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Arnaud Nguembang Fadja

Arnaud Nguembang Fadja's photo
PostDoc Research fellow
Dipartimento di Ingegneria, Università di Ferrara,
Laboratorio 331
Blocco A, Polo scientifico
University of Ferrara
via saragat, 1, 44121, Ferrara, Italy
Tel: +39 0532 97 4827 Fax: +39 0532 97 4827
E-Mail: ngmrnd@unife.it
Ricevimento: su appuntamento richiesto via email o telefono.

You can find my updated personal home page at http://www.arnaud-fadja.it/.

Publications

International Journals

[5] Arnaud Nguembang Fadja, Giuseppe Cota, Francesco Bertasi, Fabrizio Riguzzi, Enzo Losi, Lucrezia Manservigi, Mauro Venturini, and Giovanni Bechini. Machine learning approaches for the prediction of gas turbine transients. Journal of Computer Science, 20(5):495--510, Feb 2024. [ bib | DOI | http ]
[4] Arnaud Nguembang Fadja, Michele Fraccaroli, Alice Bizzarri, Giulia Mazzuchelli, and Evelina Lamma. Neural-symbolic ensemble learning for early-stage prediction of critical state of covid-19 patients. Medical & Biological Engineering & Computing, 2022. [ bib | DOI | http ]
[3] Arnaud Nguembang Fadja, Fabrizio Riguzzi, Giorgio Bertorelle, and Emiliano Trucchi. Identification of natural selection in genomic data with deep convolutional neural network. BioData Mining, 14(1):51, 2021. [ bib | DOI ]
[2] Arnaud Nguembang Fadja, Fabrizio Riguzzi, and Evelina Lamma. Learning hierarchical probabilistic logic programs. Machine Learning, 110(7):1637--1693, © Springer, 2021. [ bib | DOI | .pdf ]
[1] Arnaud Nguembang Fadja and Fabrizio Riguzzi. Lifted discriminative learning of probabilistic logic programs. Machine Learning, 108(7):1111--1135, © Springer, 2019. [ bib | DOI ]

Book Chapters

[1] Arnaud Nguembang Fadja and Fabrizio Riguzzi. Probabilistic logic programming in action. In Andreas Holzinger, Randy Goebel, Massimo Ferri, and Vasile Palade, editors, Towards Integrative Machine Learning and Knowledge Extraction: BIRS Workshop, Banff, AB, Canada, July 24-26, 2015, Revised Selected Papers, volume 10344 of Lecture Notes in Computer Science, pages 89--116. Springer, Heidelberg, Germany, © Springer, 2017. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-69775-8_5. [ bib | DOI | .pdf ]

International Conferences

[2] Arnaud Nguembang Fadja, Fabrizio Riguzzi, and Evelina Lamma. Expectation maximization in deep probabilistic logic programming. In Chiara Ghidini, Bernardo Magnini, and Andrea Passerini, editors, Proceedings of the 17th Conference of the Italian Association for Artificial Intelligence (AI*IA2018), Trento, Italy, 20-23 November, 2018, volume 11298 of Lecture Notes in Computer Science, pages 293--306, Heidelberg, Germany, 2018. © Springer, Springer. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-030-03840-3_22. [ bib | DOI | .pdf ]
[1] Arnaud Nguembang Fadja and Fabrizio Riguzzi. Lifted discriminative learning of probabilistic logic programs. In Nicolas Lachiche and Christel Vrain, editors, 27th International Conference on Inductive Logic Programming, ILP 2017, 2017. [ bib | .pdf ]

International Workshops

[4] Arnaud Nguembang Fadja, Evelina Lamma, and Fabrizio Riguzzi. Vision inspection with neural networks. In Marco Maratea and Mauro Vallati, editors, R.i.C.e.R.c.A: RCRA Incontri E Confronti, Proceedings of the RiCeRcA Workshop co-located with the 17th International Conference of the Italian Association for Artificial Intelligence (Ai*iA 2018), volume 2272 of CEUR Workshop Proceedings, pages 1--10, Aachen, Germany, 2018. © by the authors, Sun SITE Central Europe. [ bib | .pdf ]
[3] Arnaud Nguembang Fadja, Fabrizio Riguzzi, and Evelina Lamma. Deep learning for probabilistic logic programming. In Marco Rospocher, Luciano Serafini, and Sara Tonelli, editors, AI*IA 2018 Doctoral Consortium, Proceedings of the AI*IA Doctoral Consortium (DC), volume 2249 of CEUR Workshop Proceedings, pages 43--47, Aachen, Germany, 2018. © by the authors, Sun SITE Central Europe. [ bib | .pdf ]
[2] Arnaud Nguembang Fadja, Fabrizio Riguzzi, and Evelina Lamma. Learning the parameters of deep probabilistic logic programs. In Elena Bellodi and Tom Schrijvers, editors, Probabilistic Logic Programming (PLP 2018), volume 2219 of CEUR Workshop Proceedings, pages 9--14, Aachen, Germany, 2018. © by the authors, Sun SITE Central Europe. [ bib | .pdf ]
[1] Arnaud Nguembang Fadja, Evelina Lamma, and Fabrizio Riguzzi. Deep probabilistic logic programming. In Christian Theil Have and Riccardo Zese, editors, Proceedings of the 4th International Workshop on Probabilistic logic programming, (PLP 2017), volume 1916 of CEUR Workshop Proceedings, pages 3--14, Aachen, Germany, 2017. Sun SITE Central Europe. [ bib | .pdf ]