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Approximated Symbolic Computations over Hybrid Automata

Hybrid automata are a natural framework for modeling and analyzing systems which exhibit a mixed discrete continuous behaviour. However, the standard operational semantics defined over such models implicitly assume perfect knowledge of the real …

co-LP: Back to the Roots

Recently, several papers dealing with co-inductive logic programming h ave been proposed, dealing with pure Prolog and constraint logic programming, with and without negation. In this paper we revisit and use, as much as possible, some fundamental …

Contextual Lumpability

Quantitative analysis of computer systems is often based on Markovian models. Among the formalisms that are used in practice, Markovian process algebras have found many applications, also thanks to their compositional nature that allows one to …

CUD@ASP: Experimenting with GPUs in ASP solving

Encodings of Sets and Hypersets

We will present some results and open problems on an extension of the Ackermann encoding of Hereditarily Finite Sets into Natural Numbers. In particular, we will introduce and discuss a simple modification of the above mentioned Ackermann encoding, …

High-throughput trascriptome profiling of two peach chimeric genotypes

PolyMorph: A P300 Polymorphic Speller

P300 is an electric signal emitted by brain about 300 milliseconds after a rare, but relevant-for-the-user event. Even if it is hard to identify and it provides a low-rate communication channel, it can be used in cases in which other evoked …

Protein structure prediction on GPU: A declarative approach in a multi-Agent framework

This paper provides a novel perspective in the Protein Structure Prediction (PSP) problem. The PSP problem focuses on determining putative 3D structures of a protein starting from its primary sequence. The proposed approach relies on a multi-agents …

pyHybrid Analysis: A Package for Semantics Analysis of Hybrid Systems2013 Euromicro Conference on Digital System Design

A Filtering Technique for Fragment Assembly-based Proteins Loop Modeling with Constraints.

Methods to predict the structure of a protein often rely on the knowledge of macro sub-structures and their exact or approximated relative positions in space. The parts connecting these sub-structures are called loops and, in general, they are …