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Tommaso Bendinelli

8 papers hereh-index 7377 citations11 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author4

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.CV2
  • eess.SP1

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedNeural Symbolic Regression that Scales

28 citations · 44 across the 7 of their papers we have counts for

collaborators
Showing 2023Show all

3 papers · 1 filter

eess.SP2023

Optimizing IoT-Based Asset and Utilization Tracking: Efficient Activity Classification with MiniRocket on Resource-Constrained Devices

Marco Giordano, Silvano Cortesi, Michele Crabolu +6

This paper introduces an effective solution for retrofitting construction power tools with low-power IoT to enable accurate activity classification. We address the challenge of dis…

cs.CV2023

Gemtelligence: Accelerating Gemstone classification with Deep Learning

Tommaso Bendinelli, Luca Biggio, Daniel Nyfeler +4

The value of luxury goods, particularly investment-grade gemstones, is greatly influenced by their origin and authenticity, sometimes resulting in differences worth millions of dol…

cs.LG2023★ 1 cited

Controllable Neural Symbolic Regression

Tommaso Bendinelli, Luca Biggio, Pierre-Alexandre Kamienny

In symbolic regression, the goal is to find an analytical expression that accurately fits experimental data with the minimal use of mathematical symbols such as operators, variable…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.