MOD

Keyphrases

Publications

volume 10710, 2018

Machine Learning, Optimization, and Big Data - Third International Conference, MOD 2017, Volterra, Italy, September 14-17, 2017, Revised Selected Papers MOD 10710 (2018)

2017

Mingxi Li, Yusuke Tanimura, Hidemoto Nakada
A Quantitative Analysis on Required Network Bandwidth for Large-Scale Parallel Machine Learning. MOD (2017)
Manousos Rigakis, Dimitra Trachanatzi, Magdalene Marinaki, Yannis Marinakis
A Differential Evolution Algorithm to Develop Strategies for the Iterated Prisoner's Dilemma. MOD (2017)
Natalia Castro, Graciela Ferreira, Franco Robledo, Pablo Romero
Graph Fragmentation Problem for Natural Disaster Management. MOD (2017)
Zekarias T. Kefato, Nasrullah Sheikh, Alberto Montresor
Mineral: Multi-modal Network Representation Learning. MOD (2017)
Angelo Lucia, Edward Thomas, Peter A. DiMaggio
On the Explicit Use of Enzyme-Substrate Reactions in Metabolic Pathway Analysis. MOD (2017)
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. MOD (2017)
Stefano Mauceri, Louis Smith, James Sweeney, James McDermott
Subject Recognition Using Wrist-Worn Triaxial Accelerometer Data. MOD (2017)
Francesco Calimeri, Mirco Caracciolo, Aldo Marzullo, Claudio Stamile
BioHIPI: Biomedical Hadoop Image Processing Interface. MOD (2017)
Francesco Bagattini, Paola Cappanera, Fabio Schoen
A Simple and Effective Lagrangian-Based Combinatorial Algorithm for S ^3 3 VMs. MOD (2017)
Sergio Consoli, Jacek Kustra, Pieter C. Vos, Monique Hendriks, Dimitrios Mavroeidis
Improving Support Vector Machines Performance Using Local Search. MOD (2017)
Alexander Senov
Projective Approximation Based Quasi-Newton Methods. MOD (2017)
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. MOD (2017)
Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak
Deep Statistical Comparison Applied on Quality Indicators to Compare Multi-objective Stochastic Optimization Algorithms. MOD (2017)
Gabriel Bayá, Antonio Mauttone, Franco Robledo, Pablo Romero
GRASP Heuristics for a Generalized Capacitated Ring Tree Problem. MOD (2017)
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. MOD (2017)
Stéphane Chrétien, Sébastien Darses
An Elementary Approach to the Problem of Column Selection in a Rectangular Matrix. MOD (2017)
Ogerta Elezaj, Sule Yildirim, Edlira Kalemi
Data-Driven Machine Learning Approach for Predicting Missing Values in Large Data Sets: A Comparison Study. MOD (2017)
Ahmad Mazyad, Fabien Teytaud, Cyril Fonlupt
A Comparative Study on Term Weighting Schemes for Text Classification. MOD (2017)
Olgierd Unold, Radoslaw Tarnawski
A Parallel Framework for Multi-Population Cultural Algorithm and Its Applications in TSP. MOD (2017)
Marco Baioletti, Gabriele Di Bari, Valentina Poggioni, Mirco Tracolli
Can Differential Evolution Be an Efficient Engine to Optimize Neural Networks? MOD (2017)
Ziad Salem, Gerald Radspieler, Karlo Griparic, Thomas Schmickl
Estimating Dynamics of Honeybee Population Densities with Machine Learning Algorithms. MOD (2017)
Peng Shi, Dario Landa-Silva
Approximate Dynamic Programming with Combined Policy Functions for Solving Multi-stage Nurse Rostering Problem. MOD (2017)
Ramses Sala, Niccolò Baldanzini, Marco Pierini
SQG-Differential Evolution for Difficult Optimization Problems under a Tight Function Evaluation Budget. MOD (2017)
Kamer Kaya, S. Ilker Birbil, M. Kaan Öztürk, Amir Gohari
Parallelized Preconditioned Model Building Algorithm for Matrix Factorization. MOD (2017)
Mauro Dell'Amico, Natalia Selini Hadjidimitriou, Thorsten Koch, Milena Petkovic
Forecasting Natural Gas Flows in Large Networks. MOD (2017)
Boris Musarais
AbstractNet: A Generative Model for High Density Inputs. MOD (2017)
Roy Khristopher Bayot, Teresa Gonçalves
Age and Gender Classification of Tweets Using Convolutional Neural Networks. MOD (2017)
Humberto Rocha, Joana Matos Dias
Honey Yield Forecast Using Radial Basis Functions. MOD (2017)
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. MOD (2017)
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. MOD (2017)
Margarita Zaleshina, Alexander Zaleshin, Adriana Galvani
Visual Perception of Mixed Homogeneous Textures in Flying Pigeons. MOD (2017)
Maria João Alves, Carlos Henggeler Antunes
A Differential Evolution Algorithm to Semivectorial Bilevel Problems. MOD (2017)
Khaled Sayed, Cheryl A. Telmer, Adam A. Butchy, Natasa Miskov-Zivanov
Recipes for Translating Big Data Machine Reading to Executable Cellular Signaling Models. MOD (2017)
Cristian Galleguillos, Alina Sîrbu, Zeynep Kiziltan, Özalp Babaoglu, Andrea Borghesi, Thomas Bridi
Data-Driven Job Dispatching in HPC Systems. MOD (2017)
Alice Plebe, Mario Pavone
Multi-objective Genetic Algorithm for Interior Lighting Design. MOD (2017)
Iván Darío López, Cristian Heidelberg Valencia, Juan Carlos Corrales
A Data Mining Tool for Water Uses Classification Based on Multiple Classifier Systems. MOD (2017)
Danny D'Agostino, Andrea Serani, Emilio Fortunato Campana, Matteo Diez
Nonlinear Methods for Design-Space Dimensionality Reduction in Shape Optimization. MOD (2017)
Gregor Ulm, Emil Gustavsson, Mats Jirstrand
Contraction Clustering (Raster) - A Big Data Algorithm for Density-Based Clustering in Constant Memory and Linear Time. MOD (2017)
Reiji Hatsugai, Mary Inaba
Robust Reinforcement Learning with a Stochastic Value Function. MOD (2017)
Christopher Bacher, Günther R. Raidl
Refining Partial Invalidations for Indexed Algebraic Dynamic Programming. MOD (2017)
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. MOD (2017)
Michael Cohen
Intra-feature Random Forest Clustering. MOD (2017)
Beatrice Lazzerini, Francesco Pistolesi
Artificial Bee Colony Optimization to Reallocate Personnel to Tasks Improving Workplace Safety. MOD (2017)
Andrea Serani, Matteo Diez
Dolphin Pod Optimization - A Nature-Inspired Deterministic Algorithm for Simulation-Based Design. MOD (2017)
Guillermo Rela, Franco Robledo, Pablo Romero
Petersen Graph is Uniformly Most-Reliable. MOD (2017)
Jason Adair, Alexander E. I. Brownlee, Fabio Daolio, Gabriela Ochoa
Evolving Training Sets for Improved Transfer Learning in Brain Computer Interfaces. MOD (2017)
Sergei P. Sidorov, Sergei V. Mironov, Michael Pleshakov
Dual Convergence Estimates for a Family of Greedy Algorithms in Banach Spaces. MOD (2017)
Benedikt Klocker, Herbert Fleischner, Günther R. Raidl
Finding Smooth Graphs with Small Independence Numbers. MOD (2017)
Alberto Castellini, Giuditta Franco
Detection of Age-Related Changes in Networks of B Cells by Multivariate Time-Series Analysis. MOD (2017)