Nicola Di Mauro

Associate Professor, University of Bari

Joined

November 2016

Names

Nicola Di Mauro (Preferred)

Emails

****@uniba.it (Confirmed)

Personal Links

Homepage

DBLP

Career & Education History

Associate Professor

University of Bari (uniba.it)

Present

Advisors, Relations & Conflicts

Coauthor

Antonio Vergari

Present

Coauthor

Lorenzo Loconte

Present

Expertise

machine learning

Present

Publications

How to Turn Your Knowledge Graph Embeddings into Generative Models
Lorenzo Loconte, Nicola Di Mauro, Robert Peharz, Antonio Vergari
- NeurIPS 2023 oral
- Readers: Everyone
Your Knowledge Graph Embeddings are Secretly Circuits and You Should Treat Them as Such
Lorenzo Loconte, Nicola Di Mauro, Robert Peharz, Antonio Vergari
- Published: 26 Jul 2022, Last Modified: 17 May 2023
- TPM 2022
- Readers: Everyone
Random Probabilistic Circuits
Nicola Di Mauro, Gennaro Gala, Marco Iannotta, Teresa M.A. Basile
- Published: 25 Jul 2021, Last Modified: 05 May 2023
- TPM 2021
- Readers: Everyone
Multi-Channel Deep Feature Learning for Intrusion Detection
Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba
- 2020 (modified: 22 Feb 2024)
- IEEE Access 2020
- Readers: Everyone
SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks
Alejandro Molina, Antonio Vergari, Karl Stelzner, Robert Peharz, Pranav Subramani, Nicola Di Mauro, Pascal Poupart, Kristian Kersting
- 2019 (modified: 05 May 2023)
- CoRR 2019
- Readers: Everyone
Visualizing and understanding Sum-Product Networks
Antonio Vergari, Nicola Di Mauro, Floriana Esposito
- 2019 (modified: 04 Nov 2022)
- Mach. Learn. 2019
- Readers: Everyone
Empowering Change Vector Analysis with Autoencoding in Bi-temporal Hyperspectral Images
Annalisa Appice, Nicola Di Mauro, Francesco Lomuscio, Donato Malerba
- 2019 (modified: 22 Feb 2024)
- MACLEAN@PKDD/ECML 2019
- Readers: Everyone
Leveraging Shallow Machine Learning to Predict Business Process Behavior
Annalisa Appice, Nicola Di Mauro, Donato Malerba
- 2019 (modified: 22 Feb 2024)
- SCC 2019
- Readers: Everyone
Exploiting the Auto-Encoder Residual Error for Intrusion Detection
Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba
- 2019 (modified: 22 Feb 2024)
- EuroS&P Workshops 2019
- Readers: Everyone
Ensembles of density estimators for positive-unlabeled learning
Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito, Stefano Ferilli, Antonio Vergari
- 2019 (modified: 04 Nov 2022)
- J. Intell. Inf. Syst. 2019
- Readers: Everyone

View all 113 publications

Co-Authors

View all 47 co-authors