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Md Reshad Ul Hoque
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2020 – today
- 2023
- [c6]Xin Wei, Md Reshad Ul Hoque, Jian Wu, Jiang Li:
ClaimDistiller: Scientific Claim Extraction with Supervised Contrastive Learning. EEKE/AII@JCDL 2023: 65-77 - 2022
- [b1]Md Reshad Ul Hoque:
Applied Deep Learning: Case Studies in Computer Vision and Natural Language Processing. Old Dominion University, Norfolk, Virginia, USA, 2022 - [j2]Md Reshad Ul Hoque, Jian Wu, Chiman Kwan
, Krzysztof Koperski, Jiang Li
:
ArithFusion: An Arithmetic Deep Model for Temporal Remote Sensing Image Fusion. Remote. Sens. 14(23): 6160 (2022) - [c5]Md Reshad Ul Hoque, Xin Wei, Muntabir Hasan Choudhury, Kehinde Ajayi, Martin Gryder, Jian Wu, Diane Oyen:
Segmenting Technical Drawing Figures in US Patents. SDU@AAAI 2022 - [i1]Md Reshad Ul Hoque, Jiang Li, Jian Wu:
SciEv: Finding Scientific Evidence Papers for Scientific News. CoRR abs/2205.00126 (2022) - 2021
- [j1]Mohammad Shahabuddin
, Md Reshad Ul Hoque, Kazi Aminul Islam
, Chiman Kwan
, David Gribben, Jiang Li
:
Converting Optical Videos to Infrared Videos Using Attention GAN and Its Impact on Target Detection and Classification Performance. Remote. Sens. 13(16): 3257 (2021) - 2020
- [c4]Jian Wu, Md Reshad Ul Hoque, Gunnar W. Reiske, Michele C. Weigle, Brenda T. Bradshaw, Holly D. Gaff, Jiang Li, Chiman Kwan
:
A Comparative Study of Sequence Tagging Methods for Domain Knowledge Entity Recognition in Biomedical Papers. JCDL 2020: 397-400
2010 – 2019
- 2019
- [c3]Md Reshad Ul Hoque, Dash Bradley, Chiman Kwan
, Agnese Chiatti, Jiang Li, Jian Wu:
Searching for Evidence of Scientific News in Scholarly Big Data. K-CAP 2019: 251-254 - [c2]Md Reshad Ul Hoque, Roland Burks, Chiman Kwan
, Jiang Li:
Deep Learning for Remote Sensing Image Super-Resolution. UEMCON 2019: 286-292 - 2018
- [c1]Md Reshad Ul Hoque, Kazi Aminul Islam
, Daniel Pérez, Victoria Hill, Blake Schaeffer
, Richard Zimmerman, Jiang Li:
Seagrass Propeller Scar Detection using Deep Convolutional Neural Network. UEMCON 2018: 659-665
Coauthor Index
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last updated on 2024-08-05 21:20 CEST by the dblp team
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