CLANN: Concept Lattice-based Artificial Neural Network for Supervised Classification. - Norbert Tsopzé; Engelbert Mephu Nguifo; Gilbert Tindo (CLA, 2007)

Une étude des algorithmes de construction d'architecture des réseaux de neurones multicouches. - Norbert Tsopzé; Engelbert Mephu Nguifo; Gilbert Tindo (EGC, 2007)

M-CLANN: Multi-class Concept Lattice-Based Artificial Neural Network for Supervised Classification. - Engelbert Mephu Nguifo; Norbert Tsopzé; Gilbert Tindo (ICANN (2), 2008)

M-CLANN: Multiclass Concept Lattice-Based Artificial Neural Network. - Engelbert Mephu Nguifo; Norbert Tsopzé; Gilbert Tindo (Constructive Neural Networks, 2009)

Robust Frame and Text Extraction from Comic Books. - Christophe Rigaud; Norbert Tsopzé; Jean-Christophe Burie; Jean-Marc Ogier (GREC, 2011)

Towards a generalization of decompositional approach of rule extraction from multilayer artificial neural network. - Norbert Tsopzé; Engelbert Mephu Nguifo; Gilbert Tindo (IJCNN, 2011)

Extracting Both MofN Rules and if-then Rules from the Training Neural Networks. - Norbert Tsopzé; Engelbert Mephu Nguifo; Gilbert Tindo (NeSy, 2011)

Ontologies et relations spatiales dans la lecture d'une bande dessinée. - Norbert Tsopzé; Clément Guérin; Karell Bertet; Arnaud Revel (IC, 2012)

Une approche basée sur les treillis de Galois pour la définition des architectures des réseaux de neurones. - Norbert Tsopzé; Engelbert Mephu Nguifo; Gilbert Tindo (Tech. Sci. Informatiques, 2012)

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; Cécile Roucelle; Gaëlle Bonnet-Loosli; Norbert Tsopzé (CoRR, 2014)

Towards ontology-based retrieval of historical images. - Mickaël Coustaty; Norbert Tsopzé; Alain Bouju; Karell Bertet; Georges Louis (Appl. Ontology, 2015)

Boolean factors based Artificial Neural Network. - Lauraine Tiogning Kueti; Norbert Tsopzé; Cezar Mbiethieu; Engelbert Mephu Nguifo; Laure Pauline Fotso (IJCNN, 2016)

Nouvelle approche de clustering par kernel-pattern via la densité en triades. - Félicité Gamgne Domgue; Norbert Tsopzé; Arnaud Ahouandjinou (CORIA, 2017)

Using Boolean factors for the construction of an artificial neural networks. - Lauraine Tiogning Kueti; Norbert Tsopzé; Cezar Mbiethieu; Engelbert Mephu Nguifo; Laure Pauline Fotso (Int. J. Gen. Syst., 2018)

Approche hiérarchique d’extraction des compétences dans des CVs en format PDF. - Florentin Flambeau Jiechieu Kameni; Norbert Tsopzé (ARIMA J., 2019)

Extraction des caractéristiques lexico-grammaticales et couplage des unités CRF (Conditional Random Field) au réseau de neurones profond pour l'extraction des aspects. - Saint Germes Bienvenu Bengono Obiang; Norbert Tsopzé (ARIMA J., 2020)

Discovering Frequent Gradual Itemsets with Imprecise Data. - Michaël Chirmeni Boujike; Jerry Lonlac; Norbert Tsopzé; Engelbert Mephu Nguifo (CoRR, 2020)

Simplifying the explanation of deep neural networks with sufficient and necessary feature-sets: case of text classification. - Florentin Flambeau Jiechieu Kameni; Norbert Tsopzé (CoRR, 2020)

Community structure extraction in directed network using triads. - Félicité Gamgne Domgue; Norbert Tsopzé; René Ndoundam (Int. J. Gen. Syst., 2020)

GPoID : Extraction de Motifs Graduels pour les Bases de Données Imprécises. - Michaël Chirmeni Boujike; Jerry Lonlac; Norbert Tsopzé; Engelbert Mephu Nguifo (EGC, 2021)

Boolean factor based community extraction from directed networks with the non reciprocal link relationship. - Norbert Tsopzé; Félicité Gamgne Domgue (Inf. Sci., 2021)

Skills prediction based on multi-label resume classification using CNN with model predictions explanation. - Florentin Flambeau Jiechieu Kameni; Norbert Tsopzé (Neural Comput. Appl., 2021)

Correlation and dimension relevance in multidimensional networks: a systematic taxonomy. - Félicité Gamgne Domgue; Norbert Tsopzé; René Ndoundam (Soc. Netw. Anal. Min., 2021)

Une approche basée sur les motifs graduels pour la recommandation dans un contexte de consommation répétée. - Michaël Chirmeni Boujike; Norbert Tsopzé; Jerry Lonlac; Rosette Nganmeni Njamnou; Engelbert Mephu Nguifo; Laure Pauline Fotso (EGC, 2022)

Utility-Oriented Gradual Itemsets Mining Using High Utility Itemsets Mining. - Priscile Audrey Fongue Assondji; Jerry Lonlac; Norbert Tsopzé (DaWaK, 2023)

Extraction d'itemsets graduels de haute utilité. - Priscile Audrey Fongue Assondji; Jerry Lonlac; Norbert Tsopzé (EGC, 2023)

GRAPGT: GRAdual patterns with gradualness threshold. - Michaël Chirmeni Boujike; Jerry Lonlac; Norbert Tsopzé; Engelbert Mephu Nguifo; Laure Pauline Fotso (Int. J. Gen. Syst., 2023)

Une Etude Comparative entre Motifs Graduels et Corrélations Statistiques. - Maureen Domche; Jerry Lonlac; Norbert Tsopzé; Engelbert Mephu Nguifo (EGC, 2024)

UCAD: commUnity disCovery method in Attribute-based multicoloreD networks. - Félicité Gamgne Domgue; Norbert Tsopzé; René Ndoundam (Knowl. Inf. Syst., 2024)

Improving Tone Recognition Performance using Wav2vec 2.0-Based Learned Representation in Yoruba, a Low-Resourced Language. - Saint Germes Bienvenu Bengono Obiang; Norbert Tsopzé; Paulin Melatagia Yonta; Jean-François Bonastre; Tania Jiménez (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2024)

Epidemic threshold: a light spectral and structural approach of prediction. - Claude Kanyou; Etienne Kouokam; Norbert Tsopzé (Netw. Model. Anal. Health Informatics Bioinform., 2025)