Archana Mathur
ScholarGPS® ID: 35463409125804
Affiliation History
Field
Social Sciences
Discipline
Information Sciences
Top Specialties
Artificial Neural Network | Big Data
Metrics Summary
Publication Count
18
Predicted Citations
91
Predicted h-index
5
Ranking
Publications and Citation History
Publications based on Top Specialties
Types of Publication
- Publications
- Books
- Patents
- NIH/NSF
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Breast cancer prognosis through the use of multi-modal classifiers: current state of the art and the way forward (journal article) Briefings in Functional Genomics (2024). |
Predictive, correlative and machine learning models for estimation of viscosity of liquid mixtures (journal article) Journal of Molecular Liquids, volume 397 (2024). |
Improving the robustness and stability of a machine learning model for breast cancer prognosis through the use of multi-modal classifiers (journal article) Scientific Reports, volume 13, issue 1 (2023). |
Proposal of SVM Utility Kernel for Breast Cancer Survival Estimation (journal article) IEEE/ACM Transactions on Computational Biology and Bioinformatics, volume 20, issue 2, pages 1372-1383 (2023). |
P-LSTM: A Novel LSTM Architecture for Glucose Level Prediction Problem (book chapter) In Neural Information Processing Springer Nature Singapore (2023) |
Theory, Concepts, and Applications of Artificial Neural Networks (book chapter) In Applied Soft Computing Apple Academic Press (2022) |
Quantifying the classification of exoplanets: in search for the right habitability metric (journal article) The European Physical Journal Special Topics, volume 230, issue 10, pages 2207-2220 (2021). |
2021 International Joint Conference on Neural Networks (IJCNN) (2021) Shenzhen, China |
Time Reversed Delay Differential Equation Based Modeling of Journal Influence in An Emerging Area (journal article) Journal of Integrated Design and Process Science, volume 23, issue 3, pages 43-71 (2021). |
L1 Norm SVD-Based Ranking Scheme: A Novel Method in Big Data Mining (book chapter) In Intelligence in Big Data Technologies—Beyond the Hype Springer Singapore (2021) |
CEESA meets machine learning: A Constant Elasticity Earth Similarity Approach to habitability and classification of exoplanets (journal article) Astronomy and Computing, volume 30 (2020). |
SES-RREF: The Machine Learning Approach to Credible Metrics of Scholastic Evidence via Recursive Referencing (journal article) Journal of Scientometric Research, volume 8, issue 2s, pages s44-s73 (2019). |
Use of NoSQL Database and Visualization Techniques to Analyze Massive Scholarly Article Data from Journals (journal article) Journal of Scientometric Research, volume 7, issue 2, pages 114-119 (2018). |
2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (2018) Bangalore |
Model Visualization in Understanding Rapid Growth of a Journal in an Emerging Area (journal article) arXiv: Digital Libraries, volume 7, issue 1, pages 48-53 (2018). |
Big Data Acquisition, Preparation, and Analysis Using Apache Software Foundation Tools (book chapter) In Big Data Analytics Chapman and Hall/CRC (2017) |
ScientoBASE: a framework and model for computing scholastic indicators of non-local influence of journals via native data acquisition algorithms (journal article) Scientometrics, volume 108, issue 3, pages 1479-1529 (2016). |
DSRS: Estimation and forecasting of journal influence in the science and technology domain via a lightweight quantitative approach (journal article) Collnet Journal of Scientometrics and Information Management, volume 10, issue 1, pages 41-70 (2016). |
Computing the Prestige of a journal (conference) WCI '15: Third International Symposium on Women in Computing and Informatics (2015) Kochi India |