An all-pair quantum SVM approach for big data multiclass classification AK Bishwas, A Mani, V Palade Quantum information processing 17, 1-16, 2018 | 40 | 2018 |
Big data classification with quantum multiclass SVM and quantum one-against-all approach AK Bishwas, A Mani, V Palade 2016 2nd International Conference on Contemporary Computing and Informatics …, 2016 | 25 | 2016 |
An investigation on support vector clustering for big data in quantum paradigm AK Bishwas, A Mani, V Palade Quantum Information Processing 19 (4), 108, 2020 | 14 | 2020 |
Gaussian kernel in quantum learning AK Bishwas, A Mani, V Palade International Journal of Quantum Information 18 (03), 2050006, 2020 | 10 | 2020 |
Quantum Supervised Clustering Algorithm for Big Data AK Bishwas, A Mani, V Palade 2018 3rd International Conference for Convergence in Technology (I2CT), 1-5, 2018 | 4 | 2018 |
Big data quantum support vector clustering AK Bishwas, A Mani, V Palade arXiv preprint arXiv:1804.10905, 2018 | 4 | 2018 |
Quantum algorithm for sequence clustering AK Bishwas, M Ashsih, V Palade Hybrid Intelligent Techniques for Pattern Analysis and Understanding, 2017 | 3 | 2017 |
An all-pair approach for big data multiclass classification with quantum SVM AK Bishwas, A Mani, V Palade CoRR abs/1704.07664, 2017 | 3 | 2017 |
Molecular unfolding formulation with enhanced quantum annealing approach AK Bishwas, A Pitchai, A Som arXiv preprint arXiv:2403.00507, 2024 | 1 | 2024 |
Managing cyber security with quantum techniques AK Bishwas, J Advani 2021 International Conference on Electrical, Computer and Energy …, 2021 | 1 | 2021 |
Parts of speech tagging in NLP: runtime optimization with quantum formulation and ZX calculus AK Bishwas, A Mani, V Palade arXiv preprint arXiv:2007.10328, 2020 | 1 | 2020 |
4. from classical to Quantum Machine Learning AK Bishwas, A Mani, V Palade Quantum Machine Learning 6, 67, 2020 | 1 | 2020 |
An Investigation of Quantum Deep Clustering Framework with Quantum Deep SVM & Convolutional Neural Network Feature Extractor AK Bishwas, A Mani, V Palade arXiv preprint arXiv:1909.09852, 2019 | 1 | 2019 |
Comprehensive Study on Performance Evaluation and Optimization of Model Compression: Bridging Traditional Deep Learning and Large Language Models A Saxena, AK Bishwas, AA Mishra, R Armstrong arXiv preprint arXiv:2407.15904, 2024 | | 2024 |
Investigation into the Potential of Parallel Quantum Annealing for Simultaneous Optimization of Multiple Problems: A Comprehensive Study AK Bishwas, A Som, S Choudhary arXiv preprint arXiv:2403.05764, 2024 | | 2024 |
Comparative analysis of diverse methodologies for portfolio optimization leveraging quantum annealing techniques Z Tang, AL Dou, AK Bishwas arXiv preprint arXiv:2403.02599, 2024 | | 2024 |
Parts of Speech Tagging in NLP-an Investigation on Runtime Optimization with Quantum Formulation and ZX Calculus AK Bishwas, A Mani, V Palade 2022 International Conference for Advancement in Technology (ICONAT), 1-5, 2022 | | 2022 |
A Leap from Randomized to Quantum Clustering with Support Vector Machine-A Computation Complexity Analysis AK Bishwas, A Mani, V Palade 2020 International Conference for Emerging Technology (INCET), 1-4, 2020 | | 2020 |
Gaussian Kernel in Quantum Paradigm. AK Bishwas, A Mani, V Palade CoRR, 2017 | | 2017 |
Team – A Project Asset Cluster - Know It and Get Known to It! AK Bishwas 15th Annual International Software Testing Conference (STC) 2015, 2015 | | 2015 |