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Handwriting recognition technology allows recognizing a written text from a given data.
E. Rahimian, S. Zabihi, S.F. Atashzar, A. Asif, and A. Mohammadi · 1911
Earlier work this paper cites.
UNIPEN Project of Online Data Exchange and Recognizer Benchmarks
I. Guyon, L. Schomaker, R. Plamondon, M. Liberman, and S. Janet · 1994
Earlier work this paper cites.
Combining Multiple Representations and Classifiers for Pen-based Handwritten Digit Recognition
E. Alpaydin · 1997
Earlier work this paper cites.
Long Short-Term Memory
S. Hochreiter and J. Schmidhuber · 1997
Earlier work this paper cites.
Ensemble Methods in Machine Learning
T. Dietterich · 2000
Earlier work this paper cites.
Framewise Phoneme Classification with Bidirectional LSTM Networks
A. Graves and J. Schmidhuber · 2005
Earlier work this paper cites.
Exact Indexing of Dynamic Time Warping
E. Keogh and C. Ratanamahatana · 2005
Earlier work this paper cites.
Extremely Randomized Trees
P. Geurts, D. Ernst, and L. Wehenkel · 2006
Earlier work this paper cites.
A Hybrid Fuzzy Weights-of-evidence Model for Mineral Potential Mapping
A. Porwal, E. Carranza, and M. Hale · 2006
Earlier work this paper cites.
A Practical Approach for Writer-Dependent Symbol Recognition Using a Writer-Independent Symbol Recognizer
J. LaViola and R. Zeleznik · 2007
Earlier work this paper cites.
Comparison of Times Series with Unequal Length in the Frequency Domain
J. Caiado, N. Crato, and D. Pena · 2009
Earlier work this paper cites.
XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification, 2020
K. Fauvel, T. Lin, V. Masson, È. Fromont, and A. Termier · 2009
Earlier work this paper cites.
Distance Metric Learning for Large Margin Nearest Neighbor Classification
K. Weinberger and L. Saul · 2009
Earlier work this paper cites.
Online Handwritten Signature Verification System based on DWT Features Extraction and Neural Network Classification
M. Fahmy · 2010
Earlier work this paper cites.
Turning bayesian model averaging into bayesian model combination
K. Monteith, J. Carroll, K. Seppi, and T. Martinez · 2011
Earlier work this paper cites.
Scikit-learn: Machine Learning in Python
F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay · 2011
Cited alongside, same era.
Classifiers Selection for Ensemble Learning based on Accuracy and Diversity
L. Yang · 2011
Cited alongside, same era.
An Accelerometer-based Digital Pen with a Trajectory Recognition Algorithm for Handwritten Digit and Gesture Recognition
J. Wang and F. Chuang · 2012
Cited alongside, same era.
Ensemble Methods: Foundations and Algorithms
Z. Zhou · 2012
Cited alongside, same era.
A Tutorial on Human Activity Recognition Using Body-worn Inertial Sensors
A. Bulling, U. Blanke, and B. Schiele · 2014
Cited alongside, same era.
On meta-learning for dynamic ensemble selection
R. Cruz, R. Sabourin, and G. Cavalcanti · 2014
Time Series Feature Extraction on Basis of Scalable Hypothesis Tests (tsfresh - A Python Package)
M. Christ, N. Braun, J. Neuffer, and A. W. Kempa-Liehr · 2018
Later among the works it cites.
LSTM Fully Convolutional Networks for Time Series Classification
F. Karim, S. Majumdar, H. Darabi, and S. Chen · 2018
Later among the works it cites.
Optuna: A Next-generation Hyperparameter Optimization Framework
T. Akiba, S. Sano, T. Yanase, T. Ohta, and M. Koyama · 2019
Later among the works it cites.
Multivariate LSTM-FCNs for Time Series Classification
F. Karim, S. Majumdar, H. Darabi, and S. Harford · 2019
Later among the works it cites.
Chapter 8 - Improving the Prediction Accuracy of Heart Disease with Ensemble Learning and Majority Voting Rule
K. Raza · 2019
Later among the works it cites.
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Later among the works it cites.
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Later among the works it cites.
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The OnHW Dataset: Online Handwriting Recognition from IMU-Enhanced Ballpoint Pens with Machine Learning
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ImpAcX_OnHW: Improving Accuracy and Explainability of Handwriting Recognition Models
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