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ORCIDNeurocomputing, Volume 268
Volume 268, December 2017
- Fabio Aiolli, Gaëlle Bonnet-Loosli, Romain Hérault
:
Advances in artificial neural networks, machine learning and computational intelligence. 1-3
- Luca Oneto, Nicolò Navarin, Michele Donini, Alessandro Sperduti, Fabio Aiolli, Davide Anguita:
Measuring the expressivity of graph kernels through Statistical Learning Theory. 4-16 - Mirko Polato, Fabio Aiolli:
Exploiting sparsity to build efficient kernel based collaborative filtering for top-N item recommendation. 17-26 - Rocco Langone, Johan A. K. Suykens:
Fast kernel spectral clustering. 27-33
- Alexander Schulz, Johannes Brinkrolf, Barbara Hammer:
Efficient kernelisation of discriminative dimensionality reduction. 34-41 - David Nebel, Marika Kaden, Andrea Villmann, Thomas Villmann:
Types of (dis-)similarities and adaptive mixtures thereof for improved classification learning. 42-54
- Witali Aswolinskiy, René Felix Reinhart, Jochen Jakob Steil:
Modelling of parametrized processes via regression in the model space of neural networks. 55-63 - Meriem El Azami, Carole Lartizien, Stéphane Canu:
Converting SVDD scores into probability estimates: Application to outlier detection. 64-75
- Eleni Tsironi, Pablo V. A. Barros, Cornelius Weber, Stefan Wermter:
An analysis of Convolutional Long Short-Term Memory Recurrent Neural Networks for gesture recognition. 76-86 - Claudio Gallicchio, Alessio Micheli, Luca Pedrelli:
Deep reservoir computing: A critical experimental analysis. 87-99
- Isaac Fernández-Varela, Elena Hernández-Pereira, Diego Álvarez-Estévez, Vicente Moret-Bonillo:
Combining machine learning models for the automatic detection of EEG arousals. 100-108 - Albert Pla, Natalia Mordvanyuk, Beatriz López, Marco Raaben, Taco J. Blokhuis, Herman R. Holtslag:
Bag-of-steps: Predicting lower-limb fracture rehabilitation length by weight loading analysis. 109-115
- Pantita Palittapongarnpim, Peter Wittek, Ehsan Zahedinejad, Shakib Vedaie, Barry C. Sanders:
Learning in quantum control: High-dimensional global optimization for noisy quantum dynamics. 116-126 - Raúl V. Casaña Eslava, Ian H. Jarman, Paulo J. G. Lisboa, José David Martín-Guerrero:
Quantum clustering in non-spherical data distributions: Finding a suitable number of clusters. 127-141
- Alban Laflaquière:
Grounding the experience of a visual field through sensorimotor contingencies. 142-152
- Cagatay Turkay, Aidan Slingsby, Kaisa Lahtinen, Sarah Butt, Jason Dykes:
Supporting theoretically-grounded model building in the social sciences through interactive visualisation. 153-163 - Dominik Sacha, Michael Sedlmair, Leishi Zhang, John Aldo Lee, Jaakko Peltonen, Daniel Weiskopf, Stephen C. North, Daniel A. Keim:
What you see is what you can change: Human-centered machine learning by interactive visualization. 164-175
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