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Publication search results
found 90 matches
- 2024
- Upasana Sridhar, Nicholai Tukanov, Elliott Binder, Tze Meng Low, Scott McMillan, Martin D. Schatz:
SMaLL: Software for Rapidly Instantiating Machine Learning Libraries. ACM Trans. Embed. Comput. Syst. 23(3): 46:1-46:25 (2024) - Melissa Donnermann, Sophia C. Steinhaeusser, Martina Lein, Uli Binder, Birgit Lugrin:
Investigating Social Robots in Medical Offices - A Field Study. ARSO 2024: 49-54 - 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) - Bernd Bischl, Martin Binder, Michel Lang, Tobias Pielok, Jakob Richter, Stefan Coors, Janek Thomas, Theresa Ullmann, Marc Becker, Anne-Laure Boulesteix, Difan Deng, Marius Lindauer:
Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges. WIREs Data. Mining. Knowl. Discov. 13(2) (2023) - Amadeu Scheppach, Hüseyin Anil Gündüz, Emilio Dorigatti, Philipp C. Münch, Alice C. McHardy, Bernd Bischl, Mina Rezaei, Martin Binder:
Neural Architecture Search for Genomic Sequence Data. CIBCB 2023: 1-10 - Julio Martinez, Felix Jedidja Binder, Haoliang Wang, Nick Haber, Judith E. Fan, Daniel Yamins:
Measuring and Modeling Physical Intrinsic Motivation. CogSci 2023 - Hüseyin Anil Gündüz, Sheetal Giri, Martin Binder, Bernd Bischl, Mina Rezaei:
Uncertainty Quantification for Deep Learning Models Predicting the Regulatory Activity of DNA Sequences. ICMLA 2023: 566-573 - Karel Klíma, Michal Med, Miroslav Blasko, Petr Kremen, Martin Necaský, Martin Ledvinka, Alice Binderová, Michal Svagr, Filip Kopecký:
Assembly Line: A Tool for Collaborative Modeling of Ontologies in Public Administration. MoDELS (Companion) 2023: 24-29 - Upasana Sridhar, Nicholai Tukanov, Elliott Binder, Tze Meng Low, Scott McMillan, Martin D. Schatz:
SMaLL: A Software Framework for portable Machine Learning Libraries. CoRR abs/2303.04769 (2023) - Susanne Dandl, Andreas Hofheinz, Martin Binder, Bernd Bischl, Giuseppe Casalicchio:
counterfactuals: An R Package for Counterfactual Explanation Methods. CoRR abs/2304.06569 (2023) - Julio Martinez, Felix J. Binder, Haoliang Wang, Nick Haber, Judith E. Fan, Daniel L. K. Yamins:
Measuring and Modeling Physical Intrinsic Motivation. CoRR abs/2305.13452 (2023) - 2022
- Matthias Mehlhose, Guillermo Marcus, Daniel Schäufele, Daniyal Amir Awan, Nikolaus Binder, Martin Kasparick, Renato L. G. Cavalcante, Slawomir Stanczak, Alexander Keller:
GPU-Accelerated Partially Linear Multiuser Detection for 5G and Beyond URLLC Systems. IEEE Access 10: 70937-70946 (2022) - Erich Binder, Joachim Theuermann, Martin Darmann, Hermann Filipot:
Selektive Gassorption von Öl-Papierisolierungen. Elektrotech. Informationstechnik 139(1): 98-109 (2022) - Wadim Koslow, Martin Joachim Kühn, Sebastian C. Binder, Margrit Klitz, Daniel Abele, Achim Basermann, Michael Meyer-Hermann:
Appropriate relaxation of non-pharmaceutical interventions minimizes the risk of a resurgence in SARS-CoV-2 infections in spite of the Delta variant. PLoS Comput. Biol. 18(5) (2022) - Julia Neumair, Martin Elsner, Michael Seidel:
Flow-Based Chemiluminescence Microarrays as Screening Platform for Affinity Binders to Capture and Elute Bacteria. Sensors 22(22): 8606 (2022) - Julia Moosbauer, Martin Binder, Lennart Schneider, Florian Pfisterer, Marc Becker, Michel Lang, Lars Kotthoff, Bernd Bischl:
Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers. IEEE Trans. Evol. Comput. 26(6): 1336-1350 (2022) - Florian Pfisterer, Lennart Schneider, Julia Moosbauer, Martin Binder, Bernd Bischl:
YAHPO Gym - An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization. AutoML 2022: 3/1-39 - Bhawani Shankar, Ke Zeng, Brendan Gunning, Rafael Perez Martinez, Chuanzhe Meng, Jack Flicker, Andrew Binder, Jeramy Ray Dickerson, Robert Kaplar, Srabanti Chowdhury:
Movement of Current Filaments and its Impact on Avalanche Robustness in Vertical GaN P-N diode Under UIS stress. DRC 2022: 1-2 - Johannes Müller, Aleksandra Titova, Hongsik Yoon, Thomas Merbeth, Martin Weisheit, Georg Wolf, Sanjeeb Bharali, Bert Pfefferling, Yuichi Otani, Tetyana Shapoval, Alberto Cagliani, Ferenc Vajda, Pedram Sadeghi, Christiana Villas-Boas Grimm, Frank Krause, Ines Altendorf, Gabriele Congedo, Robert Binder, Joachim Metzger, Alexander Lajn, Markus Langner, Young Seon You, Oliver Kallensee, Vinayak Bharat Naik, Kazutaka Yamane, Steven Soss:
From Emergence to Prevalence: 22FDX® Embedded STT-MRAM. IMW 2022: 1-4 - Bhawani Shankar, Zhengliang Bian, Ke Zeng, Chuanzhe Meng, Rafael Perez Martinez, Srabanti Chowdhury, Brendan Gunning, Jack Flicker, Andrew Binder, Jeramy Ray Dickerson, Robert Kaplar:
Study of Avalanche Behavior in 3 kV GaN Vertical P-N Diode Under UIS Stress for Edge-termination Optimization. IRPS 2022: 2 - Matthias Mehlhose, Guillermo Marcus, Daniel Schäufele, Daniyal Amir Awan, Nikolaus Binder, Martin Kasparick, Renato L. G. Cavalcante, Slawomir Stanczak, Alexander Keller:
Real-Time GPU-Accelerated Machine Learning Based Multiuser Detection for 5G and Beyond. CoRR abs/2201.05024 (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) - 2021
- Candelaria Mosquera, Facundo Nahuel Diaz, Fernando Binder, Jose Martin Rabellino, Sonia Elizabeth Benítez, Alejandro Daniel Beresñak, Alberto Seehaus, Gabriel Ducrey, Jorge Alberto Ocantos, Daniel Roberto Luna:
Chest x-ray automated triage: A semiologic approach designed for clinical implementation, exploiting different types of labels through a combination of four Deep Learning architectures. Comput. Methods Programs Biomed. 206: 106130 (2021) - Martin Binder, Florian Pfisterer, Michel Lang, Lennart Schneider, Lars Kotthoff, Bernd Bischl:
mlr3pipelines - Flexible Machine Learning Pipelines in R. J. Mach. Learn. Res. 22: 184:1-184:7 (2021) - Pascal Schlosser, Jochen Knaus, Maximilian Schmutz, Konstanze Döhner, Christoph Plass, Lars Bullinger, Rainer Claus, Harald Binder, Michael Lübbert, Martin Schumacher:
Netboost: Boosting-Supported Network Analysis Improves High-Dimensional Omics Prediction in Acute Myeloid Leukemia and Huntington's Disease. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2635-2648 (2021) - Alfred Haeussl, Sandra Schüssler, Lucas Paletta, Hermine Fuerli, Beatrix Koch, Thomas Binder, Michael Schneeberger, Jean-Philippe Andreu, Sybille Reidl, Sarah Beranek, Robert Hartmann, Martin Sighart:
Requirements Analysis on Emotional Preferences for Leisure Activities in Virtual Reality for Female Nursing Home Residents - A Mixed Method Approach. AHFE (1) 2021: 453-460 - Omid Safdarzadeh, Martin Weicker, Andreas Binder:
Steady-state Thermal Analysis of the Contact in Bearings Exposed to Electrical Currents. IECON 2021: 1-6 - Catalina Maria Ungaro, Fernando Binder, Daniel Roberto Luna, Javier Alberto Pollan, Bernardo Julio Martínez, Oscar Ignacio Jáuregui, María Florencia Grande Ratti:
Using Informatics Framework in Immunosuppressed or Transplanted Patients for a Preferential Care Route at the Emergency Department. MedInfo 2021: 457-459 - Rasha U. Abbasi, Markus Ackermann, Jenni Adams, Juan Antonio Aguilar Sánchez, Markus Ahlers, Markus Ahrens, Cyril Martin Alispach, Antonio Augusto Alves Jr., Najia Moureen Amin, Rui An, Karen Andeen, Tyler Anderson, I. Ansseau, Gisela Anton, Carlos A. Argüelles, Spencer Axani, Xinhua Bai, Aswathi Balagopal V., Anastasia Maria Barbano, Steven W. Barwick, Benjamin Bastian, Vedant Basu, Volker Baum, S. Baur, Ryan Bay, James J. Beatty, Karl-Heinz Becker, Julia K. Becker Tjus, Chiara Bellenghi, Segev BenZvi, David Berley, Elisa Bernardini, David Z. Besson, Gary Binder, Daniel Bindig, Erik Blaufuss, Summer Blot, Sebastian Böser, Olga Botner, Jakob Böttcher, Etienne Bourbeau, J. Bourbeau, Federica Bradascio, J. Braun, Stephanie Bron, Jannes Brostean-Kaiser, Alexander Burgman, Raffaela S. Busse, Michael A. Campana, Chujie Chen, Dmitry Chirkin, S. Choi, B. A. Clark, Ken Clark, Lew Classen, Alan Coleman, Gabriel H. Collin, Janet Marie Conrad, Paul Coppin, Pablo Correa, Doug F. Cowen, R. Cross, Pranav Dave, Catherine De Clercq, James DeLaunay, Hans Dembinski, Kunal Deoskar, Sam De Ridder, Abhishek Desai, Paolo Desiati, Krijn D. de Vries, Gwenhaël de Wasseige, Meike de With, Tyce DeYoung, Sukeerthi Dharani, Alejandro Diaz, Juan Carlos Díaz-Vélez, Hrvoje Dujmovic, Matthew Dunkman, Michael A. DuVernois, Emily Dvorak, Thomas Ehrhardt, Philipp Eller, Ralph Engel, John Evans, Paul A. Evenson, S. Fahey, Ali R. Fazely, Sebastian Fiedlschuster, Aaron Fienberg, Kirill Filimonov, Chad Finley, Leander Fischer, Derek Fox, Anna Franckowiak, Elizabeth Friedman, Alexander Fritz, Philipp Fürst, Thomas K. Gaisser, Joseph S. Gallagher, Erik Ganster, Simone Garrappa:
A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory. CoRR abs/2101.11589 (2021) - Bernd Bischl, Martin Binder, Michel Lang, Tobias Pielok, Jakob Richter, Stefan Coors, Janek Thomas, Theresa Ullmann, Marc Becker, Anne-Laure Boulesteix, Difan Deng, Marius Lindauer:
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges. CoRR abs/2107.05847 (2021)
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