Imen Boukhris

Orcid: 0000-0003-4677-4311

According to our database1, Imen Boukhris authored at least 52 papers between 2009 and 2023.

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

Timeline

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Bibliography

2023
A GAN-BERT based decision making approach in peer review.
Soc. Netw. Anal. Min., December, 2023

2022
Towards more trustworthy predictions: A hybrid evidential movie recommender system.
J. Univers. Comput. Sci., 2022

System Level Recommender System for Academic Venue Personalization: Multi vs. Linked Domain.
Proceedings of the Knowledge Science, Engineering and Management, 2022

2021
Academic Venue Recommendation Based on Refined Cross Domain.
Proceedings of the Intelligent Systems Design and Applications, 2021

2020
Cross Domain Collaborative Filtering Recommender System for Academic Venue Personalization based on References.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

2019
Evidential link prediction in social networks based on structural and social information.
J. Comput. Sci., 2019

A worker clustering-based approach of label aggregation under the belief function theory.
Appl. Intell., 2019

An Evidential Clustering for Collaborative Filtering Based on Users' Preferences.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2019

An Evidential Semi-supervised Label Aggregation Approach.
Proceedings of the Knowledge Science, Engineering and Management, 2019

Joining Items Clustering and Users Clustering for Evidential Collaborative Filtering.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

An Evidential Imprecise Answer Aggregation Approach Based on Worker Clustering.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

2018
Evidential Multi-relational Link Prediction Based on Social Content.
Proceedings of the Foundations of Intelligent Systems - 24th International Symposium, 2018

A Group Recommender System for Academic Venue Personalization.
Proceedings of the Intelligent Systems Design and Applications, 2018

FAST Community Detection for Proteins Graph-Based Functional Classification.
Proceedings of the Intelligent Systems Design and Applications, 2018

An Evidential Collaborative Filtering Dealing with Sparsity Problem and Data Imperfections.
Proceedings of the Intelligent Systems Design and Applications, 2018

Imprecise Label Aggregation Approach Under the Belief Function Theory.
Proceedings of the Intelligent Systems Design and Applications, 2018

Towards a Hybrid User and Item-Based Collaborative Filtering Under the Belief Function Theory.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018

An Evidential Collaborative Filtering Approach Based on Items Contents Clustering.
Proceedings of the Belief Functions: Theory and Applications, 2018

2017
Toward intrusion detection using belief decision trees for big data.
Knowl. Inf. Syst., 2017

Exploring Location and Ranking for Academic Venue Recommendation.
Proceedings of the Intelligent Systems Design and Applications, 2017

Evidential Link Prediction in Uncertain Social Networks Based on Node Attributes.
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

A New User-Based Collaborative Filtering Under the Belief Function Theory.
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

A Gold Standards-Based Crowd Label Aggregation Within the Belief Function Theory.
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

Assessing Items Reliability for Collaborative Filtering Within the Belief Function Framework.
Proceedings of the Digital Economy. Emerging Technologies and Business Innovation, 2017

An Adaptive Approach of Label Aggregation Using a Belief Function Framework.
Proceedings of the Digital Economy. Emerging Technologies and Business Innovation, 2017

Evidential k-NN for Link Prediction.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017

A Clustering Approach for Collaborative Filtering Under the Belief Function Framework.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017

Iterative Aggregation of Crowdsourced Tasks Within the Belief Function Theory.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017

2016
Proactive and reactive e-government services recommendation.
Univers. Access Inf. Soc., 2016

Evidential Item-Based Collaborative Filtering.
Proceedings of the Knowledge Science, Engineering and Management, 2016

Crowd Label Aggregation Under a Belief Function Framework.
Proceedings of the Knowledge Science, Engineering and Management, 2016

An Evidential Method for Multi-relational Link Prediction in Uncertain Social Networks.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2016

Evidential Missing Link Prediction in Uncertain Social Networks.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016

Causal Belief Inference in Multiply Connected Networks.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016

2015
Community detection for graph-based similarity: Application to protein binding pockets classification.
Pattern Recognit. Lett., 2015

Evidential Link Prediction Based on Group Information.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2015

Inference in junction trees using the belief function theory.
Proceedings of the 15th International Conference on Intelligent Systems Design and Applications, 2015

The Link Prediction Problem under a Belief Function Framework.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Big Data Classification Using Belief Decision Trees: Application to Intrusion Detection.
Proceedings of the 1st International Conference on Advanced Intelligent System and Informatics, 2015

2014
Ascribing Causality from Observational and Interventional Belief Function Knowledge Modeling.
J. Multiple Valued Log. Soft Comput., 2014

Predicting Proteins Functional Family: A Graph-Based Similarity Derived from Community Detection.
Proceedings of the Intelligent Systems'2014, 2014

Representing Interventional Knowledge in Causal Belief Networks: Uncertain Conditional Distributions Per Cause.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

A Direct Propagation Method in Singly Connected Causal Belief Networks with Conditional Distributions for all Causes.
Proceedings of the Artificial Intelligence and Symbolic Computation, 2014

2013
Dealing with external actions in belief causal networks.
Int. J. Approx. Reason., 2013

Causal Belief Networks: Handling Uncertain Interventions.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2013

2012
From Acceptation Relations to Causality Ascription in a Belief Function Framework.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2012

Handling Interventions with Uncertain Consequences in Belief Causal Networks.
Proceedings of the Advances in Computational Intelligence, 2012

Ascribing Causality from Interventional Belief Function Knowledge.
Proceedings of the Belief Functions: Theory and Applications, 2012

2011
Representing Belief Function Knowledge with Graphical Models.
Proceedings of the Knowledge Science, Engineering and Management, 2011

Analyzing belief function networks with conditional beliefs.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Modeling Interventions Using Belief Causal Networks.
Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011

2009
Similarity Analysis of Protein Binding Sites: A Generalization of the Maximum Common Subgraph Measure Based on Quasi-Clique Detection.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009


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