◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Stefano De Giorgis

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI3
  • cs.RO1
ORCID 0000-0003-4133-3445

identity via Semantic Scholar / OpenAlex

most citedNeurosymbolic Graph Enrichment for Grounded World Models

2 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

cs.RO2025

The Wilhelm Tell Dataset of Affordance Demonstrations

Rachel Ringe, Mihai Pomarlan, Nikolaos Tsiogkas +3

Affordances - i.e. possibilities for action that an environment or objects in it provide - are important for robots operating in human environments to perceive. Existing approaches…

cs.AI2024★ 2 cited

Neurosymbolic Graph Enrichment for Grounded World Models

Stefano De Giorgis, Aldo Gangemi, Alessandro Russo

The development of artificial intelligence systems capable of understanding and reasoning about complex real-world scenarios is a significant challenge. In this work we present a n…

cs.AI2024

Sandra -- A Neuro-Symbolic Reasoner Based On Descriptions And Situations

Nicolas Lazzari, Stefano De Giorgis, Aldo Gangemi +1

This paper presents sandra, a neuro-symbolic reasoner combining vectorial representations with deductive reasoning. Sandra builds a vector space constrained by an ontology and perf…

cs.AI2024★ 1 cited

EFO: the Emotion Frame Ontology

Stefano De Giorgis, Aldo Gangemi

Emotions are a subject of intense debate in various disciplines. Despite the proliferation of theories and definitions, there is still no consensus on what emotions are, and how to…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.