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researcher

João Gama

7 papers here

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

author position
  • middle author4
  • last author3

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.AI4
  • cs.LG2
  • q-fin.RM1
ORCID 0000-0003-3357-1195
same name
  • João Gama — 8 papers, h 62
  • João Gama — 5 papers, h 4
  • João Gama — 4 papers, h 3
  • João Gama — 3 papers, h 5
  • João Gama — 3 papers, h 6
  • João Gama — 2 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142023
most citedEigenEvent: An Algorithm for Event Detection from Complex Data Streams in Syndromic Surveillance

18 citations · 55 across the 7 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2023★ 13 cited

Explainable Predictive Maintenance

Sepideh Pashami, Slawomir Nowaczyk, Yuantao Fan +13

Explainable Artificial Intelligence (XAI) fills the role of a critical interface fostering interactions between sophisticated intelligent systems and diverse individuals, including…

cs.AI2014★ 18 cited

EigenEvent: An Algorithm for Event Detection from Complex Data Streams in Syndromic Surveillance

Hadi Fanaee-T, João Gama

Syndromic surveillance systems continuously monitor multiple pre-diagnostic daily streams of indicators from different regions with the aim of early detection of disease outbreaks.…

cs.AI2014★ 5 cited

An eigenvector-based hotspot detection

Hadi Fanaee-T, Joao Gama

Space and time are two critical components of many real world systems. For this reason, analysis of anomalies in spatiotemporal data has been a great of interest. In this work, app…

cs.AI2014★ 9 cited

Event and Anomaly Detection Using Tucker3 Decomposition

Hadi Fanaee-T, Márcia D. B. Oliveira, João Gama +2

Failure detection in telecommunication networks is a vital task. So far, several supervised and unsupervised solutions have been provided for discovering failures in such networks.…

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