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Publication search results
found 9 matches
- 2022
- Juris Rats, Inguna Pede:
Supporting Trainset Annotation for Text Classification of Incoming Enterprise Documents. DATA 2022: 211-218 - Geetika Tiwari, Ruchi Jain:
Detecting and Classifying Incoming Traffic in a Secure Cloud Computing Environment Using Machine Learning and Deep Learning System. SmartCloud 2022: 16-21 - 2021
- João Paulo Aires, Simone Bello Kaminski Aires
, Maria João Varanda Pereira
, Luís M. Alves
:
Active Methodologies in Incoming Programming Classes (Short Paper). ICPEC 2021: 8:1-8:9 - Georgi Petrov Dimitrov, Galina S. Panayotova, Eugenia Kovatcheva, Pavel Petrov, Magdalena Garvanova, Snejana Petrova, Inna Dimitrova, Olexiy Bychkov:
Decrease the time for classification of the incoming signals from BCI. SSPS 2021: 7-13 - 2020
- Yasser Ali Alshehri
:
Text mining for incoming tasks based on the urgency/importance factors and task classification using machine learning tools. ICCDA 2020: 183-189 - 2018
- Valerij Grasic, Andrej Kos, Biljana Mileva-Boshkoska
:
Classification of incoming calls for the capital city of Slovenia smart city 112 public safety system using open Internet of Things data. Int. J. Distributed Sens. Networks 14(9) (2018) - 2010
- Saichon Jaiyen, Chidchanok Lursinsap, Suphakant Phimoltares:
A very fast neural learning for classification using only new incoming datum. IEEE Trans. Neural Networks 21(3): 381-392 (2010) - 2006
- Suresh Kalathur:
An Object-Oriented Framework for Predicting Student Competency Level in an Incoming Class. Software Engineering Research and Practice 2006: 179-183 - 1994
- Vikram Subramaniam, Ivan Sykes, Henry M. Walker:
An Expert System to Place Incoming Students in Mathematics and Computer Science Classes. Comput. Sci. Educ. 5(2): 137-148 (1994)
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