Arnaud Nguembang Fadja

15 papers Journal 8Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Balancing Performance and Fairness in Explainable AI for Anomaly Detection in Distributed Power Plants Monitoring.
CoRR
Corneille Niyonkuru, Marcellin Atemkeng, Gabin Maxime Nguegnang, Arnaud Nguembang Fadja
2024 J jnl
Ensemble learning and deep learning-based defect detection in power generation plants.
J. Intell. Syst.
Marcellin Atemkeng, Victor Osanyindoro, Rockefeller Rockefeller, Sisipho Hamlomo, Jecinta Mulongo, Theophilus Ansah-Narh, Franklin Tchakounté, Arnaud Nguembang Fadja
2024 J jnl
Intelligent Vision System with Pruning and Web Interface for Real-Time Defect Detection on African Plum Surfaces.
Inf.
Arnaud Nguembang Fadja, Sain Rigobert Che, Marcellin Atemkemg
2023 J jnl
Label Assisted Autoencoder for Anomaly Detection in Power Generation Plants.
CoRR
Marcellin Atemkeng, Victor Osanyindoro, Rockefeller Rockefeller, Sisipho Hamlomo, Jecinta Mulongo, Theophilus Ansah-Narh, Franklin Tchakounté, Arnaud Nguembang Fadja
2022 J jnl
Neural-Symbolic Ensemble Learning for early-stage prediction of critical state of Covid-19 patients.
Medical Biol. Eng. Comput.
Arnaud Nguembang Fadja, Michele Fraccaroli, Alice Bizzarri, Giulia Mazzuchelli, Evelina Lamma
2021 J jnl
Identification of natural selection in genomic data with deep convolutional neural network.
BioData Min.
Arnaud Nguembang Fadja, Fabrizio Riguzzi, Giorgio Bertorelle, Emiliano Trucchi
2021 J jnl
Learning hierarchical probabilistic logic programs.
Mach. Learn.
Arnaud Nguembang Fadja, Fabrizio Riguzzi, Evelina Lamma
2020 — —
Scalable Probabilistic Inductive Logic Programming for Big Data.
Arnaud Nguembang Fadja
2019 J jnl
Lifted discriminative learning of probabilistic logic programs.
Mach. Learn.
Arnaud Nguembang Fadja, Fabrizio Riguzzi
2018 — conf
Deep Learning for Probabilistic Logic Programming.
DC@AI*IA
Arnaud Nguembang Fadja
2018 — conf
Expectation Maximization in Deep Probabilistic Logic Programming.
AI*IA
Arnaud Nguembang Fadja, Fabrizio Riguzzi, Evelina Lamma
2018 — conf
Learning the Parameters of Deep Probabilistic Logic Programs.
PLP@ILP
Arnaud Nguembang Fadja, Fabrizio Riguzzi, Evelina Lamma
2018 — conf
Vision Inspection with Neural Networks.
RiCeRcA@AI*IA
Arnaud Nguembang Fadja, Evelina Lamma, Fabrizio Riguzzi
2017 — conf
Deep Probabilistic Logic Programming.
PLP@ILP
Arnaud Nguembang Fadja, Evelina Lamma, Fabrizio Riguzzi
2015 — conf
Probabilistic Logic Programming in Action.
BIRS-IMLKE
Arnaud Nguembang Fadja, Fabrizio Riguzzi