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Adaptive Distributed Streaming Similarity Joins
Explaining Black-Box Models through Counterfactuals
Towards Evaluating Stream Processing Autoscalers
Maintaining and Monitoring AIOps Models Against Concept Drift
Towards Understanding Machine Learning Testing in Practise
Retrain AI Systems Responsibly! Use Sustainable Concept Drift Adaptation Techniques
Uncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AI
Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binaries
Enriching Source Code with Contextual Data for Code Completion Models: An Empirical Study
Endogenous Macrodynamics in Algorithmic Recourse
Batching for Green AI - An Exploratory Study on Inference
Dynamic Prediction of Delays in Software Projects using Delay Patterns and Bayesian Modeling
STACC: Code Comment Classification using SentenceTransformers
Getting Things Done: The Eelco Way
Exploring the Feasibility of Crowd-Powered Decomposition of Complex User Questions in Text-to-SQL Tasks
Challenges in Applying Continuous Experimentation: A Practitioners' Perspective
'Project smells' - Experiences in Analysing the Software Quality of ML Projects with mllint
Guiding Automated Test Case Generation for Transaction-Reverting Statements in Smart Contracts
Removing dependencies from large software projects: Are you really sure?
Code Smells for Machine Learning Applications
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