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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
- 2025
[j129]Tapas Si
, Péricles B. C. Miranda, Utpal Nandi, Nanda Dulal Jana, Ujjwal Maulik, Saurav Mallik, Mohd Asif Shah:
QSHO: Quantum spotted hyena optimizer for global optimization. Artif. Intell. Rev. 58(3): 71 (2025)- [j128]Suparna Dutta, Monidipa Das, Ujjwal Maulik:
Lightweight deep learning models for aerial scene classification: A comprehensive survey. Eng. Appl. Artif. Intell. 142: 109859 (2025) - 2024
- [b3]Anirban Mukhopadhyay, Sumanta Ray, Ujjwal Maulik, Sanghamitra Bandyopadhyay:
Multiobjective Optimization Algorithms for Bioinformatics. Springer 2024, ISBN 978-981-97-1630-2, pp. 1-218 - [j127]Tapas Si, Péricles B. C. Miranda, Utpal Nandi, Nanda Dulal Jana, Saurav Mallik, Ujjwal Maulik, Hong Qin:
Opposition-Based Chaotic Tunicate Swarm Algorithms for Global Optimization. IEEE Access 12: 18168-18188 (2024) - [j126]Ananya Bose, Ujjwal Maulik, Anasua Sarkar:
An entropy-based membership approach on type-II fuzzy set (EMT2FCM) for biomedical image segmentation. Eng. Appl. Artif. Intell. 127(Part A): 107267 (2024) - [j125]Suparna Dutta, Monidipa Das, Ujjwal Maulik:
Toward Causality-Based Explanation of Aerial Scene Classifiers. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j124]Mrittika Chakraborty, Ujjwal Maulik, Anirban Mukhopadhyay:
Granular Box Regression Using Simulated Annealing and Genetic Algorithm: A Comparative Study. SN Comput. Sci. 5(8): 978 (2024) - [j123]Shatadru Roy Chowdhury, Srinka Basu, Ujjwal Maulik:
Disastrous Event and Sub-Event Detection From Microblog Posts Using Bi-Clustering Method. IEEE Trans. Comput. Soc. Syst. 11(1): 161-170 (2024) - [c79]Kakuli Mishra, Srinka Basu, Ujjwal Maulik:
Network Science for Time Series Clustering and its Applications. COMSNETS 2024: 439-441 - 2023
- [j122]Tapas Si, Debolina Bhattacharya, Somen Nayak, Péricles B. C. 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) - [j121]Mrittika Chakraborty, Wreetbhas Pal, Sanghamitra Bandyopadhyay, Ujjwal Maulik:
A Survey on Multi-Objective Based Parameter Optimization for Deep Learning. Comput. Sci. 24(3) (2023) - [j120]Rangan Das, Shirsha Bose, Ritesh Sur Chowdhury, Ujjwal Maulik:
Dense Dilated Multi-Scale Supervised Attention-Guided Network for histopathology image segmentation. Comput. Biol. Medicine 163: 107182 (2023) - [j119]Ujjwal Maulik, Srimanta Kundu:
Automatic Vehicle Pollution Detection Using Feedback Based Iterative Deep Learning. IEEE Trans. Intell. Transp. Syst. 24(5): 4804-4814 (2023) - [j118]Mohana Bakshi, Chandreyee Chowdhury, Ujjwal Maulik:
Cuckoo search optimization-based energy efficient job scheduling approach for IoT-edge environment. J. Supercomput. 79(16): 18227-18255 (2023) - [c78]Grazyna Starzec, Mateusz Starzec, Sanghamitra Bandyopadhyay, Ujjwal Maulik, Leszek Rutkowski, Marek Kisiel-Dorohinicki, Aleksander Byrski:
Two-Dimensional Pheromone in Ant Colony Optimization. ICCCI 2023: 459-471 - [c77]Kakuli Mishra, Srinka Basu, Ujjwal Maulik:
Aggregate Load Forecasting in Residential Smart Grids Using Deep Learning Model. PReMI 2023: 12-19 - [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) - [c76]Mrittika Chakraborty, Sukanya Sardar, Ujjwal Maulik:
A Comparative Analysis of Non-gradient Methods of Class Activation Mapping. DoSIER 2022: 187-196 - 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) - [c75]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) - [c74]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) - [c73]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 - [c72]Srimanta Kundu, Ujjwal Maulik:
Vehicle Pollution Detection from Images Using Deep Learning. DoSIER 2019: 1-5 - [c71]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 - [c70]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 - [c69]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 - [c68]Kakuli Mishra, Srinka Basu, Ujjwal Maulik:
DaNSe: A Dilated Causal Convolutional Network Based Model for Load Forecasting. PReMI (1) 2019: 234-241 - [c67]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) - [c66]Sagnik Sen, Ujjwal Maulik:
Detecting the Common Biomarkers for Early Stage Parkinson's Disease and Early Stage Alzheimer's Disease Associated with Intrinsically Disordered Protein. ICACDS (1) 2018: 25-34 - 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 - [c41]Sriparna Saha, Asif Ekbal, Sidharth Sharma, Sanghamitra Bandyopadhyay, Ujjwal Maulik:
Protein Secondary Structure Prediction Using Machine Learning. ISI 2012: 57-63 - [c40]Debarka Sengupta, Ujjwal Maulik, Sanghamitra Bandyopadhyay:
Score Based Aggregation of microRNA Target Orderings. ISBRA 2012: 237-248 - [c39]Kartick Chandra Mondal, Nicolas Pasquier, Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay:
A New Approach for Association Rule Mining and Bi-clustering Using Formal Concept Analysis. MLDM 2012: 86-101 - [c38]Indrajit Saha, Jnanendra Prasad Sarkar, Ujjwal Maulik:
Rough Set Based Fuzzy K-Modes for Categorical Data. SEMCCO 2012: 323-330 - [c37]Debasree Maity, Indrajit Saha, Ujjwal Maulik, Dariusz Plewczynski:
Soft Computing Approach for VLSI Mincut Partitioning: The State of the Arts. SocProS 2012: 895-903 - [c36]Anirban Bhar, Martin Haubrock, Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Edgar Wingender:
δ-TRIMAX: Extracting Triclusters and Analysing Coregulation in Time Series Gene Expression Data. WABI 2012: 165-177 - 2011
- [b1]Ujjwal Maulik, Sanghamitra Bandyopadhyay, Anirban Mukhopadhyay:
Multiobjective Genetic Algorithms for Clustering - Applications in Data Mining and Bioinformatics. Springer 2011, ISBN 978-3-642-16614-3, pp. I-XVI, 1-281 - [j48]Anirban Mukhopadhyay, Ujjwal Maulik:
A multiobjective approach to MR brain image segmentation. Appl. Soft Comput. 11(1): 872-880 (2011) - [j47]Siddhartha Bhattacharyya, Ujjwal Maulik, Paramartha Dutta:
Multilevel image segmentation with adaptive image context based thresholding. Appl. Soft Comput. 11(1): 946-962 (2011) - [j46]Indrajit Saha, Ujjwal Maulik, Dariusz Plewczynski:
A new multi-objective technique for differential fuzzy clustering. Appl. Soft Comput. 11(2): 2765-2776 (2011) - [j45]Ujjwal Maulik:
Analysis of gene microarray data in a soft computing framework. Appl. Soft Comput. 11(6): 4152-4160 (2011) - [j44]Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Dariusz Plewczynski:
Improvement of new automatic differential fuzzy clustering using SVM classifier for microarray analysis. Expert Syst. Appl. 38(12): 15122-15133 (2011) - [j43]Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Dariusz Plewczynski:
Unsupervised and Supervised Learning Approaches Together for Microarray Analysis. Fundam. Informaticae 106(1): 45-73 (2011) - [j42]Sriparna Saha, Ujjwal Maulik:
A new line symmetry distance based automatic clustering technique: Application to image segmentation. Int. J. Imaging Syst. Technol. 21(1): 86-100 (2011) - [j41]Ujjwal Maulik, Debasis Chakraborty:
A self-trained ensemble with semisupervised SVM: An application to pixel classification of remote sensing imagery. Pattern Recognit. 44(3): 615-623 (2011) - [c35]Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay:
Discovery of MicroRNA markers: An SVM-based multiobjective feature selection approach. CIBCB 2011: 141-145 - [c34]Indrajit Saha, Ujjwal Maulik, Dariusz Plewczynski:
Multiobjective Differential Crisp Clustering for Evaluation of Clusters Dynamically. ICMMI 2011: 307-313 - [c33]Indrajit Saha, Ujjwal Maulik, Dariusz Plewczynski:
PMAFC: A New Probabilistic Memetic Algorithm Based Fuzzy Clustering. ISMIS 2011: 602-611 - [c32]Malay Bhattacharyya, Sanghamitra Bandyopadhyay, Ujjwal Maulik:
Finding Bicliques in Digraphs: Application into Viral-Host Protein Interactome. PReMI 2011: 412-417 - [c31]Debasis Chakraborty, Ujjwal Maulik:
Semisupervised pixel classification of remote sensing imagery using transductive SVM. ReTIS 2011: 30-35 - [c30]Anirban Mukhopadhyay, Moumita De, Ujjwal Maulik:
Selection of GO-Based Semantic Similarity Measures through AMDE for Predicting Protein-Protein Interactions. SEMCCO (2) 2011: 55-62 - [e2]Mita Nasipuri, Sarmistha Neogy, Jamuna Kanta Sing, Amit Konar, Ujjwal Maulik, Subhadip Basu, Debasish Jana:
International Conference on Recent Trends in Information Systems, ReTIS 2011, December 21-23, 2011, Jadavpur University, Kolkata, India, Proceedings. IEEE 2011, ISBN 978-1-4577-0792-6 [contents] - 2010
- [j40]Ramkrishna Mitra, Sanghamitra Bandyopadhyay, Ujjwal Maulik, Michael Q. Zhang:
SFSSClass: an integrated approach for miRNA based tumor classification. BMC Bioinform. 11(S-1): 22 (2010) - [j39]Ujjwal Maulik, Anirban Mukhopadhyay:
Simulated annealing based automatic fuzzy clustering combined with ANN classification for analyzing microarray data. Comput. Oper. Res. 37(8): 1369-1380 (2010) - [j38]Sriparna Saha, Ujjwal Maulik:
Use of symmetry and stability for data clustering. Evol. Intell. 3(3-4): 103-122 (2010) - [j37]Ujjwal Maulik, Anasua Sarkar:
Evolutionary Rough Parallel Multi-Objective Optimization Algorithm. Fundam. Informaticae 99(1): 13-27 (2010) - [j36]Ujjwal Maulik, Debasis Chakraborty:
A Robust Multiple Classifier System for Pixel Classification of Remote Sensing Images. Fundam. Informaticae 101(4): 286-304 (2010) - [j35]Ujjwal Maulik, Indrajit Saha:
Automatic Fuzzy Clustering Using Modified Differential Evolution for Image Classification. IEEE Trans. Geosci. Remote. Sens. 48(9): 3503-3510 (2010) - [j34]Ujjwal Maulik, Sanghamitra Bandyopadhyay, Indrajit Saha:
Integrating Clustering and Supervised Learning for Categorical Data Analysis. IEEE Trans. Syst. Man Cybern. Part A 40(4): 664-675 (2010) - [c29]Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay:
Simultaneous informative gene selection and clustering through multiobjective optimization. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c28]Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Dariusz Plewczynski:
Real-coded differential crisp clustering for MRI brain image segmentation. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c27]Kartick Chandra Mondal, Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Nicolas Pasquier:
MOSCFRA: A Multi-objective Genetic Approach for Simultaneous Clustering and Gene Ranking. CIBB 2010: 174-187 - [c26]Indrajit Saha, Dariusz Plewczynski, Ujjwal Maulik, Sanghamitra Bandyopadhyay:
Improvement of Differential Crisp Clustering using ANN Classifier for Unsupervised Pixel Classification of Satellite Image. ICEIS (2) 2010: 21-29 - [c25]Indrajit Saha, Dariusz Plewczynski, Ujjwal Maulik, Sanghamitra Bandyopadhyay:
Consensus Multiobjective Differential Crisp Clustering for Categorical Data Analysis. RSCTC 2010: 30-39 - [c24]Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Dariusz Plewczynski:
Cancer Classification using SVM-boosted Multiobjective Differential Fuzzy Clustering. STAIRS 2010: 290-302
2000 – 2009
- 2009
- [j33]Siddhartha Bhattacharyya, Ujjwal Maulik, Paramartha Dutta:
High-speed target tracking by fuzzy hostility-induced segmentation of optical flow field. Appl. Soft Comput. 9(1): 126-134 (2009) - [j32]Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay:
Combining Pareto-optimal clusters using supervised learning for identifying co-expressed genes. BMC Bioinform. 10 (2009) - [j31]Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay:
A Novel Coherence Measure for Discovering Scaling Biclusters from Gene Expression Data. J. Bioinform. Comput. Biol. 7(5): 853-868 (2009) - [j30]Utpal Biswas, Ujjwal Maulik, Anirban Mukhopadhyay, Mrinal Kanti Naskar:
Multiobjective evolutionary approach to cost-effective traffic grooming in unidirectional SONET/WDM rings. Photonic Netw. Commun. 18(1): 105-115 (2009) - [j29]Ujjwal Maulik, Indrajit Saha:
Modified differential evolution based fuzzy clustering for pixel classification in remote sensing imagery. Pattern Recognit. 42(9): 2135-2149 (2009) - [j28]Anirban Mukhopadhyay, Ujjwal Maulik:
Towards improving fuzzy clustering using support vector machine: Application to gene expression data. Pattern Recognit. 42(11): 2744-2763 (2009) - [j27]Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay:
Multiobjective Genetic Algorithm-Based Fuzzy Clustering of Categorical Attributes. IEEE Trans. Evol. Comput. 13(5): 991-1005 (2009) - [j26]Anirban Mukhopadhyay, Ujjwal Maulik:
Unsupervised Pixel Classification in Satellite Imagery Using Multiobjective Fuzzy Clustering Combined With SVM Classifier. IEEE Trans. Geosci. Remote. Sens. 47(4): 1132-1138 (2009) - [j25]Ujjwal Maulik:
Medical Image Segmentation Using Genetic Algorithms. IEEE Trans. Inf. Technol. Biomed. 13(2): 166-173 (2009) - [j24]Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay:
Finding Multiple Coherent Biclusters in Microarray Data Using Variable String Length Multiobjective Genetic Algorithm. IEEE Trans. Inf. Technol. Biomed. 13(6): 969-975 (2009) - [c23]Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay:
Unsupervised cancer classification through SVM-boosted multiobjective fuzzy clustering with majority voting ensemble. IEEE Congress on Evolutionary Computation 2009: 255-261 - [c22]Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, Ujjwal Maulik:
Analysis of microarray data using multiobjective variable string length genetic fuzzy clustering. IEEE Congress on Evolutionary Computation 2009: 1313-1319 - [c21]Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay:
Refining Genetic Algorithm Based Fuzzy Clustering through Supervised Learning for Unsupervised Cancer Classification. EvoBIO 2009: 191-202 - [c20]Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopadhyay:
An Improved Multi-objective Technique for Fuzzy Clustering with Application to IRS Image Segmentation. EvoWorkshops 2009: 426-431 - [c19]Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay:
Multiobjective Genetic Clustering with Ensemble Among Pareto Front Solutions: Application to MRI Brain Image Segmentation. ICAPR 2009: 236-239 - [c18]Anasua Sarkar, Ujjwal Maulik:
Parallel Point Symmetry Based Clustering for Gene Microarray Data. ICAPR 2009: 351-354 - [c17]Anirban Mukhopadhyay, Ujjwal Maulik:
Unsupervised Satellite Image Segmentation by Combining SA Based Fuzzy Clustering with Support Vector Machine. ICAPR 2009: 381-384 - [c16]Chandan Koner, C. T. Bhunia, Ujjwal Maulik:
An Efficient and Reliable Time Variant Three-Entity and Data Authentication of Remote User Using Smart card. ITNG 2009: 487-491 - 2008
- [j23]Anirban Mukhopadhyay, Ujjwal Maulik:
Unsupervised Pixel Classification in Satellite Imagery: A Two-stage Fuzzy Clustering Approach. Fundam. Informaticae 86(4): 411-428 (2008) - [j22]Sanghamitra Bandyopadhyay, Sriparna Saha, Ujjwal Maulik, Kalyanmoy Deb:
A Simulated Annealing-Based Multiobjective Optimization Algorithm: AMOSA. IEEE Trans. Evol. Comput. 12(3): 269-283 (2008) - [j21]Sanghamitra Bandyopadhyay, Ujjwal Maulik, D. Roy:
Gene Identification: Classical and Computational Intelligence Approaches. IEEE Trans. Syst. Man Cybern. Part C 38(1): 55-68 (2008) - [j20]Ujjwal Maulik:
Hierarchical Pattern Discovery in Graphs. IEEE Trans. Syst. Man Cybern. Part C 38(6): 867-872 (2008) - [c15]Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, Ujjwal Maulik:
Combining multiobjective fuzzy clustering and probabilistic ANN classifier for unsupervised pattern classification: Application to satellite image segmentation. IEEE Congress on Evolutionary Computation 2008: 877-883 - [c14]Chingtham Tejbanta Singh, Ujjwal Maulik:
A framework for an artificial immunity and speech based navigation for mobile robots. IEEE Congress on Evolutionary Computation 2008: 1247-1251 - [c13]Ujjwal Maulik, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, Michael Q. Zhang, Xuegong Zhang:
Multiobjective fuzzy biclustering in microarray data: Method and a new performance measure. IEEE Congress on Evolutionary Computation 2008: 1536-1543 - 2007
- [j19]Sanghamitra Bandyopadhyay, Anirban Mukhopadhyay, Ujjwal Maulik:
An improved algorithm for clustering gene expression data. Bioinform. 23(21): 2859-2865 (2007) - [j18]Siddhartha Bhattacharyya, Paramartha Dutta, Ujjwal Maulik:
Binary object extraction using bi-directional self-organizing neural network (BDSONN) architecture with fuzzy context sensitive thresholding. Pattern Anal. Appl. 10(4): 345-360 (2007) - [j17]Sanghamitra Bandyopadhyay, Ujjwal Maulik, Anirban Mukhopadhyay:
Multiobjective Genetic Clustering for Pixel Classification in Remote Sensing Imagery. IEEE Trans. Geosci. Remote. Sens. 45(5-2): 1506-1511 (2007) - [c12]Anirban Mukhopadhyay, Ujjwal Maulik:
Multiobjective approach to categorical data clustering. IEEE Congress on Evolutionary Computation 2007: 1296-1303 - [c11]Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay:
Multiobjective Genetic Fuzzy Clustering of Categorical Attributes. ICIT 2007: 74-79 - [p2]Sanghamitra Bandyopadhyay, Santanu Santra, Ujjwal Maulik, Heinz Mühlenbein:
In Silico Design of Ligands Using Properties of Target Active Sites. Analysis of Biological Data: A Soft Computing Approach 2007: 183-201 - [p1]Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay:
Multiobjective Evolutionary Approach to Fuzzy Clustering of Microarray Data. Analysis of Biological Data: A Soft Computing Approach 2007: 303-328 - [e1]Sanghamitra Bandyopadhyay, Ujjwal Maulik, Jason Tsong-Li Wang:
Analysis of Biological Data: A Soft Computing Approach. Science, Engineering, and Biology Informatics 3, World Scientific 2007, ISBN 981-270-780-8 [contents] - 2006
- [j16]Sanghamitra Bandyopadhyay, Chris Giannella, Ujjwal Maulik, Hillol Kargupta, Kun Liu, Souptik Datta:
Clustering distributed data streams in peer-to-peer environments. Inf. Sci. 176(14): 1952-1985 (2006) - [c10]Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay:
Efficient Two-stage Fuzzy Clustering of Microarray Gene Expression Data. ICIT 2006: 11-14 - [c9]Sriparna Saha, Sanghamitra Bandyopadhyay, Ujjwal Maulik:
A New Symmetry Based Cluster Validity Index: Application to Satellite Image Segmentation. ICIT 2006: 121-124 - [c8]Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, Ujjwal Maulik:
Clustering using Multi-objective Genetic Algorithm and its Application to Image Segmentation. SMC 2006: 2678-2683 - 2005
- [j15]Malay Kumar Pakhira, Sanghamitra Bandyopadhyay, Ujjwal Maulik:
A study of some fuzzy cluster validity indices, genetic clustering and application to pixel classification. Fuzzy Sets Syst. 155(2): 191-214 (2005) - [j14]Sanghamitra Bandyopadhyay, Angshuman Bagchi, Ujjwal Maulik:
Active Site Driven Ligand Design: an Evolutionary Approach. J. Bioinform. Comput. Biol. 3(5): 1053-1070 (2005) - [r2]Ujjwal Maulik, Sanghamitra Bandyopadhyay, Sajal K. Das:
Medical Imaging and Diagnosis Using Genetic Algorithms. Handbook of Bioinspired Algorithms and Applications 2005 - [r1]Mrinal Kanti Naskar, Anirban Mukhopadhyay, Utpal Biswas, Ujjwal Maulik, Sanghamitra Bandyopadhyay:
Minimization of SADMs in Unidirectional SONET/WDM Rings Using Genetic Algorithms. Handbook of Bioinspired Algorithms and Applications 2005 - 2004
- [j13]Malay Kumar Pakhira, Sanghamitra Bandyopadhyay, Ujjwal Maulik:
Validity index for crisp and fuzzy clusters. Pattern Recognit. 37(3): 487-501 (2004) - 2003
- [j12]Bijay Baran Pal, Bhola Nath Moitra, Ujjwal Maulik:
A goal programming procedure for fuzzy multiobjective linear fractional programming problem. Fuzzy Sets Syst. 139(2): 395-405 (2003) - [j11]Ujjwal Maulik, Sanghamitra Bandyopadhyay:
Fuzzy partitioning using a real-coded variable-length genetic algorithm for pixel classification. IEEE Trans. Geosci. Remote. Sens. 41(5): 1075-1081 (2003) - [c7]Samir Roy, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Subhadip Basu, Biplab Kumar Sikdar:
Efficient BIST design for sequential machines using FiF-FoF values in machine states. ASP-DAC 2003: 875-878 - [c6]Ujjwal Maulik:
Pattern Discovery in Graphs: A Hierarchical Approach. IICAI 2003: 568-577 - [c5]Samir Roy, Sanghamitra Bandyopadhyay, Ujjwal Maulik:
Evolutionary Approach to Solve the Complex-Triangle Elimination (CTE) Problem of VLSI Floor-planning. IICAI 2003: 646-655 - [c4]Samir Roy, Ujjwal Maulik, Biplab K. Sikdar:
Exploiting Ghost-FSMs as a BIST Structure for Sequential Machines. VLSI Design 2003: 155-160 - 2002
- [j10]Sanghamitra Bandyopadhyay, Ujjwal Maulik:
An evolutionary technique based on K-Means algorithm for optimal clustering in RN. Inf. Sci. 146(1-4): 221-237 (2002) - [j9]Ujjwal Maulik, Sanghamitra Bandyopadhyay:
Performance Evaluation of Some Clustering Algorithms and Validity Indices. IEEE Trans. Pattern Anal. Mach. Intell. 24(12): 1650-1654 (2002) - [j8]Sanghamitra Bandyopadhyay, Ujjwal Maulik:
Genetic clustering for automatic evolution of clusters and application to image classification. Pattern Recognit. 35(6): 1197-1208 (2002) - [j7]Sanghamitra Bandyopadhyay, Ujjwal Maulik:
Efficient prototype reordering in nearest neighbor classification. Pattern Recognit. 35(12): 2791-2799 (2002) - [c3]Sanghamitra Bandyopadhyay, Ujjwal Maulik, Diane J. Cook, Lawrence B. Holder, Yousuf Ajmerwala:
Enhancing Structure Discovery for Data Mining in Graphical Databases Using Evolutionary Programming. FLAIRS 2002: 232-236 - [c2]Supratim Bhattacharya, Ujjwal Maulik, Sanghamitra Bandyopadhyay:
Efficient Object Extraction Using Fuzzy Cardinality Based Thresholding, Hopfield Network. ICVGIP 2002 - [c1]Ujjwal Maulik, Sanghamitra Bandyopadhyay, Malay Kumar Pakhira:
Clustering Using Annealing Evolution: Application to Pixel Classification of Satellite Images. ICVGIP 2002 - 2001
- [j6]Sanghamitra Bandyopadhyay, Ujjwal Maulik, Malay Kumar Pakhira:
Clustering Using Simulated Annealing with Probabilistic Redistribution. Int. J. Pattern Recognit. Artif. Intell. 15(2): 269-285 (2001) - [j5]Ujjwal Maulik, Sanghamitra Bandyopadhyay, John C. Trinder:
SAFE: An Efficient Feature Extraction Technique. Knowl. Inf. Syst. 3(3): 374-387 (2001) - [j4]Sanghamitra Bandyopadhyay, Ujjwal Maulik:
Nonparametric genetic clustering: comparison of validity indices. IEEE Trans. Syst. Man Cybern. Syst. 31(1): 120-125 (2001) - 2000
- [j3]Ujjwal Maulik, Sanghamitra Bandyopadhyay, Siddhartha Bhattacharyya:
Fault tolerant permutation mapping in multistage interconnection network. J. Syst. Archit. 46(3): 297-300 (2000) - [j2]Ujjwal Maulik, Sanghamitra Bandyopadhyay:
Genetic algorithm-based clustering technique. Pattern Recognit. 33(9): 1455-1465 (2000)
1990 – 1999
- 1998
- [j1]Sanghamitra Bandyopadhyay, Sankar K. Pal, Ujjwal Maulik:
Incorporating Chromosome Differentaition in Genetic Algorithms. Inf. Sci. 104(3-4): 293-319 (1998)
Coauthor Index
[b3] [j121] [c78] [i3] [j91] [j85] [j84] [j83] [j81] [j76] [j73] [j69] [j67] [j66] [j65] [c54] [j64] [j63] [j61] [j59] [j58] [c53] [c51] [c50] [j55] [j53] [j52] [j49] [c43] [c41] [c40] [c39] [c36] [b1] [j44] [j43] [c35] [c32] [j40] [j34] [c29] [c28] [c27] [c26] [c25] [c24] [j32] [j31] [j27] [j24] [c23] [c22] [c21] [c20] [c19] [j22] [j21] [c15] [c13] [j19] [j17] [c11] [p2] [p1] [e1] [j16] [c10] [c9] [c8] [j15] [j14] [r2] [r1] [j13] [j11] [c7] [c5] [j10] [j9] [j8] [j7] [c3] [c2] [c1] [j6] [j5] [j4] [j3] [j2] [j1]
[b3] [j124] [j103] [j97] [j85] [j84] [j83] [j77] [j72] [j66] [j65] [j64] [j62] [j61] [j60] [j59] [c53] [c52] [c51] [c50] [j53] [c42] [c39] [c36] [b1] [j48] [c35] [c30] [j39] [c29] [c27] [j32] [j31] [j30] [j28] [j27] [j26] [j24] [c23] [c22] [c21] [c19] [c17] [j23] [c15] [c13] [j19] [j17] [c12] [c11] [p1] [c10] [c8] [r1]
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