Kary Främling

Explainable Artificial Intelligence for Human Decision-Support System in Medical Domain

In the present paper we present the potential of Explainable Artificial Intelligence methods for decision-support in medical image analysis scenarios. With three types of explainable methods...

Towards a Rigorous Evaluation of Explainability for Multivariate Time Series

Machine learning-based systems are rapidly gaining popularity and in-line with that there has been a huge research surge in the field of explainability to ensure that machine learning models are...

Towards data exchange interoperability in building lifecycle management

Integration and uses of RF Memory Tags with Smart Space Semantic Web Middleware

IoT-based interoperability framework for asset and fleet management

From Tracking with RFID to Intelligent Products

Improving Neural Network Verification Efficiency Through Perturbation Refinement

Dual Memory Model for Using Pre-existing Knowledge in Reinforcement Learning Tasks

Two-Way Communications Through Firewalls Using QLM Messaging

Instance-Informed Information Systems: A Pre-requisite for Energy-Efficient and Green Information Systems

IoT-based Smart Parking System for Sporting Event Management

Air Handling Unit Explainability Using Contextual Importance and Utility

Authentication and Access Control for Open Messaging Interface Standard

Combined use of lifecycle management and IoT in smart cities

Data Model Logger - Data Discovery for Extract-Transform-Load

Data supply chain in Industrial Internet

Feature Importance versus Feature Influence and What It Signifies for Explainable AI

An Evaluation of Contextual Importance and Utility for Outcome Explanation of Black-Box Predictions for Medical Datasets