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Predicting metabolic pathways of plant enzymes without using sequence similarity: Models from machine learning
(2020-01-01)
Most of the bioinformatics tools for enzyme annotation focus on enzymatic function assignments. Sequence similarity to well-characterized enzymes is often used for functional annotation and to assign metabolic pathways. ...
Biological water quality in tropical rivers during dry and rainy seasons: a model-based analysis
(2020)
Recent studies on water quality in tropical rivers indicate substantial differences between seasons. However, investigations on the needs and added value of season-specific models are lacking. Thus, this paper aims to ...
A study of the use of complexity measures in the similarity search process adopted by kNN algorithm for time series prediction
(Institute of Electrical and Electronics Engineers - IEEEMiami, 2015-12)
In the last two decades, with the rise of the Data Mining process, there is an increasing interest in the adaptation of Machine Learning methods to support Time Series non-parametric modeling and prediction. The non-parametric ...
A model-driven method and a tool for developing gesture-based information system interfaces
(CEUR-WS, 2015-06-08)
Considering the technological advances in touch-based devices, gesture-based interaction has become a prevalent feature in many application do-mains. Information systems are starting to explore this type of interaction. ...
Personalized collaborative filtering: a neighborhood model based on contextual constraints
(Association for Computing Machinery - ACMDongguk UniversityGyeongju, 2014-03)
In this paper, we propose a recommender system approach which considers contextual information from users and items in order to improve the accuracy of a neighborhood-based collaborative filtering algorithm. One advantage ...
Competing regression models for longitudinal data
(WILEY-BLACKWELLMALDEN, 2012)
The choice of an appropriate family of linear models for the analysis of longitudinal data is often a matter of concern for practitioners. To attenuate such difficulties, we discuss some issues that emerge when analyzing ...
Competing regression models for longitudinal data
(Wiley-Blackwell, 2012-03-01)
The choice of an appropriate family of linear models for the analysis of longitudinal data is often a matter of concern for practitioners. To attenuate such difficulties, we discuss some issues that emerge when analyzing ...
Calibration of structural cracking models for asphalt pavements: HDM-4 case
(NATL INST SCIENCE COMMUNICATION, 2003)
The HDM-4 (Highway Development Management) models used for pavement management activities must be adapted to specific conditions of the country or region where they are to be used by adjusting certain calibration factors. ...