Arnaud Nguembang Fadja

According to our database, Arnaud Nguembang Fadja authored at least 15 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Balancing Performance and Fairness in Explainable AI for Anomaly Detection in Distributed Power Plants Monitoring.

Corneille Niyonkuru, Marcellin Atemkeng, Gabin Maxime Nguegnang, Arnaud Nguembang Fadja

CoRR, March, 2026

2024

Ensemble learning and deep learning-based defect detection in power generation plants.

Marcellin Atemkeng, Victor Osanyindoro, Rockefeller Rockefeller, Sisipho Hamlomo, Jecinta Mulongo, Theophilus Ansah-Narh, Franklin Tchakounté, Arnaud Nguembang Fadja

J. Intell. Syst., February, 2024

Intelligent Vision System with Pruning and Web Interface for Real-Time Defect Detection on African Plum Surfaces.

Arnaud Nguembang Fadja, Sain Rigobert Che, Marcellin Atemkemg

Inf., 2024

2023

Label Assisted Autoencoder for Anomaly Detection in Power Generation Plants.

Marcellin Atemkeng, Victor Osanyindoro, Rockefeller Rockefeller, Sisipho Hamlomo, Jecinta Mulongo, Theophilus Ansah-Narh, Franklin Tchakounté, Arnaud Nguembang Fadja

CoRR, 2023

2022

Neural-Symbolic Ensemble Learning for early-stage prediction of critical state of Covid-19 patients.

Arnaud Nguembang Fadja, Michele Fraccaroli, Alice Bizzarri, Giulia Mazzuchelli, Evelina Lamma

Medical Biol. Eng. Comput., 2022

2021

Learning hierarchical probabilistic logic programs.

Arnaud Nguembang Fadja, Fabrizio Riguzzi, Evelina Lamma

Mach. Learn., 2021

Identification of natural selection in genomic data with deep convolutional neural network.

Arnaud Nguembang Fadja, Fabrizio Riguzzi, Giorgio Bertorelle, Emiliano Trucchi

BioData Min., 2021

2020

Scalable Probabilistic Inductive Logic Programming for Big Data.

Arnaud Nguembang Fadja

PhD thesis, 2020

2019

Lifted discriminative learning of probabilistic logic programs.

Arnaud Nguembang Fadja, Fabrizio Riguzzi

Mach. Learn., 2019

2018

Learning the Parameters of Deep Probabilistic Logic Programs.

Arnaud Nguembang Fadja, Fabrizio Riguzzi, Evelina Lamma

Proceedings of the 5th International Workshop on Probabilistic Logic Programming, 2018

Expectation Maximization in Deep Probabilistic Logic Programming.

Arnaud Nguembang Fadja, Fabrizio Riguzzi, Evelina Lamma

Proceedings of the AI*IA 2018 - Advances in Artificial Intelligence, 2018

Vision Inspection with Neural Networks.

Arnaud Nguembang Fadja, Evelina Lamma, Fabrizio Riguzzi

Proceedings of the RiCeRcA Workshop co-located with the 17th International Conference of the Italian Association for Artificial Intelligence, 2018

Deep Learning for Probabilistic Logic Programming.

Arnaud Nguembang Fadja

Proceedings of the AI*IA Doctoral Consortium (DC) co-located with the 17th Conference of the Italian Association for Artificial Intelligence (AI*IA 2018), 2018

2017

Deep Probabilistic Logic Programming.

Arnaud Nguembang Fadja, Evelina Lamma, Fabrizio Riguzzi

Proceedings of the Workshop on Probabilistic Logic Programming 2017 co-located with 27th International Conference on Inductive Logic Programming (ILP 2017), 2017

2015

Probabilistic Logic Programming in Action.

Arnaud Nguembang Fadja, Fabrizio Riguzzi

Proceedings of the Towards Integrative Machine Learning and Knowledge Extraction, 2015