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ORCID6th LOD 2020: Siena, Italy - Part I
- Giuseppe Nicosia
, Varun Ojha, Emanuele La Malfa, Giorgio Jansen, Vincenzo Sciacca, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton:
Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Siena, Italy, July 19-23, 2020, Revised Selected Papers, Part I. Lecture Notes in Computer Science 12565, Springer 2020, ISBN 978-3-030-64582-3 - Stéphane Chrétien, Benjamin Guedj:
Revisiting Clustering as Matrix Factorisation on the Stiefel Manifold. 1-12 - Filippo Portera:
A Generalized Quadratic Loss for SVM and Deep Neural Networks. 13-24 - Giorgio Gnecco, Stefano Amato, Alessia Patuelli, Nicola Lattanzi:
Machine Learning Application to Family Business Status Classification. 25-36 - Adel Rahimi, Tetiana Kodliuk, Othman Benchekroun:
Using Hessians as a Regularization Technique. 37-40 - Majid Jahani, MohammadReza Nazari, Sergey Rusakov, Albert S. Berahas, Martin Takác:
Scaling Up Quasi-newton Algorithms: Communication Efficient Distributed SR1. 41-54 - Falco J. Bargagli Stoffi, Gustavo Cevolani, Giorgio Gnecco:
Should Simplicity Be Always Preferred to Complexity in Supervised Machine Learning? 55-59 - Stefan Silva, José Crispim:
An Application of Machine Learning to Study Utilities Expenses in the Brazilian Navy. 60-71 - Iulia Igescu:
The Role of Animal Spirit in Monitoring Location Shifts with SVM: Novelties Versus Outliers. 72-82 - Alberto Cenzato, Alberto Testolin, Marco Zorzi:
Long-Term Prediction of Physical Interactions: A Challenge for Deep Generative Models. 83-94 - Filippo Maria Castelli, Matteo Roffilli, Giacomo Mazzamuto, Irene Costantini, Ludovico Silvestri, Francesco Pavone:
Semantic Segmentation of Neuronal Bodies in Fluorescence Microscopy Using a 2D+3D CNN Training Strategy with Sparsely Annotated Data. 95-99 - Nicoletta Del Buono, Flavia Esposito, Laura Selicato:
Methods for Hyperparameters Optimization in Learning Approaches: An Overview. 100-112 - Antonella Falini, Cristiano Tamborrino, Graziano Castellano, Francesca Mazzia, Rosa Maria Mininni, Annalisa Appice, Donato Malerba:
Novel Reconstruction Errors for Saliency Detection in Hyperspectral Images. 113-124 - Cláudia S. Constantino, Alexandra M. Carvalho, Susana Vinga:
Sparse Consensus Classification for Discovering Novel Biomarkers in Rheumatoid Arthritis. 125-136 - Sasho Nedelkoski, Mihail Bogojeski, Odej Kao:
Learning More Expressive Joint Distributions in Multimodal Variational Methods. 137-149 - Seyed Amin Tabatabaei, Jan Klein, Mark Hoogendoorn:
Estimating the F1 Score for Learning from Positive and Unlabeled Examples. 150-161 - Salvatore Carta, Sergio Consoli, Luca Piras, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
Dynamic Industry-Specific Lexicon Generation for Stock Market Forecast. 162-176 - Dhekra Bousnina, Welington de Oliveira, Peter Pflaum:
A Stochastic Optimization Model for Frequency Control and Energy Management in a Microgrid. 177-189 - Sergio Consoli, Luca Tiozzo Pezzoli, Elisa Tosetti:
Using the GDELT Dataset to Analyse the Italian Sovereign Bond Market. 190-202 - Andrea Bommert, Jörg Rahnenführer:
Adjusted Measures for Feature Selection Stability for Data Sets with Similar Features. 203-214 - Marius Bommert, Günter Rudolph:
Reliable Solution of Multidimensional Stochastic Problems Using Metamodels. 215-226 - Maria Alexandra Oliveira, Luís Guimarães, José Luís Borges:
Understanding Production Process Productivity in the Glass Container Industry: A Big Data Approach. 227-232 - David Llácer, Beatriz Otero, Rubén Tous, Marisol Monterrubio Velasco, José Carlos Carrasco-Jiménez, Otilio Rojas:
Random Forest Parameterization for Earthquake Catalog Generation. 233-243 - Federico Bianchi, Pietro Tarocco, Alberto Castellini, Alessandro Farinelli:
Convolutional Neural Network and Stochastic Variational Gaussian Process for Heating Load Forecasting. 244-256 - Anahit Sargsyan, Areg Karapetyan, Wei Lee Woon, Aamena Alshamsi:
Explainable AI as a Social Microscope: A Case Study on Academic Performance. 257-268 - Federico Espositi, Andrea Bonarini:
Policy Feedback in Deep Reinforcement Learning to Exploit Expert Knowledge. 269-272 - Federico Espositi, Andrea Bonarini:
Gradient Bias to Solve the Generalization Limit of Genetic Algorithms Through Hybridization with Reinforcement Learning. 273-284 - Mauro Maria Baldi, Elisabetta Fersini, Enza Messina:
Relational Bayesian Model Averaging for Sentiment Analysis in Social Networks. 285-296 - Andrea Asperti:
Variance Loss in Variational Autoencoders. 297-308 - Mickael Febrissy, Mohamed Nadif:
Wasserstein Embeddings for Nonnegative Matrix Factorization. 309-321 - Francesco Craighero, Fabrizio Angaroni, Alex Graudenzi, Fabio Stella, Marco Antoniotti:
Investigating the Compositional Structure of Deep Neural Networks. 322-334 - Bruno G. Galuzzi, Enza Messina, Antonio Candelieri, Francesco Archetti:
Optimal Scenario-Tree Selection for Multistage Stochastic Programming. 335-346 - Charul Giri, Morten Goodwin, Ketil Oppedal:
Deep 3D Convolution Neural Network for Alzheimer's Detection. 347-358 - Ondrej Slowik, David Lehký, Drahomír Novák:
Combinatorial Reliability-Based Optimization of Nonlinear Finite Element Model Using an Artificial Neural Network-Based Approximation. 359-371 - Jamolbek Mattiev, Branko Kavsek:
CMAC: Clustering Class Association Rules to Form a Compact and Meaningful Associative Classifier. 372-384 - Viktor Burján, Bálint Gyires-Tóth:
GPU Accelerated Data Preparation for Limit Order Book Modeling. 385-397 - Vittorio Bellini, Massimo Guidolin, Manuela Pedio:
Can Big Data Help to Predict Conditional Stock Market Volatility? An Application to Brexit. 398-409 - Diogo R. Ferreira, Teresa Scholz, Rune Prytz:
Importance Weighting of Diagnostic Trouble Codes for Anomaly Detection. 410-421 - Milad Mokhtaridoost, Mehmet Gönen:
Identifying Key miRNA-mRNA Regulatory Modules in Cancer Using Sparse Multivariate Factor Regression. 422-433 - Emmanouela Rapanaki, Iraklis-Dimitrios Psychas, Magdalene Marinaki, Nikolaos F. Matsatsinis, Yannis Marinakis:
A Krill Herd Algorithm for the Multiobjective Energy Reduction Multi-Depot Vehicle Routing Problem. 434-447 - Franco Robledo, Pablo Rodríguez-Bocca, Pablo Romero:
Optimal Broadcast Strategy in Homogeneous Point-to-Point Networks. 448-457 - Ali el Hassouni, Mark Hoogendoorn, A. E. Eiben, Vesa Muhonen:
Structural and Functional Representativity of GANs for Data Generation in Sequential Decision Making. 458-471 - Rishab Gupta, Rohit Parimi, Zachary Weed, Pranav Kundra, Pramod Koneru, Pratap Koritala:
Driving Subscriptions Through User Behavior Modeling and Prediction at Bloomberg Media. 472-476 - Michele Fraccaroli, Evelina Lamma, Fabrizio Riguzzi:
Automatic Setting of DNN Hyper-Parameters by Mixing Bayesian Optimization and Tuning Rules. 477-488 - Salvatore Carta, Diego Reforgiato Recupero, Roberto Saia, Maria Madalina Stanciu:
A General Approach for Risk Controlled Trading Based on Machine Learning and Statistical Arbitrage. 489-503 - Norma Gutiérrez, Eva Rodríguez, Sergi Mus, Beatriz Otero, Ramon Canal:
Privacy Preserving Deep Learning Framework in Fog Computing. 504-515 - Guido Lagos, Pablo Romero:
On the Reliability of Dynamical Stochastic Binary Systems. 516-527 - Giovanna Fortez, Franco Robledo, Pablo Romero, Omar Viera:
A Fast Genetic Algorithm for the Max Cut-Clique Problem. 528-539 - Hyaejung Lim, Chang-Kyo Suh:
The Intellectual Structure of Business Analytics: 2002-2019. 540-550 - Michael Bräuning, Despo Malikkidou, Stefano Scalone, Giorgio Scricco:
A New Approach to Early Warning Systems for Small European Banks. 551-562 - Moiz Khan Sherwani, Paolo Zaffino, Pierangela Bruno, Maria Francesca Spadea, Francesco Calimeri:
Evaluating the Impact of Training Loss on MR to Synthetic CT Conversion. 563-573 - Jorio Cocola, Paul Hand:
Global Convergence of Sobolev Training for Overparameterized Neural Networks. 574-586 - Andrea Borghesi, Federico Baldo, Michele Lombardi, Michela Milano:
Injective Domain Knowledge in Neural Networks for Transprecision Computing. 587-600 - Federico Bianchi, Francesco Masillo, Alberto Castellini, Alessandro Farinelli:
XM_HeatForecast: Heating Load Forecasting in Smart District Heating Networks. 601-612 - Arun Pandey, Joachim Schreurs, Johan A. K. Suykens:
Robust Generative Restricted Kernel Machines Using Weighted Conjugate Feature Duality. 613-624 - Maurizio Boccia, Antonio Diglio, Adriano Masone, Claudio Sterle:
A Location-Routing Based Solution Approach for Reorganizing Postal Collection Operations in Rural Areas. 625-636 - Alexandre Maciel-Guerra, Grazziela P. Figueredo, Jamie Twycross:
Dynamic Selection of Classifiers Applied to High-Dimensional Small-Instance Data Sets: Problems and Challenges. 637-649 - Mirco Tracolli, Marco Baioletti, Valentina Poggioni, Daniele Spiga:
Caching Suggestions Using Reinforcement Learning. 650-662 - David Nizar Jaidan, Le Toan Duong:
Image Features Anonymization for Privacy Aware Machine Learning. 663-675 - Mika Rantonen, Joni Korpihalkola:
Prediction of Spot Prices in Nord Pool's Day-Ahead Market Using Machine Learning and Deep Learning. 676-687 - Tomás Dlask:
Unit Propagation by Means of Coordinate-Wise Minimization. 688-699 - Gabriele Iommazzo, Claudia D'Ambrosio, Antonio Frangioni, Leo Liberti:
A Learning-Based Mathematical Programming Formulation for the Automatic Configuration of Optimization Solvers. 700-712 - J. E. Knoll, Thorsten Schmidt-Dumont:
Reinforcement Learning for Playing WrapSlide. 713-724 - Francesco Branda, Fabrizio Marozzo, Domenico Talia:
Discovering Travelers' Purchasing Behavior from Public Transport Data. 725-736
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