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A System for Personality and Happiness Detection
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2014-03)
This work proposes a platform for estimating personality and happiness. Starting from Eysenck's theory about human's personality, authors seek to provide a platform for collecting text messages from social media (Whatsapp), ...
Recognition of Emotions using Energy Based Bimodal Information Fusion and Correlation
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2014-09)
Multi-sensor information fusion is a rapidly developing research area which forms the backbone of numerous essential technologies such as intelligent robotic control, sensor networks, video and image processing and many ...
Step Characterization using Sensor Information Fusion and Machine Learning
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2015)
A pedestrian inertial navigation system is typically used to suppress the Global Navigation Satellite System limitation to track persons in indoor or in dense environments. However, low- cost inertial systems provide huge ...
OpinAIS: An Artificial Immune System-based Framework for Opinion Mining
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2015)
This paper proposes the design of an evolutionary
algorithm for building classifiers specifically aimed towards
performing classification and sentiment analysis over texts.
Moreover, it has properties taken from Artificial ...
Workforce Optimization for Bank Operation Centers: A Machine Learning Approach
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2017-12)
Online Banking Systems evolved and improved in recent years with the use of mobile and online technologies, performing money transfer transactions on these channels can be done without delay and human interaction, however ...
Development of a Predictive Model for Induction Success of Labour
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2018-03)
Induction of the labour process is an extraordinarily common procedure used in some pregnancies. Obstetricians face the need to end a pregnancy, for medical reasons usually (maternal or fetal requirements) or less frequently, ...
Savana: Re-using Electronic Health Records with Artificial Intelligence
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2018-03)
Health information grows exponentially (doubling every 5 years), thus generating a sort of inflation of science, i.e. the generation of more knowledge than we can leverage. In an unprecedented data-driven shift, today ...
The Combination of Mammography and MRI for Diagnosing Breast Cancer Using Fuzzy NN and SVM
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2017-09)
Breast cancer is one of the common cancers among women so that early diagnosing of it can effectively help its treatment in this study, considering combination of Mammography and MRI pictures, we will try to recognize ...
Machine-Learning-Based No Show Prediction in Outpatient Visits
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2018-03)
A recurring problem in healthcare is the high percentage of patients who miss their appointment, be it a consultation or a hospital test. The present study seeks patient’s behavioural patterns that allow predicting the ...
Big Data and Health Economics: Opportunities, Challenges and Risks
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2018-03)
Big Data offers opportunities in many fields. Healthcare is not an exception. In this paper we summarize the possibilities of Big Data and Big Data technologies to offer useful information to policy makers. In a world with ...