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Found 40 publication records. Showing 40 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Luca Oneto, Nicolò Navarin, Alessandro Sperduti, Davide Anguita (eds.) |
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.  |
INNSBDDL  |
2020 |
DBLP BibTeX RDF |
|
| 1 | Linda Ponta, Gloria Puliga, Luca Oneto, Raffaella Manzini |
Innovation Capability of Firms: A Big Data Approach with Patents. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Ivano Lauriola, Mirko Polato, Guglielmo Faggioli, Fabio Aiolli |
A Preference-Learning Framework for Modeling Relational Data. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Wilhelm E. Sorteberg, Stef Garasto, Chris D. Cantwell, Anil A. Bharath |
Approximating the Solution of Surface Wave Propagation Using Deep Neural Networks. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
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| 1 | Nathan Watt, Mathys C. du Plessis |
Dropout for Recurrent Neural Networks. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
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| 1 | Stefano Campese, Ivano Lauriola, Cristina Scarpazza, Giuseppe Sartori, Fabio Aiolli |
Psychiatric Disorders Classification with 3D Convolutional Neural Networks. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Tomaso Cetto, Jonathan Byrne, Xiaofan Xu, David Moloney |
Size/Accuracy Trade-Off in Convolutional Neural Networks: An Evolutionary Approach. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
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| 1 | Xiaowei Gu, Plamen P. Angelov |
A Semi-supervised Deep Rule-Based Approach for Remote Sensing Scene Classification. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
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| 1 | Jeffrey Hajewski, Suely Oliveira |
Distributed SmSVM Ensemble Learning. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Simone Scardapane, Elena Nieddu, Donatella Firmani, Paolo Merialdo |
Multikernel Activation Functions: Formulation and a Case Study. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Simone Merello, Andrea Picasso Ratto, Luca Oneto, Erik Cambria |
Predicting Future Market Trends: Which Is the Optimal Window? |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Iam Palatnik de Sousa, Marley Maria Bernardes Rebuzzi Vellasco, Eduardo Costa da Silva |
Deep Regression Counting: Customized Datasets and Inter-Architecture Transfer Learning. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
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| 1 | Hong-Jun Yoon, John X. Qiu, James Blair Christian, Jacob D. Hinkle, Folami Alamudun, Georgia D. Tourassi |
Selective Information Extraction Strategies for Cancer Pathology Reports with Convolutional Neural Networks. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Francesca Cipollini, Fabiana Miglianti, Luca Oneto, Giorgio Tani, Michele Viviani, Davide Anguita |
Cavitation Noise Spectra Prediction with Hybrid Models. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Luca Oneto, Irene Buselli, Paolo Sanetti, Renzo Canepa, Simone Petralli, Davide Anguita |
Restoration Time Prediction in Large Scale Railway Networks: Big Data and Interpretability. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
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| 1 | Vincenzo Crescimanna, Bruce Graham |
An Information Theoretic Approach to the Autoencoder. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Jessica Cooper, Ognjen Arandjelovic |
Understanding Ancient Coin Images. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
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| 1 | Claudio Gallicchio, Alessio Micheli, Luca Pedrelli |
Fast Spectral Radius Initialization for Recurrent Neural Networks. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | 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. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Bertrand Lebichot, Yann-Aël Le Borgne, Liyun He-Guelton, Frédéric Oblé, Gianluca Bontempi |
Deep-Learning Domain Adaptation Techniques for Credit Cards Fraud Detection. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Gavneet Singh Chadha, Elnaz Meydani, Andreas Schwung |
Regularizing Neural Networks with Gradient Monitoring. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Luca Oneto, Irene Buselli, Alessandro Lulli, Renzo Canepa, Simone Petralli, Davide Anguita |
Train Overtaking Prediction in Railway Networks: A Big Data Perspective. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Giorgio Gnecco, Federico Nutarelli |
On the Trade-Off Between Number of Examples and Precision of Supervision in Regression. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Yasutaka Furusho, Kazushi Ikeda |
Effects of Skip-Connection in ResNet and Batch-Normalization on Fisher Information Matrix. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Vera Kurková, Marcello Sanguineti |
Probabilistic Bounds for Binary Classification of Large Data Sets. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Giorgia Franchini, Mathilde Galinier, Micaela Verucchi |
Mise en abyme with Artificial Intelligence: How to Predict the Accuracy of NN, Applied to Hyper-parameter Tuning. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Viviana Pinto, Alan Perotti, Tania Cerquitelli |
Modeling Urban Traffic Data Through Graph-Based Neural Networks. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Saad Mohamad, Abdelhamid Bouchachia, Moamar Sayed Mouchaweh |
Asynchronous Stochastic Variational Inference. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Davide Bacciu, Antonio Bruno |
Deep Tree Transductions - A Short Survey. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Udo Schlegel, Wolfgang Jentner, Juri Buchmüller, Eren Cakmak, Giuliano Castiglia, Renzo Canepa, Simone Petralli, Luca Oneto, Daniel A. Keim, Davide Anguita |
Visual Analytics for Supporting Conflict Resolution in Large Railway Networks. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Ping Guo, Dongbin Zhao, Min Han 0001, Shoubo Feng |
Pseudoinverse Learners: New Trend and Applications to Big Data. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Stephen Green 0001, Ivan Tyukin, Alexander N. Gorban |
Using Convolutional Neural Networks to Distinguish Different Sign Language Alphanumerics. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Anton Popov, Alexander Makarenko |
Presumable Applications of Deep Learning for Cellular Automata Identification. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Philipp Rehlaender, Maik Schroeer, Gavneet Singh Chadha, Andreas Schwung |
Traffic Sign Detection Using R-CNN. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos |
Convolutional Neural Networks for Twitter Text Toxicity Analysis. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino |
Fast Transfer Learning for Image Polarity Detection. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Yasutaka Furusho, Tongliang Liu, Kazushi Ikeda |
Skipping Two Layers in ResNet Makes the Generalization Gap Smaller than Skipping One or No Layer. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Siu Cheung, Ziqi Chen, Yanli Li |
Comparing the Estimations of Value-at-Risk Using Artificial Network and Other Methods for Business Sectors. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Zhishen Huang, Stephen Becker |
Perturbed Proximal Descent to Escape Saddle Points for Non-convex and Non-smooth Objective Functions. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
|
| 1 | Imene Zangar, Zied Mnasri, Vincent Colotte, Denis Jouvet |
\(F_{0}\) Modeling Using DNN for Arabic Parametric Speech Synthesis. |
INNSBDDL |
2019 |
DBLP DOI BibTeX RDF |
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