A direct O (N log2 N) finite difference method for fractional diffusion equations H Wang, K Wang, T Sircar Journal of Computational Physics 229 (21), 8095-8104, 2010 | 364 | 2010 |
A fast finite difference method for two-dimensional space-fractional diffusion equations H Wang, TS Basu SIAM Journal on Scientific Computing 34 (5), A2444-A2458, 2012 | 232 | 2012 |
Artificial intelligence: How is it changing medical sciences and its future? K Basu, R Sinha, A Ong, T Basu Indian journal of dermatology 65 (5), 365-370, 2020 | 166 | 2020 |
A fast second-order finite difference method for space-fractional diffusion equations TS Basu, H Wang Int. J. Numer. Anal. Model 9, 658-666, 2012 | 46 | 2012 |
Predictive models of student college commitment decisions using machine learning K Basu, T Basu, R Buckmire, N Lal Data 4 (2), 65, 2019 | 35 | 2019 |
The ethics of machine learning in medical sciences: Where do we stand today? T Basu, S Engel-Wolf, O Menzer Indian Journal of Dermatology 65 (5), 358-364, 2020 | 28 | 2020 |
A Novel Implementation of Siamese Type Neural Networks in Predicting Rare Fluctuations in Financial Time Series T Basu, O Menzer, J Ward, I SenGupta Risks 10 (2), 39, 2022 | 5 | 2022 |
A cross-disciplinary software engineering project implemented as a web service P Brazier, MC Villalobos, MB Taylor, K Basu, T Sircar Proceedings of the International Conference on Engineering Education 2006 …, 2006 | 3 | 2006 |
An Application of Machine Learning to College Admissions: The Summer Melt Problem T Basu, R Buckmire, O Tweneboah Journal of Machine Learning for Modeling and Computing 3 (4), 2022 | 2 | 2022 |
A Fast O(N log N) Finite Difference Method for the One-Dimensional Space-Fractional Diffusion Equation T Basu Mathematics 3 (4), 1032-1044, 2015 | 2 | 2015 |
A Novel Implementation of Siamese Type Neural Networks in Predicting Rare Fluctuations in Financial Time Series. Risks 10: 39 T Basu, O Menzer, J Ward, I SenGupta s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022 | | 2022 |
Using Approximations of Unity in the Construction of Positivity-Preserving NSFD Schemes R Buckmire, T Basu 2021 Joint Mathematics Meetings (JMM), 2021 | | 2021 |
Using Approximations of Unity in the Construction of Positivity-Preserving NSFD Schemes T Basu, R Buckmire International Journal of Difference Equations 15 (1), 77-89, 2020 | | 2020 |
On Analytical, Computational and Historical Developments of Statistics and Its Applications L Debnath, TS Basu International Journal of Applied and Computational Mathematics 3, 119-156, 2017 | | 2017 |
NSFD Unity Approximations] Using Unity Approximations to Construct Nonstandard Finite Difference Schemes for Bernoulli Differential Equations T Basu, R Buckmire 2024 Joint Mathematics Meetings (JMM 2024), 0 | | |
An Unusual Application of Machine Learning: The Educational Data Mining Context T Basu, R Buckmire, OK Tweneboah 2024 Joint Mathematics Meetings (JMM 2024), 0 | | |
Will They or Won’t They?: Predictive Models of Student College Commitment Decisions Using Machine Learning T Basu, K Basu, R Buckmire, N Lal 2020 Fall Central Sectional Meeting, 0 | | |
A Fast O (N logN) Second-Order Numerical Method For Space-Fractional Diffusion Equations T Basu, G Capra | | |