Automatic keyphrase extraction: a survey and trends Z Alami Merrouni, B Frikh, B Ouhbi Journal of Intelligent Information Systems 54 (2), 391-424, 2020 | 122 | 2020 |
Nonparametric estimation for semi-Markov processes based on its hazard rate functions B Ouhbi, N Limnios Statistical Inference for Stochastic Processes 2 (2), 151-173, 1999 | 99 | 1999 |
Nonparametric reliability estimation of semi-Markov processes B Ouhbi, N Limnios Journal of Statistical Planning and Inference 109 (1-2), 155-165, 2003 | 72 | 2003 |
Empirical estimator of stationary distribution for semi-Markov processes N Limnios, B Ouhbi, A Sadek Communications in Statistics—Theory and Methods 34 (4), 987-995, 2005 | 60 | 2005 |
The rate of occurrence of failures for semi-Markov processes and estimation B Ouhbi, N Limnios Statistics & probability letters 59 (3), 245-255, 2002 | 50 | 2002 |
Multi-criteria recommender systems based on multi-attribute decision making F Hdioud, B Frikh, B Ouhbi Proceedings of international conference on information integration and web …, 2013 | 47 | 2013 |
Expertise-based consensus building for MCGDM with hesitant fuzzy linguistic information H Sellak, B Ouhbi, B Frikh, B Ikken Information Fusion 50, 54-70, 2019 | 44 | 2019 |
Non‐parametric estimation for semi‐Markov kernels with application to reliability analysis B Ouhbi, N Limnios Applied stochastic models and data analysis 12 (4), 209-220, 1996 | 42 | 1996 |
Deep reinforcement learning based trading agents: Risk curiosity driven learning for financial rules-based policy B Hirchoua, B Ouhbi, B Frikh Expert Systems with Applications 170, 114553, 2021 | 41 | 2021 |
Assessing reliability of big data knowledge discovery process HM Safhi, B Frikh, B Ouhbi Procedia computer science 148, 30-36, 2019 | 41 | 2019 |
Towards next-generation energy planning decision-making: An expert-based framework for intelligent decision support H Sellak, B Ouhbi, B Frikh, I Palomares Renewable and Sustainable Energy Reviews 80, 1544-1577, 2017 | 40 | 2017 |
Automatic keyphrase extraction: An overview of the state of the art ZA Merrouni, B Frikh, B Ouhbi 2016 4th IEEE international colloquium on information science and technology …, 2016 | 36 | 2016 |
Nonparametric estimation of some important indicators in reliability for semi-Markov processes N Limnios, B Ouhbi Statistical Methodology 3 (4), 341-350, 2006 | 35 | 2006 |
A knowledge-based outranking approach for multi-criteria decision-making with hesitant fuzzy linguistic term sets H Sellak, B Ouhbi, B Frikh Applied Soft Computing 67, 625-640, 2018 | 30 | 2018 |
Empirical estimators of reliability and related functions for semi-Markov systems N Limnios, B Ouhbi Mathematical and statistical methods in reliability, 469-483, 2003 | 30 | 2003 |
Deep learning based recommender systems B Ouhbi, B Frikh, E Zemmouri, A Abbad 2018 ieee 5th international congress on information science and technology …, 2018 | 25 | 2018 |
Semantic-based Big Data integration framework using scalable distributed ontology matching strategy I Mountasser, B Ouhbi, F Hdioud, B Frikh Distributed and Parallel Databases 39, 891-937, 2021 | 23 | 2021 |
Reliability estimation of semi-Markov systems: a case study B Ouhbi, N Limnios Reliability Engineering & System Safety 58 (3), 201-204, 1997 | 23 | 1997 |
Toward contextual information retrieval: a review and trends ZA MERROUNI, B FRIKH, B OUHBI Procedia computer science 148, 191-200, 2019 | 22 | 2019 |
A comparison study of some algorithms in Recommender Systems F Hdioud, B Frikh, B Ouhbi 2012 colloquium in information science and technology, 130-135, 2012 | 21 | 2012 |