Showing results 32 to 51 of 70
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Issue Date | Title | Involved Person(s) |
20-Sep-2018 | DeepScores and Deep Watershed Detection : current state and open issues | Elezi, Ismail; Tuggener, Lukas; Pelillo, Marcello; Stadelmann, Thilo |
2-Sep-2020 | DeepScoresV2 | Tuggener, Lukas; Satyawan, Yvan Putra; Pacha, Alexander; Schmidhuber, Jürgen; Stadelmann, Thilo |
6-Nov-2020 | Design patterns for resource-constrained automated deep-learning methods | Tuggener, Lukas; Amirian, Mohammadreza; Benites de Azevedo e Souza, Fernando; von Däniken, Pius; Gupta, Prakhar, et al |
2019 | Efficient deep CNNs for cross-modal automated computer vision under time and space constraints | Amirian, Mohammadreza; Rombach, Katharina; Tuggener, Lukas; Schilling, Frank-Peter; Stadelmann, Thilo |
2022 | FormulaNet : a benchmark dataset for mathematical formula detection | Schmitt-Koopmann, Felix M.; Huang, Elaine M.; Hutter, Hans-Peter; Stadelmann, Thilo; Darvishy, Alireza |
13-May-2022 | Foundations of Data Science : a comprehensive overview formed at the 1st International Symposium on the Science of Data Science | Schilling, Frank-Peter; Flumini, Dandolo; Füchslin, Rudolf Marcel; Gavagnin, Elena; Geller, Armando, et al |
Jun-2023 | From concept to implementation : the data-centric development process for AI in industry | Luley, Paul-Philipp; Deriu, Jan Milan; Yan, Peng; Schatte, Gerrit A.; Stadelmann, Thilo |
2017 | Fully convolutional neural networks for newspaper article segmentation | Meier, Benjamin; Stadelmann, Thilo; Stampfli, Jan; Arnold, Marek; Cieliebak, Mark |
2-Sep-2020 | How (not) to measure bias in face recognition networks | Glüge, Stefan; Amirian, Mohammadreza; Flumini, Dandolo; Stadelmann, Thilo |
26-Jun-2020 | Improving sample efficiency and multi-agent communication in RL-based train rescheduling | Roost, Dano; Meier, Ralph; Huschauer, Stephan; Nygren, Erik; Egli, Adrian, et al |
14-Jun-2019 | Introduction to applied data science | Stadelmann, Thilo; Braschler, Martin; Stockinger, Kurt |
2022 | Is it enough to optimize CNN architectures on ImageNet? | Tuggener, Lukas; Schmidhuber, Jürgen; Stadelmann, Thilo |
20-Jan-2023 | KI als Chance für die angewandten Wissenschaften im Wettbewerb der Hochschulen | Stadelmann, Thilo |
2017 | Learning embeddings for speaker clustering based on voice equality | Lukic, Yanick X.; Vogt, Carlo; Dürr, Oliver; Stadelmann, Thilo |
2018 | Learning neural models for end-to-end clustering | Meier, Benjamin Bruno; Elezi, Ismail; Amirian, Mohammadreza; Dürr, Oliver; Stadelmann, Thilo |
14-Jun-2019 | Lessons learned from challenging data science case studies | Stockinger, Kurt; Braschler, Martin; Stadelmann, Thilo |
Jun-2024 | Machine learning for robust structural uncertainty quantification in fractured reservoirs | Dashti, Ali; Stadelmann, Thilo; Kohl, Thomas |
5-Sep-2022 | Making sense of the natural environment | von der Malsburg, Christoph; Grewe, Benjamin F.; Stadelmann, Thilo |
18-Nov-2020 | Maps for an uncertain future : teaching AI and machine learning using the ATLAS concept | Stadelmann, Thilo; Würsch, Christoph |
30-Mar-2023 | Mitigation of motion-induced artifacts in cone beam computed tomography using deep convolutional neural networks | Amirian, Mohammadreza; Montoya-Zegarra, Javier A.; Herzig, Ivo; Eggenberger Hotz, Peter; Lichtensteiger, Lukas, et al |