Publications

Theses and Dissertations:

• VALEM, L. P. Contextual Similarity Learning for Image Retrieval and Classification: Applications in Person Re-identification. PhD Dissertation, São Paulo State University (Unesp), 2024.
  📄 Full Text   📋 Bibtex  

• VALEM, L. P. Combinação Seletiva Não Supervisionada de Listas Ranqueadas Aplicada à Busca de Imagens pelo Conteúdo. Master's Thesis, São Paulo State University (Unesp), 2019.
  📄 Full Text   📋 Bibtex  

Journal Papers:

1. TORRENTE, P. O.; PAULO, D. G.; VALEM, L. P.; YAN, J.; TETILA, E. C.; BARBEDO, J. G. A.; ZHAO, L. UAV-Based Computer Vision for Cattle Detection and Feed Bunk Spatial Analysis. In: IEEE Transactions on AgriFood Electronics; 2026. Accepted for publication.

2. KAWAI, V. A. S.; LETICIO, G. R.; VALEM, L. P.; PEDRONETTE, D. C. G. Aggregating Neighbor Embedding Projection and Rank-Based Manifold Learning for Image Retrieval. In: Journal of the Brazilian Computer Society; 2026.
   🔗 Online Publication   💻 Download Code

3. BRITO, G. M.; DUARTE, R. M.; VALEM, L. P. Rank Correlation Graphs with Mutual Neighborhood Weighting for Graph Convolutional Networks in Image Classification. In: Pattern Recognition Letters; 2026.
   🔗 Online Publication   💻 Download Code

4. GAPSKI, M. C. B.; KAWAI, V. A. S.; LETICIO, G. R.; VALEM, L. P.; PEDRONETTE, D. C. G.; ALLILI, M. S. Graph Neural Networks for Semi-Supervised Image Classification with Multi-Feature Aggregation. In: Journal of the Brazilian Computer Society; 2026.
   🔗 Online Publication   💻 Download Code

5. YAN, J.; TETILA, E. C.; ZHAO, L.; GONÇALVES, R. C.; CASTANHEIRO, L. F.; VALEM, L. P.; BARBEDO, J. G. A. Deep learning-based UAV framework for automated morphological and growth analysis of feedlot cattle. In: Computers and Electronics in Agriculture; 2026.
   🔗 Online Publication

6. BARBEDO, J. G. A.; DA SILVA, M. S.; CAZZOLATO, M. T.; VALEM, L. P.; TINÓS, R.; ROMERO, R. A. F.; MURTA, L. O.; DE JESUS HOLANDA, A.; FELIPE, J. C.; PINHEIRO, J. B.; CHAGAS, J. T. B.; DA SILVA, R. F.; TETILA, E. C.; DE CASTRO JORGE, L. A.; YUAN, H.; LI, W.; KOTECHA, K.; ZHAO, L. Explainability and privacy in AI-enabled crop monitoring: Trends and future directions in soybean research. In: Computers and Electronics in Agriculture; 2026.
   🔗 Online Publication

7. BIOTTO, D. W.; VALEM, L. P.; PEDRONETTE, D. C. G.; SALVADEO, D. H. P. Transduction to induction: Unsupervised representation learning based on rank information. In: Neurocomputing; 2025.
   🔗 Online Publication

8. KAWAI, V. S.; VALEM, L. P.; BALDASSIN, A.; BORIN, E.; PEDRONETTE, D. C. G.; LATECKI, L. J. Rank-based Hashing for Effective and Efficient Nearest Neighbor Search for Image Retrieval. In: ACM Transactions on Multimedia Computing, Communications, and Applications; 2024.
   🔗 Online Publication   💻 Download Code

9. PRESOTTO, J. G. C.; VALEM, L. P.; DE SÁ, N. G.; PEDRONETTE, D. C. G.; PAPA, J. P. Weakly supervised classification through manifold learning and rank-based contextual measures. In: Neurocomputing; 2024.
   🔗 Online Publication

10. LETICIO, G. R.; KAWAI, V. S.; VALEM, L. P.; PEDRONETTE, D. C. G.; DA S. TORRES, R. Manifold information through neighbor embedding projection for image retrieval. In: Pattern Recognition Letters; 2024.
    🔗 Online Publication

11. PEREIRA-FERRERO, V. H.; LEWIS, T. G.; VALEM, L. P.; FERRERO, L. G. P.; PEDRONETTE, D. C. G.; LATECKI, L. J. Unsupervised affinity learning based on manifold analysis for image retrieval: A survey. In: Computer Science Review; 2024.
    🔗 Online Publication

12. PEREIRA-FERRERO, V. H.; VALEM, L. P.; LETICIO, G. R.; PEDRONETTE, D. C. G. Feature Fusion and Augmentation Based on Manifold Ranking for Image Classification. In: International Journal of Semantic Computing; 2024.
    🔗 Online Publication

13. VALEM, L. P.; PEDRONETTE, D. C. G. ; LATECKI, L. J. . Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold Learning. In: IEEE Transactions on Image Processing (TIP); 2023.
    📄 Pre-Print PDF   🔗 Online Publication   💻 Download Code

14. VALEM, L. P.; PEDRONETTE, D. C. G. ; LATECKI, L. J. . Graph Convolutional Networks based on Manifold Learning for Semi-Supervised Image Classification. In: Computer Vision and Image Understanding; 2023.
    📄 Pre-Print PDF   🔗 Online Publication  

15. DOS SANTOS, CLAUDIO; OLIVEIRA, D.; PASSOS, L., PIRES, R.; SANTOS, D. F.; VALEM, L. P. ; MOREIRA, T. P.; SANTANA, M. C.; RODER, M.; PAPA, J. P.; COLOMBO, D. . Gait Recognition Based on Deep Learning: A Survey. In: ACM Computing Surveys; v. 55, 2023.
    📄 Pre-Print PDF   🔗 Online Publication  

16. PEREIRA-FERRERO, V. H.; VALEM, L. P.; PEDRONETTE, D. C. G. Feature augmentation based on manifold ranking and LSTM for image classification. In: Expert Systems with Applications; 2023.
    🔗 Online Publication   💻 Download Code

17. VALEM, L. P.; PEDRONETTE, D. C. G. . Person Re-ID through unsupervised hypergraph rank selection and fusion. In: Journal of Image and Vision Computing; 2022.
    📄 Pre-Print PDF   🔗 Online Publication  

18. DE FERNANDO, F. A. ; PEDRONETTE, D. C. G. ; DE SOUSA, G. J. ; VALEM, L. P. ; GUILHERME, I. R. . RaDE+: A semantic rank-based graph embedding algorithm. In: International Journal of Information Management Data Insights; v. 2, no. 1, 2022.
    📄 PDF   🔗 Online Publication     💻 Download Code

19. PRESOTTO, J. G. C.; DOS SANTOS, S. F.; VALEM, L. P.; FARIA, F. A.; PAPA, J. P.; ALMEIDA, J.; PEDRONETTE, D. C. G. Weakly supervised learning based on hypergraph manifold ranking. In: Journal of Visual Communication and Image Representation; 2022.
    🔗 Online Publication

20. PEDRONETTE, D. C. G. ; VALEM, L. P. ; TORRES, R. S. . A BFS-Tree of Ranking References for Unsupervised Manifold Learning. In: Pattern Recognition; v. 111, p. 107666, 2021.
    📄 Pre-Print PDF   🔗 Online Publication   📋 Bibtex   💻 Download Code

21. PEDRONETTE, D. C. G. ; VALEM, L. P. ; LATECKI, L. J. . Efficient Rank-Based Diffusion Process with Assured Convergence. In: Journal of Imaging; v. 7, no. 3, p. 49, 2021.
    📄 PDF   🔗 Online Publication   📋 Bibtex   💻 Download Code

22. VALEM, L. P.; PEDRONETTE, D. C. G. . Graph-based selective rank fusion for unsupervised image retrieval. In: Pattern Recognition Letters; v. 135, p. 82-89, 2020.
    🔗 Online Publication

23. PISANI. F; VALEM, L. P.; PEDRONETTE, D. C. G. ; TORRES, R. S. ; BORIN, E. ; BRETERNITZ JR., M. . A unified model for accelerating unsupervised iterative re-ranking algorithms. In: Concurrency and Computation: Practice and Experience; v. 32, p. e5702, 2020.
    🔗 Online Publication

24. VALEM, L. P. ; PEDRONETTE, D. C. G. . Unsupervised Selective Rank Fusion for Image Retrieval Tasks. In: Neurocomputing; v. 377, p. 182-199, 2020.
    📄 Pre-Print PDF   🔗 Online Publication   📋 Bibtex   💻 Download Code

25. PEDRONETTE, D. C. G. ; VALEM, L. P. ; ALMEIDA, J.; TORRES, R. S. . Multimedia Retrieval Through Unsupervised Hypergraph-Based Manifold Ranking. In: IEEE Transactions on Image Processing (TIP); v. 28, p. 5824–5838, 2019.
    📄 Pre-Print PDF   🔗 Online Publication   💻 Download Code

26. VALEM, L. P. ; DE OLIVEIRA C. R. ; PEDRONETTE, D. C. G. ; ALMEIDA, J. . Unsupervised Similarity Learning through Rank Correlation and kNN Sets. In: The ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM); 2018.
    🔗 Online Publication

27. VALEM, L. P. ; PEDRONETTE, D. C. G. ; ALMEIDA, J. . Unsupervised Similarity Learning through Cartesian Product of Ranking References for Image Retrieval Tasks. In: Pattern Recognition Letters (PRL); 2018.
    🔗 Online Publication

Conference Papers:

1. BEZERRA, I. H. C.; TRIVEDY, V.; VALEM, L. P.; LATECKI, L. J. Region-Aware CLS Token Augmentation for Fine-Grained Image Retrieval. In: 39th SIBGRAPI Conference on Graphics, Patterns and Images; 2026.
   🏅 Honorable Mention
   🔗 Online Publication   💻 Download Code

2. DUARTE, R. M.; BRITO, G. M.; VALEM, L. P. Rank Correlation Meets Gaussian Degree Normalization in GNNs for Image Classification. In: 39th SIBGRAPI Conference on Graphics, Patterns and Images; 2026.
   🔗 Online Publication   💻 Download Code

3. PAULO, D. G.; VALEM, L. P. Rethinking Image Graphs for GCNs: Beyond Similarity with Diversity. In: 39th SIBGRAPI Conference on Graphics, Patterns and Images; 2026.
   🔗 Online Publication   💻 Download Code

4. BENATO, B.; VALEM, L. P.; BRITO, G. M.; BEZERRA, I. H. C.; DUARTE, R. M.; NONATO, L. G. An Introduction to Graph Neural Networks in Computer Vision: A Practical Perspective. In: 39th SIBGRAPI Conference on Graphics, Patterns and Images; 2026.
   🔗 Online Publication

5. DUARTE, R. M.; PONCIANO, J. R.; VALEM, L. P. Gaussian Rank-Based Neighborhood Degree for Graph Neural Networks in Image Classification. In: Brazilian Symposium on Databases (SBBD); 2026.
   🔗 Online Publication   💻 Download Code

6. PAULO, D. G.; VALEM, L. P. Diversidade na Construção de Vizinhanças para Redes Convolucionais de Grafos em Classificação de Imagens. In: Workshop de Teses e Dissertações em Bancos de Dados (WTDBD / SBBD); 2026.
   🔗 Online Publication

7. DANTAS, P. R.; VALEM, L. P. A Coreset Selection Framework with Ensemble Aggregation for Image Classification. In: Workshop de Trabalhos de Alunos de Graduação (WTAG / SBBD); 2026.
   🥇 Best Paper Award
   🔗 Online Publication   💻 Download Code

8. MAGALHAES, C. P.; VALEM, L. P. Integrating Large Language Models and Graph Convolutional Networks for Semi-Supervised Image Classification. In: Workshop de Trabalhos de Alunos de Graduação (WTAG / SBBD); 2026.
   🏅 Honorable Mention
   🔗 Online Publication   💻 Download Code

9. CARVALHO, V. D. D.; REIS, L. P. D. S.; SILVA, M. F. L. D.; INDALÉCIO, C. L.; RODRIGUES, K. R. D. H.; VALEM, L. P. Informática para Terceira Idade - Socialização e Inclusão Digital do Público Idoso. In: Anais Estendidos do XXXI Simpósio Brasileiro de Sistemas Multimídia e Web (WebMedia); 2025.
   🔗 Online Publication

10. BRITO, G. M.; VALEM, L. P. Density-Guided Rank Correlation Graphs for Graph Convolutional Networks in Image Classification. In: 38th SIBGRAPI Conference on Graphics, Patterns and Images; 2025.
    🥇 Best Paper Award
    🔗 Online Publication   💻 Download Code

11. DE MATOS SALDANHA, I.; KAWAI, V. A. S.; ROZIN, B.; LETICIO, G. R.; VALEM, L. P.; PEDRONETTE, D. C. G. Rank-Based Unsupervised Similarity Learning: Framework and Applications. In: 38th SIBGRAPI Conference on Graphics, Patterns and Images (Tutorials); 2025.
    🔗 Online Publication

12. ALMEIDA, T. C. C.; LETICIO, G.; VALEM, L. P.; FREITAS, A. N.; PEDRONETTE, D. C. G. Effective Graph and Rank-based Contextual Embeddings for Textual and Multimedia Data. In: IEEE International Joint Conference on Neural Networks (IJCNN); 2025.
    🔗 Online Publication   💻 Download Code

13. LETICIO, G.; KAWAI, V. A. S.; VALEM, L. P.; PEDRONETTE, D. C. G. Neighbor Embedding Projection and Graph Convolutional Networks for Image Classification. In: 20th International Conference on Computer Vision Theory and Applications (VISAPP); 2025.
    🔗 Online Publication

14. LETICIO, G.; SANTOS, M. H. J.; VALEM, L. P.; KAWAI, V. A. S.; BREVE, F.; PEDRONETTE, D. C. G. Graph Convolutional Networks and Particle Competition and Cooperation for Semi-Supervised Learning. In: 20th International Conference on Computer Vision Theory and Applications (VISAPP); 2025.
    🔗 Online Publication

15. LETICIO, G. R.; KAWAI, V. A. S.; VALEM, L. P.; PEDRONETTE, D. C. G. Graph Convolutional Networks Based on Aggregated Multilevel kNN Graph for Image Classification. In: 38th SIBGRAPI Conference on Graphics, Patterns and Images; 2025.
    🔗 Online Publication

16. GAPSKI, M. C. B.; VALEM, L. P.; GUIMARÃES PEDRONETTE, D. C. Feature Fusion for Graph Convolutional Networks in Semi-Supervised Image Classification. In: 37th SIBGRAPI Conference on Graphics, Patterns and Images; 2024.
    🔗 Online Publication

17. KAWAI, V. A. S.; LETICIO, G. R.; VALEM, L. P.; PEDRONETTE, D. C. G. Neighbor Embedding Projection and Rank-Based Manifold Learning for Image Retrieval. In: 37th SIBGRAPI Conference on Graphics, Patterns and Images; 2024.
    🔗 Online Publication

18. LOPES, L. T.; VALEM, L. P.; GUIMARAES PEDRONETTE, D. C. Self-Supervised Image Re-Ranking based on Hypergraphs and Graph Convolutional Networks. In: 37th SIBGRAPI Conference on Graphics, Patterns and Images; 2024.
    🔗 Online Publication

19. VALEM, L. P.; PEDRONETTE, D. C. G.; Allili, M. S. . Contrastive Loss based on Contextual Similarity for Image Classification. In: 19th International Symposium on Visual Computing (ISVC), 2024, Lake Tahoe, NV, USA.
    🔗 Online Publication   📄 Pre-Print PDF   📋 Bibtex   📦 Supplementary Material + Code

20. ALMEIDA, T. C. C. VALEM L. P.; PEDRONETTE, D. C. G. . Unsupervised Effectiveness Estimation Measure Based on Rank Correlation for Image Retrieval. In: 19th International Symposium on Visual Computing (ISVC), 2024, Lake Tahoe, NV, USA.
    🔗 Online Publication   📄 Pre-Print PDF   📋 Bibtex   📦 Supplementary Material + Code

21. LETICIO, G.; VALEM, L. P.; LOPES, L. T.; PEDRONETTE, D. C. G. pyUDLF: A Python Framework for Unsupervised Distance Learning Tasks. In: 31st ACM International Conference on Multimedia (ACM MM); 2023.
    🔗 Online Publication   💻 Download Code

22. PEREIRA-FERRERO, V. H.; VALEM, L. P.; LETICIO, G. R.; PEDRONETTE, D. C. G. Feature Fusion and Augmentation based on Manifold Ranking for Image Classification. In: IEEE Sixth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE); 2023.
    🔗 Online Publication

23. VALEM, L. P.; PEREIRA-FERRERO, V. H.; PEDRONETTE, D. C. G. Self-Supervised Regression for Query Performance Prediction on Image Retrieval. In: IEEE Sixth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE); 2023.
    🔗 Online Publication

24. VALEM, L. P.; KAWAI, V. A. S.; PEREIRA-FERRERO, V. H. ; PEDRONETTE, D. C. G. . A Novel Rank Correlation Measure for Manifold Learning on Image Retrieval and Person Re-ID. In: IEEE International Conference on Image Processing (ICIP) , 2022.
    📄 Pre-Print PDF   🔗 Online Publication

25. ALMEIDA, L. B.; VALEM, L. P.; PEDRONETTE, D. C. G. Graph Convolutional Networks and Manifold Ranking for Multimodal Video Retrieval. In: IEEE International Conference on Image Processing (ICIP); 2022.
    🔗 Online Publication

26. ALMEIDA, L. B. ; PEREIRA-FERRERO, V. H. ; VALEM, L. P. ; ALMEIDA, J. ; PEDRONETTE, D. C. G. . Representation Learning for Image Retrieval through 3D CNN and Manifold Ranking. In: SIBGRAPI Conference on Graphics, Patterns and Images, 2021.
    🔗 Online Publication

27. DE SÁ, N. G.; VALEM, L. P.; PEDRONETTE, D. A Multi-level Rank Correlation Measure for Image Retrieval. In: 16th International Conference on Computer Vision Theory and Applications (VISAPP); 2021.
    🔗 Online Publication

28. PRESOTTO, J. G. C.; VALEM, L. P.; de SÁ, N. G.; PEDRONETTE, D. C. G.; PAPA, J. P. . Weakly Supervised Learning through Rank-based Contextual Measures. In: 2020 25th International Conference on Pattern Recognition (ICPR), 2021, pp. 5752-5759.
    📄 Pre-Print PDF   🔗 Online Publication   🎤 Paper Presentation   📋 Bibtex   💻 Download Code

29. VALEM, L. P. ; PEDRONETTE, D. C. G. . A Denoising Convolutional Neural Network for Self-Supervised Rank Effectiveness Estimation on Image Retrieval. In: ACM International Conference on Multimedia Retrieval (ICMR), 2021, Taipei - Taiwan.
    📄 Pre-Print PDF   🔗 Online Publication   🎤 Presentation

30. DE FERNANDO, F. A. ; PEDRONETTE, D. C. G. ; DE SOUSA, G. J. ; VALEM, L. P. ; GUILHERME, I. R. . RaDE: A Rank-based Graph Embedding Approach. In: 15th International Conference on Computer Vision Theory and Applications (VISAPP), 2020, Valleta - Malta.
    📄 Pre-Print PDF   🔗 Online Publication   📋 Bibtex   💻 Download Code

31. LOPES, L. T. ; VALEM, L. P. ; PEDRONETTE, D. C. G. ; GUILHERME, I. R. ; PAPA, J. P. ; SANTANA, M. C. S. ; COLOMBO, D. . Manifold Learning-based Clustering Approach Applied to Anomaly Detection in Surveillance Videos. In: 15th International Conference on Computer Vision Theory and Applications (VISAPP), 2020, Valleta - Malta.
    📄 Pre-Print PDF   🔗 Online Publication   📋 Bibtex   💻 Download Code

32. VALEM, L. P. ; PEDRONETTE, D. C. G. . An Unsupervised Genetic Algorithm Framework for Rank Selection and Fusion on Image Retrieval. In: ACM International Conference on Multimedia Retrieval (ICMR), 2019, Ottawa - Canada.
    📄 Pre-Print PDF   🔗 Online Publication

33. PRESOTTO, J. G. C.; VALEM, L. P.; PEDRONETTE, D. C. G. Unsupervised Effectiveness Estimation Through Intersection of Ranking References. In: Computer Analysis of Images and Patterns (CAIP); 2019.
    🔗 Online Publication

34. VALEM, L. P. ; PEDRONETTE, D. C. G. ; BREVE, F. ; GUILHERME, I. R. . Manifold Correlation Graph for Semi-Supervised Learning. In: IJCNN IEEE WCCI, 2018, Rio de Janeiro - Brazil.
    📄 Pre-Print PDF   🔗 Online Publication   📋 Bibtex

35. VALEM, L P. ; PEDRONETTE, D. C. G. . An Unsupervised Distance Learning Framework for Multimedia Retrieval. In: ACM International Conference on Multimedia Retrieval (ICMR), 2017, Bucharest - Romania.
    📄 Pre-Print PDF   🔗 Online Publication   📋 Bibtex   🌐 UDLF Official Page   💻 UDLF on Github

36. VALEM, L. P. ; PEDRONETTE, D. C. G. . Selection and Combination of Unsupervised Learning Methods for Image Retrieval. In: 15th International Workshop on Content-Based Multimedia Indexing (CBMI' 17), 2017, Florence - Italy.
    📄 Pre-Print PDF   🔗 Online Publication   📋 Bibtex

37. ALMEIDA, J. ; VALEM, L. P. ; PEDRONETTE, D. C. G. . A Rank Aggregation Framework for Video Interestingness Prediction. In: 19th International Conference on Image Analysis and Processing (ICIAP), 2017, Catania - Italy.
    📄 Pre-Print PDF   🔗 Online Publication   📋 Bibtex

38. VALEM, L. P. ; PEDRONETTE, D. C. G. . Unsupervised Similarity Learning through Cartesian Product of Ranking References for Image Retrieval Tasks. In: SIBGRAPI Conference on Graphics, Patterns and Images, 2016, São José dos Campos - Brazil.
    🥇 Best Paper Award
    📄 Pre-Print PDF   🔗 Online Publication   📋 Bibtex   💻 Download Code

39. VALEM, L. P. ; PEDRONETTE, D. C. G. ; TORRES, R. da S. ; EDSON BORIN ; ALMEIDA, J. . Effective, Efficient, and Scalable Unsupervised Distance Learning in Image Retrieval Tasks. In: ACM International Conference on Multimedia Retrieval (ICMR), 2015, Shangai - China.
    📄 Pre-Print PDF   🔗 Online Publication   📋 Bibtex   💻 Download Code

Abstracts in Conference Proceedings:

1. VALEM, L. P.; PEDRONETTE, D. C. G. Contextual Similarity Learning for Image Retrieval and Classification: Applications in Person Re-Identification. In: XXXVIII Concurso de Teses e Dissertações (CTD / SBC); 2025.
   🔗 Online Publication

2. VALEM, L. P.; PEDRONETTE, D. C. G. Unsupervised Selective Rank Fusion for Content-based Image Retrieval. In: XXXIII Concurso de Teses e Dissertações (CTD / SBC); 2020.
   🔗 Online Publication

3. VALEM, L. P.; PEDRONETTE, D. C. G. Unsupervised Selective Rank Fusion on Content-Based Image Retrieval. In: Anais Estendidos da XXXII Conference on Graphics, Patterns and Images (SIBGRAPI); 2019.
   🔗 Online Publication

4. VALEM, L. P.; PEDRONETTE, D. C. G. Método de Aprendizado Não Supervisionado Baseado no Produto Cartesiano de Rankings para Busca de Imagens. In: 36º Concurso de Trabalhos de Iniciação Científica (CTIC / CSBC); 2017.
   🔗 Online Publication