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Publication search results
found 154 matches
- 2024
- Álvaro Llorente, Javier Guinea Pérez, Juan Antonio Rodrigo, David Jiménez, José Manuel Menéndez:
Efficient Computational Cost Saving in Video Processing for QoE Estimation. IEEE Access 12: 34846-34862 (2024) - Antonio Ruggia, Dario Nisi, Savino Dambra, Alessio Merlo, Davide Balzarotti, Simone Aonzo:
Unmasking the Veiled: A Comprehensive Analysis of Android Evasive Malware. AsiaCCS 2024 - Kuo-Ken Huang, Ricardo Luna, David D. Wentzloff, Bela Rathonyi, Y.-P. Eric Wang, Jason Chen, Jouni Korhonen, Hanna-Liisa Tiri:
NB-IoT Power-Saving Analysis with Wake-Up Signal and Wake-Up Receiver Implementation. ICC Workshops 2024: 1121-1126 - Alberto Dequino, Alessio Carpegna, Davide Nadalini, Alessandro Savino, Luca Benini, Stefano Di Carlo, Francesco Conti:
Compressed Latent Replays for Lightweight Continual Learning on Spiking Neural Networks. ISVLSI 2024: 240-245 - Mohammad Eskandarinia, Farhad Arpanaei, Hamzeh Beyranvand, Hami Rabbani, Óscar González de Dios, Juan Pedro Fernández-Palacios, David Larrabeiti, José Alberto Hernández:
Maximizing Cost and Energy Savings in Multi-Band EONs through QoT-Driven Service Deployment. MeditCom 2024: 501-506 - Alberto Dequino, Alessio Carpegna, Davide Nadalini, Alessandro Savino, Luca Benini, Stefano Di Carlo, Francesco Conti:
Compressed Latent Replays for Lightweight Continual Learning on Spiking Neural Networks. CoRR abs/2407.03111 (2024) - 2023
- Massimiliano Incudini, Michele Grossi, Andrea Ceschini, Antonio Mandarino, Massimo Panella, Sofia Vallecorsa, David Windridge:
Resource saving via ensemble techniques for quantum neural networks. Quantum Mach. Intell. 5(2): 1-24 (2023) - Savino Dambra, Leyla Bilge, Davide Balzarotti:
A Comparison of Systemic and Systematic Risks of Malware Encounters in Consumer and Enterprise Environments. ACM Trans. Priv. Secur. 26(2): 16:1-16:30 (2023) - Savino Dambra, Yufei Han, Simone Aonzo, Platon Kotzias, Antonino Vitale, Juan Caballero, Davide Balzarotti, Leyla Bilge:
Decoding the Secrets of Machine Learning in Malware Classification: A Deep Dive into Datasets, Feature Extraction, and Model Performance. CCS 2023: 60-74 - Sara Marceglia, Vania Manzelli, Annamaria Caruso, Marco Prenassi, Roberto Prandin, Chiara Savino, David Tacconi, Roberta Ferrucci, Costanza Conti, Giulia Candiani, Cristiano Toraldo, Elda Judica, Massimo Corbo, Marianna Masiero, Gabriella Pravettoni:
PainRE-Life: A FHIR Based Telemonitoring Ecosystem for the Management of Patients with Chronic Pain. EFMI-STC 2023: 183-184 - Thiranja P. Babarenda Gamage, Ayah Elsayed, Chinchien Lin, Alan Wu, Yuan Feng, Jianwei Yu, Linkun Gao, Savindi Wijenayaka, Martyn P. Nash, Anthony J. Doyle, David P. Nickerson:
Vision for the 12 LABOURS Digital Twin Platform. EMBC 2023: 1-4 - Marti Alonso, David Andreu, Ramon Canal, Stefano Di Carlo, Cristiano Pegoraro Chenet, Juanjo Costa, Andreu Girones, Dimitris Gizopoulos, Vasileios Karakostas, Beatriz Otero, George Papadimitriou, Eva Rodríguez, Alessandro Savino:
Validation, Verification, and Testing (VVT) of future RISC-V powered cloud infrastructures: the Vitamin-V Horizon Europe Project perspective. ETS 2023: 1-6 - Jackson Woodruff, David Schall, Michael F. P. O'Boyle, Christopher Woodruff:
When Does Saving Power Save the Planet? HotCarbon 2023: 20:1-20:6 - Diego Carraro, Andrea Rossi, Andrea Visentin, Steven D. Prestwich, Kenneth N. Brown:
Performance and Energy Savings Trade-Off with Uncertainty-Aware Cloud Workload Forecasting. ICNP 2023: 1-6 - Giovanni Apruzzese, Hyrum S. Anderson, Savino Dambra, David Freeman, Fabio Pierazzi, Kevin A. Roundy:
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice. SaTML 2023: 339-364 - David Cavalcanti, Danny Hughes, Nelson S. Rosa:
An Adaptive Energy Saving Mechanism for Middleware of Things. SoftCOM 2023: 1-6 - Jacopo Tagliabue, Hugo Bowne-Anderson, Ville Tuulos, Savin Goyal, Romain Cledat, David Berg:
Reasonable Scale Machine Learning with Open-Source Metaflow. CoRR abs/2303.11761 (2023) - Marti Alonso, David Andreu, Ramon Canal, Stefano Di Carlo, Cristiano Pegoraro Chenet, Juanjo Costa, Andreu Girones, Dimitris Gizopoulos, Vasileios Karakostas, Beatriz Otero, George Papadimitriou, Eva Rodríguez, Alessandro Savino:
Validation, Verification, and Testing (VVT) of future RISC-V powered cloud infrastructures: the Vitamin-V Horizon Europe Project perspective. CoRR abs/2305.01983 (2023) - Savino Dambra, Yufei Han, Simone Aonzo, Platon Kotzias, Antonino Vitale, Juan Caballero, Davide Balzarotti, Leyla Bilge:
Decoding the Secrets of Machine Learning in Malware Classification: A Deep Dive into Datasets, Feature Extraction, and Model Performance. CoRR abs/2307.14657 (2023) - Rohan Anil, Sebastian Borgeaud, Yonghui Wu, Jean-Baptiste Alayrac, Jiahui Yu, Radu Soricut, Johan Schalkwyk, Andrew M. Dai, Anja Hauth, Katie Millican, David Silver, Slav Petrov, Melvin Johnson, Ioannis Antonoglou, Julian Schrittwieser, Amelia Glaese, Jilin Chen, Emily Pitler, Timothy P. Lillicrap, Angeliki Lazaridou, Orhan Firat, James Molloy, Michael Isard, Paul Ronald Barham, Tom Hennigan, Benjamin Lee, Fabio Viola, Malcolm Reynolds, Yuanzhong Xu, Ryan Doherty, Eli Collins, Clemens Meyer, Eliza Rutherford, Erica Moreira, Kareem Ayoub, Megha Goel, George Tucker, Enrique Piqueras, Maxim Krikun, Iain Barr, Nikolay Savinov, Ivo Danihelka, Becca Roelofs, Anaïs White, Anders Andreassen, Tamara von Glehn, Lakshman Yagati, Mehran Kazemi, Lucas Gonzalez, Misha Khalman, Jakub Sygnowski, et al.:
Gemini: A Family of Highly Capable Multimodal Models. CoRR abs/2312.11805 (2023) - 2022
- Luigi Bellomarini, Lorenzo Bencivelli, Claudia Biancotti, Livia Blasi, Francesco Paolo Conteduca, Andrea Gentili, Rosario Laurendi, Davide Magnanimi, Michele Savini Zangrandi, Flavia Tonelli, Stefano Ceri, Davide Benedetto, Markus Nissl, Emanuel Sallinger:
Reasoning on company takeovers: From tactic to strategy. Data Knowl. Eng. 141: 102073 (2022) - Nico Castelli, Aparecido Fabiano Pinatti de Carvalho, Nico Vitt, Sebastian Taugerbeck, Dave Randall, Peter Tolmie, Gunnar Stevens, Volker Wulf:
On technology-assisted energy saving: challenges of digital plumbing in industrial settings. Hum. Comput. Interact. 37(4): 341-369 (2022) - David Muchangi Mugo:
Transforming savings and credit cooperatives societies in Kenya using mobile technology services. Int. J. Bus. Inf. Syst. 40(4): 560-579 (2022) - Davide Palitta, Sanda Lefteriu:
An Efficient, Memory-Saving Approach for the Loewner Framework. J. Sci. Comput. 91(1): 31 (2022) - Elisa Mammoliti, Francesco Di Stefano, Davide Fronzi, Adriano Mancini, Eva Savina Malinverni, Alberto Tazioli:
A Machine Learning Approach to Extract Rock Mass Discontinuity Orientation and Spacing, from Laser Scanner Point Clouds. Remote. Sens. 14(10): 2365 (2022) - Yuan Zhang, David Koepke, Bibo Hao, Jing Mei, Xu Min, Rachna Gupta, Rajashree Joshi, Fiona McNaughton, Zhan-Heng Chen, Bo-Wei Zhao, Lun Hu, Pengwei Hu:
Cost and Care Insight: An Interactive and Scalable Hierarchical Learning System for Identifying Cost Saving Opportunities. ICIC (1) 2022: 739-752 - Antonio Napoli, Zdravko Stevkovski, José D. M. Jiménez, Edward J. E. Zuleta, Johan Bäck, João Pedro, Julia Rodríguez, Rafael Diaz, Jose Carrallo, Atul Mathur, Juan Pedro Fernández-Palacios Gimenez, Fady Masoud, Dave Welch:
Enabling Router Bypass and Saving Cost using Point-to-Multipoint Transceivers for Traffic Aggregation. OFC 2022: 1-3 - Milan Bankovic, David Scepanovic:
Trail Saving in SMT. SMT 2022: 2-17 - Savino Dambra, Iskander Sánchez-Rola, Leyla Bilge, Davide Balzarotti:
When Sally Met Trackers: Web Tracking From the Users' Perspective. USENIX Security Symposium 2022: 2189-2206 - Anthony Zador, Blake A. Richards, Bence Ölveczky, Sean Escola, Yoshua Bengio, Kwabena Boahen, Matthew M. Botvinick, Dmitri B. Chklovskii, Anne Churchland, Claudia Clopath, James DiCarlo, Surya Ganguli, Jeff Hawkins, Konrad P. Körding, Alexei A. Koulakov, Yann LeCun, Timothy P. Lillicrap, Adam H. Marblestone, Bruno A. Olshausen, Alexandre Pouget, Cristina Savin, Terrence J. Sejnowski, Eero P. Simoncelli, Sara A. Solla, David Sussillo, Andreas S. Tolias, Doris Tsao:
Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution. CoRR abs/2210.08340 (2022)
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