Abstract is missing.
- Revisiting Clustering as Matrix Factorisation on the Stiefel ManifoldStéphane Chrétien, Benjamin Guedj. 1-12 [doi]
- A Generalized Quadratic Loss for SVM and Deep Neural NetworksFilippo Portera. 13-24 [doi]
- Machine Learning Application to Family Business Status ClassificationGiorgio Gnecco, Stefano Amato, Alessia Patuelli, Nicola Lattanzi. 25-36 [doi]
- Using Hessians as a Regularization TechniqueAdel Rahimi, Tetiana Kodliuk, Othman Benchekroun. 37-40 [doi]
- Scaling Up Quasi-newton Algorithms: Communication Efficient Distributed SR1Majid Jahani, MohammadReza Nazari, Sergey Rusakov, Albert S. Berahas, Martin Takác. 41-54 [doi]
- Should Simplicity Be Always Preferred to Complexity in Supervised Machine Learning?Falco J. Bargagli Stoffi, Gustavo Cevolani, Giorgio Gnecco. 55-59 [doi]
- An Application of Machine Learning to Study Utilities Expenses in the Brazilian NavyStefan Silva, José Crispim. 60-71 [doi]
- The Role of Animal Spirit in Monitoring Location Shifts with SVM: Novelties Versus OutliersIulia Igescu. 72-82 [doi]
- Long-Term Prediction of Physical Interactions: A Challenge for Deep Generative ModelsAlberto Cenzato, Alberto Testolin, Marco Zorzi. 83-94 [doi]
- Semantic Segmentation of Neuronal Bodies in Fluorescence Microscopy Using a 2D+3D CNN Training Strategy with Sparsely Annotated DataFilippo Maria Castelli, Matteo Roffilli, Giacomo Mazzamuto, Irene Costantini, Ludovico Silvestri, Francesco Pavone. 95-99 [doi]
- Methods for Hyperparameters Optimization in Learning Approaches: An OverviewNicoletta Del Buono, Flavia Esposito, Laura Selicato. 100-112 [doi]
- Novel Reconstruction Errors for Saliency Detection in Hyperspectral ImagesAntonella Falini, Cristiano Tamborrino, Graziano Castellano, Francesca Mazzia, Rosa Maria Mininni, Annalisa Appice, Donato Malerba. 113-124 [doi]
- Sparse Consensus Classification for Discovering Novel Biomarkers in Rheumatoid ArthritisCláudia Constantino, Alexandra M. Carvalho, Susana Vinga. 125-136 [doi]
- Learning More Expressive Joint Distributions in Multimodal Variational MethodsSasho Nedelkoski, Mihail Bogojeski, Odej Kao. 137-149 [doi]
- 1 Score for Learning from Positive and Unlabeled ExamplesSeyed Amin Tabatabaei, Jan Klein 0004, Mark Hoogendoorn. 150-161 [doi]
- Dynamic Industry-Specific Lexicon Generation for Stock Market ForecastSalvatore Carta, Sergio Consoli, Luca Piras, Alessandro Sebastian Podda, Diego Reforgiato Recupero. 162-176 [doi]
- A Stochastic Optimization Model for Frequency Control and Energy Management in a MicrogridDhekra Bousnina, Welington de Oliveira 0001, Peter Pflaum. 177-189 [doi]
- Using the GDELT Dataset to Analyse the Italian Sovereign Bond MarketSergio Consoli, Luca Tiozzo Pezzoli, Elisa Tosetti. 190-202 [doi]
- Adjusted Measures for Feature Selection Stability for Data Sets with Similar FeaturesAndrea Bommert, Jörg Rahnenführer. 203-214 [doi]
- Reliable Solution of Multidimensional Stochastic Problems Using MetamodelsMarius Bommert, Günter Rudolph. 215-226 [doi]
- Understanding Production Process Productivity in the Glass Container Industry: A Big Data ApproachMaria Alexandra Oliveira, Luís Guimarães, José Luís Borges. 227-232 [doi]
- Random Forest Parameterization for Earthquake Catalog GenerationDavid Llácer, Beatriz Otero, Rubén Tous, Marisol Monterrubio Velasco, José Carlos Carrasco-Jiménez, Otilio Rojas. 233-243 [doi]
- Convolutional Neural Network and Stochastic Variational Gaussian Process for Heating Load ForecastingFederico Bianchi, Pietro Tarocco, Alberto Castellini, Alessandro Farinelli. 244-256 [doi]
- Explainable AI as a Social Microscope: A Case Study on Academic PerformanceAnahit Sargsyan, Areg Karapetyan, Wei Lee Woon, Aamena Alshamsi. 257-268 [doi]
- Policy Feedback in Deep Reinforcement Learning to Exploit Expert KnowledgeFederico Espositi, Andrea Bonarini. 269-272 [doi]
- Gradient Bias to Solve the Generalization Limit of Genetic Algorithms Through Hybridization with Reinforcement LearningFederico Espositi, Andrea Bonarini. 273-284 [doi]
- Relational Bayesian Model Averaging for Sentiment Analysis in Social NetworksMauro Maria Baldi, Elisabetta Fersini, Enza Messina. 285-296 [doi]
- Variance Loss in Variational AutoencodersAndrea Asperti. 297-308 [doi]
- Wasserstein Embeddings for Nonnegative Matrix FactorizationMickael Febrissy, Mohamed Nadif. 309-321 [doi]
- Investigating the Compositional Structure of Deep Neural NetworksFrancesco Craighero, Fabrizio Angaroni, Alex Graudenzi, Fabio Stella, Marco Antoniotti. 322-334 [doi]
- Optimal Scenario-Tree Selection for Multistage Stochastic ProgrammingBruno G. Galuzzi, Enza Messina, Antonio Candelieri, Francesco Archetti. 335-346 [doi]
- Deep 3D Convolution Neural Network for Alzheimer's DetectionCharul Giri, Morten Goodwin, Ketil Oppedal. 347-358 [doi]
- Combinatorial Reliability-Based Optimization of Nonlinear Finite Element Model Using an Artificial Neural Network-Based ApproximationOndrej Slowik, David Lehký, Drahomír Novák. 359-371 [doi]
- CMAC: Clustering Class Association Rules to Form a Compact and Meaningful Associative ClassifierJamolbek Mattiev, Branko Kavsek. 372-384 [doi]
- GPU Accelerated Data Preparation for Limit Order Book ModelingViktor Burján, Bálint Gyires-Tóth. 385-397 [doi]
- Can Big Data Help to Predict Conditional Stock Market Volatility? An Application to BrexitVittorio Bellini, Massimo Guidolin, Manuela Pedio. 398-409 [doi]
- Importance Weighting of Diagnostic Trouble Codes for Anomaly DetectionDiogo R. Ferreira, Teresa Scholz, Rune Prytz. 410-421 [doi]
- Identifying Key miRNA-mRNA Regulatory Modules in Cancer Using Sparse Multivariate Factor RegressionMilad Mokhtaridoost, Mehmet Gönen. 422-433 [doi]
- A Krill Herd Algorithm for the Multiobjective Energy Reduction Multi-Depot Vehicle Routing ProblemEmmanouela Rapanaki, Iraklis-Dimitrios Psychas, Magdalene Marinaki, Nikolaos F. Matsatsinis, Yannis Marinakis. 434-447 [doi]
- Optimal Broadcast Strategy in Homogeneous Point-to-Point NetworksFranco Robledo, Pablo Rodríguez-Bocca, Pablo Romero. 448-457 [doi]
- Structural and Functional Representativity of GANs for Data Generation in Sequential Decision MakingAli el Hassouni, Mark Hoogendoorn, A. E. Eiben, Vesa Muhonen. 458-471 [doi]
- Driving Subscriptions Through User Behavior Modeling and Prediction at Bloomberg MediaRishab Gupta, Rohit Parimi, Zachary Weed, Pranav Kundra, Pramod Koneru, Pratap Koritala. 472-476 [doi]
- Automatic Setting of DNN Hyper-Parameters by Mixing Bayesian Optimization and Tuning RulesMichele Fraccaroli, Evelina Lamma, Fabrizio Riguzzi. 477-488 [doi]
- A General Approach for Risk Controlled Trading Based on Machine Learning and Statistical ArbitrageSalvatore Carta, Diego Reforgiato Recupero, Roberto Saia, Madalina Stanciu. 489-503 [doi]
- Privacy Preserving Deep Learning Framework in Fog ComputingNorma Gutiérrez, Eva Rodríguez, Sergi Mus, Beatriz Otero, Ramon Canal. 504-515 [doi]
- On the Reliability of Dynamical Stochastic Binary SystemsGuido Lagos, Pablo Romero. 516-527 [doi]
- A Fast Genetic Algorithm for the Max Cut-Clique ProblemGiovanna Fortez, Franco Robledo, Pablo Romero, Omar Viera. 528-539 [doi]
- The Intellectual Structure of Business Analytics: 2002-2019Hyaejung Lim, Chang-Kyo Suh. 540-550 [doi]
- A New Approach to Early Warning Systems for Small European BanksMichael Bräuning, Despo Malikkidou, Stefano Scalone, Giorgio Scricco. 551-562 [doi]
- Evaluating the Impact of Training Loss on MR to Synthetic CT ConversionMoiz Khan Sherwani, Paolo Zaffino, Pierangela Bruno, Maria Francesca Spadea, Francesco Calimeri. 563-573 [doi]
- Global Convergence of Sobolev Training for Overparameterized Neural NetworksJorio Cocola, Paul Hand. 574-586 [doi]
- Injective Domain Knowledge in Neural Networks for Transprecision ComputingAndrea Borghesi, Federico Baldo, Michele Lombardi 0001, Michela Milano. 587-600 [doi]
- XM_HeatForecast: Heating Load Forecasting in Smart District Heating NetworksFederico Bianchi, Francesco Masillo, Alberto Castellini, Alessandro Farinelli. 601-612 [doi]
- Robust Generative Restricted Kernel Machines Using Weighted Conjugate Feature DualityArun Pandey, Joachim Schreurs, Johan A. K. Suykens. 613-624 [doi]
- A Location-Routing Based Solution Approach for Reorganizing Postal Collection Operations in Rural AreasMaurizio Boccia, Antonio Diglio, Adriano Masone, Claudio Sterle. 625-636 [doi]
- Dynamic Selection of Classifiers Applied to High-Dimensional Small-Instance Data Sets: Problems and ChallengesAlexandre Maciel-Guerra, Grazziela P. Figueredo, Jamie Twycross. 637-649 [doi]
- Caching Suggestions Using Reinforcement LearningMirco Tracolli, Marco Baioletti, Valentina Poggioni, Daniele Spiga. 650-662 [doi]
- Image Features Anonymization for Privacy Aware Machine LearningDavid Nizar Jaidan, Le Toan Duong. 663-675 [doi]
- Prediction of Spot Prices in Nord Pool's Day-Ahead Market Using Machine Learning and Deep LearningMika Rantonen, Joni Korpihalkola. 676-687 [doi]
- Unit Propagation by Means of Coordinate-Wise MinimizationTomás Dlask. 688-699 [doi]
- A Learning-Based Mathematical Programming Formulation for the Automatic Configuration of Optimization SolversGabriele Iommazzo, Claudia D'Ambrosio, Antonio Frangioni, Leo Liberti. 700-712 [doi]
- Reinforcement Learning for Playing WrapSlideJ. E. Knoll, Thorsten Schmidt-Dumont. 713-724 [doi]
- Discovering Travelers' Purchasing Behavior from Public Transport DataFrancesco Branda, Fabrizio Marozzo, Domenico Talia. 725-736 [doi]