Continuous Probabilistic Sum Queries in Wireless Sensor Networks with Ranges. - Nina C. Hubig; Andreas Züfle; Tobias Emrich; Mario A. Nascimento; Matthias Renz; Hans-Peter Kriegel (SSDBM, 2012)

Compression-Based Graph Mining Exploiting Structure Primitives. - Jing Feng 003; Xiao He 002; Nina C. Hubig; Christian Böhm 001; Claudia Plant (ICDM, 2013)

Active Density-Based Clustering. - Son T. Mai; Xiao He 002; Nina C. Hubig; Claudia Plant; Christian Böhm 001 (ICDM, 2013)

Monitoring Probabilistic Threshold SUM Query Processing in Uncertain Streams. - Nina C. Hubig; Andreas Züfle; Tobias Emrich; Matthias Renz; Mario A. Nascimento; Hans-Peter Kriegel (DASFAA (1), 2014)

Centroid Clustering of Cellular Lineage Trees. - Valeriy Khakhutskyy; Michael Schwarzfischer; Nina C. Hubig; Claudia Plant; Carsten Marr; Michael A. Rieger; Timm Schroeder; Fabian J. Theis (ITBAM, 2014)

Musical similarity analysis based on chroma features and text retrieval methods. - David Englmeier; Nina C. Hubig; Sebastian Goebl; Christian Böhm 001 (BTW Workshops, 2015)

Development and evaluation of a facebook-based product advisor for online dating sites. - Martin Winter; Sebastian Goebl; Nina C. Hubig; Christopher Pleines; Christian Böhm 001 (BTW Workshops, 2015)

Effiziente Integration von Data- und Graph-Mining-Algorithmen in relationale Datenbanksysteme. - Manuel Then; Linnea Passing; Nina C. Hubig; Stephan Günnemann; Alfons Kemper; Thomas Neumann 001 (LWA, 2015)

Generalized Independent Subspace Clustering. - Wei Ye 001; Samuel Maurus; Nina C. Hubig; Claudia Plant (ICDM, 2016)

HyPerInsight: Data Exploration Deep Inside HyPer. - Nina C. Hubig; Linnea Passing; Maximilian E. Schüle; Dimitri Vorona; Alfons Kemper; Thomas Neumann 001 (CIKM, 2017)

SQL- and Operator-centric Data Analytics in Relational Main-Memory Databases. - Linnea Passing; Manuel Then; Nina C. Hubig; Harald Lang; Michael Schreier; Stephan Günnemann; Alfons Kemper; Thomas Neumann 001 (EDBT, 2017)

Information-Theoretic Non-redundant Subspace Clustering. - Nina C. Hubig; Claudia Plant (PAKDD (1), 2017)

Detection and Prediction of Natural Hazards Using Large-Scale Environmental Data. - Nina C. Hubig; Philip Fengler; Andreas Züfle; Ruixin Yang; Stephan Günnemann (SSTD, 2017)

Analyzing and Predicting Large Vector-, Graph- and Spatio-Temporal Data. - Nina C. Hubig (2017)

Human-Centric Preference Modeling for Virtual Agents. - Bart P. Knijnenburg; Nina C. Hubig (IVA, 2020)

A clinical decision support system (CDSS) ontology to facilitate portable vaccination CDSS rules: preliminary results. - Xia Jing; Hua Min; Yang Gong; James J. Cimino; David Robinson; Dean F. Sittig; Paul G. Biondich; Adam Wright; Christian Nøhr; Tim Law; Arild Faxvaag; Akash Indani; et al. (AMIA, 2021)

FlowDyn: A Dynamic Web-based Streamflow Prediction Pipeline. - Nushrat Humaira; Saber Sadeghi Tabas; S. Samadi; Nina C. Hubig (IEEE BigData, 2021)

Keyphrase Identification with a Limited Labeled Dataset Using Deep Active Learning and Domain Adaptation. - Rohan Goli; Nina C. Hubig; Hua Min; Yang Gong; Dean F. Sittig; David Robinson; Paul G. Biondich; Adam Wright; Christian Nøhr; Tim Law; Arild Faxvaag; Ronald W. Gimbel; et al. (AMIA, 2022)

Potentialfinder - Fostering Network Innovation by Connecting Data Owners Using Scaled Business-Relevant Pattern Recognition and Clustering. - Mathias Riechert; Roshan Bhandari; Abhijeet Amle; Abhimanyu Abhinav; Nina C. Hubig (HICSS, 2022)

Visualization in Data Science VDS @ KDD 2022. - Claudia Plant; Nina C. Hubig; Junming Shao; Alvitta Ottley; Liang Gou; Torsten Möller; Adam Perer; Alexander Lex; Anamaria Crisan (KDD, 2022)

Interpretable machine learning predicts cardiac resynchronization therapy responses from personalized biochemical and biomechanical features. - Anamul Haque; Doug Stubbs; Nina C. Hubig; Francis G. Spinale; William J. Richardson (BMC Medical Informatics Decis. Mak., 2022)

A GPT-based Practical Architecture for Conversational Human Digital Twins. - Shahan Mehtab Iqbal; Matias Volonte; Bart P. Knijnenburg; Nina C. Hubig (AiOfAi@IJCAI, 2023)

Literature Analysis on Ontologies Applied in Clinical Decision Support Systems. - 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 (MedInfo, 2023)

DX-FloodLine: End-To-End Deep Explainable Pipeline for Real Time Flood Scene Object Detection From Multimedia Images. - Nushrat Humaira; Vidya S. Samadi; Nina C. Hubig (IEEE Access, 2023)

FlowDyn: A daily streamflow prediction pipeline for dynamical deep neural network applications. - Sadegh Sadeghi Tabas; Nushrat Humaira; S. Samadi; Nina C. Hubig (Environ. Model. Softw., 2023)

Low Resource ICD Coding of Hospital Discharge Summaries. - Ashton Williamson; David de Hilster; Amnon Meyers; Nina C. Hubig; Amy Apon (BioNLP@ACL, 2024)

Active Learning Pipeline to Identify Candidate Terms for a CDSS Ontology. - 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; et al. (MIE, 2024)

Advancing Anomaly Detection: Non-Semantic Financial Data Encoding with LLMs. - Alexander Bakumenko; Katerina Hlavácková-Schindler; Claudia Plant; Nina C. Hubig (CoRR, 2024)

The emergence of Large Language Models (LLM) as a tool in literature reviews: an LLM automated systematic review. - Dmitry Scherbakov; Nina C. Hubig; Vinita Jansari; Alexander Bakumenko; Leslie A. Lenert (CoRR, 2024)

A Robust Adversarial Ensemble with Causal (Feature Interaction) Interpretations for Image Classification. - Chunheng Zhao; Pierluigi Pisu; Gurcan Comert; Negash Begashaw; Varghese Mathew Vaidyan; Nina Christine Hubig (CoRR, 2024)

Advancing Anomaly Detection: Non-Semantic Financial Data Encoding With Large Language Models. - Alexander Bakumenko; Katerina Hlavácková-Schindler; Claudia Plant; Nina C. Hubig (IEEE Access, 2025)

The emergence of large language models as tools in literature reviews: a large language model-assisted systematic review. - Dmitry Scherbakov; Nina C. Hubig; Vinita Jansari; Alexander Bakumenko; Leslie A. Lenert (J. Am. Medical Informatics Assoc., 2025)

Explainable AI Systems Must Be Contestable: Here's How to Make It Happen. - Catarina Moreira; Anna Palatkina; Dacia Braca; Dylan M. Walsh; Peter J. Leihn; Fang Chen; Nina C. Hubig (CoRR, 2025)