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Publication search results
found 287 matches
- 2024
- Galamo Monkam, Michael J. De Lucia, Nathaniel D. Bastian:
A topological data analysis approach for detecting data poisoning attacks against machine learning based network intrusion detection systems. Comput. Secur. 144: 103929 (2024) - Michael G. Schimek, Luca Vitale, Bastian Pfeifer, Michele La Rocca:
Effective signal reconstruction from multiple ranked lists via convex optimization. Data Min. Knowl. Discov. 38(3): 1125-1169 (2024) - Michael G. Schimek, Luca Vitale, Bastian Pfeifer, Michele La Rocca:
Correction to: Effective signal reconstruction from multiple ranked lists via convex optimization. Data Min. Knowl. Discov. 38(3): 1170 (2024) - Michael F. Adamer, Edward De Brouwer, Leslie O'Bray, Bastian Rieck:
The magnitude vector of images. J. Appl. Comput. Topol. 8(3): 447-473 (2024) - Max Bastian Mertens, Jona Ruof, Jan Strohbeck, Michael Buchholz:
Fast Long-Term Multi-Scenario Prediction for Maneuver Planning at Unsignalized Intersections. ACC 2024: 111-116 - Jona Ruof, Max Bastian Mertens, Michael Buchholz, Klaus Dietmayer:
Real-Time Spatial Trajectory Planning Under Lateral Constraints. ACC 2024: 3947-3953 - Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Lio, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi:
Position: Topological Deep Learning is the New Frontier for Relational Learning. ICML 2024 - Lukas Heinlein, Roman C. Maron, Achim Hekler, Sarah Haggenmüller, Christoph Wies, Jochen S. Utikal, Friedegund Meier, Sarah Hobelsberger, Frank Friedrich Gellrich, Mildred Sergon, Axel Hauschild, Lars E. French, Lucie Heinzerling, Justin G. Schlager, Kamran Ghoreschi, Max Schlaak, Franz J. Hilke, Gabriela Poch, Sören Korsing, Carola Berking, Markus V. Heppt, Michael Erdmann, Sebastian Haferkamp, Konstantin Drexler, Dirk Schadendorf, Wiebke Sondermann, Matthias Goebeler, Bastian Schilling, Eva Krieghoff-Henning, Titus J. Brinker:
Clinical Melanoma Diagnosis with Artificial Intelligence: Insights from a Prospective Multicenter Study. CoRR abs/2401.14193 (2024) - Max Bastian Mertens, Jona Ruof, Jan Strohbeck, Michael Buchholz:
Fast Long-Term Multi-Scenario Prediction for Maneuver Planning at Unsignalized Intersections. CoRR abs/2401.14879 (2024) - Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Liò, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi:
Position Paper: Challenges and Opportunities in Topological Deep Learning. CoRR abs/2402.08871 (2024) - Yushan Zhang, Bastian Wandt, Maria Magnusson, Michael Felsberg:
DiffSF: Diffusion Models for Scene Flow Estimation. CoRR abs/2403.05327 (2024) - Marvin Klimke, Max Bastian Mertens, Benjamin Völz, Michael Buchholz:
Towards Cooperative Maneuver Planning in Mixed Traffic at Urban Intersections. CoRR abs/2403.16478 (2024) - Yuzhou Nie, Yanting Wang, Jinyuan Jia, Michael J. De Lucia, Nathaniel D. Bastian, Wenbo Guo, Dawn Song:
TrojFM: Resource-efficient Backdoor Attacks against Very Large Foundation Models. CoRR abs/2405.16783 (2024) - Bastian Epping, Alexandre René, Moritz Helias, Michael T. Schaub:
Graph Neural Networks Do Not Always Oversmooth. CoRR abs/2406.02269 (2024) - Zachary Bastiani, Robert M. Kirby, Jacob D. Hochhalter, Shandian Zhe:
Complexity-Aware Deep Symbolic Regression with Robust Risk-Seeking Policy Gradients. CoRR abs/2406.06751 (2024) - Karim Armanious, Maurice Quach, Michael Ulrich, Timo Winterling, Johannes Friesen, Sascha Braun, Daniel Jenet, Yuri Feldman, Eitan Kosman, Philipp Rapp, Volker Fischer, Marc Sons, Lukas Kohns, Daniel Eckstein, Daniela Egbert, Simone Letsch, Corinna Voege, Felix Huttner, Alexander Bartler, Robert Maiwald, Yancong Lin, Ulf Rüegg, Claudius Gläser, Bastian Bischoff, Jascha Freess, Karsten Haug, Kathrin Klee, Holger Caesar:
Bosch Street Dataset: A Multi-Modal Dataset with Imaging Radar for Automated Driving. CoRR abs/2407.12803 (2024) - Peter Neidlinger, Omar S. M. El Nahhas, Hannah Sophie Muti, Tim Lenz, Michael Hoffmeister, Hermann Brenner, Marko van Treeck, Rupert Langer, Bastian Dislich, Hans Michael Behrens, Christoph Röcken, Sebastian Foersch, Daniel Truhn, Antonio Marra, Oliver Lester Saldanha, Jakob Nikolas Kather:
Benchmarking foundation models as feature extractors for weakly-supervised computational pathology. CoRR abs/2408.15823 (2024) - 2023
- Marius Iulian Corici, Fabian Eichhorn, Roland Bless, Michael Gundall, Daniel Lindenschmitt, Bastian Bloessl, Marina Petrova, Lara Wimmer, Ronny Kreuch, Thomas Magedanz, Hans D. Schotten:
Organic 6G Networks: Vision, Requirements, and Research Approaches. IEEE Access 11: 70698-70715 (2023) - Michael Bitzer, Björn Häckel, Daniel Leuthe, Joshua Ott, Bastian Stahl, Jacqueline Strobel:
Managing the Inevitable - A Maturity Model to Establish Incident Response Management Capabilities. Comput. Secur. 125: 103050 (2023) - David A. Bierbrauer, Michael J. De Lucia, Krishna Reddy, Paul Maxwell, Nathaniel D. Bastian:
Transfer learning for raw network traffic detection. Expert Syst. Appl. 211: 118641 (2023) - Bastian Pfeifer, Marcus D. Bloice, Michael G. Schimek:
Parea: Multi-view ensemble clustering for cancer subtype discovery. J. Biomed. Informatics 143: 104406 (2023) - Alessandro Wollek, Sardi Hyska, Bastian O. Sabel, Michael Ingrisch, Tobias Lasser:
WindowNet: Learnable Windows for Chest X-ray Classification. J. Imaging 9(12): 270 (2023) - Christopher Morris, Yaron Lipman, Haggai Maron, Bastian Rieck, Nils M. Kriege, Martin Grohe, Matthias Fey, Karsten M. Borgwardt:
Weisfeiler and Leman go Machine Learning: The Story so far. J. Mach. Learn. Res. 24: 333:1-333:59 (2023) - Ines Standfuß, Christian Geiß, Marlene Kühnl, Ariane Droin, Johannes Mast, Michael Wurm, Stefan Siedentop, Bastian Heider, Hannes Taubenböck:
In the tension between large-scale analysis and accuracy - Identifying and analysing intra-urban (sub-)centre structures comparing official 3D-building models and TanDEM-X nDSMs. Comput. Environ. Urban Syst. 102: 101953 (2023) - Bastian Hagedorn, Bin Fan, Hanfeng Chen, Cris Cecka, Michael Garland, Vinod Grover:
Graphene: An IR for Optimized Tensor Computations on GPUs. ASPLOS (3) 2023: 302-313 - Galamo Monkam, Michael J. De Lucia, Nathaniel D. Bastian:
Preprocessing Network Traffic using Topological Data Analysis for Data Poisoning Detection. DSC 2023: 1-8 - Bastian Wurm, Michael Wessel, Monica Chiarini Tremblay, Michel Avital, Philipp Hukal, Iris A. Junglas:
Digital Trace Data Research in Information Systems: Opportunities and Challenges. ECIS 2023 - Daniel Köhler, Maurice Quach, Michael Ulrich, Frank Meinl, Bastian Bischoff, Holger Blume:
Improved Multi-Scale Grid Rendering of Point Clouds for Radar Object Detection Networks. FUSION 2023: 1-8 - Max Schwarz, Christian Lenz, Raphael Memmesheimer, Bastian Pätzold, Andre Rochow, Michael Schreiber, Sven Behnke:
Robust Immersive Telepresence and Mobile Telemanipulation: NimbRo wins ANA Avatar XPRIZE Finals. Humanoids 2023: 1-8 - Michael Rammert, Bastian Kindermann, Steffen Strese:
Get the Crypto Crowd Going: Evaluating the Signaling Effect of Motivational Cues on Crowd Involvement. ICIS 2023
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