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ORCIDFuad Rahman 0001
Ahmad Fuad Rezaur Rahman
Person information
- affiliation: Apurba Technologies Limited, Dhaka, Bangladesh
- affiliation: Univerity of Arizona, Department of Biomedical Engineering, Tucson, USA
Other persons with the same name
- Fuad Rahman 0002 — Slippery Rock University, Computer Science Department, PA, USA
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2020 – today
- 2024
[j15]Koushik Roy
, Md. Sazzad Hossain, Pritom Kumar Saha, Shadman Rohan, Imranul Ashrafi, Ifty Mohammad Rezwan, Fuad Rahman, B. M. Mainul Hossain, Ahmedul Kabir, Nabeel Mohammed:
A multifaceted evaluation of representation of graphemes for practically effective Bangla OCR. Int. J. Document Anal. Recognit. 27(1): 73-95 (2024)- [i7]A. K. M. Shahariar Azad Rabby, Hasmot Ali, Md. Majedul Islam, Sheikh Abujar, Fuad Rahman:
Enhancement of Bengali OCR by Specialized Models and Advanced Techniques for Diverse Document Types. CoRR abs/2402.05158 (2024) - 2023
- [c42]AKM Shahariar Azad Rabby, Hasmot Ali, Md. Majedul Islam, Fuad Rahman:
Versatile Bengali OCR: Document Analysis Technique for Varied Document Styles and Content. IEEE Big Data 2023: 1965-1969 - [c41]Hasmot Ali, AKM Shahariar Azad Rabby, Md. Majedul Islam, A. k. m Mahamud, Nazmul Hasan, Fuad Rahman:
Gold Standard Bangla OCR Dataset: An In-Depth Look at Data Preprocessing and Annotation Processes. EMNLP (Industry Track) 2023: 460-470 - [c40]Sabbir Mollah, Mohammed Rakib, Nabeel Mohammed, Mashrur Wasek, AKM Shahariar Azad Rabby, Fuad Rahman:
Automated Mapping of Healthcare Concepts to a Standardized Healthcare Taxonomy. Tiny Papers @ ICLR 2023 - [c39]Mohammed Rakib, Md. Ismail Hossain, Nabeel Mohammed, Fuad Rahman:
Bangla-Wave: Improving Bangla Automatic Speech Recognition Utilizing N-gram Language Models. ICSCA 2023: 297-301 - [i6]Md. Ismail Hossain, Mirza M. Lutfe Elahi, Sameera Ramasinghe, Ali Cheraghian, Fuad Rahman, Nabeel Mohammed, Shafin Rahman:
LumiNet: The Bright Side of Perceptual Knowledge Distillation. CoRR abs/2310.03669 (2023) - 2022
- [c38]Avishek Das, AKM Shahariar Azad Rabby, Ibna Kowsar, Fuad Rahman:
A Deep Learning-based Unified Solution for Character Recognition. ICPR 2022: 1671-1677 - [c37]Md. Ismail Hossain, Mohammed Rakib, Sabbir Mollah, Fuad Rahman, Nabeel Mohammed:
LILA-BOTI : Leveraging Isolated Letter Accumulations By Ordering Teacher Insights for Bangla Handwriting Recognition. ICPR 2022: 1770-1776 - [c36]Md. Sazzad Hossain, Pritom Kumar Saha, Townim Faisal Chowdhury, Shafin Rahman, Fuad Rahman, Nabeel Mohammed:
Rethinking Task-Incremental Learning Baselines. ICPR 2022: 2771-2777 - [i5]Md. Sazzad Hossain, Pritom Kumar Saha, Townim Faisal Chowdhury, Shafin Rahman, Fuad Rahman, Nabeel Mohammed:
Rethinking Task-Incremental Learning Baselines. CoRR abs/2205.11367 (2022) - [i4]Md. Ismail Hossain, Mohammed Rakib, Sabbir Mollah, Fuad Rahman, Nabeel Mohammed:
LILA-BOTI : Leveraging Isolated Letter Accumulations By Ordering Teacher Insights for Bangla Handwriting Recognition. CoRR abs/2205.11420 (2022) - [i3]Mohammed Rakib, Md. Ismail Hossain, Nabeel Mohammed, Fuad Rahman:
Bangla-Wave: Improving Bangla Automatic Speech Recognition Utilizing N-gram Language Models. CoRR abs/2209.12650 (2022) - 2021
- [c35]Md. Majedul Islam, Avishek Das, Ibna Kowsar, A. K. M. Shahariar Azad Rabby, Nazmul Hasan, Fuad Rahman:
Towards building a Bangla text recognition solution with a Multi-Headed CNN architecture. IEEE BigData 2021: 1061-1067 - [c34]Fuad Rahman, Abrar Rahman, A. K. M. Shahariar Azad Rabby, Md Jamiur Rahman Rifat, Mridul Banik, Md. Majedul Islam, Aminul Islam, Nor Azriah Aziz, Rick Meyer, John Kriak, Sidney Goldblatt:
Modeling Influenza with a Forest Deep Neural Network Utilizing a Virtualized Clinical Semantic Network. IEEE BigData 2021: 4753-4760 - [c33]Samiul Alam, Tahsin Reasat, Asif Shahriyar Sushmit, Sadi Mohammad Siddiquee, Fuad Rahman, Mahady Hasan, Ahmed Imtiaz Humayun:
A Large Multi-target Dataset of Common Bengali Handwritten Graphemes. ICDAR (4) 2021: 383-398 - [c32]A. K. M. Shahariar Azad Rabby, Md. Majedul Islam, Zahidul Islam, Nazmul Hasan, Fuad Rahman:
Towards Building A Robust Large-Scale Bangla Text Recognition Solution Using A Unique Multiple-Domain Character-Based Document Recognition Approach. ICMLA 2021: 1393-1399 - [c31]Fuad Rahman, Abrar Rahman, A. K. M. Shahariar Azad Rabby, Md Jamiur Rahman Rifat, Mridul Banik, Md. Majedul Islam, Aminul Islam, Nor Azriah Aziz, Rick Meyer, John Kriak, Sidney Goldblatt:
Disease Modeling with a Forest Deep Neural Network Utilizing NLP and a Virtualized Clinical Semantic Network. ICTAI 2021: 935-942 - 2020
- [c30]Abrar Rahman, John Kriak, Rick Meyer, Sidney Goldblatt, Fuad Rahman:
A Machine Learning Based Modeling of the Cytokine Storm as it Relates to COVID-19 Using a Virtual Clinical Semantic Network (vCSN). IEEE BigData 2020: 3803-3810 - [c29]A. K. M. Shahariar Azad Rabby, Md. Majedul Islam, Nazmul Hasan, Jebun Nahar, Fuad Rahman:
A Novel Deep Learning Character-Level Solution to Detect Language and Printing Style from a Bilingual Scanned Document. IEEE BigData 2020: 5218-5226 - [c28]Md Jamiur Rahman Rifat, Mridul Banik, Nazmul Hasan, Jebun Nahar, Fuad Rahman:
A Novel Machine Annotated Balanced Bangla OCR Corpus. CVIP (2) 2020: 149-160 - [c27]A. K. M. Shahariar Azad Rabby, Md. Majedul Islam, Nazmul Hasan, Jebun Nahar, Fuad Rahman:
Language Detection using Convolutional Neural Network. ICCCNT 2020: 1-5 - [i2]Samiul Alam, Tahsin Reasat, Asif Shahriyar Sushmit, Sadi Mohammad Siddiquee, Fuad Rahman, Mahady Hasan, Ahmed Imtiaz Humayun:
Multi-label Classification of Common Bengali Handwritten Graphemes: Dataset and Challenge. CoRR abs/2010.00170 (2020)
2010 – 2019
- 2019
- [c26]Aminul Islam, Fuad Rahman, AKM Shahariar Azad Rabby:
Sankhya: An Unbiased Benchmark for Bangla Handwritten Digits Recognition. IEEE BigData 2019: 4676-4683 - [c25]Abrar Rahman, Ari Mitra, Fuad Rahman, Marvin J. Slepian:
Smart EHR - A Big-Data Approach to Automated Collection and Processing of Multi-Modal Health Signals in a Doctor-patient Encounter. IEEE BigData 2019: 6198-6200 - 2018
- [i1]Sharif Amit Kamran, Ahmed Imtiaz Humayun, Samiul Alam, Rashed Mohammad Doha, Manash Kumar Mandal, Tahsin Reasat, Fuad Rahman:
AI Learns to Recognize Bengali Handwritten Digits: Bengali.AI Computer Vision Challenge 2018. CoRR abs/1810.04452 (2018) - 2016
- [c24]Fuad Rahman, Marvin J. Slepian:
Application of big-data in healthcare analytics - Prospects and challenges. BHI 2016: 13-16 - [c23]Fuad Rahman, Marvin J. Slepian, Ari Mitra:
A novel big-data processing framwork for healthcare applications: Big-data-healthcare-in-a-box. IEEE BigData 2016: 3548-3555
2000 – 2009
- 2006
- [j14]Fuad Rahman, Bertin Klein:
Special issue on detection and understanding of tables and forms for document processing applications. Int. J. Document Anal. Recognit. 8(2-3): 65 (2006) - [c22]Fuad Rahman, Aman Kumar, Yuliya Tarnikova, Hassan Alam:
Document clustering: applications in a collaborative digital library. DRR 2006: 60670K - [c21]Fuad Rahman, Yuliya Tarnikova, Rachmat Hartono, Hassan Alam:
An automatically updateable web publishing solution: taking document sharing and conversion to enterprise level. DRR 2006: 60670I - 2004
- [c20]Fuad Rahman, Hassan Alam:
A Commercial Web Based Digital Library for Sharing and Distributing Documents. DIAL 2004: 93-103 - [c19]Fuad Rahman, Yuliya Tarnikova, Aman Kumar, Hassan Alam:
Second Guessing a Commercial 'Black Box' Classifier by an 'In House' Classifier: Serial Classifier Combination in a Speech Recognition Application. Multiple Classifier Systems 2004: 374-383 - 2003
- [j13]Michael C. Fairhurst, Ahmad Fuad Rezaur Rahman:
Special issue on multiple classifiers for document analysis applications. Int. J. Document Anal. Recognit. 5(4): 165 (2003) - [j12]Ahmad Fuad Rezaur Rahman, Michael C. Fairhurst:
Multiple classifier decision combination strategies for character recognition: A review. Int. J. Document Anal. Recognit. 5(4): 166-194 (2003) - [c18]Ahmad Fuad Rezaur Rahman, Yuliya Tarnikova, Hassan Alam:
Exploring a hybrid of support vector machines (SVMs) and a heuristic-based system in classifying web pages. DRR 2003: 120-127 - [c17]Hassan Alam, Aman Kumar, Mikako Nakamura, Ahmad Fuad Rezaur Rahman, Yuliya Tarnikova, Che Wilcox:
Structured and Unstructured Document Summarization: Design of a Commercial Summarizer using Lexical Chains. ICDAR 2003: 1147-1152 - [c16]Hassan Alam, Rachmat Hartono, Aman Kumar, Ahmad Fuad Rezaur Rahman, Yuliya Tarnikova, Che Wilcox:
Web Page Summarization for Handheld Devices: A Natural Language Approach. ICDAR 2003: 1153-1157 - [c15]Hassan Alam, Ahmad Fuad Rezaur Rahman, Yuliya Tarnikova:
Solving Problems Two at a Time: Classification of Web Pages Using a Generic Pair-Wise Multiple Classifier System. Multiple Classifier Systems 2003: 385-394 - [c14]Hassan Alam, Fuad Rahman, Yuliya Tarnikova:
When is a List is a List?: Web Page Re-authoring for Small Display Devices. WWW (Posters) 2003 - 2002
- [j11]Ahmad Fuad Rezaur Rahman, R. Rahman, Michael C. Fairhurst:
Recognition of handwritten Bengali characters: a novel multistage approach. Pattern Recognit. 35(5): 997-1006 (2002) - [c13]Hassan Alam, Hua Cheng, Rachmat Hartono, Aman Kumar, Paul Llido, Crystal Nakatsu, Huy Nguyen, Fuad Rahman, Yuliya Tarnikova, Timotius Tjahjadi, Che Wilcox:
Automatic Semantic Grouping in a Spoken Language User Interface Toolkit. COLING 2002 - [c12]Hassan Alam, Hua Cheng, Rachmat Hartono, Aman Kumar, Paul Llido, Crystal Nakatsu, Fuad Rahman, Yuliya Tarnikova, Timotius Tjahjadi, Che Wilcox:
Extending a Broad-Coverage Parser for a General NLP Toolkit. COLING 2002 - [c11]Ahmad Fuad Rezaur Rahman, Hassan Alam, Michael C. Fairhurst:
Multiple Classifier Combination for Character Recognition: Revisiting the Majority Voting System and Its Variations. Document Analysis Systems 2002: 167-178 - [c10]Ahmad Fuad Rezaur Rahman, Michael C. Fairhurst, Sanaul Hoque:
Novel approaches to optimized self-configuration in high performance multiple-expert classifiers. IWFHR 2002: 189-194 - [c9]Hassan Alam, Ahmad Fuad Rezaur Rahman, Timotius Tjahjadi, Hua Cheng, Paul Llido, Aman Kumar, Rachmat Hartono, Yuliya Tarnikova, Che Wilcox:
Development of Spoken Language User Interfaces: A Tool Kit Approach. SSPR/SPR 2002: 339-347 - [c8]Konstantinos Sirlantzis, Sanaul Hoque, Michael C. Fairhurst, Ahmad Fuad Rezaur Rahman:
Fusion of n-Tuple Based Classifiers for High Performance Handwritten Character Recognition. SSPR/SPR 2002: 770-778 - 2001
- [j10]A. S. Constantinidis, Michael C. Fairhurst, Ahmad Fuad Rezaur Rahman:
A new multi-expert decision combination algorithm and its application to the detection of circumscribed masses in digital mammograms. Pattern Recognit. 34(8): 1527-1537 (2001) - [j9]Ahmad Fuad Rezaur Rahman, W. Gareth J. Howells, Michael C. Fairhurst:
A multiexpert framework for character recognition: a novel application of Clifford networks. IEEE Trans. Neural Networks 12(1): 101-112 (2001) - [c7]Ahmad Fuad Rezaur Rahman, Hassan Alam, Rachmat Hartono, K. Ariyoshi:
Automatic Summarization of Web Content to Smaller Display Devices. ICDAR 2001: 1064-1068 - 2000
- [j8]Gareth Howells, Michael C. Fairhurst, Fuad Rahman:
An exploration of a new paradigm for weightless RAM-based neural networks. Connect. Sci. 12(1): 65-90 (2000) - [j7]Ahmad Fuad Rezaur Rahman, Michael C. Fairhurst:
Multiple expert classification: a new methodology for parallel decision fusion. Int. J. Document Anal. Recognit. 3(1): 40-55 (2000) - [c6]Ahmad Fuad Rezaur Rahman, Michael C. Fairhurst:
Comparison of Some Multiple Expert Strategies: An Investigation of Resource Prerequisites and Achievable Performance. ICPR 2000: 4841-4844 - [c5]Ahmad Fuad Rezaur Rahman, Michael C. Fairhurst:
Decision combination of multiple classifiers for pattern classification: hybridisation of majority voting and divide and conquer techniques. WACV 2000: 58-63
1990 – 1999
- 1999
- [j6]Ahmad Fuad Rezaur Rahman, Michael C. Fairhurst:
Serial Combination of Multiple Experts: A Unified Evaluation. Pattern Anal. Appl. 2(4): 292-311 (1999) - [c4]Ahmad Fuad Rezaur Rahman, Michael C. Fairhurst:
Measuring Classification Complexity of Image Databases: A Novel Approach. ICIAP 1999: 893-897 - 1998
- [j5]Ahmad Fuad Rezaur Rahman, Michael C. Fairhurst:
Machine-printed character recognition revisited: re-application of recent advances in handwritten character recognition research. Image Vis. Comput. 16(12-13): 819-842 (1998) - [j4]Ahmad Fuad Rezaur Rahman, Michael C. Fairhurst:
An Evaluation Of Multi-Expert Configurations For The Recognition Of Handwritten Numerals. Pattern Recognit. 31(9): 1255-1273 (1998) - [j3]Ahmad Fuad Rezaur Rahman, Michael C. Fairhurst, P. Lee:
Design considerations in the real-time implementation of multiple expert image classifiers within a modular and flexible multiple-platform design environment. Real Time Imaging 4(5): 361-376 (1998) - [c3]Ahmad Fuad Rezaur Rahman, Michael C. Fairhurst:
A Novel Confidence-Based Framework for Multiple Expert Decision Fusion. BMVC 1998: 1-9 - 1997
- [j2]Ahmad Fuad Rezaur Rahman, Michael C. Fairhurst:
Selective partition algorithm for finding regions of maximum pairwise dissimilarity among statistical class models. Pattern Recognit. Lett. 18(7): 605-611 (1997) - [j1]Ahmad Fuad Rezaur Rahman, Michael C. Fairhurst:
A new hybrid approach in combining multiple experts to recognise handwritten numerals. Pattern Recognit. Lett. 18(8): 781-790 (1997) - [c2]Ahmad Fuad Rezaur Rahman, Michael C. Fairhurst:
Introducing New Multiple Expert Decision Combination Topologies: A Case Study using Recognition of Handwritten Characters. ICDAR 1997: 886- - [c1]Ahmad Fuad Rezaur Rahman, Michael C. Fairhurst:
A Novel Pair-Wise Recognition Scheme for Handwritten Characters in the Framework of a Multi-expert Configuration. ICIAP (2) 1997: 624-631
Coauthor Index
AKM Shahariar Azad Rabby
aka: A. K. M. Shahariar Azad Rabby
aka: A. K. M. Shahariar Azad Rabby
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last updated on 2024-04-14 01:12 CEST by the dblp team
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