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ORCID5th LOD 2019: Siena, Italy
- Giuseppe Nicosia, Panos M. Pardalos
, Renato Umeton, Giovanni Giuffrida, Vincenzo Sciacca:
Machine Learning, Optimization, and Data Science - 5th International Conference, LOD 2019, Siena, Italy, September 10-13, 2019, Proceedings. Lecture Notes in Computer Science 11943, Springer 2019, ISBN 978-3-030-37598-0 - Sean Tao:
Deep Neural Network Ensembles. 1-12 - Shokoufeh Monjezi Kouchak, Ashraf Gaffar:
Driver Distraction Detection Using Deep Neural Network. 13-23 - Vittorio Mazzia, Angelo Tartaglia, Marcello Chiaberge, Dario Gandini:
Deep Learning Algorithms for Complex Pattern Recognition in Ultrasonic Sensors Arrays. 24-35 - Zahra Sadeghi:
An Information Analysis Approach into Feature Understanding of Convolutional Deep Neural Networks. 36-44 - Patrik Reizinger, Bálint Gyires-Tóth:
Stochastic Weight Matrix-Based Regularization Methods for Deep Neural Networks. 45-57 - Valentina Ghidini, Alan Perotti, Rossano Schifanella:
Quantitative and Ontology-Based Comparison of Explanations for Image Classification. 58-70 - Andrea Asperti:
About Generative Aspects of Variational Autoencoders. 71-82 - Ram B. Gurung:
Adapted Random Survival Forest for Histograms to Analyze NOx Sensor Failure in Heavy Trucks. 83-94 - Stéphane Chrétien, Zhen-Wai Olivier Ho:
Incoherent Submatrix Selection via Approximate Independence Sets in Scalar Product Graphs. 95-105 - Gail Gilboa-Freedman, Alon Patelsky, Tal Sheldon:
LIA: A Label-Independent Algorithm for Feature Selection for Supervised Learning. 106-117 - Dave McEwan, José L. Núñez-Yáñez:
Relationship Estimation Metrics for Binary SoC Data. 118-129 - Aljohara Almulhim, Vachik S. Dave, Mohammad Al Hasan:
Network Alignment Using Graphlet Signature and High Order Proximity. 130-142 - Abbas Haider, Hui Wang, Bryan W. Scotney, Glenn I. Hawe:
Effect of Market Spread Over Reinforcement Learning Based Market Maker. 143-153 - Marko Djukanovic, Günther R. Raidl, Christian Blum:
A Beam Search for the Longest Common Subsequence Problem Guided by a Novel Approximate Expected Length Calculation. 154-167 - Yannis Marinakis, Magdalene Marinaki:
An Adaptive Parameter Free Particle Swarm Optimization Algorithm for the Permutation Flowshop Scheduling Problem. 168-179 - Yuriy Mikheev:
The Measure of Regular Relations Recognition Applied to the Supervised Classification Task. 180-191 - Jamolbek Mattiev, Branko Kavsek:
Simple and Accurate Classification Method Based on Class Association Rules Performs Well on Well-Known Datasets. 192-204 - Clint P. George, Wei Xia, George Michailidis:
Analyses of Multi-collection Corpora via Compound Topic Modeling. 205-218 - Elaheh Sobhani, Pierre Comon, Christian Jutten, Massoud Babaie-Zadeh:
Text Mining with Constrained Tensor Decomposition. 219-231 - Gianluca Bontempi:
The Induction Problem: A Machine Learning Vindication Argument. 232-243 - David Nadler Prata, Marcelo Lisboa Rocha, Leandro O. Ferreira, Rogério Nogueira:
Geospatial Dimension in Association Rule Mining: The Case Study of the Amazon Charcoal Tree. 244-258 - Robert A. Klopotek, Mieczyslaw A. Klopotek:
On Probabilistic k-Richness of the k-Means Algorithms. 259-271 - Christoph Lohrmann, Pasi Luukka:
Using Clustering for Supervised Feature Selection to Detect Relevant Features. 272-283 - Vladimir Shenmaier:
A Structural Theorem for Center-Based Clustering in High-Dimensional Euclidean Space. 284-295 - Anastasia Stepanova, Sergei V. Mironov, Sergei P. Sidorov, Alexey Faizliev:
Modification of the k-MXT Algorithm and Its Application to the Geotagged Data Clustering. 296-307 - Rishabh Agrawal, Paridhi Kothari:
CoPASample: A Heuristics Based Covariance Preserving Data Augmentation. 308-320 - Mustafa Misir:
Active Matrix Completion for Algorithm Selection. 321-334 - Zelda B. Zabinsky, Giulia Pedrielli, Hao Huang:
A Framework for Multi-fidelity Modeling in Global Optimization Approaches. 335-346 - Jaqueline S. Angelo, Eduardo Krempser, Helio J. C. Barbosa:
Performance Evaluation of Local Surrogate Models in Bilevel Optimization. 347-359 - Apostol Vassilev:
BowTie - A Deep Learning Feedforward Neural Network for Sentiment Analysis. 360-371 - A. J. Beaumont, T. Al-Shaghdari:
To What Extent Can Text Classification Help with Making Inferences About Students' Understanding. 372-383 - Giorgio Sartor, Carlo Mannino, Lukas Bach:
Combinatorial Learning in Traffic Management. 384-395 - José Eduardo Henriques da Silva, Lucas Augusto Müller de Souza, Heder Soares Bernardino:
Cartesian Genetic Programming with Guided and Single Active Mutations for Designing Combinational Logic Circuits. 396-408 - Cristina Mayr, Claudio E. Risso, Eduardo Grampín:
Designing an Optimal and Resilient iBGP Overlay with Extended ORRTD. 409-421 - Nicole Rosenstock, Juan Piccini, Guillermo Rela, Franco Robledo, Pablo Romero:
GRASP Heuristics for the Stochastic Weighted Graph Fragmentation Problem. 422-433 - Guillermo Rela, Franco Robledo, Pablo Romero:
Uniformly Most-Reliable Graphs and Antiholes. 434-444 - Nikolaus Frohner, Günther R. Raidl:
Merging Quality Estimation for Binary Decision Diagrams with Binary Classifiers. 445-457 - Pei-Li Wang, George Michailidis:
Directed Acyclic Graph Reconstruction Leveraging Prior Partial Ordering Information. 458-471 - Toshimitsu Aritake, Noboru Murata:
Learning Scale and Shift-Invariant Dictionary for Sparse Representation. 472-483 - Hong-Bo Xie, Caoyuan Li, Richard Yi Da Xu, Kerrie L. Mengersen:
Robust Kernelized Bayesian Matrix Factorization for Video Background/Foreground Separation. 484-495 - Li-Chia Yeh, Chung-Chin Lu:
Parameter Optimization of Polynomial Kernel SVM from miniCV. 496-507 - Fabio Fabris, Alex Alves Freitas:
Analysing the Overfit of the Auto-sklearn Automated Machine Learning Tool. 508-520 - Marius Geitle, Roland Olsson:
A New Baseline for Automated Hyper-Parameter Optimization. 521-530 - Giorgio Gnecco, Federico Nutarelli:
Optimal Trade-Off Between Sample Size and Precision of Supervision for the Fixed Effects Panel Data Model. 531-542 - Rafael M. Moraes, Anasse Bari, Jiachen Zhu:
Restaurant Health Inspections and Crime Statistics Predict the Real Estate Market in New York City. 543-552 - Federico Bianchi, Alberto Castellini, Pietro Tarocco, Alessandro Farinelli:
Load Forecasting in District Heating Networks: Model Comparison on a Real-World Case Study. 553-565 - Carola Gajek, Alexander Schiendorfer, Wolfgang Reif:
A Chained Neural Network Model for Photovoltaic Power Forecast. 566-578 - Tinkle Chugh, Alma A. M. Rahat, Pramudita Satria Palar:
Trading-off Data Fit and Complexity in Training Gaussian Processes with Multiple Kernels. 579-591 - Leandro S. Lima, Heder S. Bernardino, Helio J. C. Barbosa:
Designing Combinational Circuits Using a Multi-objective Cartesian Genetic Programming with Adaptive Population Size. 592-604 - Deyan Dyankov, Salvatore Danilo Riccio, Giuseppe Di Fatta, Giuseppe Nicosia:
Multi-task Learning by Pareto Optimality. 605-618 - Rosario Delgado, J. David Núñez-González, J. Carlos Yébenes, Ángel Lavado:
Vital Prognosis of Patients in Intensive Care Units Using an Ensemble of Bayesian Classifiers. 619-630 - Marta B. Lopes, André Veríssimo, Eunice Carrasquinha, Susana Vinga:
On the Role of Hub and Orphan Genes in the Diagnosis of Breast Invasive Carcinoma. 631-642 - Thomas Philip Runarsson:
Approximating Probabilistic Constraints for Surgery Scheduling Using Neural Networks. 643-654 - Ami Tavory:
Determining Principal Component Cardinality Through the Principle of Minimum Description Length. 655-666 - Erik Berglund:
Modelling Chaotic Time Series Using Recursive Deep Self-organising Neural Networks. 667-675 - Stéphan Clémençon, Robin Vogel:
On Tree-Based Methods for Similarity Learning. 676-688 - Stefano De Blasi:
Active Learning Approach for Safe Process Parameter Tuning. 689-699 - Anders Sjöberg, Emil Gustavsson, Ashok Chaitanya Koppisetty, Mats Jirstrand:
Federated Learning of Deep Neural Decision Forests. 700-710 - Eva Jabbar, Philippe C. Besse, Jean-Michel Loubes, Christophe Merle:
Conditional Anomaly Detection for Quality and Productivity Improvement of Electronics Manufacturing Systems. 711-724 - David Nizar Jaidan, Maxime Carrere, Zakaria Chemli, Rémi Poisvert:
Data Anonymization for Privacy Aware Machine Learning. 725-737 - Thomas Jatschka, Tobias Rodemann, Günther R. Raidl:
Exploiting Similar Behavior of Users in a Cooperative Optimization Approach for Distributing Service Points in Mobility Applications. 738-750 - Sergi Mus, Norma Gutiérrez, Rubén Tous, Beatriz Otero, Leonel Cruz, David Llácer, Leonardo Alvarado, Otilio Rojas:
Long Short-Term Memory Networks for Earthquake Detection in Venezuelan Regions. 751-754 - Jonatan Poveda, Rubén Tous:
Zero-Shot Fashion Products Clustering on Social Image Streams. 755-758 - Andreas Griewank, Angel Rojas:
Treating Artificial Neural Net Training as a Nonsmooth Global Optimization Problem. 759-770
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