Visual attributes, from simple objects to soft-biometrics have proven to be a powerful
representational approach for many applications such as image description and human …

Many classification models, based on support vector machine, have been designed so far to
improve classification performance in both supervised and semi-supervised learning. One of …

Human Activities Recognition Via Smartphones Using Supervised Machine Learning
Classifiers Page 1 Shdefat et al., Prim Health Care 2018, 8:1 DOI: 10.4172/2167-1079.1000289 …

We study the supervised learning paradigm called Learning Using Privileged Information,
first suggested by Vapnik and Vashist (2009). In this paradigm, in addition to the examples …

In this work, a supervised probabilistic approach is proposed that integrates the learning
using privileged information (LUPI) paradigm into a hidden conditional random field (HCRF) …

Classification models may often suffer from" structure imbalance" between training and
testing data that may occur due to the deficient data collection process. This imbalance can …

The automatic identification of entities like objects, people or their actions in visual data,
such as images or video, has significantly improved, and is now being deployed in access …

In this work, a novel method based on the learning using privileged information (LUPI)
paradigm for recognizing complex human activities is proposed that handles missing …

Also, I would like to thank my fellow colleagues in the computer science department:
Michalis Vrigkas and Evangelos Kazakos, who contributed significantly throughout the …