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ORCIDRameswar Debnath
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2020 – today
- 2024
[j13]Avi Deb Raha
, Mrityunjoy Gain, Rameswar Debnath, Apurba Adhikary, Yu Qiao, Md. Mehedi Hassan, Anupam Kumar Bairagi, Sheikh Mohammed Shariful Islam:
Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism. IEEE Access 12: 51942-51965 (2024)- [j12]Avi Deb Raha, Mrityunjoy Gain, Rameswar Debnath, Apurba Adhikary, Yu Qiao, Md. Mehedi Hassan, Anupam Kumar Bairagi, Sheikh Mohammed Shariful Islam:
Corrections to "Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism". IEEE Access 12: 118937 (2024) - [j11]Sajib Chatterjee, Rameswar Debnath, Sujit Biswas, Anupam Kumar Bairagi:
Prediction of RNA Secondary Structure Using Butterfly Optimization Algorithm. Hum. Centric Intell. Syst. 4(2): 220-240 (2024) - [i2]Mrityunjoy Gain, Avi Deb Raha, Rameswar Debnath:
CCC: Color Classified Colorization. CoRR abs/2403.01476 (2024) - [i1]Mrityunjoy Gain, Avi Deb Raha, Rameswar Debnath:
CCC++: Optimized Color Classified Colorization with Segment Anything Model (SAM) Empowered Object Selective Color Harmonization. CoRR abs/2403.11494 (2024) - 2023
- [j10]Mrityunjoy Gain, Rameswar Debnath:
A Novel Unbiased Deep Learning Approach (DL-Net) in Feature Space for Converting Gray to Color Image. IEEE Access 11: 78918-78933 (2023) - [j9]Mrityunjoy Gain, Md. Arifur Rahman, Rameswar Debnath, Mrim M. Alnfiai, Abdullah Sheikh, Mehedi Masud, Anupam Kumar Bairagi:
An Improved Encoder-Decoder CNN with Region-Based Filtering for Vibrant Colorization. Comput. Syst. Sci. Eng. 46(1): 1059-1077 (2023) - [c7]Smritikana Mondal, Manishankar Mondal, Rameswar Debnath:
Granularity-Based Comparison of the Bug-Proneness of Code Clones. IWSC 2023: 8-14 - 2022
- [j8]Aysha Akther, Md. Shymon Islam, Hafsa Sultana, A. K. Z. Rasel Rahman, Sujana Saha, Kazi Masudul Alam, Rameswar Debnath:
Compilation, Analysis and Application of a Comprehensive Bangla Corpus KUMono. IEEE Access 10: 79999-80014 (2022) - [j7]Rafflesia Khan, Rameswar Debnath:
Morphology Preserving Segmentation Method for Occluded Cell Nuclei from Medical Microscopy Image. Int. J. Image Graph. 22(2): 2250019:1-2250019:31 (2022) - [d1]Aysha Akther, Md. Shymon Islam, Hafsa Sultana, A. K. Z. Rasel Rahman, Sujana Saha, Kazi Masudul Alam, Rameswar Debnath:
Compilation, Analysis and Application of a Comprehensive Bangla Corpus KUMono. IEEE DataPort, 2022
- 2020
- [j6]Ashrafi Akram, Rameswar Debnath:
An automated eye disease recognition system from visual content of facial imagesusing machine learning techniques. Turkish J. Electr. Eng. Comput. Sci. 28(2): 917-932 (2020)
2010 – 2019
- 2010
- [j5]Rameswar Debnath, Takio Kurita:
An evolutionary approach for gene selection and classification of microarray data based on SVM error-bound theories. Biosyst. 100(1): 39-46 (2010)
2000 – 2009
- 2009
- [j4]Rameswar Debnath, Masakazu Muramatsu, Haruhisa Takahashi:
Implementation Issues of Second-Order Cone Programming Approaches for Support Vector Machine Learning Problems. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 92-A(4): 1209-1222 (2009) - [c6]Rameswar Debnath, Takio Kurita:
An Evolutionary Gene Selection Method for Microarray Data Based on SVM Error Bound Theories. BIOCOMP 2009: 153-158 - 2008
- [c5]Ripon Kumar Saha, Naresh Chandra Biswas, Rameswar Debnath:
A New Approach for Adding Facial Expression to Neutral Face. CGVR 2008: 87-92 - 2006
- [c4]Rameswar Debnath, Haruhisa Takahashi:
SVM Training: Second-Order Cone Programming versus Quadratic Programming. IJCNN 2006: 1162-1168 - 2005
- [j3]Rameswar Debnath, Masakazu Muramatsu, Haruhisa Takahashi:
An Efficient Support Vector Machine Learning Method with Second-Order Cone Programming for Large-Scale Problems. Appl. Intell. 23(3): 219-239 (2005) - 2004
- [j2]Rameswar Debnath, Haruhisa Takahashi:
Kernel Selection for the Support Vector Machine. IEICE Trans. Inf. Syst. 87-D(12): 2903-2904 (2004) - [j1]Rameswar Debnath, N. Takahide, Haruhisa Takahashi:
A decision based one-against-one method for multi-class support vector machine. Pattern Anal. Appl. 7(2): 164-175 (2004) - [c3]Rameswar Debnath, Masakazu Muramatsu, Haruhisa Takahashi:
A New Model for Large Margin Classifiers by Second Order Cone Programming. IC-AI 2004: 877-882 - 2003
- [c2]Rameswar Debnath, N. Takahide, Haruhisa Takahashi:
A Fast Learning Decision-Based SVM for Multi-Class Problems. ICMLA 2003: 128-134 - 2002
- [c1]Rameswar Debnath, Haruhisa Takahashi:
Learning Capability: Classical RBF Network vs. SVM with Gaussian Kernel. IEA/AIE 2002: 293-302
Coauthor Index
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