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Luciano Serafini

Luciano Serafini

D-Index & Metrics

Computer Science

D-Index
47
Citations
9143
World Ranking
6478
National Ranking
150

Overview

Luciano Serafini is affiliated with the Fondazione Bruno Kessler in Italy and has an extensive research profile primarily within the field of Computer Science. Their work covers a range of subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Computational Theory and Mathematics, and Molecular Biology.

Serafini's recent publications reflect a focus on topics such as Topic Modeling, Multimodal Machine Learning Applications, Bayesian Modeling and Causal Inference, Semantic Web and Ontologies, Machine Learning and Algorithms, Natural Language Processing Techniques, and Advanced Image and Video Retrieval Techniques.

Examples of their recent papers include:

  • Knowledge Enhanced Neural Networks for Point Cloud Semantic Segmentation, 2023, Remote Sensing
  • Online Learning of Reusable Abstract Models for Object Goal Navigation, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Aligning and linking entity mentions in image, text, and knowledge base, 2022, Data & Knowledge Engineering
  • Knowledge Graph OLAP, 2020, Semantic Web
  • Refining neural network predictions using background knowledge, 2023, Machine Learning

The scientist frequently collaborates with several co-authors, including Alessandro Daniele, Sagar Malhotra, Lamberto Ballan, Alessandro Sperduti, and Tommaso Campari. Collaboration counts indicate multiple joint works, with Daniele and Malhotra each having twelve co-authored publications with Serafini.

Serafini has published notably in venues such as arXiv (Cornell University), where there are 23 publications, as well as in journals and conferences like Artificial Intelligence, the Proceedings of the AAAI Conference on Artificial Intelligence, Neural Computing and Applications, and Zenodo (CERN European Organization for Nuclear Research).

Best Publications

  • Distributed Description Logics: Assimilating Information from Peer Sources.

    Alexander Borgida;Luciano Serafini

  • C-OWL: contextualizing ontologies

    Paolo Bouquet;Fausto Giunchiglia;Frank Van Harmelen;Luciano Serafini

  • Data Management for Peer-to-Peer Computing: A Vision

    Philip A. Bernstein;Fausto Giunchiglia;Anastasios Kementsietsidis;John Mylopoulos

  • Multilanguage hierarchical logics, or: how we can do without modal logics

    Fausto Giunchiglia;Luciano Serafini

  • Semantic coordination: a new approach and an application

    Paolo Bouquet;Luciano Serafini;Stefano Zanobini

  • Contextualizing ontologies

    Paolo Bouquet;Fausto Giunchiglia;Frank van Harmelen;Luciano Serafini

  • DRAGO: distributed reasoning architecture for the semantic web

    Luciano Serafini;Andrei Tamilin

  • Web service composition as planning

    Mark Carman;Jose Luis Ambite;Luciano Serafini;Craig Knoblock

  • Toward an architecture for quantum programming

    S. Bettelli;T. Calarco;L. Serafini

  • Logic tensor networks for semantic image interpretation

    Ivan Donadello;Luciano Serafini;Artur S. d'Avila Garcez

  • Specification of a Common Framework for Characterizing Alignment

    Paolo Bouquet;Jérôme Euzenat;Enrico Franconi;Luciano Serafini

  • Model Checking Multiagent Systems

    Massimo Benerecetti;Fausto Giunchiglia;Luciano Serafini

  • Logic Tensor Networks: Deep Learning and Logical Reasoning from Data and Knowledge.

    Luciano Serafini;Artur S. d'Avila Garcez

  • Towards an Economy-Based Optimisation of File Access and Replication on a Data Grid

    M. Carman;F. Zini;L. Serafini;K. Stockinger

  • Distributed Description Logics: Directed Domain Correspondences in Federated Information Sources

    Alexander Borgida;Luciano Serafini

  • A Robust Logical and Computational Characterisation of Peer-to-Peer Database Systems

    Enrico Franconi;Gabriel M. Kuper;Andrei Lopatenko;Andrei Lopatenko;Luciano Serafini

  • Aspects of distributed and modular ontology reasoning

    Luciano Serafini;Alex Borgida;Andrei Tamilin

  • Towards content-oriented patent document processing

    Leo Wanner;Leo Wanner;Ricardo Baeza-Yates;Ricardo Baeza-Yates;Sören Brügmann;Joan Codina

  • Logic Tensor Networks.

    Samy Badreddine;Artur d'Avila Garcez;Luciano Serafini;Michael Spranger

  • Neural-symbolic computing: An effective methodology for principled integration of machine learning and reasoning

    Artur S. d'Avila Garcez;Marco Gori;Luís C. Lamb;Luciano Serafini

  • Comparing formal theories of context in AI

    Luciano Serafini;Paolo Bouquet

Frequent Co-Authors

Fausto Giunchiglia
Fausto Giunchiglia University of Trento
Bernardo Magnini
Bernardo Magnini Fondazione Bruno Kessler
Heiner Stuckenschmidt
Heiner Stuckenschmidt University of Mannheim
Alexander Borgida
Alexander Borgida Rutgers, The State University of New Jersey
Ari Karppinen
Ari Karppinen Finnish Meteorological Institute
Paolo Traverso
Paolo Traverso Fondazione Bruno Kessler
Ioannis Kompatsiaris
Ioannis Kompatsiaris Information Technologies Institute, Greece
Enrico Giunchiglia
Enrico Giunchiglia University of Genoa
Alessandro Cimatti
Alessandro Cimatti Fondazione Bruno Kessler

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