EFFRA Innovation Portal

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WHY engine theory

Project: COALA

Updated at: 31-07-2023

Digital intelligent assistant core for manufacturing demonstrator - version 2

Project: COALA

Updated at: 31-07-2023

Prescriptive quality analytics service - version 2

Project: COALA

Updated at: 31-07-2023

Adequate and fair explanations

Project: COALA

Updated at: 31-07-2023

A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set

Project: COALA

Updated at: 31-07-2023

Delivering Trustworthy AI through Formal XAI

Project: COALA

Updated at: 31-07-2023

Towards Using Digital Intelligent Assistants to Put Humans in the Loop of Predictive Maintenance Systems

Project: COALA

Updated at: 31-07-2023

Optimizing Binary Decision Diagrams for Interpretable Machine Learning Classification

Project: COALA

Updated at: 31-07-2023

Bias in semantic and discourse interpretation

Project: COALA

Updated at: 31-07-2023

Counterfactual Models for Fair and Adequate Explanations

Project: COALA

Updated at: 31-07-2023

Constraint-Driven Explanations of Black-Box ML Models

Project: COALA

Updated at: 31-07-2023

A Scalable Two Stage Approach to Computing Optimal Decision Sets

Project: COALA

Updated at: 31-07-2023

Projection to Fairness in Statistical Learning

Project: COALA

Updated at: 31-07-2023

AT-Based Rigorous Explanations for Decision Lists

Project: COALA

Updated at: 31-07-2023

Data-Driven Collaborative Human-AI Decision Making

Project: COALA

Updated at: 31-07-2023

Hybrid-augmented intelligence in predictive maintenance with digital intelligent assistants

Project: COALA

Updated at: 31-07-2023

Joint COALA requirements

Project: COALA

Updated at: 31-07-2023

Real-Time Equipment Health State Prediction with LSTM Networks and Bayesian Inference

Project: COALA

Updated at: 31-07-2023

Cognitive advisor service - version 2

Project: COALA

Updated at: 31-07-2023

AI-focused didactic concept for factory workers - interim

Project: COALA

Updated at: 31-07-2023

Intent and context recognition assessment report

Project: COALA

Updated at: 31-07-2023

WHY engine prototype

Project: COALA

Updated at: 31-07-2023

Report on the application of ethical principles for AI in manufacturing - interim

Project: COALA

Updated at: 31-07-2023

On Efficiently Explaining Graph-Based Classifiers

Project: COALA

Updated at: 31-07-2023

On the tractability of explaining decisions of classifiers

Project: COALA

Updated at: 31-07-2023

Reasoning-Based Learning of Interpretable ML Models

Project: COALA

Updated at: 31-07-2023

Explanations for Monotonic Classifiers

Project: COALA

Updated at: 31-07-2023

On Explaining Random Forests with SAT

Project: COALA

Updated at: 31-07-2023

Using MaxSAT for Efficient Explanations of Tree Ensembles

Project: COALA

Updated at: 31-07-2023

A novel Explainable Artificial Intelligence and secure Artificial Intelligence asset sharing platform for the manufactur...

Project: XMANAI

Updated at: 31-07-2023

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259 (current)
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Resources

Selected filters:

WHY engine theory

Digital intelligent assistant core for manufacturing demonstrator - version 2

Prescriptive quality analytics service - version 2

Adequate and fair explanations

A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set

Delivering Trustworthy AI through Formal XAI

Towards Using Digital Intelligent Assistants to Put Humans in the Loop of Predictive Maintenance Systems

Optimizing Binary Decision Diagrams for Interpretable Machine Learning Classification

Bias in semantic and discourse interpretation

Counterfactual Models for Fair and Adequate Explanations

Constraint-Driven Explanations of Black-Box ML Models

A Scalable Two Stage Approach to Computing Optimal Decision Sets

Projection to Fairness in Statistical Learning

AT-Based Rigorous Explanations for Decision Lists

Data-Driven Collaborative Human-AI Decision Making

Hybrid-augmented intelligence in predictive maintenance with digital intelligent assistants

Joint COALA requirements

Real-Time Equipment Health State Prediction with LSTM Networks and Bayesian Inference

Cognitive advisor service - version 2

AI-focused didactic concept for factory workers - interim

Intent and context recognition assessment report

WHY engine prototype

Report on the application of ethical principles for AI in manufacturing - interim

On Efficiently Explaining Graph-Based Classifiers

On the tractability of explaining decisions of classifiers

Reasoning-Based Learning of Interpretable ML Models

Explanations for Monotonic Classifiers

On Explaining Random Forests with SAT

Using MaxSAT for Efficient Explanations of Tree Ensembles

A novel Explainable Artificial Intelligence and secure Artificial Intelligence asset sharing platform for the manufactur...