Currently browsing: Items authored or edited by Drahomira Herrmannova https://orcid.org/0000-0002-2730-1546

23 items in this list.
Generated on Mon Aug 3 02:59:50 2020 BST.

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Herrmannova, Drahomira; Pontika, Nancy and Knoth, Petr (2019). Do Authors Deposit on Time? Tracking Open Access Policy Compliance. In: 2019 ACM/IEEE Joint Conference on Digital Libraries, 2-6 Jun 2019, Urbana-Champaign, IL.

2018To Top

Herrmannova, Drahomira; Knoth, Petr and Patton, Robert (2018). Analyzing Citation-Distance Networks for Evaluating Publication Impact. In: 11th edition of the Language Resources and Evaluation Conference, 7-12 May 2018, Miyazaki, Japan.

Herrmannova, Drahomira; Knoth, Petr; Stahl, Christopher; Patton, Robert and Wells, Jack (2018). Text and Graph Based Approach for Analyzing Patterns of Research Collaboration: An analysis of the TrueImpactDataset. In: 1st Workshop on Computational Impact Detection from Text Data (CIDTD), 8 May 2018, Miyazaki, Japan.

Herrmannova, Drahomira; Patton, Robert M.; Knoth, Petr and Stahl, Christopher G. (2018). Do citations and readership identify seminal publications? Scientometrics, 115(1) pp. 239–262.

Herrmannova, Drahomira; Knoth, Petr; Stahl, Christopher; Patton, Robert and Wells, Jack (2018). Research Collaboration Analysis Using Text and Graph Features. In: 19th International Conference on Computational Linguistics and Intelligent Text Processing, 18-24 Mar 2018, Hanoi, Vietnam.

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Herrmannova, Drahomira and Knoth, Petr (2016). Semantometrics: Towards Fulltext-based Research Evaluation. In: Proceedings of the 16th ACM/IEEE-CS Joint Conference on Digital Libraries, 19-23 Jun 2016, Newark, New Jersey, USA, ACM, pp. 235–236.

Herrmannova, Drahomira and Knoth, Petr (2016). Simple Yet Effective Methods for Large-Scale Scholarly Publication Ranking. In: Proceedings of the WSDM Cup 2016 - Entity Ranking Challenge, the 9th ACM International Conference on Web Search and Data Mining, 22-25 Feb 2016, San Francisco, CA, USA.

2015To Top

Herrmannova, Drahomira and Knoth, Petr (2015). Semantometrics: Fulltext-Based Measures for Analysing Research Collaboration. In: Proceedings of the 15th International Conference of the International Society for Scientometrics and Informetrics, 29 Jun - 3 Jul 2015, Istanbul, Turkey, International Society for Scientometrics and Informetrics.

Herrmannova, Drahomira; Hlosta, Martin; Kuzilek, Jakub and Zdrahal, Zdenek (2015). Evaluating Weekly Predictions of At-Risk Students at The Open University: Results and Issues. In: EDEN 2015 Annual Conference Expanding Learning Scenarios: Opening Out the Educational Landscape, 9-12 Jun 2015, Barcelona, Spain.

2014To Top

Wolff, Annika; Zdrahal, Zdenek; Herrmannova, Drahomira; Kuzilek, Jakub and Hlosta, Martin (2014). Developing predictive models for early detection of at-risk students on distance learning modules. In: Machine Learning and Learning Analytics Workshop at The 4th International Conference on Learning Analytics and Knowledge (LAK14), 24-28 Mar 2014, Indianapolis, Indiana, USA.

Hlosta, Martin; Herrmannova, Drahomira; Vachova, Lucie; Kuzilek, Jakub; Zdrahal, Zdenek and Wolff, Annika (2014). Modelling student online behaviour in a virtual learning environment. In: Machine Learning and Learning Analytics workshop at The 4th International Conference on Learning Analytics and Knowledge (LAK14), 24-28 March 2014, Indianapolis, Indiana, USA, 24-28 Mar 2014, Indianapolis, Indiana, USA.

2013To Top

Knoth, Petr and Herrmannova, Drahomira (2013). Simple yet effective methods for cross-lingual link discovery (CLLD) - KMI @ NTCIR-10 CrossLink-2. In: NTCIR-10 Evaluation of Information Access Technologies, 18-21 Jun 2013, Tokyo, Japan, pp. 39–46.

Wolff, Annika; Zdrahal, Zdenek; Herrmannova, Drahomira and Knoth, Petr (2013). Predicting student performance from combined data sources. In: Peña-Ayala, Alejandro ed. Educational Data Mining: Applications and Trends. Studies in Computational Intelligence (524). Cham: Springer International Publishing, pp. 175–202.

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