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ORCIDRaphaël Azorin
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2020 – today
- 2024
[j2]Raphaël Azorin
, Andrea Monterubbiano, Gabriele Castellano, Massimo Gallo, Salvatore Pontarelli, Dario Rossi:
Taming the Elephants: Affordable Flow Length Prediction in the Data Plane. Proc. ACM Netw. 2(CoNEXT1): 1-24 (2024)- [i2]Raphaël Azorin, Zied Ben-Houidi, Massimo Gallo, Alessandro Finamore, Pietro Michiardi:
Fine-grained Attention in Hierarchical Transformers for Tabular Time-series. CoRR abs/2406.15327 (2024) - 2023
- [j1]Andrea Monterubbiano, Raphaël Azorin, Gabriele Castellano, Massimo Gallo, Salvatore Pontarelli, Dario Rossi:
SPADA: A Sparse Approximate Data Structure Representation for Data Plane Per-flow Monitoring. PACMNET 1(CoNEXT3): 27:1-27:25 (2023) - [c5]Andrea Monterubbiano, Raphaël Azorin, Gabriele Castellano, Massimo Gallo, Salvatore Pontarelli, Dario Rossi:
Memory-efficient Random Forests in FPGA SmartNICs. CoNEXT (Companion) 2023: 55-56 - [i1]Raphaël Azorin, Massimo Gallo, Alessandro Finamore, Dario Rossi, Pietro Michiardi:
"It's a Match!" - A Benchmark of Task Affinity Scores for Joint Learning. CoRR abs/2301.02873 (2023) - 2022
- [c4]Andrea Monterubbiano, Raphaël Azorin, Gabriele Castellano, Massimo Gallo, Salvatore Pontarelli:
Learned data structures for per-flow measurements. StudentWorkshop@CoNEXT 2022: 42-43 - [c3]Zied Ben-Houidi, Raphaël Azorin, Massimo Gallo, Alessandro Finamore, Dario Rossi:
Towards a systematic multi-modal representation learning for network data. HotNets 2022: 181-187 - 2021
- [c2]Raphaël Azorin, Massimo Gallo, Alessandro Finamore, Maurizio Filippone, Pietro Michiardi, Dario Rossi:
Towards a generic deep learning pipeline for traffic measurements. StudentWorkshop@CoNEXT 2021: 5-6 - [c1]Raphaël Azorin, Daniela Grigori, Khalid Belhajjame:
A Reproducible Approach for Mining Business Activities from Emails for Process Analytics. ICSOC Workshops 2021: 77-91
Coauthor Index
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