Luis F. Teixeira

Luis F. Teixeira

Universidade do Porto

H-index: 14

Europe-Portugal

About Luis F. Teixeira

Luis F. Teixeira, With an exceptional h-index of 14 and a recent h-index of 9 (since 2020), a distinguished researcher at Universidade do Porto, specializes in the field of Computer Vision, Pattern Recognition, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Parameter-Efficient Generation of Natural Language Explanations for Chest X-ray Classification

Coherent concept-based explanations in medical image and its application to skin lesion diagnosis

Explainable deep learning methods in medical image classification: A survey

MobileWeatherNet for LiDAR-Only Weather Estimation

GASTeN: Generative Adversarial Stress Test Networks

Deep learning-based human action recognition to leverage context awareness in collaborative assembly

Attention-Based Regularisation for Improved Generalisability in Medical Multi-Centre Data

Evaluating Privacy on Synthetic Images Generated using GANs: Contributions of the VCMI Team to ImageCLEFmedical GANs 2023

Luis F. Teixeira Information

University

Position

Assistant Professor

Citations(all)

899

Citations(since 2020)

419

Cited By

589

hIndex(all)

14

hIndex(since 2020)

9

i10Index(all)

17

i10Index(since 2020)

9

Email

University Profile Page

Universidade do Porto

Google Scholar

View Google Scholar Profile

Luis F. Teixeira Skills & Research Interests

Computer Vision

Pattern Recognition

Machine Learning

Top articles of Luis F. Teixeira

Title

Journal

Author(s)

Publication Date

Parameter-Efficient Generation of Natural Language Explanations for Chest X-ray Classification

Isabel Rio-Torto

Jaime S Cardoso

Luis Filipe Teixeira

2024/2/13

Coherent concept-based explanations in medical image and its application to skin lesion diagnosis

Cristiano Patrício

João C Neves

Luis F Teixeira

2023

Explainable deep learning methods in medical image classification: A survey

Cristiano Patrício

João C Neves

Luís F Teixeira

2023/10/21

MobileWeatherNet for LiDAR-Only Weather Estimation

Martim Pinto Da Silva

Diogo Carneiro

João Fernandes

Luís Filipe Teixeira

2023/6/18

GASTeN: Generative Adversarial Stress Test Networks

Luís Cunha

Carlos Soares

André Restivo

Luís F Teixeira

2023/4/1

Deep learning-based human action recognition to leverage context awareness in collaborative assembly

Robotics and Computer-Integrated Manufacturing

Duarte Moutinho

Luís F Rocha

Carlos M Costa

Luís F Teixeira

Germano Veiga

2023/4/1

Attention-Based Regularisation for Improved Generalisability in Medical Multi-Centre Data

Daniel Silva

Georgios Agrotis

Regina Beets-Tan

Luís F Teixeira

Wilson Silva

2023/12/15

Evaluating Privacy on Synthetic Images Generated using GANs: Contributions of the VCMI Team to ImageCLEFmedical GANs 2023

Challenge

Helena Montenegro

Pedro Neto

Cristiano Patrício

Isabel Rio-Torto

Tiago Gonçalves

...

2023

Towards concept-based interpretability of skin lesion diagnosis using vision-language models

arXiv preprint arXiv:2311.14339

Cristiano Patrício

Luís F Teixeira

João C Neves

2023/11/24

Detection of Epilepsy in EEGs Using Deep Sequence Models–A Comparative Study

Miguel Marques

Catarina da Silva Lourenço

Luís F Teixeira

2022/4/26

From Captions to Explanations: A Multimodal Transformer-based Architecture for Natural Language Explanation Generation

Isabel Rio-Torto

Jaime S Cardoso

Luís F Teixeira

2022/4/26

Classification of facial expressions under partial occlusion for VR games

Ana Sofia Figueiredo Rodrigues

Júlio Castro Lopes

Rui Pedro Lopes

Luís F Teixeira

2022/10/24

Pattern Recognition and Image Analysis: 10th Iberian Conference, IbPRIA 2022, Aveiro, Portugal, May 4–6, 2022, Proceedings

Armando J Pinho

Petia Georgieva

Luís F Teixeira

Joan Andreu Sánchez

2022/4/25

A survey on attention mechanisms for medical applications: are we moving toward better Algorithms?

Tiago Gonçalves

Isabel Rio-Torto

Luís F Teixeira

Jaime S Cardoso

2022/9/14

Hybrid Quality Inspection for the Automotive Industry: Replacing the Paper-Based Conformity List through Semi-Supervised Object Detection and Simulated Data

Applied Sciences

Isabel Rio-Torto

Ana Teresa Campaniço

Pedro Pinho

Vitor Filipe

Luís F Teixeira

2022/6/3

Explainable deep learning methods in medical imaging diagnosis: a survey

Cristiano Patrício

João C Neves

Luís F Teixeira

2022/5/10

Automatic quality inspection in the automotive industry: a hierarchical approach using simulated data

Isabel Rio-Torto

Ana Teresa Campaniço

António Pereira

Luís F Teixeira

Vítor Filipe

2021/4/23

Cervical cancer detection and classification in cytology images using a hybrid approach

Eduardo L Silva

Ana Filipa Sampaio

Luís F Teixeira

Maria João M Vasconcelos

2021

Improving Automatic Quality Inspection in the Automotive Industry by Combining Simulated and Real Data

Pedro Pinho

Isabel Rio-Torto

Luís Filipe Teixeira

2021

Incremental learning for dermatological imaging modality classification

Journal of Imaging

Ana C Morgado

Catarina Andrade

Luís F Teixeira

Maria João M Vasconcelos

2021/9/7

See List of Professors in Luis F. Teixeira University(Universidade do Porto)

Co-Authors

H-index: 46
Jaime Cardoso

Jaime Cardoso

Universidade do Porto

H-index: 43
George Tzanetakis

George Tzanetakis

University of Victoria

H-index: 21
Helder P. Oliveira

Helder P. Oliveira

Universidade do Porto

H-index: 19
Paula Alexandra Silva

Paula Alexandra Silva

Universidade de Coimbra

H-index: 18
João C. Neves

João C. Neves

Instituto Politécnico de Viseu

H-index: 14
Jorge Grenha Teixeira

Jorge Grenha Teixeira

Universidade do Porto

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