24,544 research outputs found
issa-pipeline
No full text<p>Minor updates after branching to ISSA-2.</p>If you use this software, please cite it as below
Marie-France Ould-Issa
No full textOuld-Issa Marie-France. Marie-France Ould-Issa. In: Diplômées, n°230, 2009. pp. 183-184
issa-pipeline
No full text<p>Enhanced and refactored ISSA pipeline into a new version that supports easily configurable multi-instance pipelines.</p>
<ul>
<li>Upgraded ISSA pipeline environment<ul>
<li>upgraded the execution environment with available upgrades of the tools: Grobid, Entity-Fishing, Pyclinrec</li>
<li>added Morph-xR2RML Dockers instead of MongoDB and host-based morph-xr2rml java application</li>
</ul>
</li>
<li>Extended Agritrop KG<ul>
<li>annotate documents beyond articles, e.g. theses, conference papers, etc. without full-text extraction</li>
<li>added document domain descriptors</li>
</ul>
</li>
<li>Refactored the code to support multi-instance deployment<ul>
<li>with a minimal effort to launch a new ISSA pipeline for another document corpus</li>
<li>and the support for running multiple pipelines and SPARQL endpoints on the same machine</li>
</ul>
</li>
<li>Added the configuration for the HAL EuroMov ISSA pipeline</li>
</ul>If you use this software, please cite it as below
robitalec/targets-issa: v0.0.0.9000
No full text:hammer_and_wrench: A targets workflow for integrated step selection analyses (iSSA
ISSA Agritrop Dataset
No full textThis dataset, produced in the context of the ISSA project, provides a semantic index of the articles of the Agritrop scientific archive. It is built by extracting thematic descriptors and named entities from the articles full-text, and linking them with resources from DBpedia, Wikidata and AGROVOC.
Licensing:
Different licenses apply to the different subsets of the ISSA Agritrop dataset:
articles metadata is provided under the Agritrop open licence;
full text content extracted from the articles retains the same licence as the original article;
additional data produced by mining the articles (thematic descriptors, named entities) is published under the Open Data Commons Attribution License 1.0 (ODC-By
issa-project/web-backend: 1.0
No full textThis project is provides services for the visualization of documients indexed by the pipeline set up in the context of the ISSA project
issa-project/web-visualization: 1.0
No full textThis project is a web interface for visualizing documents indexed by the pipeline set up in the context of the ISSA project
HEVC-SVS: Low-level HEVC features and CNN features for TVSum, SumMe, OVP and VSUMM datasets
No full textProposed HEVC feature sets along with CNN features from GoogleNet, AlexNet, Inception-ResNet-V2, and VGG16 for TVSum, SumMe, OVP and VSUMM datasets. The new modified datasets names are "HEVC-SVS-TVSum", "HEVC-SVS-SumMe", "HEVC-SVS-OVP" and "HEVC-SVS-VSUMM", respectively.The datasets contain the original ground truth data they came with, and these stayed unmodified.Upon using any of these datasets, please do cite our publications where we proposed the HEVC feature set for the first time:If you are using (HEVC-SVS-OVP) and/or (HEVC-SVS-VSUMM) datasets: https://ieeexplore.ieee.org/document/9815254/@article{issa_cnn_2022,title = {{CNN} and {HEVC} {Video} {Coding} {Features} for {Static} {Video} {Summarization}},volume = {10},issn = {2169-3536},url = {https://ieeexplore.ieee.org/document/9815254/},doi = {10.1109/ACCESS.2022.3188638},urldate = {2022-09-29},journal = {IEEE Access},author = {Issa, Obada and Shanableh, Tamer},year = {2022},pages = {72080--72091},}If you are using (HEVC-SVS-TVSum) and/or (HEVC-SVS-SumMe) datasets: https://www.mdpi.com/2076-3417/13/10/6065@article{issa_static_2023,title = {Static {Video} {Summarization} {Using} {Video} {Coding} {Features} with {Frame}-{Level} {Temporal} {Subsampling} and {Deep} {Learning}},volume = {13},issn = {2076-3417},url = {https://www.mdpi.com/2076-3417/13/10/6065},doi = {10.3390/app13106065},number = {10},journal = {Applied Sciences},author = {Issa, Obada and Shanableh, Tamer},month = may,year = {2023},pages = {6065},}Make sure to also cite the original authors for each of the datasets:TVSum (https://people.csail.mit.edu/yalesong/tvsum/)SumMe (https://gyglim.github.io/me/vsum/index.html)OVP and VSUMM (https://www.sites.google.com/site/vsummsite/download)Acknowledgement:The work in this research project is supported by the American University of Sharjah under research grant number FRG22-E-E44. This research work represents the opinions of the author(s) and does not mean to represent the position or opinions of the American University of Sharjah
Rapport scientifique du Projet ISSA 2
No full textLe projet ISSA 2 (Lauréat 2022 CollEx-Persée) fait suite au projet ISSA (Lauréat 2020 CollEx-Persée) qui s'intéressait à l'indexation sémantique des publications scientifiques dans une archive ouverte et à l'exploitation de cette indexation pour développer des services aux chercheurs et aux documentalistes. S'inscrivant dans la dynamique de la science ouverte et le respect des principes FAIR, le projet ISSA 2 propose une méthode générique pour explorer les données disponibles dans une archive ouverte afin 1) d'en extraire des connaissances nouvelles, 2) d'exploiter ces connaissances avec un objectif bibliométrique et 3) de proposer des services aux chercheurs et aux documentalistes, en particulier en termes de bibliométrie et de recherche d'information. Le projet s'appuie sur l'index sémantique produit dans le cadre du projet ISSA, décrivant les publications d'une archive ouverte : métadonnées, descripteurs et entités nommées mentionnées dans le texte, liés à des bases de connaissances standard. Les méthodes proposées exploitent des techniques de fouille de données ainsi que des techniques de construction, publication et exploitation de graphes de connaissances (Web sémantique et Web des données). L'apport de l'intelligence artificielle doit permettre d'enrichir et élargir les possibilités offertes par des indicateurs bibliométriques par ailleurs bien connus. Deux archives ouvertes serviront de cas d'utilisation tout au long du projet : Agritrop, l'archive ouverte du Cirad, et l'instance HAL de l'UR EuroMov Digital Health in Motion
Michigan State University Professor of Linguistics Dr. Sadam Issa, introduces a screening of the documentary film "Naji al-Ali" and talks about the cartoonist's life and work
No full textMichigan State University Professor of Linguistics Dr. Sadam Issa, introduces a screening of the documentary film "Naji al-Ali : an artist with vision." Dr. Issa talks about the life and career of al-Ali, considered the most influential and famous Arab cartoonist, and a Palestinian activist until he was murdered in 1987. Audio from the movie is not included. Dr. Issa answers questions from the audience and talks more about al-Ali's work and the political context. Dr. Issa is introduced by MSU Librarian Michael Rodriguez. Part of the MSU Library Film Series. Cosponsored by the MSU Comics Forum and the MSU Muslim Studies Program. Held in the MSU Main Library
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