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ORCIDJorge Sueiras
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2020 – today
- 2021
[i2]Jorge Sueiras:
Continuous Offline Handwriting Recognition using Deep Learning Models. CoRR abs/2112.13328 (2021)
2010 – 2019
- 2018
- [j4]Jorge Sueiras
, Victoria Ruíz, Ángel Sánchez, José Francisco Vélez:
Offline continuous handwriting recognition using sequence to sequence neural networks. Neurocomputing 289: 119-128 (2018) - 2017
- [c3]Victoria Ruíz, Maria T. Gonzalez de Lena, Jorge Sueiras, Ángel Sánchez, José Francisco Vélez:
A Deep Learning Approach to Handwritten Number Recognition. IWINAC (2) 2017: 193-202 - [i1]Victoria Ruíz, Jorge Sueiras, Ángel Sánchez, José Francisco Vélez:
Deep Learning Applied to Semantic Content Extraction of Document Images. ERCIM News 2017(108) (2017) - 2016
- [j3]Daniel Vélez, Jorge Sueiras, Alejandro Ortega, José Francisco Vélez:
A method for K-Means seeds generation applied to text mining. Stat. Methods Appl. 25(3): 477-499 (2016) - [c2]Jorge Sueiras, Victoria Ruíz, Ángel Sánchez, José Francisco Vélez:
Using a Synthetic Character Database for Training Deep Learning Models Applied to Offline Handwritten Recognition. ISDA 2016: 299-308
2000 – 2009
- 2007
- [j2]Jorge Sueiras, Alfonso Salafranca, José Luis Flórez:
A classical predictive modeling approach for task "Who rated what?" of the KDD CUP 2007. SIGKDD Explor. 9(2): 57-61 (2007) - [j1]Jorge Sueiras, Daniel Vélez, José Luis Flórez:
A combination of approaches to solve task "How Many Ratings" of the KDD CUP 2007. SIGKDD Explor. 9(2): 70-74 (2007) - [c1]Jorge Sueiras, Fausto Morales, Juan-Carlos Ibanez:
From TV to online advertising: recent experience from the Spanish media. AdKDD@KDD 2007: 63-70
Coauthor Index
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