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Roberto Cavicchioli
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2020 – today
- 2024
- [c27]Jia-Cheng Hu, Roberto Cavicchioli, Giulia Berardinelli, Alessandro Capotondi:
ShareBERT: Embeddings Are Capable of Learning Hidden Layers. AAAI 2024: 18225-18233 - [c26]Roberto Cavicchioli, Jia-Cheng Hu, Marco Furini:
On Using Artificial Intelligence to Predict Music Playlist Success. CCNC 2024: 278-283 - [c25]Khaled Chikh, Chinmay Satish Shrivastav, Roberto Cavicchioli:
Collaborative Misbehaviour Response System for Improving Road Safety. CCNC 2024: 600-601 - [c24]Marco Picone, Stefano Mariani, Roberto Cavicchioli, Paolo Burgio, Arslane Hamza Cherif:
The Degree of Entanglement: Cyber-Physical Awareness in Digital Twin Applications. CCNC 2024: 736-744 - [c23]Jia-Cheng Hu, Roberto Cavicchioli, Giulia Berardinelli, Alessandro Capotondi:
Learning from Wrong Predictions in Low-Resource Neural Machine Translation. LREC/COLING 2024: 10263-10273 - [c22]Filippo Muzzini, Nicola Capodieci, Roberto Cavicchioli, Benjamin Rouxel:
High-Performance Feature Extraction for GPU -Accelerated ORB-SLAMx. DATE 2024: 1-2 - [i6]Jia-Cheng Hu, Roberto Cavicchioli, Alessandro Capotondi:
Bidirectional Awareness Induction in Autoregressive Seq2Seq Models. CoRR abs/2408.13959 (2024) - [i5]Jia-Cheng Hu, Roberto Cavicchioli, Alessandro Capotondi:
Shifted Window Fourier Transform And Retention For Image Captioning. CoRR abs/2408.13963 (2024) - 2023
- [j10]Gianluca Brilli, Roberto Cavicchioli, Marco Solieri, Paolo Valente, Andrea Marongiu:
Evaluating Controlled Memory Request Injection for Efficient Bandwidth Utilization and Predictable Execution in Heterogeneous SoCs. ACM Trans. Embed. Comput. Syst. 22(1): 7:1-7:25 (2023) - [c21]Jia-Cheng Hu, Roberto Cavicchioli, Alessandro Capotondi:
Exploiting Multiple Sequence Lengths in Fast End to End Training for Image Captioning. IEEE Big Data 2023: 2173-2182 - [c20]Jia-Cheng Hu, Roberto Cavicchioli, Alessandro Capotondi:
A Request for Clarity over the End of Sequence Token in the Self-Critical Sequence Training. ICIAP (1) 2023: 39-50 - [c19]Alessio Masola, Nicola Capodieci, Roberto Cavicchioli, Ignacio Sanudo Olmedo, Benjamin Rouxel:
Memory-Aware Latency Prediction Model for Concurrent Kernels in Partitionable GPUs: Simulations and Experiments. JSSPP 2023: 46-73 - [c18]Chinmay Satish Shrivastav, Alessio Masola, Nicola Capodieci, Roberto Cavicchioli:
Parking Lots Management and Visualization in the Smart City - Digital Twin context. MetaCom 2023: 185-192 - [c17]Enrico Rossini, Marcello Pietri, Roberto Cavicchioli, Marco Picone, Marco Mamei, Roberto Querio, Laura Colazzo, Roberto Procopio:
5G MEC Architecture for Vulnerable Road Users Management Through Smart City Data Fusion. MobiCom 2023: 112:1-112:3 - [c16]Jia-Cheng Hu, Roberto Cavicchioli, Giulia Berardinelli, Alessandro Capotondi:
Heterogeneous Encoders Scaling in the Transformer for Neural Machine Translation. NL4AI@AI*IA 2023 - [c15]Alessio Masola, Nicola Capodieci, Benjamin Rouxel, Giorgia Franchini, Roberto Cavicchioli:
Machine Learning Techniques for Understanding and Predicting Memory Interference in CPU-GPU Embedded Systems. RTCSA 2023: 147-156 - [c14]Filippo Muzzini, Nicola Capodieci, Roberto Cavicchioli, Benjamin Rouxel:
Brief Announcement: Optimized GPU-accelerated Feature Extraction for ORB-SLAM Systems. SPAA 2023: 299-302 - [i4]Jia-Cheng Hu, Roberto Cavicchioli, Alessandro Capotondi:
A request for clarity over the End of Sequence token in the Self-Critical Sequence Training. CoRR abs/2305.12254 (2023) - [i3]Jia-Cheng Hu, Roberto Cavicchioli, Giulia Berardinelli, Alessandro Capotondi:
Heterogeneous Encoders Scaling In The Transformer For Neural Machine Translation. CoRR abs/2312.15872 (2023) - 2022
- [j9]Nicola Capodieci, Paolo Burgio, Roberto Cavicchioli, Ignacio Sañudo Olmedo, Marco Solieri, Marko Bertogna:
Real-Time Requirements for ADAS Platforms Featuring Shared Memory Hierarchies. IEEE Des. Test 39(1): 35-41 (2022) - [j8]Roberto Cavicchioli, Riccardo Martoglia, Micaela Verucchi:
A Novel Real-Time Edge-Cloud Big Data Management and Analytics Framework for Smart Cities. J. Univers. Comput. Sci. 28(1): 3-26 (2022) - [j7]Nicola Capodieci, Roberto Cavicchioli, Andrea Marongiu:
A Taxonomy of Modern GPGPU Programming Methods: On the Benefits of a Unified Specification. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(6): 1649-1662 (2022) - [c13]Clara Canova, Francesca Pacella, Daniele Brevi, Michela Apruzzese, Roberto Cavicchioli:
Driving Safety & Awareness Cooperative Business Model exploiting the 5GMETA platform. FNWF 2022: 299-304 - [p1]Maria A. Serrano, Erez Hadad, Roberto Cavicchioli, Rut Palmero, Luca Chiantore, Danilo Amendola, Eduardo Quiñones:
Distributed Big Data Analytics in a Smart City. Technologies and Applications for Big Data Value 2022: 475-496 - [i2]Jia-Cheng Hu, Roberto Cavicchioli, Alessandro Capotondi:
ExpansionNet v2: Block Static Expansion in fast end to end training for Image Captioning. CoRR abs/2208.06551 (2022) - 2021
- [j6]Nicola Capodieci, Roberto Cavicchioli, Filippo Muzzini, Leonard Montagna:
Improving emergency response in the era of ADAS vehicles in the Smart City. ICT Express 7(4): 481-486 (2021) - [j5]Nicola Capodieci, Roberto Cavicchioli:
vkpolybench: A crossplatform Vulkan Compute port of the PolyBench/GPU benchmark suite. SoftwareX 15: 100793 (2021) - [j4]Houssam-Eddine Zahaf, Nicola Capodieci, Roberto Cavicchioli, Giuseppe Lipari, Marko Bertogna:
The HPC-DAG Task Model for Heterogeneous Real-Time Systems. IEEE Trans. Computers 70(10): 1747-1761 (2021) - 2020
- [c12]Micaela Verucchi, Gianluca Brilli, Davide Sapienza, Mattia Verasani, Marco Arena, Francesco Gatti, Alessandro Capotondi, Roberto Cavicchioli, Marko Bertogna, Marco Solieri:
A Systematic Assessment of Embedded Neural Networks for Object Detection. ETFA 2020: 937-944 - [c11]Roberto Cavicchioli, Nicola Capodieci, Marco Solieri, Marko Bertogna, Paolo Valente, Andrea Marongiu:
Evaluating Controlled Memory Request Injection to Counter PREM Memory Underutilization. JSSPP 2020: 85-105 - [c10]Nicola Capodieci, Roberto Cavicchioli, Ignacio Sañudo Olmedo, Marco Solieri, Marko Bertogna:
Contending memory in heterogeneous SoCs: Evolution in NVIDIA Tegra embedded platforms. RTCSA 2020: 1-10
2010 – 2019
- 2019
- [j3]Roberto Cavicchioli, Nicola Capodieci, Marco Solieri, Marko Bertogna:
API Comparison of CPU-To-GPU Command Offloading Latency on Embedded Platforms (Artifact). Dagstuhl Artifacts Ser. 5(1): 04:1-04:3 (2019) - [c9]Roberto Cavicchioli, Nicola Capodieci, Marco Solieri, Marko Bertogna:
Novel Methodologies for Predictable CPU-To-GPU Command Offloading. ECRTS 2019: 22:1-22:22 - [i1]Houssam-Eddine Zahaf, Nicola Capodieci, Roberto Cavicchioli, Marko Bertogna, Giuseppe Lipari:
A C-DAG task model for scheduling complex real-time tasks on heterogeneous platforms: preemption matters. CoRR abs/1901.02450 (2019) - 2018
- [j2]Ignacio Sanudo Olmedo, Roberto Cavicchioli, Nicola Capodieci, Paolo Valente, Marko Bertogna:
A survey on shared disk I/O management in virtualized environments under real time constraints. SIGBED Rev. 15(1): 57-63 (2018) - [c8]Nicola Capodieci, Roberto Cavicchioli, Marko Bertogna:
NVIDIA GPU scheduling details in virtualized environments: work-in-progress. EMSOFT 2018: 12 - [c7]Ignacio Sanudo Olmedo, Nicola Capodieci, Roberto Cavicchioli:
A Perspective on Safety and Real-Time Issues for GPU Accelerated ADAS. IECON 2018: 4071-4077 - [c6]Nicola Capodieci, Roberto Cavicchioli, Marko Bertogna, Aingara Paramakuru:
Deadline-Based Scheduling for GPU with Preemption Support. RTSS 2018: 119-130 - 2017
- [j1]Paolo Burgio, Marko Bertogna, Nicola Capodieci, Roberto Cavicchioli, Michal Sojka, Premysl Houdek, Andrea Marongiu, Paolo Gai, Claudio Scordino, Bruno Morelli:
A software stack for next-generation automotive systems on many-core heterogeneous platforms. Microprocess. Microsystems 52: 299-311 (2017) - [c5]Roberto Cavicchioli, Nicola Capodieci, Marko Bertogna:
Memory interference characterization between CPU cores and integrated GPUs in mixed-criticality platforms. ETFA 2017: 1-10 - [c4]Nicola Capodieci, Roberto Cavicchioli, Paolo Valente, Marko Bertogna:
SiGAMMA: server based integrated GPU arbitration mechanism for memory accesses. RTNS 2017: 48-57 - 2016
- [c3]Ignacio Sanudo Olmedo, Roberto Cavicchioli, Nicola Capodieci, Paolo Valente, Marko Bertogna:
A Survey on Shared I/O Management in Virtualized Environments under Real Time Constraints. EWiLi 2016 - 2015
- [c2]G. Sereni, Luca Vandelli, Roberto Cavicchioli, Luca Larcher, Dmitry Veksler, Gennadi Bersuker:
Substrate and temperature influence on the trap density distribution in high-k III-V MOSFETs. IRPS 2015: 2 - 2013
- [c1]Roberto Cavicchioli, Caroline Chaux, Laure Blanc-Féraud, Luca Zanni:
ML estimation of wavelet regularization hyperparameters in inverse problems. ICASSP 2013: 1553-1557
Coauthor Index
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last updated on 2024-10-07 22:09 CEST by the dblp team
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