G. Amati

Publication List Details

Period

1996 - 2007

Number

21

Co-Authors

1 AN INFORMATION RETRIEVAL LOGIC MODEL: IMPLEMENTATION AND EXPERIMENTS (2007)

G. Amati, S. Kerpedjiev

Abstract Two methods defining a logic model for Information Retrieval are introduced. The first one is based on the conditional logic as suggested by van Rijsbergen, while the second is based on the...

Terrier information retrieval platform (2005)

Ounis, I., Amati, G., Plachouras, V., He, B., Macdonald, C., Johnson, D.

Terrier is a modular platform for the rapid development of large-scale Information Retrieval (IR) applications. It can index various document collections, including TREC and Web collections. Terrier...

Scaling and hydrodynamic effects in lamellar ordering (2004)

Xu, Aiguo, Gonnella, G., Lamura, A., Amati, G., Massaioli, F.

We study the kinetics of domain growth of fluid mixtures quenched from a disordered to a lamellar phase. At low viscosities, in two dimensions, when hydrodynamic modes become important, dynamical...

Probabilistic models of information retrieval based on measuring the divergence from randomness (2002)

Amati, G., Van Rijsbergen, C.J.

We introduce and create a framework for deriving probabilistic models of Information Retrieval. The models are nonparametric models of IR obtained in the language model approach. We derive...

Scaling laws and intermittency in homogeneous shear flow (2000)

Gualtieri, P., Casciola, C. M, Benzi, R., Amati, G., Piva, R.

In this paper we discuss the dynamical features of intermittent fluctuations in homogeneous shear flow turbulence. In this flow the energy cascade is strongly modified by the production of turbulent...

Probabilistic learning for selective dissemination of information (1999)

Amati, G., Crestani, F.

New methods and new systems are needed to filter or to selectively distribute the increasing volume of electronic information being produced nowadays. An effective information filtering system is one...

Probabilistic learning for selective dissemination of information (1999)

Amati, G., Crestani, F.

New methods and new systems are needed to filter or to selectively distribute the increasing volume of electronic information being produced nowadays. An effective information filtering system is one...

Probabilistic learning for selective dissemination of information (1999)

Amati, G., Crestani, F.

New methods and new systems are needed to filter or to selectively distribute the increasing volume of electronic information being produced nowadays. An effective information filtering system is one...

A logical approach to query reformulation motivated from belief change (1999)

G. Amati, P. D. Bruza

Abstract. This article attempts to draw parallels between query reformulation and the theory of belief change. We argue that query expansion and query revision can be explained in terms of the...

A Logical approach to Query Reformulation motivated from Belief Change (1999)

G. Amati, P. D. Bruza

. This article attempts to draw parallels between query reformulation and the theory of belief change. We argue that query expansion and query revision can be explained in terms of the revision of...

Intermittency and scaling laws for wall bounded turbulence (1998)

Benzi, R., Amati, G., Casciola, C. M., Toschi, F., Piva, R.

Well defined scaling laws clearly appear in wall bounded turbulence, even very close to the wall, where a distinct violation of the refined Kolmogorov similarity hypothesis (RKSH) occurs together...

Intermittency and structure functions in channel flow turbulence (1998)

Toschi, F., Amati, G., Succi, S., Benzi, R., Piva, R.

We present a study of intermittency in a turbulent channel flow. Scaling exponents of longitudinal streamwise structure functions, $\zeta_p /\zeta_3$, are used as quantitative indicators of...

Essential Bacillus subtilis genes

Kobayashi, K., Ehrlich, S. D., Albertini, A., Amati, G., Andersen, K. K., Arnaud, M., ...

To estimate the minimal gene set required to sustain bacterial life in nutritious conditions, we carried out a systematic inactivation of Bacillus subtilis genes. Among ≈4,100 genes of the...

Essential Bacillus subtilis genes

Kobayashi, K., Ehrlich, S. D., Albertini, A., Amati, G., Andersen, K. K., Arnaud, M., ...

To estimate the minimal gene set required to sustain bacterial life in nutritious conditions, we carried out a systematic inactivation of Bacillus subtilis genes. Among ≈4,100 genes of the...

Probabilistic models of information retrieval based on measuring the divergence from randomness

Amati, G., Van Rijsbergen, C.J.

We introduce and create a framework for deriving probabilistic models of Information Retrieval. The models are nonparametric models of IR obtained in the language model approach. We derive...

Terrier information retrieval platform

Ounis, I., Amati, G., Plachouras, V., He, B., Macdonald, C., Johnson, D.

Terrier is a modular platform for the rapid development of large-scale Information Retrieval (IR) applications. It can index various document collections, including TREC and Web collections. Terrier...

Terrier information retrieval platform

Ounis, I., Amati, G., Plachouras, V., He, B., Macdonald, C., Johnson, D.

Terrier is a modular platform for the rapid development of large-scale Information Retrieval (IR) applications. It can index various document collections, including TREC and Web collections. Terrier...

Probabilistic models of information retrieval based on measuring the divergence from randomness

Amati, G., Van Rijsbergen, C.J.

We introduce and create a framework for deriving probabilistic models of Information Retrieval. The models are nonparametric models of IR obtained in the language model approach. We derive...