Risultati ricerca pubblicazioni

Unsupervised Features Extraction for Binary Similarity Using Graph Embedding Neural Networks

pubblicato su: - 2018

Baldoni Roberto, DI LUNA GIUSEPPE ANTONIO, Massarelli Luca, Petroni Fabio, Querzoni Leonardo

An interactive and low-cost full body rehabilitation framework based on 3D Immersive Serious Games

pubblicato su: JOURNAL OF BIOMEDICAL INFORMATICS - 2019

Avola Danilo, Cinque Luigi, Foresti Gian Luca, Marini Marco Raoul

Master and Rookie Networks for Person Re-identification

pubblicato su: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 2019

Avola D., Cascio M., Cinque L., Fagioli A., Foresti G. L., Massaroni C.

VRheab. A fully immersive motor rehabilitation system based on recurrent neural network

pubblicato su: MULTIMEDIA TOOLS AND APPLICATIONS - 2018

Avola Danilo, Cinque Luigi, Foresti Gian Luca, Marini Marco Raoul, Pannone Daniele

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

“Deep Learning for analysis of GPR images”

pubblicato su: Radar and Remote Sensing Workshop - 2019

Ponti F., Barbuto F., Di Gregorio P. P., Mangini F., Simeoni P., Troiano M., Frezza F.

Deep Learning for applications to Ground Penetrating Radar and electromagnetic diagnostic

pubblicato su: PIERS - 2019

Ponti Francesca, Barbuto F., Di Gregorio Pietro Paolo, Mangini Fabio, Simeoni Patrizio, Troiano Maurizio, Frezza Fabrizio

Cancer diagnosis using deep learning: A bibliographic review

pubblicato su: CANCERS - 2019

Munir Khushboo, Elahi Hassan, Ayub Afsheen, 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.

2-D convolutional deep neural network for multivariate energy time series prediction

pubblicato su: Proceedings - 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019 - 2019

Rosato A., Araneo R., Andreotti A., Panella M.

Predictive analysis of photovoltaic power generation using deep learning

pubblicato su: Proceedings - 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019 - 2019

Rosato A., Araneo R., Andreotti A., Panella M.

A deep learning strategy for on‑orbit servicing via space robotic manipulator

pubblicato su: AEROTECNICA MISSILI E SPAZIO - 2019

Stolfi Angelo, Angeletti Federica, Gasbarri Paolo, Panella Massimo

A deep learning strategy for on-orbit servicing via space robotic manipulator

pubblicato su: Proceedings of XXV International Congress of Aeronautics and Astronautics (2019) - 2019

Stolfi Angelo, Angeletti Federica, Gasbarri Paolo, Panella Massimo

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

Deep region of interest and feature extraction models for palmprint verification using convolutional neural networks transfer learning

pubblicato su: APPLIED SCIENCES - 2018

Izadpanahkakhk Mahdieh, Mohammad Razavi Seyyed, Taghipour-Gorjikolaie Mehran, Hamid Zahiri Seyyed, 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

An accuracy vs. complexity comparison of deep learning architectures for the detection of covid-19 disease

pubblicato su: COMPUTATION - 2021

Sarv Ahrabi S., Scarpiniti M., Baccarelli E., Momenzadeh A.

Deep recurrent neural networks for audio classification in construction sites

pubblicato su: European Signal Processing Conference - 2021

Scarpiniti M., Comminiello D., Uncini A., Lee Y. -C.

Function Representations for Binary Similarity

pubblicato su: IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING - 2021

Massarelli Luca, Di Luna Giuseppe Antonio, Petroni Fabio, Querzoni Leonardo, Baldoni Roberto

A compared approach on how deep learning may support reverse engineering for tolerance inspection

pubblicato su: ASME International mechanical engineering congress and exposition, proceedings (IMECE) - 2019

Bici M., Mohammadi S. S., Campana F.

Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

pubblicato su: CELL REPORTS - 2018

Saltz Joel, Gupta Rajarsi, Hou Le, Kurc Tahsin, Singh Pankaj, Nguyen Vu, Samaras Dimitris, Shroyer Kenneth R., Zhao Tianhao, Batiste Rebecca, Van Arnam John, Caesar-Johnson Samantha J., Demchok John A., Felau Ina, Kasapi Melpomeni, Ferguson Martin L., Hutter Carolyn M., Sofia Heidi J., Tarnuzzer Roy, Wang Zhining, Yang Liming, Zenklusen Jean C., Zhang Jiashan (Julia), Chudamani Sudha, Liu Jia, Lolla Laxmi, Naresh Rashi, Pihl Todd, Sun Qiang, Wan Yunhu, Wu Ye, Cho Juok, Defreitas Timothy, Frazer Scott, Gehlenborg Nils, Getz Gad, Heiman David I., Kim Jaegil, Lawrence Michael S., Lin Pei, Meier Sam, Noble Michael S., Saksena Gordon, Voet Doug, Zhang Hailei, Bernard Brady, Chambwe Nyasha, Dhankani Varsha, Knijnenburg Theo, Kramer Roger, Leinonen Kalle, Liu Yuexin, Miller Michael, Reynolds Sheila, Shmulevich Ilya, Thorsson Vesteinn, Zhang Wei, Akbani Rehan, Broom Bradley M., Hegde Apurva M., Ju Zhenlin, Kanchi Rupa S., Korkut Anil, Li Jun, Liang Han, Ling Shiyun, Liu Wenbin, Lu Yiling, Mills Gordon B., Ng Kwok-Shing, Rao Arvind, Ryan Michael, Wang Jing, Weinstein John N., Zhang Jiexin, Abeshouse Adam, Armenia Joshua, Chakravarty Debyani, Chatila Walid K., de Bruijn Ino, Gao Jianjiong, Gross Benjamin E., Heins Zachary J., Kundra Ritika, La Konnor, Ladanyi Marc, Luna Augustin, Nissan Moriah G., Ochoa Angelica, Phillips Sarah M., Reznik Ed, Sanchez-Vega Francisco, Sander Chris, Schultz Nikolaus, Sheridan Robert, Sumer S. Onur, Sun Yichao, Taylor Barry S., Wang Jioajiao, Zhang Hongxin, Anur Pavana, Peto Myron, Spellman Paul, Benz Christopher, Stuart Joshua M., Wong Christopher K., Yau Christina, Hayes D. Neil, Parker Joel S., Wilkerson Matthew D., Ally Adrian, Balasundaram Miruna, Bowlby Reanne, Brooks Denise, Carlsen Rebecca, Chuah Eric, Dhalla Noreen, Holt Robert, Jones Steven J. M., Kasaian Katayoon, Lee Darlene, Ma Yussanne, Marra Marco A., Mayo Michael, Moore Richard A., Mungall Andrew J., Mungall Karen, Robertson A. Gordon, Sadeghi Sara, Schein Jacqueline E., Sipahimalani Payal, Tam Angela, Thiessen Nina, Tse Kane, Wong Tina, Berger Ashton C., Beroukhim Rameen, Cherniack Andrew D., Cibulskis Carrie, Gabriel Stacey B., Gao Galen F., Ha Gavin, Meyerson Matthew, Schumacher Steven E., Shih Juliann, Kucherlapati Melanie H., Kucherlapati Raju S., Baylin Stephen, Cope Leslie, Danilova Ludmila, Bootwalla Moiz S., Lai Phillip H., Maglinte Dennis T., Van Den Berg David J., Weisenberger Daniel J., Auman J. Todd, Balu Saianand, Bodenheimer Tom, Fan Cheng, Hoadley Katherine A., Hoyle Alan P., Jefferys Stuart R., Jones Corbin D., Meng Shaowu, Mieczkowski Piotr A., Mose Lisle E., Perou Amy H., Perou Charles M., Roach Jeffrey, Shi Yan, Simons Janae V., Skelly Tara, Soloway Matthew G., Tan Donghui, Veluvolu Umadevi, Fan Huihui, Hinoue Toshinori, Laird Peter W., Shen Hui, Zhou Wanding, Bellair Michelle, Chang Kyle, Covington Kyle, Creighton Chad J., Dinh Huyen, Doddapaneni Harshavardhan, Donehower Lawrence A., Drummond Jennifer, Gibbs Richard A., Glenn Robert, Hale Walker, Han Yi, Hu Jianhong, Korchina Viktoriya, Lee Sandra, Lewis Lora, Li Wei, Liu Xiuping, Morgan Margaret, Morton Donna, Muzny Donna, Santibanez Jireh, Sheth Margi, Shinbrot Eve, Wang Linghua, Wang Min, Wheeler David A., Xi Liu, Zhao Fengmei, Hess Julian, Appelbaum Elizabeth L., Bailey Matthew, Cordes Matthew G., Ding Li, Fronick Catrina C., Fulton Lucinda A., Fulton Robert S., Kandoth Cyriac, Mardis Elaine R., Mclellan Michael D., Miller Christopher A., Schmidt Heather K., Wilson Richard K., Crain Daniel, Curley Erin, Gardner Johanna, Lau Kevin, Mallery David, Morris Scott, Paulauskis Joseph, Penny Robert, Shelton Candace, Shelton Troy, Sherman Mark, Thompson Eric, Yena Peggy, Bowen Jay, Gastier-Foster Julie M., Gerken Mark, Leraas Kristen M., Li