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Fearghal O'Donncha

3 accepted papers

2026

Adaptive Conformal Anomaly Detection with Time Series Foundation Models for Signal Monitoring.

ICLR 2026poster

We propose a post-hoc adaptive conformal anomaly detection method for monitoring time series that leverages predictions from pre-trained foundation models without requiring additional fine-tuning. Our method yields an interpretable anomaly score directly interpretable as a false alarm rate (p-value)…

Cited by 0SourcecodeScholar
2025

Agentic AI for Digital Twin

AAAI 2025technical

The complexity of the shipping industry, dynamic operational drivers, and diverse data sources present significant scalability challenges for digital twins. Agentic Large Language Models (LLMs) augmented with external tools offer a promising solution to accelerate digital twin adoption. Using pre-tr…

Cited by 0SourcePDFScholar
2023

Forecasting Soil Moisture Using Domain Inspired Temporal Graph Convolution Neural Networks To Guide Sustainable Crop Management

IJCAI 2023poster

Agriculture faces unprecedented challenges due to climate change, population growth, and water scarcity. These challenges highlight the need for efficient resource usage to optimize crop production. Conventional techniques for forecasting hydrological response features, such as soil moisture, rely o…