Nicolas Cebron

According to our database, Nicolas Cebron authored at least 14 papers between 2006 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

FOVEA: Foveated Image Magnification for Autonomous Navigation.

Chittesh Thavamani, Mengtian Li, Nicolas Cebron, Deva Ramanan

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2013

Learning to Reassemble Shredded Documents.

Fabian Richter, Christian X. Ries, Nicolas Cebron, Rainer Lienhart

IEEE Trans. Multim., 2013

2012

"I can tell you what it's not": active learning from counterexamples.

Nicolas Cebron, Fabian Richter, Rainer Lienhart

Prog. Artif. Intell., 2012

Active improvement of hierarchical object features under budget constraints.

Nicolas Cebron

Frontiers Comput. Sci., 2012

Decision Tree Induction from Counterexamples.

Nicolas Cebron, Fabian Richter, Rainer Lienhart

Proceedings of the ICPRAM 2012, 2012

2010

Towards Learning with Objects in a Hierarchical Representation.

Nicolas Cebron

Proceedings of the KDIR 2010, 2010

Active learning in parallel universes.

Nicolas Cebron, Michael R. Berthold

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Cell Assay Image Classification with Few Labeled Examples.

Nicolas Cebron

Proceedings of the International Conference on Bioinformatics & Computational Biology, 2010

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

Active learning for object classification: from exploration to exploitation.

Nicolas Cebron, Michael R. Berthold

Data Min. Knowl. Discov., 2009

2008

Aktives Lernen zur Klassifikation großer Datenmengen mittels Exploration und Spezialisierung.

Nicolas Cebron

PhD thesis, 2008

Adaptive prototype-based fuzzy classification.

Nicolas Cebron, Michael R. Berthold

Fuzzy Sets Syst., 2008

2007

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

Proceedings of the Data Analysis, Machine Learning and Applications, 2007

2006

Adaptive Active Classification of Cell Assay Images.

Nicolas Cebron, Michael R. Berthold

Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006