In this paper, we provide an approach to learning optimal Bayesian network (BN) structures from incomplete data based on the BIC score function using a mixture model to handle miss- ing values. We have compared the proposed approach with other methods. Our experiments have been conducted on different models, some of them Belief Noisy-Or (BNO) ones....
Published in Journal of Automation, Mobile Robotics and Intelligent Systems
Feature Selection (FS) is an essential research topic in the area of machine learning. FS, which is the process of identifying the relevant features and removing the irrelevant and redundant ones, is meant to deal with high dimensionality problems to select the best performing feature subset. In the literature, many feature selection techniques app...
Published in Environmental science and pollution research international
Groundwater vulnerability assessment systems have been developed to protect groundwater resources. The DRASTIC model calculates the vulnerability index of the aquifer based on seven effective parameters. The application of expert opinion in rating and weighting parameters is the DRASTIC model's major weakness, which increases uncertainty. This stud...
Published in Journal of biomedical informatics
Electronic health records (EHRs) store an extensive array of patient information, encompassing medical histories, diagnoses, treatments, and test outcomes. These records are crucial for enabling healthcare providers to make well-informed decisions regarding patient care. Summarizing clinical notes further assists healthcare professionals in pinpoin...
Published in Slovak Journal of Civil Engineering
The concept of smart cities is gaining momentum with efforts to go greener and be more sustainable along with the growing demand for data-driven policies. The European Union (EU) is highly committed to fostering sustainable urban development through targeted funding programs that encourage innovation, collaboration, and practical solutions for clim...
Background: Epidemiological data regarding thyroid diseases are lacking, in particular for occupationally exposed populations.Objectives: To compare the risk of hypothyroidism and hyperthyroidism between farming activities within the complete population of French farm managers (FMs).Methods: Digital health data from retrospective administrative dat...
Published in International journal of hygiene and environmental health
Drinking water quality data, though regularly monitored, is not available in Germany as national overview, but only decentralized from the water suppliers. On the national level, only the number of limit exceedances are reported. An overview on drinking water qualities as complete as possible however is necessary to assess and develop regulations a...
Published in Journal of nonverbal behavior
A significant body of research has investigated potential correlates of deception and bodily behavior. The vast majority of these studies consider discrete, subjectively coded bodily movements such as specific hand or head gestures. Such studies fail to consider quantitative aspects of body movement such as the precise movement direction, magnitude...
Context: Rainer and Wohlin showed that case studies are not well understood by reviewers and authors and thus they say that a given research is a case study when it is not. Objective: Rainer and Wohlin proposed a smell indicator (inspired by code smells) to identify case studies based on the frequency of occurrences of words, which performed better...
Hyperspectral images (HSIs) contain rich spectral and spatial information. Motivated by the success of transformers in the field of natural language processing and computer vision where they have shown the ability to learn long-range dependencies within input data, recent research has focused on using transformers for HSIs. However, current state-o...
