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Norbert Tsopzé

3 papers hereh-index 7182 citations25 works total

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

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.NE1

identity via Semantic Scholar / OpenAlex

most citedTowards a constructive multilayer perceptron for regression task using non-parametric clustering. A case study of Photo-Z redshift reconstruction

3 citations · 5 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2020★ 1 cited

Simplifying the explanation of deep neural networks with sufficient and necessary feature-sets: case of text classification

Jiechieu Kameni Florentin Flambeau, Tsopze Norbert

During the last decade, deep neural networks (DNN) have demonstrated impressive performances solving a wide range of problems in various domains such as medicine, finance, law, etc…

cs.LG2020★ 1 cited

Discovering Frequent Gradual Itemsets with Imprecise Data

Michaël Chirmeni Boujike, Jerry Lonlac, Norbert Tsopze +1

The gradual patterns that model the complex co-variations of attributes of the form "The more/less X, The more/less Y" play a crucial role in many real world applications where the…

cs.NE2014★ 3 cited

Towards a constructive multilayer perceptron for regression task using non-parametric clustering. A case study of Photo-Z redshift reconstruction

Cyrine Arouri, Engelbert Mephu Nguifo, Sabeur Aridhi +3

The choice of architecture of artificial neuron network (ANN) is still a challenging task that users face every time. It greatly affects the accuracy of the built network. In fact…

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