Visual Search for Supporting Content Exploration in Large Document Collections. - Drahomira Herrmannova; Petr Knoth (D Lib Mag., 2012)

Simple Yet Effective Methods for Cross-Lingual Link Discovery (CLLD) - KMI @ NTCIR-10 CrossLink-2. - Petr Knoth; Drahomira Herrmannova (NTCIR, 2013)

Modelling student online behaviour in a virtual learning environment. - Martin Hlosta; Drahomira Herrmannova; Lucie Vachova; Jakub Kuzilek; Zdenek Zdráhal; Annika Wolff (LAK Workshops, 2014)

Developing predictive models for early detection of at-risk students on distance learning modules. - Annika Wolff; Zdenek Zdráhal; Drahomira Herrmannova; Jakub Kuzilek; Martin Hlosta (LAK Workshops, 2014)

Towards Semantometrics: A New Semantic Similarity Based Measure for Assessing a Research Publication's Contribution. - Petr Knoth; Drahomira Herrmannova (D Lib Mag., 2014)

Semantometrics: Fulltext-Based Measures for Analysing Research Collaboration. - Drahomira Herrmannova; Petr Knoth (ISSI, 2015)

WOSP2015: 4th International Workshop on Mining Scientific Publications. - Petr Knoth; Kris Jack; Lucas Anastasiou; Nuno Freire 001; Nancy Pontika; Drahomira Herrmannova (JCDL, 2015)

Semantometrics in Coauthorship Networks: Fulltext-based Approach for Analysing Patterns of Research Collaboration. - Drahomira Herrmannova; Petr Knoth (D Lib Mag., 2015)

Semantometrics: Towards Fulltext-based Research Evaluation. - Drahomira Herrmannova; Petr Knoth (JCDL, 2016)

5th International Workshop on Mining Scientific Publications (WOSP 2016). - Petr Knoth; Lucas Anastasiou; Drahomira Herrmannova; Nancy Pontika (JCDL, 2016)

Simple Yet Effective Methods for Large-Scale Scholarly Publication Ranking. - Drahomira Herrmannova; Petr Knoth (CoRR, 2016)

Current Research on Mining Scientific Publications. - Drahomira Herrmannova; Petr Knoth (D Lib Mag., 2016)

An Analysis of the Microsoft Academic Graph. - Drahomira Herrmannova; Petr Knoth (D Lib Mag., 2016)

Audience Based View of Publication Impact. - Robert M. Patton; Drahomira Herrmannova; Christopher G. Stahl; Jack C. Wells; Thomas E. Potok (WOSP@JCDL, 2017)

Citations and Readership are Poor Indicators of Research Excellence: Introducing TrueImpactDataset, a New Dataset for Validating Research Evaluation Metrics. - Drahomira Herrmannova; Robert M. Patton; Petr Knoth; Christopher G. Stahl (SWM@WSDM, 2017)

Workshop on Scholarly Web Mining (SWM 2017). - Robert M. Patton; Thomas E. Potok; Petr Knoth; Drahomira Herrmannova (WSDM, 2017)

Unsupervised Identification of Study Descriptors in Toxicology Research: An Experimental Study. - Drahomira Herrmannova; Steven Robert Young; Robert M. Patton; Christopher G. Stahl; Nicole C. Kleinstreuer; Mary S. Wolfe (Louhi@EMNLP, 2018)

Research Collaboration Analysis Using Text and Graph Features. - Drahomira Herrmannova; Petr Knoth; Christopher G. Stahl; Robert M. Patton; Jack C. Wells (CICLing (2), 2018)

Analyzing Citation-Distance Networks for Evaluating Publication Impact. - Drahomira Herrmannova; Petr Knoth; Robert M. Patton (LREC, 2018)

Do citations and readership identify seminal publications? - Drahomira Herrmannova; Robert M. Patton; Petr Knoth; Christopher G. Stahl (Scientometrics, 2018)

Do Authors Deposit on Time? Tracking Open Access Policy Compliance. - Drahomira Herrmannova; Nancy Pontika; Petr Knoth (JCDL, 2019)

8th International Workshop on Mining Scientific Publications (WOSP 2020). - Petr Knoth; Suchetha N. Kunnath; Bikash Gyawali; David Pride; Christopher G. Stahl; Drahomira Herrmannova (JCDL, 2020)

Scalable knowledge graph analytics at 136 petaflop/s. - Ramakrishnan Kannan; Piyush Sao; Hao Lu 001; Drahomira Herrmannova; Vijay Thakkar; Robert M. Patton; Richard W. Vuduc; Thomas E. Potok (SC, 2020)

Smoky Mountain Data Challenge 2020: An Open Call to Solve Data Problems in the Areas of Neutron Science, Material Science, Urban Modeling and Dynamics, Geophysics, and Biomedical Informatics. - Suzanne Parete-Koon; Peter F. Peterson; Garrett E. Granroth; Wenduo Zhou; Pravallika Devineni; Nouamane Laanait; Junqi Yin; Albina Y. Borisevich; Ketan Maheshwari; Melissa R. Allen-Dumas; Srinath Ravulaparthy; Kuldeep R. Kurte; et al. (SMC, 2020)

A Mixed-Method Design Approach for Empirically Based Selection of Unbiased Data Annotators. - Gautam S. Thakur; Janna Caspersen; Drahomira Herrmannova; Bryan Eaton; Jordan Burdette (ACL/IJCNLP (Findings), 2021)

Visual Understanding of COVID-19 Knowledge Graph for Predictive Analysis. - Seung-Hwan Lim; Junghoon Chae; Guojing Cong; Drahomira Herrmannova; Robert M. Patton; Ramakrishnan Kannan; Thomas E. Potok (IEEE BigData, 2021)

Weak Supervision for Scientific Document Relevance Tagging. - Drahomira Herrmannova; Chathika Gunaratne; Vickie Walker; Andrew A. Rooney; Robert M. Patton; Mary Wolfe; Charles Schmitt (JCDL, 2021)

Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing. - Pravallika Devineni; Panchapakesan Ganesh; Nikhil Sivadas; Abhijeet Dhakane; Ketan Maheshwari; Drahomira Herrmannova; Ramakrishnan Kannan; Seung-Hwan Lim; Thomas E. Potok; Jordan B. Chipka; Priyantha Mudalige; Mark Coletti; et al. (SMC, 2021)

A meta-analysis of semantic classification of citations. - Suchetha N. Kunnath; Drahomira Herrmannova; David Pride; Petr Knoth (Quant. Sci. Stud., 2021)

Overview of the Third Workshop on Scholarly Document Processing. - Arman Cohan; Guy Feigenblat; Dayne Freitag; Tirthankar Ghosal; Drahomira Herrmannova; Petr Knoth; Kyle Lo; Philipp Mayr 001; Michal Shmueli-Scheuer; Anita de Waard; Lucy Lu Wang (SDP@COLING, 2022)

Overview of the DAGPap22 Shared Task on Detecting Automatically Generated Scientific Papers. - Yury Kashnitsky; Drahomira Herrmannova; Anita de Waard; George Tsatsaronis 001; Catriona Fennell; Cyril Labbé (SDP@COLING, 2022)

Benchmark for Research Theme Classification of Scholarly Documents. - Óscar E. Mendoza; Wojciech Kusa; Alaa El-Ebshihy; Ronin Wu; David Pride; Petr Knoth; Drahomira Herrmannova; Florina Piroi; Gabriella Pasi; Allan Hanbury (SDP@COLING, 2022)

Elsevier Data Science Health Sciences at TREC 2022 Clinical Trials: Exploring Transformer Embeddings for Clinical Trial Retrieval. - Drahomira Herrmannova; Sharvari Jadhav; Harsh Sindhwa; Hina Nazir; Elia Lima-Walton (TREC, 2022)

Methodology to Compare Twitter Reaction Trends between Disinformation Communities, to COVID related Campaign Events at Different Geospatial Granularities. - Debraj De; Gautam S. Thakur; Drahomira Herrmannova; Carter Christopher (WWW (Companion Volume), 2022)

Attention Mechanisms in Clinical Text Classification: A Comparative Evaluation. - Christoph S. Metzner; Shang Gao 008; Drahomira Herrmannova; Elia Lima-Walton; Heidi A. Hanson (IEEE J. Biomed. Health Informatics, 2024)

Large language models versus static word embeddings to predict Acute Kidney Injury in the Intensive Care Unit: Does context matter? - Rick van Slobbe; Drahomira Herrmannova; Elia Lima-Walton; Ameen Abu-Hanna; Iacopo Vagliano (SLM4Health@AIME, 2025)

Multimodal convolutional neural networks for the prediction of acute kidney injury in the intensive care. - Rick van Slobbe; Drahomira Herrmannova; Dijs Johan Boeke; Elia Lima-Walton; Ameen Abu-Hanna; Iacopo Vagliano (Int. J. Medical Informatics, 2025)

Can human clinical rationales improve the performance and explainability of clinical text classification models? - Christoph Metzner; Shang Gao 008; Drahomira Herrmannova; Heidi A. Hanson (CoRR, 2025)