Showing results 36 to 55 of 70
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| Issue Date | Title | Involved Person(s) |
| 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 |
| 2015 | PANOPTES : automated article segmentation of newspaper pages for "Real Time Print Media Monitoring“ | Arnold, Marek; Cieliebak, Mark; Stadelmann, Thilo; Stampfli, Jan; Uzdilli, Fatih |
| Oct-2021 | PrepNet : a convolutional auto-encoder to homogenize CT scans for cross-dataset medical image analysis | Amirian, Mohammadreza; Montoya, Javier; Gruss, Jonathan; Stebler, Yves D.; Bozkir, Ahmet Selman, et al |
| 2023 | Quasi-CliquePool : hierarchical graph pooling for graph classification | Ali, Waqar; Vascon, Sebastiano; Stadelmann, Thilo; Pelillo, Marcello |
| 7-Apr-2024 | Rapid optical cytology with deep learning-based cell segmentation for diagnosis of thyroid lesions | Jermain, Peter R.; Oswald, Martin; Langdun, Tenzin; Wright, Santana; Khan, Ashraf, et al |
