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Florent Avellaneda

4 papers here

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

author position
  • sole author1
  • first author1
  • middle author1
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.SE1

identity via Semantic Scholar / OpenAlex

activity
20182021
most citedLearning Optimal Decision Trees from Large Datasets

4 citations · 4 across the 2 of their papers we have counts for

collaborators

4 papers

cs.LG2021

Boolean Matrix Factorization with SAT and MaxSAT

Florent Avellaneda, Roger Villemaire

The Boolean matrix factorization problem consists in approximating a matrix by the Boolean product of two smaller Boolean matrices. To obtain optimal solutions when the matrices to…

cs.LG2020

An Approach to Evaluating Learning Algorithms for Decision Trees

Tianqi Xiao, Omer Nguena Timo, Florent Avellaneda +2

Learning algorithms produce software models for realising critical classification tasks. Decision trees models are simpler than other models such as neural network and they are use…

cs.LG2019★ 4 cited

Learning Optimal Decision Trees from Large Datasets

Florent Avellaneda

Inferring a decision tree from a given dataset is one of the classic problems in machine learning. This problem consists of buildings, from a labelled dataset, a tree such that eac…

cs.SE2018

Fault Detection for Timed FSM with Timeouts by Constraint Solving

Omer Nguena Timo, Dimitri Prestat, Florent Avellaneda

Recently, an efficient constraint solving-based approach has been developed to detect logical faults in systems specified with classical finite state machines (FSMs). The approach…

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