Nina C. Hubig - RankMe

35 papers A* 4A 2B 4Misc 2Journal 8Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Telehealth Consent Assistant: Prototype and UX Insights. CHI Extended Abstracts Nina C. Hubig
2026	A	`conf`	User Compliance and Awareness towards Persuasive XAI: Investigating the Rhetorical Layer of LLM-generated Explanations. IUI Dacia Braca, Ambika Shahu, Dinara Talypova, Philipp Wintersberger, Nina C. Hubig
2025	J	`jnl`	Advancing Anomaly Detection: Non-Semantic Financial Data Encoding With Large Language Models. IEEE Access Alexander Bakumenko, Katerina Hlavácková-Schindler, Claudia Plant, Nina C. Hubig
2025	J	`jnl`	Explainable AI Systems Must Be Contestable: Here's How to Make It Happen. CoRR Catarina Moreira, Anna Palatkina, Dacia Braca, Dylan M. Walsh, Peter J. Leihn, Fang Chen, Nina C. Hubig
2025	—	`conf`	New Frontiers of Human-centered Explainable AI (HCXAI): Participatory Civic AI, Benchmarking LLMs, XAI Hallucinations, and Responsible AI Audits. CHI Extended Abstracts Upol Ehsan, Elizabeth Anne Watkins, Philipp Wintersberger, Carina Manger, Nina C. Hubig, Saiph Savage, Justin D. Weisz, Andreas Riener
2025	J	`jnl`	The emergence of large language models as tools in literature reviews: a large language model-assisted systematic review. J. Am. Medical Informatics Assoc. Dmitry Scherbakov, Nina C. Hubig, Vinita Jansari, Alexander Bakumenko, Leslie A. Lenert
2024	—	`conf`	Active Learning Pipeline to Identify Candidate Terms for a CDSS Ontology. MIE 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 D. Law, Lior Rennert, Ronald W. Gimbel
2024	J	`jnl`	Advancing Anomaly Detection: Non-Semantic Financial Data Encoding with LLMs. CoRR Alexander Bakumenko, Katerina Hlavácková-Schindler, Claudia Plant, Nina C. Hubig
2024	—	`conf`	Low Resource ICD Coding of Hospital Discharge Summaries. BioNLP@ACL Ashton Williamson, David de Hilster, Amnon Meyers, Nina C. Hubig, Amy Apon
2024	J	`jnl`	The emergence of Large Language Models (LLM) as a tool in literature reviews: an LLM automated systematic review. CoRR Dmitry Scherbakov, Nina C. Hubig, Vinita Jansari, Alexander Bakumenko, Leslie A. Lenert
2023	—	`conf`	A GPT-based Practical Architecture for Conversational Human Digital Twins. AiOfAi@IJCAI Shahan Mehtab Iqbal, Matias Volonte, Bart P. Knijnenburg, Nina C. Hubig
2023	J	`jnl`	DX-FloodLine: End-To-End Deep Explainable Pipeline for Real Time Flood Scene Object Detection From Multimedia Images. IEEE Access Nushrat Humaira, Vidya S. Samadi, Nina C. Hubig
2023	J	`jnl`	FlowDyn: A daily streamflow prediction pipeline for dynamical deep neural network applications. Environ. Model. Softw. Sadegh Sadeghi Tabas, Nushrat Humaira, S. Samadi, Nina C. Hubig
2023	—	`conf`	Literature Analysis on Ontologies Applied in Clinical Decision Support Systems. MedInfo 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
2022	J	`jnl`	Interpretable machine learning predicts cardiac resynchronization therapy responses from personalized biochemical and biomechanical features. BMC Medical Informatics Decis. Mak. Anamul Haque, Doug Stubbs, Nina C. Hubig, Francis G. Spinale, William J. Richardson
2022	Misc	`conf`	Keyphrase Identification with a Limited Labeled Dataset Using Deep Active Learning and Domain Adaptation. AMIA 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, Lior Rennert, Xia Jing
2022	—	`conf`	Potentialfinder - Fostering Network Innovation by Connecting Data Owners Using Scaled Business-Relevant Pattern Recognition and Clustering. HICSS Mathias Riechert, Roshan Bhandari, Abhijeet Amle, Abhimanyu Abhinav, Nina C. Hubig
2022	A*	`conf`	Visualization in Data Science VDS @ KDD 2022. KDD Claudia Plant, Nina C. Hubig, Junming Shao, Alvitta Ottley, Liang Gou, Torsten Möller, Adam Perer, Alexander Lex, Anamaria Crisan
2021	Misc	`conf`	A clinical decision support system (CDSS) ontology to facilitate portable vaccination CDSS rules: preliminary results. AMIA 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, Nina C. Hubig, Ronald W. Gimbel, Lior Rennert
2021	—	`conf`	FlowDyn: A Dynamic Web-based Streamflow Prediction Pipeline. IEEE BigData Nushrat Humaira, Saber Sadeghi Tabas, S. Samadi, Nina C. Hubig
2020	B	`conf`	Human-Centric Preference Modeling for Virtual Agents. IVA Bart P. Knijnenburg, Nina C. Hubig
2017	—	`—`	Analyzing and Predicting Large Vector-, Graph- and Spatio-Temporal Data. Nina C. Hubig
2017	B	`conf`	Detection and Prediction of Natural Hazards Using Large-Scale Environmental Data. SSTD Nina C. Hubig, Philip Fengler, Andreas Züfle, Ruixin Yang, Stephan Günnemann
2017	A	`conf`	HyPerInsight: Data Exploration Deep Inside HyPer. CIKM Nina C. Hubig, Linnea Passing, Maximilian E. Schüle, Dimitri Vorona, Alfons Kemper, Thomas Neumann
2017	—	`conf`	Information-Theoretic Non-redundant Subspace Clustering. PAKDD (1) Nina C. Hubig, Claudia Plant
2017	B	`conf`	SQL- and Operator-centric Data Analytics in Relational Main-Memory Databases. EDBT Linnea Passing, Manuel Then, Nina C. Hubig, Harald Lang, Michael Schreier, Stephan Günnemann, Alfons Kemper, Thomas Neumann
2016	A*	`conf`	Generalized Independent Subspace Clustering. ICDM Wei Ye, Samuel Maurus, Nina C. Hubig, Claudia Plant
2015	—	`conf`	Development and evaluation of a facebook-based product advisor for online dating sites. BTW Workshops Martin Winter, Sebastian Goebl, Nina C. Hubig, Christopher Pleines, Christian Böhm
2015	—	`conf`	Effiziente Integration von Data- und Graph-Mining-Algorithmen in relationale Datenbanksysteme. LWA Manuel Then, Linnea Passing, Nina C. Hubig, Stephan Günnemann, Alfons Kemper, Thomas Neumann
2015	—	`conf`	Musical similarity analysis based on chroma features and text retrieval methods. BTW Workshops David Englmeier, Nina C. Hubig, Sebastian Goebl, Christian Böhm
2014	—	`conf`	Centroid Clustering of Cellular Lineage Trees. ITBAM Valeriy Khakhutskyy, Michael Schwarzfischer, Nina C. Hubig, Claudia Plant, Carsten Marr, Michael A. Rieger, Timm Schroeder, Fabian J. Theis
2014	—	`conf`	Monitoring Probabilistic Threshold SUM Query Processing in Uncertain Streams. DASFAA (1) Nina C. Hubig, Andreas Züfle, Tobias Emrich, Matthias Renz, Mario A. Nascimento, Hans-Peter Kriegel
2013	A*	`conf`	Active Density-Based Clustering. ICDM Son T. Mai, Xiao He, Nina C. Hubig, Claudia Plant, Christian Böhm
2013	A*	`conf`	Compression-Based Graph Mining Exploiting Structure Primitives. ICDM Jing Feng, Xiao He, Nina C. Hubig, Christian Böhm, Claudia Plant
2012	B	`conf`	Continuous Probabilistic Sum Queries in Wireless Sensor Networks with Ranges. SSDBM Nina C. Hubig, Andreas Züfle, Tobias Emrich, Mario A. Nascimento, Matthias Renz, Hans-Peter Kriegel