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Drahomira Herrmannova
Drahomira Herrmannova
elsevier.com의 이메일 확인됨 - 홈페이지
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OU Analyse: analysing at-risk students at The Open University
J Kuzilek, M Hlosta, D Herrmannova, Z Zdrahal, J Vaclavek, A Wolff
Learning Analytics Review, 1-16, 2015
1382015
Developing predictive models for early detection of at-risk students on distance learning modules
A Wolff, Z Zdrahal, D Herrmannova, J Kuzilek, M Hlosta
Learning Analytics and Knowledge (LAK) 2014 -- Machine Learning and Learning …, 2014
862014
An analysis of the microsoft academic graph
D Herrmannova, P Knoth
D-lib Magazine 22 (9/10), 37, 2016
522016
Predicting Student Performance from Combined Data Sources
A Wolff, Z Zdrahal, D Herrmannova, P Knoth
Educational Data Mining, 175-202, 2013
502013
Towards Semantometrics: A New Semantic Similarity Based Measure for Assessing a Research Publication's Contribution
P Knoth, D Herrmannova
D-Lib Magazine 20 (11/12), 2014
462014
Modelling student online behaviour in a virtual learning environment
M Hlosta, D Herrmannova, L Vachova, J Kuzilek, Z Zdrahal, A Wolff
Learning Analytics and Knowledge (LAK) 2014 -- Machine Learning and Learning …, 2014
30*2014
Visual search for supporting content exploration in large document collections
D Herrmannova, P Knoth
D-Lib Magazine 18 (7/8), 2012
192012
Semantometrics in Coauthorship Networks: Fulltext-based Approach for Analysing Patterns of Research Collaboration
D Herrmannova, P Knoth
D-Lib Magazine 21 (11/12), 2015
132015
Do citations and readership identify seminal publications?
D Herrmannova, RM Patton, P Knoth, CG Stahl
Scientometrics 115 (1), 239-262, 2018
92018
DeepPDF: A Deep Learning Approach to Extracting Text from PDFs
CG Stahl, SR Young, D Herrmannova, RM Patton, JC Wells
Proceedings of the Seventh International Workshop on Mining Scientific …, 2018
72018
Evaluating Weekly Predictions of At-Risk Students at The Open University: Results and Issues
D Herrmannova, M Hlosta, J Kuzilek, Z Zdrahal
EDEN 2015, 200-208, 2015
72015
Citations and Readership are Poor Indicators of Research Excellence: Introducing TrueImpactDataset, a New Dataset for Validating Research Evaluation Metrics
D Herrmannova, RM Patton, P Knoth, CG Stahl
Proceedings of the 1st Workshop on Scholarly Web Mining, 41-48, 2017
62017
Do Authors Deposit on Time? Tracking Open Access Policy Compliance
D Herrmannova, N Pontika, P Knoth
2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL), 206-216, 2019
52019
Simple Yet Effective Methods for Large-Scale Scholarly Publication Ranking: KMi and Mendeley (team BletchleyPark) at WSDM Cup 2016
D Herrmannova, P Knoth
WSDM Cup 2016 - Entity Ranking Challenge Workshop at International …, 2016
5*2016
Semantometrics: Towards fulltext-based research evaluation
D Herrmannova, P Knoth
Proceedings of the 16th ACM/IEEE-CS on joint conference on digital libraries …, 2016
42016
A meta-analysis of semantic classification of citations
SN Kunnath, D Herrmannova, D Pride, P Knoth
Quantitative Science Studies 2 (4), 1170-1215, 2021
32021
Scalable knowledge graph analytics at 136 petaflop/s
R Kannan, P Sao, H Lu, D Herrmannova, V Thakkar, R Patton, R Vuduc, ...
SC20: International Conference for High Performance Computing, Networking …, 2020
32020
Overview of the 2021 SDP 3C Citation Context Classification Shared Task
SN Kunnath, D Pride, D Herrmannova, P Knoth
Association for Computational Linguistics, 2021
22021
Overview of the Second Workshop on Scholarly Document Processing
I Beltagy, A Cohan, G Feigenblat, D Freitag, T Ghosal, K Hall, ...
Proceedings of the Second Workshop on Scholarly Document Processing, 159-165, 2021
22021
Challenges in Automated Detection of COVID-19 Misinformation
D Herrmannova, G Thakur, J Grant, V Tansakul, E Bryan, O Kotevska, ...
Workshop on Human Aspects of Misinformation Online at the 2021 ACM CHI …, 2021
22021
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