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09/03/2023
AB2CD: AI for Building Climate Damage Classification and Detection
We explore the implementation of deep learning techniques for precise bu...
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07/25/2023
The Impact of Imperfect XAI on Human-AI Decision-Making
Explainability techniques are rapidly being developed to improve human-A...
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05/12/2023
Conceptualizing A Multi-Sided Platform For Cloud Computing Resource Trading
Cost-effective and responsible use of cloud computing resources (CCR) is...
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05/12/2023
ML-Based Teaching Systems: A Conceptual Framework
As the shortage of skilled workers continues to be a pressing issue, exa...
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04/19/2023
On the Perception of Difficulty: Differences between Humans and AI
With the increased adoption of artificial intelligence (AI) in industry ...
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04/14/2023
Learning to Defer with Limited Expert Predictions
Recent research suggests that combining AI models with a human expert ca...
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03/28/2023
Enabling Inter-organizational Analytics in Business Networks Through Meta Machine Learning
Successful analytics solutions that provide valuable insights often hing...
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02/23/2023
Parameter-free shape optimization: various shape updates for engineering applications
In the last decade, parameter-free approaches to shape optimization prob...
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02/17/2023
An Incremental Singular Value Decomposition Approach for Large-Scale Spatially Parallel Distributed but Temporally Serial Data – Applied to Technical Flows
The paper presents a strategy to construct an incremental Singular Value...
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02/07/2023
Towards Meaningful Anomaly Detection: The Effect of Counterfactual Explanations on the Investigation of Anomalies in Multivariate Time Series
Detecting rare events is essential in various fields, e.g., in cyber sec...
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02/04/2023
Appropriate Reliance on AI Advice: Conceptualization and the Effect of Explanations
AI advice is becoming increasingly popular, e.g., in investment and medi...
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02/03/2023
Data Mesh: Motivational Factors, Challenges, and Best Practices
With the increasing importance of data and artificial intelligence, orga...
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01/23/2023
Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard Segmentation
Climate change results in an increased probability of extreme weather ev...
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12/22/2022
Data-centric Artificial Intelligence
Data-centric artificial intelligence (data-centric AI) represents an eme...
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09/22/2022
Deep Domain Adaptation for Detecting Bomb Craters in Aerial Images
The aftermath of air raids can still be seen for decades after the devas...
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08/08/2022
An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making
In this work, we empirically examine human-AI decision-making in the pre...
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07/01/2022
Training Novices: The Role of Human-AI Collaboration and Knowledge Transfer
Across a multitude of work environments, expert knowledge is imperative ...
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05/10/2022
A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making
Research in artificial intelligence (AI)-assisted decision-making is exp...
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05/04/2022
Machine Learning Operations (MLOps): Overview, Definition, and Architecture
The final goal of all industrial machine learning (ML) projects is to de...
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05/03/2022
On the Effect of Information Asymmetry in Human-AI Teams
Over the last years, the rising capabilities of artificial intelligence ...
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04/19/2022
Factors that influence the adoption of human-AI collaboration in clinical decision-making
Recent developments in Artificial Intelligence (AI) have fueled the emer...
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04/19/2022
On the Influence of Explainable AI on Automation Bias
Artificial intelligence (AI) is gaining momentum, and its importance for...
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04/14/2022
Should I Follow AI-based Advice? Measuring Appropriate Reliance in Human-AI Decision-Making
Many important decisions in daily life are made with the help of advisor...
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02/14/2022
Discrete Adjoint Momentum-Weighted Interpolation Strategies
This Technical Note outlines an adjoint complement to a critical buildin...
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10/18/2021
Utilizing Active Machine Learning for Quality Assurance: A Case Study of Virtual Car Renderings in the Automotive Industry
Computer-generated imagery of car models has become an indispensable par...
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09/28/2021
Intelligent Decision Assistance Versus Automated Decision-Making: Enhancing Knowledge Work Through Explainable Artificial Intelligence
While recent advances in AI-based automated decision-making have shown m...
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09/28/2021
What to Prioritize? Natural Language Processing for the Development of a Modern Bug Tracking Solution in Hardware Development
Managing large numbers of incoming bug reports and finding the most crit...
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09/23/2021
Deep Learning Strategies for Industrial Surface Defect Detection Systems
Deep learning methods have proven to outperform traditional computer vis...
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09/21/2021
Fake or Credible? Towards Designing Services to Support Users' Credibility Assessment of News Content
Fake news has become omnipresent in digitalized areas such as social med...
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09/02/2021
Towards a Reference Architecture for Future Industrial Internet of Things Networks
With the continuing decrease of sensor technology prices as well as the ...
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07/05/2021
Detecting Concept Drift With Neural Network Model Uncertainty
Deployed machine learning models are confronted with the problem of chan...
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04/23/2021
A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems
Computer vision (CV) techniques try to mimic human capabilities of visua...
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03/26/2021
A Novel p-Harmonic Descent Approach Applied to Fluid Dynamic Shape Optimization
We introduce a novel method for the implementation of shape optimziation...
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03/05/2021
labelCloud: A Lightweight Domain-Independent Labeling Tool for 3D Object Detection in Point Clouds
Within the past decade, the rise of applications based on artificial int...
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01/14/2021
Needmining: Designing Digital Support to Elicit Needs from Social Media
Today's businesses face a high pressure to innovate in order to succeed ...
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12/04/2020
Utilizing Concept Drift for Measuring the Effectiveness of Policy Interventions: The Case of the COVID-19 Pandemic
As a reaction to the high infectiousness and lethality of the COVID-19 v...
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11/30/2020
Human vs. supervised machine learning: Who learns patterns faster?
The capabilities of supervised machine learning (SML), especially compar...
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11/05/2020
Switching Scheme: A Novel Approach for Handling Incremental Concept Drift in Real-World Data Sets
Machine learning models nowadays play a crucial role for many applicatio...
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10/20/2020
"Healthy surveillance": Designing a concept for privacy-preserving mask recognition AI in the age of pandemics
The obligation to wear masks in times of pandemics reduces the risk of s...
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07/24/2020
Towards Leveraging End-of-Life Tools as an Asset: Value Co-Creation based on Deep Learning in the Machining Industry
Sustainability is the key concept in the management of products that rea...
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07/22/2020
DEAL: Deep Evidential Active Learning for Image Classification
Convolutional Neural Networks (CNNs) have proven to be state-of-the-art ...
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07/14/2020
An Uncertainty-based Human-in-the-loop System for Industrial Tool Wear Analysis
Convolutional neural networks have shown to achieve superior performance...
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05/29/2020
AI-based Resource Allocation: Reinforcement Learning for Adaptive Auto-scaling in Serverless Environments
Serverless computing has emerged as a compelling new paradigm of cloud c...
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05/15/2020
How to Learn from Others: Transfer Machine Learning with Additive Regression Models to Improve Sales Forecasting
In a variety of business situations, the introduction or improvement of ...
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05/13/2020
A network-based transfer learning approach to improve sales forecasting of new products
Data-driven methods – such as machine learning and time series forecasti...
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05/12/2020
Handling Concept Drift for Predictions in Business Process Mining
Predictive services nowadays play an important role across all business ...
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04/22/2020
A New Metric for Lumpy and Intermittent Demand Forecasts: Stock-keeping-oriented Prediction Error Costs
Forecasts of product demand are essential for short- and long-term optim...
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04/01/2020
Handling Concept Drifts in Regression Problems – the Error Intersection Approach
Machine learning models are omnipresent for predictions on big data. One...
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03/30/2020
Half-empty or half-full? A Hybrid Approach to Predict Recycling Behavior of Consumers to Increase Reverse Vending Machine Uptime
Reverse Vending Machines (RVMs) are a proven instrument for facilitating...
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03/29/2020