Towards interactive Machine Learning (iML): Applying Ant Colony Algorithms to Solve the Traveling Salesman Problem with the Human-in-the-Loop Approach. - Andreas Holzinger; Markus Plass; Katharina Holzinger; Gloria Cerasela Crisan; Camelia-Mihaela Pintea; Vasile Palade (CD-ARES, 2016)

A glass-box interactive machine learning approach for solving NP-hard problems with the human-in-the-loop. - Andreas Holzinger; Markus Plass; Katharina Holzinger; Gloria Cerasela Crisan; Camelia-Mihaela Pintea; Vasile Palade (CoRR, 2017)

Interactive machine learning: experimental evidence for the human in the algorithmic loop - A case study on Ant Colony Optimization. - Andreas Holzinger; Markus Plass; Michael D. Kickmeier-Rust; Katharina Holzinger; Gloria Cerasela Crisan; Camelia-Mihaela Pintea; Vasile Palade (Appl. Intell., 2019)

Reconstruct and Visualise Hierarchical Relationships in Whole Slide Images. - Markus Plass; Philipp Faulhammer; Robert Reihs; Andreas Holzinger; Kurt Zatloukal; Heimo Müller (IV, 2020)

Predicting Prostate Cancer-Specific Mortality with A.I.-based Gleason Grading. - Ellery Wulczyn; Kunal Nagpal; Matthew Symonds; Melissa Moran; Markus Plass; Robert Reihs; Farah Nader; Fraser Tan; Yuannan Cai; Trissia Brown; Isabelle Flament-Auvigne; Mahul B. Amin; et al. (CoRR, 2020)

Interpretable survival prediction for colorectal cancer using deep learning. - Ellery Wulczyn; David F. Steiner; Melissa Moran; Markus Plass; Robert Reihs; Fraser Tan; Isabelle Flament-Auvigne; Trissia Brown; Peter Regitnig; Po-Hsuan Cameron Chen; Narayan Hegde; Apaar Sadhwani; et al. (npj Digit. Medicine, 2021)

The Common Provenance Model: Capturing Distributed Provenance in Life Sciences Processes. - Francesca Frexia; Cecilia Mascia; Rudolf Wittner; Markus Plass; Heimo Müller; Jörg Geiger; Petr Holub (MIE, 2022)

Personas for Artificial Intelligence (AI) an Open Source Toolbox. - Andreas Holzinger; Michaela Kargl; Bettina Kipperer; Peter Regitnig; Markus Plass; Heimo Müller (IEEE Access, 2022)

Understanding and Explaining Diagnostic Paths: Toward Augmented Decision Making. - Markus Plass; Michaela Kargl; Patrick Nitsche; Emilian Jungwirth; Andreas Holzinger; Heimo Müller (IEEE Computer Graphics and Applications, 2022)

Recommendations on test datasets for evaluating AI solutions in pathology. - André Homeyer; Christian Geißler; Lars Ole Schwen; Falk Zakrzewski; Theodore Evans; Klaus Strohmenger; Max Westphal; Roman David Bülow; Michaela Kargl; Aray Karjauv; Isidre Munné-Bertran; Carl Orge Retzlaff; et al. (CoRR, 2022)

The explainability paradox: Challenges for xAI in digital pathology. - Theodore Evans; Carl Orge Retzlaff; Christian Geißler; Michaela Kargl; Markus Plass; Heimo Müller; Tim-Rasmus Kiehl; Norman Zerbe; Andreas Holzinger (Future Gener. Comput. Syst., 2022)

The Tower of Babel in Explainable Artificial Intelligence (XAI). - David Schneeberger; Richard Röttger; Federico Cabitza; Andrea Campagner; Markus Plass; Heimo Müller; Andreas Holzinger (CD-MAKE, 2023)

Joining Forces for Pathology Diagnostics with AI Assistance: The EMPAIA Initiative. - Norman Zerbe; Lars Ole Schwen; Christian Geißler; Katja Wiesemann; Tom Bisson; Peter Boor; Rita Carvalho; Michael Franz; Christoph Jansen; Tim-Rasmus Kiehl; Björn Lindequist; Nora Charlotte Pohlan; et al. (CoRR, 2024)

Fine-tuning language model embeddings to reveal domain knowledge: An explainable artificial intelligence perspective on medical decision making. - Ceca Kraisnikovic; Robert Harb; Markus Plass; Wael Al Zoughbi; Andreas Holzinger; Heimo Müller (Eng. Appl. Artif. Intell., 2025)