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ORCIDKhalid Benabdeslem
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2020 – today
- 2024
[j16]Dou El Kefel Mansouri
, Khalid Benabdeslem, Seif-Eddine Benkabou, Souleyman Chaib, Mohamed Chohri:
mFILS: Tri-Selection via Convex and Nonconvex Regularizations. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9871-9884 (2024)- [c52]Auday Berro, Boualem Benatallah, Yacine Gaci, Khalid Benabdeslem:
Error Types in Transformer-Based Paraphrasing Models: A Taxonomy, Paraphrase Annotation Model and Dataset. ECML/PKDD (1) 2024: 332-349 - [i4]Mehdi Hennequin, Khalid Benabdeslem, Haytham Elghazel:
PAC-Bayesian Domain Adaptation Bounds for Multi-view learning. CoRR abs/2401.01048 (2024) - [i3]Yassir Lairgi, Ludovic Moncla, Rémy Cazabet, Khalid Benabdeslem, Pierre Cléau:
iText2KG: Incremental Knowledge Graphs Construction Using Large Language Models. CoRR abs/2409.03284 (2024) - 2023
- [j15]Mouna Labiadh, Christian Obrecht, Catarina Ferreira da Silva, Parisa Ghodous, Khalid Benabdeslem:
Query-adaptive training data recommendation for cross-building predictive modeling. Knowl. Inf. Syst. 65(2): 707-732 (2023) - [j14]Dou El Kefel Mansouri, Seif-Eddine Benkabou, Khoula Meddahi, Allel Hadjali, Amin Mesmoudi, Khalid Benabdeslem, Souleyman Chaib:
CoSP: co-selection pick for a global explainability of black box machine learning models. World Wide Web (WWW) 26(6): 3965-3981 (2023) - [c51]Thomas Ranvier, Haytham Elghazel, Emmanuel Coquery, Khalid Benabdeslem:
Accounting for Imputation Uncertainty During Neural Network Training. DaWaK 2023: 265-280 - [c50]Yacine Gaci, Boualem Benatallah, Fabio Casati, Khalid Benabdeslem:
Societal Versus Encoded Stereotypes in Text Encoders. ICTAI 2023: 46-53 - [c49]Vivien Kraus, Khalid Benabdeslem, Seif-Eddine Benkabou, Dou El Kefel Mansouri, Bruno Canitia:
RSMS: Robust Semi-supervised Multi-label Feature Selection for Regression. ICTAI 2023: 99-105 - [c48]Yacine Gaci, Boualem Benatallah, Fabio Casati, Khalid Benabdeslem:
Targeting the Source: Selective Data Curation for Debiasing NLP Models. ECML/PKDD (2) 2023: 276-294 - 2022
- [j13]Khalid Benabdeslem, Dou El Kefel Mansouri, Raywat Makkhongkaew:
sCOs: Semi-Supervised Co-Selection by a Similarity Preserving Approach. IEEE Trans. Knowl. Data Eng. 34(6): 2899-2911 (2022) - [j12]Seif-Eddine Benkabou, Khalid Benabdeslem, Vivien Kraus, Kilian Bourhis, Bruno Canitia:
Local Anomaly Detection for Multivariate Time Series by Temporal Dependency Based on Poisson Model. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6701-6711 (2022) - [c47]Yacine Gaci, Boualem Benatallah, Fabio Casati, Khalid Benabdeslem:
Masked Language Models as Stereotype Detectors? EDBT 2022: 2:383-2:387 - [c46]Yacine Gaci, Boualem Benatallah, Fabio Casati, Khalid Benabdeslem:
Debiasing Pretrained Text Encoders by Paying Attention to Paying Attention. EMNLP 2022: 9582-9602 - [c45]Mehdi Hennequin, Khalid Benabdeslem, Haytham Elghazel, Thomas Ranvier, Eric Michoux:
Multi-view Self-attention for Regression Domain Adaptation with Feature Selection. ICONIP (1) 2022: 177-188 - [c44]Thomas Ranvier, Haytham Elghazel, Emmanuel Coquery, Khalid Benabdeslem:
Autoencoder-Based Attribute Noise Handling Method for Medical Data. ICONIP (6) 2022: 212-223 - [c43]Yacine Gaci, Boualem Benatallah, Fabio Casati, Khalid Benabdeslem:
Conceptual Similarity for Subjective Tags. AACL/IJCNLP (Findings) 2022: 54-66 - [c42]Mehdi Hennequin, Khalid Benabdeslem, Haytham Elghazel:
Adversarial Multi - View Domain Adaptation for Regression. IJCNN 2022: 1-8 - [c41]Yacine Gaci, Boualem Benatallah, Fabio Casati, Khalid Benabdeslem:
Iterative adversarial removal of gender bias in pretrained word embeddings. SAC 2022: 829-836 - [c40]Khoula Meddahi, Seif-Eddine Benkabou, Allel Hadjali, Amin Mesmoudi, Dou El Kefel Mansouri, Khalid Benabdeslem, Souleyman Chaib:
Towards a Co-selection Approach for a Global Explainability of Black Box Machine Learning Models. WISE 2022: 97-109 - [i2]Thomas Ranvier, Kilian Bourhis, Khalid Benabdeslem, Bruno Canitia:
Deep Multi-View Learning for Tire Recommendation. CoRR abs/2203.12451 (2022) - [i1]Thomas Ranvier, Haytham Elghazel, Emmanuel Coquery, Khalid Benabdeslem:
Autoencoder-based Attribute Noise Handling Method for Medical Data. CoRR abs/2206.10609 (2022) - 2021
- [j11]Abdelouahid Alalga, Khalid Benabdeslem, Dou El Kefel Mansouri:
3-3FS: ensemble method for semi-supervised multi-label feature selection. Knowl. Inf. Syst. 63(11): 2969-2999 (2021) - [j10]Dou El Kefel Mansouri, Bachir Kaddar, Seif-Eddine Benkabou, Khalid Benabdeslem:
The Mode-Fisher pooling for time complexity optimization in deep convolutional neural networks. Neural Comput. Appl. 33(12): 6443-6465 (2021) - [j9]Auday Berro, Mohammad-ali Yaghub Zade Fard, Marcos Báez, Boualem Benatallah, Khalid Benabdeslem:
An Extensible and Reusable Pipeline for Automated Utterance Paraphrases. Proc. VLDB Endow. 14(12): 2839-2842 (2021) - [c39]Yacine Gaci, Jorge Ramírez, Boualem Benatallah, Fabio Casati, Khalid Benabdeslem:
Subjectivity Aware Conversational Search Services. EDBT 2021: 157-168 - [c38]Thomas Ranvier, Khalid Benabdeslem, Kilian Bourhis, Bruno Canitia:
Apprentissage multi-vues pour la recommandation dans le domaine du pneumatique. EGC 2021: 261-268 - [c37]Auday Berro, Marcos Báez, Boualem Benatallah, Khalid Benabdeslem, Mohammad-ali Yaghub Zade Fard:
Automated Paraphrase Generation with Over-Generation and Pruning Services. ICSOC 2021: 400-414 - [c36]Thomas Ranvier, Khalid Benabdeslem, Kilian Bourhis, Bruno Canitia:
Deep Multi-View Learning for Tire Recommendation. IJCNN 2021: 1-8 - [c35]Dou El Kefel Mansouri, Khalid Benabdeslem:
Towards Multi-label Feature Selection by Instance and Label Selections. PAKDD (2) 2021: 233-244 - 2020
- [c34]Abdenacer Keraghel, Khalid Benabdeslem, Bruno Canitia:
Étude comparative pour l'analyse de requêtes complexes dans le domaine du pneumatique. EGC 2020: 73-84 - [c33]Assaad Kenaan, Khalid Benabdeslem, Kilian Bourhis, Bruno Canitia:
Approches hybrides pour la recommandation dans le domaine du pneumatique. EGC 2020: 133-144 - [c32]Mohamad Kanaan, Khalid Benabdeslem, Hamamache Kheddouci:
A Generative Time Series Clustering Framework Based on an Ensemble Mixture of HMMs. ICTAI 2020: 793-798 - [c31]Abdenacer Keraghel, Khalid Benabdeslem, Bruno Canitia:
Data augmentation process to improve deep learning-based NER task in the automotive industry field. IJCNN 2020: 1-8 - [c30]Vivien Kraus, Khalid Benabdeslem, Bruno Canitia:
Laplacian-based Semi-supervised Multi-Label Regression. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [c29]Dou El Kefel Mansouri, Seif-Eddine Benkabou, Bachir Kaddar, Josep Lluís Larriba-Pey, Khalid Benabdeslem:
Reducing Traffic Congestion by LSTM-LOF Framework. AICCSA 2019: 1-8 - [c28]Kilian Bourhis, Khalid Benabdeslem, Bruno Canitia:
Entre factorisation de matrices et apprentissage profond pour la recommandation dans le domaine du pneumatique. EGC 2019: 291-296 - [c27]Dou El Kefel Mansouri, Seif-Eddine Benkabou, Bachir Kaddar, Khalid Benabdeslem:
A Novel Proposed Pooling for Convolutional Neural Network. ICTAI 2019: 1739-1743 - 2018
- [j8]Seif-Eddine Benkabou, Khalid Benabdeslem, Bruno Canitia:
Unsupervised outlier detection for time series by entropy and dynamic time warping. Knowl. Inf. Syst. 54(2): 463-486 (2018) - [c26]Vivien Kraus, Khalid Benabdeslem, Frédéric Cherqui:
Régression Laplacienne semi-supervisée pour la reconstitution des dates de pose des réseaux d'assainissement. EGC 2018: 281-286 - [c25]Vivien Kraus, Seif-Eddine Benkabou, Khalid Benabdeslem, Frédéric Cherqui:
An Improved Laplacian Semi-Supervised Regression. ICTAI 2018: 564-570 - 2017
- [c24]Seif-Eddine Benkabou, Khalid Benabdeslem, Bruno Canitia:
ℓ2-type regularization-based unsupervised anomaly detection from temporal data. IJCNN 2017: 2354-2361 - [c23]Seif-Eddine Benkabou, Khalid Benabdeslem, Bruno Canitia:
Local-to-Global Unsupervised Anomaly Detection from Temporal Data. PAKDD (1) 2017: 762-772 - 2016
- [j7]Abdelouahid Alalga, Khalid Benabdeslem, Nora Taleb:
Soft-constrained Laplacian score for semi-supervised multi-label feature selection. Knowl. Inf. Syst. 47(1): 75-98 (2016) - [j6]Khalid Benabdeslem, Haytham Elghazel, Mohammed M. Al-Hindawi:
Ensemble constrained Laplacian score for efficient and robust semi-supervised feature selection. Knowl. Inf. Syst. 49(3): 1161-1185 (2016) - [c22]Raywat Makkhongkaew, Khalid Benabdeslem:
Semi-Supervised Similarity Preserving Co-Selection. ICDM Workshops 2016: 756-761 - [c21]Raywat Makkhongkaew, Khalid Benabdeslem, Haytham Elghazel:
Semi-supervised co-selection: Features and instances by a weighting approach. IJCNN 2016: 3477-3484 - 2015
- [c20]Khalid Benabdeslem, Mohammed M. Al-Hindawi, Raywat Makkhongkaew:
Weighting Based Approach for Semi-supervised Feature Selection. ICONIP (4) 2015: 300-307 - 2014
- [j5]Haytham Elghazel, Khalid Benabdeslem:
Different Aspects of Clustering The Self-Organizing Maps. Neural Process. Lett. 39(1): 97-114 (2014) - [j4]Khalid Benabdeslem, Mohammed M. Al-Hindawi:
Efficient Semi-Supervised Feature Selection: Constraint, Relevance, and Redundancy. IEEE Trans. Knowl. Data Eng. 26(5): 1131-1143 (2014) - 2013
- [j3]Khalid Benabdeslem, Kais Allab:
Bi-clustering continuous data with self-organizing map. Neural Comput. Appl. 22(7-8): 1551-1562 (2013) - [c19]Mohammed M. Al-Hindawi, Khalid Benabdeslem:
Local-to-global semi-supervised feature selection. CIKM 2013: 2159-2168 - 2011
- [c18]Khalid Benabdeslem, Brice Effantin, Haytham Elghazel:
A Graph Enrichment Based Clustering over Vertically Partitioned Data. ADMA (1) 2011: 42-54 - [c17]Mohammed M. Al-Hindawi, Kais Allab, Khalid Benabdeslem:
Constraint Selection-Based Semi-supervised Feature Selection. ICDM 2011: 1080-1085 - [c16]Kais Allab, Khalid Benabdeslem:
Constraint Selection for Semi-supervised Topological Clustering. ECML/PKDD (1) 2011: 28-43 - [c15]Khalid Benabdeslem, Mohammed M. Al-Hindawi:
Constrained Laplacian Score for Semi-supervised Feature Selection. ECML/PKDD (1) 2011: 204-218 - 2010
- [j2]Mustapha Lebbah, Khalid Benabdeslem:
Visualization and clustering of categorical data with probabilistic self-organizing map. Neural Comput. Appl. 19(3): 393-404 (2010) - [c14]Kais Allab, Khalid Benabdeslem, Alexandre Aussem:
Une approche de co-classification automatique à base des cartes topologiques. AAFD 2010: 1-24 - [c13]Haytham Elghazel, Khalid Benabdeslem, Fatma Hamdi:
Consensus clustering by graph based approach. ESANN 2010 - [c12]Rakia Jaziri, Khalid Benabdeslem, Haytham Elghazel:
A Graph Based Framework for Clustering and Characterization of SOM. ICANN (3) 2010: 387-396
2000 – 2009
- 2009
- [c11]Haytham Elghazel, Khalid Benabdeslem, Hamamache Kheddouci:
McSOM: Minimal Coloring of Self-Organizing Map. ADMA 2009: 128-139 - [c10]Haytham Elghazel, Khalid Benabdeslem:
Towards B-Coloring of SOM. MLDM 2009: 322-336 - [c9]Khalid Benabdeslem, Jihène Snoussi:
A Probabilistic Approach for Constrained Clustering with Topological Map. MLDM 2009: 413-426 - 2008
- [c8]Jihène Snoussi, Khalid Benabdeslem:
Classification sous contraintes probabilistes par les cartes topologiques. AAFD 2008: 77-92 - [c7]Fazia Bellal, Khalid Benabdeslem, Alexandre Aussem:
SOM based clustering with instance-level constraints. ESANN 2008: 313-318 - [c6]Anouar BenaHassena, Khalid Benabdeslem, Fazia Bellal, Alexandre Aussem, Bruno Canitia:
Intégration de contraintes dans les cartes auto-organisatrices. EGC 2008: 643-648 - 2007
- [c5]Haytham Elghazel, Khalid Benabdeslem, Alain Dussauchoy:
Constrained Graph b-Coloring Based Clustering Approach. DaWaK 2007: 262-271 - [c4]Khalid Benabdeslem, Mustapha Lebbah, Alexandre Aussem, Marilys Corbex:
Approche connexionniste pour l'extraction de profils cas-témoins du cancer du Nasopharynx à partir des données issues d'une étude épidémiologique. EGC 2007: 445-454 - 2006
- [j1]Khalid Benabdeslem, Younès Bennani:
Dendogram-based SVM for Multi-Class Classification. J. Comput. Inf. Technol. 14(4): 283-289 (2006) - [c3]Khalid Benabdeslem:
Descendant hierarchical support vector machine for multi-class problems. IJCNN 2006: 1470-1475 - 2002
- [c2]Khalid Benabdeslem, Younès Bennani, Eric Janvier:
Visualization and Analysis of Web Navigation Data. ICANN 2002: 486-491 - 2001
- [c1]Khalid Benabdeslem, Younès Bennani, Eric Janvier:
Connectionist Approach for Website Visitors Behaviors Mining. AICCSA 2001: 511-
Coauthor Index
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last updated on 2024-10-10 21:15 CEST by the dblp team
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