Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 4 of 4 for “"Interpretable ML"”.
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A Machine Learning-Based Heuristic to Explain Game-Theoretic Models
… methodology that integrates Machine Learning (ML), Operations Research (OR), and Game Theory (GT) to develop an interpretable heuristic for principal-agent models (PAM). We extract solution patterns from ensemble tree models trained on solved instances of a PAM. Using these patterns, we develop …
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Advancing Rockfall Hazard Assessment through Data-Driven Modelling Based on Laboratory-Scale Experiments
… experimental analysis with machine learning (ML) modeling to address the complexities of rockfall mechanics. Laboratory experiments were conducted to analyze the behavior of three distinct rock shapes-ellipsoidal, octahedral, and spherical-dropped from a pendulum arm at two specific release …
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Precision phenomenology of the PDF-BSM interplay
… we discuss aspects of modern machine learning (ML) techniques that are useful for the analyses carried out in this thesis and we introduce SIMUnet: an open-source deep learning methodology to perform simultaneous fits of PDFs and BSM parameters, and to assess the potential absorption of new …
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Understanding Neural Burst Patterns Through Graph Neural Network Explainability in Simulated Neuronal Networks
Spontaneous bursting activity in neural networks represents a fundamental mode of informationprocessing in the brain, yet the mechanisms triggering these synchronized events remain poorly understood. While graph-based representations of neural networks are established, discovering the specific …