Adaptive Active Classification of Cell Assay Images. - Nicolas Cebron; Michael R. Berthold (PKDD, 2006)

KNIME: The Konstanz Information Miner. - Michael R. Berthold; Nicolas Cebron; Fabian Dill; Thomas R. Gabriel; Tobias Kötter; Thorsten Meinl; Peter Ohl; Christoph Sieb; Kilian Thiel; Bernd Wiswedel (GfKl, 2007)

Adaptive prototype-based fuzzy classification. - Nicolas Cebron; Michael R. Berthold (Fuzzy Sets Syst., 2008)

Aktives Lernen zur Klassifikation großer Datenmengen mittels Exploration und Spezialisierung. - Nicolas Cebron (2008)

Active learning for object classification: from exploration to exploitation. - Nicolas Cebron; Michael R. Berthold (Data Min. Knowl. Discov., 2009)

KNIME - the Konstanz information miner: version 2.0 and beyond. - Michael R. Berthold; Nicolas Cebron; Fabian Dill; Thomas R. Gabriel; Tobias Kötter; Thorsten Meinl; Peter Ohl; Kilian Thiel; Bernd Wiswedel (SIGKDD Explor., 2009)

Cell Assay Image Classification with Few Labeled Examples. - Nicolas Cebron (BIOCOMP, 2010)

Active learning in parallel universes. - Nicolas Cebron; Michael R. Berthold (CIKM, 2010)

Towards Learning with Objects in a Hierarchical Representation. - Nicolas Cebron (KDIR, 2010)

Decision Tree Induction from Counterexamples. - Nicolas Cebron; Fabian Richter 001; Rainer Lienhart (ICPRAM (2), 2012)

Active improvement of hierarchical object features under budget constraints. - Nicolas Cebron (Frontiers Comput. Sci., 2012)

"I can tell you what it's not": active learning from counterexamples. - Nicolas Cebron; Fabian Richter 001; Rainer Lienhart (Prog. Artif. Intell., 2012)

Learning to Reassemble Shredded Documents. - Fabian Richter 001; Christian X. Ries; Nicolas Cebron; Rainer Lienhart (IEEE Trans. Multim., 2013)

FOVEA: Foveated Image Magnification for Autonomous Navigation. - Chittesh Thavamani; Mengtian Li; Nicolas Cebron; Deva Ramanan (ICCV, 2021)