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ORCID14th LION 2020: Athens, Greece
- Ilias S. Kotsireas
, Panos M. Pardalos:
Learning and Intelligent Optimization - 14th International Conference, LION 14, Athens, Greece, May 24-28, 2020, Revised Selected Papers. Lecture Notes in Computer Science 12096, Springer 2020, ISBN 978-3-030-53551-3 - Youssef Hamadi:
Optimization for Urban Air Mobility. 1-8 - Aldy Gunawan, Audrey Tedja Widjaja, Pieter Vansteenwegen, Vincent F. Yu:
A Matheuristic Algorithm for Solving the Vehicle Routing Problem with Cross-Docking. 9-15 - Antonios Alexos, Serafeim P. Moustakidis, Christos Kokkotis, Dimitrios Tsaopoulos:
Physical Activity as a Risk Factor in the Progression of Osteoarthritis: A Machine Learning Perspective. 16-26 - Michael Yu. Khachay, Yuri Ogorodnikov:
QPTAS for the CVRP with a Moderate Number of Routes in a Metric Space of Any Fixed Doubling Dimension. 27-32 - Annabella Astorino, Rosa Berti, Alessandro Astorino, Vincent Bitonti, Manuel De Marco, Valentina Feraco, Alexei Palumbo, Francesco Porti, Ilario Zannino:
Early Detection of Eating Disorders Through Machine Learning Techniques. 33-39 - Anton V. Eremeev, Mikhail Y. Kovalyov, Artem V. Pyatkin:
On Finding Minimum Cardinality Subset of Vectors with a Constraint on the Sum of Squared Euclidean Pairwise Distances. 40-45 - Konstantin Kobylkin, Irina Dryakhlova:
Practical Approximation Algorithms for Stabbing Special Families of Line Segments with Equal Disks. 46-51 - Tomás Dlask, Tomás Werner:
A Class of Linear Programs Solvable by Coordinate-Wise Minimization. 52-67 - Alexander Y. Krylatov, Anastasiya Raevskaya:
Travel Times Equilibration Procedure for Route-Flow Traffic Assignment Problem. 68-79 - Matthias Carnein, Heike Trautmann, Albert Bifet, Bernhard Pfahringer:
confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms. 80-95 - Sergey A. Khamidullin, Vladimir I. Khandeev, Anna Panasenko:
Randomized Algorithms for Some Sequence Clustering Problems. 96-101 - Meinolf Sellmann, Kevin Tierney:
Hyper-parameterized Dialectic Search for Non-linear Box-Constrained Optimization with Heterogenous Variable Types. 102-116 - Hossein Moosaei, Milan Hladík:
Least Squares K-SVCR Multi-class Classification. 117-127 - Moustapha Cheikh, Mounir Zrigui:
Active Learning Based Framework for Image Captioning Corpus Creation. 128-142 - Flavien Lucas, Romain Billot, Marc Sevaux, Kenneth Sörensen:
Reducing Space Search in Combinatorial Optimization Using Machine Learning Tools. 143-150 - Sara Tari, Lucien Mousin, Julie Jacques, Marie-Eléonore Kessaci, Laetitia Jourdan:
Impact of the Discretization of VOCs for Cancer Prediction Using a Multi-Objective Algorithm. 151-157 - Ömer Faruk Yilmaz:
AUGMECON2 Method for a Bi-objective U-Shaped Assembly Line Balancing Problem. 158-167 - Adil I. Erzin, Roman V. Plotnikov:
Two-Channel Conflict-Free Square Grid Aggregation. 168-183 - Martin Olsen:
Online Stacking Using RL with Positional and Tactical Features. 184-194 - Emmanouil Karantoumanis, Nikolaos Ploskas:
Power Consumption Estimation in Data Centers Using Machine Learning Techniques. 195-200 - Dario Bezzi, Alberto Ceselli, Giovanni Righini:
Automated Tuning of a Column Generation Algorithm. 201-215 - Adil El Mesaoudi-Paul, Dimitri Weiß, Viktor Bengs, Eyke Hüllermeier, Kevin Tierney:
Pool-Based Realtime Algorithm Configuration: A Preselection Bandit Approach. 216-232 - Maxime Pinard, Laurent Moalic, Mathieu Brévilliers, Julien Lepagnot, Lhassane Idoumghar:
A Memetic Approach for the Unicost Set Covering Problem. 233-248 - Nikhil Sathya Kumar, Manoj Ravindra Phirke, Anupriya Jayapal, Vishnu Thangam:
Dynamic Visual Few-Shot Learning Through Parameter Prediction Network. 249-263 - Vinh Thanh Ho, Hoai An Le Thi:
An Alternating DCA-Based Approach for Reduced-Rank Multitask Linear Regression with Covariance Estimation. 264-277 - Malek Sarhani, Stefan Voß:
PSO-Based Cooperative Learning Using Chunking. 278-288 - Alexander A. Lazarev, Darya V. Lemtyuzhnikova, Alexander S. Mandel', Nikolay A. Pravdivets:
The Problem of the Hospital Surgery Department Debottlenecking. 289-302 - Antonio Candelieri, Bruno G. Galuzzi, Ilaria Giordani, Francesco Archetti:
Learning Optimal Control of Water Distribution Networks Through Sequential Model-Based Optimization. 303-315 - Antonio Candelieri, Ilaria Giordani, Riccardo Perego, Francesco Archetti:
Composition of Kernel and Acquisition Functions for High Dimensional Bayesian Optimization. 316-323 - Abtin Nourmohammadzadeh, Stefan Voß:
A Pareto Simulated Annealing for the Integrated Problem of Berth and Quay Crane Scheduling at Maritime Container Terminals with Multiple Objectives and Stochastic Arrival Times of Vessels. 324-340 - Andrea Mariello, Manuel Dalcastagné, Mauro Brunato:
HotelSimu: Simulation-Based Optimization for Hotel Dynamic Pricing. 341-355 - Manuel Dalcastagné:
Heuristic Search Strategies for Noisy Optimization. 356-370 - Valeriy A. Kalyagin, Sergey V. Slashchinin:
Uncertainty of Efficient Frontier in Portfolio Optimization. 371-376 - Gabriele Iommazzo, Claudia D'Ambrosio, Antonio Frangioni, Leo Liberti:
Learning to Configure Mathematical Programming Solvers by Mathematical Programming. 377-389 - Damir N. Gainanov, P. F. Chernavin, V. A. Rasskazova, N. P. Chernavin:
Convex Hulls in Solving Multiclass Pattern Recognition Problem. 390-401 - Mujahid N. Syed:
Least Correntropic Loss Regression. 402-413 - Rafet Sifa, Christian Bauckhage:
Novelty Discovery with Kernel Minimum Enclosing Balls. 414-420 - Rafet Sifa:
DESICOM as Metaheuristic Search. 421-427
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