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Saïd Abdeddaïm
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Journal Articles
- 2016
- [j5]Mounia Haddoud, Aïcha Mokhtari, Thierry Lecroq, Saïd Abdeddaïm:
Combining supervised term-weighting metrics for SVM text classification with extended term representation. Knowl. Inf. Syst. 49(3): 909-931 (2016) - 2014
- [j4]Mounia Haddoud, Saïd Abdeddaïm:
Accurate keyphrase extraction by discriminating overlapping phrases. J. Inf. Sci. 40(4): 488-500 (2014) - 2005
- [j3]Johann Pelfrêne, Saïd Abdeddaïm, Joël Alexandre:
Extracting approximate patterns. J. Discrete Algorithms 3(2-4): 293-320 (2005) - 2002
- [j2]Burkhard Morgenstern, Oliver Rinner, Saïd Abdeddaïm, Dirk Haase, Klaus F. X. Mayer, Andreas W. M. Dress, Hans-Werner Mewes:
Exon discovery by genomic sequence alignment. Bioinform. 18(6): 777-787 (2002) - 1997
- [j1]Saïd Abdeddaïm:
Fast and Sound Two-Step Algorithms for Multiple Alignment of Nucleic Sequences. Int. J. Artif. Intell. Tools 6(2): 179-192 (1997)
Conference and Workshop Papers
- 2024
- [c13]Safaa Menad, Saïd Abdeddaïm, Lina Fatima Soualmia:
SiMHOMer: Siamese Models for Health Ontologies Merging and Validation Through Large Language Models. IWBBIO (1) 2024: 117-129 - [c12]Saïd Abdeddaïm, Lina Fatima Soualmia:
Merging Biomedical Ontologies with BioSTransformers. MIE 2024: 771-775 - 2023
- [c11]Safaa Menad, Wissame Laddada, Saïd Abdeddaïm, Lina Fatima Soualmia:
New Siamese Neural Networks for Text Classification and Ontologies Alignment. CCE 2023: 16-29 - [c10]Safaa Menad, Saïd Abdeddaïm, Lina Fatima Soualmia:
BioSTransformers: Modèles de langage pour l'apprentissage sans exemple dans des textes biomédicaux. EGC 2023: 409-416 - [c9]Safaa Menad, Wissame Laddada, Saïd Abdeddaïm, Lina Fatima Soualmia:
Nouveaux réseaux neuronaux profonds pour l'alignement d'ontologies. IC 2023: 110-115 - [c8]Safaa Menad, Saïd Abdeddaïm, Lina Fatima Soualmia:
Flexible Classification, Question-Answering and Retrieval with Siamese Neural Networks for Biomedical Texts. FQAS 2023: 27-38 - [c7]Safaa Menad, Wissame Laddada, Saïd Abdeddaïm, Lina Fatima Soualmia:
BioSTransformers for Biomedical Ontologies Alignment. KEOD 2023: 73-84 - 2019
- [c6]Saïd Abdeddaïm, Sylvestre Vimard, Lina Fatima Soualmia:
The MeSH-Gram Neural Network Model: Extending Word Embedding Vectors with MeSH Concepts for Semantic Similarity. MedInfo 2019: 5-9 - 2015
- [c5]Mounia Haddoud, Aïcha Mokhtari, Thierry Lecroq, Saïd Abdeddaïm:
Supervised Term Weights for Biomedical Text Classification: Improvements in Nearest Centroid Computation. CIBB 2015: 98-113 - [c4]Mounia Haddoud, Aïcha Mokhtari, Thierry Lecroq, Saïd Abdeddaïm:
Accurate Keyphrase Extraction from Scientific Papers by Mining Linguistic Information. CLBib@ISSI 2015: 12-17 - 2003
- [c3]Johann Pelfrêne, Saïd Abdeddaïm, Joël Alexandre:
Extracting Approximate Patterns. CPM 2003: 328-347 - 2000
- [c2]Saïd Abdeddaïm, Burkhard Morgenstern:
Speeding Up the DIALIGN Multiple Alignment Program by Using the 'Greedy Alignment of BIOlogical Sequences LIBrary' (GABIOS-LIB). JOBIM 2000: 1-11 - 1997
- [c1]Saïd Abdeddaïm:
On Incremental Computation of Transitive Closure and Greedy Alignment. CPM 1997: 167-179
Informal and Other Publications
- 2018
- [i1]Saïd Abdeddaïm, Sylvestre Vimard, Lina Fatima Soualmia:
The MeSH-gram Neural Network Model: Extending Word Embedding Vectors with MeSH Concepts for UMLS Semantic Similarity and Relatedness in the Biomedical Domain. CoRR abs/1812.02309 (2018)
Coauthor Index
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