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Pingla Institute

Homepage: pingla.org.au
Alternate name: Pingla Institute Ltd
ROR: 03xsfa755
OpenAlex ID: I4405269354
A review of ensemble learning and data augmentation models for class imbalanced problems: Combination, implementation and evaluation
2023 · Azal Ahmad Khan, Omkar Chaudhari, et al. · Expert Systems with Applications · 694
Bayesian Neural Networks via MCMC: A Python-Based Tutorial
2024 · Rohitash Chandra, Joshua Simmons · IEEE Access · 54
Recursive Deep Learning Framework for Forecasting the Decadal World Economic Outlook
2024 · Tianyi Wang, Rodney Beard, et al. · IEEE Access · 14
An Analysis of Vaccine-Related Sentiments on Twitter (X) from Development to Deployment of COVID-19 Vaccines
2024 · Rohitash Chandra, Jayesh Sonawane, et al. · Big Data and Cognitive Computing · 13
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Evaluation of google translate for Mandarin Chinese translation using sentiment and semantic analysis
2025 · Xuechun Wang, Rodney Beard, et al. · Natural Language Processing Journal · 10
DynBERG: Dynamic BERT-based Graph neural network for financial fraud detection
2025 · Kulkarni, Omkar, Chandra, Rohitash · arXiv (Cornell University) · 6
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Longitudinal abuse and sentiment analysis of Hollywood movie dialogues using language models
2025 · Rohitash Chandra, Guoxiang Ren · Machine Learning with Applications · 6
Ensemble quantile-based deep learning framework for streamflow and flood prediction in Australian catchments
2026 · Rohitash Chandra, Arpit Kapoor, et al. · Stochastic Environmental Research and Risk Assessment · 4
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HP-BERT: A Framework for Longitudinal Study of Hinduphobia on Social Media via Language Models
2025 · Ashutosh Singh, Rohitash Chandra · IEEE Access · 4
Global Ease of Living Index: a machine learning framework for longitudinal analysis of major economies
2026 · Arun Kumar Selvaraj, Tanay Panat, et al. · International Journal of Data Science and Analytics · 3
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Deep learning framework for crater detection and identification on the Moon and Mars
2026 · Yihan Ma, Jessie Guo, et al. · npj Space Exploration · 3
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Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputation
2024 · Kulkarni, Omkar, Chandra, Rohitash · arXiv (Cornell University) · 3
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Personalized Blood Glucose Prediction Using Physiology- Informed Machine Learning
2026 · Sarala Ghimire, Turgay Celik, et al. · Machine Learning and Knowledge Extraction · 2
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Designing with Unpredictable Narrators: Tensions in AI-Mediated Game-Based Learning
2026 · Julie Madelen Madshaven, Christian Robere Simonsen, et al. · European Conference on Games Based Learning · 1
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An evaluation of LLMs for political bias in Western media: Israel-Hamas and Ukraine-Russia wars
2026 · Chandra, Rohitash, Chen, Haoyan, et al. · arXiv (Cornell University) · 1
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Detoxify: A framework for abusive text transformation using LLMs
2025 · Chandra, Rohitash, Choi, Jiyong, et al. · arXiv (Cornell University) · 1
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Spatiotemporal deep learning models for detection of rapid intensification in cyclones
2025 · Sutar, Vamshika, Singh, Amandeep, et al. · arXiv (Cornell University) · 1
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Enigme: Generative Text Puzzles for Evaluating Reasoning in Language Models
2025 · John Hawkins · International Conference on Engineering, Applied Sciences, and Technology (ICEAST) · 1
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Science and Hinduism share the vision of a quest for truth
2024 · Rohitash Chandra · Nature Human Behaviour · 1
Seeing the Gaps: Heatmaps, Metrics, and the Hidden Failures of Explainable AI in Dentomaxillofacial Radiology – A Systematic Review
2026 · Fara A Fernandes, Georgi Chaltikyan, et al. · Dentomaxillofacial Radiology
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Designing for Breakdown: Failure Modes in AI-Mediated Implicit Game-Based Learning
2026 · Julie Madelen Madshaven, Christian W. Omlin · Lecture notes in computer science
Evaluation of clustering methods for segmentation of hyperspectral remote sensing data
2026 · Ehsan Farahbakhsh, Pulkit Sharma, et al. · Research Square
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Looking Ahead When It Is Safe: An Uncertainty-Aware Paradigm for Blood Glucose Prediction with Dynamic Horizon Control
2026 · Sarala Ghimire, Turgay Celik, et al. · Machine Learning and Knowledge Extraction
Machine learning-based correlation analysis of decadal cyclone intensity with sea surface temperature: data and tutorial
2026 · Jingyang Wu, Rohitash Chandra · Stochastic Environmental Research and Risk Assessment
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Automated evaluation of LLMs for effective machine translation of Mandarin Chinese to English
2026 · Zhang, Yue, Beard, Rodney, et al. · arXiv (Cornell University)
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Works count: 33
Citation count: 890
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