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Publication search results
found 159 matches
- 2024
- Sarah J. Wait, Marc Expòsit, Sophia Lin, Michael Rappleye, Justin Daho Lee, Samuel A. Colby, Lily Torp, Anthony Asencio, Annette Smith, Michael Regnier, Farid Moussavi-Harami, David Baker, Christina K. Kim, Andre Berndt:
Machine learning-guided engineering of genetically encoded fluorescent calcium indicators. Nat. Comput. Sci. 4(3): 224-236 (2024) - Michael Behringer, Pascal Hirmer, Alejandro Villanueva, Jannis Rapp, Bernhard Mitschang:
Enhancing Data Trustworthiness in Explorative Analysis: An Interactive Approach for Data Quality Monitoring. SN Comput. Sci. 5(5): 465 (2024) - Lily W. Ge, Maryam Hedayati, Yuan Cui, Yiren Ding, Karen Bonilla, Alark Joshi, Alvitta Ottley, Benjamin Bach, Bum Chul Kwon, David N. Rapp, Evan M. Peck, Lace M. K. Padilla, Michael Correll, Michelle A. Borkin, Lane Harrison, Matthew Kay:
Toward a More Comprehensive Understanding of Visualization Literacy. CHI Extended Abstracts 2024: 494:1-494:7 - Michael Behringer, Dennis Treder-Tschechlov, Jannis Rapp:
Empowering Domain Experts to Enhance Clustering Results Through Interactive Refinement. DASFAA (7) 2024: 518-522 - Sebastian Bischoff, Alana Darcher, Michael Deistler, Richard Gao, Franziska Gerken, Manuel Glöckler, Lisa Haxel, Jaivardhan Kapoor, Janne K. Lappalainen, Jakob H. Macke, Guy Moss, Matthijs Pals, Felix Pei, Rachel Rapp, A Erdem Sagtekin, Cornelius Schröder, Auguste Schulz, Zinovia Stefanidi, Shoji Toyota, Linda Ulmer, Julius Vetter:
A Practical Guide to Statistical Distances for Evaluating Generative Models in Science. CoRR abs/2403.12636 (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) - 2023
- Ori Rappel, Michael Amir, Alfred M. Bruckstein:
Stigmergy-based, Dual-Layer Coverage of Unknown Regions. AAMAS 2023: 1439-1447 - Dominic Lohr, Marc Berges, Michael Kohlhase, Dennis Müller, Max Rapp:
The Y-Model - Formalization of Computer Science Tasks in the Context of Adaptive Learning Systems. GECon 2023: 1-6 - Michael Behringer, Pascal Hirmer, Alejandro Villanueva, Jannis Rapp, Bernhard Mitschang:
Unobtrusive Integration of Data Quality in Interactive Explorative Data Analysis. ICEIS (2) 2023: 276-285 - 2022
- Michael Rapp:
Multi-label Rule Learning. Technical University of Darmstadt, Germany, 2022 - Nadav Brandes, Dan Ofer, Yam Peleg, Nadav Rappoport, Michal Linial:
ProteinBERT: a universal deep-learning model of protein sequence and function. Bioinform. 38(8): 2102-2110 (2022) - Eyke Hüllermeier, Marcel Wever, Eneldo Loza Mencía, Johannes Fürnkranz, Michael Rapp:
A flexible class of dependence-aware multi-label loss functions. Mach. Learn. 111(2): 713-737 (2022) - Bernhard Dorninger, Michael Moser, Josef Pichler, Michael Rappl, Jakob Sautter:
On the Creation and Maintenance of a Documentation Generator in an Applied Research Context. DEXA Workshops 2022: 129-140 - Eleonora Mencarini, Amon Rapp, Ashley Colley, Florian Daiber, Michael D. Jones, Felix Kosmalla, Stephan G. Lukosch, Jasmin Niess, Evangelos Niforatos, Pawel W. Wozniak, Massimo Zancanaro:
New Trends in HCI and Sports. MobileHCI (Adjunct) 2022: 6:1-6:5 - Eleonora Mencarini, Amon Rapp, Ashley Colley, Florian Daiber, Michael D. Jones, Felix Kosmalla, Stephan G. Lukosch, Jasmin Niess, Evangelos Niforatos, Pawel W. Wozniak, Massimo Zancanaro:
Proceedings of the New Trends in HCI and Sports Workshop, co-located with the ACM International Conference on Mobile Human-Computer Interaction, NTSPORT@MobileHCI 2022, Vancouver, BC, Canada, October 1, 2022. CEUR Workshop Proceedings 3267, CEUR-WS.org 2022 [contents] - Ori Rappel, Michael Amir, Alfred M. Bruckstein:
Stigmergy-based, Dual-Layer Coverage of Unknown Indoor Regions. CoRR abs/2209.08573 (2022) - 2021
- Chris Vermillion, Mitchell Cobb, Lorenzo Fagiano, Rachel Leuthold, Moritz Diehl, Roy S. Smith, Tony A. Wood, Sebastian Rapp, Roland Schmehl, David J. Olinger, Michael A. Demetriou:
Electricity in the air: Insights from two decades of advanced control research and experimental flight testing of airborne wind energy systems. Annu. Rev. Control. 52: 330-357 (2021) - Michael Rapp, Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz:
Correlation-Based Discovery of Disease Patterns for Syndromic Surveillance. Frontiers Big Data 4: 784159 (2021) - Sebastian Köhler, Michael A. Gargano, Nicolas Matentzoglu, Leigh Carmody, David Lewis-Smith, Nicole A. Vasilevsky, Daniel Danis, Ganna Balagura, Gareth Baynam, Amy M. Brower, Tiffany J. Callahan, Christopher G. Chute, Johanna L. Est, Peter D. Galer, Shiva Ganesan, Matthias Griese, Matthias Haimel, Julia Pazmandi, Marc Hanauer, Nomi L. Harris, Michael Hartnett, Maximilian Hastreiter, Fabian Hauck, Yongqun He, Tim Jeske, Hugh Kearney, Gerhard Kindle, Christoph Klein, Katrin Knoflach, Roland Krause, David Lagorce, Julie A. McMurry, Jillian A. Miller, Monica C. Munoz-Torres, Rebecca L. Peters, Christina K. Rapp, Ana Rath, Shahmir A. Rind, Avi Z. Rosenberg, Michael M. Segal, Markus G. Seidel, Damian Smedley, Tomer Talmy, Yarlalu Thomas, Samuel A. Wiafe, Julie Xian, Zafer Yüksel, Ingo Helbig, Christopher J. Mungall, Melissa A. Haendel, Peter N. Robinson:
The Human Phenotype Ontology in 2021. Nucleic Acids Res. 49(Database-Issue): D1207-D1217 (2021) - Michael Rapp:
BOOMER - An algorithm for learning gradient boosted multi-label classification rules. Softw. Impacts 10: 100137 (2021) - Dipankar Shakya, Ting Wu, Michael E. Knox, Theodore S. Rappaport:
A Wideband Sliding Correlation Channel Sounder in 65 nm CMOS: Evaluation Board Performance. IEEE Trans. Circuits Syst. II Express Briefs 68(9): 3043-3047 (2021) - Lutz Rapp, Michael Eiselt:
Optical Amplifiers for Wideband Optical Transmission Systems. OFC 2021: 1-3 - Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz, Eyke Hüllermeier:
Gradient-Based Label Binning in Multi-label Classification. ECML/PKDD (3) 2021: 462-477 - Dipankar Shakya, Ting Wu, Michael E. Knox, Theodore S. Rappaport:
A Wideband Sliding Correlation Channel Sounder in 65 nm CMOS: Evaluation Board Performance. CoRR abs/2106.06855 (2021) - Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz, Eyke Hüllermeier:
Gradient-based Label Binning in Multi-label Classification. CoRR abs/2106.11690 (2021) - Michael Rapp, Moritz Kulessa, Eneldo Loza Mencía, Johannes Fürnkranz:
Correlation-based Discovery of Disease Patterns for Syndromic Surveillance. CoRR abs/2110.09208 (2021) - 2020
- Max Rapp, Axel Adrian, Michael Kohlhase:
Context Graphs for Legal Reasoning and Argumentation. SAFA@COMMA 2020: 56-67 - Vu-Linh Nguyen, Eyke Hüllermeier, Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz:
On Aggregation in Ensembles of Multilabel Classifiers. DS 2020: 533-547 - Michael Paton, Marlin P. Strub, Travis Brown, Rebecca J. Greene, Jacob Lizewski, Vandan Patel, Jonathan D. Gammell, Issa A. D. Nesnas:
Navigation on the Line: Traversability Analysis and Path Planning for Extreme-Terrain Rappelling Rovers. IROS 2020: 7034-7041 - Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz, Vu-Linh Nguyen, Eyke Hüllermeier:
Learning Gradient Boosted Multi-label Classification Rules. ECML/PKDD (3) 2020: 124-140
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