REVISTA

Machine Learning and Knowledge Extraction

ISSN: 2504-4990 Frecuencia: 4 Formato: Electrónica

Tablas de contenido

28 artículos asociados

Volumen 1 Número 1 Parte December Año 2019

Using Resistin, Glucose, Age and BMI and Pruning Fuzzy Neural Network for the Construction of Expert Systems in the Prediction of Breast Cancer	Acceso
Vinícius Jonathan Silva Araújo, Augusto Junio Guimarães, Paulo Vitor de Campos Souza, Thiago Silva Rezende and Vanessa Souza Araújo

Guidelines and Benchmarks for Deployment of Deep Learning Models on Smartphones as Real-Time Apps	Acceso
Abhishek Sehgal and Nasser Kehtarnavaz

Model Selection Criteria on Beta Regression for Machine Learning	Acceso
Patrícia L. Espinheira, Luana C. Meireles da Silva, Alisson de Oliveira Silva and Raydonal Ospina

The Number of Topics Optimization: Clustering Approach	Acceso
Fedor Krasnov and Anastasiia Sen

Acknowledgement to Reviewers of MAKE in 2018	Acceso
MAKE Editorial Office

Discovery of Relevant Response in Infected Potato Plants from Time Series of Gene Expression Data	Acceso
Dragan Gamberger, Tja?a Stare, Dragana Miljkovic, Kristina Gruden and Nada Lavrac

Encrypted DNP3 Traffic Classification Using Supervised Machine Learning Algorithms	Acceso
Thais Rodriguez de Toledo and Nunzio Marco Torrisi

High-Dimensional LASSO-Based Computational Regression Models: Regularization, Shrinkage, and Selection	Acceso
Frank Emmert-Streib and Matthias Dehmer

Recent Advances in Supervised Dimension Reduction: A Survey	Acceso
Guoqing Chao, Yuan Luo and Weiping Ding

Causal Discovery with Attention-Based Convolutional Neural Networks	Acceso
Meike Nauta, Doina Bucur and Christin Seifert

Evaluation of ARIMA Models for Human?Machine Interface State Sequence Prediction	Acceso
Harsh V. P. Singh and Qusay H. Mahmoud

Multi-Layer Hidden Markov Model Based Intrusion Detection System	Acceso
Wondimu K. Zegeye, Richard A. Dean and Farzad Moazzami

The Winning Solution to the IEEE CIG 2017 Game Data Mining Competition	Acceso
Anna Guitart, Pei Pei Chen and África Periáñez

Defining Data Science by a Data-Driven Quantification of the Community	Acceso
Frank Emmert-Streib and Matthias Dehmer

Analysis of Machine Learning Algorithms for Opinion Mining in Different Domains	Acceso
Donia Gamal, Marco Alfonse, El-Sayed M. El-Horbaty and Abdel-Badeeh M. Salem

Using the Outlier Detection Task to Evaluate Distributional Semantic Models	Acceso
Pablo Gamallo

Exploiting Genomic Relations in Big Data Repositories by Graph-Based Search Methods	Acceso
Aliyu Musa, Matthias Dehmer, Olli Yli-Harja and Frank Emmert-Streib

An Algorithm for Generating Invisible Data Poisoning Using Adversarial Noise That Breaks Image Classification Deep Learning	Acceso
Adrien CHAN-HON-TONG

Particle Swarm Optimization: A Survey of Historical and Recent Developments with Hybridization Perspectives	Acceso
Saptarshi Sengupta, Sanchita Basak and Richard Alan Peters II

A Machine Learning Perspective on Personalized Medicine: An Automized, Comprehensive Knowledge Base with Ontology for Pattern Recognition	Acceso
Frank Emmert-Streib and Matthias Dehmer

Inference of Genome-Scale Gene Regulatory Networks: Are There Differences in Biological and Clinical Validations?	Acceso
Frank Emmert-Streib and Matthias Dehmer

Phi-Delta-Diagrams: Software Implementation of a Visual Tool for Assessing Classifier and Feature Performance	Acceso
Giuliano Armano, Alessandro Giuliani, Ursula Neumann, Nikolas Rothe and Dominik Heider

Why Topology for Machine Learning and Knowledge Extraction?	Acceso
Massimo Ferri

A Survey of ReRAM-Based Architectures for Processing-In-Memory and Neural Networks	Acceso
Sparsh Mittal

A Machine Learning Approach to Determine Oyster Vessel Behavior	Acceso
Devin Joseph Frey, Avdesh Mishra, Md Tamjidul Hoque, Mahdi Abdelguerfi and Thomas Soniat

Category Maps Describe Driving Episodes Recorded with Event Data Recorders	Acceso
Hirokazu Madokoro, Kazuhito Sato and Nobuhiro Shimoi

Learning to Teach Reinforcement Learning Agents	Acceso
Anestis Fachantidis, Matthew E. Taylor and Ioannis Vlahavas

Introduction to MAchine Learning & Knowledge Extraction (MAKE)	Acceso
Andreas Holzinger