1 | -- | 20 | Andreas Holzinger. Introduction to MAchine Learning & Knowledge Extraction (MAKE) |
21 | -- | 42 | Anestis Fachantidis, Matthew E. Taylor, Ioannis P. Vlahavas. Learning to Teach Reinforcement Learning Agents |
43 | -- | 63 | Hirokazu Madokoro, Kazuhito Sato, Nobuhiro Shimoi. Category Maps Describe Driving Episodes Recorded with Event Data Recorders |
64 | -- | 74 | Devin Joseph Frey, Avdesh Mishra, Md. Tamjidul Hoque, Mahdi Abdelguerfi, Thomas Soniat. A Machine Learning Approach to Determine Oyster Vessel Behavior |
75 | -- | 114 | Sparsh Mittal. A Survey of ReRAM-Based Architectures for Processing-In-Memory and Neural Networks |
115 | -- | 120 | Massimo Ferri. Why Topology for Machine Learning and Knowledge Extraction? |
121 | -- | 137 | 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 |
138 | -- | 148 | Frank Emmert-Streib, Matthias Dehmer. Inference of Genome-Scale Gene Regulatory Networks: Are There Differences in Biological and Clinical Validations? |
149 | -- | 156 | Frank Emmert-Streib, Matthias Dehmer. A Machine Learning Perspective on Personalized Medicine: An Automized, Comprehensive Knowledge Base with Ontology for Pattern Recognition |
157 | -- | 191 | Saptarshi Sengupta, Sanchita Basak, Richard A. Peters. Particle Swarm Optimization: A Survey of Historical and Recent Developments with Hybridization Perspectives |
192 | -- | 204 | Adrien Chan-Hon-Tong. An Algorithm for Generating Invisible Data Poisoning Using Adversarial Noise That Breaks Image Classification Deep Learning |
205 | -- | 210 | Aliyu Musa, Matthias Dehmer, Olli Yli-Harja, Frank Emmert-Streib. Exploiting Genomic Relations in Big Data Repositories by Graph-Based Search Methods |
211 | -- | 223 | Pablo Gamallo 0001. Using the Outlier Detection Task to Evaluate Distributional Semantic Models |
224 | -- | 234 | Donia Gamal, Marco Alfonse, El-Sayed M. El-Horbaty, Abdel-Badeeh M. Salem. Analysis of Machine Learning Algorithms for Opinion Mining in Different Domains |
235 | -- | 251 | Frank Emmert-Streib, Matthias Dehmer. Defining Data Science by a Data-Driven Quantification of the Community |
252 | -- | 264 | Anna Guitart, Pei-pei Chen, África Periáñez. The Winning Solution to the IEEE CIG 2017 Game Data Mining Competition |
265 | -- | 286 | Wondimu K. Zegeye, Richard Dean, Farzad Moazzami. Multi-Layer Hidden Markov Model Based Intrusion Detection System |
287 | -- | 311 | Harsh V. P. Singh, Qusay H. Mahmoud. Evaluation of ARIMA Models for Human-Machine Interface State Sequence Prediction |
312 | -- | 340 | Meike Nauta, Doina Bucur, Christin Seifert. Causal Discovery with Attention-Based Convolutional Neural Networks |
341 | -- | 358 | Guoqing Chao, Yuan Luo 0004, Weiping Ding 0001. Recent Advances in Supervised Dimension Reduction: A Survey |
359 | -- | 383 | Frank Emmert-Streib, Matthias Dehmer. High-Dimensional LASSO-Based Computational Regression Models: Regularization, Shrinkage, and Selection |
384 | -- | 399 | Thaís Justi de Toledo, Nunzio Torrisi. Encrypted DNP3 Traffic Classification Using Supervised Machine Learning Algorithms |
400 | -- | 413 | 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 |
416 | -- | 426 | Fedor Krasnov, Anastasiia Sen. The Number of Topics Optimization: Clustering Approach |
427 | -- | 449 | Patrícia Espinheira, Luana da Silva, Alisson Silva, Raydonal Ospina. Model Selection Criteria on Beta Regression for Machine Learning |
450 | -- | 465 | Abhishek Sehgal, Nasser Kehtarnavaz. Guidelines and Benchmarks for Deployment of Deep Learning Models on Smartphones as Real-Time Apps |
466 | -- | 482 | 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 |
483 | -- | 491 | Makhamisa Senekane. Differentially Private Image Classification Using Support Vector Machine and Differential Privacy |
492 | -- | 503 | Ioannis E. Livieris, Emmanuel G. Pintelas, Panagiotis E. Pintelas. Gender Recognition by Voice using an Improved Self-Labeled Algorithm |
504 | -- | 520 | Parashar Dhakal, Praveen Damacharla, Ahmad Y. Javaid, Vijay Devabhaktuni. A Near Real-Time Automatic Speaker Recognition Architecture for Voice-Based User Interface |
521 | -- | 551 | Frank Emmert-Streib, Matthias Dehmer. Evaluation of Regression Models: Model Assessment, Model Selection and Generalization Error |