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ORCIDDominik G. Grimm
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- affiliation: Technical University of Munich, Germany
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2020 – today
- 2024
[j11]Josef Eiglsperger
, Florian Haselbeck, Viola Stiele, Claudia Guadarrama Serrano, Kelly Lim-Trinh, Klaus Menrad, Thomas Hannus, Dominik G. Grimm:
Forecasting seasonally fluctuating sales of perishable products in the horticultural industry. Expert Syst. Appl. 249: 123438 (2024)- [j10]Jonathan Pirnay, Dominik G. Grimm:
Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improvement. Trans. Mach. Learn. Res. 2024 (2024) - [c9]Jonathan Pirnay, Dominik G. Grimm:
Take a Step and Reconsider: Sequence Decoding for Self-Improved Neural Combinatorial Optimization. ECAI 2024: 1927-1934 - [i8]Jonathan Pirnay, Dominik G. Grimm:
Self-Improvement for Neural Combinatorial Optimization: Sample without Replacement, but Improvement. CoRR abs/2403.15180 (2024) - [i7]Jonathan Pirnay, Dominik G. Grimm:
Take a Step and Reconsider: Sequence Decoding for Self-Improved Neural Combinatorial Optimization. CoRR abs/2407.17206 (2024) - 2023
- [j9]Quirin Göttl, Jonathan Pirnay, Dominik G. Grimm, Jakob Burger:
Convex Envelope Method for determining liquid multi-phase equilibria in systems with arbitrary number of components. Comput. Chem. Eng. 177: 108321 (2023) - [c8]Jonathan Pirnay, Quirin Göttl, Jakob Burger, Dominik Gerhard Grimm:
Policy-Based Self-Competition for Planning Problems. ICLR 2023 - [i6]Jonathan Pirnay, Quirin Göttl, Jakob Burger, Dominik Gerhard Grimm:
Policy-Based Self-Competition for Planning Problems. CoRR abs/2306.04403 (2023) - [i5]Quirin Göttl, Jonathan Pirnay, Jakob Burger, Dominik G. Grimm:
Deep reinforcement learning uncovers processes for separating azeotropic mixtures without prior knowledge. CoRR abs/2310.06415 (2023) - 2022
- [j8]Nikita Genze, Raymond Ajekwe, Zeynep Güreli, Florian Haselbeck, Michael Grieb, Dominik G. Grimm:
Deep learning-based early weed segmentation using motion blurred UAV images of sorghum fields. Comput. Electron. Agric. 202: 107388 (2022) - [c7]Jan David Hüwel, Florian Haselbeck, Dominik G. Grimm, Christian Beecks:
Dynamically Self-adjusting Gaussian Processes for Data Stream Modelling. KI 2022: 96-114 - 2021
- [j7]Richa Bharti, Dominik G. Grimm:
Current challenges and best-practice protocols for microbiome analysis. Briefings Bioinform. 22(1): 178-193 (2021) - [j6]Anja C. Gumpinger, Bastian Rieck, Dominik G. Grimm, Karsten M. Borgwardt:
Network-guided search for genetic heterogeneity between gene pairs. Bioinform. 37(1): 57-65 (2021) - [c6]Florian Haselbeck, Dominik G. Grimm:
EVARS-GPR: EVent-Triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data. KI 2021: 135-157 - [i4]Quirin Göttl, Dominik G. Grimm, Jakob Burger:
Automated Synthesis of Steady-State Continuous Processes using Reinforcement Learning. CoRR abs/2101.04422 (2021) - [i3]Florian Haselbeck, Dominik G. Grimm:
EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data. CoRR abs/2107.02463 (2021) - 2020
- [j5]Matteo Togninalli, Ümit Seren, Jan A. Freudenthal, J. Grey Monroe, Dazhe Meng, Magnus Nordborg, Detlef Weigel, Karsten M. Borgwardt, Arthur Korte, Dominik G. Grimm:
AraPheno and the AraGWAS Catalog 2020: a major database update including RNA-Seq and knockout mutation data for Arabidopsis thaliana. Nucleic Acids Res. 48(Database-Issue): D1063-D1068 (2020)
2010 – 2019
- 2018
- [j4]Matteo Togninalli, Ümit Seren, Dazhe Meng, Joffrey Fitz, Magnus Nordborg, Detlef Weigel, Karsten M. Borgwardt, Arthur Korte, Dominik G. Grimm:
The AraGWAS Catalog: a curated and standardized Arabidopsis thaliana GWAS catalog. Nucleic Acids Res. 46(Database-Issue): D1150-D1156 (2018) - 2017
- [j3]Ümit Seren, Dominik G. Grimm, Joffrey Fitz, Detlef Weigel, Magnus Nordborg, Karsten M. Borgwardt, Arthur Korte:
AraPheno: a public database for Arabidopsis thaliana phenotypes. Nucleic Acids Res. 45(Database-Issue): D1054-D1059 (2017) - 2015
- [b1]Dominik Gerhard Grimm:
easyGWAS: An Integrated Computational Framework for Advanced Genome-Wide Association Studies. Tübingen University, Germany, 2015 - [j2]Felipe Llinares-López, Dominik G. Grimm, Dean A. Bodenham, Udo Gieraths, Mahito Sugiyama, Beth Rowan, Karsten M. Borgwardt:
Genome-wide detection of intervals of genetic heterogeneity associated with complex traits. Bioinform. 31(12): 240-249 (2015) - 2014
- [c5]Mahito Sugiyama, Chloé-Agathe Azencott, Dominik G. Grimm, Yoshinobu Kawahara, Karsten M. Borgwardt:
Multi-Task Feature Selection on Multiple Networks via Maximum Flows. SDM 2014: 199-207 - 2013
- [j1]Chloé-Agathe Azencott, Dominik G. Grimm, Mahito Sugiyama, Yoshinobu Kawahara, Karsten M. Borgwardt:
Efficient network-guided multi-locus association mapping with graph cuts. Bioinform. 29(13): 171-179 (2013) - [c4]Aasa Feragen, Jens Petersen, Dominik G. Grimm, Asger Dirksen, Jesper Johannes Holst Pedersen, Karsten M. Borgwardt, Marleen de Bruijne:
Geometric Tree Kernels: Classification of COPD from Airway Tree Geometry. IPMI 2013: 171-183 - [i2]Aasa Feragen, Jens Petersen, Dominik G. Grimm, Asger Dirksen, Jesper Johannes Holst Pedersen, Karsten M. Borgwardt, Marleen de Bruijne:
Geometric tree kernels: Classification of COPD from airway tree geometry. CoRR abs/1303.7390 (2013) - 2012
- [i1]Dominik G. Grimm, Bastian Greshake, Stefan Kleeberger, Christoph Lippert, Oliver Stegle, Bernhard Schölkopf, Detlef Weigel, Karsten M. Borgwardt:
easyGWAS: An integrated interspecies platform for performing genome-wide association studies. CoRR abs/1212.4788 (2012) - 2011
- [c3]Guy Tsafnat, Paul Setzermann, Sally R. Partridge, Dominik G. Grimm:
Computational inference of difficult word boundaries in DNA languages. ISABEL 2011: 11:1-11:5
2000 – 2009
- 2008
- [c2]Kerstin Fink, Dominik G. Grimm:
The Use of Business Process Management during the Implementation of Electronic Records Management Systems. Multikonferenz Wirtschaftsinformatik 2008 - 2004
- [c1]Thomas Müllner, Dominik G. Grimm:
Applications and Interfaces for e-Government. EGOV 2004: 472-475
Coauthor Index
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last updated on 2024-10-28 21:18 CET by the dblp team
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