Detecting Concept Drift with Support Vector Machines. - Ralf Klinkenberg; Thorsten Joachims (ICML, 2000)

Concept Drift and the Importance of Example. - Ralf Klinkenberg; Stefan Rüping 001 (Text Mining, 2003)

Evolutionary Feature Space Transformation Using Type-Restricted Generators. - Oliver Ritthoff; Ralf Klinkenberg (GECCO, 2003)

Learning drifting concepts: Example selection vs. example weighting. - Ralf Klinkenberg (Intell. Data Anal., 2004)

Meta-Learning, Model Selection, and Example Selection in Machine Learning Domains with Concept Drift. - Ralf Klinkenberg (LWA, 2005)

YALE: rapid prototyping for complex data mining tasks. - Ingo Mierswa; Michael Wurst; Ralf Klinkenberg; Martin Scholz; Timm Euler (KDD, 2006)

Workshop on Knowledge Discovery, Data Mining, and Machine Learning and Workshop on Bioinformatics. - Alexander Hinneburg; Ralf Klinkenberg; Ingo Mierswa; Stefan Posch; Steffen Neumann (LWA, 2007)

Boosting classifiers for drifting concepts. - Martin Scholz; Ralf Klinkenberg (Intell. Data Anal., 2007)

Knowledge discovery from data streams. - João Gama 001; Jesús S. Aguilar-Ruiz; Ralf Klinkenberg (Intell. Data Anal., 2008)

Defining software architectures for big data enabled operator support systems. - Benjamin Klöpper; Marcel Dix; Lukas Schorer; Ann Ampofo; Martin Atzmueller; David Arnu; Ralf Klinkenberg (INDIN, 2016)

Density- and Correlation-based Table Extension. - Benedikt Kleppmann; Christian Bizer; Edwin Yaqub; Fabian Temme; Philipp Schlunder; David Arnu; Ralf Klinkenberg (LWDA, 2018)

Interactive Extreme: Scale Analytics Towards Battling Cancer. - Nikos Giatrakos; Nikos Katzouris; Antonios Deligiannakis; Alexander Artikis; Minos N. Garofalakis; George Paliouras; Holger Arndt 003; Raffaele Grasso; Ralf Klinkenberg; Miguel Ponce de Leon; Gian Gaetano Tartaglia; Alfonso Valencia; et al. (IEEE Technol. Soc. Mag., 2019)

Conception of a Reference Architecture for Machine Learning in the Process Industry. - René Wöstmann; Philipp Schlunder; Fabian Temme; Ralf Klinkenberg; Josef Kimberger; Andrea Spichtinger; Markus Goldhacker; Jochen Deuse (IEEE BigData, 2020)

INforE: Interactive Cross-platform Analytics for Everyone. - Nikos Giatrakos; David Arnu; Theodoros Bitsakis; Antonios Deligiannakis; Minos N. Garofalakis; Ralf Klinkenberg; Aris Konidaris; Antonis Kontaxakis; Yannis Kotidis; Vasilis Samoladas; Alkis Simitsis; George Stamatakis 002; et al. (CIKM, 2020)

Online Distributed Maritime Event Detection & Forecasting over Big Vessel Tracking Data. - Marios Vodas; Konstantina Bereta; Dimitris Kladis; Dimitris Zissis; Elias Alevizos; Emmanouil Ntoulias; Alexander Artikis; Antonios Deligiannakis; Antonios Kontaxakis; Nikos Giatrakos; David Arnu; Edwin Yaqub; et al. (IEEE BigData, 2021)

Real-time big data stream analytics and complex event detection: modular visual framework, data science platform, and industry applications. - Ralf Klinkenberg (DEBS, 2021)

Machine Learning: A Catalyst for THz Wireless Networks. - Alexandros-Apostolos A. Boulogeorgos; Edwin Yaqub; Marco Di Renzo; Angeliki Alexiou; Rachana Desai; Ralf Klinkenberg (Frontiers Commun. Networks, 2021)

Proactive Streaming Analytics at Scale: A Journey from the State-of-the-art to a Production Platform. - Nikos Giatrakos; Elias Alevizos; Antonios Deligiannakis; Ralf Klinkenberg; Alexander Artikis (CIKM, 2023)