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Raphaël Azorin
ORCID
Publication Activity (10 Years)
Years Active: 2021-2024
Publications (10 Years): 8
Top Topics
Random Forest
Tree Ensembles
Data Structure
Iterative Deepening
Top Venues
CoRR
StudentWorkshop@CoNEXT
CoNEXT (Companion)
PACMNET
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Publications
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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) (2024)
Raphaël Azorin
,
Zied Ben-Houidi
,
Massimo Gallo
,
Alessandro Finamore
,
Pietro Michiardi
Fine-grained Attention in Hierarchical Transformers for Tabular Time-series.
CoRR
(2024)
Raphaël Azorin
,
Massimo Gallo
,
Alessandro Finamore
,
Dario Rossi
,
Pietro Michiardi
"It's a Match!" - A Benchmark of Task Affinity Scores for Joint Learning.
CoRR
(2023)
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) (2023)
Andrea Monterubbiano
,
Raphaël Azorin
,
Gabriele Castellano
,
Massimo Gallo
,
Salvatore Pontarelli
,
Dario Rossi
Memory-efficient Random Forests in FPGA SmartNICs.
CoNEXT (Companion)
(2023)
Zied Ben-Houidi
,
Raphaël Azorin
,
Massimo Gallo
,
Alessandro Finamore
,
Dario Rossi
Towards a systematic multi-modal representation learning for network data.
HotNets
(2022)
Andrea Monterubbiano
,
Raphaël Azorin
,
Gabriele Castellano
,
Massimo Gallo
,
Salvatore Pontarelli
Learned data structures for per-flow measurements.
StudentWorkshop@CoNEXT
(2022)
Raphaël Azorin
,
Massimo Gallo
,
Alessandro Finamore
,
Maurizio Filippone
,
Pietro Michiardi
,
Dario Rossi
Towards a generic deep learning pipeline for traffic measurements.
StudentWorkshop@CoNEXT
(2021)