Archana Mathur

According to our database, Archana Mathur authored at least 20 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

AdaGen: Adaptive Generalized Knowledge Transfer Framework for Sensor-Based Surface Classification for Wheelchair Routing.

Vihaan Misra, Shivashankar S. Menon, Snehanshu Saha, Archana Mathur, Haoxiang Yu, Vaskar Raychoudhury

SN Comput. Sci., October, 2024

DeliverAI: Reinforcement Learning Based Distributed Path-Sharing Network for Food Deliveries.

Ashman Mehra, Snehanshu Saha, Vaskar Raychoudhury, Archana Mathur

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Proposal of SVM Utility Kernel for Breast Cancer Survival Estimation.

Nikhilanand Arya, Archana Mathur, Snehanshu Saha, Sriparna Saha

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

ALIS: A novel metric in lineage-independent evaluation of scholars.

Sudeepa Roy Dey, Archana Mathur, B. S. Dayasagar, Snehanshu Saha

J. Inf. Sci., 2023

A novel RNA pseudouridine site prediction model using Utility Kernel and data-driven parameters.

Sourabh Patil, Archana Mathur, Raviprasad Aduri, Snehanshu Saha

CoRR, 2023

To prune or not to prune : A chaos-causality approach to principled pruning of dense neural networks.

Rajan Sahu, Shivam Chadha, Nithin Nagaraj, Archana Mathur, Snehanshu Saha

CoRR, 2023

2022

P-LSTM: A Novel LSTM Architecture for Glucose Level Prediction Problem.

Abhijeet Swain, Vaibhav Ganatra, Snehanshu Saha, Archana Mathur, Rekha Phadke

Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021

DiffAct: A Unifying Framework for Activation Functions.

Snehanshu Saha, Archana Mathur, Aditya Pandey, Harshith Arun Kumar

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

CEESA meets machine learning: A Constant Elasticity Earth Similarity Approach to habitability and classification of exoplanets.

Suryoday Basak, Snehanshu Saha, Archana Mathur, Kakoli Bora, Simran Makhija, Margarita Safonova, Surbhi Agrawal

Astron. Comput., 2020

2019

SES-RREF: The Machine Learning Approach to Credible Metrics of Scholastic Evidence via Recursive Referencing.

Archana Mathur, Snehanshu Saha, Saibal Kar, Gouri Ginde, Ankit Sinha

J. Sci. Res., 2019

Time Reversed Delay Differential Equation Based Modeling of Journal Influence in An Emerging Area.

Archana Mathur, Snehanshu Saha, Poulami Sarkar, Saibal Kar, Suryoday Basak

J. Integr. Des. Process. Sci., 2019

Evolution of Novel Activation Functions in Neural Network Training with Applications to Classification of Exoplanets.

Snehanshu Saha, Nithin Nagaraj, Archana Mathur, Rahul Yedida

CoRR, 2019

2018

Model Visualization in Understanding Rapid Growth of a Journal in an Emerging Area.

Snehanshu Saha, Poulami Sarkar, Archana Mathur, Suryoday Basak

J. Sci. Res., 2018

Use of NoSQL Database and Visualization Techniques to Analyze Massive Scholarly Article Data from Journals.

Gouri Ginde, Snehanshu Saha, Archana Mathur, Harsha Vamsi, Sudeepa Roy Dey, Swati Sampatrao Gambhire

J. Sci. Res., 2018

SBAF: A New Activation Function for Artificial Neural Net based Habitability Classification.

Snehanshu Saha, Archana Mathur, Kakoli Bora, Surbhi Agrawal, Suryoday Basak

CoRR, 2018

Time Reversed Delay Differential Equation Based Modeling Of Journal Influence In An Emerging Area.

Poulami Sarkar, Snehanshu Saha, Archana Mathur, Rahul Aedula, Saibal Kar, Surbhi Agrawal, Kakoli Bora

CoRR, 2018

A New Activation Function for Artificial Neural Net Based Habitability Classification.

Snehanshu Saha, Archana Mathur, Kakoli Bora, Suryoday Basak, Surbhi Agrawal

Proceedings of the 2018 International Conference on Advances in Computing, 2018

2016

ScientoBASE: a framework and model for computing scholastic indicators of non-local influence of journals via native data acquisition algorithms.

Gouri Ginde, Snehanshu Saha, Archana Mathur, Sukrit Venkatagiri, Sujith Vadakkepat, Anand M. Narasimhamurthy, B. S. Daya Sagar

Scientometrics, 2016

DSRS: Estimation and Forecasting of Journal Influence in the Science and Technology Domain via a Lightweight Quantitative Approach.

Snehanshu Saha, Neelam Jangid, Archana Mathur, M. N. Anand

CoRR, 2016

2015

Computing the Prestige of a journal: A Revised Multiple Linear Regression Approach.

Neelam Jangid, Snehanshu Saha, Anand M. Narasimhamurthy, Archana Mathur

Proceedings of the Third International Symposium on Women in Computing and Informatics, 2015