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Pradeepta Mishra
Institution:
REVA University
Observed institution:
REVA University
ORCID:
0009-0005-3889-6230
Observed ORCID:
0009-0005-3889-6230
OpenAlex ID:
A5059197772
Practical Explainable AI Using Python: Artificial Intelligence Model Explanations Using Python-based Libraries, Extensions, and Frameworks
2021
·
Pradeepta Mishra
·
Apress eBooks
·
35
Explainable AI Recipes: Implement Solutions to Model Explainability and Interpretability with Python
2023
·
Pradeepta Mishra
·
Apress eBooks
·
22
PyTorch Recipes: A Problem-Solution Approach
2019
·
Pradeepta Mishra
·
Apress eBooks
·
10
Introduction to PyTorch, Tensors, and Tensor Operations
2019
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Pradeepta Mishra
·
Apress eBooks
·
8
Introduction to Neural Networks Using PyTorch
2019
·
Pradeepta Mishra
·
Apress eBooks
·
8
Model Explainability for Rule-Based Expert Systems
2021
·
Pradeepta Mishra
·
Apress eBooks
·
7
Introduction to Neural Networks Using PyTorch
2022
·
Pradeepta Mishra
·
Apress eBooks
·
6
PyTorch Recipes: A Problem-Solution Approach to Build, Train and Deploy Neural Network Models
2022
·
Pradeepta Mishra
·
Apress eBooks
·
5
Explainability for NLP
2021
·
Pradeepta Mishra
·
Apress eBooks
·
5
An Improved Method of Phishing URL Detection Using Machine Learning
2024
·
Amy Joyce Sugantham V
, Pradeepta Mishra
, et al.
·
Lecture notes in networks and systems
·
4
Model Explainability and Interpretability
2021
·
Pradeepta Mishra
·
Apress eBooks
·
4
Using MNIST Dataset for De-Pois Attack and Defence
2023
·
Chetan Niloor
, Rashmi Agarwal
, et al.
·
Algorithms for intelligent systems
·
3
PyTorch Model Interpretability and Interface to Sklearn
2022
·
Pradeepta Mishra
·
Apress eBooks
·
3
Counterfactual Explanations for XAI Models
2021
·
Pradeepta Mishra
·
Apress eBooks
·
3
FlexIPAccess: Dynamic Attribute based IP analysis using Machine Learning Approach
2024
·
Rajeev Kumar Singh
, Pradeepta Mishra
, et al.
·
IEEE World Conference on Applied Intelligence and Computing (AIC)
·
2
Explainability for Linear Supervised Models
2023
·
Pradeepta Mishra
·
Apress eBooks
·
2
Explainability for Ensemble Supervised Models
2023
·
Pradeepta Mishra
·
Apress eBooks
·
2
Introduction to PyTorch, Tensors, and Tensor Operations
2022
·
Pradeepta Mishra
·
Apress eBooks
·
2
Explainability for Deep Learning Models
2021
·
Pradeepta Mishra
·
Apress eBooks
·
2
AI Ethics, Biasness, and Reliability
2021
·
Pradeepta Mishra
·
Apress eBooks
·
2
Model-Agnostic Explanations by Identifying Prediction Invariance
2021
·
Pradeepta Mishra
·
Apress eBooks
·
2
CNN and RNN Using PyTorch
2019
·
Pradeepta Mishra
·
Apress eBooks
·
2
Explainability for Natural Language Processing
2023
·
Pradeepta Mishra
·
Apress eBooks
·
1
Introducing Explainability and Setting Up Your Development Environment
2023
·
Pradeepta Mishra
·
Apress eBooks
·
1
Natural Language Processing Using PyTorch
2022
·
Pradeepta Mishra
·
Apress eBooks
·
1
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Works count:
49
Citation count:
147
H-index:
6
I10-index:
3
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