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Getting Things Done: The Eelco Way
Retrain AI Systems Responsibly! Use Sustainable Concept Drift Adaptation Techniques
Adaptive Distributed Streaming Similarity Joins
Explaining Black-Box Models through Counterfactuals
Endogenous Macrodynamics in Algorithmic Recourse
Towards Evaluating Stream Processing Autoscalers
Enriching Source Code with Contextual Data for Code Completion Models: An Empirical Study
Towards Understanding Machine Learning Testing in Practise
Maintaining and Monitoring AIOps Models Against Concept Drift
Uncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AI
Dynamic Prediction of Delays in Software Projects using Delay Patterns and Bayesian Modeling
STACC: Code Comment Classification using SentenceTransformers
Batching for Green AI - An Exploratory Study on Inference
Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binaries
PropR: Property-Based Automatic Program Repair
Nalanda: a socio-technical graph platform for building software analytics tools at enterprise scale
Exploring the Feasibility of Crowd-Powered Decomposition of Complex User Questions in Text-to-SQL Tasks
Data Smells in Public Datasets
'Project smells' - Experiences in Analysing the Software Quality of ML Projects with mllint
SynTest-Solidity: Automated Test Case Generation and Fuzzing for Smart Contracts
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