• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 77 matches

• 2024
• 
  Sergio Y. Hayashi, Nina S. T. Hirata:
  Understanding attention-based encoder-decoder networks: a case study with chess scoresheet recognition. CoRR abs/2406.06538 (2024)
• 2023
• 
  Natália V. N. Rodrigues, L. Raul Abramo, Nina S. T. Hirata:
  The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data. Mach. Learn. Sci. Technol. 4(4): 45019 (2023)
• 
  Mateus Espadoto, Francisco Caio M. Rodrigues, Nina S. T. Hirata, Alexandru C. Telea:
  Visualizing High-Dimensional Functions with Dense Maps. SN Comput. Sci. 4(3): 230 (2023)
• 
  Cristiano P. Garcia, Weigang Li, Nina S. T. Hirata, Clovis Neumann:
  ISUAM: Intelligent and Safe UAM with Deep Reinforcement Learning. ICPADS 2023: 378-383
• 2022
• 
  Sergio Y. Hayashi, Nina S. T. Hirata:
  Understanding attention-based encoder-decoder networks: a case study with chess scoresheet recognition. ICPR 2022: 1586-1592
• 
  Nina S. T. Hirata, Alexandre Morimitsu, Antonio Jose Homsi Goulart:
  Separating Particles from Plankton Images. ICPR Workshops (3) 2022: 445-459
• 2021
• 
  Mateus Espadoto, Rafael Messias Martins, Andreas Kerren, Nina S. T. Hirata, Alexandru C. Telea:
  Toward a Quantitative Survey of Dimension Reduction Techniques. IEEE Trans. Vis. Comput. Graph. 27(3): 2153-2173 (2021)
• 
  Artur André Almeida de Macedo Oliveira, Mateus Espadoto, Roberto Hirata, Nina S. T. Hirata, Alexandru C. Telea:
  Improving Self-supervised Dimensionality Reduction: Exploring Hyperparameters and Pseudo-Labeling Strategies. VISIGRAPP (Revised Selected Papers) 2021: 135-161
• 
  Mateus Espadoto, Nina S. T. Hirata, Alexandru C. Telea:
  Self-supervised Dimensionality Reduction with Neural Networks and Pseudo-labeling. VISIGRAPP (3: IVAPP) 2021: 27-37
• 
  Mateus Espadoto, Francisco Caio M. Rodrigues, Nina S. T. Hirata, Alexandru C. Telea:
  OptMap: Using Dense Maps for Visualizing Multidimensional Optimization Problems. VISIGRAPP (3: IVAPP) 2021: 123-132
• 
  Leonardo Blanger, Nina S. T. Hirata, Xiaoyi Jiang:
  Reducing the need for bounding box annotations in Object Detection using Image Classification data. SIBGRAPI 2021: 199-206
• 
  Natália V. N. Rodrigues, L. Raul Abramo, Nina S. T. Hirata:
  The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data. CoRR abs/2108.04742 (2021)
• 2020
• 
  Frank D. Julca-Aguilar, Harold Mouchère, Christian Viard-Gaudin, Nina S. T. Hirata:
  A general framework for the recognition of online handwritten graphics. Int. J. Document Anal. Recognit. 23(2): 143-160 (2020)
• 
  Mateus Espadoto, Nina Sumiko Tomita Hirata, Alexandru C. Telea:
  Deep learning multidimensional projections. Inf. Vis. 19(3): 247-269 (2020)
• 
  Mateus Espadoto, Nina S. T. Hirata, Alexandre X. Falcão, Alexandru C. Telea:
  Improving Neural Network-based Multidimensional Projections. VISIGRAPP (3: IVAPP) 2020: 29-41
• 
  Terri S. Modrakowski, Mateus Espadoto, Alexandre X. Falcão, Nina S. T. Hirata, Alexandru C. Telea:
  Improving Deep Learning Projections by Neighborhood Analysis. VISIGRAPP (Revised Selected Papers) 2020: 127-152
• 
  Augusto César Monteiro Silva, Nina S. T. Hirata, Xiaoyi Jiang:
  Skeletal Similarity based Structural Performance Evaluation for Document Binarization. ICFHR 2020: 37-42
• 
  Ana Martinazzo, Mateus Espadoto, Nina S. T. Hirata:
  Self-supervised Learning for Astronomical Image Classification. ICPR 2020: 4176-4182
• 
  Ana Martinazzo, Mateus Espadoto, Nina S. T. Hirata:
  Deep Learning for Astronomical Object Classification: A Case Study. VISIGRAPP (5: VISAPP) 2020: 87-95
• 
  Ana Martinazzo, Mateus Espadoto, Nina S. T. Hirata:
  Self-supervised Learning for Astronomical Image Classification. CoRR abs/2004.11336 (2020)
• 2019
• 
  Leonardo Blanger, Nina S. T. Hirata:
  An Evaluation of Deep Learning Techniques for Qr Code Detection. ICIP 2019: 1625-1629
• 
  Mateus Espadoto, Francisco Caio Maia Rodrigues, Nina S. T. Hirata, Roberto Hirata Jr., Alexandru C. Telea:
  Deep Learning Inverse Multidimensional Projections. EuroVA@EuroVis 2019: 13-17
• 
  Mateus Espadoto, Nina S. T. Hirata, Alexandru C. Telea:
  Deep Learning Multidimensional Projections. CoRR abs/1902.07958 (2019)
• 
  Artur A. M. Oliveira, Nina S. T. Hirata, Roberto Hirata Jr.:
  Greenery Segmentation In Urban Images By Deep Learning. CoRR abs/1912.06199 (2019)
• 2018
• 
  Frank D. Julca-Aguilar, Nina S. T. Hirata:
  Symbol Detection in Online Handwritten Graphics Using Faster R-CNN. DAS 2018: 151-156
• 
  Ana Lucia Lima Marreiros Maia, Frank Dennis Julca-Aguilar, Nina Sumiko Tomita Hirata:
  A Machine Learning Approach for Graph-Based Page Segmentation. SIBGRAPI 2018: 424-431
• 
  Francisco Caio Maia Rodrigues, Nina S. T. Hirata, Antonio A. Abello, Leandro T. De La Cruz, Rubens M. Lopes, Roberto Hirata Jr.:
  Evaluation of Transfer Learning Scenarios in Plankton Image Classification. VISIGRAPP (5: VISAPP) 2018: 359-366
• 2017
• 
  Igor dos Santos Montagner, Nina S. T. Hirata, Roberto Hirata Jr.:
  Staff removal using image operator learning. Pattern Recognit. 63: 310-320 (2017)
• 
  Frank Dennis Julca-Aguilar, Nina S. T. Hirata:
  Image Operator Learning Coupled with CNN Classification and Its Application to Staff Line Removal. ICDAR 2017: 53-58
• 
  Frank D. Julca-Aguilar, Ana L. L. M. Maia, Nina S. T. Hirata:
  Text/Non-Text Classification of Connected Components in Document Images. SIBGRAPI 2017: 450-455

skipping 47 more matches