6 citations · 11 across the 7 of their papers we have counts for
8 papers
Harnessing the Computing Continuum across Personalized Healthcare, Maintenance and Inspection, and Farming 4.0
Fatemeh Baghdadi, Davide Cirillo, Daniele Lezzi +6
The AI-SPRINT project, launched in 2021 and funded by the European Commission, focuses on the development and implementation of AI applications across the computing continuum. This…
Tunable and Portable Extreme-Scale Drug Discovery Platform at Exascale: the LIGATE Approach
Gianluca Palermo, Gianmarco Accordi, Davide Gadioli +32
Today digital revolution is having a dramatic impact on the pharmaceutical industry and the entire healthcare system. The implementation of machine learning, extreme-scale computer…
POPNASv3: a Pareto-Optimal Neural Architecture Search Solution for Image and Time Series Classification
Andrea Falanti, Eugenio Lomurno, Danilo Ardagna +1
The automated machine learning (AutoML) field has become increasingly relevant in recent years. These algorithms can develop models without the need for expert knowledge, facilitat…
POPNASv2: An Efficient Multi-Objective Neural Architecture Search Technique
Andrea Falanti, Eugenio Lomurno, Stefano Samele +2
Automating the research for the best neural network model is a task that has gained more and more relevance in the last few years. In this context, Neural Architecture Search (NAS)…
Machine Learning for Performance Prediction of Spark Cloud Applications
Alexandre Maros, Fabricio Murai, Ana Paula Couto da Silva +5
Big data applications and analytics are employed in many sectors for a variety of goals: improving customers satisfaction, predicting market behavior or improving processes in publ…
ANDREAS: Artificial intelligence traiNing scheDuler foR accElerAted resource clusterS
Federica Filippini, Danilo Ardagna, Marco Lattuada +7
Artificial Intelligence (AI) and Deep Learning (DL) algorithms are currently applied to a wide range of products and solutions. DL training jobs are highly resource demanding and t…
A Game-Theoretic Approach for Runtime Capacity Allocation in MapReduce
Eugenio Gianniti, Danilo Ardagna, Michele Ciavotta +1
Nowadays many companies have available large amounts of raw, unstructured data. Among Big Data enabling technologies, a central place is held by the MapReduce framework and, in par…
D-SPACE4Cloud: A Design Tool for Big Data Applications
Michele Ciavotta, Eugenio Gianniti, Danilo Ardagna
The last years have seen a steep rise in data generation worldwide, with the development and widespread adoption of several software projects targeting the Big Data paradigm. Many…