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Siddhartha Bhattacharyya
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- affiliation: Christ University, Bangalore, India
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Books and Theses
- 2016
- [b2]Sourav De, Siddhartha Bhattacharyya, Susanta Chakraborty, Paramartha Dutta:
Hybrid Soft Computing for Multilevel Image and Data Segmentation. Computational Intelligence Methods and Applications, Springer 2016, ISBN 978-3-319-47523-3, pp. 1-217 - 2013
- [b1]Siddhartha Bhattacharyya, Ujjwal Maulik:
Soft Computing for Image and Multimedia Data Processing. Springer 2013, ISBN 978-3-642-40254-8, pp. 1-267
Journal Articles
- 2024
- [j86]Anjan Bandyopadhyay, Sujata Swain, Raj Singh, Pritam Sarkar, Siddhartha Bhattacharyya, Leo Mrsic:
Game-Theoretic Resource Allocation and Dynamic Pricing Mechanism in Fog Computing. IEEE Access 12: 51704-51718 (2024) - [j85]Siddhartha Bhattacharyya, Debashis De, Sergey Gorbachev, Debanjan Konar:
Virtual special issue on quantum inspired soft computing for intelligent data processing guest editorial. Appl. Soft Comput. 151: 111156 (2024) - [j84]M. K. Nallakaruppan, Balamurugan Balusamy, M. Lawanya Shri, V. Malathi, Siddhartha Bhattacharyya:
An Explainable AI framework for credit evaluation and analysis. Appl. Soft Comput. 153: 111307 (2024) - [j83]Vaishali Ravindranath, M. K. Nallakaruppan, M. Lawanya Shri, Balamurugan Balusamy, Siddhartha Bhattacharyya:
Evaluation of performance enhancement in Ethereum fraud detection using oversampling techniques. Appl. Soft Comput. 161: 111698 (2024) - [j82]Abhishek Gunjan, Siddhartha Bhattacharyya:
Quantum-inspired meta-heuristic approaches for a constrained portfolio optimization problem. Evol. Intell. 17(4): 3061-3100 (2024) - [j81]Alokananda Dey, Siddhartha Bhattacharyya, Sandip Dey, Jan Platos, Václav Snásel:
A quantum inspired differential evolution algorithm for automatic clustering of real life datasets. Multim. Tools Appl. 83(3): 8469-8498 (2024) - [j80]Koyel Chakraborty, Siddhartha Bhattacharyya, Rajib Bag, Leo Mrsic:
Sentiment analysis on labeled and unlabeled datasets using BERT architecture. Soft Comput. 28(15-16): 8623-8640 (2024) - [j79]Debanjan Konar, Siddhartha Bhattacharyya, Tapan K. Gandhi, Bijaya K. Panigrahi, Richard Jiang:
3-D Quantum-Inspired Self-Supervised Tensor Network for Volumetric Segmentation of Medical Images. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10312-10325 (2024) - 2023
- [j78]Abhishek Gunjan, Siddhartha Bhattacharyya:
A brief review of portfolio optimization techniques. Artif. Intell. Rev. 56(5): 3847-3886 (2023) - [j77]Alokananda Dey, Siddhartha Bhattacharyya, Sandip Dey, Jan Platos, Václav Snásel:
Automatic clustering of colour images using quantum inspired meta-heuristic algorithms. Appl. Intell. 53(9): 9823-9845 (2023) - [j76]Debanjan Konar, Aditya Das Sarma, Soham Bhandary, Siddhartha Bhattacharyya, Attila Cangi, Vaneet Aggarwal:
A shallow hybrid classical-quantum spiking feedforward neural network for noise-robust image classification. Appl. Soft Comput. 136: 110099 (2023) - [j75]Tulika Dutta, Siddhartha Bhattacharyya, Bijaya Ketan Panigrahi, Ivan Zelinka, Leo Mrsic:
Multi-level quantum inspired metaheuristics for automatic clustering of hyperspectral images. Quantum Mach. Intell. 5(1): 1-35 (2023) - 2022
- [j74]Aldo Averza, Khaled Slhoub, Siddhartha Bhattacharyya:
Evaluating the Influence of Twitter Bots via Agent-Based Social Simulation. IEEE Access 10: 129394-129407 (2022) - [j73]Debanjan Konar, Siddhartha Bhattacharyya, Sandip Dey, Bijaya Ketan Panigrahi:
Optimized activation for quantum-inspired self-supervised neural network based fully automated brain lesion segmentation. Appl. Intell. 52(13): 15643-15672 (2022) - [j72]Arwa AlQadheeb, Siddhartha Bhattacharyya, Samuel Perl:
Enhancing cybersecurity by generating user-specific security policy through the formal modeling of user behavior. Array 14: 100146 (2022) - [j71]Liping Song, Xinyu Liu, Shuqi Chen, Shuai Liu, Xiangbin Liu, Khan Muhammad, Siddhartha Bhattacharyya:
A deep fuzzy model for diagnosis of COVID-19 from CT images. Appl. Soft Comput. 122: 108883 (2022) - [j70]Swarup Kr Ghosh, Anupam Ghosh, Siddhartha Bhattacharyya:
Recognition of cancer mediating biomarkers using rough approximations enabled intuitionistic fuzzy soft sets based similarity measure. Appl. Soft Comput. 124: 109052 (2022) - [j69]Siddhartha Bhattacharyya, Meredith Carroll:
Editorial: Assuring trustworthiness of autonomous systems as intelligent and ethical teammates. Frontiers Robotics AI 9 (2022) - [j68]Zafar Ali, Guilin Qi, Khan Muhammad, Siddhartha Bhattacharyya, Irfan Ullah, Waheed Ahmed Abro:
Citation recommendation employing heterogeneous bibliographic network embedding. Neural Comput. Appl. 34(13): 10229-10242 (2022) - [j67]Praveen Thachappully Adithya, Anubhav Gupta, Siddhartha Bhattacharyya, Raja Muthalagu:
Assuring Behavior of Multirobot Autonomous Systems With Translation From Formal Verification to ROS Simulation. IEEE Syst. J. 16(3): 5092-5100 (2022) - [j66]Debanjan Konar, Siddhartha Bhattacharyya, Bijaya K. Panigrahi, Elizabeth C. Behrman:
Qutrit-Inspired Fully Self-Supervised Shallow Quantum Learning Network for Brain Tumor Segmentation. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6331-6345 (2022) - 2021
- [j65]Debanjan Konar, Bijaya K. Panigrahi, Siddhartha Bhattacharyya, Nilanjan Dey, Richard Jiang:
Auto-Diagnosis of COVID-19 Using Lung CT Images With Semi-Supervised Shallow Learning Network. IEEE Access 9: 28716-28728 (2021) - [j64]Akhilesh Kumar Sharma, Gaurav Aggarwal, Sachit Bhardwaj, Prasun Chakrabarti, Tulika Chakrabarti, Jemal H. Abawajy, Siddhartha Bhattacharyya, Richa Mishra, Anirban Das, Hairulnizam Mahdin:
Classification of Indian Classical Music With Time-Series Matching Deep Learning Approach. IEEE Access 9: 102041-102052 (2021) - [j63]Abidhan Bardhan, Pijush Samui, Kuntal Ghosh, Amir H. Gandomi, Siddhartha Bhattacharyya:
ELM-based adaptive neuro swarm intelligence techniques for predicting the California bearing ratio of soils in soaked conditions. Appl. Soft Comput. 110: 107595 (2021) - [j62]Tulika Dutta, Sandip Dey, Siddhartha Bhattacharyya, Somnath Mukhopadhyay:
Quantum fractional order Darwinian particle swarm optimization for hyperspectral multi-level image thresholding. Appl. Soft Comput. 113(Part): 107976 (2021) - [j61]Minghong Xu, Siddhartha Bhattacharyya:
Taste Transitivity for Collaborative Filtering: A Stochastic Network Dynamics Approach. Decis. Sci. 52(3): 629-660 (2021) - [j60]Tulika Dutta, Sandip Dey, Siddhartha Bhattacharyya, Somnath Mukhopadhyay, Prasun Chakrabarti:
Hyperspectral multi-level image thresholding using qutrit genetic algorithm. Expert Syst. Appl. 181: 115107 (2021) - [j59]Salman Khan, Khan Muhammad, Tanveer Hussain, Javier Del Ser, Fabio Cuzzolin, Siddhartha Bhattacharyya, Zahid Akhtar, Victor Hugo C. de Albuquerque:
DeepSmoke: Deep learning model for smoke detection and segmentation in outdoor environments. Expert Syst. Appl. 182: 115125 (2021) - [j58]Alokananda Dey, Sandip Dey, Siddhartha Bhattacharyya, Jan Platos, Václav Snásel:
Quantum inspired meta-heuristic approaches for automatic clustering of colour images. Int. J. Intell. Syst. 36(9): 4852-4901 (2021) - [j57]Milton Stafford, Siddhartha Bhattacharyya, Matthew Clark, Natasha A. Neogi, Thomas C. Eskridge:
Assurance for Integrating Advanced Algorithms in Autonomous Safety-Critical Systems. IEEE Syst. J. 15(4): 4852-4863 (2021) - [j56]Natasha A. Neogi, Siddhartha Bhattacharyya, Daniel Griessler, Harshitha Kiran, Marco M. Carvalho:
Assuring Intelligent Systems: Contingency Management for UAS. IEEE Trans. Intell. Transp. Syst. 22(9): 6028-6038 (2021) - 2020
- [j55]Tulika Dutta, Siddhartha Bhattacharyya, Sandip Dey, Jan Platos:
Border Collie Optimization. IEEE Access 8: 109177-109197 (2020) - [j54]Biswajit Biswas, Swarup Kr Ghosh, Siddhartha Bhattacharyya, Jan Platos, Václav Snásel, Amlan Chakrabarti:
Chest X-ray enhancement to interpret pneumonia malformation based on fuzzy soft set and Dempster-Shafer theory of evidence. Appl. Soft Comput. 86 (2020) - [j53]Swalpa Kumar Roy, Dipak Kumar Ghosh, Shiv Ram Dubey, Siddhartha Bhattacharyya, Bidyut B. Chaudhuri:
Unconstrained texture classification using efficient jet texton learning. Appl. Soft Comput. 86 (2020) - [j52]Alokananda Dey, Sandip Dey, Siddhartha Bhattacharyya, Jan Platos, Václav Snásel:
Novel quantum inspired approaches for automatic clustering of gray level images using Particle Swarm Optimization, Spider Monkey Optimization and Ageist Spider Monkey Optimization algorithms. Appl. Soft Comput. 88: 106040 (2020) - [j51]Debanjan Konar, Siddhartha Bhattacharyya, Tapan Kumar Gandhi, Bijaya Ketan Panigrahi:
A Quantum-Inspired Self-Supervised Network model for automatic segmentation of brain MR images. Appl. Soft Comput. 93: 106348 (2020) - [j50]Biswajit Biswas, Siddhartha Bhattacharyya, Amlan Chakrabarti, Kashi Nath Dey, Jan Platos, Václav Snásel:
Colonoscopy contrast-enhanced by intuitionistic fuzzy soft sets for polyp cancer localization. Appl. Soft Comput. 95: 106492 (2020) - [j49]Ahmed M. Anter, Siddhartha Bhattacharyya, Zhiguo Zhang:
Multi-stage fuzzy swarm intelligence for automatic hepatic lesion segmentation from CT scans. Appl. Soft Comput. 96: 106677 (2020) - [j48]Koyel Chakraborty, Surbhi Bhatia, Siddhartha Bhattacharyya, Jan Platos, Rajib Bag, Aboul Ella Hassanien:
Sentiment Analysis of COVID-19 tweets by Deep Learning Classifiers - A study to show how popularity is affecting accuracy in social media. Appl. Soft Comput. 97(Part): 106754 (2020) - [j47]Koyel Chakraborty, Siddhartha Bhattacharyya, Rajib Bag:
A Survey of Sentiment Analysis from Social Media Data. IEEE Trans. Comput. Soc. Syst. 7(2): 450-464 (2020) - [j46]Swalpa Kumar Roy, Subhrasankar Chatterjee, Siddhartha Bhattacharyya, Bidyut B. Chaudhuri, Jan Platos:
Lightweight Spectral-Spatial Squeeze-and- Excitation Residual Bag-of-Features Learning for Hyperspectral Classification. IEEE Trans. Geosci. Remote. Sens. 58(8): 5277-5290 (2020) - 2019
- [j45]Hrishikesh Bhaumik, Siddhartha Bhattacharyya, Susanta Chakraborty:
A vague set approach for identifying shot transition in videos using multiple feature amalgamation. Appl. Soft Comput. 75: 633-651 (2019) - [j44]Debajyoty Banik, Asif Ekbal, Pushpak Bhattacharyya, Siddhartha Bhattacharyya:
Assembling translations from multi-engine machine translation outputs. Appl. Soft Comput. 78: 230-239 (2019) - [j43]Mohamed E. Abd Elaziz, Siddhartha Bhattacharyya, Songfeng Lu:
Swarm selection method for multilevel thresholding image segmentation. Expert Syst. Appl. 138 (2019) - [j42]Biswajit Biswas, Siddhartha Bhattacharyya, Jan Platos, Václav Snásel:
Enhancement of dronogram aid to visual interpretation of target objects via intuitionistic fuzzy hesitant sets. Inf. Sci. 500: 67-86 (2019) - 2018
- [j41]Asit Kumar Das, Shampa Sengupta, Siddhartha Bhattacharyya:
A group incremental feature selection for classification using rough set theory based genetic algorithm. Appl. Soft Comput. 65: 400-411 (2018) - [j40]Rizk Masoud Rizk-Allah, Aboul Ella Hassanien, Siddhartha Bhattacharyya:
Chaotic crow search algorithm for fractional optimization problems. Appl. Soft Comput. 71: 1161-1175 (2018) - [j39]Biswanath Chakraborty, Siddhartha Bhattacharyya, Susanta Chakraborty:
Generative Model Based Video Shot Boundary Detection for Automated Surveillance. Int. J. Ambient Comput. Intell. 9(4): 69-95 (2018) - 2017
- [j38]Debanjan Konar, Siddhartha Bhattacharyya, Kalpana Sharma, Sital Sharma, Sri Raj Pradhan:
An improved Hybrid Quantum-Inspired Genetic Algorithm (HQIGA) for scheduling of real-time task in multiprocessor system. Appl. Soft Comput. 53: 296-307 (2017) - [j37]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) - [j36]Seikh Mazharul Islam, Minakshi Banerjee, Siddhartha Bhattacharyya, Susanta Chakraborty:
Content-based image retrieval based on multiple extended fuzzy-rough framework. Appl. Soft Comput. 57: 102-117 (2017) - 2016
- [j35]Siddhartha Bhattacharyya, Paramartha Dutta, Ujjwal Maulik:
Preface. Appl. Soft Comput. 46: 523-526 (2016) - [j34]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) - [j33]Debanjan Konar, Siddhartha Bhattacharyya, Bijaya Ketan Panigrahi, Kazumi Nakamatsu:
A quantum bi-directional self-organizing neural network (QBDSONN) architecture for binary object extraction from a noisy perspective. Appl. Soft Comput. 46: 731-752 (2016) - [j32]Hrishikesh Bhaumik, Siddhartha Bhattacharyya, Mausumi Das Nath, Susanta Chakraborty:
Hybrid soft computing approaches to content based video retrieval: A brief review. Appl. Soft Comput. 46: 1008-1029 (2016) - [j31]Sourav De, Siddhartha Bhattacharyya, Paramartha Dutta:
Automatic magnetic resonance image segmentation by fuzzy intercluster hostility index based genetic algorithm: An application. Appl. Soft Comput. 47: 669-683 (2016) - [j30]Kunpeng Zhang, Siddhartha Bhattacharyya, Sudha Ram:
Large-Scale Network Analysis for Online Social Brand Advertising. MIS Q. 40(4): 849-868 (2016) - 2015
- [j29]Siddhartha Bhattacharyya, Siddhartha Bhattacharjee, Naba Kumar Mondal:
A quantum backpropagation multilayer perceptron (QBMLP) for predicting iron adsorption capacity of calcareous soil from aqueous solution. Appl. Soft Comput. 27: 299-312 (2015) - 2014
- [j28]Siddhartha Bhattacharyya, Pankaj Pal, Sandip Bhowmick:
Binary image denoising using a quantum multilayer self organizing neural network. Appl. Soft Comput. 24: 717-729 (2014) - [j27]Sandip Dey, Indrajit Saha, Siddhartha Bhattacharyya, Ujjwal Maulik:
Multi-level thresholding using quantum inspired meta-heuristics. Knowl. Based Syst. 67: 373-400 (2014) - [j26]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) - 2013
- [j25]Siddhartha Bhattacharyya:
Confidence in predictions from random tree ensembles. Knowl. Inf. Syst. 35(2): 391-410 (2013) - 2012
- [j24]Sourav De, Siddhartha Bhattacharyya, Susanta Chakraborty:
Color image segmentation using parallel OptiMUSIG activation function. Appl. Soft Comput. 12(10): 3228-3236 (2012) - [j23]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) - 2011
- [j22]Siddhartha Bhattacharyya, Ujjwal Maulik, Paramartha Dutta:
Multilevel image segmentation with adaptive image context based thresholding. Appl. Soft Comput. 11(1): 946-962 (2011) - [j21]Siddhartha Bhattacharyya, Sanjeev Jha, Kurian K. Tharakunnel, J. Christopher Westland:
Data mining for credit card fraud: A comparative study. Decis. Support Syst. 50(3): 602-613 (2011) - [j20]Sourav De, Siddhartha Bhattacharyya, Paramartha Dutta:
Efficient grey-level image segmentation using an optimised MUSIG (OptiMUSIG) activation function. Int. J. Parallel Emergent Distributed Syst. 26(1): 1-39 (2011) - 2010
- [j19]Yifeng Zhang, Siddhartha Bhattacharyya:
Information Sharing Strategies in Business-to-Business E-Hubs: An Agent-Based Study. Int. J. Intell. Inf. Technol. 6(2): 1-20 (2010) - [j18]Yifeng Zhang, Siddhartha Bhattacharyya, Xiaoming Li:
From Choice of Procurement Strategy to Supply Network Configuration: an Evolutionary Approach. Int. J. Inf. Technol. Decis. Mak. 9(1): 145-173 (2010) - [j17]Yifeng Zhang, Siddhartha Bhattacharyya:
Analysis of B2B e-marketplaces: an operations perspective. Inf. Syst. E Bus. Manag. 8(3): 235-256 (2010) - [j16]Siddhartha Bhattacharyya, Stellan Ohlsson:
Social creativity as a function of agent cognition and network properties: A computer model. Soc. Networks 32(4): 263-278 (2010) - 2009
- [j15]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) - 2008
- [j14]Doug Lundquist, Siddhartha Bhattacharyya:
Finding seller quality and quality sellers in online markets: an agent-based analysis. Int. J. Electron. Bus. 6(1): 47-66 (2008) - 2007
- [j13]Yifeng Zhang, Siddhartha Bhattacharyya:
Effectiveness of Q-learning as a tool for calibrating agent-based supply network models. Enterp. Inf. Syst. 1(2): 217-233 (2007) - [j12]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) - 2006
- [j11]Kumar Mehta, Siddhartha Bhattacharyya:
Design, development and validation of an agent-based model of electronic auctions. Inf. Technol. Manag. 7(3): 191-212 (2006) - 2004
- [j10]Kumar Mehta, Siddhartha Bhattacharyya:
Adequacy of training data for evolutionary mining of trading rules. Decis. Support Syst. 37(4): 461-474 (2004) - [j9]Yifeng Zhang, Siddhartha Bhattacharyya:
Genetic programming in classifying large-scale data: an ensemble method. Inf. Sci. 163(1-3): 85-101 (2004) - 2003
- [j8]Siddhartha Bhattacharyya, Gary J. Koehler:
Special issue introduction. Decis. Support Syst. 35(2): 193-194 (2003) - [j7]Siddhartha Bhattacharyya, Marvin D. Troutt:
Genetic search over probability spaces. Eur. J. Oper. Res. 144(2): 333-347 (2003) - 2002
- [j6]Siddhartha Bhattacharyya, Olivier V. Pictet, Gilles Zumbach:
Knowledge-intensive genetic discovery in foreign exchange markets . IEEE Trans. Evol. Comput. 6(2): 169-181 (2002) - 2000
- [j5]Ujjwal Maulik, Sanghamitra Bandyopadhyay, Siddhartha Bhattacharyya:
Fault tolerant permutation mapping in multistage interconnection network. J. Syst. Archit. 46(3): 297-300 (2000) - 1999
- [j4]Siddhartha Bhattacharyya:
Direct Marketing Performance Modeling Using Genetic Algorithms. INFORMS J. Comput. 11(3): 248-257 (1999) - 1998
- [j3]Haldun Aytug, Siddhartha Bhattacharyya, Gary J. Koehler:
Genetic learning through simulation: An investigation in shop floor scheduling. Ann. Oper. Res. 78: 1-29 (1998) - 1997
- [j2]Gary J. Koehler, Michael D. Vose, Siddhartha Bhattacharyya:
General Cardinality Genetic Algorithms. Evol. Comput. 5(4): 439-459 (1997) - 1994
- [j1]Siddhartha Bhattacharyya, Gary J. Koehler:
An Analysis of Non-Binary Genetic Algorithms with Cardinality 2υ. Complex Syst. 8(4) (1994)
Conference and Workshop Papers
- 2024
- [c54]William Stern, Seng Jhing Goh, Nasheen Nur, Patrick J. Aragon, Thomas Mercer, Siddhartha Bhattacharyya, Chiradeep Sen, Van Minh Nguyen:
Natural Language Explanations for Suicide Risk Classification Using Large Language Models. ML4CMH@AAAI 2024: 74-83 - [c53]Mohammed Abdul Hafeez Khan, Parth Ganeriwala, Siddhartha Bhattacharyya, Natasha A. Neogi, Raja Muthalagu:
ALINA: Advanced Line Identification and Notation Algorithm. CVPR Workshops 2024: 7293-7302 - [c52]Tulika Dutta, Siddhartha Bhattacharyya, Bijaya Ketan Panigrahi, Jan Platos, Václav Snásel:
Automatic Hyperspectral Image Clustering Using Qutrit Differential Evolution. ICSI 2024: 280-294 - 2023
- [c51]Tulika Dutta, Siddhartha Bhattacharyya, Bijaya Ketan Panigrahi:
Multilevel Quantum Evolutionary Butterfly Optimization Algorithm for Automatic Clustering of Hyperspectral Images. AICV 2023: 524-534 - [c50]Parth Ganeriwala, Siddhartha Bhattacharyya, Sean Gunther, Brian Kish, Mohammed Abdul Hafeez Khan, Ankur Dhadoti, Natasha A. Neogi:
AssistTaxi: A Comprehensive Dataset for Taxiway Analysis and Autonomous Operations. ICMLA 2023: 1094-1099 - [c49]Van Minh Nguyen, Nasheen Nur, William Stern, Thomas Mercer, Chiradeep Sen, Siddhartha Bhattacharyya, Victor Tumbiolo, Seng Jhing Goh:
Conceptualizing Suicidal Behavior: Utilizing Explanations of Predicted Outcomes to Analyze Longitudinal Social Media Data. ICMLA 2023: 2095-2102 - [c48]Parth Ganeriwala, Siddhartha Bhattacharyya, Raja Muthalagu:
Cross Dataset Analysis and Network Architecture Repair for Autonomous Car Lane Detection*. IV 2023: 1-6 - [c47]Nandith Narayan, Parth Ganeriwala, Randolph M. Jones, Michael Matessa, Siddhartha Bhattacharyya, Jennifer A. Davis, Hemant Purohit, Simone Fulvio Rollini:
Assuring Learning-Enabled Increasingly Autonomous Systems*. SysCon 2023: 1-7 - [c46]Candice Normalee Chambers, Parth Ganeriwala, Siddhartha Bhattacharyya, Chiradeep Sen, Nasheen Nur:
Towards Knowledge Extraction and Parsing of XML Metadata for SysML System Architecture Modeling. UEMCON 2023: 564-570 - 2022
- [c45]Fahad Alsuliman, Siddhartha Bhattacharyya, Khaled Slhoub, Nasheen Nur, Candice Normalee Chambers:
Social Media vs. News Platforms: A Cross-analysis for Fake News Detection Using Web Scraping and NLP. PETRA 2022: 190-196 - 2021
- [c44]Tengteng Ma, Yuheng Hu, Yingda Lu, Siddhartha Bhattacharyya:
Graph Neural Network for Customer Engagement Prediction on Social Media Platforms. HICSS 2021: 1-9 - [c43]Jasser Alharbi, Siddhartha Bhattacharyya:
Machine Learning with System/Software Engineering in Selection and Integration of Intelligent Algorithms. SysCon 2021: 1-7 - [c42]Siddhartha Bhattacharyya, Jennifer A. Davis, Anubhav Gupta, Nandith Narayan, Michael Matessa:
Assuring Increasingly Autonomous Systems in Human-Machine Teams: An Urban Air Mobility Case Study. FMAS 2021: 150-166 - 2020
- [c41]Pankhuri Malhotra, Siddhartha Bhattacharyya, Keran Zhao:
Information Networks to Derive Value from Social Media. AMCIS 2020 - [c40]Siddhartha Bhattacharyya, Tulika Dutta, Sandip Dey:
Multilevel Quantum Inspired Fractional Order Ant Colony Optimization for Automatic Clustering of Hyperspectral Images. CEC 2020: 1-8 - [c39]Milton Stafford, Siddhartha Bhattacharyya, Matthew Clark, Natasha A. Neogi:
Formal Compositional Reasoning of Autonomous Aerial Systems with Complex Algorithms. SysCon 2020: 1-7 - 2019
- [c38]Rik Das, Sourav De, Siddhartha Bhattacharyya, Jan Platos, Václav Snásel, Aboul Ella Hassanien:
Data Augmentation and Feature Fusion for Melanoma Detection with Content Based Image Classification. AMLTA 2019: 712-721 - [c37]Ashish Mani, Nija Mani, Siddhartha Bhattacharyya:
Towards a Framework for Performance Testing of Metaheuristics. DoSIER 2019: 13-19 - [c36]Tulika Dutta, Sandip Dey, Siddhartha Bhattacharyya:
Automatic Clustering of Hyperspectral Images Using Qutrit Based Particle Swarm Optimization. DoSIER 2019: 21-31 - [c35]Ranjan Jana, Siddhartha Bhattacharyya, Swagatam Das:
Patient-Specific Seizure Prediction Using the Convolutional Neural Networks. DoSIER 2019: 51-60 - [c34]Debanjan Konar, Siddhartha Bhattacharyya, Bijaya Ketan Panigrahi:
QIBDS Net: A Quantum-Inspired Bi-Directional Self-supervised Neural Network Architecture for Automatic Brain MR Image Segmentation. PReMI (2) 2019: 87-95 - [c33]Ranjan Jana, Siddhartha Bhattacharyya, Swagatam Das:
Epileptic Seizure Prediction from EEG Signals Using DenseNet. SSCI 2019: 604-609 - [c32]Debanjan Konar, Siddhartha Bhattacharyya, Sandip Dey, Bijaya Ketan Panigrahi:
Opti-QIBDS Net: A Quantum-Inspired Optimized Bi-Directional Self-supervised Neural Network Architecture for Automatic Brain MR Image Segmentation. TENCON 2019: 761-766 - [c31]Siddhartha Bhattacharyya, Sandip Dey, Debanjan Konar:
A Novel Qutrit Based Quantum Ant Colony Optimization for Multi-level Thresholding. TENCON 2019: 1375-1380 - [c30]Milankumar Patel, Siddhartha Bhattacharyya, Ali Alfageeh:
Formal Trust Architecture for Assuring Trusted Interactions in the Internet of Things. UEMCON 2019: 33-39 - [c29]Ali Alfageeh, Siddhartha Bhattacharyya, Samuel Perl, Milankumar Patel:
Assurance for CyberSecurity with Assume-Guarantee Reasoning. UEMCON 2019: 653-659 - 2018
- [c28]Pankhuri Malhotra, Siddhartha Bhattacharyya:
Large Scale Online Brand Networks to Study Brand Effects. AAAI Workshops 2018: 85-92 - [c27]Minghong Xu, Siddhartha Bhattacharyya:
Inferring Brand Knowledge from Online Consumer Associative Brand Networks. AAAI Workshops 2018: 113-121 - [c26]Khaled Ahmed, Aboul Ella Hassanien, Ehab Ezzat, Siddhartha Bhattacharyya:
Swarming Behaviors of Chicken for Predicting Posts on Facebook Branding Pages. AMLTA 2018: 52-61 - [c25]Alokananda Dey, Sandip Dey, Siddhartha Bhattacharyya, Václav Snásel, Aboul Ella Hassanien:
Simulated Annealing Based Quantum Inspired Automatic Clustering Technique. AMLTA 2018: 73-81 - [c24]Koyel Chakraborty, Siddhartha Bhattacharyya, Rajib Bag, Aboul Ella Hassanien:
Comparative Sentiment Analysis on a Set of Movie Reviews Using Deep Learning Approach. AMLTA 2018: 311-318 - [c23]Siddhartha Bhattacharyya, Václav Snásel, Alokananda Dey, Sandip Dey, Debanjan Konar:
Quantum Spider Monkey Optimization (QSMO) Algorithm for Automatic Gray-Scale Image Clustering. ICACCI 2018: 1869-1874 - [c22]Siddhartha Bhattacharyya, Thomas C. Eskridge, Natasha A. Neogi, Marco M. Carvalho, Milton Stafford:
Formal Assurance for Cooperative Intelligent Autonomous Agents. NFM 2018: 20-36 - 2017
- [c21]Jongouk Choi, Chi Shen, Jens Hannemann, Siddhartha Bhattacharyya:
Real-time server overloaded monitoring algorithm using back propagation artificial neural network. CCWC 2017: 1-7 - 2016
- [c20]Debanjan Konar, Udit Kr. Chakraborty, Siddhartha Bhattacharyya, Tapan Kumar Gandhi, Bijaya Ketan Panigrahi:
A quantum parallel bi-directional self-organizing neural network (QPBDSONN) architecture for extraction of pure color objects from noisy background. ICACCI 2016: 1912-1918 - 2015
- [c19]Debanjan Konar, Siddhartha Bhattacharyya, Nibaran Das, Bijaya Ketan Panigrahi:
A Quantum Bi-Directional Self-Organizing Neural Network (QBDSONN) for binary image denoising. ICACCI 2015: 1225-1230 - [c18]Hrishikesh Bhaumik, Siddhartha Bhattacharyya, Manideepa Chakraborty, Susanta Chakraborty:
Dissolve detection in videos using an ensemble approach. ICACCI 2015: 1461-1467 - 2014
- [c17]Kunpeng Zhang, Siddhartha Bhattacharyya, Sudha Ram:
Empirical analysis of implicit brand networks on social media. HT 2014: 190-199 - [c16]Hrishikesh Bhaumik, Siddhartha Bhattacharyya, Surajit Dutta, Susanta Chakraborty:
Towards redundancy reduction in storyboard representation for static video summarization. ICACCI 2014: 344-350 - 2013
- [c15]Iván Alfaro, Siddhartha Bhattacharyya, Mary Beth Watson-Manheim:
Organizational Adoption Of Social Media In The Usa: A Mixed Method Approach. ECIS 2013: 201 - [c14]Sandip Dey, Indrajit Saha, Ujjwal Maulik, Siddhartha Bhattacharyya:
New quantum inspired meta-heuristic methods for multi-level thresholding. ICACCI 2013: 1236-1240 - 2012
- [c13]Iván Alfaro, Siddhartha Bhattacharyya, John Highlander, Surakshith Mayur Sampath, Mary Beth Watson-Manheim:
Opening the Social Media Black Box - a Feature-Based Approach. ECIS 2012: 119 - 2011
- [c12]Siddhartha Bhattacharyya:
Confidence in Predictions from Random Tree Ensembles. ICDM 2011: 71-80 - [c11]Siddhartha Bhattacharyya, Stellan Ohlsson:
How Network Structure Affects Social Creativity. SocialCom/PASSAT 2011: 666-671 - 2008
- [c10]Kurian K. Tharakunnel, Siddhartha Bhattacharyya:
A Leader-Follower Computational Learning Approach to the Study of Restructured Electricity Markets: Investigating Price Caps. HICSS 2008: 176 - 2005
- [c9]Sekhar Tangirala, Ratnesh Kumar, Siddhartha Bhattacharyya, M. O'Connor, Lawrence E. Holloway:
Hybrid-model based hierarchical mission control architecture for autonomous underwater vehicles. ACC 2005: 668-673vol.1 - 2004
- [c8]Siddhartha Bhattacharyya, Zhongdong Huang, Vigs Chandra, Ratnesh Kumar:
A discrete event systems approach to network fault management: detection & diagnosis of faults. ACC 2004: 5108-5113 - [c7]Zhongdong Huang, Siddhartha Bhattacharyya, Vigs Chandra, Shengbing Jiang, Ratnesh Kumar:
Diagnosis of discrete event systems in rules-based model using first-order linear temporal logic. ACC 2004: 5114-5119 - [c6]Kedar Samant, Siddhartha Bhattacharyya:
Topology, Search, and Fault Tolerance in Unstructured P2P Networks. HICSS 2004 - 2002
- [c5]Roman M. Wong, Siddhartha Bhattacharyya:
Task-Structure Analysis: A Modularized Approach for Modeling Knowledge Intensive Processes. HICSS 2002: 90 - 2000
- [c4]Siddhartha Bhattacharyya, Marvin D. Troutt:
Crossover in Probability Spaces. GECCO 2000: 120-127 - [c3]Siddhartha Bhattacharyya:
Evolutionary algorithms in data mining: multi-objective performance modeling for direct marketing. KDD 2000: 465-473 - 1999
- [c2]Kumar Mehta, Siddhartha Bhattacharyya:
Combining rules learnt using genetic algorithms for financial forecasting. CEC 1999: 1245-1252 - 1998
- [c1]Siddhartha Bhattacharyya:
Direct Marketing Response Models Using Genetic Algorithms. KDD 1998: 144-148
Parts in Books or Collections
- 2010
- [p1]Siddhartha Bhattacharyya:
Predictive Modeling on Multiple Marketing Objectives Using Evolutionary Computation. Marketing Intelligent Systems Using Soft Computing 2010: 155-179
Editorship
- 2023
- [e2]Siddhartha Bhattacharyya, Gautam Das, Sourav De, Leo Mrsic:
Recent Trends in Intelligence Enabled Research - Selected Papers of Fourth Doctoral Symposium, DoSIER 2022, Cooch Behar, India, 22-23 December 2022. Advances in Intelligent Systems and Computing 1446, Springer 2023, ISBN 978-981-99-1471-5 [contents] - 2020
- [e1]Siddhartha Bhattacharyya, Sushmita Mitra, Paramartha Dutta:
Intelligence Enabled Research - DoSIER 2019, First Doctoral Symposium on Intelligence Enabled Research, Kolkata, India, October 19-20, 2019. Advances in Intelligent Systems and Computing 1109, Springer 2020, ISBN 978-981-15-2020-4 [contents]
Reference Works
- 2012
- [r1]Biswanath Chakraborty, Siddhartha Bhattacharyya, Paramartha Dutta:
An Unsupervised Video Shot Boundary Detection Technique Using Fuzzy Entropy Estimation of Video Content. Handbook of Soft Computing for Video Surveillance 2012: 237-253
Informal and Other Publications
- 2024
- [i9]Mohammed Abdul Hafeez Khan, Parth Ganeriwala, Siddhartha Bhattacharyya, Natasha A. Neogi, Raja Muthalagu:
ALINA: Advanced Line Identification and Notation Algorithm. CoRR abs/2406.08775 (2024) - [i8]Parth Ganeriwala, Siddhartha Bhattacharyya, Sean Gunther, Brian Kish, Mohammed Abdul Hafeez Khan, Ankur Dhadoti, Natasha A. Neogi:
AssistTaxi: A Comprehensive Dataset for Taxiway Analysis and Autonomous Operations. CoRR abs/2409.06856 (2024) - [i7]Parth Ganeriwala, Siddhartha Bhattacharyya, Raja Muthalagu:
Cross Dataset Analysis and Network Architecture Repair for Autonomous Car Lane Detection. CoRR abs/2409.17158 (2024) - 2023
- [i6]Anshumaan Chauhan, Siddhartha Bhattacharyya, S. Vadivel:
DQNAS: Neural Architecture Search using Reinforcement Learning. CoRR abs/2301.06687 (2023) - [i5]Van Minh Nguyen, Nasheen Nur, William Stern, Thomas Mercer, Chiradeep Sen, Siddhartha Bhattacharyya, Victor Tumbiolo, Seng Jhing Goh:
Conceptualizing Suicidal Behavior: Utilizing Explanations of Predicted Outcomes to Analyze Longitudinal Social Media Data. CoRR abs/2312.08299 (2023) - 2020
- [i4]Pranav Kairon, Siddhartha Bhattacharyya:
Comparative study of variational quantum circuit and quantum backpropagation multilayer perceptron for COVID-19 outbreak predictions. CoRR abs/2008.07617 (2020) - [i3]Debanjan Konar, Siddhartha Bhattacharyya, Bijaya K. Panigrahi, Elizabeth Behrman:
Qutrit-inspired Fully Self-supervised Shallow Quantum Learning Network for Brain Tumor Segmentation. CoRR abs/2009.06767 (2020) - 2012
- [i2]Koushik Mondal, Paramartha Dutta, Siddhartha Bhattacharyya:
Feature Based Fuzzy Rule Base Design for Image Extraction. CoRR abs/1206.3633 (2012) - [i1]Koushik Mondal, Paramartha Dutta, Siddhartha Bhattacharyya:
Gray Image extraction using Fuzzy Logic. CoRR abs/1206.4391 (2012)
Coauthor Index
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