Abstract is missing.
- On the Trade-Off Between Number of Examples and Precision of Supervision in RegressionGiorgio Gnecco, Federico Nutarelli. 1-6 [doi]
- Distributed SmSVM Ensemble LearningJeffrey Hajewski, Suely Oliveira. 7-16 [doi]
- Size/Accuracy Trade-Off in Convolutional Neural Networks: An Evolutionary ApproachTomaso Cetto, Jonathan Byrne, Xiaofan Xu, David Moloney. 17-26 [doi]
- Fast Transfer Learning for Image Polarity DetectionEdoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino. 27-37 [doi]
- Dropout for Recurrent Neural NetworksNathan Watt, Mathys C. du Plessis. 38-47 [doi]
- Psychiatric Disorders Classification with 3D Convolutional Neural NetworksStefano Campese, Ivano Lauriola, Cristina Scarpazza, Giuseppe Sartori, Fabio Aiolli. 48-57 [doi]
- Perturbed Proximal Descent to Escape Saddle Points for Non-convex and Non-smooth Objective FunctionsZhishen Huang, Stephen Becker. 58-77 [doi]
- Deep-Learning Domain Adaptation Techniques for Credit Cards Fraud DetectionBertrand Lebichot, Yann-Aël Le Borgne, Liyun He-Guelton, Frédéric Oblé, Gianluca Bontempi. 78-88 [doi]
- Selective Information Extraction Strategies for Cancer Pathology Reports with Convolutional Neural NetworksHong-Jun Yoon, John X. Qiu, J. Blair Christian, Jacob D. Hinkle, Folami Alamudun, Georgia D. Tourassi. 89-98 [doi]
- An Information Theoretic Approach to the AutoencoderVincenzo Crescimanna, Bruce Graham. 99-108 [doi]
- Deep Regression Counting: Customized Datasets and Inter-Architecture Transfer LearningIam Palatnik de Sousa, Marley Maria Bernardes Rebuzzi Vellasco, Eduardo Costa da Silva. 109-119 [doi]
- Improving Railway Maintenance Actions with Big Data and Distributed Ledger TechnologiesRoberto Spigolon, Luca Oneto, Dimitar Anastasovski, Nadia Fabrizio, Marie Swiatek, Renzo Canepa, Davide Anguita. 120-125 [doi]
- Presumable Applications of Deep Learning for Cellular Automata IdentificationAnton Popov, Alexander Makarenko. 126-135 [doi]
- Restoration Time Prediction in Large Scale Railway Networks: Big Data and InterpretabilityLuca Oneto, Irene Buselli, Paolo Sanetti, Renzo Canepa, Simone Petralli, Davide Anguita. 136-141 [doi]
- Train Overtaking Prediction in Railway Networks: A Big Data PerspectiveLuca Oneto, Irene Buselli, Alessandro Lulli, Renzo Canepa, Simone Petralli, Davide Anguita. 142-151 [doi]
- Cavitation Noise Spectra Prediction with Hybrid ModelsFrancesca Cipollini, Fabiana Miglianti, Luca Oneto, Giorgio Tani, Michele Viviani, Davide Anguita. 152-157 [doi]
- Pseudoinverse Learners: New Trend and Applications to Big DataPing Guo, Dongbin Zhao, Min Han, Shoubo Feng. 158-168 [doi]
- Innovation Capability of Firms: A Big Data Approach with PatentsLinda Ponta, Gloria Puliga, Luca Oneto, Raffaella Manzini. 169-179 [doi]
- Predicting Future Market Trends: Which Is the Optimal Window?Simone Merello, Andrea Picasso Ratto, Luca Oneto, Erik Cambria. 180-185 [doi]
- \(F_{0}\) Modeling Using DNN for Arabic Parametric Speech SynthesisImene Zangar, Zied Mnasri, Vincent Colotte, Denis Jouvet. 186-195 [doi]
- Regularizing Neural Networks with Gradient MonitoringGavneet Singh Chadha, Elnaz Meydani, Andreas Schwung. 196-205 [doi]
- Visual Analytics for Supporting Conflict Resolution in Large Railway NetworksUdo Schlegel, Wolfgang Jentner, Juri Buchmüller, Eren Cakmak, Giuliano Castiglia, Renzo Canepa, Simone Petralli, Luca Oneto, Daniel A. Keim, Davide Anguita. 206-215 [doi]
- Modeling Urban Traffic Data Through Graph-Based Neural NetworksViviana Pinto, Alan Perotti, Tania Cerquitelli. 216-225 [doi]
- Traffic Sign Detection Using R-CNNPhilipp Rehlaender, Maik Schroeer, Gavneet Singh Chadha, Andreas Schwung. 226-235 [doi]
- Deep Tree Transductions - A Short SurveyDavide Bacciu, Antonio Bruno. 236-245 [doi]
- Approximating the Solution of Surface Wave Propagation Using Deep Neural NetworksWilhelm E. Sorteberg, Stef Garasto, Chris C. Cantwell, Anil A. Bharath. 246-256 [doi]
- A Semi-supervised Deep Rule-Based Approach for Remote Sensing Scene ClassificationXiaowei Gu, Plamen P. Angelov. 257-266 [doi]
- Comparing the Estimations of Value-at-Risk Using Artificial Network and Other Methods for Business SectorsSiu-Cheung, Ziqi Chen, Yanli Li. 267-275 [doi]
- Using Convolutional Neural Networks to Distinguish Different Sign Language AlphanumericsStephen Green, Ivan Tyukin, Alexander N. Gorban. 276-285 [doi]
- Mise en abyme with Artificial Intelligence: How to Predict the Accuracy of NN, Applied to Hyper-parameter TuningGiorgia Franchini, Mathilde Galinier, Micaela Verucchi. 286-295 [doi]
- Asynchronous Stochastic Variational InferenceSaad Mohamad, Abdelhamid Bouchachia, Moamar Sayed Mouchaweh. 296-308 [doi]
- Probabilistic Bounds for Binary Classification of Large Data SetsVera Kurková, Marcello Sanguineti. 309-319 [doi]
- Multikernel Activation Functions: Formulation and a Case StudySimone Scardapane, Elena Nieddu, Donatella Firmani, Paolo Merialdo. 320-329 [doi]
- Understanding Ancient Coin ImagesJessica Cooper, Ognjen Arandjelovic. 330-340 [doi]
- Effects of Skip-Connection in ResNet and Batch-Normalization on Fisher Information MatrixYasutaka Furusho, Kazushi Ikeda. 341-348 [doi]
- Skipping Two Layers in ResNet Makes the Generalization Gap Smaller than Skipping One or No LayerYasutaka Furusho, Tongliang Liu, Kazushi Ikeda. 349-358 [doi]
- A Preference-Learning Framework for Modeling Relational DataIvano Lauriola, Mirko Polato, Guglielmo Faggioli, Fabio Aiolli. 359-369 [doi]
- Convolutional Neural Networks for Twitter Text Toxicity AnalysisSpiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos. 370-379 [doi]
- Fast Spectral Radius Initialization for Recurrent Neural NetworksClaudio Gallicchio, Alessio Micheli, Luca Pedrelli. 380-390 [doi]