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ORCIDBinh Vu
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2020 – today
- 2024
[c19]Basel Shbita, Namrata Sharma, Binh Vu, Fandel Lin, Craig A. Knoblock:
Constructing a Knowledge Graph of Historical Mining Data. GeoLD@ESWC 2024: 1-14- 2023
- [j6]Sasha Behrouzi
, Marcel Dix, Fatemeh Karampanah, Omer Ates, Nissy Sasidharan, Swati Chandna, Binh Vu:
Improving Visual Defect Detection and Localization in Industrial Thermal Images Using Autoencoders. J. Imaging 9(7): 137 (2023) - [c18]Fandel Lin, Craig A. Knoblock, Basel Shbita, Binh Vu, Zekun Li, Yao-Yi Chiang:
Exploiting Polygon Metadata to Understand Raster Maps - Accurate Polygonal Feature Extraction. SIGSPATIAL/GIS 2023: 109:1-109:12 - 2022
- [j5]Tusher Chakraborty, Heping Shi, Zerina Kapetanovic, Bodhi Priyantha, Deepak Vasisht, Binh Vu, Parag Pandit, Prasad Pillai, Yaswant Chabria, Andrew Nelson, Michael Daum, Ranveer Chandra:
Whisper: IoT in the TV White Space Spectrum. GetMobile Mob. Comput. Commun. 26(4): 32-35 (2022) - [c17]Ramona Srbecky, Michael Winterhagen, Benjamin Wallenborn, Matthias Then, Binh Vu, Wieland Fraas, Jan Dettmers, Matthias L. Hemmje:
Towards a Work Task Simulation Supporting Training of Work Design Skills during Qualification-based Learning. CSEDU (2) 2022: 534-542 - [c16]Binh Vu, Craig A. Knoblock:
SAND : A Tool for Creating Semantic Descriptions of Tabular Sources. ESWC (Satellite Events) 2022: 63-67 - [c15]Tusher Chakraborty, Heping Shi, Zerina Kapetanovic, Bodhi Priyantha, Deepak Vasisht, Binh Vu, Parag Pandit, Prasad Pillai, Yaswant Chabria, Andrew Nelson, Michael Daum, Ranveer Chandra:
Whisper: IoT in the TV White Space Spectrum. NSDI 2022: 401-418 - [c14]Michael Winterhagen, Ramona Srbecky, Simon Wetzel, Benjamin Wallenborn, Matthias Then, Binh Vu, Wieland Fraas, Jan Dettmers, Matthias L. Hemmje:
Towards the Usage of Learning Assessment Goals in Consideration of Qualifications-Based Learning Using Didactical Structural Templates. teleXbe 2022 - 2021
- [j4]Stefan Wagenpfeil, Binh Vu, Paul Mc Kevitt, Matthias L. Hemmje:
Fast and Effective Retrieval for Large Multimedia Collections. Big Data Cogn. Comput. 5(3): 33 (2021) - [j3]Yolanda Gil, Daniel Garijo, Deborah Khider, Craig A. Knoblock, Varun Ratnakar, Maximiliano Osorio, Hernán Vargas, Minh Pham, Jay Pujara, Basel Shbita, Binh Vu, Yao-Yi Chiang, Dan Feldman, Yijun Lin, Hayley Song, Vipin Kumar, Ankush Khandelwal, Michael S. Steinbach, Kshitij Tayal, Shaoming Xu, Suzanne A. Pierce, Lissa Pearson, Daniel Hardesty-Lewis, Ewa Deelman, Rafael Ferreira da Silva, Rajiv Mayani, Armen R. Kemanian, Yuning Shi, Lorne Leonard, Scott D. Peckham, Maria Stoica, Kelly M. Cobourn, Zeya Zhang, Christopher J. Duffy, Lele Shu:
Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making. ACM Trans. Interact. Intell. Syst. 11(2): 11:1-11:49 (2021) - [c13]Thoralf Reis, Sebastian Bruchhaus, Binh Vu, Marco X. Bornschlegl, Matthias L. Hemmje:
Towards Modeling AI-based User Empowerment for Visual Big Data Analysis. BIRDS+WEPIR@CHIIR 2021: 67-75 - [c12]Minh Pham, Craig A. Knoblock, Muhao Chen, Binh Vu, Jay Pujara:
SPADE: A Semi-supervised Probabilistic Approach for Detecting Errors in Tables. IJCAI 2021: 3543-3551 - [c11]Binh Vu, Craig A. Knoblock, Pedro A. Szekely, Minh Pham, Jay Pujara:
A Graph-Based Approach for Inferring Semantic Descriptions of Wikipedia Tables. ISWC 2021: 304-320 - [i1]Binh Vu, Igor L. Markov:
Picasso: Model-free Feature Visualization. CoRR abs/2111.12795 (2021) - 2020
- [b1]Binh Vu:
A Taxonomy Management System Supporting Crowd-based Taxonomy Generation, Evolution, and Management. University of Hagen, Germany, 2020 - [c10]Yanxin Wu, Ryan Donovan, Binh Vu, Felix Engel, Matthias L. Hemmje, Haithem Afli:
Chatbot Based Behaviour Analysis for Obesity Support Platform. CERC 2020: 112-124 - [c9]Binh Vu, Mikel de Velasco, Paul Mc Kevitt, Raymond R. Bond, Robin Turkington, Frederick G. Booth, Maurice D. Mulvenna, Michael Fuchs, Matthias L. Hemmje:
A Content and Knowledge Management System Supporting Emotion Detection from Speech. IWSDS 2020: 369-378 - [c8]Hayette Hadjar, Julian Lange, Binh Vu, Felix Engel, Gwendolyn Mayer, Paul Mc Kevitt, Matthias L. Hemmje:
Video-based automated emotional monitoring in mental health care supported by a generic patient data management system. PSYCHOBIT 2020
2010 – 2019
- 2019
- [j2]Mohammad Khodadadi, Long Chang, João R. C. Trabuco, Binh Vu, Katerina Kourentzi, Richard C. Willson, Dmitri Litvinov:
PCB-Based Magnetometer as a Platform for Quantification of Lateral-Flow Assays. Sensors 19(24): 5433 (2019) - [c7]Binh Vu, Yanxin Wu, Haithem Afli, Paul Mc Kevitt, Paul Walsh, Felix Engel, Michael Fuchs, Matthias L. Hemmje:
A metagenomic content and knowledge management ecosystem platform. BIBM 2019: 1-8 - [c6]Binh Vu, Ryan Donovan, Michael Healy, Paul Mc Kevitt, Paul Walsh, Felix Engel, Michael Fuchs, Matthias L. Hemmje:
Using an Affective Computing Taxonomy Management System to Support Data Management in Personality Traits. BIBM 2019: 2875-2882 - [c5]Binh Vu, Matthias L. Hemmje:
Supporting Taxonomy Development and Evolution by Means of Crowdsourcing. KEOD 2019: 351-358 - [c4]Daniel Garijo, Deborah Khider, Varun Ratnakar, Yolanda Gil, Ewa Deelman, Rafael Ferreira da Silva, Craig A. Knoblock, Yao-Yi Chiang, Minh Pham, Jay Pujara, Binh Vu, Dan Feldman, Rajiv Mayani, Kelly M. Cobourn, Christopher J. Duffy, Armen R. Kemanian, Lele Shu, Vipin Kumar, Ankush Khandelwal, Kshitij Tayal, Scott D. Peckham, Maria Stoica, Anna Dabrowski, Daniel Hardesty-Lewis, Suzanne A. Pierce:
An intelligent interface for integrating climate, hydrology, agriculture, and socioeconomic models. IUI Companion 2019: 111-112 - [c3]Binh Vu, Jay Pujara, Craig A. Knoblock:
D-REPR: A Language for Describing and Mapping Diversely-Structured Data Sources to RDF. K-CAP 2019: 189-196 - [c2]Binh Vu, Craig A. Knoblock, Jay Pujara:
Learning Semantic Models of Data Sources Using Probabilistic Graphical Models. WWW 2019: 1944-1953 - 2018
- [c1]Ryan Donovan, Michael Healy, Huiru Zheng, Felix Engel, Binh Vu, Michael Fuchs, Paul Walsh, Matthias L. Hemmje, Paul Mc Kevitt:
SenseCare: Using Automatic Emotional Analysis to Provide Effective Tools for Supporting. BIBM 2018: 2682-2687 - 2017
- [j1]Yu-Chi Liang, Long Chang, Wenlan Qiu, Arati G. Kolhatkar, Binh Vu, Katerina Kourentzi, T. Randall Lee, Youli Zu, Richard C. Willson, Dmitri Litvinov:
Ultrasensitive Magnetic Nanoparticle Detector for Biosensor Applications. Sensors 17(6): 1296 (2017)
Coauthor Index
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last updated on 2024-10-21 21:29 CEST by the dblp team
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