Abstract: An innovative method is proposed to generate a realistic functional neutron and gamma pulses model for a liquid scintillator-based detector. This approach analyzed neutron and gamma pulse ...
Abstract: Ground penetrating radar (GPR) plays a crucial role in subsurface imaging, but its utility is often constrained by issues such as noise and data incompleteness. To overcome these limitations ...
Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...
Developing AI systems that operate effectively across languages while remaining culturally grounded is a long-standing challenge, particularly in low-resource settings. Synthetic data provides a ...
NeuroSynth: a new platform for large-scale automated synthesis of human functional neuroimaging data
A central goal of human neuroimaging research is to map relationships between mind and brain, enabling decoding of cognitive states from brain activity (Norman, Polyn, Detre, & Haxby, 2006; Poldrack, ...
This project reproduces and extends the work of Lin et al. (2025): "A Case Study Exploring the Current Landscape of Synthetic Medical Record Generation with Commercial LLMs" (JMLR CHIL 2025).
AEGIS is a large-scale dataset and benchmark for detecting errors in Multi-Agent Systems (MAS). It provides systematically generated failure scenarios with verifiable ground-truth labels across ...
Differentially private (DP) synthetic data generation is a promising technique for utilizing private datasets that otherwise cannot be exposed for model training or other analytics. While much ...
Objective: An estimated 15 million people are affected by depression and anxiety in Pakistan. However, there are relatively few government mental health facilities and certified psychiatrists. This ...
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