Lucas Pascotti Valem

57 papers A* 1B 9C 1Journal 27Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep learning-based UAV framework for automated morphological and growth analysis of feedlot cattle. Comput. Electron. Agric. Jianglong Yan, Everton Castelao Tetila, Liang Zhao, Rian C. Gonçalves, Letícia Ferrari Castanheiro, Lucas Pascotti Valem, Jayme G. A. Barbedo
2026	J	`jnl`	Explainability and privacy in AI-enabled crop monitoring: Trends and future directions in soybean research. Comput. Electron. Agric. Jayme Garcia Arnal Barbedo, Marcelo Santos da Silva, Mirela Teixeira Cazzolato, Lucas Pascotti Valem, Renato Tinós, Roseli Aparecida Francelin Romero, Luiz Otávio Murta, Adriano de Jesus Holanda, Joaquim Cezar Felipe, José Baldin Pinheiro, José Tiago Barroso Chagas, Roberto Fray da Silva, Everton Castelão Tetila, Lucio Andre de Castro Jorge, Huaqiang Yuan, Weiling Li, Ketan Kotecha, Liang Zhao
2025	—	`conf`	Density-Guided Rank Correlation Graphs for Graph Convolutional Networks in Image Classification. SIBGRAPI Gabriel Maia Brito, Lucas Pascotti Valem
2025	B	`conf`	Effective Graph and Rank-based Contextual Embeddings for Textual and Multimedia Data. IJCNN Thiago César Castilho Almeida, Gustavo Rosseto Leticio, Lucas Pascotti Valem, André Freitas, Daniel Carlos Guimarães Pedronette
2025	—	`conf`	Graph Convolutional Networks Based on Aggregated Multilevel kNN Graph for Image Classification. SIBGRAPI Gustavo Rosseto Leticio, Vinicius Atsushi Sato Kawai, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2025	—	`conf`	Graph Convolutional Networks and Particle Competition and Cooperation for Semi-Supervised Learning. VISIGRAPP (2): VISAPP Gustavo Rosseto Leticio, Matheus Henrique Jacob dos Santos, Lucas Pascotti Valem, Vinicius Atsushi Sato Kawai, Fabricio Aparecido Breve, Daniel Carlos Guimarães Pedronette
2025	—	`conf`	Neighbor Embedding Projection and Graph Convolutional Networks for Image Classification. VISIGRAPP (2): VISAPP Gustavo Rosseto Leticio, Vinicius Atsushi Sato Kawai, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2025	—	`conf`	Rank-Based Unsupervised Similarity Learning: Framework and Applications. SIBGRAPI Italo De Matos Saldanha, Vinicius Atsushi Sato Kawai, Bionda Rozin, Gustavo Rosseto Leticio, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2025	J	`jnl`	Transduction to induction: Unsupervised representation learning based on rank information. Neurocomputing Deryk Willyan Biotto, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Denis Henrique Pinheiro Salvadeo
2024	—	`conf`	Contrastive Loss Based on Contextual Similarity for Image Classification. ISVC (1) Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Mohand Saïd Allili
2024	J	`jnl`	Feature Fusion and Augmentation Based on Manifold Ranking for Image Classification. Int. J. Semantic Comput. Vanessa Helena Pereira-Ferrero, Lucas Pascotti Valem, Gustavo Rosseto Leticio, Daniel Carlos Guimarães Pedronette
2024	—	`conf`	Feature Fusion for Graph Convolutional Networks in Semi-Supervised Image Classification. SIBGRAPI Marina Chagas Bulach Gapski, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2024	J	`jnl`	Manifold information through neighbor embedding projection for image retrieval. Pattern Recognit. Lett. Gustavo Rosseto Leticio, Vinicius Atsushi Sato Kawai, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
2024	—	`conf`	Neighbor Embedding Projection and Rank-Based Manifold Learning for Image Retrieval. SIBGRAPI Vinicius Atsushi Sato Kawai, Gustavo Rosseto Leticio, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2024	J	`jnl`	Rank-based Hashing for Effective and Efficient Nearest Neighbor Search for Image Retrieval. ACM Trans. Multim. Comput. Commun. Appl. Vinicius Atsushi Sato Kawai, Lucas Pascotti Valem, Alexandro Baldassin, Edson Borin, Daniel Carlos Guimarães Pedronette, Longin Jan Latecki
2024	—	`conf`	Self-Supervised Image Re-Ranking based on Hypergraphs and Graph Convolutional Networks. SIBGRAPI Leonardo Tadeu Lopes, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2024	—	`conf`	Unsupervised Effectiveness Estimation Measure Based on Rank Correlation for Image Retrieval. ISVC (2) Thiago César Castilho Almeida, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2024	J	`jnl`	Unsupervised affinity learning based on manifold analysis for image retrieval: A survey. Comput. Sci. Rev. Vanessa Helena Pereira-Ferrero, Ted G. Lewis, Lucas Pascotti Valem, L. G. P. Ferrero, Daniel C. G. Pedronette, Longin Jan Latecki
2024	J	`jnl`	Weakly supervised classification through manifold learning and rank-based contextual measures. Neurocomputing João Gabriel Camacho Presotto, Lucas Pascotti Valem, Nikolas Gomes de Sá, Daniel Carlos Guimarães Pedronette, João Paulo Papa
2023	—	`conf`	Feature Fusion and Augmentation based on Manifold Ranking for Image Classification. AIKE Vanessa Helena Pereira-Ferrero, Lucas Pascotti Valem, Gustavo Rosseto Leticio, Daniel Carlos Guimarães Pedronette
2023	J	`jnl`	Feature augmentation based on manifold ranking and LSTM for image classification. Expert Syst. Appl. Vanessa Helena Pereira-Ferrero, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2023	J	`jnl`	Gait Recognition Based on Deep Learning: A Survey. ACM Comput. Surv. Claudio Filipi Gonçalves dos Santos, Diego de Souza Oliveira, Leandro A. Passos, Rafael Gonçalves Pires, Daniel Felipe Silva Santos, Lucas Pascotti Valem, Thierry Pinheiro Moreira, Marcos Cleison S. Santana, Mateus Roder, João Paulo Papa, Danilo Colombo
2023	J	`jnl`	Graph Convolutional Networks based on Manifold Learning for Semi-Supervised Image Classification. CoRR Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Longin Jan Latecki
2023	J	`jnl`	Graph Convolutional Networks based on manifold learning for semi-supervised image classification. Comput. Vis. Image Underst. Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Longin Jan Latecki
2023	J	`jnl`	Person Re-ID through Unsupervised Hypergraph Rank Selection and Fusion. CoRR Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2023	J	`jnl`	Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold Learning. CoRR Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Longin Jan Latecki
2023	J	`jnl`	Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold Learning. IEEE Trans. Image Process. Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Longin Jan Latecki
2023	—	`conf`	Self-Supervised Regression for Query Performance Prediction on Image Retrieval. AIKE Lucas Pascotti Valem, Vanessa Helena Pereira-Ferrero, Daniel Carlos Guimarães Pedronette
2023	A*	`conf`	pyUDLF: A Python Framework for Unsupervised Distance Learning Tasks. ACM Multimedia Gustavo Leticio, Lucas Pascotti Valem, Leonardo Tadeu Lopes, Daniel Carlos Guimarães Pedronette
2022	B	`conf`	A Novel Rank Correlation Measure for Manifold Learning on Image Retrieval and Person Re-ID. ICIP Lucas Pascotti Valem, Vinicius Atsushi Sato Kawai, Vanessa Helena Pereira-Ferrero, Daniel Carlos Guimarães Pedronette
2022	J	`jnl`	Gait Recognition Based on Deep Learning: A Survey. CoRR Claudio Filipi Gonçalves dos Santos, Diego de Souza Oliveira, Leandro A. Passos, Rafael Gonçalves Pires, Daniel Felipe Silva Santos, Lucas Pascotti Valem, Thierry Pinheiro Moreira, Marcos Cleison Silva Santana, Mateus Roder, João Paulo Papa, Danilo Colombo
2022	B	`conf`	Graph Convolutional Networks and Manifold Ranking for Multimodal Video Retrieval. ICIP Lucas Barbosa de Almeida, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2022	J	`jnl`	Person Re-ID through unsupervised hypergraph rank selection and fusion. Image Vis. Comput. Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2022	J	`jnl`	RaDE+: A semantic rank-based graph embedding algorithm. Int. J. Inf. Manag. Data Insights Filipe Alves de Fernando, Daniel Carlos Guimarães Pedronette, Gustavo José de Sousa, Lucas Pascotti Valem, Ivan Rizzo Guilherme
2022	J	`jnl`	Weakly supervised learning based on hypergraph manifold ranking. J. Vis. Commun. Image Represent. João Gabriel Camacho Presotto, Samuel Felipe dos Santos, Lucas Pascotti Valem, Fábio Augusto Faria, João Paulo Papa, Jurandy Almeida, Daniel Carlos Guimarães Pedronette
2021	J	`jnl`	A BFS-Tree of ranking references for unsupervised manifold learning. Pattern Recognit. Daniel Carlos Guimarães Pedronette, Lucas Pascotti Valem, Ricardo da Silva Torres
2021	B	`conf`	A Denoising Convolutional Neural Network for Self-Supervised Rank Effectiveness Estimation on Image Retrieval. ICMR Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2021	—	`conf`	A Multi-level Rank Correlation Measure for Image Retrieval. VISIGRAPP (5: VISAPP) Nikolas Gomes de Sá, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2021	J	`jnl`	Efficient Rank-Based Diffusion Process with Assured Convergence. J. Imaging Daniel Carlos Guimarães Pedronette, Lucas Pascotti Valem, Longin Jan Latecki
2021	—	`conf`	Representation Learning for Image Retrieval through 3D CNN and Manifold Ranking. SIBGRAPI Lucas Barbosa de Almeida, Vanessa Helena Pereira-Ferrero, Lucas Pascotti Valem, Jurandy Almeida, Daniel Carlos Guimarães Pedronette
2020	J	`jnl`	A unified model for accelerating unsupervised iterative re-ranking algorithms. Concurr. Comput. Pract. Exp. Flávia Pisani, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres, Edson Borin, Maurício Breternitz Jr.
2020	J	`jnl`	Graph-based selective rank fusion for unsupervised image retrieval. Pattern Recognit. Lett. Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2020	—	`conf`	Manifold Learning-based Clustering Approach Applied to Anomaly Detection in Surveillance Videos. VISIGRAPP (5: VISAPP) Leonardo Tadeu Lopes, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Ivan Rizzo Guilherme, João Paulo Papa, Marcos Cleison Silva Santana, Danilo Colombo
2020	—	`conf`	RaDE: A Rank-based Graph Embedding Approach. VISIGRAPP (5: VISAPP) Filipe Alves de Fernando, Daniel Carlos Guimarães Pedronette, Gustavo José de Sousa, Lucas Pascotti Valem, Ivan Rizzo Guilherme
2020	J	`jnl`	Unsupervised selective rank fusion for image retrieval tasks. Neurocomputing Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2020	B	`conf`	Weakly Supervised Learning through Rank-based Contextual Measures. ICPR João Gabriel Camacho Presotto, Lucas Pascotti Valem, Nikolas Gomes de Sá, Daniel Carlos Guimarães Pedronette, João Paulo Papa
2019	B	`conf`	An Unsupervised Genetic Algorithm Framework for Rank Selection and Fusion on Image Retrieval. ICMR Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2019	J	`jnl`	Multimedia Retrieval Through Unsupervised Hypergraph-Based Manifold Ranking. IEEE Trans. Image Process. Daniel Carlos Guimarães Pedronette, Lucas Pascotti Valem, Jurandy Almeida, Ricardo da Silva Torres
2019	—	`conf`	Unsupervised Effectiveness Estimation Through Intersection of Ranking References. CAIP (2) João Gabriel Camacho Presotto, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2018	B	`conf`	Manifold Correlation Graph for Semi-Supervised Learning. IJCNN Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Fabricio Aparecido Breve, Ivan Rizzo Guilherme
2018	J	`jnl`	Unsupervised Similarity Learning through Rank Correlation and kNN Sets. ACM Trans. Multim. Comput. Commun. Appl. Lucas Pascotti Valem, Carlos Renan De Oliveira, Daniel Carlos Guimarães Pedronette, Jurandy Almeida
2018	J	`jnl`	Unsupervised similarity learning through Cartesian product of ranking references. Pattern Recognit. Lett. Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Jurandy Almeida
2017	—	`conf`	A Rank Aggregation Framework for Video Interestingness Prediction. ICIAP (1) Jurandy Almeida, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2017	B	`conf`	An Unsupervised Distance Learning Framework for Multimedia Retrieval. ICMR Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2017	C	`conf`	Selection and Combination of Unsupervised Learning Methods for Image Retrieval. CBMI Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2016	—	`conf`	Unsupervised Similarity Learning through Cartesian Product of Ranking References for Image Retrieval Tasks. SIBGRAPI Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2015	B	`conf`	Effective, Efficient, and Scalable Unsupervised Distance Learning in Image Retrieval Tasks. ICMR Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres, Edson Borin, Jurandy Almeida