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ORCIDMachine Learning and Knowledge Extraction, Volume 1
Volume 1, Number 1, March 2019
- Andreas Holzinger
:
Introduction to MAchine Learning & Knowledge Extraction (MAKE). 1-20 - Anestis Fachantidis, Matthew E. Taylor, Ioannis P. Vlahavas:
Learning to Teach Reinforcement Learning Agents. 21-42 - Hirokazu Madokoro, Kazuhito Sato, Nobuhiro Shimoi:
Category Maps Describe Driving Episodes Recorded with Event Data Recorders. 43-63 - Devin Joseph Frey, Avdesh Mishra, Md. Tamjidul Hoque, Mahdi Abdelguerfi, Thomas Soniat:
A Machine Learning Approach to Determine Oyster Vessel Behavior. 64-74 - Sparsh Mittal:
A Survey of ReRAM-Based Architectures for Processing-In-Memory and Neural Networks. 75-114 - Massimo Ferri:
Why Topology for Machine Learning and Knowledge Extraction? 115-120 - Giuliano Armano, Alessandro Giuliani, Ursula Neumann, Nikolas Rothe, Dominik Heider:
Phi-Delta-Diagrams: Software Implementation of a Visual Tool for Assessing Classifier and Feature Performance. 121-137 - Frank Emmert-Streib, Matthias Dehmer:
Inference of Genome-Scale Gene Regulatory Networks: Are There Differences in Biological and Clinical Validations? 138-148 - Frank Emmert-Streib, Matthias Dehmer:
A Machine Learning Perspective on Personalized Medicine: An Automized, Comprehensive Knowledge Base with Ontology for Pattern Recognition. 149-156 - Saptarshi Sengupta, Sanchita Basak, Richard A. Peters:
Particle Swarm Optimization: A Survey of Historical and Recent Developments with Hybridization Perspectives. 157-191 - Adrien Chan-Hon-Tong:
An Algorithm for Generating Invisible Data Poisoning Using Adversarial Noise That Breaks Image Classification Deep Learning. 192-204 - Aliyu Musa, Matthias Dehmer, Olli Yli-Harja, Frank Emmert-Streib:
Exploiting Genomic Relations in Big Data Repositories by Graph-Based Search Methods. 205-210 - Pablo Gamallo:
Using the Outlier Detection Task to Evaluate Distributional Semantic Models. 211-223 - Donia Gamal, Marco Alfonse, El-Sayed M. El-Horbaty, Abdel-Badeeh M. Salem:
Analysis of Machine Learning Algorithms for Opinion Mining in Different Domains. 224-234 - Frank Emmert-Streib, Matthias Dehmer:
Defining Data Science by a Data-Driven Quantification of the Community. 235-251 - Anna Guitart, Pei Pei Chen, África Periáñez:
The Winning Solution to the IEEE CIG 2017 Game Data Mining Competition. 252-264 - Wondimu K. Zegeye, Richard A. Dean, Farzad Moazzami:
Multi-Layer Hidden Markov Model Based Intrusion Detection System. 265-286 - Harsh V. P. Singh, Qusay H. Mahmoud:
Evaluation of ARIMA Models for Human-Machine Interface State Sequence Prediction. 287-311 - Meike Nauta, Doina Bucur, Christin Seifert:
Causal Discovery with Attention-Based Convolutional Neural Networks. 312-340 - Guoqing Chao, Yuan Luo, Weiping Ding:
Recent Advances in Supervised Dimension Reduction: A Survey. 341-358 - Frank Emmert-Streib, Matthias Dehmer:
High-Dimensional LASSO-Based Computational Regression Models: Regularization, Shrinkage, and Selection. 359-383 - Thaís Justi de Toledo, Nunzio Marco Torrisi:
Encrypted DNP3 Traffic Classification Using Supervised Machine Learning Algorithms. 384-399 - Dragan Gamberger, Tjasa Stare, Dragana Miljkovic, Kristina Gruden, Nada Lavrac:
Discovery of Relevant Response in Infected Potato Plants from Time Series of Gene Expression Data. 400-413 - Fedor Krasnov, Anastasiia Sen:
The Number of Topics Optimization: Clustering Approach. 416-426 - Patrícia Espinheira, Luana da Silva, Alisson Silva, Raydonal Ospina:
Model Selection Criteria on Beta Regression for Machine Learning. 427-449 - Abhishek Sehgal, Nasser Kehtarnavaz:
Guidelines and Benchmarks for Deployment of Deep Learning Models on Smartphones as Real-Time Apps. 450-465 - Vinícius Jonathan Silva Araújo, Augusto Junio Guimarães, Paulo Vitor de Campos Souza, Thiago Silva Rezende, Vanessa Souza Araújo:
Using Resistin, Glucose, Age and BMI and Pruning Fuzzy Neural Network for the Construction of Expert Systems in the Prediction of Breast Cancer. 466-482 - Makhamisa Senekane:
Differentially Private Image Classification Using Support Vector Machine and Differential Privacy. 483-491 - Ioannis E. Livieris, Emmanuel Pintelas, Panagiotis E. Pintelas:
Gender Recognition by Voice using an Improved Self-Labeled Algorithm. 492-503 - Parashar Dhakal, Praveen Damacharla, Ahmad Y. Javaid, Vijay Kumar Devabhaktuni:
A Near Real-Time Automatic Speaker Recognition Architecture for Voice-Based User Interface. 504-520 - Frank Emmert-Streib, Matthias Dehmer:
Evaluation of Regression Models: Model Assessment, Model Selection and Generalization Error. 521-551
Volume 1, Number 2, June 2019
- Yousef Azabi, Al Savvaris, Timoleon Kipouros:
Artificial Intelligence to Enhance Aerodynamic Shape Optimisation of the Aegis UAV. 552-574 - Blaz Skrlj, Jan Kralj, Nada Lavrac, Senja Pollak:
Towards Robust Text Classification with Semantics-Aware Recurrent Neural Architecture. 575-589 - Zohreh Akbari, Rainer Unland:
A Novel Heterogeneous Swarm Reinforcement Learning Method for Sequential Decision Making Problems. 590-610 - Muhammad Asif Manzoor, Yasser L. Morgan, Abdul Bais:
Real-Time Vehicle Make and Model Recognition System. 611-629 - Gard B. Jenset, Barbara McGillivray:
Enhancing Domain-Specific Supervised Natural Language Intent Classification with a Top-Down Selective Ensemble Model. 630-640 - Jeniffer Duarte Sanchez, Leandro Chaves Rêgo, Raydonal Ospina:
Prediction by Empirical Similarity via Categorical Regressors. 641-652 - Frank Emmert-Streib, Matthias Dehmer:
Large-Scale Simultaneous Inference with Hypothesis Testing: Multiple Testing Procedures in Practice. 653-683 - Mario Manzo, Alessandro Rozza:
DOPSIE: Deep-Order Proximity and Structural Information Embedding. 684-697 - Stephen W. Carden, S. Dalton Walker:
Exploration Using Without-Replacement Sampling of Actions Is Sometimes Inferior. 698-714 - Oliver Chikumbo, Vincent Granville:
Optimal Clustering and Cluster Identity in Understanding High-Dimensional Data Spaces with Tightly Distributed Points. 715-744 - Jiye Zeng, Zheng-Hong Tan, Tsuneo Matsunaga, Tomoko Shirai:
Generalization of Parameter Selection of SVM and LS-SVM for Regression. 745-755
Volume 1, Number 3, September 2019
- Haoran Wei, Nasser Kehtarnavaz:
Semi-Supervised Faster RCNN-Based Person Detection and Load Classification for Far Field Video Surveillance. 756-767 - Badreddine Ben Nouma, Amar Mitiche, Youssef Ouakrim, Neila Mezghani:
Pattern Classification by the Hotelling Statistic and Application to Knee Osteoarthritis Kinematic Signals. 768-784 - Mario Manzo:
Graph-Based Image Matching for Indoor Localization. 785-804 - Dirk Tasche:
Confidence Intervals for Class Prevalences under Prior Probability Shift. 805-831 - Maryem Rhanoui, Mounia Mikram, Siham Yousfi, Soukaina Barzali:
A CNN-BiLSTM Model for Document-Level Sentiment Analysis. 832-847 - Ognjen Arandjelovic:
Targeted Adaptable Sample for Accurate and Efficient Quantile Estimation in Non-Stationary Data Streams. 848-870 - Mario Manzo, Simone Pellino:
Bag of ARSRG Words (BoAW). 871-882 - Daulet Baimukashev, Alikhan Zhilisbayev, Askat Kuzdeuov, Artemiy Oleinikov, Denis Fadeyev, Zhanat Makhataeva, Huseyin Atakan Varol:
Deep Learning Based Object Recognition Using Physically-Realistic Synthetic Depth Scenes. 883-903 - Usman Zahidi, Ayan Chatterjee, Peter W. T. Yuen:
A Radiative Transfer Model-Based Multi-Layered Regression Learning to Estimate Shadow Map in Hyperspectral Images. 904-927 - Nicholas Ampazis, Theodoros Emmanouilidis, Flora Sakketou:
A Matrix Factorization Algorithm for Efficient Recommendations in Social Rating Networks Using Constrained Optimization. 928-944 - Frank Emmert-Streib, Matthias Dehmer:
Understanding Statistical Hypothesis Testing: The Logic of Statistical Inference. 945-961 - Mario Manzo:
KGEARSRG: Kernel Graph Embedding on Attributed Relational SIFT-Based Regions Graph. 962-973 - Clayton Miller:
More Buildings Make More Generalizable Models - Benchmarking Prediction Methods on Open Electrical Meter Data. 974-993 - Ana L. Sousa, Tiago Pinto Ribeiro, Susana Relvas, Ana Barbosa-Póvoa:
Using Machine Learning for Enhancing the Understanding of Bullwhip Effect in the Oil and Gas Industry. 994-1012 - Frank Emmert-Streib, Matthias Dehmer:
Introduction to Survival Analysis in Practice. 1013-1038
Volume 1, Number 4, December 2019
- Lili Zhu, Petros Spachos:
Towards Image Classification with Machine Learning Methodologies for Smartphones. 1039-1057 - Carl Leake, Hunter Johnston, Lidia Smith, Daniele Mortari:
Analytically Embedding Differential Equation Constraints into Least Squares Support Vector Machines Using the Theory of Functional Connections. 1058-1083 - Luyun Gan, Brosnan Yuen, Tao Lu:
Multi-Label Classification with Optimal Thresholding for Multi-Composition Spectroscopic Analysis. 1084-1099 - Kotaro Nakano, Basabi Chakraborty:
Effect of Data Representation for Time Series Classification - A Comparative Study and a New Proposal. 1100-1120
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