ReTracker: Actively and automatically matching retraction metadata in zotero. - Yi-Yun Cheng; Nikolaus Nova Parulian; Tzu-Kun Hsiao; Ly Dinh; Maria Janina Sarol; Jodi Schneider (ASIST, 2019)

Systematic examination of pre- and post-retraction citations. - Ly Dinh; Maria Janina Sarol; Yi-Yun Cheng; Tzu-Kun Hsiao; Nikolaus Nova Parulian; Jodi Schneider (ASIST, 2019)

Adversarial perturbations to manipulate the perception of power and influence in networks. - Mihai Valentin Avram; Shubhanshu Mishra; Nikolaus Nova Parulian; Jana Diesner (ASONAM, 2019)

ReTracker: an Open-Source Plugin for Automated and Standardized Tracking of Retracted Scholarly Publications. - Ly Dinh; Yi-Yun Cheng; Nikolaus Nova Parulian (JCDL, 2019)

Modeling Provenance and Understanding Reproducibility for OpenRefine Data Cleaning Workflows. - Timothy M. McPhillips; Lan Li 002; Nikolaus Nova Parulian; Bertram Ludäscher (TaPP, 2019)

COVID -19 pandemic and information diffusion analysis on Twitter. - Ly Dinh; Nikolaus Nova Parulian (ASIST, 2020)

Evaluating a Machine Learning Approach to Identifying Expressive Content at Page Level in HathiTrust. - Nikolaus Nova Parulian; Kristina Hall; Ryan Dubnicek; Yuerong Hu; J. Stephen Downie (DH, 2020)

COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation. - Qingyun Wang 005; Manling Li; Xuan Wang 008; Nikolaus Nova Parulian; Guangxing Han; Jiawei Ma; Jingxuan Tu; Ying Lin; Haoran Zhang 004; Weili Liu; Aabhas Chauhan; Yingjun Guan; et al. (CoRR, 2020)

Effectiveness of the Execution and Prevention of Metric-Based Adversarial Attacks on Social Network Data †. - Nikolaus Nova Parulian; Tiffany Lu; Shubhanshu Mishra; Mihai Avram 001; Jana Diesner (Inf., 2020)

Fine-grained Information Extraction from Biomedical Literature based on Knowledge-enriched Abstract Meaning Representation. - Zixuan Zhang; Nikolaus Nova Parulian; Heng Ji 001; Ahmed Elsayed; Skatje Myers; Martha Palmer (ACL/IJCNLP (1), 2021)

Fine-Grained Chemical Entity Typing with Multimodal Knowledge Representation. - Chenkai Sun; Weijiang Li; Jinfeng Xiao; Nikolaus Nova Parulian; ChengXiang Zhai; Heng Ji 001 (BIBM, 2021)

Identifying Creative Content at the Page Level in the HathiTrust Digital Library Using Machine Learning Methods on Text and Image Features. - Nikolaus Nova Parulian; Glen Worthey (iConference (1), 2021)

A Model and System for Querying Provenance from Data Cleaning Workflows. - Nikolaus Nova Parulian; Timothy M. McPhillips; Bertram Ludäscher (IPAW, 2021)

Towards Transparent Data Cleaning: The Data Cleaning Model Explorer (DCM/X). - Nikolaus Nova Parulian; Bertram Ludäscher (JCDL, 2021)

Efficient Attentions for Long Document Summarization. - Luyang Huang; Shuyang Cao; Nikolaus Nova Parulian; Heng Ji 001; Lu Wang 008 (NAACL-HLT, 2021)

COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation. - Qingyun Wang 005; Manling Li; Xuan Wang 008; Nikolaus Nova Parulian; Guangxing Han; Jiawei Ma; Jingxuan Tu; Ying Lin; Haoran Zhang 004; Weili Liu; Aabhas Chauhan; Yingjun Guan; et al. (NAACL-HLT (Demonstrations), 2021)

or2yw: Modeling and Visualizing OpenRefineHistories as YesWorkflow Diagrams. - Nikolaus Nova Parulian; Lan Li 002; Bertram Ludäscher (CoRR, 2021)

Automatic Module Detection in Data Cleaning Workflows: Enabling Transparency and Recipe Reuse. - Lan Li 002; Nikolaus Nova Parulian; Bertram Ludäscher (Int. J. Digit. Curation, 2021)

An analysis of use and performance data aggregated from 35 institutional repositories. - Kenning Arlitsch; Jonathan Wheeler; Minh Thi Ngoc Pham 001; Nikolaus Nova Parulian (Online Inf. Rev., 2021)

Uncovering Black Fantastic: Piloting A Word Feature Analysis and Machine Learning Approach for Genre Classification. - Nikolaus Nova Parulian; Ryan Dubnicek; Glen Worthey; Daniel J. Evans; John A. Walsh; J. Stephen Downie (ASIST, 2022)

An Ensemble Framework for Dynamic Character Relationship Sentiment in Fiction. - Nikolaus Nova Parulian; Glen Worthey; J. Stephen Downie (iConference (1), 2022)

DCM explorer: a tool to support transparent data cleaning through provenance exploration. - Nikolaus Nova Parulian; Bertram Ludäscher (TaPP, 2022)

Trust the Process: Analyzing Prospective Provenance for Data Cleaning. - Nikolaus Nova Parulian; Bertram Ludäscher (WWW (Companion Volume), 2023)

Collaborative Data Cleaning Framework: a Pilot Case Study for Machine Learning Development. - Nikolaus Nova Parulian; Bertram Ludäscher (Int. J. Digit. Curation, 2024)

Making more sense with machines: artificial intelligence at the HathiTrust Research Center. - Glen Layne-Worthey; J. Stephen Downie; Janet Swatscheno; Nikolaus Nova Parulian; Jill P. Naiman; Benjamin M. Schmidt; Peter Organisciak; Ted Underwood; Ryan Dubnicek (Navigating Artificial Intelligence for Cultural Heritage Organisations, 2025)

TROV - A Model and Vocabulary for Describing Transparent Research Objects. - Meng Li 043; Timothy M. McPhillips; Craig Willis; Nikolaus Nova Parulian; Bertram Ludäscher; Kacper Kowalik; Lars Vilhuber; Thu-Mai Lewis; Mandy Gooch (Int. J. Digit. Curation, 2025)