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ORCIDNina C. Hubig
Person information
- affiliation: Clemson University, USA
- affiliation (former): Ludwig Maximilian University of Munich, Germany
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Books and Theses
- 2017
[b1]Nina C. Hubig:
Analyzing and Predicting Large Vector-, Graph- and Spatio-Temporal Data. Technical University Munich, Germany, 2017
Journal Articles
- 2025
- [j5]Alexander Bakumenko
, Katerina Hlavácková-Schindler, Claudia Plant, Nina C. Hubig:
Advancing Anomaly Detection: Non-Semantic Financial Data Encoding With Large Language Models. IEEE Access 13: 146757-146771 (2025) - [j4]Dmitry Scherbakov, Nina C. Hubig, Vinita Jansari, Alexander Bakumenko, Leslie A. Lenert:
The emergence of large language models as tools in literature reviews: a large language model-assisted systematic review. J. Am. Medical Informatics Assoc. 32(6): 1071-1086 (2025) - 2023
- [j3]Nushrat Humaira, Vidya S. Samadi, Nina C. Hubig:
DX-FloodLine: End-To-End Deep Explainable Pipeline for Real Time Flood Scene Object Detection From Multimedia Images. IEEE Access 11: 110644-110655 (2023) - [j2]Sadegh Sadeghi Tabas, Nushrat Humaira, S. Samadi, Nina C. Hubig:
FlowDyn: A daily streamflow prediction pipeline for dynamical deep neural network applications. Environ. Model. Softw. 170: 105854 (2023) - 2022
- [j1]Anamul Haque, Doug Stubbs, Nina C. Hubig, Francis G. Spinale, William J. Richardson:
Interpretable machine learning predicts cardiac resynchronization therapy responses from personalized biochemical and biomechanical features. BMC Medical Informatics Decis. Mak. 22(1): 282 (2022)
Conference and Workshop Papers
- 2026
- [c27]Nina C. Hubig:
Telehealth Consent Assistant: Prototype and UX Insights. CHI Extended Abstracts 2026: 643:1-643:5 - [c26]Dacia Braca, Ambika Shahu, Dinara Talypova, Philipp Wintersberger, Nina C. Hubig:
User Compliance and Awareness towards Persuasive XAI: Investigating the Rhetorical Layer of LLM-generated Explanations. IUI 2026: 1938-1950 - 2025
- [c25]Upol Ehsan, Elizabeth Anne Watkins, Philipp Wintersberger, Carina Manger, Nina C. Hubig, Saiph Savage, Justin D. Weisz, Andreas Riener:
New Frontiers of Human-centered Explainable AI (HCXAI): Participatory Civic AI, Benchmarking LLMs, XAI Hallucinations, and Responsible AI Audits. CHI Extended Abstracts 2025: 793:1-793:6 - [c24]Debanjana Kar, Leopold Böss, Dacia Braca, Sebastian Maximilian Dennerlein, Nina Christine Hubig, Philipp Wintersberger, Yufang Hou:
MathBuddy: A Multimodal System for Affective Math Tutoring. EMNLP (System Demonstrations) 2025: 821-838 - 2024
- [c23]Ashton Williamson, David de Hilster, Amnon Meyers, Nina C. Hubig, Amy Apon:
Low Resource ICD Coding of Hospital Discharge Summaries. BioNLP@ACL 2024: 548-558 - [c22]Xia Jing, Rohan Goli, Keerthana Komatineni, Shailesh Alluri, Nina C. Hubig, Hua Min, Yang Gong, Dean F. Sittig, Paul G. Biondich, David Robinson, Christian Nøhr, Arild Faxvaag, Adam Wright, Timothy Law, Lior Rennert, Ronald W. Gimbel:
Active Learning Pipeline to Identify Candidate Terms for a CDSS Ontology. MIE 2024: 1338-1342 - 2023
- [c21]Shahan Mehtab Iqbal, Matias Volonte, Bart P. Knijnenburg, Nina C. Hubig:
A GPT-based Practical Architecture for Conversational Human Digital Twins. AiOfAi@IJCAI 2023: 33-35 - [c20]Xia Jing, Hua Min, Yang Gong, Paul G. Biondich, David Robinson, Timothy D. Law, Christian G. Nøhr, Arild Faxvaag, Lior Rennert, Nina C. Hubig, Ronald W. Gimbel:
Literature Analysis on Ontologies Applied in Clinical Decision Support Systems. MedInfo 2023: 1347-1348 - 2022
- [c19]Rohan Goli, Nina C. Hubig, Hua Min, Yang Gong, Dean F. Sittig, David Robinson, Paul G. Biondich, Adam Wright, Christian Nøhr, Timothy Law, Arild Faxvaag, Ronald W. Gimbel, Lior Rennert, Xia Jing:
Keyphrase Identification with a Limited Labeled Dataset Using Deep Active Learning and Domain Adaptation. AMIA 2022 - [c18]Mathias Riechert, Roshan Bhandari, Abhijeet Amle, Abhimanyu Abhinav, Nina C. Hubig:
Potentialfinder - Fostering Network Innovation by Connecting Data Owners Using Scaled Business-Relevant Pattern Recognition and Clustering. HICSS 2022: 1-10 - [c17]Claudia Plant, Nina C. Hubig, Junming Shao, Alvitta Ottley, Liang Gou, Torsten Möller, Adam Perer, Alexander Lex, Anamaria Crisan:
Visualization in Data Science VDS @ KDD 2022. KDD 2022: 4894-4895 - 2021
- [c16]Xia Jing, Hua Min, Yang Gong, James J. Cimino, David Robinson, Dean F. Sittig, Paul G. Biondich, Adam Wright, Christian Nøhr, Timothy Law, Arild Faxvaag, Akash Indani, Nina C. Hubig, Ronald W. Gimbel, Lior Rennert:
A clinical decision support system (CDSS) ontology to facilitate portable vaccination CDSS rules: preliminary results. AMIA 2021 - [c15]Nushrat Humaira, Saber Sadeghi Tabas, S. Samadi, Nina C. Hubig:
FlowDyn: A Dynamic Web-based Streamflow Prediction Pipeline. IEEE BigData 2021: 757-767 - 2020
- [c14]Bart P. Knijnenburg, Nina C. Hubig:
Human-Centric Preference Modeling for Virtual Agents. IVA 2020: 33:1-33:3 - 2017
- [c13]Nina C. Hubig, Linnea Passing, Maximilian E. Schüle, Dimitri Vorona, Alfons Kemper, Thomas Neumann:
HyPerInsight: Data Exploration Deep Inside HyPer. CIKM 2017: 2467-2470 - [c12]Linnea Passing, Manuel Then, Nina C. Hubig, Harald Lang, Michael Schreier, Stephan Günnemann, Alfons Kemper, Thomas Neumann:
SQL- and Operator-centric Data Analytics in Relational Main-Memory Databases. EDBT 2017: 84-95 - [c11]Nina C. Hubig, Claudia Plant:
Information-Theoretic Non-redundant Subspace Clustering. PAKDD (1) 2017: 198-209 - [c10]Nina C. Hubig, Philip Fengler, Andreas Züfle, Ruixin Yang, Stephan Günnemann:
Detection and Prediction of Natural Hazards Using Large-Scale Environmental Data. SSTD 2017: 300-316 - 2016
- [c9]Wei Ye, Samuel Maurus, Nina C. Hubig, Claudia Plant:
Generalized Independent Subspace Clustering. ICDM 2016: 569-578 - 2015
- [c8]David Englmeier, Nina C. Hubig, Sebastian Goebl, Christian Böhm:
Musical similarity analysis based on chroma features and text retrieval methods. BTW Workshops 2015: 183-192 - [c7]Martin Winter, Sebastian Goebl, Nina C. Hubig, Christopher Pleines, Christian Böhm:
Development and evaluation of a facebook-based product advisor for online dating sites. BTW Workshops 2015: 213-222 - [c6]Manuel Then, Linnea Passing, Nina C. Hubig, Stephan Günnemann, Alfons Kemper, Thomas Neumann:
Effiziente Integration von Data- und Graph-Mining-Algorithmen in relationale Datenbanksysteme. LWA 2015: 45-49 - 2014
- [c5]Nina C. Hubig, Andreas Züfle, Tobias Emrich, Matthias Renz, Mario A. Nascimento, Hans-Peter Kriegel:
Monitoring Probabilistic Threshold SUM Query Processing in Uncertain Streams. DASFAA (1) 2014: 420-435 - [c4]Valeriy Khakhutskyy, Michael Schwarzfischer, Nina C. Hubig, Claudia Plant, Carsten Marr, Michael A. Rieger, Timm Schroeder, Fabian J. Theis:
Centroid Clustering of Cellular Lineage Trees. ITBAM 2014: 15-29 - 2013
- [c3]Jing Feng, Xiao He, Nina C. Hubig, Christian Böhm, Claudia Plant:
Compression-Based Graph Mining Exploiting Structure Primitives. ICDM 2013: 181-190 - [c2]Son T. Mai, Xiao He, Nina C. Hubig, Claudia Plant, Christian Böhm:
Active Density-Based Clustering. ICDM 2013: 508-517 - 2012
- [c1]Nina C. Hubig, Andreas Züfle, Tobias Emrich, Mario A. Nascimento, Matthias Renz, Hans-Peter Kriegel:
Continuous Probabilistic Sum Queries in Wireless Sensor Networks with Ranges. SSDBM 2012: 96-105
Informal and Other Publications
- 2025
- [i5]Catarina Moreira, Anna Palatkina, Dacia Braca, Dylan M. Walsh, Peter J. Leihn, Fang Chen, Nina C. Hubig:
Explainable AI Systems Must Be Contestable: Here's How to Make It Happen. CoRR abs/2506.01662 (2025) - [i4]Debanjana Kar, Leopold Böss, Dacia Braca, Sebastian Maximilian Dennerlein, Nina Christine Hubig, Philipp Wintersberger, Yufang Hou:
MathBuddy: A Multimodal System for Affective Math Tutoring. CoRR abs/2508.19993 (2025) - 2024
- [i3]Alexander Bakumenko, Katerina Hlavácková-Schindler, Claudia Plant, Nina C. Hubig:
Advancing Anomaly Detection: Non-Semantic Financial Data Encoding with LLMs. CoRR abs/2406.03614 (2024) - [i2]Dmitry Scherbakov, Nina C. Hubig, Vinita Jansari, Alexander Bakumenko, Leslie A. Lenert:
The emergence of Large Language Models (LLM) as a tool in literature reviews: an LLM automated systematic review. CoRR abs/2409.04600 (2024) - [i1]Chunheng Zhao, Pierluigi Pisu, Gurcan Comert, Negash Begashaw, Varghese Mathew Vaidyan, Nina Christine Hubig:
A Robust Adversarial Ensemble with Causal (Feature Interaction) Interpretations for Image Classification. CoRR abs/2412.20025 (2024)
Coauthor Index
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