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Publication search results
found 18 matches
- 2019
- Tayfun Alpay, Fares Abawi, Stefan Wermter:
Preserving activations in recurrent neural networks based on surprisal. Neurocomputing 342: 75-82 (2019) - Miguel Angrick, Christian Herff, Garett D. Johnson, Jerry J. Shih, Dean J. Krusienski, Tanja Schultz:
Interpretation of convolutional neural networks for speech spectrogram regression from intracranial recordings. Neurocomputing 342: 145-151 (2019) - Davide Bacciu, Daniele Castellana:
Bayesian mixtures of Hidden Tree Markov Models for structured data clustering. Neurocomputing 342: 49-59 (2019) - Johannes Brinkrolf, Christina Göpfert, Barbara Hammer:
Differential privacy for learning vector quantization. Neurocomputing 342: 125-136 (2019) - Josef Feigl, Martin Bogdan:
Neural networks for personalized item rankings. Neurocomputing 342: 60-65 (2019) - Stefan Heinrich, Peer Springstübe, Tobias Knöppler, Matthias Kerzel, Stefan Wermter:
Continuous convolutional object tracking in developmental robot scenarios. Neurocomputing 342: 137-144 (2019) - Tommi Kärkkäinen:
Extreme minimal learning machine: Ridge regression with distance-based basis. Neurocomputing 342: 33-48 (2019) - Rebecca Marion, Adrien Bibal, Benoît Frénay:
BIR: A method for selecting the best interpretable multidimensional scaling rotation using external variables. Neurocomputing 342: 83-96 (2019) - Mohammad Mohammadi, Nicolai Petkov, Kerstin Bunte, Reynier F. Peletier, Frank-Michael Schleif:
Globular cluster detection in the GAIA survey. Neurocomputing 342: 164-171 (2019) - Khadija Musayeva, Fabien Lauer, Yann Guermeur:
Rademacher complexity and generalization performance of multi-category margin classifiers. Neurocomputing 342: 6-15 (2019) - Aleke Nolte, Lingyu Wang, Maciej Bilicki, Benne Holwerda, Michael Biehl:
Galaxy classification: A machine learning analysis of GAMA catalogue data. Neurocomputing 342: 172-190 (2019) - Luca Oneto, Kerstin Bunte, Frank-Michael Schleif:
Advances in artificial neural networks, machine learning and computational intelligence: Selected papers from the 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018). Neurocomputing 342: 1-5 (2019) - Luca Oneto, Sandro Ridella, Davide Anguita:
Local Rademacher Complexity Machine. Neurocomputing 342: 24-32 (2019) - Mirko Polato, Fabio Aiolli:
Boolean kernels for rule based interpretation of support vector machines. Neurocomputing 342: 113-124 (2019) - Joseph Rynkiewicz:
Asymptotic statistics for multilayer perceptron with ReLU hidden units. Neurocomputing 342: 16-23 (2019) - Borja Seijo-Pardo, Amparo Alonso-Betanzos, Kristin P. Bennett, Verónica Bolón-Canedo, Julie Josse, Mehreen Saeed, Isabelle Guyon:
Biases in feature selection with missing data. Neurocomputing 342: 97-112 (2019) - Niall Twomey, Haoyan Chen, Tom Diethe, Peter A. Flach:
An application of hierarchical Gaussian processes to the detection of anomalies in star light curves. Neurocomputing 342: 152-163 (2019) - Jan M. Wülfing, Sreedhar S. Kumar, Joschka Boedecker, Martin A. Riedmiller, Ulrich Egert:
Adaptive long-term control of biological neural networks with Deep Reinforcement Learning. Neurocomputing 342: 66-74 (2019)
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