Norbert Tsopzé

Orcid: 0000-0003-3017-1495

According to our database1, Norbert Tsopzé authored at least 27 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
GRAPGT: GRAdual patterns with gradualness threshold.
Int. J. Gen. Syst., July, 2023

Extraction d'itemsets graduels de haute utilité.
Proceedings of the Extraction et Gestion des Connaissances, 2023

Utility-Oriented Gradual Itemsets Mining Using High Utility Itemsets Mining.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2023

2022
Une approche basée sur les motifs graduels pour la recommandation dans un contexte de consommation répétée.
Proceedings of the Extraction et Gestion des Connaissances, 2022

2021
Correlation and dimension relevance in multidimensional networks: a systematic taxonomy.
Soc. Netw. Anal. Min., 2021

Skills prediction based on multi-label resume classification using CNN with model predictions explanation.
Neural Comput. Appl., 2021

Boolean factor based community extraction from directed networks with the non reciprocal link relationship.
Inf. Sci., 2021

GPoID : Extraction de Motifs Graduels pour les Bases de Données Imprécises.
Proceedings of the Extraction et Gestion des Connaissances, 2021

2020
Community structure extraction in directed network using triads.
Int. J. Gen. Syst., 2020

Simplifying the explanation of deep neural networks with sufficient and necessary feature-sets: case of text classification.
CoRR, 2020

Discovering Frequent Gradual Itemsets with Imprecise Data.
CoRR, 2020

Extraction des caractéristiques lexico-grammaticales et couplage des unités CRF (Conditional Random Field) au réseau de neurones profond pour l'extraction des aspects.
ARIMA J., 2020

2019
Approche hiérarchique d’extraction des compétences dans des CVs en format PDF.
ARIMA J., 2019

2018
Using Boolean factors for the construction of an artificial neural networks.
Int. J. Gen. Syst., 2018

2017
Nouvelle approche de clustering par kernel-pattern via la densité en triades.
Proceedings of the COnférence en Recherche d'Informations et Applications, 2017

2016
Boolean factors based Artificial Neural Network.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Towards ontology-based retrieval of historical images.
Appl. Ontology, 2015

2014
Towards a constructive multilayer perceptron for regression task using non-parametric clustering. A case study of Photo-Z redshift reconstruction.
CoRR, 2014

2012
Une approche basée sur les treillis de Galois pour la définition des architectures des réseaux de neurones.
Tech. Sci. Informatiques, 2012

Ontologies et relations spatiales dans la lecture d'une bande dessinée.
Proceedings of the IC 2012 : 23es journées Ingénierie des Connaissances (Proceedings of the 23rd French Knowledge Engineering Conference), 2012

2011
Extracting Both MofN Rules and if-then Rules from the Training Neural Networks.
Proceedings of the Seventh International Workshop on Neural-Symbolic Learning and Reasoning, 2011

Towards a generalization of decompositional approach of rule extraction from multilayer artificial neural network.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Robust Frame and Text Extraction from Comic Books.
Proceedings of the Graphics Recognition. New Trends and Challenges, 2011

2009
M-CLANN: Multiclass Concept Lattice-Based Artificial Neural Network.
Proceedings of the Constructive Neural Networks, 2009

2008
M-CLANN: Multi-class Concept Lattice-Based Artificial Neural Network for Supervised Classification.
Proceedings of the Artificial Neural Networks, 2008

2007
Une étude des algorithmes de construction d'architecture des réseaux de neurones multicouches.
Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007

CLANN: Concept Lattice-based Artificial Neural Network for Supervised Classification.
Proceedings of the Fifth International Conference on Concept Lattices and Their Applications, 2007


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