seventh International Conference on Affective Computing and Intelligent …, 2017 | 11 | 2017 |
| Memory-Optimized Multi-Version Concurrency Control for Disk-Based Database Systems M Freitag, A Kemper, T Neumann 48th International Conference on Very Large Data Bases (VLDB 2022) 15 (11 …, 2022 | 9 | 2022 |
| Combining Worst-Case Optimal and Traditional Binary Join Processing M Freitag, M Bandle, T Schmidt, A Kemper, T Neumann http://mediatum.ub.tum.de/node?id=1545314, 2020 | 8 | 2020 |
| Analysis of tool use strategies in evolved neural circuits controlling an articulated limb M Freitag, Y Choe 2016 International Joint Conference on Neural Networks (IJCNN), 4331-4338, 2016 | 4 | 2016 |
| Using a Dynamic Schedule to Increase the Performance of Tiling in Stencil Computations. M Freitag IEEE GSC, 45-48, 2014 | 4 | 2014 |
| Building an HTAP Database System for Modern Hardware MJ Freitag Technische Universität München, 2023 | 1 | 2023 |
| Combining Worst-case Optimal and Traditional Binary Join Processing: Technischer Bericht M Freitag, M Bandle, T Schmidt, A Kemper, T Neumann Technische Universität München, Institut für Informatik, 2020 | | 2020 |
| Bachelors Thesis M Freitag | | 2014 |
Thomas NeumannProfessor, Technische Universität MünchenПодтвержден адрес электронной почты в домене in.tum.de
