Support for computational environments and experiments execution: weakly-supervised and classification fusion methods

• Grant number: 20/11366-0
• Support Opportunities: Scholarships in Brazil - Technical Training Program - Technical Training
• Start date: November 01, 2020
• End date: June 30, 2021
• Field of knowledge: Physical Sciences and Mathematics - Computer Science
• Agreement: Microsoft Research
• Principal Investigator: Daniel Carlos Guimarães Pedronette
• Grantee: Lucas Pascotti Valem
• Host Institution: Instituto de Geociências e Ciências Exatas (IGCE). Universidade Estadual Paulista (UNESP). Campus de Rio Claro. Rio Claro , SP, Brazil
• Company: Universidade Estadual Paulista (UNESP). Campus de Rio Claro. Instituto de Geociências e Ciências Exatas (IGCE)
• Associated research grant: 17/25908-6 - Weakly supervised learning for compressed video analysis on retrieval and classification tasks for visual alert, AP.PITE

Scientific publications

(8)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

GUIMARAES PEDRONETTE, DANIEL CARLOS; PASCOTTI VALEM, LUCAS; LATECKI, LONGIN JAN. Efficient Rank-Based Diffusion Process with Assured Convergence. JOURNAL OF IMAGING, v. 7, n. 3, MAR 2021. (20/11366-0, 18/15597-6, 17/25908-6)

CAMACHO PRESOTTO, JOAO GABRIEL; VALEM, LUCAS PASCOTTI; DE SA, NIKOLAS GOMES; GUIMARAES PEDRONETTE, DANIEL CARLOS; PAPA, JOAO PAULO; IEEE COMP SOC. Weakly Supervised Learning through Rank-based Contextual Measures. 2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), v. N/A, p. 8-pg., 2021-01-01. (14/12236-1, 19/11104-8, 18/15597-6, 19/04754-6, 20/11366-0)

VALEM, LUCAS PASCOTTI; GUIMARAES PEDRONETTE, DANIEL CARLOS; ACM. A Denoising Convolutional Neural Network for Self-Supervised Rank Effectiveness Estimation on Image Retrieval. PROCEEDINGS OF THE 2021 INTERNATIONAL CONFERENCE ON MULTIMEDIA RETRIEVAL (ICMR '21), v. N/A, p. 9-pg., 2021-01-01. (18/15597-6, 17/25908-6, 20/11366-0)

PEREIRA-FERRERO, VANESSA HELENA; VALEM, LUCAS PASCOTTI; PEDRONETTE, DANIEL CARLOS GUIMARAES. Feature augmentation based on manifold ranking and LSTM for image classification (R). EXPERT SYSTEMS WITH APPLICATIONS, v. 213, p. 16-pg., 2023-03-01. (17/25908-6, 20/02183-9, 18/15597-6, 20/11366-0)

VALEM, LUCAS PASCOTTI; PEDRONETTE, DANIEL CARLOS GUIMARAES; LATECKI, LONGIN JAN. Graph Convolutional Networks based on manifold learning for semi-supervised image classification. COMPUTER VISION AND IMAGE UNDERSTANDING, v. 227, p. 14-pg., 2023-01-06. (17/25908-6, 18/15597-6, 20/11366-0)

DE ALMEIDA, LUCAS BARBOSA; VALEM, LUCAS PASCOTTI; GUIMARAES PEDRONETTE, DANIEL CARLOS; IEEE. GRAPH CONVOLUTIONAL NETWORKS AND MANIFOLD RANKING FOR MULTIMODAL VIDEO RETRIEVAL. 2022 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP, v. N/A, p. 5-pg., 2022-01-01. (20/11366-0, 18/15597-6, 20/03311-0)

VALEM, LUCAS PASCOTTI; SATO KAWAI, VINICIUS ATSUSHI; PEREIRA-FERRERO, VANESSA HELENA; GUIMARAES PEDRONETTE, DANIEL CARLOS; IEEE. A NOVEL RANK CORRELATION MEASURE FOR MANIFOLD LEARNING ON IMAGE RETRIEVAL AND PERSON RE-ID. 2022 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP, v. N/A, p. 5-pg., 2022-01-01. (18/15597-6, 20/02183-9, 21/07993-1, 20/11366-0)

PRESOTTO, JOAO GABRIEL CAMACHO; DOS SANTOS, SAMUEL FELIPE; VALEM, LUCAS PASCOTTI; FARIA, FABIO AUGUSTO; PAPA, JOAO PAULO; ALMEIDA, JURANDY; PEDRONETTE, DANIEL CARLOS GUIMARAES. Weakly supervised learning based on hypergraph manifold ranking?. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, v. 89, p. 12-pg., 2022-10-25. (18/15597-6, 18/23908-1, 17/25908-6, 19/04754-6, 20/11366-0)