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Pedro C. Neto. Concluiu o(a) Licenciatura em Engenharia Informática em 2018/07 pelo(a) Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto e Master em Computer Science em 2020/05 pelo(a) Aalto-yliopisto. Frequenta o(a) Doutoramento em Programa Doutoral em Engenharia Eletrotécnica e Computadores pelo(a) Universidade do Porto Faculdade de Engenharia desde 2020/09. É Assistente Convidado no(a) Universidade do Porto Faculdade de Engenharia e AI Scientist no(a) Unilabs Portugal. Publicou 14 artigos em revistas especializadas. Organizou 1 evento(s). Participou em 1 evento(s). Coorientou 1 dissertação(ões) de mestrado. Recebeu 5 prémio(s) e/ou homenagens. Participa e/ou participou como Investigador responsável em 1 projeto(s). Atua na(s) área(s) de Ciências da Engenharia e Tecnologias com ênfase em Engenharia Eletrotécnica, Eletrónica e Informática.
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Identification

Personal identification

Full name
Pedro David Carneiro Neto

Citation names

  • Neto, Pedro
  • Neto, Pedro C.

Author identifiers

Ciência ID
CD1B-C157-8418
ORCID iD
0000-0003-1333-4889
AuthenticusID
R-00J-XFF
Google Scholar ID
xR33Ko0AAAAJ

Email addresses

  • pedroneto_09@hotmail.com (Professional)
  • pedro.d.carneiro@inesctec.pt (Professional)
  • pedro.neto@unilabs.com (Professional)

Websites

Knowledge fields

  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Advanced (C1) Proficiency (C2) Advanced (C1) Proficiency (C2) Advanced (C1)
Finnish Beginner (A1) Beginner (A1) Beginner (A1) Beginner (A1)
Education
Degree Classification
2020/09 - 2025/05
Ongoing
 Programa Doutoral em Engenharia Eletrotécnica e Computadores (Doutoramento)
Major in Deep Learning para biometria
Universidade do Porto Faculdade de Engenharia, Portugal
 17
2020/05
Concluded
 Computer Science (Master)
Major in Machine Learning, Deep Learning, Computer Vision
Aalto-yliopisto, Finland
"Deep Learning Based Analysis of Prostate Cancer from MP-MR" (THESIS/DISSERTATION)
 4,24 (Finlândia) e 18.0 (Portugal)
2018/07
Concluded
 Engenharia Informática (Licenciatura)
Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal
 17
Affiliation

Science

Category
Host institution 		Employer
2020/10 - 2024/07 Research Assistant (Research) Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2020/07 - 2020/09 Research Trainee (Research) Feedzai, Portugal
2019/09 - 2020/04 Research Assistant (Research) Aalto-yliopisto, Finland
Aalto-yliopisto, Finland

Teaching in Higher Education

Category
Host institution 		Employer
2023/09/01 - Current Invited Assistant (University Teacher) Universidade do Porto Faculdade de Engenharia, Portugal
2023/04/15 - 2023/07/31 Invited Assistant (Polytechnic Teacher) Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal
2022/09/01 - 2023/02/28 Invited Assistant (University Teacher) Universidade do Porto Faculdade de Engenharia, Portugal

Others

Category
Host institution 		Employer
2024/08 - Current AI Scientist Unilabs Portugal, Portugal
Projects

Grant

Designation Funders
2021/10/01 - 2025/09/30 Explainable Artificial Intelligence For Biometric Analysis
2021.06872.BD
10.54499/2021.06872.BD
 Fundação para a Ciência e a Tecnologia
Ongoing

Contract

Designation Funders
2023/01/01 - Current XAIBIO
Principal investigator
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Ongoing

Other

Designation Funders
2020/11 - Current CADPath: Computer-Aided Diagnosis in Pathology
POCI-01-0247-FEDER-045413
Ongoing
Outputs

Publications

Conference abstract
  1. Pedro C. Neto; Sara Oliveira; João Fraga; Diana Montezuma; Jaime S. Cardoso; Isabel Macedo Pinto. "Colorectal biopsies assessment using weakly supervised classification of wholeslide images". Paper presented in 17th European Congress on Digital Pathology (ECDP), 2021.
    Accepted
Conference paper
  1. Neto, PC; Sequeira, AF; Cardoso, JS. "Myope Models - Are face presentation attack detection models short-sighted?". 2022.
    10.1109/wacvw54805.2022.00045
  2. Neto, PC; Goncalves, T; Huber, M; Damer, N; Sequeira, AF; Cardoso, JS. "OrthoMAD: Morphing Attack Detection Through Orthogonal Identity Disentanglement". 2022.
    10.1109/biosig55365.2022.9897057
  3. Huber, M; Boutros, F; Luu, AT; Raja, K; Ramachandra, R; Damer, N; Neto, PC; et al. "SYN-MAD 2022: Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data". 2022.
    10.1109/ijcb54206.2022.10007950
  4. Neto, PC; Boutros, F; Pinto, JR; Damer, N; Sequeira, AF; Cardoso, JS; Bengherabi, M; et al. "OCFR 2022: Competition on Occluded Face Recognition from Synthetically Generated Structure-Aware Occlusions". 2022.
    10.1109/ijcb54206.2022.10007963
  5. Albuquerque, T; Moreira, A; Barros, B; Montezuma, D; Oliveira, SP; Neto, PC; Monteiro, JC; et al. "Quality Control in Digital Pathology: Automatic Fragment Detection and Counting". 2022.
    10.1109/embc48229.2022.9871208
  6. Neto, PC; Boutros, F; Pinto, JR; Saffari, M; Damer, N; Sequeira, AF; Cardoso, JS. "My Eyes Are up Here: Promoting Focus on Uncovered Regions in Masked Face Recognition". 2021.
    10.1109/biosig52210.2021.9548320
  7. Neto, PC; Boutros, F; Pinto, JR; Darner, N; Sequeira, AF; Cardoso, JS. "FocusFace: Multi-task Contrastive Learning for Masked Face Recognition". 2021.
    10.1109/fg52635.2021.9666792
  8. Neto, PC; Boutros, F; Pinto, JR; Saffari, M; Damer, N; Sequeira, AF; Cardoso, JS. "My Eyes Are Up Here: Promoting Focus on Uncovered Regions in Masked Face Recognition". 2021.
Conference poster
  1. MAMEDE, RAFAEL; Mafalda Oliveira; Neto, Pedro C.; Ana F. Sequeira; Jaime S. Cardoso. Corresponding author: MAMEDE, RAFAEL. "Latent Noise Augmentation: On the applicability of noise as an augmentation in the latent space.". Paper presented in RECPAD, 2022.
Journal article
  1. Eduarda Caldeira; Pedro C. Neto; Marco Huber; Naser Damer; Ana F. Sequeira. "Model compression techniques in biometrics applications: A survey". Information Fusion (2025): https://doi.org/10.1016/j.inffus.2024.102657.
    10.1016/j.inffus.2024.102657
  2. Pedro C. Neto; Diana Montezuma; Sara P. Oliveira; Domingos Oliveira; João Fraga; Ana Monteiro; João Monteiro; et al. "Author Correction: An interpretable machine learning system for colorectal cancer diagnosis from pathology slides". npj Precision Oncology (2024): https://doi.org/10.1038/s41698-024-00581-2.
    10.1038/s41698-024-00581-2
  3. Pedro C. Neto; Diana Montezuma; Sara P. Oliveira; Domingos Oliveira; João Fraga; Ana Monteiro; João Monteiro; et al. "An interpretable machine learning system for colorectal cancer diagnosis from pathology slides". npj Precision Oncology (2024): https://doi.org/10.1038/s41698-024-00539-4.
    10.1038/s41698-024-00539-4
  4. Neto, PC; Montezuma, D; de Oliveira, SP; Oliveira, D; Fraga, J; Monteiro, A; Monteiro, JC; et al. "A CAD System for Colorectal Cancer from WSI: A Clinically Validated Interpretable ML-based Prototype". CoRR (2023):
  5. Montezuma, D; Oliveira, SP; Neto, PC; Oliveira, D; Monteiro, A; Cardoso, JS; Macedo-Pinto, I. "Annotating for Artificial Intelligence Applications in Digital Pathology: A Practical Guide for Pathologists and Researchers". MODERN PATHOLOGY (2023):
    10.1016/j.modpat.2022.100086
  6. Neto, PC; Caldeira, E; Cardoso, JS; Sequeira, AF. "Compressed Models Decompress Race Biases: What Quantized Models Forget for Fair Face Recognition". CoRR (2023):
  7. Caldeira, E; Neto, PC; Gonçalves, T; Damer, N; Sequeira, AF; Cardoso, JS. "Unveiling the Two-Faced Truth: Disentangling Morphed Identities for Face Morphing Detection". CoRR (2023):
  8. Oliveira, S.P.; Montezuma, D.; Moreira, A.; Oliveira, D.; Neto, P.C.; Monteiro, A.; Monteiro, J.; et al. "A CAD system for automatic dysplasia grading on H&E cervical whole-slide images". Scientific Reports 13 1 (2023): http://www.scopus.com/inward/record.url?eid=2-s2.0-85149648926&partnerID=MN8TOARS.
    10.1038/s41598-023-30497-z
  9. Pedro David Carneiro Neto; Sara P. Oliveira; Diana Montezuma; João Fraga; Ana Monteiro; Liliana Ribeiro; Sofia Gonçalves; Isabel M. Pinto; Jaime S. Cardoso. "iMIL4PATH: A Semi-Supervised Interpretable Approach for Colorectal Whole-Slide Images". Cancers (2022): https://www.mdpi.com/2072-6694/14/10/2489.
    10.3390/cancers14102489
  10. Neto, PC; Boutros, F; Pinto, JR; Damer, N; Sequeira, AF; Cardoso, JS; Bengherabi, M; et al. "OCFR 2022: Competition on Occluded Face Recognition From Synthetically Generated Structure-Aware Occlusions". CoRR (2022):
  11. Neto, PCP; Pinto, JR; Boutros, F; Damer, N; Sequeira, AF; Cardoso, JS. "Beyond Masks: On the Generalization of Masked Face Recognition Models to Occluded Face Recognition". IEEE ACCESS (2022):
    10.1109/access.2022.3199014
  12. Neto, PC; Sequeira, AF; Cardoso, JS; Terhörst, P. "PIC-Score: Probabilistic Interpretable Comparison Score for Optimal Matching Confidence in Single- and Multi-Biometric (Face) Recognition". CoRR (2022):
    10.1109/cvprw59228.2023.00109
  13. Neto, PC; Gonçalves, T; Pinto, JR; Silva, W; Sequeira, AF; Ross, A; Cardoso, JS. "Explainable Biometrics in the Age of Deep Learning". CoRR (2022):
  14. Sara P. Oliveira; Pedro C. Neto; João Fraga; Diana Montezuma; Ana Monteiro; João Monteiro; Liliana Ribeiro; et al. "CAD systems for colorectal cancer from WSI are still not ready for clinical acceptance". Scientific Reports 11 1 (2021): https://doi.org/10.1038%2Fs41598-021-93746-z.
    10.1038/s41598-021-93746-z
Preprint
  1. "FocusFace: Multi-task Contrastive Learning for Masked Face Recognition". 2021.
Working paper
  1. Boutros, Fadi; Damer, Naser; Kolf, Jan Niklas; Raja, Kiran; Kirchbuchner, Florian; Ramachandra, Raghavendra; Kuijper, Arjan; et al. 2021. "MFR 2021: Masked Face Recognition Competition".
    10.1109/ijcb52358.2021.9484337
  2. Neto, Pedro C.. 2020. "Deep Learning Based Analysis of Prostate Cancer from MP-MR". https://www.researchgate.net/publication/342453524_Deep_Learning_Based_Analysis_of_Prostate_Cancer_from_MP-MRI?channel=doi&linkId=5ef51eb9299bf18816e8018c&showFulltext=true.

Other

Other output
  1. A CAD System for Colorectal Cancer from WSI: A Clinically Validated Interpretable ML-based Prototype. 2023. Neto, P.C.; Montezuma, D.; Oliveira, S.P.; Oliveira, D.; Fraga, J.; Monteiro, A.; Monteiro, J.; et al. http://www.scopus.com/inward/record.url?eid=2-s2.0-85146519491&partnerID=MN8TOARS.
    10.48550/arXiv.2301.02608
  2. PIC-Score: Probabilistic Interpretable Comparison Score for Optimal Matching Confidence in Single- and Multi-Biometric (Face) Recognition. 2022. Neto, P.C.; Sequeira, A.F.; Cardoso, J.S.; Terhörst, P.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85143427804&partnerID=MN8TOARS.
    10.48550/arXiv.2211.12483
  3. OrthoMAD: Morphing Attack Detection Through Orthogonal Identity Disentanglement. 2022. Neto, P.C.; Gonçalves, T.; Huber, M.; Damer, N.; Sequeira, A.F.; Cardoso, J.S.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85136081453&partnerID=MN8TOARS.
    10.48550/arXiv.2208.07841
  4. SYN-MAD 2022: Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data. 2022. Huber, M.; Boutros, F.; Luu, A.T.; Raja, K.; Ramachandra, R.; Damer, N.; Neto, P.C.; et al. http://www.scopus.com/inward/record.url?eid=2-s2.0-85136499499&partnerID=MN8TOARS.
    10.48550/arXiv.2208.07337
  5. FocusFace: Multi-task contrastive learning for masked face recognition. 2021. Neto, P.C.; Boutros, F.; Pinto, J.R.; Damer, N.; Sequeira, A.F.; Cardoso, J.S.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85121124658&partnerID=MN8TOARS.
  6. My eyes are up here: Promoting focus on uncovered regions in masked face recognition. 2021. Neto, P.C.; Boutros, F.; Pinto, J.R.; Saffari, M.; Damer, N.; Sequeira, A.F.; Cardoso, J.S.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85120763246&partnerID=MN8TOARS.
  7. Myope Models - Are face presentation attack detection models short-sighted?. 2021. Neto, P.C.; Sequeira, A.F.; Cardoso, J.S.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85120496089&partnerID=MN8TOARS.
  8. MFR 2021: Masked Face Recognition Competition. 2021. Boutros, F.; Damer, N.; Kolf, J.N.; Raja, K.; Kirchbuchner, F.; Ramachandra, R.; Kuijper, A.; et al. http://www.scopus.com/inward/record.url?eid=2-s2.0-85109812095&partnerID=MN8TOARS.
Activities

Supervision

Thesis Title
Role 		Degree Subject (Type)
Institution / Organization
2023/01 - 2034/10 Explainable Artificial Intelligence – Getting insights from Deep Neural Networks for Interpretable and Fair Face Recognition
Co-supervisor of Ana Dias Teixeira de Viseu Cardoso
 Bioengenharia (Master)
Universidade do Porto Faculdade de Engenharia, Portugal

Event organisation

Event name
Type of event (Role) 		Institution / Organization
2019 - Current Responsável por lecionar um workshop de introdução a machine learning e deep learning. (2019)
Workshop
 Núcleo de Estudantes de Informática - ISEP, Portugal

Event participation

Activity description
Type of event 		Event name
Institution / Organization
2023/03/17 - Current Elaboração do Workshop em "Biometrics and Explainable AI" XIV Symposium on Bioengineering

Association member

Society Organization name Role
2016 - 2016 Nucleo de estudantes de informática - ISEP

Course / Discipline taught

Academic session Degree Subject (Type) Institution / Organization
2022/09/01 - 2023/02/28 Machine Learning (Doutoramento) Universidade do Porto Faculdade de Engenharia, Portugal

Interview (tv / radio show)

Program Topic
2023/12 - 2023/12 Podcast ScienceBits Racial bias with face recognition systems
Distinctions

Award

2024 EAB Max Snijder Award
European Association for Biometrics, Netherlands
2023 Best Paper Award at BIOSIG
2022 IEEE Travel Award (Biometrics Summer School)
IEEE, United States
2020 Aluno de mérito Mestrado
Aalto-yliopisto, Finland
2018 Aluno de mérito Licenciatura
Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal