Ein wissensbasiertes, verteiltes Rechnersystem zur Fehlerdiagnose am schnellen Brüter. - Horst Eggert; Klaus-Peter Scherer; Hans-Werner Kelbassa; Peter Stiller; Clemens Düpmeier (Prozeßrechnersysteme, 1988)

Einsatz wissensbasierter Methoden für Konstruktion, Fertigung und Test von LIGA-Mikrostrukturen. - I. Brauch; Horst Eggert; Klaus-Peter Scherer; Peter Stiller (GI Jahrestagung, 1992)

Designoptimierung in der Mikrosystemtechnilc mit evolutionären Algoritlimen. - Ingo Sieber; Horst Eggert; Helmut Guth; Wilfried Jakob; Klaus-Peter Scherer (Informationstechnik Tech. Inform., 1999)

An Internet Medical Application for the Ophthalmology. - Horst Eggert; Helmut Guth; Andreas Hellmann; Klaus-Peter Scherer; Peter Stiller; Wolfgang Süß (IMSA, 2001)

Simulations and Material Modelling of Special Biological Tissue. - Klaus-Peter Scherer; Horst Eggert; Helmut Guth; Silke Halstenberg; Alexander Quinte (Modelling, Identification and Control, 2003)

Knowledge Based Concepts for Design Support of an Artificial Accommodation System. - Klaus-Peter Scherer (ICSOFT (PL/DPS/KE/MUSE), 2007)

Knowledge Representations of Constraints for Patient Specific IOL-Destination. - Klaus-Peter Scherer (ICSOFT (PL/DPS/KE), 2008)

New Concepts for Knowledge based Cataract Surgery Assistance - A First Clinical Approach. - Klaus-Peter Scherer; Constantin Rieder; Christian Henninger; Joachim Baumeister; Jochen Reutelshöfer (ICSOFT, 2013)

An approach to visualize ophthalmic ontologies. - Christian Henninger; Constantin Rieder; Klaus-Peter Scherer (LWA, 2013)

Subgroup Discovery as a Method for Generating Test Ontologies. - Daniel Knoell; Constantin Rieder; Martin Atzmueller; Klaus-Peter Scherer (LWA, 2015)

BISHOP - Big Data Driven Self-Learning Support for High-performance Ontology Population. - Daniel Knöll; Martin Atzmueller; Constantin Rieder; Klaus-Peter Scherer (LWDA, 2016)

A Scalable Framework for Data-Driven Ontology Evaluation. - Daniel Knoell; Martin Atzmueller; Constantin Rieder; Klaus-Peter Scherer (WM, 2017)

Towards Classification of Technical Sound Events with Deep Learning Models. - Constantin Rieder; Markus Germann; Klaus-Peter Scherer (WM, 2019)

Technical Sound Event Classification Applying Recurrent and Convolutional Neural Networks. - Constantin Rieder; Markus Germann; Samuel Mezger; Klaus-Peter Scherer (DeLTA, 2020)

Ontology based Information Management for Industrial Applications. - Markus Germann; Constantin Rieder; Klaus-Peter Scherer (ICAART (2), 2020)

Approaches towards Resource-saving and Explainability/Transparency of Deep-learning-based Image Classification in Industrial Applications. - Constantin Rieder; Markus Germann; Samuel Mezger; Klaus-Peter Scherer (DeLTA, 2021)