6 citations · 9 across the 4 of their papers we have counts for
4 papers
Prevalence of Code Smells in Reinforcement Learning Projects
Nicolás Cardozo, Ivana Dusparic, Christian Cabrera
Reinforcement Learning (RL) is being increasingly used to learn and adapt application behavior in many domains, including large-scale and safety critical systems, as for example, a…
Machine Learning Systems: A Survey from a Data-Oriented Perspective
Christian Cabrera, Andrei Paleyes, Pierre Thodoroff +1
Engineers are deploying ML models as parts of real-world systems with the upsurge of AI technologies. Real-world environments challenge the deployment of such systems because these…
An Empirical Evaluation of Flow Based Programming in the Machine Learning Deployment Context
Andrei Paleyes, Christian Cabrera, Neil D. Lawrence
As use of data driven technologies spreads, software engineers are more often faced with the task of solving a business problem using data-driven methods such as machine learning (…
Towards better data discovery and collection with flow-based programming
Andrei Paleyes, Christian Cabrera, Neil D. Lawrence
Despite huge successes reported by the field of machine learning, such as voice assistants or self-driving cars, businesses still observe very high failure rate when it comes to de…