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Université de Neuchâtel

Multimodal information retrieval

Geiger, Melanie ; Savoy, Jacques (Dir.) ; Braschler, Martin (Codir.)

Thèse de doctorat : Université de Neuchâtel, 2018.

Les processus basés sur le savoir, une des composantes essentielles de notre économie, requiert souvent un système multimodal de recherche d’information. De tels systèmes doivent traiter des collections de documents et des requêtes de plus en plus complexes. Cette complexité sous-jacente se situe dans le grand nombre et la diversité des modalités textuelles ou non-textuelles comme les...

Università della Svizzera italiana

ASQ : active learning with interactive web presentations and classroom analytics

Triglianos, Vasileios ; Pautasso, Cesare (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2018 ; 2018INFO013.

Today it is commonly accepted that the effectiveness of instructional technology, measured as improvement over the learning outcomes of students, is highly correlated with the learning environment, the applied pedagogies and the goals of the participants of the learning process. The often applied passive lecture model and the undirected use of modern technology such as student laptops and...

Université de Neuchâtel

Practical erasure codes for storage systems : the study of entanglement codes, an approach that propagates redundancy to increase reliability and performance

Estrada Galiñanes, Verónica del Carmen ; Felber, Pascal (Dir.)

Thèse de doctorat : Université de Neuchâtel, 2017.

Cette dissertation traite de la conception de codes d'effacement pratiques pour les systèmes de stockage. Les défaillances de disque physiques et logiques sont une source commune d'erreurs; cependant, il est prédit que les disques dur à plateaux vont rester le support de stockage standard dans les grands centres de données. Le stockage dans le cloud a besoin de codes efficaces pour devenir...

Università della Svizzera italiana

Time aware location recommendations in location based social networks

Mudda, Steven ; Giordano, Silvia (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2018 ; 2018INFO012.

Smartphones have fundamentally changed how people make choices about the products and services they consume and the way they interact with each other. The spread and extensive usage of mobile applications has led to the rise of Location-based Social Network (LBSN) services like Foursquare, Yelp etc, that aim to aim to provide new and novel places of interest to people based on their interests...

Università della Svizzera italiana

Path planning for mobile robots in the real world : handling multiple objectives, hierarchical structures and partial information

Guzzi, Jérôme ; Gambardella, Luca Maria (Dir.) ; Giusti, Alessandro (Codir.)

Thèse de doctorat : Università della Svizzera italiana, 2018 ; 2018INFO010.

Autonomous robots in real-world environments face a number of challenges even to accomplish apparently simple tasks like moving to a given location. We present four realistic scenarios in which robot navigation takes into account partial information, hierarchical structures, and multiple objectives. We start by discussing navigation in indoor environments shared with people, where routes are...

Università della Svizzera italiana

Efficient combinatorial optimization algorithms for logistic problems

Papapanagiotou, Vasileios ; Gambardella, Luca Maria (Dir.) ; Montemanni, Roberto (Codir.) ; Schmidhuber, Jürgen (Codir.)

Thèse de doctorat : Università della Svizzera italiana, 2018 ; 2018INFO011.

The field of logistics and combinatorial optimization features a wealth of NP-hard problems that are of great practical importance. For this reason it is important that we have efficient algorithms to provide optimal or near-optimal solutions. In this work, we study, compare and develop Sampling-Based Metaheuristics and Exact Methods for logistic problems that are important for their...

Università della Svizzera italiana

Efficient tree-based content-based routing schemes

Khazaei, Koorosh ; Carzaniga, Antonio (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2018 ; 2018INFO009.

This thesis is about routing and forwarding for inherently multicast communication such as the communication typical of information-centric networks. The notion of Information-Centric Networking (ICN) is an evolution of the Internet from the current host-centric architecture to a new architecture in which communication is based on “named information”. The ambitious goal of ICN is to...

Università della Svizzera italiana

Analysis and optimization of task granularity on the Java virtual machine

Rosà, Andrea ; Binder, Walter (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2018 ; 2018INFO008.

Task granularity, i.e., the amount of work performed by parallel tasks, is a key performance attribute of parallel applications. On the one hand, fine-grained tasks (i.e., small tasks carrying out few computations) may introduce considerable parallelization overheads. On the other hand, coarse-grained tasks (i.e., large tasks performing substantial computations) may not fully utilize the...

Università della Svizzera italiana

Reusing constraint proofs in symbolic analysis

Chen, Meixian ; Pezzè, Mauro (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2018 ; 2018INFO007.

Symbolic analysis is an important element of program verification and automatic testing. Symbolic analysis techniques abstract program properties as expressions of symbolic input values to characterise the program logical constraints, and rely on Satisfiability Modulo Theories (SMT) solvers to both validate the satisfiability of the constraint expression and verify the corresponding program...

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...