default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID4th LOD 2018: Volterra, Italy
- Giuseppe Nicosia, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton, Vincenzo Sciacca:
Machine Learning, Optimization, and Data Science - 4th International Conference, LOD 2018, Volterra, Italy, September 13-16, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11331, Springer 2019, ISBN 978-3-030-13708-3 - Andrea Patanè, Marta Kwiatkowska:
Calibrating the Classifier: Siamese Neural Network Architecture for End-to-End Arousal Recognition from ECG. 1-13 - Sergio Decherchi, Andrea Cavalli
:
Simple Learning with a Teacher via Biased Regularized Least Squares. 14-25 - Alessio Petrozziello, Ivan Jordanov:
Feature Based Multivariate Data Imputation. 26-37 - David Sotelo, Daniela Velásquez, Carlos Cobos, Martha Mendoza, Luís Gómez:
Optimization of Neural Network Training with ELM Based on the Iterative Hybridization of Differential Evolution with Local Search and Restarts. 38-50 - Mateusz Pawluk, Pawel Teisseyre, Jan Mielniczuk:
Information-Theoretic Feature Selection Using High-Order Interactions. 51-63 - Sebastián Vivas, Carlos Cobos, Martha Mendoza:
Covering Arrays to Support the Process of Feature Selection in the Random Forest Classifier. 64-76 - Reza Shahbazian, Lucio Grandinetti, Francesca Guerriero:
A New Distributed and Decentralized Stochastic Optimization Algorithm with Applications in Big Data Analytics. 77-91 - Ahmad Mazyad, Fabien Teytaud, Cyril Fonlupt:
Generating Term Weighting Schemes Through Genetic Programming. 92-103 - Jussi Hakanen, Jose Malmberg, Vesa Ojalehto, Kyle Eyvindson:
Data-Driven Interactive Multiobjective Optimization Using a Cluster-Based Surrogate in a Discrete Decision Space. 104-115 - Jing Lu:
Data Science in the Business Environment: Skills Analytics for Curriculum Development. 116-128 - Victor Gergel, Vladimir A. Grishagin, Ruslan Israfilov:
Adaptive Dimensionality Reduction in Multiobjective Optimization with Multiextremal Criteria. 129-140 - Zekarias T. Kefato, Nasrullah Sheikh, Alberto Montresor:
REFINE: Representation Learning from Diffusion Events. 141-153 - Danny D'Agostino, Andrea Serani, Emilio Fortunato Campana, Matteo Diez:
Augmented Design-Space Exploration by Nonlinear Dimensionality Reduction Methods. 154-165 - Pierangela Bruno, Francesco Calimeri, Aldo Marzullo:
Classification and Survival Prediction in Diffuse Large B-Cell Lymphoma by Gene Expression Profiling. 166-178 - Margarida Sousa, Alexandra M. Carvalho:
Learning Consistent Tree-Augmented Dynamic Bayesian Networks. 179-190 - Roy de Winter, Bas van Stein, Matthys Dijkman, Thomas Bäck:
Designing Ships Using Constrained Multi-objective Efficient Global Optimization. 191-203 - Fatimah A. Almulhim, Peter A. Thwaites, Charles C. Taylor:
A New Approach to Measuring Distances in Dense Graphs. 204-216 - Christine Sinoquet, Clément Niel:
Ant Colony Optimization for Markov Blanket-Based Feature Selection. Application for Precision Medicine. 217-230 - Stéphane Chrétien, Christophe Guyeux, Zhen-Wai Olivier Ho:
Average Performance Analysis of the Stochastic Gradient Method for Online PCA. 231-242 - Telmo Matos, Fábio Maia, Dorabela Gamboa:
Improving Traditional Dual Ascent Algorithm for the Uncapacitated Multiple Allocation Hub Location Problem: A RAMP Approach. 243-253 - Eva Jabbar, Philippe C. Besse, Jean-Michel Loubes, Nathalie Barbosa Roa, Christophe Merle, Rémi Dettai:
Supervised Learning Approach for Surface-Mount Device Production. 254-263 - Andrea Asperti, Daniele Cortesi, Francesco Sovrano:
Crawling in Rogue's Dungeons with (Partitioned) A3C. 264-275 - Yagiz Nalçakan, Tolga Ensari:
Decision of Neural Networks Hyperparameters with a Population-Based Algorithm. 276-281 - José Rigoberto Gabriel-Argüelles, Martha Lorena Avendaño-Garrido, Luis Antonio Montero, Juan González-Hernández:
Strong Duality of the Kantorovich-Rubinstein Mass Transshipment Problem in Metric Spaces. 282-292 - Marijn van Knippenberg, Vlado Menkovski, Sergio Consoli:
Evolutionary Construction of Convolutional Neural Networks. 293-304 - Sergio Consoli, Monique Hendriks, Pieter C. Vos, Jacek Kustra, Dimitrios Mavroeidis, Ralf Hoffmann:
Improving Clinical Subjects Clustering by Learning and Optimizing Feature Weights. 305-316 - Subhradeep Kayal, Zubair Afzal, George Tsatsaronis, Marius A. Doornenbal, Sophia Katrenko, Michelle Gregory:
A Framework to Automatically Extract Funding Information from Text. 317-328 - Tobias Glasmachers, Sahar Qaadan:
Speeding Up Budgeted Stochastic Gradient Descent SVM Training with Precomputed Golden Section Search. 329-340 - Daniel N. Nissani:
An Unsupervised Learning Classifier with Competitive Error Performance. 341-356 - Mathias Bourel, Eduardo A. Canale, Franco Robledo, Pablo Romero, Luis Stábile:
A GRASP/VND Heuristic for the Max Cut-Clique Problem. 357-367 - Ping Qiao, Yizhong Wu, Qi Zhang:
A Modelica-Based Simulation Method for Black-Box Optimal Control Problems with Level-Set Dynamic Programming. 368-380 - Emmanouela Rapanaki, Iraklis-Dimitrios Psychas, Magdalene Marinaki, Yannis Marinakis, Athanasios Migdalas:
A Clonal Selection Algorithm for Multiobjective Energy Reduction Multi-Depot Vehicle Routing Problem. 381-393 - Rui Claro, José Portêlo, Miguel L. Pardal, Raquel Pinho:
Big Data Privacy by Design Computation Platform. 394-405 - Alessandro Renda, Marco Barsacchi, Alessio Bechini, Francesco Marcelloni:
Assessing Accuracy of Ensemble Learning for Facial Expression Recognition with CNNs. 406-417 - Robinson Duque, Alejandro Arbelaez, Juan Francisco Díaz:
Processing Online SAT Instances with Waiting Time Constraints and Completion Weights. 418-430 - Eunice Carrasquinha, André Veríssimo, Marta B. Lopes, Susana Vinga:
Variable Selection and Outlier Detection in Regularized Survival Models: Application to Melanoma Gene Expression Data. 431-440 - Evgeniy M. Ozhegov, Daria Teterina:
Methods of Machine Learning for Censored Demand Prediction. 441-446 - Christian Sánchez-Sánchez, Leonid B. Sheremetov:
N-Gram Representation for Web Service Description Classification. 447-459 - Peng Shi, Dario Landa-Silva:
Lookahead Policy and Genetic Algorithm for Solving Nurse Rostering Problems. 460-471 - Hessel Tuinhof, Clemens Pirker, Markus Haltmeier:
Image-Based Fashion Product Recommendation with Deep Learning. 472-481 - Jia He, Maggie X. Cheng, Yixin Fang, Mariesa L. Crow:
A Machine Learning Approach for Line Outage Identification in Power Systems. 482-493 - Radhika Nath, M. Manjunathaiah:
Sparse Feature Extraction Model with Independent Subspace Analysis. 494-505 - Alberto Castellini, Giuditta Franco:
Bayesian Clustering of Multivariate Immunological Data. 506-519 - Balasubramaniam Thirunavukarasu, Richi Nayak, Chau Yuen:
Nonnegative Coupled Matrix Tensor Factorization for Smart City Spatiotemporal Pattern Mining. 520-532 - Paul Feliot, Julien Bect, Emmanuel Vázquez:
User Preferences in Bayesian Multi-objective Optimization: The Expected Weighted Hypervolume Improvement Criterion. 533-544 - Manuel Schneckenreither, Stefan Haeussler:
Reinforcement Learning Methods for Operations Research Applications: The Order Release Problem. 545-559
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-03-12 23:20 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
