We introduce an efficient approach for representing a human face using a limited number of images. This compact representation allows for meaningful manipulation of the face. Principal Components Analysis (PCA) utilized in our research makes possible the separation of facial features so as to build statistical shape and texture models. Thus changing the model parameters can create images with d...

This paper describes our participation at tasks 10 (sub-task B, Message Polarity Classification) and 11 task (Sentiment Analysis of Figurative Language in Twitter) of Semeval2015. We describe the Support Vector Machine system we used in this competition. We also present the relevant feature set that we take into account in our models. Finally, we show the results we obtained in this competition...

Article history: Received 29 August 2007 Received in revised form 6 May 2008 Accepted 12 July 2008

In the past decade many new methods were proposed for creating diverse classifiers due to combination. In this paper a new method for constructing an ensemble is proposed which uses clustering technique to generate perturbation in training datasets. Main presumption of this method is that the clustering algorithm used can find the natural groups of data in feature space. During testing, the cla...

This work explores the relationship between the sentiment of lyrics in Billboard Top 100 songs, stocks, and a consumer confidence index. We hypothesized that sentiment of Top 100 songs could be representative of public mood and correlate to stock market changes as well. We analyzed the sentiment for polarity and mood in terms of seven dimensions. We gathered data from 2008 to 2013 and found sta...

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conclusions this study can serve as a fundamental experiment for the construction of a ns3/ns4a eukaryotic expression vector and its expression in mammalian cells. further research is underway to evaluate the fragment immunogenicity in lab animal models. results the results showed that the fragment was successfully amplified and cloned into a eukaryotic expression vector. sequencing and enzyme ...

This paper describes the system we submitted to SemEval-2017 Task 4 (Sentiment Analysis in Twitter), specifically subtasks A, B, and D. Our main focus was topic-based message polarity classification on a two-point scale (subtask B). The system we submitted uses a Support Vector Machine classifier with rich set of features, ranging from standard to more creative, task-specific features, includin...

A significant amount of academic research in criminology focuses on spatial and temporal event analysis. Although several efforts have integrated spatial and temporal analyses, most previous work focuses on the space-time interaction and space-time clustering of criminal events. This research expands previous work in geostatistics and disease clustering by using a Bayesian hierarchical framewor...

This paper describes a study of a protocol and a system for automatic detection and status tracking of early-stage dementia and Mild Cognitive Impairment (MCI), from speech and voice recordings. The research has been performed in the scope of the EU FP7 Dem@Care project. We describe the speech and voice recording protocol, different families of vocal features as derived from the recorded data, ...