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Università della Svizzera italiana

Leukocyte tracking database, a collection of immune cell tracks from intravital 2-photon microscopy videos

Pizzagalli, Diego Ulisse ; Farsakoglu, Yagmur ; Palomino-Segura, Miguel ; Palladino, Elisa ; Sintes, Jordi ; Marangoni, Francesco ; Mempel, Thorsten R. ; Koh, Wan Hon ; Murooka, Thomas T. ; Thelen, Flavian ; Stein, Jens V. ; Pozzi, Giuseppe ; Marcus Thelen ; Krause, Rolf ; Gonzalez, Santiago Fernandez

In: Scientific data, 2018, vol. 5, p. 180129

Recent advances in intravital video microscopy have allowed the visualization of leukocyte behavior in vivo, revealing unprecedented spatiotemporal dynamics of immune cell interaction. However, state-of-the-art software and methods for automatically measuring cell migration exhibit limitations in tracking the position of leukocytes over time. Challenges arise both from the complex migration...

Università della Svizzera italiana

New architectures for very deep learning

Srivastava, Rupesh Kumar ; Schmidhuber, Jürgen (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2018 ; 2018INFO006.

Artificial Neural Networks are increasingly being used in complex real- world applications because many-layered (i.e., deep) architectures can now be trained on large quantities of data. However, training even deeper, and therefore more powerful networks, has hit a barrier due to fundamental limitations in the design of existing networks. This thesis develops new architectures that, for the...

Consortium of Swiss Academic Libraries

Multi-scale support vector algorithms for hot spot detection and modelling

Pozdnoukhov, Alexei ; Kanevski, Mikhail

In: Stochastic Environmental Research and Risk Assessment, 2008, vol. 22, no. 5, p. 647-660

Consortium of Swiss Academic Libraries

Simple and efficient classification scheme based on specific vocabulary

Savoy, Jacques ; Zubaryeva, Olena

In: Computational Management Science, 2012, vol. 9, no. 3, p. 401-415

Consortium of Swiss Academic Libraries

Learning Generative Models for Multi-Activity Body Pose Estimation

Jaeggli, Tobias ; Koller-Meier, Esther ; Van Gool, Luc

In: International Journal of Computer Vision, 2009, vol. 83, no. 2, p. 121-134

Università della Svizzera italiana

Online disturbance prediction for enhanced availability in smart grids

Kaitovic, Igor ; Malek, Miroslaw (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2017 ; 2017INFO011.

A gradual move in the electric power industry towards Smart Grids brings new challenges to the system's efficiency and dependability. With a growing complexity and massive introduction of renewable generation, particularly at the distribution level, the number of faults and, consequently, disturbances (errors and failures) is expected to increase significantly. This threatens to compromise...

Università della Svizzera italiana

Towards adaptive and autonomous humanoid robots : from vision to actions

Leitner, Jürgen ; Schmidhuber, Jürgen (Dir.) ; Förster, Alexander (Codir.)

Thèse de doctorat : Università della Svizzera italiana, 2014 ; 2014INFO020.

Although robotics research has seen advances over the last decades robots are still not in widespread use outside industrial applications. Yet a range of proposed scenarios have robots working together, helping and coexisting with humans in daily life. In all these a clear need to deal with a more unstructured, changing environment arises. I herein present a system that aims to overcome the...

Università della Svizzera italiana

Advances in deep learning for vision, with applications to industrial inspection : classification, segmentation and morphological extensions

Masci, Jonathan ; Schmidhuber, Jürgen (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2014 ; 2014INFO001.

Learning features for object detection and recognition with deep learning has received increasing attention in the past several years and recently attained widespread popularity. In this PhD thesis we investigate its applications to the automatic surface inspection system of our industrial partner ArcelorMittal, for classification and segmentation problems. Currently employed algorithms, in...