research
∙
10/10/2022
A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream Classification
In real-world applications, the process generating the data might suffer...
share
research
∙
07/30/2021
Tiny Machine Learning for Concept Drift
Tiny Machine Learning (TML) is a new research area whose goal is to desi...
research
∙
04/29/2021
RECKONition: a NLP-based system for Industrial Accidents at Work Prevention
Extracting patterns and useful information from Natural Language dataset...
research
∙
05/26/2020
Time-Variant Variational Transfer for Value Functions
In most transfer learning approaches to reinforcement learning (RL) the ...
research
∙
03/30/2020
A Privacy-Preserving Distributed Architecture for Deep-Learning-as-a-Service
Deep-learning-as-a-service is a novel and promising computing paradigm a...
research
∙
08/02/2019
Distributed Deep Convolutional Neural Networks for the Internet-of-Things
Due to the high demand in computation and memory, deep learning solution...
research
∙
10/16/2015