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Publicationer information ikon
A Bernoulli autoregressive
moving
average
model
applied to rainfall occurrence
Referentgranskad
DOI
10.1080/03610918.2018.1468453
Milani, Eder Angelo; Hartmann, Marcelo; Andrade, Marinho G.; Ribeiro Diniz, Carlos Alberto
Communications in Statistics: Simulation and Computation
2019
Publicationer information ikon
Graph
Neural Network Sensitivity Under Probabilistic Error
Model
Referentgranskad
Öppen tillgång
Wang, Xinjue; Ollila, Esa; Vorobyov, Sergiy A.
European Signal Processing Conference
2022
Publicationer information ikon
Maze
model
to study spatial learning and memory in freely
moving
monkeys
Referentgranskad
Zhang, Bo; Tan, H.; Sun, N.L.; Wang, J.H.; Meng, Z.Q.; Li, C.Y.; Fraser, W.A.; Hu, X.T.; Carlson, Sy...
Journal of Neuroscience Methods
2008
Publicationer information ikon
Moving
Target Selection A Cue Integration
Model
Referentgranskad
Öppen tillgång
DOI
10.1145/3173574.3173804
Lee, Byungjoo; Kim, Sunjun; Oulasvirta, Antti; Lee, Jong-In; Park, Eunji
ACM SIGCHI annual conference on human factors in computing systems
2018
Publicationer information ikon
Graph
Convolutional Neural Networks Sensitivity under Probabilistic Error
Model
Referentgranskad
Öppen tillgång
DOI
10.1109/TSIPN.2024.3485532
Wang, Xinjue; Ollila, Esa; Vorobyov, Sergiy A.
IEEE Transactions on Signal and Information Processing over Networks
2024
Publicationer information ikon
On the power-law random
graph
model
of massive data networks
Referentgranskad
DOI
10.1016/S0166-5316(03)00097-X
Reittu, Hannu; Norros, Ilkka
Performance Evaluation
2004
Publicationer information ikon
Correlation-based
Graph
Smoothness Measures In
Graph
Signal Processing
Referentgranskad
Öppen tillgång
DOI
10.23919/EUSIPCO58844.2023.10289784
Miettinen, Jari; Vorobyov, Sergiy A.; Ollila, Esa; Wang, Xinjue
European Signal Processing Conference
2023
Publicationer information ikon
Graph
Visualization With Latent Variable
Model
s
Nybo, Kristian; Parkkinen, Juuso; Kaski, Samuel
-
2009
Publicationer information ikon
Graph
Convolutional Networks for
Model
-Based Learning in Nonlinear Inverse Problems
Referentgranskad
Öppen tillgång
DOI
10.1109/TCI.2021.3132190
Herzberg, William; Rowe, Daniel; Hauptmann, Andreas; Hamilton, Sarah
IEEE Transactions on computational imaging
2021
Publicationer information ikon
Graph
Signal Processing Meets Blind Source Separation
Referentgranskad
Öppen tillgång
DOI
10.1109/TSP.2021.3073226
Miettinen, Jari; Nitzan, Eyal; Vorobyov, Sergiy A.; Ollila, Esa
IEEE Transactions on Signal Processing
2021
A Bernoulli autoregressive
moving
average
model
applied to rainfall occurrence
Referentgranskad
DOI
10.1080/03610918.2018.1468453
2019
Graph
Neural Network Sensitivity Under Probabilistic Error
Model
Referentgranskad
Öppen tillgång
2022
Maze
model
to study spatial learning and memory in freely
moving
monkeys
Referentgranskad
2008
Moving
Target Selection A Cue Integration
Model
Referentgranskad
Öppen tillgång
DOI
10.1145/3173574.3173804
2018
Graph
Convolutional Neural Networks Sensitivity under Probabilistic Error
Model
Referentgranskad
Öppen tillgång
DOI
10.1109/TSIPN.2024.3485532
2024
On the power-law random
graph
model
of massive data networks
Referentgranskad
DOI
10.1016/S0166-5316(03)00097-X
2004
Correlation-based
Graph
Smoothness Measures In
Graph
Signal Processing
Referentgranskad
Öppen tillgång
DOI
10.23919/EUSIPCO58844.2023.10289784
2023
Graph
Visualization With Latent Variable
Model
s
2009
Graph
Convolutional Networks for
Model
-Based Learning in Nonlinear Inverse Problems
Referentgranskad
Öppen tillgång
DOI
10.1109/TCI.2021.3132190
2021
Graph
Signal Processing Meets Blind Source Separation
Referentgranskad
Öppen tillgång
DOI
10.1109/TSP.2021.3073226
2021
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