Dr. Mark Cieliebak

Dr. Mark Cieliebak

Dr. Mark Cieliebak
ZHAW School of Engineering
Steinberggasse 13
8400 Winterthur

+41 (0) 58 934 72 39
mark.cieliebak@zhaw.ch

Personal profile

Position at the ZHAW

Lecturer for Data Analysis and Software Engineering

http://www.zhaw.ch/~ciel

Professional development teaching

Expertise and research interests

Software Engineering, Development Processes, Social Media, Data Mining, Algorithms and Complexity

Educational background

PhD, ETH Zürich, 2003
Dipl. Informatiker, University of Dortmund, 1999

Professional milestones

Head of IT, Netbreeze GmbH, 2007-2012
Software Engineer, sd&m AG, 2005-2007
Algorithm Designer, Prolim GmbH, 2005
Postdoc, University of Santiago de Chile, 2004

Projects

Project team leader

Project team member

Publications

Books and editorships

Schutzbach, Daniel; Uzdilli, Fatih; Cieliebak, Mark (Hg.). ().

Back to the Future

. Time-Travelling-Debugger als Alternative zu klassischen Debuggern.

Frankfurt am Main: Software & Support Media GmbH.

Peer-reviewed articles/chapters

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Fully Convolutional Neural Networks for Newspaper Article Segmentation

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In: Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition (ICDAR). Kyoto, Japan: CPS. Peer reviewed.

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Swiss-Chocolate: Combining Flipout Regularization and Random Forests with Artificially Built Subsystems to Boost Text-Classification for Sentiment

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Proceedings of the International Workshop on Semantic Evaluation (SemEval-2015) Peer reviewed.

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Toward Automatic Data Curation for Open Data

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ERCIM News, 100. 32-33. Peer reviewed.

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JOINT_FORCES: Unite Competing Sentiment Classifiers with Random Forest

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Proceedings of the International Workshop on Semantic Evaluation (SemEval-2014) Peer reviewed.

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Meta-Classifiers Easily Improve Commercial Sentiment Detection Tools

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Proceedings of the 9th International Conference on Language Resources and Evaluation (LREC 2014) Peer reviewed.

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Swiss-Chocolate: Sentiment Detection using Sparse SVMs and Part-Of-Speech n-Grams

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Proceedings of the International Workshop on Semantic Evaluation (SemEval-2014) Peer reviewed.

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Applied Data Science in Europe

: Challenges for Academia in Keeping Up with a Highly Demanded Topic.

European Computer Science Summit Peer reviewed.

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Potential and Limitations of Commercial Sentiment Detection Tools

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Proceedings of the First International Workshop on Emotion and Sentiment in Social and Expressive Media: approaches and perspectives from AI (ESSEM 2013) , 1096 47/58. Peer reviewed.

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Distributed Computing by Mobile Robots: Gathering

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SIAM Journal on Computing, 41, 4. 829/879. Peer reviewed.

Non-peer-reviewed articles/chapters

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PANOPTES

: Automated Article Segmentation of Newspaper Pages for "Real Time Print Media Monitoring“.

Proceedings of SGAICO Annual Assembly and Workshop 2015

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Flip your classroom – But be aware!

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Lifelong Learning in Europe (LLinE), 4.