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Mohamed Quafafou
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2020 – today
- 2024
- [j10]Ayoub Charef
, Zahi Jarir
Assessing the driving behaviour of motorcyclists to improve road safety. J. Univers. Comput. Sci. 30(5): 617-644 (2024) - 2023
- [j9]Amine Zeguendry
Quantum Machine Learning: A Review and Case Studies. Entropy 25(2): 287 (2023) - [c65]Guillaume Laurent-Burle, Mohamed Quafafou:
Predictive Monitoring of Resources Consumption in Project Management. CENTERIS/ProjMAN/HCist 2023: 1799-1806 - 2022
- [c64]Amine Zeguendry
Quantum Machine Learning: Practical Cases. INISTA 2022: 1-6 - [p2]Meryem Bendella, Mohamed Quafafou:
Leveraging Closed Patterns and Formal Concept Analysis for Enhanced Microblogs Retrieval. Complex Data Analytics with Formal Concept Analysis 2022: 151-166 - 2021
- [c63]Feda Almuhisen
Sequential Patterns for Spatio-Temporal Traffic Prediction. WI/IAT 2021: 595-602 - 2020
- [j8]Soufiane Lyaqini, Mohamed Quafafou, Mourad Nachaoui
Supervised learning as an inverse problem based on non-smooth loss function. Knowl. Inf. Syst. 62(8): 3039-3058 (2020) - [c62]Mohamed Quafafou:
Perception in Human-Computer Symbiosis. HCI (48) 2020: 83-89
2010 – 2019
- 2019
- [c61]Meryem Bendella, Mohamed Quafafou:
Expansion de requêtes à base de motifs et de Word Embeddings pour améliorer la recherche de microblogs. CORIA 2019 - [c60]Meryem Bendella, Mohamed Quafafou:
Patterns Based Query Expansion for Enhanced Search on Twitter Data. ICFCA (Supplements) 2019: 100-112 - [c59]Agus Budi Raharjo
Dynamic Reliable Voting in Ensemble Learning. AIAI 2019: 178-187 - 2018
- [j7]Feda Almuhisen
Detecting behavior types of moving object trajectories. Int. J. Data Sci. Anal. 5(2-3): 169-187 (2018) - [c58]Meryem Bendella, Feda Almuhisen
Geo-FUZZ: Fuzzy-based algorithm for suspicious geo-tagged tweets detection. FUZZ-IEEE 2018: 1-7 - [c57]Feda Almuhisen
Sequential Formal Concepts over Time for Trajectory Analysis. WI 2018: 598-603 - 2017
- [c56]Mohamed Quafafou, Meryem Bendella
Leveraging uncertainty modeling for suspicious tweets detection. FUZZ-IEEE 2017: 1-6 - [c55]Agus Budi Raharjo
The Combination of Decision in Crowds When the Number of Reliable Annotator Is Scarce. IDA 2017: 260-271 - 2016
- [j6]Nicolas Durand
Frequent Itemset Border Approximation by Dualization. Trans. Large Scale Data Knowl. Centered Syst. 26: 32-60 (2016) - [c54]Hafida Naim, Mustapha Aznag, Mohamed Quafafou, Nicolas Durand
Semantic Divergence Based Evaluation of Web Service Communities. SCC 2016: 736-743 - [c53]Hafida Naïm, Mustapha Aznag, Nicolas Durand
Semantic Pattern Mining Based Web Service Recommendation. ICSOC 2016: 417-432 - [c52]Hafida Naim, Mustapha Aznag, Mohamed Quafafou, Nicolas Durand
Probabilistic Approach for Diversifying Web Services Discovery and Composition. ICWS 2016: 73-80 - [c51]Mohamed Quafafou:
Rough Sets Are \epsilon -Accessible. IJCRS 2016: 77-86 - 2014
- [j5]Selwa Elfirdoussi
Ranking Web Services using Web Service Popularity Score. Int. J. Inf. Technol. Web Eng. 9(2): 78-89 (2014) - [c50]Nicolas Durand
Approximation of Frequent Itemset Border by Computing Approximate Minimal Hypergraph Transversals. DaWaK 2014: 357-368 - [c49]El Mehdi Rochd, Mohamed Quafafou:
A Top-N Recommender Model with Partially Predefined Structure. ICEBE 2014: 112-119 - [c48]Mustapha Aznag, Mohamed Quafafou, Zahi Jarir
WS-Portal an Enriched Web Services Search Engine. ICSOC Workshops 2014: 409-412 - [c47]Mustapha Aznag, Mohamed Quafafou, Zahi Jarir
Leveraging Formal Concept Analysis with Topic Correlation for Service Clustering and Discovery. ICWS 2014: 153-160 - [c46]El Mehdi Rochd, Mohamed Quafafou:
A Nonparametric Mixture Model for Personalizing Web Search. IDA 2014: 263-275 - 2013
- [c45]Mustapha Aznag, Mohamed Quafafou, El Mehdi Rochd, Zahi Jarir
Probabilistic Topic Models for Web Services Clustering and Discovery. ESOCC 2013: 19-33 - [c44]Anis Ismail, Mohammad Hajjar, Mohamed Quafafou, Nicolas Durand
Clustering using Hypergraph for P2P Query Routing - Simulation and Evaluation. ICEIS (1) 2013: 247-254 - [c43]Chirine Wolley, Mohamed Quafafou:
Scalable Expert Selection When Learning from Noisy Labelers. ICMLA (1) 2013: 398-401 - [c42]El Mehdi Rochd, Mohamed Quafafou, Mustapha Aznag:
Encoding Local Correspondence in Topic Models. ICTAI 2013: 602-609 - [c41]Chirine Wolley, Mohamed Quafafou:
Multiclass Learning from Multiple Uncertain Annotations. IDA 2013: 438-449 - [p1]Gilles Nachouki, Mohamed Quafafou, Omar Boucelma
Querying Conflicting Web Data Sources. Advanced Query Processing (1) 2013: 271-303 - [i6]Mustapha Aznag, Mohamed Quafafou, Nicolas Durand
Web Services Discovery and Recommendation Based on Information Extraction and Symbolic Reputation. CoRR abs/1304.3268 (2013) - 2012
- [c40]Zineb Younsi, Mohamed Quafafou, Redouane Ouzegane, Abdelkamel Tari:
WebOMSIE: An Ontology-Based Multi Source Web Information Extraction. ADBIS Workshops 2012: 199-208 - [c39]Chirine Wolley, Mohamed Quafafou:
Learning from Multiple Naive Annotators. ADMA 2012: 173-185 - [c38]Ammar Mechouche, Azeddine Zidouni, Mohamed Quafafou, Omar Boucelma:
Automatic Fine-grained Labeling of Brain MR Images - A CRF Approach. BIOSIGNALS 2012: 521-526 - [c37]Mustapha Aznag, Mohamed Quafafou, Nicolas Durand, Zahi Jarir:
Représentations de services web : impact sur la découverte et la recommandation. EGC 2012: 549-550 - [c36]Chirine Wolley, Mohamed Quafafou:
Learning from Multiple Annotators: When Data is Hard and Annotators are Unreliable. ICDM Workshops 2012: 514-521 - [c35]Selwa Elfirdoussi
Popularity Based Web Service Search. ICWS 2012: 683-689 - [c34]Gilles Nachouki, Mohamed Quafafou:
Efficient Research in Community Semantic Overlay Networks. NDT (2) 2012: 1-11 - 2011
- [j4]Gilles Nachouki, Mohamed Quafafou:
MashUp web data sources and services based on semantic queries. Inf. Syst. 36(2): 151-173 (2011) - [c33]Mustapha Aznag, Mohamed Quafafou, Nicolas Durand
Multiple Representations of Web Services: Discovery, Clustering and Recommendation. ICWS 2011: 748-749 - [i5]Anis Ismail, Mohamed Quafafou, Nicolas Durand
An Efficient Architecture for Information Retrieval in P2P Context Using Hypergraph. CoRR abs/1108.1378 (2011) - [i4]Zahi Jarir, Mohamed Quafafou, Mohammed Erradi:
Personalized Web Services for Web Information Extraction. CoRR abs/1108.5460 (2011) - [i3]Anis Ismail, Mohamed Quafafou, Nicolas Durand, Gilles Nachouki, Mohammad Hajjar:
Queries mining for efficient routing in P2P communities. CoRR abs/1109.5679 (2011) - [i2]Anis Ismail, Mohamed Quafafou, Gilles Nachouki, Mohammad Hajjar:
Efficient Super-Peer-Based Queries Routing: Simulation and Evaluation. CoRR abs/1111.5518 (2011) - 2010
- [c32]Mohamed Quafafou, Omar Boucelma, Yacine Sam, Zahi Jarir
Hybrid Reasoning for Web Services Discovery. RED 2010: 150-159
2000 – 2009
- 2009
- [c31]Azeddine Zidouni, Mohamed Quafafou, Hervé Glotin:
Structured Named Entity Retrieval in Audio Broadcast News. CBMI 2009: 126-131 - [c30]Azeddine Zidouni, Hervé Glotin, Mohamed Quafafou:
Recherche d'entités nommées dans les journaux radiophoniques par contextes hiérarchique et syntaxique. CORIA 2009: 421-432 - [c29]Anis Ismail, Mohamed Quafafou, Gilles Nachouki, Mohammad Hajjar:
Data mining effect in peer-to-peer queries routing. MEDES 2009: 65-72 - [c28]Anis Ismail, Mohamed Quafafou, Gilles Nachouki, Mohammad Hajjar:
Efficient super-peer-based queries routing. MEDES 2009: 91-98 - [c27]Zahi Jarir
Context- and QoS Aware Personalization for Web Services: Web Information Extraction Case Study. SITIS 2009: 401-406 - [i1]Rokia Missaoui, Léonard Kwuida, Mohamed Quafafou, Jean Vaillancourt:
Algebraic operators for querying pattern bases. CoRR abs/0902.4042 (2009) - 2008
- [j3]Gilles Nachouki, Mohamed Quafafou:
Multi-data source fusion. Inf. Fusion 9(4): 523-537 (2008) - 2007
- [c26]Yassine Lassoued, Mehdi Essid, Omar Boucelma, Mohamed Quafafou:
Quality-Driven Mediation for Geographic Data. QDB 2007: 27-38 - 2005
- [c25]Mohamed Quafafou, Sami Naouali, Gilles Nachouki:
Knowledge Datawarehouse: Web Usage OLAP Application. Web Intelligence 2005: 334-337 - [c24]Gilles Nachouki, Mohamed Quafafou, Marie-Pierre Chastang:
MDSManager: A System Based on Multidatasource Approach for Data Integration. Web Intelligence 2005: 438-441 - 2004
- [c23]Benjamin Habegger, Mohamed Quafafou:
WetDL: A Web Information Extraction Language. ADVIS 2004: 128-138 - [c22]Benjamin Habegger, Mohamed Quafafou:
Web Services for Information Extraction from the Web. ICWS 2004: 279- - [c21]Benjamin Habegger, Mohamed Quafafou:
Building Web Information Extraction Tasks. Web Intelligence 2004: 349-355 - [c20]Benjamin Habegger, Mohamed Quafafou:
Context Generalization for Information Extraction from the Web. Web Intelligence 2004: 720-723 - 2003
- [c19]Jimmy Leblet, Mohamed Quafafou:
A New Method for Query Generation Applied to Learning Text Classifiers. Web Intelligence 2003: 633-636 - 2002
- [c18]Daniel Pacholczyk, Mohamed Quafafou, Laurent Garcia:
Optimistic vs. Pessimistic Interpretation of Linguistic Negation. AIMSA 2002: 132-141 - [c17]Gilles Nachouki, Mohamed Quafafou:
Description Logic in Semantics Querying. Description Logics 2002 - [c16]Benjamin Habegger, Mohamed Quafafou:
Multi-Pattern Wrappers for Relation Extraction from the Web. ECAI 2002: 395-399 - [c15]Gilles Nachouki, Mohamed Quafafou:
Extracting, Interconnecting, and Accessing Heterogeneous Data Sources: An XML Query Based Approach. EurAsia-ICT 2002: 442-449 - [c14]Vincent Dubois, Mohamed Quafafou:
Rough Version Spaces for Text Mining. FSKD 2002: 339-343 - [c13]Daniel Pacholczyk, Mohamed Quafafou:
Towards a Linguistic Negation Approximation Based on Rough Set Theory. IC-AI 2002: 542-548 - [c12]Vincent Dubois, Mohamed Quafafou:
Incremental and Dynamic Text Mining. ISMIS 2002: 265-273 - [c11]Vincent Dubois, Mohamed Quafafou:
Concept Learning with Approximation: Rough Version Spaces. Rough Sets and Current Trends in Computing 2002: 239-246 - 2001
- [c10]Gaëtan Gaumer, Mohamed Quafafou:
Résumés d'instances pour l'extraction de connaissances à partir de données relationnelles et textuelles. BDA 2001 - [c9]Vincent Dubois, Mohamed Quafafou, Benjamin Habegger:
Mining Crawled Data and Visualizing Discovered Knowledge. Web Intelligence 2001: 493-497 - 2000
- [j2]Mohamed Quafafou, Moussa Boussouf:
Generalized rough sets based feature selection. Intell. Data Anal. 4(1): 3-17 (2000) - [j1]Mohamed Quafafou:
alpha-RST: a generalization of rough set theory. Inf. Sci. 124(1-4): 301-316 (2000) - [c8]Moussa Boussouf, Mohamed Quafafou:
Data Reduction via Conflicting Data Analysis. ISMIS 2000: 139-147 - [c7]Moussa Boussouf, Mohamed Quafafou:
Scalable Feature Selection Using Rough Set Theory. Rough Sets and Current Trends in Computing 2000: 131-138
1990 – 1999
- 1998
- [c6]Emmanuelle Martienne, Mohamed Quafafou:
Vagueness and Data Reduction in Concept Learning. ECAI 1998: 351-355 - [c5]Emmanuelle Martienne, Mohamed Quafafou:
Learning Logical Descriptions for Document Understanding: A Rough Sets-Based Approach. Rough Sets and Current Trends in Computing 1998: 202-209 - [e1]Jan M. Zytkow, Mohamed Quafafou:
Principles of Data Mining and Knowledge Discovery, Second European Symposium, PKDD '98, Nantes, France, September 23-26, 1998, Proceedings. Lecture Notes in Computer Science 1510, Springer 1998, ISBN 3-540-65068-7 [contents] - 1997
- [c4]Mohamed Quafafou:
Learning Flexible Concepts from Uncertain Data. ISMIS 1997: 507-518 - [c3]Mohamed Quafafou, Moussa Boussouf:
Induction of Strong Feature Subsets. PKDD 1997: 384-392 - 1994
- [c2]Mohamed Quafafou:
GAITS II: An Intelligent System for Computer-Aided Education. ISMIS 1994: 223-232 - 1993
- [c1]Mohamed Quafafou, Mohammed Nafia:
GAITS: Fuzzy Set-Based Algorithms for Computing Strategies Using Genetic Algorithms. FLAI 1993: 59-67
Coauthor Index
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last updated on 2024-12-10 21:42 CET by the dblp team
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