Risultati ricerca pubblicazioni

Why should we add early exits to neural networks?

pubblicato su: COGNITIVE COMPUTATION - 2020

Scardapane S., Scarpiniti M., Baccarelli E., Uncini A.

Brain tumor segmentation using 2D-UNET convolutional neural network

pubblicato su: Deep learning for cancer diagnosis - 2020

Munir Khushboo, Frezza Fabrizio, Rizzi Antonello

Deep learning for brain tumor segmentation

pubblicato su: Deep learning for cancer diagnosis - 2020

Munir Khushboo, Frezza Fabrizio, Rizzi Antonello

Multidimensional feeding of LSTM networks for multivariate prediction of energy time series

pubblicato su: - 2020

Succetti F., Rosato A., Araneo R., Panella M.

A combined deep learning approach for time series prediction in energy environments

pubblicato su: Conference Record - Industrial and Commercial Power Systems Technical Conference - 2020

Rosato A., Succetti F., Araneo R., Andreotti A., Mitolo M., Panella M.

A CNN approach for audio classification in construction sites

pubblicato su: Progresses in Artificial Intelligence and Neural Systems - 2020

Maccagno Alessandro, Mastropietro Andrea, Mazziotta Umberto, Scarpiniti Michele, Lee Yong-Cheol, Uncini Aurelio

DeepRICH: learning deeply Cherenkov detectors

pubblicato su: MACHINE LEARNING - 2020

Fanelli Cristiano, Pomponi Jary

Machine learning for nowcasting. The ensemble methods applied to decision trees case

pubblicato su: Advances in Economics: Research at the DED 2019 - 2020

Aliaj Tesi

On Optimal Crowd-Sensing Task Management in Developing Countries

pubblicato su: 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops) - 2020

Coletta Andrea, Bartolini Novella, Maselli Gaia, Hughes David P.

SMACC: a System for Microplastics Automatic Counting and Classification

pubblicato su: IEEE ACCESS - 2020

Lorenzo-Navarro Javier, Castrillón-Santana Modesto, Santesarti Enrico, De Marsico Maria, Martínez Ico, Raymond Eugenio, Gómez May, Herrera Alicia

Tack project. Tunnel and bridge automatic crack monitoring using deep learning and photogrammetry

pubblicato su: INTERNATIONAL ARCHIVES OF THE PHOTOGRAMMETRY, REMOTE SENSING AND SPATIAL INFORMATION SCIENCES - 2020

Belloni V., Sjölander A., Ravanelli R., Crespi M., Nascetti A.

Automatic crack detection on road pavements using encoder-decoder architecture

pubblicato su: MATERIALS - 2020

Fan Z., Li C., Chen Y., Wei J., Loprencipe G., Chen X., Di Mascio P.

Ensemble of deep convolutional neural networks for automatic pavement crack detection and measurement

pubblicato su: COATINGS - 2020

Fan Z., Li C., Chen Y., Di Mascio P., Chen X., Zhu G., Loprencipe G.

Deep Neural Networks for Multivariate Prediction of Photovoltaic Power Time Series

pubblicato su: IEEE ACCESS - 2020

Succetti Federico, Rosato Antonello, Araneo Rodolfo, Panella Massimo

Characterisation of cyclic alternating pattern during sleep in older men and women using large population studies

pubblicato su: SLEEP - 2020

Hartmann Simon, Bruni Oliviero, Ferri Raffaele, Redline Susan, Baumert Mathias

Deep learning to jointly analyze images and clinical data for disease detection

pubblicato su: Studies in Classification, Data Analysis and Knowledge Organization - 2020

Crobu Federica, Di Ciaccio Agostino

Categorical Encoding for Machine Learning

pubblicato su: - 2020

Di Ciaccio Agostino

CSI: a Coarse Sense Inventory for 85% Word Sense Disambiguation

pubblicato su: Proceedings of the AAAI Conference on Artificial Intelligence - 2020

Lacerra Caterina, Bevilacqua Michele, Pasini Tommaso, Navigli Roberto

InVeRo: Making Semantic Role Labeling Accessible with Intelligible Verbs and Roles

pubblicato su: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations - 2020

Conia Simone, Brignone Fabrizio, Zanfardino Davide, Navigli Roberto

Bridging the Gap in Multilingual Semantic Role Labeling: A Language-Agnostic Approach

pubblicato su: Proceedings of the 28th International Conference on Computational Linguistics - 2020

Conia Simone, Navigli Roberto

Deep Learning for local damage identification in large space structures via sensor-measured time responses

pubblicato su: Proceedings of the International Astronautical Congress, IAC - 2020

Iannelli P., Angeletti F., Gasbarri P., Panella M., Rosato A.

Explainable inference on sequential data via memory-tracking

pubblicato su: Proceedings of the 29th International Joint Conference on Artificial Intelligence - 2020

La Rosa Biagio, Capobianco Roberto, Nardi Daniele