Hub-Betweenness Analysis in Delay Tolerant Networks Inferred by Real Traces (2010)
Grossi, Giuliano, Pedersini, Federico
Abstract—In this paper we study the influence of using hub nodes to relay messages in human-based delay tolerant networks (DTNs), by analyzing empirical traces obtained by human mobility monitoring...
Hub-Betweenness Analysis in Delay Tolerant Networks Inferred by Real Traces (2010)
Grossi, Giuliano, Pedersini, Federico
Abstract—In this paper we study the influence of using hub nodes to relay messages in human-based delay tolerant networks (DTNs), by analyzing empirical traces obtained by human mobility monitoring...
Grossi, Giuliano, Marchi, Massimo, Pontelli, Enrico, Provetti, Alessandro
This article presents a distributed version of the adjSolver algorithm for computing the answer sets of logic programs. adjSolver operates a classical branch-and-bound structure; its intrinsic...
FPGA Implementation of a Stochastic Neural Network for Monotonic Pseudo-Boolean Optimization (2008)
PEDERSINI, FEDERICO, GROSSI, GIULIANO, G. Grossi, F. Pedersini
FPGA Implementation of a Stochastic Neural Network for Monotonic Pseudo-Boolean Optimization / G. Grossi, F. Pedersini. - In: Neural Networks. - ISSN 0893-6080. - 21:6(2008 Aug). - p. 872-879.
FPGA Implementation of a Stochastic Neural Network for Monotonic Pseudo-Boolean Optimization (2008)
PEDERSINI, FEDERICO, GROSSI, GIULIANO, G. Grossi, F. Pedersini
FPGA Implementation of a Stochastic Neural Network for Monotonic Pseudo-Boolean Optimization / G. Grossi, F. Pedersini. - In: Neural Networks. - ISSN 0893-6080. - 21:6(2008 Aug). - p. 872-879.
FPGA Implementation of a Stochastic Neural Network for Monotonic Pseudo-Boolean Optimization (2008)
PEDERSINI, FEDERICO, GROSSI, GIULIANO
In this paper a FPGA implementation of a novel neural stochastic model for solving constrained NP-hard problems is proposed and developed. The model exploits pseudo-Boolean functions both to express...
Giuliano Grossi, Massimo Marchi
This paper presents some preliminary results obtained in the development of a new branch-and-bound algorithm for Answer Set Programming. We exploit the intrinsic parallelism of branch-and-bound to...
A New Algorithm for Answer Set Computation (2008)
Giuliano Grossi, Massimo Marchi
Abstract. A new exact algorithm for computing answer sets of logic programs is presented and analyzed. The algorithm takes a logic program in Kernel normal form as an input and computes its answer...
A two-level social mobility model for trace generation (2008)
GROSSI, GIULIANO, PEDERSINI, FEDERICO, GAITO, SABRINA TIZIANA, S. Gaito, G. Grossi, F. Pedersini
A two-level social mobility model for trace generation / S. Gaito, G. Grossi, F. Pedersini. - In: Proceedings of the Ninth ACM International Symposium on Mobile Ad Hoc Networking and Computing :...
GROSSI, GIULIANO, G. Grossi, M. Marchi, E. Pontelli, A.Provetti
Experimental Analysis of Graph-based Answer Set Computation over Parallel and Distributed Architectures / G. Grossi, M. Marchi, E. Pontelli, A.Provetti. - In: Journal of logic and computation. - ISSN...
This article presents a distributed version of the ADJSOLVER algorithm for computing the answer sets of logic programs. adjSolver operates a classical branch-and-bound structure; its intrinsic...
A two-level social mobility model for trace generation (2008)
GROSSI, GIULIANO, PEDERSINI, FEDERICO, GAITO, SABRINA TIZIANA
We propose a synthetic trace generator that, although based on a simple mobility model, generates traces with statistical properties (like inter-contact time and contact duration) resembling those of...
This article presents a distributed version of the ADJSOLVER algorithm for computing the answer sets of logic programs. adjSolver operates a classical branch-and-bound structure; its intrinsic...
A two-level social mobility model for trace generation (2008)
GROSSI, GIULIANO, PEDERSINI, FEDERICO, GAITO, SABRINA TIZIANA
We propose a synthetic trace generator that, although based on a simple mobility model, generates traces with statistical properties (like inter-contact time and contact duration) resembling those of...
Experimental validation of a 2-level social mobility model in opportunistic networks (2008)
GAITO, SABRINA TIZIANA, GROSSI, GIULIANO, PEDERSINI, FEDERICO, ROSSI, GIAN PAOLO
The aim of this paper is to validate a synthetic trace generator by means of a local campus experiment based on opportunistic networking. We employed pocket trace recorder (PTR) devices in order to...
FPGA Implementation of an Adaptive Stochastic Neural Model (2007)
GROSSI, GIULIANO, PEDERSINI, FEDERICO, G. Grossi, F. Pedersini, J.Marques De Sá, L. A. Alexandre, W. Duch, D. P. Mandic
FPGA Implementation of an Adaptive Stochastic Neural Model / G. Grossi, F. Pedersini. - (Lecture Notes in Computer Science ; 4668). - In: Artificial Neural Networks – ICANN 2007 : 17th...
Speeding up FastICA by Mixture Random Pruning (2007)
GROSSI, GIULIANO, GAITO, SABRINA TIZIANA, S. Gaito, G. Grossi, M. E. Davies, C. J. James, S. A. Abdallah, M. D. Plumbley
Speeding up FastICA by Mixture Random Pruning / S. Gaito, G. Grossi. - (Lecture Notes in Computer Science ; 4666). - In: Independent Component Analysis and Signal Separation : 7th International...
Extending Mixture Random Pruning to Nonpolynomial Contrast Functions in FastICA (2007)
GROSSI, GIULIANO, GAITO, SABRINA TIZIANA, S. Gaito, G. Grossi
Extending Mixture Random Pruning to Nonpolynomial Contrast Functions in FastICA / S. Gaito, G. Grossi. - In: ISSPIT 2007 : 2007 IEEE Internatilonal Symposium on Signal Processiing and Information...
FPGA Implementation of an Adaptive Stochastic Neural Model (2007)
GROSSI, GIULIANO, PEDERSINI, FEDERICO, G. Grossi, F. Pedersini, J.Marques De Sá, L. A. Alexandre, W. Duch, D. P. Mandic
FPGA Implementation of an Adaptive Stochastic Neural Model / G. Grossi, F. Pedersini. - (Lecture Notes in Computer Science ; 4668). - In: Artificial Neural Networks – ICANN 2007 : 17th...
Speeding up FastICA by Mixture Random Pruning (2007)
GROSSI, GIULIANO, GAITO, SABRINA TIZIANA, S. Gaito, G. Grossi, M. E. Davies, C. J. James, S. A. Abdallah, M. D. Plumbley
Speeding up FastICA by Mixture Random Pruning / S. Gaito, G. Grossi. - (Lecture Notes in Computer Science ; 4666). - In: Independent Component Analysis and Signal Separation : 7th International...
Extending Mixture Random Pruning to Nonpolynomial Contrast Functions in FastICA (2007)
GROSSI, GIULIANO, GAITO, SABRINA TIZIANA, S. Gaito, G. Grossi
Extending Mixture Random Pruning to Nonpolynomial Contrast Functions in FastICA / S. Gaito, G. Grossi. - In: ISSPIT 2007 : 2007 IEEE Internatilonal Symposium on Signal Processiing and Information...
FPGA Implementation of an Adaptive Stochastic Neural Model (2007)
GROSSI, GIULIANO, PEDERSINI, FEDERICO
In this paper a FPGA implementation of a novel neural stochastic model for solving constrained NP-hard problems is proposed and developed. The hardware implementation allows to obtain high...
Speeding up FastICA by Mixture Random Pruning (2007)
GROSSI, GIULIANO, GAITO, SABRINA TIZIANA
We study and derive a method to speed up kurtosis-based FastICA in presence of information redundancy, i.e., for large samples. It consists in randomly decimating the data set as more as possible...
Extending Mixture Random Pruning to Nonpolynomial Contrast Functions in FastICA (2007)
GROSSI, GIULIANO, GAITO, SABRINA TIZIANA
We extend to more general contrast functions a method to speed up kurtosis-based FastICA in presence of information redundancy, i.e., for large samples. It consists in randomly decimating the data...
A discrete adaptive stochastic neural model for constrained optimization (2006)
GROSSI, GIULIANO, G. GROSSI, S. Kollias, A. Stafylopatis, W. Duch, E. Oja
A discrete adaptive stochastic neural model for constrained optimization / G. GROSSI. - (Lecture Notes in Computer Science ; 4131). - In: Artificial Neural Networks – ICANN 2006 ; S. Kollias, A....
Random Projections for Dimensionality Reduction in ICA (2006)
GROSSI, GIULIANO, GAITO, SABRINA TIZIANA, Sabrina Gaito, Andrea Greppi, Giuliano Grossi
Random Projections for Dimensionality Reduction in ICA / Sabrina Gaito, Andrea Greppi, Giuliano Grossi. - In: International Journal of Applied Science, Engineering and Technology. - ISSN 1307-4318. -...
Solving maximum independent set by asynchronous distributed hopfield-type neural networks (2006)
GROSSI, GIULIANO, Giuliano Grossi, Massimo Marchi, Roberto Posenato
Solving maximum independent set by asynchronous distributed hopfield-type neural networks / Giuliano Grossi, Massimo Marchi, Roberto Posenato. - In: Theoretical Informatics and Applications =...
A discrete adaptive stochastic neural model for constrained optimization (2006)
GROSSI, GIULIANO, G. Grossi, S. Kollias, A. Stafylopatis, W. Duch, E. Oja
A discrete adaptive stochastic neural model for constrained optimization / G. GROSSI. - (Lecture Notes in Computer Science ; 4131). - In: Artificial Neural Networks – ICANN 2006 ; S. Kollias, A....
Random Projections for Dimensionality Reduction in ICA (2006)
GROSSI, GIULIANO, GAITO, SABRINA TIZIANA, Sabrina Gaito, Andrea Greppi, Giuliano Grossi
Random Projections for Dimensionality Reduction in ICA / Sabrina Gaito, Andrea Greppi, Giuliano Grossi. - In: International Journal of Applied Science, Engineering and Technology. - ISSN 1307-4318. -...
Solving maximum independent set by asynchronous distributed hopfield-type neural networks (2006)
GROSSI, GIULIANO, Giuliano Grossi, Massimo Marchi, Roberto Posenato
Solving maximum independent set by asynchronous distributed hopfield-type neural networks / Giuliano Grossi, Massimo Marchi, Roberto Posenato. - In: Theoretical Informatics and Applications =...
A discrete adaptive stochastic neural model for constrained optimization (2006)
The ability to map and solve combinatorial optimization problems with constraints on neural networks has frequently motivated a proposal for using such a model of computation. We introduce a new...
Random Projections for Dimensionality Reduction in ICA (2006)
GROSSI, GIULIANO, GAITO, SABRINA TIZIANA
In this paper we present a technique to speed up ICA based on the idea of reducing the dimensionality of the data set preserving the quality of the results. In particular we refer to FastICA...
A Stochastic Neural Model for Graph Problems: Software and Hardware Implementation (2005)
GROSSI, GIULIANO, PEDERSINI, FEDERICO, Giuliano Grossi, Federico Pedersini, China Neural Networks Council (CNNC) ; IEEE Computational Intelligence Society Beijing Chapter, Mingsheng Zhao, Zhongzhi Shi
A Stochastic Neural Model for Graph Problems: Software and Hardware Implementation / Giuliano Grossi, Federico Pedersini. - In: Proceedings of 2005 International Conference on Neural Networks and...
A Stochastic Neural Model for Graph Problems: Software and Hardware Implementation (2005)
GROSSI, GIULIANO, PEDERSINI, FEDERICO, Giuliano Grossi, Federico Pedersini, China Neural Networks Council (CNNC) ; IEEE Computational Intelligence Society Beijing Chapter, Mingsheng Zhao, Zhongzhi Shi
A Stochastic Neural Model for Graph Problems: Software and Hardware Implementation / Giuliano Grossi, Federico Pedersini. - In: Proceedings of 2005 International Conference on Neural Networks and...
A Stochastic Neural Model for Graph Problems: Software and Hardware Implementation (2005)
GROSSI, GIULIANO, PEDERSINI, FEDERICO
This article describes a novel neural stochastic model for solving graph problems. The neural system has been tested on random graphs, showing better performance than other well-known heuristics for...
A New Algorithm for Answer Set Computation (2005)
GROSSI, GIULIANO, MARCHI, MASSIMO, Giuliano Grossi, Massimo Marchi, Marina De Vos, Alessandro Provetti
A New Algorithm for Answer Set Computation / Giuliano Grossi, Massimo Marchi. - (Workshop proceedings ; 142). - In: Answer Set Programming, Advances in Theory and Implementation : Proceedings of the...
A New Algorithm for Answer Set Computation (2005)
GROSSI, GIULIANO, MARCHI, MASSIMO, Giuliano Grossi, Massimo Marchi, Marina De Vos, Alessandro Provetti
A New Algorithm for Answer Set Computation / Giuliano Grossi, Massimo Marchi. - (Workshop proceedings ; 142). - In: Answer Set Programming, Advances in Theory and Implementation : Proceedings of the...