Publikationen & Auftritte
Auftritte
- Switch „Scale Up“-Projekt (Aufbau eines „Academic
Cloud Services“), Interview LWS als Big Data Experte, Dezember 2015
- HR Swiss Congress, “Information - Overload? Big Data als Entscheidungshilfe im HR”, September 2014, Keynote-Speaker Marcel Blattner
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Big Data World Congress, “Big Data in HR - Opportunities and Risks”, London, Juni 2014, Marcel Blattner
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Big Data World Congress, “Data Scientist - ein neues Berufsbild”, München, Dezember 2013, Marcel Blattner
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EUROFORUM Big Data Zürich, “Was ist ein Data Scientist?”, Zürich, August 2013, Marcel Blattner
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Preferential Attachment in Online Networks: Measurement and Explanations, Jerome Kunegis, Marcel Blattner, and Christine Moser, 2013, Accepted for the Web Science Conference Web'Sci 2013, Paris
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Recommender Systems for Continuing Education Courses, 18.12.12, accepted at Workshop on Data Analysis and Interpretation for Learning Environments (DAILE’13)
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Recommendation systems in the scope of opinion formation: a model. Accepted for the RecSys2012 Conference in Dublin (9.9.12-13.9.12)
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Invited talk at Netflix, Los Gatos, USA. Title: A physicist view on the Recommender Research Ecosystem, 21.4.2012, Dr. Marcel Blattner
Publikationen
- Beatrice Paoli, Monika Laner, Beat Tödtli und Jouri Semenov, Buch: Frontiers in Data Science, Kapitel 9: The evolution of recommender systems: From the beginning to the Big Data era
- Big Data: Drigend gesucht 2018, Oliver Ittig und Beatrice Paoli
- Künstliche Intelligenz im Schweizer Gesundheitswesen – Chancen und Herausforderungen, Joachim Steinwendner, Martina Perani, IT for Health
- Oliver Ittig, Wie Daten sichtbar werden 2017 (PDF)
- Deep Learning als Chance für KMUs?, Beat Tödtli, Netzwoche, August 2017, (PDF)
- Beat Tödtli, Monika Laner, Jouri Semenov, Beatrice Paoli, Marcel Blattner, and Jérôme Kunegis (2016): Continuous-time quantum walks on directed bipartite graphs, Phys. Rev. A 94, 052338 – Published 30 November 2016 (PDF)
- Beatrice Paoli, Monika Laner, Andrea L. Sablone, Hagen Worch, «Big Data, Big Chance», Computerworld, Oktober 2016 (PDF)
- Mokryn O, Wagner A, Blattner M, Ruppin E, Shavitt Y (2016) The Role of Temporal Trends in Growing Networks. PLoS ONE 11(8): e0156505. doi: 10.1371/journal.pone.0156505, The Role of Temporal Trends in Growing Networks
- Beat Tödtli, Monika Laner, Jérôme Kunegis, Marcel Blattner, Beatrice Paoli (2016), Continuous-Time Quantum Walks on Directed Bipartite Graphs, eprint arXiv:1606.00992
- Blattner, Marcel (2014), Big Data für KMU, Blickpunkt KMU, Ausgabe Mai
- Blattner, Marcel (2014), Big Data – das Potential zum totalen Unsinn, KMU Rundschau, Ausgabe März
- Blattner, Marcel & Meier, Andreas (2013), Web Monitoring, Dpunkt. Verlag GmbH (Oktober 2013), ISBN 978-3864900617
- Blattner, Marcel (2013), Web Monitoring - Eine Einführung. In: HMD Praxis der Wirtschaftsinformatik, October 2013, Volume 50, Issue 5, pp 7-12
- Mokryn Ossi, Blattner Marcel, Yuval Shavit (2013), The Role of Trends in Evolving Networks, Pre-Print arxiv.org
Complex Networks and Recommender Systems
- Paul-Martin Putora, Marcel Blattner, Alexander Papachristofilou, Fabio Mariotti, Beatrice Paoli, Ludwig Plasswilm (2010): Dodes (diagnostic nodes) for Guideline Manipulation, Journal of Radiation Oncology Informatics, Vol 2, No 1
- Blattner, M., Sultanow, E (2010): Semantic methods to capture Awareness in Business Organizations, accepted for publication in J.UCS – Journal of Universal Computer Science. Presented at I-KNOW 2010, Graz. Paper can be downloaded here
- Blattner, Marcel (2009), B-Rank: A top N Recommendation Algorithm, arXiv:0908.2741, in Proceedings of International Multi-Conference on Complexity, Informatics and Cybernetics, Volume 1, pp. 336-341
- Zhang, Yi-Cheng; Blattner, Marcel; Yi-Kuo Yu (2008), Heat Conduction Process on Community Networks as a Recommendation Model, Phys. Rev. Lett. 99, 154301
- Blattner, Marcel (2007), When are recommender system useful? arXiv:0709.2562v1
- Blattner, Marcel; Maslov, Sergei; Zhang, Yi-Cheng (2007), Physica A: Statistical and Theoretical Physics Volume 373
Semantic Web
- Zimmermann, Heinrich (2006), Ontologieentwicklung. In Brodmann, Christoph; Volz, Axel (Hrsg.): Wissensmanagement-Tagung vom 16. November 2006 in Regensdorf. Fernfachhochschule Schweiz. (Tagungsband)
- Jossen, Stephan; Käsermann, Marie-Louise, Altorfer, Andreas; Foppa, Klaus; Zimmermann, Heinrich (2000), The study of emotional processes in communication (II): Peripheral Blood Flow as an Indicator of Emotionalization. Behavior Research Methods.
- Zimmermann, Heinrich (2000), Nachweis und Modellierung eines Inversionsphänomens des Richtungshörens. Inauguraldissertation. Philosophisch-naturwissenschaftliche Fakultät, Universität Bern.
- Seyfried, Michael; Heuerding Alain, Zimmermann, Heinrich (1996), Efficient loop-check for backward proof search in some non-classical logics. In Tableaux 96: Proceedings of the 5th Workshop on Theorem Proving with Analytic Tableaux and Related Methods, LNAI 1071, 210-225. Springer.
- Zimmermann, Heinrich (1995), A Directed Tree Calculus for Minimal Tense Logic. Master’s Thesis. Institut für Informatik und angewandte Mathematik, Universität Bern.