| Particle Swarm Optimization: A survey of historical and recent developments with hybridization perspectives S Sengupta, S Basak, RA Peters Machine Learning and Knowledge Extraction 1 (1), 157-191, 2018 | 514 | 2018 |
| A review of deep learning with special emphasis on architectures, applications and recent trends S Sengupta, S Basak, P Saikia, S Paul, V Tsalavoutis, F Atiah, V Ravi, ... Knowledge-Based Systems 194, 105596, 2020 | 357 | 2020 |
| Mechanisms for integrated feature normalization and remaining useful life estimation using lstms applied to hard-disks S Basak, S Sengupta, A Dubey 2019 IEEE international conference on smart computing (SMARTCOMP), 208-216, 2019 | 41 | 2019 |
| Data clustering using a hybrid of fuzzy c-means and quantum-behaved particle swarm optimization S Sengupta, S Basak, RA Peters 2018 IEEE 8th Annual Computing and Communication Workshop and Conference …, 2018 | 36 | 2018 |
| Supervised learning models for the preliminary detection of COVID-19 in patients using demographic and epidemiological parameters A Pradhan, S Prabhu, K Chadaga, S Sengupta, G Nath Information 13 (7), 330, 2022 | 26 | 2022 |
| Efficient design of high pass FIR filter using quantum-behaved particle swarm optimization with weighted mean best position S Dhabal, S Sengupta Proceedings of the 2015 Third International Conference on Computer …, 2015 | 26 | 2015 |
| Benchmarking studies aimed at clustering and classification tasks using K-means, fuzzy C-means and evolutionary neural networks A Pickens, S Sengupta Machine Learning and Knowledge Extraction 3 (3), 695-719, 2021 | 17 | 2021 |
| Predicting cervical cancer biopsy results using demographic and epidemiological parameters: A custom stacked ensemble machine learning approach K Chadaga, S Prabhu, N Sampathila, R Chadaga, S KS, S Sengupta Cogent Engineering 9 (1), 2143040, 2022 | 14 | 2022 |
| Remaining useful life estimation of hard disk drives using bidirectional lstm networks A Coursey, G Nath, S Prabhu, S Sengupta 2021 IEEE International Conference on Big Data (Big Data), 4832-4841, 2021 | 13 | 2021 |
| Data-driven optimization of public transit schedule S Basak, F Sun, S Sengupta, A Dubey Big Data Analytics: 7th International Conference, BDA 2019, Ahmedabad, India …, 2019 | 10 | 2019 |
| Spatio-temporal AI inference engine for estimating hard disk reliability S Basak, S Sengupta, SJ Wen, A Dubey Pervasive and Mobile Computing 70, 101283, 2020 | 9 | 2020 |
| Computationally efficient low-pass FIR filter design using Cuckoo Search with adaptive Levy step size S Sengupta, S Basak 2016 International Conference on Global Trends in Signal Processing …, 2016 | 9 | 2016 |
| Qdds: A novel quantum swarm algorithm inspired by a double dirac delta potential S Sengupta, S Basak, RA Peters 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 704-711, 2018 | 8 | 2018 |
| 2d-3d facial image analysis for identification of facial features using machine learning algorithms with hyper-parameter optimization for forensics applications G Sanil, K Prakash, S Prabhu, V Nayak, S Sengupta IEEE Access, 2023 | 7 | 2023 |
| Chaotic quantum double delta swarm algorithm using chebyshev maps: Theoretical foundations, performance analyses and convergence issues S Sengupta, S Basak, RA Peters Journal of Sensor and Actuator Networks 8 (1), 9, 2019 | 6 | 2019 |
| A data-driven prognostic architecture for online monitoring of hard disks using deep LSTM networks S Basak, S Sengupta, A Dubey Retrieved from Internet:(Year: 2018), 2018 | 6 | 2018 |
| Use of machine learning for early detection of knee osteoarthritis and quantifying effectiveness of treatment using force platform AJ Prabhakar, S Prabhu, A Agrawal, S Banerjee, AM Joshua, YD Kamat, ... Journal of Sensor and Actuator Networks 11 (3), 48, 2022 | 5 | 2022 |
| A Review of Deep Learning with Special Emphasis on Architectures S Sengupta, S Basak, P Saikia, S Paul, V Tsalavoutis, FD Atiah, V Ravi, ... Appl. Recent Trends Prepr 2019020233, 2019 | 5 | 2019 |
| An interactive web-based tool for predicting and exploring brain cancer survivability G Nath, A Coursey, Y Li, S Prabhu, H Garg, SC Halder, S Sengupta Healthcare Analytics 3, 100132, 2023 | 4 | 2023 |
| Incorporating a machine learning model into a Web-based administrative decision support tool for predicting workplace absenteeism G Nath, Y Wang, A Coursey, KK Saha, S Prabhu, S Sengupta Information 13 (7), 320, 2022 | 4 | 2022 |
Sanchita BasakVanderbilt UniversityVerified email at vanderbilt.edu
