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ORCIDUjjwal Maulik
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- affiliation: Jadavpur University, Department of Computer Science and Engineering, Kolkata, India
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2020 – today
- 2023
[j119]Tapas Si, Debolina Bhattacharya, Somen Nayak, Péricles B. C. de Miranda, Utpal Nandi, Saurav Mallik, Ujjwal Maulik, Hong Qin:
PCOBL: A Novel Opposition-Based Learning Strategy to Improve Metaheuristics Exploration and Exploitation for Solving Global Optimization Problems. IEEE Access 11: 46413-46440 (2023)- [j118]Ujjwal Maulik, Srimanta Kundu:
Automatic Vehicle Pollution Detection Using Feedback Based Iterative Deep Learning. IEEE Trans. Intell. Transp. Syst. 24(5): 4804-4814 (2023) - [i3]Mrittika Chakraborty, Wreetbhas Pal, Sanghamitra Bandyopadhyay, Ujjwal Maulik:
A Survey on Multi-Objective based Parameter Optimization for Deep Learning. CoRR abs/2305.10014 (2023) - 2022
- [j117]Ashmita Dey, Sagnik Sen, Ujjwal Maulik:
Study of transcription factor druggabilty for prostate cancer using structure information, gene regulatory networks and protein moonlighting. Briefings Bioinform. 23(1) (2022) - [j116]Shirsha Bose
, Ritesh Sur Chowdhury, Rangan Das, Ujjwal Maulik:
Dense Dilated Deep Multiscale Supervised U-Network for biomedical image segmentation. Comput. Biol. Medicine 143: 105274 (2022) - [j115]Kakuli Mishra, Srinka Basu, Ujjwal Maulik:
Graft: A graph based time series data mining framework. Eng. Appl. Artif. Intell. 110: 104695 (2022) - [j114]Shatadru Roy Chowdhury, Srinka Basu, Ujjwal Maulik:
A survey on event and subevent detection from microblog data towards crisis management. Int. J. Data Sci. Anal. 14(4): 319-349 (2022) - [j113]Arnabi Bej, Ujjwal Maulik, Anasua Sarkar:
Time-Series Prediction for the Epidemic Trends of COVID-19 Using Conditional Generative Adversarial Networks Regression on Country-Wise Case Studies. SN Comput. Sci. 3(5): 352 (2022) - [j112]Tapas Bhadra, Ujjwal Maulik:
Unsupervised Feature Selection Using Iterative Shrinking and Expansion Algorithm. IEEE Trans. Emerg. Top. Comput. Intell. 6(6): 1453-1462 (2022) - 2021
- [j111]Manosij Ghosh, Sagnik Sen, Ram Sarkar, Ujjwal Maulik:
Quantum squirrel inspired algorithm for gene selection in methylation and expression data of prostate cancer. Appl. Soft Comput. 105: 107221 (2021) - [j110]Ashmita Dey, Sagnik Sen, Ujjwal Maulik:
Unveiling COVID-19-associated organ-specific cell types and cell-specific pathway cascade. Briefings Bioinform. 22(2): 914-923 (2021) - [j109]Sagnik Sen, Ashmita Dey, Sanghamitra Bandhyopadhyay, Vladimir N. Uversky, Ujjwal Maulik:
Understanding structural malleability of the SARS-CoV-2 proteins and relation to the comorbidities. Briefings Bioinform. 22(6) (2021) - [j108]Jnanendra Prasad Sarkar, Indrajit Saha, Anasua Sarkar, Ujjwal Maulik:
Machine learning integrated ensemble of feature selection methods followed by survival analysis for predicting breast cancer subtype specific miRNA biomarkers. Comput. Biol. Medicine 131: 104244 (2021) - [j107]Rangan Das, Sagnik Sen, Ujjwal Maulik:
A Survey on Fuzzy Deep Neural Networks. ACM Comput. Surv. 53(3): 54:1-54:25 (2021) - [j106]Shemim Begum, Ram Sarkar, Debasis Chakraborty, Sagnik Sen, Ujjwal Maulik:
Application of active learning in DNA microarray data for cancerous gene identification. Expert Syst. Appl. 177: 114914 (2021) - [j105]Shemim Begum, Ram Sarkar, Debasis Chakraborty, Ujjwal Maulik:
Identification of Biomarker on Biological and Gene Expression data using Fuzzy Preference Based Rough Set. J. Intell. Syst. 30(1): 130-141 (2021) - [j104]Kakuli Mishra, Srinka Basu, Ujjwal Maulik:
A Dilated Convolutional Based Model for Time Series Forecasting. SN Comput. Sci. 2(2): 90 (2021) - [j103]Srimanta Kundu, Ujjwal Maulik, Anirban Mukhopadhyay:
A game theory-based approach to fuzzy clustering for pixel classification in remote sensing imagery. Soft Comput. 25(7): 5121-5129 (2021) - [j102]Mohana Bakshi, Chandreyee Chowdhury, Ujjwal Maulik:
Energy-efficient cluster head selection algorithm for IoT using modified glow-worm swarm optimization. J. Supercomput. 77(7): 6457-6475 (2021) - [c74]Saurav Mallik, Souvik Rakshit, Ujjwal Maulik, Zhongming Zhao:
Negatively-Associated Maximal Frequent Geneset Mining on DNA Methylation Profile. BIBM 2021: 2443-2450 - [i2]Rangan Das, Bikram Boote, Saumik Bhattacharya, Ujjwal Maulik:
Multipath Graph Convolutional Neural Networks. CoRR abs/2105.01510 (2021) - 2020
- [j101]Jnanendra Prasad Sarkar, Indrajit Saha, Sinjan Chakraborty, Ujjwal Maulik:
Machine learning integrated credibilistic semi supervised clustering for categorical data. Appl. Soft Comput. 86 (2020) - [j100]Kushal Kanti Ghosh, Soulib Ghosh, Sagnik Sen, Ram Sarkar, Ujjwal Maulik:
A two-stage approach towards protein secondary structure classification. Medical Biol. Eng. Comput. 58(8): 1723-1737 (2020) - [j99]Subhadip Basu, Ujjwal Maulik, Umapada Pal:
Special issue on deep learning for video text analysis. Pattern Recognit. Lett. 138: 305-307 (2020) - [c73]Kakuli Mishra, Srinka Basu, Ujjwal Maulik:
A segmentation based similarity measure for time series data. COMAD/CODS 2020: 351-352
2010 – 2019
- 2019
- [j98]Sagnik Sen, Ashmita Dey, Sourav Chowdhury, Ujjwal Maulik, Krishnananda Chattopadhyay:
Understanding the evolutionary trend of intrinsically structural disorders in cancer relevant proteins as probed by Shannon entropy scoring and structure network analysis. BMC Bioinform. 19-S(13): 231-242 (2019) - [j97]Ranjan Kumar Barman, Anirban Mukhopadhyay, Ujjwal Maulik, Santasabuj Das:
Identification of infectious disease-associated host genes using machine learning techniques. BMC Bioinform. 20(1): 736 (2019) - [j96]Swarnendu Ghosh, Nibaran Das, Ishita Das, Ujjwal Maulik:
Understanding Deep Learning Techniques for Image Segmentation. ACM Comput. Surv. 52(4): 73:1-73:35 (2019) - [j95]Manosij Ghosh, Shemim Begum, Ram Sarkar, Debasis Chakraborty, Ujjwal Maulik:
Recursive Memetic Algorithm for gene selection in microarray data. Expert Syst. Appl. 116: 172-185 (2019) - [j94]Indrajit Saha, Jnanendra Prasad Sarkar, Ujjwal Maulik:
Integrated Rough Fuzzy Clustering for Categorical data Analysis. Fuzzy Sets Syst. 361: 1-32 (2019) - [c72]Anjan Bandyopadhyay, Fatos Xhafa, Saurav Mallik, Paul Krause, Sajal Mukhopadhyay, Vikash Kumar Singh, Ujjwal Maulik:
A Framework for Allocation of IoT Devices to the Fog Service Providers in Strategic Setting. 3PGCIC 2019: 340-351 - [c71]Srimanta Kundu, Ujjwal Maulik:
Vehicle Pollution Detection from Images Using Deep Learning. DoSIER 2019: 1-5 - [c70]Jnanendra Prasad Sarkar, Indrajit Saha, Somnath Rakshit, Monalisa Pal, Michal Wlasnowolski, Anasua Sarkar, Ujjwal Maulik, Dariusz Plewczynski:
A new evolutionary rough fuzzy integrated machine learning technique for microRNA selection using next-generation sequencing data of breast cancer. GECCO (Companion) 2019: 1846-1854 - [c69]Somnath Rakshit, Indrajit Saha, Michal Wlasnowolski, Ujjwal Maulik, Dariusz Plewczynski:
Deep Learning for Detection and Localization of Thoracic Diseases Using Chest X-Ray Imagery. ICAISC (2) 2019: 271-282 - [c68]Indrajit Saha, Somnath Rakshit, Michal Denkiewicz, Jnanendra Prasad Sarkar, Debasree Maity, Ujjwal Maulik, Dariusz Plewczynski:
Survival Analysis with the Integration of RNA-Seq and Clinical Data to Identify Breast Cancer Subtype Specific Genes. PReMI (2) 2019: 139-146 - [c67]Kakuli Mishra, Srinka Basu, Ujjwal Maulik:
DaNSe: A Dilated Causal Convolutional Network Based Model for Load Forecasting. PReMI (1) 2019: 234-241 - [c66]Jnanendra Prasad Sarkar, Indrajit Saha, Ujjwal Maulik:
Improved Fuzzy Clustering using Ensemble based Differential Evolution for Remote Sensing Image. TENCON 2019: 880-885 - [i1]Swarnendu Ghosh, Nibaran Das, Ishita Das, Ujjwal Maulik:
Understanding Deep Learning Techniques for Image Segmentation. CoRR abs/1907.06119 (2019) - 2018
- [j93]Sumanta Ray, Ujjwal Maulik:
Discovering Perturbation of Modular Structure in HIV Progression by Integrating Multiple Data Sources Through Non-Negative Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. 15(3): 869-877 (2018) - 2017
- [j92]Sandip Dey, Siddhartha Bhattacharyya, Ujjwal Maulik:
Efficient quantum inspired meta-heuristics for multi-level true colour image thresholding. Appl. Soft Comput. 56: 472-513 (2017) - [j91]Sandip Joardar, Amitava Chatterjee, Sanghamitra Bandyopadhyay, Ujjwal Maulik:
Multi-size patch based collaborative representation for Palm Dorsa Vein Pattern recognition by enhanced ensemble learning with modified interactive artificial bee colony algorithm. Eng. Appl. Artif. Intell. 60: 151-163 (2017) - [c65]Srinka Basu, Saikat Roy, Ujjwal Maulik:
Convolutional regression framework for health behavior prediction. COMSNETS 2017: 214-221 - [c64]Srinka Basu, Saikat Roy, Ujjwal Maulik:
Convolutional Regression Framework for Human Health Prediction Under Social Influences. COMSNETS (Revised Selected Papers and Invited Papers) 2017: 243-261 - [c63]Jnanendra Prasad Sarkar, Indrajit Saha, Anasua Sarkar, Ujjwal Maulik:
Improving Modified Differential Evolution for Fuzzy Clustering. HIS 2017: 136-146 - [c62]Brijesh Kumar Sriwastava, Subhadip Basu, Ujjwal Maulik:
A Quasi-Clique Mining Algorithm for Analysis of the Human Protein-Protein Interaction Network. PReMI 2017: 411-417 - 2016
- [j90]Siddhartha Bhattacharyya, Paramartha Dutta, Ujjwal Maulik:
Preface. Appl. Soft Comput. 46: 523-526 (2016) - [j89]Jnanendra Prasad Sarkar, Indrajit Saha, Ujjwal Maulik:
Rough Possibilistic Type-2 Fuzzy C-Means clustering for MR brain image segmentation. Appl. Soft Comput. 46: 527-536 (2016) - [j88]Sandip Dey, Siddhartha Bhattacharyya, Ujjwal Maulik:
New quantum inspired meta-heuristic techniques for multi-level colour image thresholding. Appl. Soft Comput. 46: 677-702 (2016) - [j87]Srinka Basu, Ujjwal Maulik, Oishik Chatterjee:
Stability of Consensus Node Orderings Under Imperfect Network Data. IEEE Trans. Comput. Soc. Syst. 3(3): 120-131 (2016) - [j86]Srinka Basu, Ujjwal Maulik:
A Game Theory Inspired Approach to Stable Core Decomposition on Weighted Networks. IEEE Trans. Knowl. Data Eng. 28(5): 1105-1117 (2016) - [c61]Adrian Lancucki, Indrajit Saha, Shib Sankar Bhowmick, Ujjwal Maulik, Piotr Lipinski:
A new evolutionary microRNA marker selection using next-generation sequencing data. CEC 2016: 2752-2759 - [c60]Shib Sankar Bhowmick, Indrajit Saha, Ujjwal Maulik, Debotosh Bhattacharjee:
Biomarker identification using next generation sequencing data of RNA. ICACCI 2016: 299-303 - [c59]Shib Sankar Bhowmick, Indrajit Saha, Ujjwal Maulik, Debotosh Bhattacharjee:
Identification of miRNA signature using Next-Generation Sequencing data of prostate cancer. RAIT 2016: 528-533 - [c58]Angan Mitra, Corinne Touati, Stéphane Ploix, Ujjwal Maulik, Nouredine Hadjsaid:
Economical Analysis of Flexibility in Micro Grids. SMARTGREENS 2016: 351-356 - 2015
- [j85]Sanghamitra Bandyopadhyay, Sumanta Ray, Anirban Mukhopadhyay, Ujjwal Maulik:
A multiobjective approach for identifying protein complexes and studying their association in multiple disorders. Algorithms Mol. Biol. 10: 24 (2015) - [j84]Sanghamitra Bandyopadhyay, Sumanta Ray, Anirban Mukhopadhyay, Ujjwal Maulik:
A review of in silico approaches for analysis and prediction of HIV-1-human protein-protein interactions. Briefings Bioinform. 16(5): 830-851 (2015) - [j83]Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay:
A Survey of Multiobjective Evolutionary Clustering. ACM Comput. Surv. 47(4): 61:1-61:46 (2015) - [j82]Anasua Sarkar, Ujjwal Maulik:
Gene microarray data analysis using parallel point-symmetry-based clustering. Int. J. Data Min. Bioinform. 11(3): 277-300 (2015) - [j81]Sanghamitra Bandyopadhyay, Rudrasis Chakraborty, Ujjwal Maulik:
Priority based ∈ dominance: A new measure in multiobjective optimization. Inf. Sci. 305: 97-109 (2015) - [j80]Saurav Mallik, Ujjwal Maulik:
MiRNA-TF-gene network analysis through ranking of biomolecules for multi-informative uterine leiomyoma dataset. J. Biomed. Informatics 57: 308-319 (2015) - [j79]Indrajit Saha, Benedykt Rak, Shib Sankar Bhowmick, Ujjwal Maulik, Debotosh Bhattacharjee, Uwe Koch, Michal Lazniewski, Dariusz Plewczynski:
Binding Activity Prediction of Cyclin-Dependent Inhibitors. J. Chem. Inf. Model. 55(7): 1469-1482 (2015) - [j78]Indrajit Saha, Jnanendra Prasad Sarkar, Ujjwal Maulik:
Ensemble based rough fuzzy clustering for categorical data. Knowl. Based Syst. 77: 114-127 (2015) - [j77]Monalisa Mandal, Anirban Mukhopadhyay, Ujjwal Maulik:
Prediction of protein subcellular localization by incorporating multiobjective PSO-based feature subset selection into the general form of Chou's PseAAC. Medical Biol. Eng. Comput. 53(4): 331-344 (2015) - [j76]Sanghamitra Bandyopadhyay, Tapas Bhadra, Ujjwal Maulik:
Variable Weighted Maximal Relevance Minimal Redundancy Criterion for Feature Selection Using Normalized Mutual Information. J. Multiple Valued Log. Soft Comput. 25(2-3): 189-213 (2015) - [j75]Srinka Basu, Ujjwal Maulik:
Community detection based on strong Nash stable graph partition. Soc. Netw. Anal. Min. 5(1): 61:1-61:15 (2015) - [j74]Brijesh Kumar Sriwastava, Subhadip Basu, Ujjwal Maulik:
Predicting Protein-Protein Interaction Sites with a Novel Membership Based Fuzzy SVM Classifier. IEEE ACM Trans. Comput. Biol. Bioinform. 12(6): 1394-1404 (2015) - [j73]Kaustav Basu, Vincent Debusschere, Seddik Bacha, Ujjwal Maulik, Sanghamitra Bandyopadhyay:
Nonintrusive Load Monitoring: A Temporal Multilabel Classification Approach. IEEE Trans. Ind. Informatics 11(1): 262-270 (2015) - [c57]Giovanni Mazzocco, Shib Sankar Bhowmick, Indrajit Saha, Ujjwal Maulik, Debotosh Bhattacharjee, Dariusz Plewczynski:
MaER: A New Ensemble Based Multiclass Classifier for Binding Activity Prediction of HLA Class II Proteins. PReMI 2015: 462-471 - [c56]Indrajit Saha, Shib Sankar Bhowmick, Filippo Geraci, Marco Pellegrini, Debotosh Bhattacharjee, Ujjwal Maulik, Dariusz Plewczynski:
Analysis of Next-Generation Sequencing Data of miRNA for the Prediction of Breast Cancer. SEMCCO 2015: 116-127 - 2014
- [j72]Anirban Mukhopadhyay, Sumanta Ray, Ujjwal Maulik:
Incorporating the type and direction information in predicting novel regulatory interactions between HIV-1 and human proteins using a biclustering approach. BMC Bioinform. 15: 26 (2014) - [j71]Indrajit Saha, Ujjwal Maulik:
Incremental learning based multiobjective fuzzy clustering for categorical data. Inf. Sci. 267: 35-57 (2014) - [j70]Sandip Dey, Indrajit Saha, Siddhartha Bhattacharyya, Ujjwal Maulik:
Multi-level thresholding using quantum inspired meta-heuristics. Knowl. Based Syst. 67: 373-400 (2014) - [j69]Sanghamitra Bandyopadhyay, Tapas Bhadra, Pabitra Mitra, Ujjwal Maulik:
Integration of dense subgraph finding with feature clustering for unsupervised feature selection. Pattern Recognit. Lett. 40: 104-112 (2014) - [j68]Sandip Dey, Siddhartha Bhattacharyya, Ujjwal Maulik:
Quantum inspired genetic algorithm and particle swarm optimization using chaotic map model based interference for gray level image thresholding. Swarm Evol. Comput. 15: 38-57 (2014) - [j67]Sanghamitra Bandyopadhyay, Ujjwal Maulik, Carlos Artemio Coello Coello, Witold Pedrycz:
Guest Editorial: Special Issue on Advances in Multiobjective Evolutionary Algorithms for Data Mining. IEEE Trans. Evol. Comput. 18(1): 1-3 (2014) - [j66]Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Carlos Artemio Coello Coello:
A Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part I. IEEE Trans. Evol. Comput. 18(1): 4-19 (2014) - [j65]Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Carlos A. Coello Coello:
Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part II. IEEE Trans. Evol. Comput. 18(1): 20-35 (2014) - [c55]Shib Sankar Bhowmick, Indrajit Saha, Giovanni Mazzocco, Ujjwal Maulik, Luís Rato, Debotosh Bhattacharjee, Dariusz Plewczynski:
Application of RotaSVM for HLA Class II Protein-Peptide Interaction Prediction. BIOINFORMATICS 2014: 178-185 - [c54]Srinka Basu, Debarka Sengupta, Ujjwal Maulik, Sanghamitra Bandyopadhyay:
A strong Nash stability based approach to minimum quasi clique partitioning. COMSNETS 2014: 1-6 - [p3]Indrajit Saha, Ujjwal Maulik:
Multiobjective Differential Evolution-Based Fuzzy Clustering for MR Brain Image Segmentation. Advanced Computational Approaches to Biomedical Engineering 2014: 71-86 - [e3]Punam K. Saha, Ujjwal Maulik, Subhadip Basu:
Advanced Computational Approaches to Biomedical Engineering. Springer 2014, ISBN 978-3-642-41538-8 [contents] - 2013
- [b2]Siddhartha Bhattacharyya, Ujjwal Maulik:
Soft Computing for Image and Multimedia Data Processing. Springer 2013, ISBN 978-3-642-40254-8, pp. 1-267 - [j64]Anirban Bhar, Martin Haubrock, Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Edgar Wingender:
Coexpression and coregulation analysis of time-series gene expression data in estrogen-induced breast cancer cell. Algorithms Mol. Biol. 8: 9 (2013) - [j63]Sanghamitra Bandyopadhyay, Ujjwal Maulik, Rudrasis Chakraborty:
Incorporating ϵ-dominance in AMOSA: Application to multiobjective 0/1 knapsack problem and clustering gene expression data. Appl. Soft Comput. 13(5): 2405-2411 (2013) - [j62]Saurav Mallik, Anirban Mukhopadhyay, Ujjwal Maulik:
Integrated Statistical and Rule-Mining Techniques for Dna Methylation and Gene Expression Data Analysis. J. Artif. Intell. Soft Comput. Res. 3(2): 101 (2013) - [j61]Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay:
An Interactive Approach to Multiobjective Clustering of Gene Expression Patterns. IEEE Trans. Biomed. Eng. 60(1): 35-41 (2013) - [j60]Ujjwal Maulik, Anirban Mukhopadhyay, Debasis Chakraborty:
Gene-Expression-Based Cancer Subtypes Prediction Through Feature Selection and Transductive SVM. IEEE Trans. Biomed. Eng. 60(4): 1111-1117 (2013) - [j59]Ujjwal Maulik, Anirban Mukhopadhyay, Malay Bhattacharyya, Lars Kaderali, Benedikt Brors, Sanghamitra Bandyopadhyay, Roland Eils:
Mining Quasi-Bicliques from HIV-1-Human Protein Interaction Network: A Multiobjective Biclustering Approach. IEEE ACM Trans. Comput. Biol. Bioinform. 10(2): 423-435 (2013) - [j58]Debarka Sengupta, Aroonalok Pyne, Ujjwal Maulik, Sanghamitra Bandyopadhyay:
Reformulated Kemeny Optimal Aggregation with Application in Consensus Ranking of microRNA Targets. IEEE ACM Trans. Comput. Biol. Bioinform. 10(3): 742-751 (2013) - [c53]Saurav Mallik, Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay:
Integrated analysis of gene expression and genome-wide DNA methylation for tumor prediction: An association rule mining-based approach. CIBCB 2013: 120-127 - [c52]Monalisa Mandal, Anirban Mukhopadhyay, Ujjwal Maulik:
Fuzzy rule-based classifier for microarray gene expression data by using a multiobjective PSO-based approach. FUZZ-IEEE 2013: 1-7 - [c51]Sumanta Ray, Sanghamitra Bandyopadhyay, Anirban Mukhopadhyay, Ujjwal Maulik:
Incorporating fuzzy semantic similarity measure in detecting human protein complexes in PPI network: A multiobjective approach. FUZZ-IEEE 2013: 1-8 - [c50]Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay:
Hybrid evolutionary multiobjective fuzzy c-medoids clustering of categorical data. HIMA 2013: 7-12 - [c49]Sandip Dey, Indrajit Saha, Ujjwal Maulik, Siddhartha Bhattacharyya:
New quantum inspired meta-heuristic methods for multi-level thresholding. ICACCI 2013: 1236-1240 - [c48]Indrajit Saha, Debasree Maity, Ujjwal Maulik:
Categorical data analysis using Multiobjective Differential Evolution based Fuzzy Clustering. ICACCI 2013: 2013-2017 - [c47]Indrajit Saha, Ujjwal Maulik, Michal Lukasik, Dariusz Plewczynski:
Multiobjective Differential Evolution: A Comparative Study on Benchmark Problems. ICMMI 2013: 529-536 - [c46]Brijesh Kumar Sriwastava, Subhadip Basu, Ujjwal Maulik:
Fuzzy SVM with a Novel Membership Function for Prediction of Protein-Protein Interaction Sites in Homo sapiens. PReMI 2013: 668-673 - [c45]Brijesh Kumar Sriwastava, Subhadip Basu, Ujjwal Maulik, Dariusz Plewczynski:
A Consensus Approach for Identification of Protein-Protein Interaction Sites in Homo Sapiens. PReMI 2013: 674-679 - 2012
- [j57]Ujjwal Maulik, Anasua Sarkar:
Efficient parallel algorithm for pixel classification in remote sensing imagery. GeoInformatica 16(2): 391-407 (2012) - [j56]Surjadeep Sarkar, Basab Chatterjee, Ujjwal Maulik, Baidyanath Biswas:
Elimination of truncation and round off error and enhancement of stability using a new split loop DPLL. Int. J. Commun. Syst. 25(8): 1059-1067 (2012) - [j55]Indrajit Saha, Dariusz Plewczynski, Ujjwal Maulik, Sanghamitra Bandyopadhyay:
Improved differential evolution for microarray analysis. Int. J. Data Min. Bioinform. 6(1): 86-103 (2012) - [j54]Siddhartha Bhattacharyya, Ujjwal Maulik, Paramartha Dutta:
A parallel bi-directional self-organizing neural network (PBDSONN) architecture for color image extraction and segmentation. Neurocomputing 86: 1-23 (2012) - [j53]Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay:
Gene Expression Data Analysis Using Multiobjective Clustering Improved with SVM Based Ensemble. Silico Biol. 11(1-2): 19-27 (2012) - [j52]Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Dariusz Plewczynski:
SVMeFC: SVM Ensemble Fuzzy Clustering for Satellite Image Segmentation. IEEE Geosci. Remote. Sens. Lett. 9(1): 52-55 (2012) - [j51]Ujjwal Maulik, Debasis Chakraborty:
A novel semisupervised SVM for pixel classification of remote sensing imagery. Int. J. Mach. Learn. Cybern. 3(3): 247-258 (2012) - [j50]Abhijit Chakraborty, Sudeshna Ghosh, Garisha Chowdhary, Ujjwal Maulik, Saikat Chakrabarti:
DBETH: A Database of Bacterial Exotoxins for Human. Nucleic Acids Res. 40(Database-Issue): 615-620 (2012) - [j49]Debarka Sengupta, Ujjwal Maulik, Sanghamitra Bandyopadhyay:
Weighted Markov Chain Based Aggregation of Biomolecule Orderings. IEEE ACM Trans. Comput. Biol. Bioinform. 9(3): 924-933 (2012) - [c44]Indrajit Saha, Ujjwal Maulik, Dariusz Plewczynski:
Application of High Quality Amino Acid Indices to AMS 3.0: A Update Note. BIC-TA (1) 2012: 217-225 - [c43]Preeti Gupta, Sanghamitra Bandyopadhyay, Ujjwal Maulik:
An Approach for the Ordering of Evaluation of Objectives in Multiobjective Optimization. BIC-TA (1) 2012: 251-262 - [c42]Kartick Chandra Mondal, Nicolas Pasquier, Anirban Mukhopadhyay, Célia da Costa Pereira, Ujjwal Maulik, Andrea Tettamanzi:
Prediction of Protein Interactions on HIV-1-Human PPI Data using a Novel Closure-based Integrated Approach. BIOINFORMATICS 2012: 164-173