Applications and Interfaces for e-Government. - Thomas Müllner; Dominik G. Grimm (EGOV, 2004)

The Use of Business Process Management during the Implementation of Electronic Records Management Systems. - Kerstin Fink; Dominik G. Grimm (Multikonferenz Wirtschaftsinformatik, 2008)

Computational inference of difficult word boundaries in DNA languages. - Guy Tsafnat; Paul Setzermann; Sally R. Partridge; Dominik G. Grimm (ISABEL, 2011)

easyGWAS: An integrated interspecies platform for performing genome-wide association studies - Dominik G. Grimm; Bastian Greshake; Stefan Kleeberger; Christoph Lippert; Oliver Stegle; Bernhard Schölkopf; Detlef Weigel; Karsten M. Borgwardt (CoRR, 2012)

Geometric Tree Kernels: Classification of COPD from Airway Tree Geometry. - Aasa Feragen; Jens Petersen; Dominik G. Grimm; Asger Dirksen; Jesper Johannes Holst Pedersen; Karsten M. Borgwardt; Marleen de Bruijne (IPMI, 2013)

Efficient network-guided multi-locus association mapping with graph cuts. - Chloé-Agathe Azencott; Dominik G. Grimm; Mahito Sugiyama; Yoshinobu Kawahara; Karsten M. Borgwardt (Bioinform., 2013)

Multi-Task Feature Selection on Multiple Networks via Maximum Flows. - Mahito Sugiyama; Chloé-Agathe Azencott; Dominik G. Grimm; Yoshinobu Kawahara; Karsten M. Borgwardt (SDM, 2014)

Genome-wide detection of intervals of genetic heterogeneity associated with complex traits. - Felipe Llinares-López; Dominik G. Grimm; Dean A. Bodenham; Udo Gieraths; Mahito Sugiyama; Beth Rowan; Karsten M. Borgwardt (Bioinform., 2015)

easyGWAS: An Integrated Computational Framework for Advanced Genome-Wide Association Studies - Dominik Gerhard Grimm (2015)

AraPheno: a public database for Arabidopsis thaliana phenotypes. - Ümit Seren; Dominik G. Grimm; Joffrey Fitz; Detlef Weigel; Magnus Nordborg; Karsten M. Borgwardt; Arthur Korte (Nucleic Acids Res., 2017)

The AraGWAS Catalog: a curated and standardized Arabidopsis thaliana GWAS catalog. - Matteo Togninalli; Ümit Seren; Dazhe Meng; Joffrey Fitz; Magnus Nordborg; Detlef Weigel; Karsten M. Borgwardt; Arthur Korte; Dominik G. Grimm (Nucleic Acids Res., 2018)

AraPheno and the AraGWAS Catalog 2020: a major database update including RNA-Seq and knockout mutation data for Arabidopsis thaliana. - Matteo Togninalli; Ümit Seren; Jan A. Freudenthal; J. Grey Monroe; Dazhe Meng; Magnus Nordborg; Detlef Weigel; Karsten M. Borgwardt; Arthur Korte; Dominik G. Grimm (Nucleic Acids Res., 2020)

EVARS-GPR: EVent-Triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data. - Florian Haselbeck; Dominik G. Grimm (KI, 2021)

Current challenges and best-practice protocols for microbiome analysis. - Richa Bharti; Dominik G. Grimm (Briefings Bioinform., 2021)

Network-guided search for genetic heterogeneity between gene pairs. - Anja C. Gumpinger; Bastian Rieck; Dominik G. Grimm; Karsten M. Borgwardt (Bioinform., 2021)

Automated Synthesis of Steady-State Continuous Processes using Reinforcement Learning. - Quirin Göttl; Dominik G. Grimm; Jakob Burger (CoRR, 2021)

Dynamically Self-adjusting Gaussian Processes for Data Stream Modelling. - Jan David Hüwel; Florian Haselbeck; Dominik G. Grimm; Christian Beecks (KI, 2022)

Efficient permutation-based genome-wide association studies for normal and skewed phenotypic distributions. - Maura John; Markus J. Ankenbrand; Carolin Artmann; Jan A. Freudenthal; Arthur Korte; Dominik G. Grimm (Bioinform., 2022)

Deep learning-based early weed segmentation using motion blurred UAV images of sorghum fields. - Nikita Genze; Raymond Ajekwe; Zeynep Güreli; Florian Haselbeck; Michael Grieb; Dominik G. Grimm (Comput. Electron. Agric., 2022)

Policy-Based Self-Competition for Planning Problems. - Jonathan Pirnay; Quirin Göttl; Jakob Burger; Dominik Gerhard Grimm (ICLR, 2023)

Deep reinforcement learning uncovers processes for separating azeotropic mixtures without prior knowledge. - Quirin Göttl; Jonathan Pirnay; Jakob Burger; Dominik G. Grimm (CoRR, 2023)

Convex Envelope Method for determining liquid multi-phase equilibria in systems with arbitrary number of components. - Quirin Göttl; Jonathan Pirnay; Dominik G. Grimm; Jakob Burger (Comput. Chem. Eng., 2023)

Take a Step and Reconsider: Sequence Decoding for Self-Improved Neural Combinatorial Optimization. - Jonathan Pirnay; Dominik G. Grimm (ECAI, 2024)

GraphXForm: Graph transformer for computer-aided molecular design with application to extraction. - Jonathan Pirnay; Jan G. Rittig; Alexander B. Wolf; Martin Grohe; Jakob Burger; Alexander Mitsos; Dominik G. Grimm (CoRR, 2024)

Forecasting seasonally fluctuating sales of perishable products in the horticultural industry. - Josef Eiglsperger; Florian Haselbeck; Viola Stiele; Claudia Guadarrama Serrano; Kelly Lim-Trinh; Klaus Menrad; Thomas Hannus; Dominik G. Grimm (Expert Syst. Appl., 2024)

Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improvement. - Jonathan Pirnay; Dominik G. Grimm (Trans. Mach. Learn. Res., 2024)

Deep reinforcement learning enables conceptual design of processes for separating azeotropic mixtures without prior knowledge. - Quirin Göttl; Jonathan Pirnay; Jakob Burger; Dominik G. Grimm (Comput. Chem. Eng., 2025)