Explaining AI Decisions: Towards Achieving Human-Centered Explainability in Smart Home Environments

no code implementations • 23 Apr 2024 • Md Shajalal, Alexander Boden, Gunnar Stevens, Delong Du, Dean-Robin Kern

Smart home systems are gaining popularity as homeowners strive to enhance their living and working environments while minimizing energy consumption.

Explainable artificial intelligence Explainable Artificial Intelligence (XAI) +1

Peeking Inside the Schufa Blackbox: Explaining the German Housing Scoring System

no code implementations • 20 Nov 2023 • Dean-Robin Kern, Gunnar Stevens, Erik Dethier, Sidra Naveed, Fatemeh Alizadeh, Delong Du, Md Shajalal

Explainable Artificial Intelligence is a concept aimed at making complex algorithms transparent to users through a uniform solution.

Credit score Explainable artificial intelligence

Unveiling Black-boxes: Explainable Deep Learning Models for Patent Classification

no code implementations • 31 Oct 2023 • Md Shajalal, Sebastian Denef, Md. Rezaul Karim, Alexander Boden, Gunnar Stevens

Considering the relevance score, we then generate explanations by visualizing relevant words for the predicted patent class.

Decision Making

Time Series Anomaly Detection in Smart Homes: A Deep Learning Approach

no code implementations • 28 Feb 2023 • Somayeh Zamani, Hamed Talebi, Gunnar Stevens

In this paper, we analyze the patterns pertaining to the power consumption of dishwashers used in two houses of the REFIT dataset.

Anomaly Detection Scheduling +2