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INNSBDDL 2019: Sestri Levante, Genova, Italy
- Luca Oneto
, Nicolò Navarin, Alessandro Sperduti, Davide Anguita
Recent Advances in Big Data and Deep Learning, Proceedings of the INNS Big Data and Deep Learning Conference INNSBDDL 2019, held at Sestri Levante, Genova, Italy 16-18 April 2019. Springer 2020, ISBN 978-3-030-16840-7 - Giorgio Gnecco, Federico Nutarelli:
On the Trade-Off Between Number of Examples and Precision of Supervision in Regression. 1-6 - Jeffrey Hajewski, Suely Oliveira
Distributed SmSVM Ensemble Learning. 7-16 - Tomaso Cetto, Jonathan Byrne, Xiaofan Xu, David Moloney:
Size/Accuracy Trade-Off in Convolutional Neural Networks: An Evolutionary Approach. 17-26 - Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino:
Fast Transfer Learning for Image Polarity Detection. 27-37 - Nathan Watt, Mathys C. du Plessis:
Dropout for Recurrent Neural Networks. 38-47 - Stefano Campese, Ivano Lauriola, Cristina Scarpazza
Psychiatric Disorders Classification with 3D Convolutional Neural Networks. 48-57 - Zhishen Huang, Stephen Becker
Perturbed Proximal Descent to Escape Saddle Points for Non-convex and Non-smooth Objective Functions. 58-77 - Bertrand Lebichot
Deep-Learning Domain Adaptation Techniques for Credit Cards Fraud Detection. 78-88 - Hong-Jun Yoon, John X. Qiu, James Blair Christian, Jacob D. Hinkle, Folami Alamudun
Selective Information Extraction Strategies for Cancer Pathology Reports with Convolutional Neural Networks. 89-98 - Vincenzo Crescimanna, Bruce Graham:
An Information Theoretic Approach to the Autoencoder. 99-108 - Iam Palatnik de Sousa
Deep Regression Counting: Customized Datasets and Inter-Architecture Transfer Learning. 109-119 - Roberto Spigolon, Luca Oneto, Dimitar Anastasovski, Nadia Fabrizio, Marie Swiatek, Renzo Canepa, Davide Anguita:
Improving Railway Maintenance Actions with Big Data and Distributed Ledger Technologies. 120-125 - Anton Popov, Alexander Makarenko:
Presumable Applications of Deep Learning for Cellular Automata Identification. 126-135 - Luca Oneto, Irene Buselli
Restoration Time Prediction in Large Scale Railway Networks: Big Data and Interpretability. 136-141 - Luca Oneto, Irene Buselli
Train Overtaking Prediction in Railway Networks: A Big Data Perspective. 142-151 - Francesca Cipollini
Cavitation Noise Spectra Prediction with Hybrid Models. 152-157 - Ping Guo, Dongbin Zhao, Min Han, Shoubo Feng:
Pseudoinverse Learners: New Trend and Applications to Big Data. 158-168 - Linda Ponta, Gloria Puliga, Luca Oneto
Innovation Capability of Firms: A Big Data Approach with Patents. 169-179 - Simone Merello, Andrea Picasso Ratto, Luca Oneto, Erik Cambria:
Predicting Future Market Trends: Which Is the Optimal Window? 180-185 - Imene Zangar, Zied Mnasri, Vincent Colotte, Denis Jouvet:
\(F_{0}\) Modeling Using DNN for Arabic Parametric Speech Synthesis. 186-195 - Gavneet Singh Chadha, Elnaz Meydani, Andreas Schwung:
Regularizing Neural Networks with Gradient Monitoring. 196-205 - Udo Schlegel, Wolfgang Jentner
Visual Analytics for Supporting Conflict Resolution in Large Railway Networks. 206-215 - Viviana Pinto, Alan Perotti, Tania Cerquitelli:
Modeling Urban Traffic Data Through Graph-Based Neural Networks. 216-225 - Philipp Rehlaender, Maik Schroeer, Gavneet Singh Chadha, Andreas Schwung:
Traffic Sign Detection Using R-CNN. 226-235 - Davide Bacciu, Antonio Bruno:
Deep Tree Transductions - A Short Survey. 236-245 - Wilhelm E. Sorteberg, Stef Garasto
Approximating the Solution of Surface Wave Propagation Using Deep Neural Networks. 246-256 - Xiaowei Gu
A Semi-supervised Deep Rule-Based Approach for Remote Sensing Scene Classification. 257-266 - Siu Cheung, Ziqi Chen, Yanli Li:
Comparing the Estimations of Value-at-Risk Using Artificial Network and Other Methods for Business Sectors. 267-275 - Stephen Green
Using Convolutional Neural Networks to Distinguish Different Sign Language Alphanumerics. 276-285 - Giorgia Franchini, Mathilde Galinier, Micaela Verucchi:
Mise en abyme with Artificial Intelligence: How to Predict the Accuracy of NN, Applied to Hyper-parameter Tuning. 286-295 - Saad Mohamad, Abdelhamid Bouchachia, Moamar Sayed Mouchaweh:
Asynchronous Stochastic Variational Inference. 296-308 - Vera Kurková, Marcello Sanguineti:
Probabilistic Bounds for Binary Classification of Large Data Sets. 309-319 - Simone Scardapane
Multikernel Activation Functions: Formulation and a Case Study. 320-329 - Jessica Cooper
Understanding Ancient Coin Images. 330-340 - Yasutaka Furusho
Effects of Skip-Connection in ResNet and Batch-Normalization on Fisher Information Matrix. 341-348 - Yasutaka Furusho
Skipping Two Layers in ResNet Makes the Generalization Gap Smaller than Skipping One or No Layer. 349-358 - Ivano Lauriola, Mirko Polato, Guglielmo Faggioli
A Preference-Learning Framework for Modeling Relational Data. 359-369 - Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos:
Convolutional Neural Networks for Twitter Text Toxicity Analysis. 370-379 - Claudio Gallicchio, Alessio Micheli
Fast Spectral Radius Initialization for Recurrent Neural Networks. 380-390
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