EFFRA Innovation Portal

AutoConf : Automated Configuration of Unsupervised Learning Systems using Metamorphic Testing and Bayesian Optimization

Project: InterQ

Updated at: 31-03-2024

Uncertainty-aware Virtual Sensors for Cyber-Physical Systems

Project: InterQ

Updated at: 31-03-2024

Supporting Data Analytics in Manufacturing with a Digital Assistant

Project: COALA

Updated at: 31-03-2024

ALTERNATIVE EXPERIMENTAL METHODS FOR MACHINE TOOL DYNAMICS IDENTIFICATION: A REVIEW

Project: InterQ

Updated at: 31-03-2024

UDAVA: an unsupervised learning pipeline for sensor data validation in manufacturing

Project: InterQ

Updated at: 31-03-2024

An Automated Machine Learning Framework for Predictive Analytics in Quality Control

Project: COALA

Updated at: 31-03-2024

Improvement of boring operations by means of mode coupling effect

Project: InterQ

Updated at: 31-03-2024

Break, Repair, Learn, Break Less: Investigating User Preferences for Assignment of Divergent Phrasing Learning Burden in...

Project: COALA

Updated at: 31-03-2024

Towards Robustifying Image Classifiers against the Perils of Adversarial Attacks on Artificial Intelligence Systems

Project: COALA

Updated at: 31-03-2024

A Conversational User Interface for Instructional Maintenance Reports

Project: COALA

Updated at: 31-03-2024

Change management process for human-AI collaboration - final

Project: COALA

Updated at: 31-03-2024

Harnessing Large Language Models for Cognitive Assistants in Factories

Project: COALA

Updated at: 31-03-2024

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

Project: COALA

Updated at: 31-03-2024

Tractable Explaining of Multivariate Decision Trees

Project: COALA

Updated at: 31-03-2024

A Cognitive Assistant for Operators: AI-Powered Knowledge Sharing on Complex Systems

Project: COALA

Updated at: 31-03-2024

Fostering Human-AI Collaboration with Digital Intelligent Assistance in Manufacturing SMEs

Project: COALA

Updated at: 31-03-2024

Data analytics in quality 4.0: literature review and future research directions

Project: COALA

Updated at: 31-03-2024

Certified Logic-Based Explainable AI–The Case of Monotonic Classifiers

Project: COALA

Updated at: 31-03-2024

Lessons Learned from Designing and Evaluating CLAICA: A Continuously Learning AI Cognitive Assistant

Project: COALA

Updated at: 31-03-2024

Periodic Reporting for period 1 - COALA (COgnitive Assisted agile manufacturing for a LAbor force supported by trustwort...

Project: COALA

Updated at: 31-03-2024

When learning becomes impossible

Project: COALA

Updated at: 31-03-2024

Tacit Knowledge Elicitation for Shop-floor Workers with an Intelligent Assistant

Project: COALA

Updated at: 31-03-2024

The Human Factors of AI-Empowered Knowledge Sharing

Project: COALA

Updated at: 31-03-2024

Efficient Reasoning about Infeasible One Machine Sequencing

Project: COALA

Updated at: 31-03-2024

Evaluation of AI-Based Digital Assistants in Smart Manufacturing

Project: COALA

Updated at: 31-03-2024

Disproving XAI Myths with Formal Methods -- Initial Results

Project: COALA

Updated at: 31-03-2024

AI-focused didactic concept for factory workers - final

Project: COALA

Updated at: 31-03-2024

Eliminating The Impossible, Whatever Remains Must Be True

Project: COALA

Updated at: 31-03-2024

Feature Necessity & Relevancy in ML Classifier Explanations

Project: COALA

Updated at: 31-03-2024

Solving Explainability Queries with Quantification: The Case of Feature Relevancy

Project: COALA

Updated at: 31-03-2024

Resources

Selected filters:

AutoConf : Automated Configuration of Unsupervised Learning Systems using Metamorphic Testing and Bayesian Optimization

Uncertainty-aware Virtual Sensors for Cyber-Physical Systems

Supporting Data Analytics in Manufacturing with a Digital Assistant

ALTERNATIVE EXPERIMENTAL METHODS FOR MACHINE TOOL DYNAMICS IDENTIFICATION: A REVIEW

UDAVA: an unsupervised learning pipeline for sensor data validation in manufacturing

An Automated Machine Learning Framework for Predictive Analytics in Quality Control

Improvement of boring operations by means of mode coupling effect

Break, Repair, Learn, Break Less: Investigating User Preferences for Assignment of Divergent Phrasing Learning Burden in...

Towards Robustifying Image Classifiers against the Perils of Adversarial Attacks on Artificial Intelligence Systems

A Conversational User Interface for Instructional Maintenance Reports

Change management process for human-AI collaboration - final

Harnessing Large Language Models for Cognitive Assistants in Factories

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

Tractable Explaining of Multivariate Decision Trees

A Cognitive Assistant for Operators: AI-Powered Knowledge Sharing on Complex Systems

Fostering Human-AI Collaboration with Digital Intelligent Assistance in Manufacturing SMEs

Data analytics in quality 4.0: literature review and future research directions

Certified Logic-Based Explainable AI–The Case of Monotonic Classifiers

Lessons Learned from Designing and Evaluating CLAICA: A Continuously Learning AI Cognitive Assistant

Periodic Reporting for period 1 - COALA (COgnitive Assisted agile manufacturing for a LAbor force supported by trustwort...

When learning becomes impossible

Tacit Knowledge Elicitation for Shop-floor Workers with an Intelligent Assistant

The Human Factors of AI-Empowered Knowledge Sharing

Efficient Reasoning about Infeasible One Machine Sequencing

Evaluation of AI-Based Digital Assistants in Smart Manufacturing

Disproving XAI Myths with Formal Methods -- Initial Results

AI-focused didactic concept for factory workers - final

Eliminating The Impossible, Whatever Remains Must Be True

Feature Necessity & Relevancy in ML Classifier Explanations

Solving Explainability Queries with Quantification: The Case of Feature Relevancy