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Michael Freitag
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Snore sound classification using image-based deep spectrum features
S Amiriparian, M Gerczuk, S Ottl, N Cummins, M Freitag, S Pugachevskiy, ...
2962017
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
1772018
Umbra: A Disk-Based System with In-Memory Performance
T Neumann, M Freitag
Conference on Innovative Data Systems Research (CIDR '20), 2020
1592020
Sequence to sequence autoencoders for unsupervised representation learning from audio
S Amiriparian, M Freitag, N Cummins, B Schuller
DCASE, 17-21, 2017
1142017
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
632020
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
322019
An'end-to-evolution'hybrid approach for snore sound classification
M Freitag, S Amiriparian, N Cummins, M Gerczuk, B Schuller
312017
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
202019
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
202018
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
102017
Seamless Integration of Parquet Files into Data Processing
A Rey, M Freitag, T Neumann
Gesellschaft für Informatik eV, 2023
52023
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
52022
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
42020
Using a Dynamic Schedule to Increase the Performance of Tiling in Stencil Computations.
M Freitag
IEEE GSC, 45-48, 2014
42014
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
32016
Building an HTAP Database System for Modern Hardware
MJ Freitag
Technische Universität München, 2023
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
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Articles 1–18