activity
20152024
most citedWhen Geoscience Meets Generative AI and Large Language Models: Foundations, Trends, and Future Challenges

50 citations · 207 across the 16 of their papers we have counts for

collaborators

17 papers

physics.geo-ph2024★ 50 cited

When Geoscience Meets Generative AI and Large Language Models: Foundations, Trends, and Future Challenges

Abdenour Hadid, Tanujit Chakraborty, Daniel Busby

Generative Artificial Intelligence (GAI) represents an emerging field that promises the creation of synthetic data and outputs in different modalities. GAI has recently shown impre…

cs.CV2023★ 1 cited

Pain Analysis using Adaptive Hierarchical Spatiotemporal Dynamic Imaging

Issam Serraoui, Eric Granger, Abdenour Hadid +1

Automatic pain intensity estimation plays a pivotal role in healthcare and medical fields. While many methods have been developed to gauge human pain using behavioral or physiologi…

stat.ML2023★ 10 cited

Skew-Probabilistic Neural Networks for Learning from Imbalanced Data

Shraddha M. Naik, Tanujit Chakraborty, Madhurima Panja +2

Real-world datasets often exhibit imbalanced data distribution, where certain class levels are severely underrepresented. In such cases, traditional pattern classifiers have shown…

cs.CV2022★ 2 cited

Evaluation of Pre-Trained CNN Models for Geographic Fake Image Detection

Sid Ahmed Fezza, Mohammed Yasser Ouis, Bachir Kaddar +2

Thanks to the remarkable advances in generative adversarial networks (GANs), it is becoming increasingly easy to generate/manipulate images. The existing works have mainly focused…

cs.LG2022★ 44 cited

Knowledge-based Deep Learning for Modeling Chaotic Systems

Zakaria Elabid, Tanujit Chakraborty, Abdenour Hadid

Deep Learning has received increased attention due to its unbeatable success in many fields, such as computer vision, natural language processing, recommendation systems, and most…

cs.LG2022★ 44 cited

W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecasting

Lena Sasal, Tanujit Chakraborty, Abdenour Hadid

Deep learning utilizing transformers has recently achieved a lot of success in many vital areas such as natural language processing, computer vision, anomaly detection, and recomme…