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19992026
most citedCombined Measurement of the Higgs Boson Mass in Collisions at and 8 TeV with the ATLAS and CMS Experiments

1.4k citations

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10 papers · 1 filter

cs.AI2025

A framework for Conditional Reasoning in Answer Set Programming

Mario Alviano, Laura Giordano, Daniele Theseider Dupré

In this paper we introduce a Conditional Answer Set Programming framework (Conditional ASP) for the definition of conditional extensions of Answer Set Programming (ASP). The approa…

cs.AI2021★ 3 cited

Weighted Conditional EL{^}bot Knowledge Bases with Integer Weights: an ASP Approach

Laura Giordano, Daniele Theseider Dupré

Weighted knowledge bases for description logics with typicality have been recently considered under a "concept-wise" multipreference semantics (in both the two-valued and fuzzy cas…

cs.AI2021

Reasoning about actions with EL ontologies with temporal answer sets

Laura Giordano, Alberto Martelli, Daniele Theseider Dupré

We propose an approach based on Answer Set Programming for reasoning about actions with domain descriptions including ontological knowledge, expressed in the lightweight descriptio…

cs.AI2021★ 11 cited

A conditional, a fuzzy and a probabilistic interpretation of self-organising maps

Laura Giordano, Valentina Gliozzi, Daniele Theseider Dupré

In this paper we establish a link between fuzzy and preferential semantics for description logics and Self-Organising Maps, which have been proposed as possible candidates to expla…

cs.AI2018★ 7 cited

Defeasible Reasoning in SROEL: from Rational Entailment to Rational Closure

Laura Giordano, Daniele Theseider Dupré

In this work we study a rational extension of the low complexity description logic SROEL, which underlies the OWL EL ontology language. The extension involves a typical…

cs.AI2014★ 13 cited

Rational Closure in SHIQ

Laura Giordano, Valentina Gliozzi, Nicola Olivetti +1

We define a notion of rational closure for the logic SHIQ, which does not enjoys the finite model property, building on the notion of rational closure introduced by Lehmann and Mag…

cs.AI2013★ 41 cited

Bayesian Networks for Dependability Analysis: an Application to Digital Control Reliability

Luigi Portinale, Andrea Bobbio

Bayesian Networks (BN) provide robust probabilistic methods of reasoning under uncertainty, but despite their formal grounds are strictly based on the notion of conditional depende…

cs.AI2012★ 6 cited

Parametric Dependability Analysis through Probabilistic Horn Abduction

Andrea Bobbio, Stefania Montani, Luigi Portinale

Dependability modeling and evaluation is aimed at investigating that a system performs its function correctly in time. A usual way to achieve a high reliability, is to design redun…

cs.AI2011★ 38 cited

Temporal Decision Trees: Model-based Diagnosis of Dynamic Systems On-Board

L. Console, C. Picardi, D. Theseider Duprè

The automatic generation of decision trees based on off-line reasoning on models of a domain is a reasonable compromise between the advantages of using a model-based approach in te…

cs.AI2000★ 4 cited

Abductive and Consistency-Based Diagnosis Revisited: a Modeling Perspective

Daniele Theseider Dupre'

Diagnostic reasoning has been characterized logically as consistency-based reasoning or abductive reasoning. Previous analyses in the literature have shown, on the one hand, that c…