Archana Mathur

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 21

Top Topics

Machine Learning

Candidate Pruning

Top Venues

Astron. Comput.

J. Integr. Des. Process. Sci.

Publications

Ashman Mehra, Snehanshu Saha, Vaskar Raychoudhury, Archana Mathur
DeliverAI: Reinforcement Learning Based Distributed Path-Sharing Network for Food Deliveries. CoRR (2023)
Sourabh Patil, Archana Mathur, Raviprasad Aduri, Snehanshu Saha
A novel RNA pseudouridine site prediction model using Utility Kernel and data-driven parameters. CoRR (2023)
Rajan Sahu, Shivam Chadha, Nithin Nagaraj, Archana Mathur, Snehanshu Saha
To prune or not to prune : A chaos-causality approach to principled pruning of dense neural networks. CoRR (2023)
Sudeepa Roy Dey, Archana Mathur, B. S. Dayasagar, Snehanshu Saha
ALIS: A novel metric in lineage-independent evaluation of scholars. J. Inf. Sci. 49 (4) (2023)
Nikhilanand Arya, Archana Mathur, Snehanshu Saha, Sriparna Saha
Proposal of SVM Utility Kernel for Breast Cancer Survival Estimation. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (2) (2023)
Abhijeet Swain, Vaibhav Ganatra, Snehanshu Saha, Archana Mathur, Rekha Phadke
P-LSTM: A Novel LSTM Architecture for Glucose Level Prediction Problem. ICONIP (7) (2022)
Snehanshu Saha, Archana Mathur, Aditya Pandey, Harshith Arun Kumar
DiffAct: A Unifying Framework for Activation Functions. IJCNN (2021)
Suryoday Basak, Snehanshu Saha, Archana Mathur, Kakoli Bora, Simran Makhija, Margarita Safonova, Surbhi Agrawal
CEESA meets machine learning: A Constant Elasticity Earth Similarity Approach to habitability and classification of exoplanets. Astron. Comput. 30 (2020)
Snehanshu Saha, Nithin Nagaraj, Archana Mathur, Rahul Yedida
Evolution of Novel Activation Functions in Neural Network Training with Applications to Classification of Exoplanets. CoRR (2019)
Archana Mathur, Snehanshu Saha, Saibal Kar, Gouri Ginde, Ankit Sinha
SES-RREF: The Machine Learning Approach to Credible Metrics of Scholastic Evidence via Recursive Referencing. J. Sci. Res. 8 (2s) (2019)
Archana Mathur, Snehanshu Saha, Poulami Sarkar, Saibal Kar, Suryoday Basak
Time Reversed Delay Differential Equation Based Modeling of Journal Influence in An Emerging Area. J. Integr. Des. Process. Sci. 23 (3) (2019)
Gouri Ginde, Snehanshu Saha, Archana Mathur, Harsha Vamsi, Sudeepa Roy Dey, Swati Sampatrao Gambhire
Use of NoSQL Database and Visualization Techniques to Analyze Massive Scholarly Article Data from Journals. J. Sci. Res. 7 (2) (2018)
Gouri Ginde, Snehanshu Saha, Archana Mathur, Harsha Vamsi, Sudeepa Roy Dey, Swati Sampatrao Gambhire
Use of NoSQL database and visualization techniques to analyze massive scholarly article data from journals. CoRR (2018)
Poulami Sarkar, Snehanshu Saha, Archana Mathur, Rahul Aedula, Saibal Kar, Surbhi Agrawal, Kakoli Bora
Time Reversed Delay Differential Equation Based Modeling Of Journal Influence In An Emerging Area. CoRR (2018)
Snehanshu Saha, Archana Mathur, Kakoli Bora, Suryoday Basak, Surbhi Agrawal
A New Activation Function for Artificial Neural Net Based Habitability Classification. ICACCI (2018)
Snehanshu Saha, Archana Mathur, Kakoli Bora, Surbhi Agrawal, Suryoday Basak
SBAF: A New Activation Function for Artificial Neural Net based Habitability Classification. CoRR (2018)
Snehanshu Saha, Poulami Sarkar, Archana Mathur, Suryoday Basak
Model Visualization in Understanding Rapid Growth of a Journal in an Emerging Area. J. Sci. Res. 7 (1) (2018)
Snehanshu Saha, Poulami Sarkar, Archana Mathur, Suryoday Basak
Model Visualization in understanding rapid growth of a journal in an emerging area. CoRR (2018)
Gouri Ginde, Snehanshu Saha, Archana Mathur, Sukrit Venkatagiri, Sujith Vadakkepat, Anand M. Narasimhamurthy, B. S. Daya Sagar
ScientoBASE: A Framework and Model for Computing Scholastic Indicators of non-local influence of Journals via Native Data Acquisition algorithms. CoRR (2016)
Gouri Ginde, Snehanshu Saha, Archana Mathur, Sukrit Venkatagiri, Sujith Vadakkepat, Anand M. Narasimhamurthy, B. S. Daya Sagar
ScientoBASE: a framework and model for computing scholastic indicators of non-local influence of journals via native data acquisition algorithms. Scientometrics 108 (3) (2016)
Snehanshu Saha, Neelam Jangid, Archana Mathur, M. N. Anand
DSRS: Estimation and Forecasting of Journal Influence in the Science and Technology Domain via a Lightweight Quantitative Approach. CoRR (2016)
Neelam Jangid, Snehanshu Saha, Anand M. Narasimhamurthy, Archana Mathur
Computing the Prestige of a journal: A Revised Multiple Linear Regression Approach. WCI (2015)