research
∙
05/19/2022
EXPANSE: A Deep Continual / Progressive Learning System for Deep Transfer Learning
Deep transfer learning techniques try to tackle the limitations of deep ...
share
research
∙
03/02/2021
Improving Neural Networks for Time Series Forecasting using Data Augmentation and AutoML
Statistical methods such as the Box-Jenkins method for time-series forec...
research
∙
04/29/2020
Video Contents Understanding using Deep Neural Networks
We propose a novel application of Transfer Learning to classify video-fr...
research
∙
04/29/2020
Stereotype-Free Classification of Fictitious Faces
Equal Opportunity and Fairness are receiving increasing attention in art...
research
∙
12/28/2015
Mining Massive Hierarchical Data Using a Scalable Probabilistic Graphical Model
Probabilistic Graphical Models (PGM) are very useful in the fields of ma...
research
∙
12/28/2015
GELATO and SAGE: An Integrated Framework for MS Annotation
Several algorithms and tools have been developed to (semi) automate the ...
research
∙
07/21/2014
