Automatic Programming of MMach's for OCR. - Junior Barrera; Routo Terada; Flávio Soares Corrêa da Silva; Nina Sumiko Tomita (ISMM, 1996)

Automatic programming of binary morphological machines by design of statistically optimal operators in the context of computational learning theory. - Junior Barrera; Edward R. Dougherty; Nina Sumiko Tomita (J. Electronic Imaging, 1997)

Efficient switching algorithm for designing increasing binary filters. - Nina Sumiko Tomita Hirata; Edward R. Dougherty; Junior Barrera (Electronic Imaging: Nonlinear Image Processing, 1999)

Design of Statistically Optimal Stack Filters. - Nina S. T. Hirata; Junior Barrera; Edward R. Dougherty (SIBGRAPI, 1999)

A New Paradigm for the Architecture of Morphological Machines: Binary Decision Diagrams. - Heraldo Maciel França Madeira; Junior Barrera; Roberto Hirata Jr.; Nina S. T. Hirata (SIBGRAPI, 1999)

Text Segmentation by Automatically Designed Morphological Operators. - Nina S. T. Hirata; Junior Barrera; Routo Terada (SIBGRAPI, 2000)

Automatic Programming of Morphological Machines by PAC Learning. - Junior Barrera; Routo Terada; Roberto Hirata Jr.; Nina S. T. Hirata (Fundam. Informaticae, 2000)

A switching algorithm for design of optimal increasing binary filters over large windows. - Nina S. T. Hirata; Edward R. Dougherty; Junior Barrera (Pattern Recognit., 2000)

Multi-Resolution Classification Trees in OCR Design. - Marcel Brun; Junior Barrera; Nina S. T. Hirata; Nestor Walter Trepode; Daniel Oliveira Dantas; Routo Terada (SIBGRAPI, 2001)

High-performance algorithm for Boolean function minimization: the partitioned incremental splitting of intervals (PISI). - Martha Torres; Nina S. T. Hirata; Junior Barrera (Image Processing: Algorithms and Systems, 2002)

Order statistic filters: minimal collection of minimum weight vectors. - Nina S. T. Hirata (ICIP (1), 2003)

Design of Order Statistic Filters from Examples. - Nina S. T. Hirata; Roberto Hirata Jr. (SIBGRAPI, 2003)

Binary Image Operator Design Based on Stacked Generalization. - Nina S. T. Hirata (SIBGRAPI, 2005)

A unifying view for stack filter design based on graph search methods. - Nina S. T. Hirata; Junior Barrera (Pattern Recognit., 2005)

Document Processing via Trained Morphological Operators. - Nina S. T. Hirata (ICDAR, 2007)

Basis Computation Algorithms. - Nina S. T. Hirata; Roberto Hirata Jr.; Junior Barrera (ISMM (1), 2007)

Watershed segmentation: Switching back and forth between markers and hierarchies. - Bruno Klava; Nina Sumiko Tomita Hirata (ISMM (2), 2007)

Two-stage Binary Image Operator Design: an Approach Based on Interaction Information. - Carlos S. Santos; Nina S. T. Hirata; Roberto Hirata Jr. (SIBGRAPI, 2007)

An Exact Algorithm for Optimal MAE Stack Filter Design. - Domingos Dellamonica Jr.; Paulo J. S. Silva; Carlos Humes Jr.; Nina S. T. Hirata; Junior Barrera (IEEE Trans. Image Process., 2007)

Inference of gene regulatory network using temporal coefficient of determination obtained from ergodic Markov chains. - Carlos H. A. Higa; Ronaldo Fumio Hashimoto; Roberto Hirata Jr.; Nina S. T. Hirata; Carlos S. Santos (GENSiPS, 2009)

The Use of High Resolution Images in Morphological Operator Learning. - Nina S. T. Hirata; Marta M. Dornelles (SIBGRAPI, 2009)

Interactive Image Segmentation with Integrated use of the Markers and the Hierarchical Watershed Approaches. - Bruno Klava; Nina S. T. Hirata (VISAPP (1), 2009)

Multilevel Training of Binary Morphological Operators. - Nina S. T. Hirata (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

An Information Theory framework for two-stage binary image operator design. - Carlos S. Santos; Nina S. T. Hirata; Roberto Hirata Jr. (Pattern Recognit. Lett., 2010)

Automatic Labeling of Handwritten Mathematical Symbols via Expression Matching. - Nina S. T. Hirata; Willian Y. Honda (GbRPR, 2011)

Fast QR Code Detection in Arbitrarily Acquired Images. - Luiz Belussi; Nina S. T. Hirata (SIBGRAPI, 2011)

ExpressMatch: A System for Creating Ground-Truthed Datasets of Online Mathematical Expressions. - Frank D. Julca-Aguilar; Nina S. T. Hirata (Document Analysis Systems, 2012)

A genetic algorithm based approach for combining binary image operators. - Marta M. Dornelles; Nina S. T. Hirata (ICPR, 2012)

Fast Component-Based QR Code Detection in Arbitrarily Acquired Images. - Luiz Belussi; Nina S. T. Hirata (J. Math. Imaging Vis., 2013)

Integration of Shape Context and Neural Networks for Symbol Recognition. - Frank D. Julca-Aguilar; Christian Viard-Gaudin; Harold Mouchère; Sofiane Medjkoune; Nina S. T. Hirata (CORIA-CIFED, 2014)

Mathematical Symbol Hypothesis Recognition with Rejection Option. - Frank D. Julca-Aguilar; Nina S. T. Hirata; Christian Viard-Gaudin; Harold Mouchère; Sofiane Medjkoune (ICFHR, 2014)

A model for simulating user interaction in hierarchical segmentation. - Bruno Klava; Nina S. T. Hirata (ICIP, 2014)

Learning to remove staff lines from music score images. - Igor dos Santos Montagner; Roberto Hirata Jr.; Nina S. T. Hirata (ICIP, 2014)

A Machine Learning Based Method for Staff Removal. - Igor dos Santos Montagner; Roberto Hirata Jr.; Nina S. T. Hirata (ICPR, 2014)

Top-Down Online Handwritten Mathematical Expression Parsing with Graph Grammar. - Frank D. Julca-Aguilar; Harold Mouchère; Christian Viard-Gaudin; Nina S. T. Hirata (CIARP, 2015)

Selection of Windows for W-Operator Combination from Entropy Based Ranking. - Marta M. Dornelles; Nina S. T. Hirata (SIBGRAPI, 2015)

Image Segmentation Assessment from the Perspective of a Higher Level Task. - Mariela Atausinchi Fernandez; Rubens M. Lopes; Nina S. T. Hirata (SIBGRAPI, 2015)

Matching based ground-truth annotation for online handwritten mathematical expressions. - Nina S. T. Hirata; Frank D. Julca-Aguilar (Pattern Recognit., 2015)

NILC: A two level learning algorithm with operator selection. - Igor dos Santos Montagner; Nina Sumiko Tomita Hirata; Roberto Hirata; Stéphane Canu (ICIP, 2016)

Plankton Image Classification Based on Multiple Segmentations. - Nina S. T. Hirata; Mariela Atausinchi Fernandez; Rubens M. Lopes (CVAUI@ICPR, 2016)

Comics image processing: learning to segment text. - Nina S. T. Hirata; Igor dos Santos Montagner; Roberto Hirata Jr. (MANPU@ICPR, 2016)

Subexpression and dominant symbol histograms for spatial relation classification in mathematical expressions. - Frank D. Julca-Aguilar; Nina S. T. Hirata; Harold Mouchère; Christian Viard-Gaudin (ICPR, 2016)

Image Operator Learning and Applications. - Igor dos Santos Montagner; Nina S. T. Hirata; Roberto Hirata Jr. (SIBGRAPI Tutorials, 2016)

Kernel Approximations for W-Operator Learning. - Igor dos Santos Montagner; Roberto Hirata Jr.; Nina S. T. Hirata; Stéphane Canu (SIBGRAPI, 2016)

Image Operator Learning Coupled with CNN Classification and Its Application to Staff Line Removal. - Frank Dennis Julca-Aguilar; Nina S. T. Hirata (ICDAR, 2017)

Text/Non-Text Classification of Connected Components in Document Images. - Frank D. Julca-Aguilar; Ana L. L. M. Maia; Nina S. T. Hirata (SIBGRAPI, 2017)

Staff removal using image operator learning. - Igor dos Santos Montagner; Nina S. T. Hirata; Roberto Hirata Jr. (Pattern Recognit., 2017)

Symbol Detection in Online Handwritten Graphics Using Faster R-CNN. - Frank D. Julca-Aguilar; Nina S. T. Hirata (DAS, 2018)

A Machine Learning Approach for Graph-Based Page Segmentation. - Ana Lucia Lima Marreiros Maia; Frank Dennis Julca-Aguilar; Nina Sumiko Tomita Hirata (SIBGRAPI, 2018)

Evaluation of Transfer Learning Scenarios in Plankton Image Classification. - Francisco Caio Maia Rodrigues; Nina S. T. Hirata; Antonio A. Abello; Leandro T. De La Cruz; Rubens M. Lopes; Roberto Hirata Jr. (VISIGRAPP (5: VISAPP), 2018)

An Evaluation of Deep Learning Techniques for Qr Code Detection. - Leonardo Blanger; Nina S. T. Hirata (ICIP, 2019)

Deep Learning Inverse Multidimensional Projections. - Mateus Espadoto; Francisco Caio Maia Rodrigues; Nina S. T. Hirata; Roberto Hirata Jr.; Alexandru C. Telea (EuroVA@EuroVis, 2019)

Greenery Segmentation In Urban Images By Deep Learning. - Artur A. M. Oliveira; Nina S. T. Hirata; Roberto Hirata Jr. (CoRR, 2019)

Improving Neural Network-based Multidimensional Projections. - Mateus Espadoto; Nina S. T. Hirata; Alexandre X. Falcão; Alexandru C. Telea (VISIGRAPP (3: IVAPP), 2020)

Improving Deep Learning Projections by Neighborhood Analysis. - Terri S. Modrakowski; Mateus Espadoto; Alexandre X. Falcão; Nina S. T. Hirata; Alexandru C. Telea (VISIGRAPP (Revised Selected Papers), 2020)

Skeletal Similarity based Structural Performance Evaluation for Document Binarization. - Augusto César Monteiro Silva; Nina S. T. Hirata; Xiaoyi Jiang 001 (ICFHR, 2020)

Self-supervised Learning for Astronomical Image Classification. - Ana Martinazzo; Mateus Espadoto; Nina S. T. Hirata (ICPR, 2020)

Deep Learning for Astronomical Object Classification: A Case Study. - Ana Martinazzo; Mateus Espadoto; Nina S. T. Hirata (VISIGRAPP (5: VISAPP), 2020)

A general framework for the recognition of online handwritten graphics. - Frank D. Julca-Aguilar; Harold Mouchère; Christian Viard-Gaudin; Nina S. T. Hirata (Int. J. Document Anal. Recognit., 2020)

Deep learning multidimensional projections. - Mateus Espadoto; Nina Sumiko Tomita Hirata; Alexandru C. Telea (Inf. Vis., 2020)

Improving Self-supervised Dimensionality Reduction: Exploring Hyperparameters and Pseudo-Labeling Strategies. - Artur André Almeida de Macedo Oliveira; Mateus Espadoto; Roberto Hirata; Nina S. T. Hirata; Alexandru C. Telea (VISIGRAPP (Revised Selected Papers), 2021)

Self-supervised Dimensionality Reduction with Neural Networks and Pseudo-labeling. - Mateus Espadoto; Nina S. T. Hirata; Alexandru C. Telea (VISIGRAPP (3: IVAPP), 2021)

OptMap: Using Dense Maps for Visualizing Multidimensional Optimization Problems. - Mateus Espadoto; Francisco Caio M. Rodrigues; Nina S. T. Hirata; Alexandru C. Telea (VISIGRAPP (3: IVAPP), 2021)

Reducing the need for bounding box annotations in Object Detection using Image Classification data. - Leonardo Blanger; Nina S. T. Hirata; Xiaoyi Jiang 001 (SIBGRAPI, 2021)

Toward a Quantitative Survey of Dimension Reduction Techniques. - Mateus Espadoto; Rafael Messias Martins; Andreas Kerren; Nina S. T. Hirata; Alexandru C. Telea (IEEE Trans. Vis. Comput. Graph., 2021)

Understanding attention-based encoder-decoder networks: a case study with chess scoresheet recognition. - Sergio Y. Hayashi; Nina S. T. Hirata (ICPR, 2022)

Separating Particles from Plankton Images. - Nina S. T. Hirata; Alexandre Morimitsu; Antonio Jose Homsi Goulart (ICPR Workshops (3), 2022)

ISUAM: Intelligent and Safe UAM with Deep Reinforcement Learning. - Cristiano P. Garcia; Weigang Li 001; Nina S. T. Hirata; Clovis Neumann (ICPADS, 2023)

Visualizing High-Dimensional Functions with Dense Maps. - Mateus Espadoto; Francisco Caio M. Rodrigues; Nina S. T. Hirata; Alexandru C. Telea (SN Comput. Sci., 2023)

The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data. - Natália V. N. Rodrigues; L. Raul Abramo; Nina S. T. Hirata (Mach. Learn. Sci. Technol., 2023)

Few-shot Retinal Disease Classification on the Brazilian Multilabel Ophtalmological Dataset. - Gabriel J. Perin; Nina S. T. Hirata (SIBGRAPI, 2024)

An RNN Approach to Real-Time Multimedia QoE Assessment via Facial Expressions. - Eduardo Lopes Pereira Neto; Sergio Y. Hayashi; Daniel Macêdo Batista; Roberto Hirata Jr.; Nina S. T. Hirata; Karina Valdivia Delgado (VCC, 2024)

Extracting and Understanding the Superficial Knowledge in Alignment. - Runjin Chen; Gabriel J. Perin; Xuxi Chen; Xilun Chen; Yan Han; Nina S. T. Hirata; Junyuan Hong; Bhavya Kailkhura (NAACL (Long Papers), 2025)

Efficient Video-Based ALPR System Using YOLO and Visual Rhythm. - Victor Nascimento Ribeiro; Nina S. T. Hirata (CoRR, 2025)

Combining YOLO and Visual Rhythm for Vehicle Counting. - Victor Nascimento Ribeiro; Nina S. T. Hirata (CoRR, 2025)

Efficient License Plate Recognition in Videos Using Visual Rhythm and Accumulative Line Analysis. - Victor Nascimento Ribeiro; Nina S. T. Hirata (CoRR, 2025)

Fine-Tuning Video-Text Contrastive Model for Primate Behavior Retrieval from Unlabeled Raw Videos. - Giulio Cesare Mastrocinque Santo; Patrícia Izar; Irene Delval; Victor de Napole Gregolin; Nina S. T. Hirata (CoRR, 2025)

LoX: Low-Rank Extrapolation Robustifies LLM Safety Against Fine-tuning. - Gabriel J. Perin; Runjin Chen; Xuxi Chen; Nina S. T. Hirata; Zhangyang Wang; Junyuan Hong (CoRR, 2025)

Uncovering Latent Connections in Indigenous Heritage: Semantic Pipelines for Cultural Preservation in Brazil. - Luis Vitor Zerkowski; Nina S. T. Hirata (CoRR, 2025)