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ETE: a python Environment for Tree Exploration

Jaime Huerta-Cepas, Joaquín Dopazo, Toni Gabaldón
2010 BMC Bioinformatics  
Results: Here we present the Environment for Tree Exploration (ETE), a python programming toolkit that assists in the automated manipulation, analysis and visualization of hierarchical trees.  ...  Among other features, ETE allows for the independent analysis of tree partitions, has support for the extended newick format, provides an integrated node annotation system and permits to link trees to  ...  Acknowledgements We thank Leonardo Arbiza, François Serra and Marina Marcet-Houben for their valuable comments and for testing the program.  ... 
doi:10.1186/1471-2105-11-24 pmid:20070885 pmcid:PMC2820433 fatcat:4g6bz74wurc4pk4h5rgwi73kau

ETE 3: Reconstruction, Analysis, and Visualization of Phylogenomic Data

Jaime Huerta-Cepas, François Serra, Peer Bork
2016 Molecular biology and evolution  
The Environment for Tree Exploration (ETE) is a computational framework that simplifies the reconstruction, analysis, and visualization of phylogenetic trees and multiple sequence alignments.  ...  The new features include (i) building gene-based and supermatrixbased phylogenies using a single command, (ii) testing and visualizing evolutionary models, (iii) calculating distances between trees of  ...  Acknowledgments We wish to thank Toni Gabald on, Renato Alves, Falk Hildebrand, and Gabriela Aguileta for valuable feedback, as well as the GitHub community for contributions.  ... 
doi:10.1093/molbev/msw046 pmid:26921390 pmcid:PMC4868116 fatcat:bu225g3htzccxo6qo5ijeyeg4e

Employee Salary Prediction using Multi Model Machine Learning Techniques, A Comparative Analysis

Krishna Sai et al., Krishna Sai et al.,, TJPRC
2020 International Journal of Computer Science Engineering and Information Technology Research  
Based on the algorithm performance, a random forest is more efficient than a decision tree. So it is used for deployment.  ...  Generally, job advertisements don't mention the salary for a particular designation.  ...  Deployment using Flask: Flask is a Python-based tool used for developing small scale websites/webpages. Flask is very flexible to make API using python.  ... 
doi:10.24247/ijcseitrdec20209 fatcat:ljm7x6dvifawdde3ziup2qb6q4

Exploring Code Projections as a Tool for Concern Management

Ján Juhár, Liberios Vokorokos
2016 Acta Electrotechnica et Informatica  
In this paper we explore possibilities to use projections as a tool for concern management.  ...  Evolution of Integrated Development Environments (IDEs) brought a possibility to work with the code on several levels and it became possible to alter the presentation of the code without changing the code  ...  A functionally similar concept for language enrichment environment that includes projectional editing is presented in the work of Chodarev et al. [15] .  ... 
doi:10.15546/aeei-2016-0020 fatcat:zmve4jarqzgohp77hns52l5uvq

Academic Performance Prediction in Universities using Ensemble Algorithms, A Literature Review

Ingrid Carolina López Mesa et al., Ingrid Carolina López Mesa et al.,, TJPRC
2020 International Journal of Mechanical and Production Engineering Research and Development  
This document details a literature review regarding machine learning techniques, particularly ensemble algorithms, for the early prediction of academic performance.  ...  affect this parameter, national and international research projects have been carried out to analyze said factors including the intrinsic characteristics of students and external elements related to the environment  ...  ENSEMBLE METHODS FOR ACADEMIC PERFORMANCE PREDICTION However, there has been a progressive increase in the use of ensemble methods, especially over the last five years, to explore the possible causes of  ... 
doi:10.24247/ijmperdoct202080 fatcat:44lfhdp7fzfkraoyi2hgwb7rvm

A Linked List-Based Exact Algorithm for Graph Coloring Problem

Ajay Shukla, Vishal Bharti, Madan Garag
2019 Revue d'intelligence artificielle : Revue des Sciences et Technologies de l'Information  
This research provides a new strategy to find the optimal coloring solution for each type of graphs.  ...  The proposed algorithm was tested on DIMACS benchmark graphs, using Python 3.6.  ...  The authors created a new data structure in which the available colors for the graph represented in the form of a collection of binary search tree.  ... 
doi:10.18280/ria.330304 fatcat:uaykec5v3bbr5kjgo2edzercyy

pypet: A Python Toolkit for Data Management of Parameter Explorations

Robert Meyer, Klaus Obermayer
2016 Frontiers in Neuroinformatics  
pypet (Python parameter exploration toolkit) is a new multi-platform Python toolkit for managing numerical simulations.  ...  Besides these formats, users can easily extend the toolkit to allow customized data types. pypet is a flexible tool suited for both short Python scripts and large scale projects. pypet's various features  ...  Moreover, we want to express our gratitude to Robert Pröpper and Philipp Meier for their advice on Python programming.  ... 
doi:10.3389/fninf.2016.00038 pmid:27610080 pmcid:PMC4996826 fatcat:6sveujis4bhzvjjhg5tg2vhr6y

Le « bien-vivre » (sumaq kawsay) et les pommes de terre paysannes

Ingrid Hall
2019 Anthropologie et Sociétés  
He wrote the Category V Management Guidelines (published in 2002) and was the series editor for the first 12 publications in the WCPA Best Practice Guidelines series.  ...  He is a member of the Category V Task Force of WCPA. He has written and lectured on landscape and now serves on the boards of several major conservation NGOs in the UK.  ...  (Python molurus).  ... 
doi:10.7202/1070155ar fatcat:drrnbcp44vglnf3jd4sy42wd64

BUILDING, VISUALIZING AND EXECUTING DEEP LEARNING MODELS AS DATAFLOW GRAPHS

Gábor KRUPPAI, Department of Information Systems, Faculty of Informatics, ELTE Eotvos Lorand University, Péter LEHOTAY-KÉRY, Attila KISS
2020 Acta Electrotechnica et Informatica  
As a solution for displaying editable program graphs, we created a framework in which data processing related to Python packages can be described and the programs built from them can be visualized and  ...  The operation of deep learning neural networks can also be interpreted in a similar way, in which the input data to be processed is a specific data set and the operations to be performed on the data are  ...  Authors of Toward a Distributed dataflow Platform for the Web of Things (Distributed Node-RED) [10] explored how to extend existing IoT dataflow platforms to create a system suitable for execution on  ... 
doi:10.15546/aeei-2020-0010 fatcat:rwhc57w5arcxjl3iuwwzzpbxh4

PREDICTIVE MODELS FOR SUPPORT OF INCIDENT MANAGEMENT PROCESS IN IT SERVICE MANAGEMENT

Martin Sarnovsky, Juraj Surma
2018 Acta Electrotechnica et Informatica  
We used the incident and related changes database obtained from the IT environment of the Rabobank Group company, which contained information about the processing of the incidents during the incident management  ...  It provides an API for Java, Python and R language [21] .  ...  The first one was to explore the dependency between the CIs which were primarily assigned to the incident by a Service Desk and the CIs, which were actually responsible for the service breakdown (and therefore  ... 
doi:10.15546/aeei-2018-0009 fatcat:bv2jb2mrwjcqfovhustw45aezq

Teske et al. ESM revised from Thermal selection as a driver of marine ecological speciation

Peter R. Teske, Jonathan Sandoval-Castillo, Tirupathi Rao Golla, Arsalan Emami-Khoyi, Mbaye Tine, Sophie Von Der Heyden, Luciano B. Beheregaray
2019 Figshare  
taken from Smit et al  ...  We 120 explored various combinations of maximum or minimum temperature as the environmental 121 variable with covariance factors that included geographic distance, biogeographic boundaries 122 and a combination  ... 
doi:10.6084/m9.figshare.7610966 fatcat:ohrbmgc7qjge7axszl5ifmhbgq

Genetic Algorithm for Mobile Robot Route Planning with Obstacle Avoidance

Konrad K. Kwaśniewski, Zdzisław Gosiewski
2018 Acta Mechanica et Automatica  
The others use intelligent methods such as neural networks or fuzzy logic but their efficiency in a very complex environment is quite low.  ...  Among many problems to solve there is a planet exploration. Now rovers are controlled directly from the Earth, e.g. Opportunity. Missions must be planned on the Earth using simulators.  ...  The simplest way to obtain an obstacle avoidance method is to build a map of environment, mark the obstacles and use one of the path finding graph algorithms, such as Dijkstra algorithm, A* (Kumar et al  ... 
doi:10.2478/ama-2018-0024 fatcat:nra2h67cunavrpadyyydpimgki

Romans d'aventures et RPG : proximité narrative et apport interactif. Darkstone et Dragon Age : Origins

Alice Dionnet, Christophe Gauthier, Marie Puren
2021 Zenodo  
à la représentation de la structure narrative avec Gephi, la structure narrative des RPG étudiés a été rapprochée.  ...  A partir des études des romans d'aventures effectuées par les chercheurs spécialistes de cette littérature, un modèle paradigmatique a été établi, auquel, grâce aux entités nommées, au topic modeling et  ...  () #Boucle for : pour tout élément de la liste for el in liste: #Je transforme i en str car sinon python refuse de l'utiliser comme remplacement i =str(i) #Je remplace mon marqueur par un numéro et une  ... 
doi:10.5281/zenodo.5457830 fatcat:hmvauvxutfafrgy36j7xgawcfm

Effective Collaborative Mapping Based on Mobile Devices

Ivo Pisařovic, David Procházka, Jaromír Landa, Jan Kolomazník, Karel Zídek, Lukáš Franěk
2017 Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis  
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 65(6): 2067 -2072.  ...  Traffic signs, road lanes, trees, lights and many other different object must be regularly maintained.  ...  Acknowledgements This paper is a result of contract research with the ENVIPARTNER company.  ... 
doi:10.11118/actaun201765062067 fatcat:phf6gddfwfha5lwl5ezggaxbvm

Comparison of Classification Methods used in Machine Learning for Dysgraphia Identification

Sarthika Dutt, Et. al.
2021 Turkish Journal of Computer and Mathematics Education  
Dysgraphia is a disorder that affects writing skills. Dysgraphia Identification at an early age of a child's development is a difficult task.  ...  The classification models compared are KNN (K-Nearest Neighbors), Naïve Bayes, Decision tree, Random Forest, SVM (Support Vector Machine) on the Dysgraphia dataset.  ...  Dysgraphia identification for providing learner specific environment in learning is important.  ... 
doi:10.17762/turcomat.v12i11.6142 fatcat:bkhyllu7rrg5hnsmdxhdrzguee
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