SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle. - Matthias Boehm 001; Iulian Antonov; Mark Dokter; Robert Ginthör; Kevin Innerebner; Florijan Klezin; Stefanie N. Lindstaedt; Arnab Phani; Benjamin Rath (CoRR, 2019)

SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle. - Matthias Boehm 001; Iulian Antonov; Sebastian Baunsgaard; Mark Dokter; Robert Ginthör; Kevin Innerebner; Florijan Klezin; Stefanie N. Lindstaedt; Arnab Phani; Benjamin Rath; Berthold Reinwald; Shafaq Siddiqui; et al. (CIDR, 2020)

ExDRa: Exploratory Data Science on Federated Raw Data. - Sebastian Baunsgaard; Matthias Boehm 001; Ankit Chaudhary; Behrouz Derakhshan; Stefan Geißelsöder; Philipp M. Grulich; Michael Hildebrand; Kevin Innerebner; Volker Markl; Claus Neubauer; Sarah Osterburg; Olga Ovcharenko; et al. (SIGMOD Conference, 2021)

DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines. - Patrick Damme; Marius Birkenbach; Constantinos Bitsakos; Matthias Boehm 001; Philippe Bonnet; Florina M. Ciorba; Mark Dokter; Pawel Dowgiallo; Ahmed Eleliemy; Christian Faerber; Georgios I. Goumas; Dirk Habich; et al. (CIDR, 2022)

Federated Data Preparation, Learning, and Debugging in Apache SystemDS. - Sebastian Baunsgaard; Matthias Boehm 001; Kevin Innerebner; Mito Kehayov; Florian Lackner; Olga Ovcharenko; Arnab Phani; Tobias Rieger; David Weissteiner; Sebastian Benjamin Wrede (CIKM, 2022)

DAPHNE Runtime: Harnessing Parallelism for Integrated Data Analysis Pipelines. - Aristotelis Vontzalidis; Stratos Psomadakis; Constantinos Bitsakos; Mark Dokter; Kevin Innerebner; Patrick Damme; Matthias Boehm 001; Florina M. Ciorba; Ahmed Eleliemy; Vasileios Karakostas; Ales Zamuda; Dimitrios Tsoumakos (Euro-Par Workshops, 2023)

FemQuest - An Interactive Multiplayer Game to Engage Girls in Programming. - Michael Holly; Lisa Habich; Maria Seiser; Florian Glawogger; Kevin Innerebner; Sandra Kupsa; Philipp Einwallner; Johanna Pirker (CoG, 2024)

OnSET: Ontology and Semantic Exploration Toolkit. - Benedikt Kantz; Kevin Innerebner; Peter Waldert; Stefan Lengauer; Elisabeth Lex; Tobias Schreck (SIGIR, 2025)

Differentiable Fuzzy Neural Networks for Recommender Systems. - Stephan Bartl; Kevin Innerebner; Elisabeth Lex (UMAP (Adjunct Publication), 2025)

Hybrid Personalization Using Declarative and Procedural Memory Modules of the Cognitive Architecture ACT-R. - Kevin Innerebner; Dominik Kowald; Markus Schedl; Elisabeth Lex (UMAP (Adjunct Publication), 2025)

Hybrid AI for Human-Centric Personalization (HyPer). - Elisabeth Lex; Kevin Innerebner; Marko Tkalcic; Dominik Kowald; Markus Schedl (UMAP (Adjunct Publication), 2025)

B-PL-PINN: Stabilizing PINN Training with Bayesian Pseudo Labeling. - Kevin Innerebner; Franz M. Rohrhofer; Bernhard C. Geiger (CoRR, 2025)