Abdelkader El Mahdaouy

Orcid: 0000-0003-4281-2472

According to our database1, Abdelkader El Mahdaouy authored at least 36 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Bibliography

2024
On the atout ticket learning problem for neural networks and its application in securing federated learning exchanges.
J. Inf. Secur. Appl., 2024

DomURLs_BERT: Pre-trained BERT-based Model for Malicious Domains and URLs Detection and Classification.
CoRR, 2024

Fine-Tuning a Large Language Model with Reinforcement Learning for Educational Question Generation.
Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024

2023
OMCD: Offensive Moroccan Comments Dataset.
Lang. Resour. Evaluation, December, 2023

Fed-ANIDS: Federated learning for anomaly-based network intrusion detection systems.
Expert Syst. Appl., December, 2023

DAQAS: Deep Arabic Question Answering System based on duplicate question detection and machine reading comprehension.
J. King Saud Univ. Comput. Inf. Sci., September, 2023

Unsupervised query-focused multi-document summarization based on transfer learning from sentence embedding models, BM25 model, and maximal marginal relevance criterion.
J. Ambient Intell. Humaniz. Comput., March, 2023

Unsupervised extractive multi-document summarization method based on transfer learning from BERT multi-task fine-tuning.
J. Inf. Sci., February, 2023

Can Anaphora Resolution Improve Extractive Query-Focused Multi-Document Summarization?
IEEE Access, 2023

Investigating Domain Adaptation for Network Intrusion Detection.
Proceedings of the 10th International Conference on Wireless Networks and Mobile Communications, 2023

UM6P & UL at WojoodNER shared task: Improving Multi-Task Learning for Flat and Nested Arabic Named Entity Recognition.
Proceedings of ArabicNLP 2023, Singapore (Hybrid), December 7, 2023, 2023

UL & UM6P at ArAIEval Shared Task: Transformer-based model for Persuasion Techniques and Disinformation detection in Arabic.
Proceedings of ArabicNLP 2023, Singapore (Hybrid), December 7, 2023, 2023

UM6P at SemEval-2023 Task 12: Out-Of-Distribution Generalization Method for African Languages Sentiment Analysis.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

UL & UM6P at SemEval-2023 Task 10: Semi-Supervised Multi-task Learning for Explainable Detection of Online Sexism.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

UM6P at SemEval-2023 Task 3: News genre classification based on transformers, graph convolution networks and number of sentences.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

2022
Embedding arabic questions by feature-level fusion of word representations for questions classification: It is worth doing?
J. King Saud Univ. Comput. Inf. Sci., 2022

AdaSL: An Unsupervised Domain Adaptation framework for Arabic multi-dialectal Sequence Labeling.
Inf. Process. Manag., 2022

UM6P-CS at SemEval-2022 Task 11: Enhancing Multilingual and Code-Mixed Complex Named Entity Recognition via Pseudo Labels using Multilingual Transformer.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

CS-UM6P at SemEval-2022 Task 6: Transformer-based Models for Intended Sarcasm Detection in English and Arabic.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

2021
An unsupervised method for extractive multi-document summarization based on centroid approach and sentence embeddings.
Expert Syst. Appl., 2021

BERT-based Multi-Task Model for Country and Province Level Modern Standard Arabic and Dialectal Arabic Identification.
CoRR, 2021

BERT-based Multi-Task Model for Country and Province Level MSA and Dialectal Arabic Identification.
Proceedings of the Sixth Arabic Natural Language Processing Workshop, 2021

Deep Multi-Task Model for Sarcasm Detection and Sentiment Analysis in Arabic Language.
Proceedings of the Sixth Arabic Natural Language Processing Workshop, 2021

CS-UM6P at SemEval-2021 Task 1: A Deep Learning Model-based Pre-trained Transformer Encoder for Lexical Complexity.
Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

CS-UM6P at SemEval-2021 Task 7: Deep Multi-Task Learning Model for Detecting and Rating Humor and Offense.
Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

Domain Adaptation for Arabic Cross-Domain and Cross-Dialect Sentiment Analysis from Contextualized Word Embedding.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Deep Multi-Task Models for Misogyny Identification and Categorization on Arabic Social Media.
Proceedings of the Working Notes of FIRE 2021, 2021

On the Role of Orthographic Variations in Building Multidialectal Arabic Word Embeddings.
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

2019
Word-embedding-based pseudo-relevance feedback for Arabic information retrieval.
J. Inf. Sci., 2019

Should one use term proximity or multi-word terms for Arabic information retrieval?
Comput. Speech Lang., 2019

2018
Improving Arabic information retrieval using word embedding similarities.
Int. J. Speech Technol., 2018

2017
Accès à l'information dans les grandes collections textuelles en langue arabe. (Accessing Arabic Textual Information in Large Scale Collections).
PhD thesis, 2017

2016
Semantically enhanced term frequency based on word embeddings for Arabic information retrieval.
Proceedings of the 4th IEEE International Colloquium on Information Science and Technology, 2016

Arabic Text Classification Based on Word and Document Embeddings.
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics, 2016

2014
A Study of Association Measures and their Combination for Arabic MWT Extraction.
CoRR, 2014

Exploring term proximity statistic for Arabic information retrieval.
Proceedings of the Third IEEE International Colloquium in Information Science and Technology, 2014


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