Joao Gama

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University of Porto

Portugal

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Recent Grants

Grant: Close

Deteção precoce de avarias de veículos de transporte público em ambiente operacional

Open Date: 2018-12-01

Close Date: 2020-11-01

Grant: Close

Sistema de avaliação universal de doenças com base em marcadores moleculares

Open Date: 2010-06-01

Close Date: 2013-09-01

Grant: Close

GALENO - Modelação e controlo para administração personalizada de fármacos

Open Date: 2010-04-01

Close Date: 2013-09-01

Grant: Close

Horus: Representações de Horn para Sistemas com Incerteza

Open Date: 2010-04-01

Close Date: 2013-03-01

Grant: Close

Knowledge Discovery from Ubiquitous Data Streams

Open Date: 2010-04-01

Close Date: 2013-03-01

Articles (21)

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Collaborators (14)

Jesús S. Aguilar-Ruiz

Professor

Universidad Pablo de Olavide

SPAIN

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Silviu Maniu

Full Professor

Université Grenoble Alpes

FRANCE

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Bruno Veloso

PORTUGAL

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Isabel Praça

PORTUGAL

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Helder Araujo

University of Coimbra

PORTUGAL

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Tonči Carić

CROATIA

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Rita Ribeiro

Assistant Professor

University of Porto

PORTUGAL

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Holger H. Hoos

Adjunct Professor

The University of British Columbia

CANADA

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Lala RAJAOARISOA

Lecturer and researcher

IMT Lille Douai

FRANCE

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Pedro Henriques Abreu

Assistant Professor

PORTUGAL

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Albert Bifet

Professor

University of Waikato

NEW ZEALAND

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Alípio Jorge

University of Porto

PORTUGAL

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Paula Raissa Silva

Invited Lecturer

Universidade do Porto Faculdade de Engenharia

PORTUGAL

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Jaime Cardoso

Full Professor

University of Porto

PORTUGAL

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Joao Gama

Research Interests

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Recent Grants

Articles (21)

Online learning from drifting capricious data streams with flexible Hoeffding tree

Effect of AI on Innovation Capacity in the context of Industry 5.0: Findings from a Qualitative study

Salvador Urban Network Transportation (SUNT): A Landmark Spatiotemporal Dataset for Public Transportation

Modelling Concept Drift in Dynamic Data Streams for Recommender Systems

Decision-making systems improvement based on explainable artificial intelligence approaches for predictive maintenance

A Systematic Review on Long-Tailed Learning

Unveiling Group-Specific Distributed Concept Drift: A Fairness Imperative in Federated Learning

AI’s effect on innovation capacity in the context of industry 5.0: a scoping review

From fault detection to anomaly explanation: A case study on predictive maintenance

Classification of Pulmonary Nodules in 2-[18F]FDG PET/CT Images with a 3D Convolutional Neural Network

Data Stream Analytics

Estimating Instantaneous Vehicle Emissions

Towards federated learning: An overview of methods and applications

Guest Editorial: Special Issue on Stream Learning

Data-Driven Predictive Maintenance

Methods and tools for causal discovery and causal inference

Statistically Robust Evaluation of Stream-Based Recommender Systems

A Survey on Data-Driven Predictive Maintenance for the Railway Industry

Data stream analysis: Foundations, major tasks and tools

Spatiotemporal Road Traffic Anomaly Detection: A Tensor-Based Approach

Artificial intelligence, cyber-threats and Industry 4.0: challenges and opportunities

Collaborators (14)

Jesús S. Aguilar-Ruiz

Silviu Maniu

Bruno Veloso

Isabel Praça

Helder Araujo

Tonči Carić

Rita Ribeiro

Holger H. Hoos

Lala RAJAOARISOA

Pedro Henriques Abreu

Albert Bifet

Alípio Jorge

Paula Raissa Silva

Jaime Cardoso

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