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Nina C. Hubig
Person information
- affiliation: Clemson University, USA
- affiliation (former): Ludwig Maximilian University of Munich, Germany
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2020 – today
- 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
Active Learning Pipeline to Identify Candidate Terms for a CDSS Ontology. MIE 2024: 1338-1342 - [i2]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) - [i1]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) - 2023
- [j3]Nushrat Humaira
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
FlowDyn: A daily streamflow prediction pipeline for dynamical deep neural network applications. Environ. Model. Softw. 170: 105854 (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
Literature Analysis on Ontologies Applied in Clinical Decision Support Systems. MedInfo 2023: 1347-1348 - 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) - [c19]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:
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, Tim 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
2010 – 2019
- 2017
- [b1]Nina C. Hubig:
Analyzing and Predicting Large Vector-, Graph- and Spatio-Temporal Data. Technical University Munich, Germany, 2017 - [c13]Nina C. Hubig, Linnea Passing, Maximilian E. Schüle
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
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
Coauthor Index
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last updated on 2024-10-23 20:27 CEST by the dblp team
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