Ricardo P. M. Cruz

 rpcruz@fe.up.pt  rpmcruz  0000-0002-5189-6228  Scholar  PDF

Ricardo P. M. Cruz is an Assistant Professor at the Faculty of Engineering of the University of Porto and a researcher at INESC TEC. His work focuses on machine learning, particularly deep learning, and computer vision. He received a B.Sc. degree in Computer Science (2012), an M.Sc. degree in Mathematical Engineering (2015), both from the University of Porto, and a Ph.D. degree in Computer Science (2021) jointly from the University of Porto, Aveiro and Minho. His topics cover transversal aspects of machine learning with applications to health and autonomous driving, detailed in over 20 publications with 100+ citations.

If you are a student that would like to do research for a project, masters dissertation or PhD, drop me an email.

Publications

Sources for the following metrics: • Impact Factor (IF) as reported by the journal's webpage. • SJR rank quartiles are from Scimago and best quartile is chosen when multiple categories exist. • CORE rank is from ICORE for whatever last year is available for that conference. • Citation counts come from Crossref. Last update: 2025-03-21

#YearPaperCitationsIFSJR RankCORE Rank
1[SUBMITTED] R. Cruz, J. Cardoso, "Interpretable Image Classification using Object Detection", IEEE Transactions on Image Processingjournal10.8Q1
2[SUBMITTED] R. Cruz, "Spatial Early-Exit for Segmentation and Object Detection", Elsevier Computer Vision and Image Understandingjournal4.3Q1
32025J. Cardoso, R. Cruz, T. Albuquerque, "Unimodal Distributions for Ordinal Regression", IEEE Transactions on Artificial Intelligencejournal0n/aQ1
42025R. Cruz, R. Cristino, J. Cardoso, "Learning Ordinality in Semantic Segmentation", IEEE Accessjournal03.4Q1
52025J. Barbero-Gómez, R. Cruz, J. Cardoso, P. Gutiérrez, C. Hervás-Martínez, "CNN explanation methods for ordinal regression tasks", Elsevier Neurocomputingjournal05.5Q1
62024A. Bezerra, I. Pereira, M. Rebelo, D. Coelho, D. Oliveira, J. Costa, R. Cruz, "A case study on phishing detection with a machine learning net", Springer International Journal of Data Science and Analyticsjournal03.4Q2
72024C. Pereira, R. Cruz, J. Fernandes, J. Pinto, J. Cardoso, "Weather and Meteorological Optical Range Classification for Autonomous Driving", IEEE Transactions on Intelligent Vehiclesjournal114Q1
82023F. Campos, F. Cerqueira, R. Cruz, J. Cardoso, "YOLOMM – You Only Look Once for Multi-modal Multi-tasking", Iberoamerican Congress on Pattern Recognition 2023 (CIARP)conference0C
92023D. e Silva, R. Cruz, "Condition Invariance for Autonomous Driving by Adversarial Learning", Iberoamerican Congress on Pattern Recognition 2023 (CIARP)conference0C
102023R. Cruz, A. Shihavuddin, M. Maruf, J. Cardoso, "Active Supervision: Human in the Loop", Iberoamerican Congress on Pattern Recognition 2023 (CIARP)conference0C
112023P. Serrano e Silva, R. Cruz, A. Shihavuddin, T. Gonçalves, "Interpretability-Guided Human Feedback During Neural Network Training", Iberian Conference on Pattern Recognition and Image Analysis 2023 (IbPRIA)conference1C
122023J. Barbero-Gómez, R. Cruz, J. Cardoso, P. Gutiérrez, C. Hervás-Martínez, "Evaluating the Performance of Explanation Methods on Ordinal Regression CNN Models", International Work-Conference on Artificial Neural Networks 2023 (IWANN)conference0n/a
132023R. Cruz, D. Silva, T. Gonçalves, D. Carneiro, J. Cardoso, "Two-Stage Framework for Faster Semantic Segmentation", MDPI Sensorsjournal13.4Q1
142023D. Teixeira e Silva, R. Cruz, T. Gonçalves, D. Carneiro, "Two-stage semantic segmentation in neural networks", Fifteenth International Conference on Machine Vision (ICMV 2022)conference0C
152023T. Albuquerque, L. Rosado, R. Cruz, M. Vasconcelos, T. Oliveira, J. Cardoso, "Rethinking low-cost microscopy workflow: Image enhancement using deep based Extended Depth of Field methods", Elsevier Intelligent Systems with Applicationsjournal0n/aQ1
162022T. Albuquerque, R. Cruz, J. Cardoso, "Quasi-Unimodal Distributions for Ordinal Classification", MDPI Mathematicsjournal22.3Q2
172021T. Albuquerque, R. Cruz, J. Cardoso, "Ordinal losses for classification of cervical cancer risk", PeerJ Computer Sciencejournal173.8Q1
182021R. Cruz, R. Prates, E. Simas Filho, J. Pinto Costa, J. Cardoso, "Background Invariance by Adversarial Learning", 2020 25th International Conference on Pattern Recognition (ICPR)conference1B
192019R. Cruz, J. Pinto Costa, J. Cardoso, "Averse Deep Semantic Segmentation", 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)conference1C
202019R. Prates, R. Cruz, A. Marotta, R. Ramos, E. Simas Filho, J. Cardoso, "Insulator visual non-conformity detection in overhead power distribution lines using deep learning", Elsevier Computers & Electrical Engineeringjournal494.0Q1
212019R. Cruz, J. Pinto Costa, J. Cardoso, "Automatic Augmentation by Hill Climbing", International Conference on Artificial Neural Networks 2019 (ICANN)conference1C
222018K. Fernandes, R. Cruz, J. Cardoso, "Deep Image Segmentation by Quality Inference", 2018 International Joint Conference on Neural Networks (IJCNN)conference10B
232018R. Cruz, M. Silveira, J. Cardoso, "A Class Imbalance Ordinal Method for Alzheimer’s Disease Classification", 2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI)conference0n/a
242018R. Cruz, K. Fernandes, J. Costa, M. Ortiz, J. Cardoso, "Binary ranking for ordinal class imbalance", Springer Pattern Analysis and Applicationsjournal23.7Q2
252017R. Cruz, K. Fernandes, J. Pinto Costa, J. Cardoso, "Constraining Type II Error: Building Intentionally Biased Classifiers", Springer Pattern Analysis and Applicationsjournal33.7Q2
262017M. Pérez-Ortiz, K. Fernandes, R. Cruz, J. Cardoso, J. Briceño, C. Hervás-Martínez, "Fine-to-Coarse Ranking in Ordinal and Imbalanced Domains: An Application to Liver Transplantation", International Work-Conference on Artificial Neural Networks (IWANN)conference1n/a
272017R. Cruz, K. Fernandes, J. Pinto Costa, M. Pérez Ortiz, J. Cardoso, "Combining Ranking with Traditional Methods for Ordinal Class Imbalance", International Work-Conference on Artificial Neural Networks (IWANN)conference8n/a
282017R. Cruz, K. Fernandes, J. Pinto Costa, M. Ortiz, J. Cardoso, "Ordinal Class Imbalance with Ranking", Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA)conference5C
292016R. Cruz, K. Fernandes, J. Cardoso, J. Pinto Costa, "Tackling class imbalance with ranking", 2016 International Joint Conference on Neural Networks (IJCNN)conference23B

Supervisions

#YearStudentTitleInstitutionObservation
1activePhD Advanced ProjectAndré Almeida CatarinoData Marketplace for Driving Assistance ModelsFEUP
2activeMSc DissertationRúben MonteiroIntelligent 3D InteractionFEUP(co-supervision) Main supervisor: Rui Rodrigues
3activeBSc ProjectDiogo VenadeHow Robust are Ordinal Regression Methods against Adversarial Attacks?FEUP
4activeBSc ProjectBruno FerreiraAutomatic Recognition of Pig BehaviorFEUPwith co-supervisor: Nuno Lavado (ISEC)
5activeBSc ProjectIsabel SáAutomatic Recognition of Pig BehaviorFEUPwith co-supervisor: Nuno Lavado (ISEC)
6activeMSc DissertationJoão Ricardo Ramos AlvesSelf-supervised Occupancy Networks in Autonomous DrivingFEUPInternship @ Bosch Car Multimedia (Filipe Gonçalves)
7activeMSc DissertationLuís Paulo da Rocha MirandaUnsupervised Active Learning: Which Frames are Most Important in Autonomous Driving?FEUPInternship @ Bosch Car Multimedia (Filipe Gonçalves)
8activeMSc DissertationBruno Vieira DiasTrust or not to trust: When to trust the label predictionFEUPInternship @ Bosch Car Multimedia (Lucas Agostinho)
9activeMSc DissertationAlexandre Ferreira NunesSemi-supervised Learning on 2D Projections for Autonomous DrivingFEUP
10activeMSc DissertationSofía LucíaOrdinal losses for range estimation in autonomous drivingFEUP
112023 Sept–2024 FebPhD Advanced ProjectFelipe CoelhoEnsembles for Ordinal ClassificationFEUP
122024 JulyInternshipIsabel Gomes de SáMaking Sense of Ordinal Images Without LabelsINESC TEC
132024MSc DissertationDiana Teixeira SilvaQuantifying How Deep 3D Representations Promote Label EfficiencyFEUP
142024MSc DissertationFrancisco Gonçalves CerqueiraExploring Label Efficiency with Semi-Supervision and Self-Supervision MethodsFEUP
152024MSc DissertationAirton TiagoData Augmentation for Ordinal DataFEUPwith co-supervisor: Jaime Cardoso
162023MSc DissertationAlankrita AsthanaIterative Inference for Point-CloudsTUM
172023MSc DissertationRafael CristinoIntroducing Domain Knowledge to Scene Parsing in Autonomous DrivingFEUPwith co-supervisor: Jaime Cardoso
182023MSc DissertationJosé GuerraUncertainty-Driven Out-of-Distribution Detection in 3D LiDAR Object Detection for Autonomous DrivingFEUPInternship @ Bosch Car Multimedia (João Teixeira)
192022MSc DissertationPedro SilvaHuman Feedback during Neural Networks TrainingFEUPwith co-supervisor: Tiago Gonçalves
202022MSc DissertationJoão SilvaEnvironment Detection for Railway Applications based on Automotive TechnologyFEUPInternship @ Continental (António Pereira e João Figueiredo)
212022MSc DissertationAna BezerraPhishing Detection with a Machine Learning NetFCUPInternship @ E-Goi (Ivo Pereira)
222024BSc ProjectJoão MonteiroCross-vehicle collaboration using RGB camerasFCUPwith co-supervisor: Celso Pereira
232024BSc ProjectDiogo MendesAutomatic Recognition of Pig Activity in an Intensive Production SystemFCUPwith co-supervisor: Nuno Lavado
242024BSc ProjectBeatriz SáResearch on Deep Augmentation for Ordinal RegressionFCUPwith co-supervisor: Jaime S. Cardoso
252024BSc ProjectEliandro MeloResource Efficiency using Deep Q-Learning in Autonomous DrivingFCUP
262024BSc ProjectIvo Duarte SimõesResource Efficiency using PPO in Autonomous DrivingFCUP
272023BSc ProjectDiana Teixeira SilvaCondition Invariance for Autonomous Driving by Adversarial LearningFEUP
282022BSc ProjectDiana Teixeira SilvaSemantic Segmentation in Neural Networks using Iterative Visual AttentionFEUPwith co-supervisor: Tiago Gonçalves
292022BSc ProjectFilipe Campos, Francisco Cerqueira, Vasco AlvesMobile App using Object Detection for Car DrivingFEUP
302022BSc ProjectBruno Gomes, Rafael CameloInternship at ANOFEUP