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Logic-Based Explainability in Machine Learning

Logic-Based Explainability in Machine Learning

Review of Explainable Machine Learning for Anaerobic Digestion - Research paper summary

Review of Explainable Machine Learning for Anaerobic Digestion - Research paper summary

Transcribing Medieval Manuscripts for Machine Learning

Transcribing Medieval Manuscripts for Machine Learning

Machine learning for flow field measurements - a perspective

Machine learning for flow field measurements - a perspective

Detecting Anomalies in Heterogeneous Population-Scale VAT Networks - A Network and Machine Learning Approach to Detect Value Added Tax Fraud

Detecting Anomalies in Heterogeneous Population-Scale VAT Networks - A Network and Machine Learning Approach to Detect Value Added Tax Fraud

Estimation of Correlation Matrices from Limited Time Series Data using Machine Learning

Estimation of Correlation Matrices from Limited Time Series Data using Machine Learning

Unsupervised machine learning framework for discriminating major variants of concern during COVID-19

Unsupervised machine learning framework for discriminating major variants of concern during COVID-19

Advances in Kernel Methods - Towards General-Purpose and Scalable Models - Doctoral Dissertation

Advances in Kernel Methods - Towards General-Purpose and Scalable Models - Doctoral Dissertation

PDE-Constrained Machine Learning with Gaussian Processes towards Digital Twins

PDE-Constrained Machine Learning with Gaussian Processes towards Digital Twins

Euclidean Equivariant Processing and Machine Learning on Position-Orientation Space

Euclidean Equivariant Processing and Machine Learning on Position-Orientation Space

Interpretable machine learning for predicting the bearing capacity of double shear-bolted connections - a data-driven evaluation

Interpretable machine learning for predicting the bearing capacity of double shear-bolted connections - a data-driven evaluation

Double Debiased Machine Learning Nonparametric Inference with Continuous Treatments

Double Debiased Machine Learning Nonparametric Inference with Continuous Treatments

Disruption Prediction Approaches Using Machine Learning Tools in Tokamaks - Overview

Disruption Prediction Approaches Using Machine Learning Tools in Tokamaks - Overview

Cyber-Securing Medical Devices Using Machine Learning - A Case Study of Pacemaker

Cyber-Securing Medical Devices Using Machine Learning - A Case Study of Pacemaker

Knowledge-Guided Machine Learning for Operational Flood Forecasting

Knowledge-Guided Machine Learning for Operational Flood Forecasting