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Manuel de Sousa Ribeiro

4 papers hereh-index 398 citations7 works total

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

author position
  • first author4

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

fields
  • cs.AI2
  • cs.CV1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20202025
most citedExplainable Abstract Trains Dataset

6 citations · 6 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2025

Concept Probing: Where to Find Human-Defined Concepts (Extended Version)

Manuel de Sousa Ribeiro, Afonso Leote, João Leite

Concept probing has recently gained popularity as a way for humans to peek into what is encoded within artificial neural networks. In concept probing, additional classifiers are tr…

cs.AI2025

On the Performance of Concept Probing: The Influence of the Data (Extended Version)

Manuel de Sousa Ribeiro, Afonso Leote, João Leite

Concept probing has recently garnered increasing interest as a way to help interpret artificial neural networks, dealing both with their typically large size and their subsymbolic…

cs.AI2023

On Modifying a Neural Network's Perception

Manuel de Sousa Ribeiro, João Leite

Artificial neural networks have proven to be extremely useful models that have allowed for multiple recent breakthroughs in the field of Artificial Intelligence and many others. Ho…

cs.CV2020★ 6 cited

Explainable Abstract Trains Dataset

Manuel de Sousa Ribeiro, Ludwig Krippahl, Joao Leite

The Explainable Abstract Trains Dataset is an image dataset containing simplified representations of trains. It aims to provide a platform for the application and research of algor…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.