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ORCIDArchana Mathur
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2020 – today
- 2024
[j9]Vihaan Misra, Shivashankar S. Menon, Snehanshu Saha, Archana Mathur, Haoxiang Yu, Vaskar Raychoudhury:
AdaGen: Adaptive Generalized Knowledge Transfer Framework for Sensor-Based Surface Classification for Wheelchair Routing. SN Comput. Sci. 5(7): 820 (2024)- [c5]Ashman Mehra, Snehanshu Saha, Vaskar Raychoudhury, Archana Mathur:
DeliverAI: Reinforcement Learning Based Distributed Path-Sharing Network for Food Deliveries. IJCNN 2024: 1-9 - 2023
- [j8]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): 1007-1030 (2023) - [j7]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): 1372-1383 (2023) - [i10]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 abs/2308.09955 (2023) - [i9]Ashman Mehra, Snehanshu Saha, Vaskar Raychoudhury, Archana Mathur:
DeliverAI: Reinforcement Learning Based Distributed Path-Sharing Network for Food Deliveries. CoRR abs/2311.02017 (2023) - [i8]Sourabh Patil, Archana Mathur, Raviprasad Aduri, Snehanshu Saha:
A novel RNA pseudouridine site prediction model using Utility Kernel and data-driven parameters. CoRR abs/2311.16132 (2023) - 2022
- [c4]Abhijeet Swain, Vaibhav Ganatra, Snehanshu Saha, Archana Mathur, Rekha Phadke:
P-LSTM: A Novel LSTM Architecture for Glucose Level Prediction Problem. ICONIP (7) 2022: 369-380 - 2021
- [c3]Snehanshu Saha, Archana Mathur, Aditya Pandey, Harshith Arun Kumar:
DiffAct: A Unifying Framework for Activation Functions. IJCNN 2021: 1-8 - 2020
- [j6]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: 100335 (2020)
2010 – 2019
- 2019
- [j5]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): 43-71 (2019) - [j4]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): s44-s73 (2019) - [i7]Snehanshu Saha, Nithin Nagaraj, Archana Mathur, Rahul Yedida:
Evolution of Novel Activation Functions in Neural Network Training with Applications to Classification of Exoplanets. CoRR abs/1906.01975 (2019) - 2018
- [j3]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): 48-53 (2018) - [j2]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): 114-119 (2018) - [c2]Snehanshu Saha, Archana Mathur, Kakoli Bora, Suryoday Basak, Surbhi Agrawal:
A New Activation Function for Artificial Neural Net Based Habitability Classification. ICACCI 2018: 1781-1786 - [i6]Snehanshu Saha, Poulami Sarkar, Archana Mathur, Suryoday Basak:
Model Visualization in understanding rapid growth of a journal in an emerging area. CoRR abs/1803.04644 (2018) - [i5]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 abs/1805.00390 (2018) - [i4]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 abs/1805.03558 (2018) - [i3]Snehanshu Saha, Archana Mathur, Kakoli Bora, Surbhi Agrawal, Suryoday Basak:
SBAF: A New Activation Function for Artificial Neural Net based Habitability Classification. CoRR abs/1806.01844 (2018) - 2016
- [j1]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): 1479-1529 (2016) - [i2]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 abs/1604.03215 (2016) - [i1]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 abs/1605.01821 (2016) - 2015
- [c1]Neelam Jangid, Snehanshu Saha, Anand M. Narasimhamurthy, Archana Mathur:
Computing the Prestige of a journal: A Revised Multiple Linear Regression Approach. WCI 2015: 1-4
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last updated on 2024-10-25 20:10 CEST by the dblp team
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