38 citations · 73 across the 31 of their papers we have counts for
4 papers · 1 filter
Numerical Stability of DeepGOPlus Inference
Inés Gonzalez Pepe, Yohan Chatelain, Gregory Kiar +1
Convolutional neural networks (CNNs) are currently among the most widely-used deep neural network (DNN) architectures available and achieve state-of-the-art performance for many pr…
Dynamic Ensemble Size Adjustment for Memory Constrained Mondrian Forest
Martin Khannouz, Tristan Glatard
Supervised learning algorithms generally assume the availability of enough memory to store data models during the training and test phases. However, this assumption is unrealistic…
Sea: A lightweight data-placement library for Big Data scientific computing
Valérie Hayot-Sasson, Mathieu Dugré, Tristan Glatard
The recent influx of open scientific data has contributed to the transitioning of scientific computing from compute intensive to data intensive. Whereas many Big Data frameworks ex…
Mondrian Forest for Data Stream Classification Under Memory Constraints
Martin Khannouz, Tristan Glatard
Supervised learning algorithms generally assume the availability of enough memory to store their data model during the training and test phases. However, in the Internet of Things,…