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ORCID3rd MOD 2017: Volterra, Italy
- Giuseppe Nicosia, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton:
Machine Learning, Optimization, and Big Data - Third International Conference, MOD 2017, Volterra, Italy, September 14-17, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10710, Springer 2018, ISBN 978-3-319-72925-1 - Khaled Sayed, Cheryl A. Telmer, Adam A. Butchy, Natasa Miskov-Zivanov:
Recipes for Translating Big Data Machine Reading to Executable Cellular Signaling Models. 1-15 - Sergio Consoli
, Jacek Kustra, Pieter C. Vos, Monique Hendriks, Dimitrios Mavroeidis:
Improving Support Vector Machines Performance Using Local Search. 16-28 - Alexander Senov:
Projective Approximation Based Quasi-Newton Methods. 29-40 - Michael Cohen:
Intra-feature Random Forest Clustering. 41-49 - Andrea Serani, Matteo Diez:
Dolphin Pod Optimization - A Nature-Inspired Deterministic Algorithm for Simulation-Based Design. 50-62 - Gregor Ulm, Emil Gustavsson, Mats Jirstrand:
Contraction Clustering (Raster) - A Big Data Algorithm for Density-Based Clustering in Constant Memory and Linear Time. 63-75 - Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak:
Deep Statistical Comparison Applied on Quality Indicators to Compare Multi-objective Stochastic Optimization Algorithms. 76-87 - Angelo Lucia, Edward Thomas, Peter A. DiMaggio:
On the Explicit Use of Enzyme-Substrate Reactions in Metabolic Pathway Analysis. 88-99 - Ahmad Mazyad, Fabien Teytaud, Cyril Fonlupt:
A Comparative Study on Term Weighting Schemes for Text Classification. 100-108 - Sergei P. Sidorov, Sergei V. Mironov, Michael Pleshakov:
Dual Convergence Estimates for a Family of Greedy Algorithms in Banach Spaces. 109-120 - Danny D'Agostino, Andrea Serani, Emilio Fortunato Campana, Matteo Diez:
Nonlinear Methods for Design-Space Dimensionality Reduction in Shape Optimization. 121-132 - Manousos Rigakis, Dimitra Trachanatzi, Magdalene Marinaki, Yannis Marinakis:
A Differential Evolution Algorithm to Develop Strategies for the Iterated Prisoner's Dilemma. 133-145 - Stefano Cagnoni, Paolo Fornacciari, Juxhino Kavaja, Monica Mordonini, Agostino Poggi, Alex Solimeo, Michele Tomaiuolo:
Automatic Creation of a Large and Polished Training Set for Sentiment Analysis on Twitter. 146-157 - Mauro Dell'Amico, Natalia Selini Hadjidimitriou, Thorsten Koch, Milena Petkovic:
Forecasting Natural Gas Flows in Large Networks. 158-171 - Maria João Alves, Carlos Henggeler Antunes:
A Differential Evolution Algorithm to Semivectorial Bilevel Problems. 172-185 - Jason Adair, Alexander E. I. Brownlee, Fabio Daolio, Gabriela Ochoa:
Evolving Training Sets for Improved Transfer Learning in Brain Computer Interfaces. 186-197 - Riccardo Pellegrini, Andrea Serani, Giampaolo Liuzzi, Francesco Rinaldi, Stefano Lucidi, Emilio Fortunato Campana, Umberto Iemma, Matteo Diez:
Hybrid Global/Local Derivative-Free Multi-objective Optimization via Deterministic Particle Swarm with Local Linesearch. 198-209 - Beatrice Lazzerini, Francesco Pistolesi:
Artificial Bee Colony Optimization to Reallocate Personnel to Tasks Improving Workplace Safety. 210-221 - Alice Plebe, Mario Pavone:
Multi-objective Genetic Algorithm for Interior Lighting Design. 222-233 - Stéphane Chrétien, Sébastien Darses:
An Elementary Approach to the Problem of Column Selection in a Rectangular Matrix. 234-243 - Francesco Bagattini, Paola Cappanera, Fabio Schoen:
A Simple and Effective Lagrangian-Based Combinatorial Algorithm for S ^3 3 VMs. 244-254 - Joana Matos Dias, Humberto Rocha, Tiago Ventura, Brigida Costa Ferreira, Maria do Carmo Lopes:
A Heuristic Based on Fuzzy Inference Systems for Multiobjective IMRT Treatment Planning. 255-267 - Ogerta Elezaj, Sule Yildirim, Edlira Kalemi:
Data-Driven Machine Learning Approach for Predicting Missing Values in Large Data Sets: A Comparison Study. 268-285 - Zekarias T. Kefato, Nasrullah Sheikh, Alberto Montresor:
Mineral: Multi-modal Network Representation Learning. 286-298 - Margarita Zaleshina, Alexander Zaleshin, Adriana Galvani:
Visual Perception of Mixed Homogeneous Textures in Flying Pigeons. 299-308 - Ziad Salem, Gerald Radspieler, Karlo Griparic, Thomas Schmickl:
Estimating Dynamics of Honeybee Population Densities with Machine Learning Algorithms. 309-321 - Ramses Sala, Niccolò Baldanzini, Marco Pierini:
SQG-Differential Evolution for Difficult Optimization Problems under a Tight Function Evaluation Budget. 322-336 - Roy Khristopher Bayot, Teresa Gonçalves:
Age and Gender Classification of Tweets Using Convolutional Neural Networks. 337-348 - Peng Shi, Dario Landa-Silva:
Approximate Dynamic Programming with Combined Policy Functions for Solving Multi-stage Nurse Rostering Problem. 349-361 - Iván Darío López, Cristian Heidelberg Valencia, Juan Carlos Corrales:
A Data Mining Tool for Water Uses Classification Based on Multiple Classifier Systems. 362-375 - Kamer Kaya, S. Ilker Birbil, M. Kaan Öztürk, Amir Gohari:
Parallelized Preconditioned Model Building Algorithm for Matrix Factorization. 376-388 - Mingxi Li, Yusuke Tanimura, Hidemoto Nakada:
A Quantitative Analysis on Required Network Bandwidth for Large-Scale Parallel Machine Learning. 389-400 - Marco Baioletti, Gabriele Di Bari, Valentina Poggioni, Mirco Tracolli:
Can Differential Evolution Be an Efficient Engine to Optimize Neural Networks? 401-413 - Chunfeng Ma, Min Kong, Jun Pei, Panos M. Pardalos:
BRKGA-VNS for Parallel-Batching Scheduling on a Single Machine with Step-Deteriorating Jobs and Release Times. 414-425 - Guillermo Rela, Franco Robledo, Pablo Romero:
Petersen Graph is Uniformly Most-Reliable. 426-435 - Gabriel Bayá, Antonio Mauttone, Franco Robledo, Pablo Romero:
GRASP Heuristics for a Generalized Capacitated Ring Tree Problem. 436-448 - Cristian Galleguillos, Alina Sîrbu, Zeynep Kiziltan, Özalp Babaoglu, Andrea Borghesi, Thomas Bridi:
Data-Driven Job Dispatching in HPC Systems. 449-461 - Boris Musarais:
AbstractNet: A Generative Model for High Density Inputs. 462-469 - Olgierd Unold, Radoslaw Tarnawski:
A Parallel Framework for Multi-Population Cultural Algorithm and Its Applications in TSP. 470-482 - Humberto Rocha, Joana Matos Dias:
Honey Yield Forecast Using Radial Basis Functions. 483-495 - Natalia Castro, Graciela Ferreira, Franco Robledo, Pablo Romero:
Graph Fragmentation Problem for Natural Disaster Management. 496-505 - Matthias Horn, Günther R. Raidl, Christian Blum:
Job Sequencing with One Common and Multiple Secondary Resources: A Problem Motivated from Particle Therapy for Cancer Treatment. 506-518 - Reiji Hatsugai, Mary Inaba:
Robust Reinforcement Learning with a Stochastic Value Function. 519-526 - Benedikt Klocker, Herbert Fleischner, Günther R. Raidl:
Finding Smooth Graphs with Small Independence Numbers. 527-539 - Francesco Calimeri, Mirco Caracciolo, Aldo Marzullo, Claudio Stamile:
BioHIPI: Biomedical Hadoop Image Processing Interface. 540-548 - Roberto Aringhieri, Davide Dell'Anna, Davide Duma, Michele Sonnessa:
Evaluating the Dispatching Policies for a Regional Network of Emergency Departments Exploiting Health Care Big Data. 549-561 - Christopher Bacher, Günther R. Raidl:
Refining Partial Invalidations for Indexed Algebraic Dynamic Programming. 562-573 - Stefano Mauceri, Louis Smith, James Sweeney, James McDermott:
Subject Recognition Using Wrist-Worn Triaxial Accelerometer Data. 574-585 - Alberto Castellini, Giuditta Franco:
Detection of Age-Related Changes in Networks of B Cells by Multivariate Time-Series Analysis. 586-597
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