• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 63 matches

• 2024
• 
  Caterina Pasquale, Pierrette Baschung Pfister, Manuel Kuhn, Thomas Stöggl:
  Validity and Reliability of the Orthelligent Pro Sensor for Measuring Single-Leg Vertical Jump Height in Healthy Athletic Adults. Sensors 24(12): 3699 (2024)
• 2023
• 
  Jinsung Yoon, Michel J. Mizrahi, Nahid Farhady Ghalaty, Thomas Jarvinen, Ashwin S. Ravi, Peter Brune, Fanyu Kong, Dave Anderson, George Lee, Arie Meir, Farhana Bandukwala, Elli Kanal, Sercan Ö. Arik, Tomas Pfister:
  EHR-Safe: generating high-fidelity and privacy-preserving synthetic electronic health records. npj Digit. Medicine 6 (2023)
• 
  Florian Karl, Tobias Pielok, Julia Moosbauer, Florian Pfisterer, Stefan Coors, Martin Binder, Lennart Schneider, Janek Thomas, Jakob Richter, Michel Lang, Eduardo C. Garrido-Merchán, Jürgen Branke, Bernd Bischl:
  Multi-Objective Hyperparameter Optimization in Machine Learning - An Overview. ACM Trans. Evol. Learn. Optim. 3(4): 16:1-16:50 (2023)
• 
  Leon Pietschmann, Paul-David Zürcher, Erik Bubík, Zhutian Chen, Hanspeter Pfister, Thomas Bohné:
  Quantifying the Impact of XR Visual Guidance on User Performance Using a Large-Scale Virtual Assembly Experiment. IEEE VIS (Short Papers) 2023: 211-215
• 
  Leon Pietschmann, Paul-David Joshua Zuercher, Erik Bubík, Zhutian Chen, Hanspeter Pfister, Thomas Bohné:
  Quantifying the Impact of XR Visual Guidance on User Performance Using a Large-Scale Virtual Assembly Experiment. CoRR abs/2308.03390 (2023)
• 2022
• 
  Florian Pargent, Florian Pfisterer, Janek Thomas, Bernd Bischl:
  Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features. Comput. Stat. 37(5): 2671-2692 (2022)
• 
  Sabine Cornelsen, Maximilian Pfister, Henry Förster, Martin Gronemann, Michael Hoffmann, Stephen G. Kobourov, Thomas Schneck:
  Drawing Shortest Paths in Geodetic Graphs. J. Graph Algorithms Appl. 26(3): 353-361 (2022)
• 
  Thomas C. Tsai, Sercan Ö. Arik, Benjamin H. Jacobson, Jinsung Yoon, Nate Yoder, Dario Sava, Margaret Mitchell, Garth Graham, Tomas Pfister:
  Algorithmic fairness in pandemic forecasting: lessons from COVID-19. npj Digit. Medicine 5 (2022)
• 
  Lennart Schneider, Florian Pfisterer, Paul Kent, Jürgen Branke, Bernd Bischl, Janek Thomas:
  Tackling Neural Architecture Search With Quality Diversity Optimization. AutoML 2022: 9/1-30
• 
  Lennart Schneider, Florian Pfisterer, Janek Thomas, Bernd Bischl:
  A collection of quality diversity optimization problems derived from hyperparameter optimization of machine learning models. GECCO Companion 2022: 2136-2142
• 
  Laura Manduchi, Ricards Marcinkevics, Michela Carlotta Massi, Thomas J. Weikert, Alexander Sauter, Verena Gotta, Timothy Müller, Flavio Vasella, Marian C. Neidert, Marc Pfister, Bram Stieltjes, Julia E. Vogt:
  A Deep Variational Approach to Clustering Survival Data. ICLR 2022
• 
  Lennart Schneider, Florian Pfisterer, Janek Thomas, Bernd Bischl:
  A Collection of Quality Diversity Optimization Problems Derived from Hyperparameter Optimization of Machine Learning Models. CoRR abs/2204.14061 (2022)
• 
  Florian Karl, Tobias Pielok, Julia Moosbauer, Florian Pfisterer, Stefan Coors, Martin Binder, Lennart Schneider, Janek Thomas, Jakob Richter, Michel Lang, Eduardo C. Garrido-Merchán, Jürgen Branke, Bernd Bischl:
  Multi-Objective Hyperparameter Optimization - An Overview. CoRR abs/2206.07438 (2022)
• 
  Lennart Schneider, Florian Pfisterer, Paul Kent, Jürgen Branke, Bernd Bischl, Janek Thomas:
  Tackling Neural Architecture Search With Quality Diversity Optimization. CoRR abs/2208.00204 (2022)
• 2021
• 
  Sercan Ö. Arik, Joel Shor, Rajarishi Sinha, Jinsung Yoon, Joseph R. Ledsam, Long T. Le, Michael W. Dusenberry, Nathanael C. Yoder, Kris Popendorf, Arkady Epshteyn, Johan Euphrosine, Elli Kanal, Isaac Jones, Chun-Liang Li, Beth Luan, Joe Mckenna, Vikas Menon, Shashank Singh, Mimi Sun, Ashwin Sura Ravi, Leyou Zhang, Dario Sava, Kane Cunningham, Hiroki Kayama, Thomas C. Tsai, Daisuke Yoneoka, Shuhei Nomura, Hiroaki Miyata, Tomas Pfister:
  A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan. npj Digit. Medicine 4 (2021)
• 
  Peter Rautek, Matej Mlejnek, Johanna Beyer, Jakob Troidl, Hanspeter Pfister, Thomas Theußl, Markus Hadwiger:
  Objective Observer-Relative Flow Visualization in Curved Spaces for Unsteady 2D Geophysical Flows. IEEE Trans. Vis. Comput. Graph. 27(2): 283-293 (2021)
• 
  Donglai Wei, Kisuk Lee, Hanyu Li, Ran Lu, J. Alexander Bae, Zequan Liu, Lifu Zhang, Márcia dos Santos, Zudi Lin, Thomas D. Uram, Xueying Wang, Ignacio Arganda-Carreras, Brian Matejek, Narayanan Kasthuri, Jeff Lichtman, Hanspeter Pfister:
  AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions. MICCAI (1) 2021: 175-185
• 
  Florian Pargent, Florian Pfisterer, Janek Thomas, Bernd Bischl:
  Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features. CoRR abs/2104.00629 (2021)
• 
  Donglai Wei, Kisuk Lee, Hanyu Li, Ran Lu, J. Alexander Bae, Zequan Liu, Lifu Zhang, Márcia dos Santos, Zudi Lin, Thomas D. Uram, Xueying Wang, Ignacio Arganda-Carreras, Brian Matejek, Narayanan Kasthuri, Jeff Lichtman, Hanspeter Pfister:
  AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions. CoRR abs/2107.05451 (2021)
• 
  Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Srivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard H. Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Tanya Goyal, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, Kalpesh Krishna, Ashutosh Kumar, Stefan Langer, Seungjae Ryan Lee, Corey James Levinson, Hualou Liang, Kaizhao Liang, Zhexiong Liu, Andrey Lukyanenko, Vukosi Marivate, Gerard de Melo, Simon Meoni, Maxime Meyer, Afnan Mir, Nafise Sadat Moosavi, Niklas Muennighoff, Timothy Sum Hon Mun, Kenton Murray, Marcin Namysl, Maria Obedkova, Priti Oli, Nivranshu Pasricha, Jan Pfister, Richard Plant, Vinay Prabhu, Vasile Pais, Libo Qin, Shahab Raji, Pawan Kumar Rajpoot, Vikas Raunak, Roy Rinberg, Nicholas Roberts, Juan Diego Rodriguez, Claude Roux, Paulo Henrique Santos Vasconcellos, Ananya B. Sai, Robin M. Schmidt, Thomas Scialom, Tshephisho Sefara, Saqib Shamsi, Xudong Shen, Yiwen Shi, Haoyue Shi, Anna Shvets, Nick Siegel, Damien Sileo, Jamie Simon, Chandan Singh, Roman Sitelew, Priyank Soni, Taylor Sorensen, William Soto, Aman Srivastava, K. V. Aditya Srivatsa, Tony Sun, Mukund Varma T., A. Tabassum, Fiona Anting Tan, Ryan Teehan, Mo Tiwari, Marie Tolkiehn, Athena Wang, Zijian Wang, Zijie J. Wang, Gloria Wang, Fuxuan Wei, Bryan Wilie, Genta Indra Winata, Xinyi Wu, Witold Wydmanski, Tianbao Xie, Usama Yaseen, Michael A. Yee, Jing Zhang, Yue Zhang:
  NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. CoRR abs/2112.02721 (2021)
• 2020
• 
  Sabine Cornelsen, Maximilian Pfister, Henry Förster, Martin Gronemann, Michael Hoffmann, Stephen G. Kobourov, Thomas Schneck:
  Drawing Shortest Paths in Geodetic Graphs. GD 2020: 333-340
• 
  Sabine Cornelsen, Maximilian Pfister, Henry Förster, Martin Gronemann, Michael Hoffmann, Stephen G. Kobourov, Thomas Schneck:
  Drawing Shortest Paths in Geodetic Graphs. CoRR abs/2008.07637 (2020)
• 2019
• 
  Robert Krüger, Qi Han, Nikolay Ivanov, Sanae Mahtal, Dennis Thom, Hanspeter Pfister, Thomas Ertl:
  Bird's-Eye - Large-Scale Visual Analytics of City Dynamics using Social Location Data. Comput. Graph. Forum 38(3): 595-607 (2019)
• 
  Volker Hovestadt, Kyle S. Smith, Laure Bihannic, Mariella G. Filbin, McKenzie L. Shaw, Alicia Baumgartner, John C. DeWitt, Andrew Groves, Lisa Mayr, Hannah R. Weisman, Alyssa R. Richman, Marni E. Shore, Liliana Goumnerova, Celeste Rosencrance, Robert A. Carter, Timothy N. Phoenix, Jennifer L. Hadley, Yiai Tong, Jim Houston, Richard A. Ashmun, Michael DeCuypere, Tanvi Sharma, Diane Flasch, Antonina Silkov, Keith L. Ligon, Scott L. Pomeroy, Miguel N. Rivera, Orit Rozenblatt-Rosen, Jessica M. Rusert, Robert J. Wechsler-Reya, Xiao-Nan Li, Andreas Peyrl, Johannes Gojo, Dominik Kirchhofer, Daniela Lötsch, Thomas Czech, Christian Dorfer, Christine Haberler, Rene Geyeregger, Angela Halfmann, Charles Gawad, John Easton, Stefan M. Pfister, Aviv Regev, Amar Gajjar, Brent A. Orr, Irene Slavc, Giles W. Robinson, Bradley E. Bernstein, Mario L. Suvà, Paul A. Northcott:
  Resolving medulloblastoma cellular architecture by single-cell genomics. Nat. 572(7767): 74-79 (2019)
• 
  Lucas Hüer, Nico Stadie, Simon Hagen, Oliver Thomas, Hans-Jürgen Pfisterer:
  Der CO2-Kompass: Konzeption und Entwicklung eines Tools zur emissionsarmen Stromnutzung. GI-Jahrestagung 2019: 559-570
• 
  Frederik L. Dennig, Tom Polk, Zudi Lin, Tobias Schreck, Hanspeter Pfister, Michael Behrisch:
  FDive: Learning Relevance Models Using Pattern-based Similarity Measures. VAST 2019: 69-80
• 
  Jann Goschenhofer, Franz Michael Josef Pfister, Kamer Ali Yuksel, Bernd Bischl, Urban Fietzek, Janek Thomas:
  Wearable-Based Parkinson's Disease Severity Monitoring Using Deep Learning. ECML/PKDD (3) 2019: 400-415
• 
  Jann Goschenhofer, Franz Michael Josef Pfister, Kamer Ali Yuksel, Bernd Bischl, Urban Fietzek, Janek Thomas:
  Wearable-based Parkinson's Disease Severity Monitoring using Deep Learning. CoRR abs/1904.10829 (2019)
• 
  Frederik L. Dennig, Tom Polk, Zudi Lin, Tobias Schreck, Hanspeter Pfister, Michael Behrisch:
  FDive: Learning Relevance Models using Pattern-based Similarity Measures. CoRR abs/1907.12489 (2019)
• 
  Florian Pfisterer, Stefan Coors, Janek Thomas, Bernd Bischl:
  Multi-Objective Automatic Machine Learning with AutoxgboostMC. CoRR abs/1908.10796 (2019)

skipping 33 more matches