127 citations · 307 across the 11 of their papers we have counts for
4 papers · 1 filter
Scalable Semi-Supervised Learning over Networks using Nonsmooth Convex Optimization
Alexander Jung, Alfred O. Hero, Alexandru Mara +1
We propose a scalable method for semi-supervised (transductive) learning from massive network-structured datasets. Our approach to semi-supervised learning is based on representing…
An Experimental Survey on Big Data Frameworks
Wissem Inoubli, Sabeur Aridhi, Haithem Mezni +2
Recently, increasingly large amounts of data are generated from a variety of sources. Existing data processing technologies are not suitable to cope with the huge amounts of genera…
Big Graph Mining: Frameworks and Techniques
Sabeur Aridhi, Engelbert Mephu Nguifo
Big graph mining is an important research area and it has attracted considerable attention. It allows to process, analyze, and extract meaningful information from large amounts of…
Multiple instance learning for sequence data with across bag dependencies
Manel Zoghlami, Sabeur Aridhi, Mondher Maddouri +1
In Multiple Instance Learning (MIL) problem for sequence data, the instances inside the bags are sequences. In some real world applications such as bioinformatics, comparing a rand…