Gabriel Tolosa

Dr. Gabriel Tolosa

orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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11 March 2017 in Information Retrieval Journal
Verified
Journal Article
Closed access
PDF file
GTGabriel Tolosa
Gabriel Tolosa
EFEsteban Feuerstein
Esteban Feuerstein
LBLuca Becchetti
Luca Becchetti
AMAlberto Marchetti-Spaccamela
Alberto Marchetti-Spaccamela

14 July 2023 in Hipertextos
Verified
Journal Article
Open access
PDF file
FBFernando Bordignon
Fernando Bordignon
LDLucila Dughera
Lucila Dughera
GTGabriel Tolosa
Gabriel Tolosa
Las líneas que siguen abordan la inteligencia artificial generativa desde tres dimensiones. La primera refiere a los discursos en torno a esta; en particular, al tratamiento dado a este fenómeno. La segunda consiste en advertir los actores, principalmente económicos, presentes, junto con las nuevas configuraciones que hay detrás. Por último, la tercera, describe algunas de las fallas que la inteligencia artificial generativa conlleva. En suma, en este artículo de debate la invitación es a rumiar algunas de los interrogantes aquí propuestos y, al mismo tiempo, a hilar otras preguntas sobre esta “nueva cosa”.

30 March 2023 in Information Processing & Management
Verified
Journal Article
Closed access
GTGabriel Tolosa
Gabriel Tolosa
AMAntonio Mallia
Antonio Mallia

25 September 2023 in ARPHA Preprints
Verified
Preprint
Open access
PDF file
MSMaría Cynthia Valeria Sanabria
María Cynthia Valeria Sanabria
VVVíctor Velazco
Víctor Velazco
GTGabriel Tolosa
Gabriel Tolosa
LFLiliana Falco
Liliana Falco
CCCarlos Coviella
Carlos Coviella
Soils have been studied and classified in terms of their physical and chemical characteristics, while the knowledge about biodiversity and the ecosystem processes that they support is lagging behind. Furthermore, the advance in scientific knowledge contributed by different researchers is dispersed and it is necessary to collect it to bring the big picture into focus. Today it is possible to have the findings and data collected by different researchers, compile them and, based on technological advances, have tools that allow the information to be analyzed in its entirety. The main objective of this work is to compile and systematize all the bibliographic information available on the main organisms that make up biodiversity in the soil: Acari, Collembola and Crassiclitellata in Argentina. A second objective is to link the composition and structure of the soil community with processes and flows in the ecosystem, and to estimate them at different scales and in soils with different anthropic impact. The database presented here gathers presence information on the mentioned taxa, their geographical location for the entire country, while preserving the identity and authorship of each scientific work retrieved. The taxonomic range of the organisms of the edaphic biota collected in this database ranges from class to subspecies, and are registered based on the taxonomic level reported by the original author in their research. The publications were obtained from Google Scholar, Scopus and JSTOR. In addition, records were added from INEDES theses, library searches, information requested from authors cited in other articles and unpublished works. In total, information was collected from 224 scientific publications, as well as personal information requested directly to some authors. The total number of registered individuals so far is 4838 of which 3049 specimens correspond to Acari, 944 to Classiclitellata and 845 belong to Collembola. This work is the first to gather, in a single publication, the entire dataset for all the Acari, Collembola, and Clitellata recorded for Argentina.

1 January 2012
Verified
Book Chapter
Open access
PDF file
EFEsteban Feuerstein
Esteban Feuerstein
Veronica Gil-CostaVeronica Gil-Costa
Veronica Gil-Costa
MMMauricio Marin
Mauricio Marin
GTGabriel Tolosa
Gabriel Tolosa
RBRicardo Baeza-Yates
Ricardo Baeza-Yates
Web search engines achieve efficient performance by partitioning and replicating the indexing data structure used to support query processing. Current practice simply partitions and replicates the text collection on the set of cluster processors and then constructs in each processor an index data structure. This paper proposes a different approach by constructing an index data structure that properly considers the fact that data is partitioned and replicated. This leads to a so-called 3D indexing strategy that outperforms current approaches. Performance is further boosted by introducing an application caching scheme devised to hold most frequently issued queries.

25 October 2023 in Biodiversity Data Journal
Verified
Journal Article
Open access
PDF file
MSMaría Sanabria
María Sanabria
VVVíctor Velazco
Víctor Velazco
GTGabriel Tolosa
Gabriel Tolosa
LFLiliana Falco
Liliana Falco
CCCarlos Coviella
Carlos Coviella
Soils have been studied and classified in terms of their physical and chemical characteristics, while the knowledge about biodiversity and the ecosystem processes that they support is lagging behind. Furthermore, the advance in scientific knowledge contributed by different researchers is dispersed and it is necessary to collect it to bring the big picture into focus. Today, it is possible to have the findings and data collected by different researchers, compile them and, based on technological advances, have tools that allow the information to be analysed in its entirety. The main objective of this work is to compile and systematise all the bibliographic information available on the main organisms that make up biodiversity in the soil: Acari, Collembola and Crassiclitellata in Argentina. This information will then allow us to link the composition and structure of the soil community with processes and flows in the ecosystem, and to estimate them at different scales and in soils with different anthropic impact. The database presented here gathers presence information on the mentioned taxa, their geographical location for the entire country, while preserving the identity and authorship of each scientific work retrieved. The taxonomic range of the organisms of the edaphic biota collected in this database ranges from class to subspecies and are registered, based on the taxonomic level reported by the original author in their research. The publications were obtained from Google Scholar, Scopus and JSTOR. In addition, records were added from INEDES theses, library searches, information requested from authors cited in other articles and unpublished works. In total, information was collected from 224 scientific publications, as well as personal information requested directly from some authors. The total number of registered individuals so far is 4838 of which 3049 specimens correspond to Acari, 944 to Classiclitellata and 845 belong to Collembola. This work is the first to gather, in a single publication, the entire dataset for all the Acari, Collembola and Clitellata recorded for Argentina.