Thilo Stadelmann

97 papers A* 2A 3B 5C 1Misc 1Journal 42Unranked 32

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Comprehensive Survey of Agents for Computer Use: Foundations, Challenges, and Future Directions. J. Artif. Intell. Res. Pascal Sager, Benjamin Meyer, Peng Yan, Rebekka von Wartburg-Kottler, Layan Etaiwi, Aref Enayati, Gabriel Nobel, Ahmed Abdulkadir, Benjamin F. Grewe, Thilo Stadelmann
2026	J	`jnl`	LINA's testing infrastructure enables AI to take-off in unmanned aerial vehicles (UAVs). Frontiers Robotics AI Hella A. Bolck, Janik Vollenweider, Fabian Merkli, Alexander Barden, Martin Jajcay, Peter Trempeck, Bosko Rafailovic, Robert Fraefel, Peter M. Lenhart, Ricardo Chavarriaga, Manuel Renold, Jasmina Bogojeska, Thilo Stadelmann, Michel Guillaume
2026	J	`jnl`	Multi-view graph pooling via dominant sets for graph classification. Pattern Recognit. Waqar Ali, Sebastiano Vascon, Thilo Stadelmann, Marcello Pelillo
2026	J	`jnl`	The stochastic nature of machine learning and its implications for high-consequence AI. AI Ethics Thilo Stadelmann, Philipp H. Merkt, Kasey Barr
2025	J	`jnl`	A document is worth a structured record: Principled inductive bias design for document recognition. CoRR Benjamin Meyer, Lukas Tuggener, Sascha Hänzi, Daniel Schmid, Erdal Ayfer, Benjamin F. Grewe, Ahmed Abdulkadir, Thilo Stadelmann
2025	J	`jnl`	AI Agents for Computer Use: A Review of Instruction-based Computer Control, GUI Automation, and Operator Assistants. CoRR Pascal Sager, Benjamin Meyer, Peng Yan, Rebekka von Wartburg-Kottler, Layan Etaiwi, Aref Enayati, Gabriel Nobel, Ahmed Abdulkadir, Benjamin F. Grewe, Thilo Stadelmann
2025	J	`jnl`	Assessing deep learning: a work program for the humanities in the age of artificial intelligence. AI Ethics Jan Segessenmann, Thilo Stadelmann, Andrew Davison, Oliver Dürr
2025	—	`conf`	Deep Retrieval at CheckThat! 2025: Identifying Scientific Papers from Implicit Social Media Mentions via Hybrid Retrieval and Re-Ranking. CLEF (Working Notes) Pascal Sager, Ashwini Kamaraj, Benjamin F. Grewe, Thilo Stadelmann
2025	J	`jnl`	Deep Retrieval at CheckThat! 2025: Identifying Scientific Papers from Implicit Social Media Mentions via Hybrid Retrieval and Re-Ranking. CoRR Pascal Sager, Ashwini Kamaraj, Benjamin F. Grewe, Thilo Stadelmann
2025	J	`jnl`	Efficient rotation invariance in deep neural networks through artificial mental rotation. Frontiers Comput. Sci. Lukas Tuggener, Thilo Stadelmann, Jürgen Schmidhuber
2025	—	`conf`	Hounsfield Unit Ranges as Inductive Bias for Intra-Clinical Learning of Data-Efficient CT Segmentation Models. SDS Benjamin Meyer, Pascal Sager, Ahmed Abdulkadir, Benjamin F. Grewe, Philipp Schuetz, Thilo Stadelmann, Felice Burn
2025	—	`conf`	Learning Actionable World Models for Industrial Process Control. SDS Peng Yan, Ahmed Abdulkadir, Gerrit A. Schatte, Giulia Aguzzi, Joonsu Gha, Nikola Pascher, Matthias Rosenthal, Yunlong Gao, Benjamin F. Grewe, Thilo Stadelmann
2025	J	`jnl`	Learning Actionable World Models for Industrial Process Control. CoRR Peng Yan, Ahmed Abdulkadir, Gerrit A. Schatte, Giulia Aguzzi, Joonsu Gha, Nikola Pascher, Matthias Rosenthal, Yunlong Gao, Benjamin F. Grewe, Thilo Stadelmann
2025	A*	`conf`	The underlying structures of self-attention: symmetry, directionality, and emergent dynamics in Transformer training. ICML Matteo Saponati, Pascal Sager, Pau Vilimelis Aceituno, Thilo Stadelmann, Benjamin F. Grewe
2025	J	`jnl`	The underlying structures of self-attention: symmetry, directionality, and emergent dynamics in Transformer training. CoRR Matteo Saponati, Pascal Sager, Pau Vilimelis Aceituno, Thilo Stadelmann, Benjamin F. Grewe
2024	J	`jnl`	A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions. IEEE Access Peng Yan, Ahmed Abdulkadir, Paul-Philipp Luley, Matthias Rosenthal, Gerrit A. Schatte, Benjamin F. Grewe, Thilo Stadelmann
2024	—	`conf`	A Simulation Study on Energy Optimization in Building Control with Reinforcement Learning. ANNPR Peter Bolt, Volker Ziebart, Christian Jaeger, Nicolas Schmid, Thilo Stadelmann, Rudolf M. Füchslin
2024	—	`conf`	Automated process monitoring in injection molding via representation learning and setpoint regression. SDS Peng Yan, Ahmed Abdulkadir, Giulia Aguzzi, Gerrit A. Schatte, Benjamin F. Grewe, Thilo Stadelmann
2024	—	`conf`	Community-Hop: Enhancing Node Classification Through Community Preference. S+SSPR Ahmed Begga, Waqar Ali, Gabriel Niculescu, Francisco Escolano, Thilo Stadelmann, Marcello Pelillo
2024	J	`jnl`	Deep neural networks for automatic speaker recognition do not learn supra-segmental temporal features. Pattern Recognit. Lett. Daniel Neururer, Volker Dellwo, Thilo Stadelmann
2024	J	`jnl`	Hierarchical Glocal Attention Pooling for Graph Classification. Pattern Recognit. Lett. Waqar Ali, Sebastiano Vascon, Thilo Stadelmann, Marcello Pelillo
2024	J	`jnl`	MathNet: A Data-Centric Approach for Printed Mathematical Expression Recognition. IEEE Access Felix M. Schmitt-Koopmann, Elaine M. Huang, Hans-Peter Hutter, Thilo Stadelmann, Alireza Darvishy
2024	J	`jnl`	MathNet: A Data-Centric Approach for Printed Mathematical Expression Recognition. CoRR Felix M. Schmitt-Koopmann, Elaine M. Huang, Hans-Peter Hutter, Thilo Stadelmann, Alireza Darvishy
2024	J	`jnl`	Real World Music Object Recognition. Trans. Int. Soc. Music. Inf. Retr. Lukas Tuggener, Raphael Emberger, Adhiraj Ghosh, Pascal Sager, Yvan Putra Satyawan, Javier A. Montoya-Zegarra, Simon Goldschagg, Florian Seibold, Urs Gut, Philipp Ackermann, Jürgen Schmidhuber, Thilo Stadelmann
2024	—	`conf`	ScalaGrad: A Statically Typed Automatic Differentiation Library for Safer Data Science. SDS Benjamin Meyer, Thilo Stadelmann, Marcel Lüthi
2024	—	`conf`	So you want your private LLM at home? A survey and benchmark of methods for efficient GPTs. SDS Lukas Tuggener, Pascal Sager, Yassine Taoudi-Benchekroun, Benjamin F. Grewe, Thilo Stadelmann
2024	J	`jnl`	The Dynamic Net Architecture: Learning Robust and Holistic Visual Representations Through Self-Organizing Networks. CoRR Pascal Sager, Jan Milan Deriu, Benjamin F. Grewe, Thilo Stadelmann, Christoph von der Malsburg
2023	J	`jnl`	A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions. CoRR Peng Yan, Ahmed Abdulkadir, Matthias Rosenthal, Gerrit A. Schatte, Benjamin F. Grewe, Thilo Stadelmann
2023	J	`jnl`	Deep Neural Networks for Automatic Speaker Recognition Do Not Learn Supra-Segmental Temporal Features. CoRR Daniel Neururer, Volker Dellwo, Thilo Stadelmann
2023	J	`jnl`	Efficient Rotation Invariance in Deep Neural Networks through Artificial Mental Rotation. CoRR Lukas Tuggener, Thilo Stadelmann, Jürgen Schmidhuber
2023	—	`conf`	From Concept to Implementation: The Data-Centric Development Process for AI in Industry. SDS Paul-Philipp Luley, Jan Milan Deriu, Peng Yan, Gerrit A. Schatte, Thilo Stadelmann
2023	Misc	`conf`	Quasi-CliquePool: Hierarchical Graph Pooling for Graph Classification. SAC Waqar Ali, Sebastiano Vascon, Thilo Stadelmann, Marcello Pelillo
2023	—	`conf`	Video Object Detection for Privacy-Preserving Patient Monitoring in Intensive Care. SDS Raphael Emberger, Jens Michael Boss, Daniel Baumann, Marko Seric, Shufan Huo, Lukas Tuggener, Emanuela Keller, Thilo Stadelmann
2023	J	`jnl`	Video object detection for privacy-preserving patient monitoring in intensive care. CoRR Raphael Emberger, Jens Michael Boss, Daniel Baumann, Marko Seric, Shufan Huo, Lukas Tuggener, Emanuela Keller, Thilo Stadelmann
2022	J	`jnl`	A Theory of Natural Intelligence. CoRR Christoph von der Malsburg, Thilo Stadelmann, Benjamin F. Grewe
2022	J	`jnl`	Bias, awareness, and ignorance in deep-learning-based face recognition. AI Ethics Samuel Wehrli, Corinna Hertweck, Mohammadreza Amirian, Stefan Glüge, Thilo Stadelmann
2022	J	`jnl`	FormulaNet: A Benchmark Dataset for Mathematical Formula Detection. IEEE Access Felix M. Schmitt-Koopmann, Elaine M. Huang, Hans-Peter Hutter, Thilo Stadelmann, Alireza Darvishy
2022	J	`jnl`	Is it enough to optimize CNN architectures on ImageNet? Frontiers Comput. Sci. Lukas Tuggener, Jürgen Schmidhuber, Thilo Stadelmann
2022	J	`jnl`	PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis. CoRR Mohammadreza Amirian, Javier A. Montoya-Zegarra, Jonathan Gruss, Yves D. Stebler, Ahmet Selman Bozkir, Marco Calandri, Friedhelm Schwenker, Thilo Stadelmann
2022	J	`jnl`	Trace and Detect Adversarial Attacks on CNNs using Feature Response Maps. CoRR Mohammadreza Amirian, Friedhelm Schwenker, Thilo Stadelmann
2022	J	`jnl`	Unsupervised Domain Adaptation for Vertebrae Detection and Identification in 3D CT Volumes Using a Domain Sanity Loss. J. Imaging Pascal Sager, Sebastian Salzmann, Felice Burn, Thilo Stadelmann
2021	—	`conf`	A Survey of Un-, Weakly-, and Semi-Supervised Learning Methods for Noisy, Missing and Partial Labels in Industrial Vision Applications. SDS Niclas Simmler, Pascal Sager, Philipp Andermatt, Ricardo Chavarriaga, Frank-Peter Schilling, Matthias Rosenthal, Thilo Stadelmann
2021	J	`jnl`	Is it Enough to Optimize CNN Architectures on ImageNet? CoRR Lukas Tuggener, Jürgen Schmidhuber, Thilo Stadelmann
2021	—	`conf`	PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis. CISP-BMEI Mohammadreza Amirian, Javier A. Montoya-Zegarra, Jonathan Gruss, Yves D. Stebler, Ahmet Selman Bozkir, Marco Calandri, Friedhelm Schwenker, Thilo Stadelmann
2021	—	`conf`	XGBoost Trained on Synthetic Data to Extract Material Parameters of Organic Semiconductors. SDS Evelyne Knapp, Mattia Battaglia, Thilo Stadelmann, Sandra Jenatsch, Beat Ruhstaller
2020	—	`ed.`	Artificial Neural Networks in Pattern Recognition - 9th IAPR TC3 Workshop, ANNPR 2020, Winterthur, Switzerland, September 2-4, 2020, Proceedings ANNPR Frank-Peter Schilling, Thilo Stadelmann
2020	—	`conf`	How (Not) to Measure Bias in Face Recognition Networks. ANNPR Stefan Glüge, Mohammadreza Amirian, Dandolo Flumini, Thilo Stadelmann
2020	—	`conf`	Improving Sample Efficiency and Multi-Agent Communication in RL-based Train Rescheduling. SDS Dano Roost, Ralph Meier, Stephan Huschauer, Erik Nygren, Adrian Egli, Andreas Weiler, Thilo Stadelmann
2020	J	`jnl`	Improving Sample Efficiency and Multi-Agent Communication in RL-based Train Rescheduling. CoRR Dano Roost, Ralph Meier, Stephan Huschauer, Erik Nygren, Adrian Egli, Andreas Weiler, Thilo Stadelmann
2020	B	`conf`	The DeepScoresV2 Dataset and Benchmark for Music Object Detection. ICPR Lukas Tuggener, Yvan Putra Satyawan, Alexander Pacha, Jürgen Schmidhuber, Thilo Stadelmann
2020	—	`conf`	Two to Trust: AutoML for Safe Modelling and Interpretable Deep Learning for Robustness. TAILOR Mohammadreza Amirian, Lukas Tuggener, Ricardo Chavarriaga, Yvan Putra Satyawan, Frank-Peter Schilling, Friedhelm Schwenker, Thilo Stadelmann
2019	—	`book`	Applied Data Science - Lessons Learned for the Data-Driven Business Applied Data Science Martin Braschler, Thilo Stadelmann, Kurt Stockinger
2019	—	`conf`	Automated Machine Learning in Practice: State of the Art and Recent Results. SDS Lukas Tuggener, Mohammadreza Amirian, Katharina Rombach, Stefan Lörwald, Anastasia Varlet, Christian Westermann, Thilo Stadelmann
2019	J	`jnl`	Automated Machine Learning in Practice: State of the Art and Recent Results. CoRR Lukas Tuggener, Mohammadreza Amirian, Katharina Rombach, Stefan Lörwald, Anastasia Varlet, Christian Westermann, Thilo Stadelmann
2019	—	`ch.`	Beyond ImageNet: Deep Learning in Industrial Practice. Applied Data Science Thilo Stadelmann, Vasily Tolkachev, Beate Sick, Jan Stampfli, Oliver Dürr
2019	—	`ch.`	Data Products. Applied Data Science Jürg Meierhofer, Thilo Stadelmann, Mark Cieliebak
2019	—	`ch.`	Data Science. Applied Data Science Martin Braschler, Thilo Stadelmann, Kurt Stockinger
2019	—	`ch.`	Data Scientists. Applied Data Science Thilo Stadelmann, Kurt Stockinger, Gundula Heinatz Bürki, Martin Braschler
2019	—	`ch.`	Introduction to Applied Data Science. Applied Data Science Thilo Stadelmann, Martin Braschler, Kurt Stockinger
2019	—	`ch.`	Lessons Learned from Challenging Data Science Case Studies. Applied Data Science Kurt Stockinger, Martin Braschler, Thilo Stadelmann
2019	—	`ch.`	Organization. Applied Data Science Martin Braschler, Thilo Stadelmann, Kurt Stockinger
2019	—	`ch.`	Unsupervised Learning and Simulation for Complexity Management in Business Operations. Applied Data Science Lukas Hollenstein, Lukas Lichtensteiger, Thilo Stadelmann, Mohammadreza Amirian, Lukas Budde, Jürg Meierhofer, Rudolf M. Füchslin, Thomas Friedli
2018	—	`conf`	Capturing Suprasegmental Features of a Voice with RNNs for Improved Speaker Clustering. ANNPR Thilo Stadelmann, Sebastian Glinski-Haefeli, Patrick Gerber, Oliver Dürr
2018	—	`conf`	Deep Learning in the Wild. ANNPR Thilo Stadelmann, Mohammadreza Amirian, Ismail Arabaci, Marek Arnold, Gilbert François Duivesteijn, Ismail Elezi, Melanie Geiger, Stefan Lörwald, Benjamin Bruno Meier, Katharina Rombach, Lukas Tuggener
2018	J	`jnl`	Deep Learning in the Wild. CoRR Thilo Stadelmann, Mohammadreza Amirian, Ismail Arabaci, Marek Arnold, Gilbert François Duivesteijn, Ismail Elezi, Melanie Geiger, Stefan Lörwald, Benjamin Bruno Meier, Katharina Rombach, Lukas Tuggener
2018	—	`conf`	Deep Watershed Detector for Music Object Recognition. ISMIR Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Thilo Stadelmann
2018	J	`jnl`	Deep Watershed Detector for Music Object Recognition. CoRR Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Thilo Stadelmann
2018	J	`jnl`	DeepScores - A Dataset for Segmentation, Detection and Classification of Tiny Objects. CoRR Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Marcello Pelillo, Thilo Stadelmann
2018	J	`jnl`	DeepScores and Deep Watershed Detection: current state and open issues. CoRR Ismail Elezi, Lukas Tuggener, Marcello Pelillo, Thilo Stadelmann
2018	B	`conf`	DeepScores-A Dataset for Segmentation, Detection and Classification of Tiny Objects. ICPR Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Marcello Pelillo, Thilo Stadelmann
2018	—	`conf`	Learning Neural Models for End-to-End Clustering. ANNPR Benjamin Bruno Meier, Ismail Elezi, Mohammadreza Amirian, Oliver Dürr, Thilo Stadelmann
2018	J	`jnl`	Learning Neural Models for End-to-End Clustering. CoRR Benjamin Bruno Meier, Ismail Elezi, Mohammadreza Amirian, Oliver Durr, Thilo Stadelmann
2018	B	`conf`	Speaker Clustering Using Dominant Sets. ICPR Feliks Hibraj, Sebastiano Vascon, Thilo Stadelmann, Marcello Pelillo
2018	J	`jnl`	Speaker Clustering Using Dominant Sets. CoRR Feliks Hibraj, Sebastiano Vascon, Thilo Stadelmann, Marcello Pelillo
2018	—	`conf`	Trace and Detect Adversarial Attacks on CNNs Using Feature Response Maps. ANNPR Mohammadreza Amirian, Friedhelm Schwenker, Thilo Stadelmann
2017	A	`conf`	Fully Convolutional Neural Networks for Newspaper Article Segmentation. ICDAR Benjamin Bruno Meier, Thilo Stadelmann, Jan Stampfli, Marek Arnold, Mark Cieliebak
2017	—	`conf`	Learning embeddings for speaker clustering based on voice equality. MLSP Yanick X. Lukic, Carlo Vogt, Oliver Durr, Thilo Stadelmann
2016	—	`conf`	Speaker identification and clustering using convolutional neural networks. MLSP Yanick X. Lukic, Carlo Vogt, Oliver Durr, Thilo Stadelmann
2015	J	`jnl`	AI in Switzerland. AI Mag. Jean-Daniel Dessimoz, Jana Koehler, Thilo Stadelmann
2015	J	`jnl`	Toward Automatic Data Curation for Open Data. ERCIM News Thilo Stadelmann, Mark Cieliebak, Kurt Stockinger
2014	J	`jnl`	Data Science für Lehre, Forschung und Praxis. HMD Prax. Wirtsch. Kurt Stockinger, Thilo Stadelmann
2010	B	`conf`	Dimension-Decoupled Gaussian Mixture Model for Short Utterance Speaker Recognition. ICPR Thilo Stadelmann, Bernd Freisleben
2010	B	`conf`	Rethinking Algorithm Design and Development in Speech Processing. ICPR Thilo Stadelmann, Yinghui Wang, Matthew Smith, Ralph Ewerth, Bernd Freisleben
2010	A	`conf`	Visual speaker model exploration. ICME Christian Beecks, Thilo Stadelmann, Bernd Freisleben, Thomas Seidl
2010	—	`—`	Voice modeling methods for automatic speaker recognition. Thilo Stadelmann
2009	J	`jnl`	A scalable service-oriented architecture for multimedia analysis, synthesis and consumption. Int. J. Web Grid Serv. Steffen Heinzl, Dominik Seiler, Ernst Juhnke, Thilo Stadelmann, Ralph Ewerth, Manfred Grauer, Bernd Freisleben
2009	—	`conf`	Eine service-orientierte Grid-Infrastruktur zur Unterstützung medienwissenschaftlicher Filmanalyse. GeNeMe Dominik Seiler, Ralph Ewerth, Steffen Heinzl, Thilo Stadelmann, Markus Mühling, Bernd Freisleben, Manfred Grauer
2009	C	`conf`	LCDL: an extensible framework for wrapping legacy code. iiWAS Ernst Juhnke, Dominik Seiler, Thilo Stadelmann, Tim Dörnemann, Bernd Freisleben
2009	A	`conf`	The Web Service Browser: Automatic Client Generation and Efficient Data Transfer for Web Services. ICWS Steffen Heinzl, Markus Mathes, Thilo Stadelmann, Dominik Seiler, Marcel Diegelmann, Helmut Dohmann, Bernd Freisleben
2009	A*	`conf`	Unfolding speaker clustering potential: a biomimetic approach. ACM Multimedia Thilo Stadelmann, Bernd Freisleben
2009	—	`conf`	University of Marburg at TRECVID 2009: High-Level Feature Extraction. TRECVID Markus Mühling, Ralph Ewerth, Thilo Stadelmann, Bernd Freisleben, Bing Shi
2008	—	`conf`	University of Marburg at TRECVID 2008: High-Level Feature Extraction. TRECVID Markus Mühling, Ralph Ewerth, Thilo Stadelmann, Bernd Freisleben, Bing Shi
2007	—	`conf`	Semantic video analysis for psychological research on violence in computer games. CIVR Markus Mühling, Ralph Ewerth, Thilo Stadelmann, Bernd Freisleben, René Weber, Klaus Mathiak
2007	—	`conf`	University of Marburg at TRECVID 2007: Shot Boundary Detection and High Level Feature Extraction. TRECVID Markus Mühling, Ralph Ewerth, Thilo Stadelmann, Christian Zöfel, Bing Shi, Bernd Freisleben
2006	—	`conf`	Fast and Robust Speaker Clustering Using the Earth Mover'S Distance and Mixmax Models. ICASSP (1) Thilo Stadelmann, Bernd Freisleben
2006	—	`conf`	University of Marburg at TRECVID 2006: Shot Boundary Detection and Rushes Task Results. TRECVID Ralph Ewerth, Markus Mühling, Thilo Stadelmann, Ermir Qeli, Björn Agel, Dominik Seiler, Bernd Freisleben
2005	—	`conf`	University of Marburg at TRECVID 2005: Shot Boundary Detection and Camera Motion Estimation Results. TRECVID Ralph Ewerth, Christian Beringer, Tobias Kopp, Michael Niebergall, Thilo Stadelmann, Bernd Freisleben