Karim Tabia

Orcid: 0000-0002-8632-3980

According to our database1, Karim Tabia authored at least 93 papers between 2005 and 2024.

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Bibliography

2024
Machine learning for predicting off-block delays: A case study at Paris - Charles de Gaulle International Airport.
Data Knowl. Eng., 2024

On Handling Concept Drift, Calibration and Explainability in Non-Stationary Environments and Resources Limited Contexts.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2023
Special journal issue on Uncertainty, Heterogeneity, Reliability and Explainability in AI.
Int. J. Approx. Reason., November, 2023

Predicting Off-Block Delays: A Case Study at Paris - Charles de Gaulle International Airport.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

Symbolic Explanations for Multi-Label Classification.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

JCPC : Approche de calibration des probabilités des classifieurs basée sur la règle de Jeffrey.
Proceedings of the Extraction et Gestion des Connaissances, 2023

Prédire et expliquer les retards au décollage : Une étude de cas à l'aéroport international de Paris - Charles de Gaulle.
Proceedings of the Extraction et Gestion des Connaissances, 2023

Anomaly Detection in Real Scarce Data: A Case Study on Monitoring Elderly's Physical Activity and Sleep.
Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023

2022
A Model-Agnostic SAT-based Approach for Symbolic Explanation Enumeration.
CoRR, 2022

Towards an FCA-Based Approach for Explaining Multi-label Classification.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2022

Classifier Probability Calibration Through Uncertain Information Revision.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2022

Representing Vietnamese Traditional Dances and Handling Inconsistent Information.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2022

Updating Probability Intervals with Uncertain Inputs.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
ASTERYX: A model-Agnostic SaT-basEd appRoach for sYmbolic and score-based eXplanations.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Possibilistic Networks: Computational Analysis of MAP and MPE Inference.
Int. J. Artif. Intell. Tools, 2020

A Symbolic Approach for Counterfactual Explanations.
Proceedings of the Scalable Uncertainty Management - 14th International Conference, 2020

Smart Home for Seniors: Opportunities and Challenges for AI.
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

An Ontology-based Approach for Building and Querying ICH Video Datasets.
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

Belief Graphical Models for Uncertainty Representation and Reasoning.
Proceedings of the A Guided Tour of Artificial Intelligence Research: Volume II: AI Algorithms, 2020

2019
On the Detection of Video's Ethnic Vietnamese Thai Dance Movements.
Proceedings of the 15th International Conference on Signal-Image Technology & Internet-Based Systems, 2019

An Ontology Web Application-based Annotation Tool for Intangible Culture Heritage Dance Videos.
Proceedings of the 1st Workshop on Structuring and Understanding of Multimedia heritAge Contents, 2019

Towards Explainable Multi-Label Classification.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Query Answering from Traditional Dance Videos: Case Study of Zapin Dances.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

An Automatic Extraction Tool for Ethnic Vietnamese Thai Dances Concepts.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Stacking of SVMs for Classifying Intangible Cultural Heritage Images.
Proceedings of the Advanced Computational Methods for Knowledge Engineering, 2019

A complexity analysis of MPE inference in possibilistic networks.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

Contributions to Reasoning under uncertainty in a Possibilistic Setting.
, 2019

2018
Qualitative conditioning in an interval-based possibilistic setting.
Fuzzy Sets Syst., 2018

Handling Capabilities in Security Policies.
Proceedings of the 17th IEEE International Conference On Trust, 2018

An Ontology-based Modelling of Vietnamese Traditional Dances (S).
Proceedings of the 30th International Conference on Software Engineering and Knowledge Engineering, 2018

Data Analytics and Visualization for Connected Objects: A Case Study for Sleep and Physical Activity Trackers.
Proceedings of the Recent Trends and Future Technology in Applied Intelligence, 2018

Possibilistic Networks: MAP Query and Computational Analysis.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Special Track on Uncertain Reasoning.
Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018

Analysis of Jeffrey's Rule of Conditioning in an Imprecise Probabilistic Setting.
Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018

2017
Polynomial Algorithms for Computing a Single Preferred Assertional-Based Repair.
Künstliche Intell., 2017

Intelligence Systems: Trends and Challenges.
AI Mag., 2017

Dance Training Tool Using Kinect-Based Skeleton Tracking and Evaluating Dancer's Performance.
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

Annotating Movement Phrases in Vietnamese Folk Dance Videos.
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

Approximating MAP Inference in Credal Networks Using Probability-Possibility Transformations.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Learning the Parameters of Possibilistic Networks from Data: Empirical Comparison.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

2016
Possibilistic Graphical Models for Uncertainty Modeling.
Proceedings of the Scalable Uncertainty Management - 10th International Conference, 2016

Characterizing Non-Defeated Repairs in Inconsistent Lightweight Ontologies.
Proceedings of the 12th International Conference on Signal-Image Technology & Internet-Based Systems, 2016

Integrating non elementary actions in access control models.
Proceedings of the 9th International Conference on Security of Information and Networks, 2016

A General Modifier-Based Framework for Inconsistency-Tolerant Query Answering.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fifteenth International Conference, 2016

Inconsistency-Tolerant Query Answering: Rationality Properties and Computational Complexity Analysis.
Proceedings of the Logics in Artificial Intelligence - 15th European Conference, 2016

Non-Objection Inference for Inconsistency-Tolerant Query Answering.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Representing sequences of actions in access control security policies.
Proceedings of the 1st International Workshop on AI for Privacy and Security, 2016

Set-Valued Conditioning in a Possibility Theory Setting.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015
Probability-Possibility Transformations: Application to Credal Networks.
Proceedings of the Scalable Uncertainty Management - 9th International Conference, 2015

Compatible-Based Conditioning in Interval-Based Possibilistic Logic.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

How to Select One Preferred Assertional-Based Repair from Inconsistent and Prioritized DL-Lite Knowledge Bases?
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

On the Normalization of Interval-Based Possibility Distributions.
Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

Non Defeated-Based Repair in Possibilistic DL-Lite Knowledge Bases.
Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

On the Analysis of Probability-Possibility Transformations: Changing Operations and Graphical Models.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015

2014
Interval-Based Possibilistic Networks.
Proceedings of the Scalable Uncertainty Management - 8th International Conference, 2014

On the Revision of Prioritized DL-Lite Knowledge Bases.
Proceedings of the Scalable Uncertainty Management - 8th International Conference, 2014

Reasoning with Uncertain Inputs in Possibilistic Networks.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fourteenth International Conference, 2014

Symétries et Extraction de Motifs Ensemblistes.
Proceedings of the 14èmes Journées Francophones Extraction et Gestion des Connaissances, 2014

Post-processing a classifier's predictions: Strategies and empirical evaluation.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Analysis of interval-based possibilistic networks.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

2013
An intrusion detection and alert correlation approach based on revising probabilistic classifiers using expert knowledge.
Appl. Intell., 2013

Symmetry-Based Pruning in Itemset Mining.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

Three-Valued Possibilistic Networks: Semantics & Inference.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

Cryptanalysis of a chaos-based encryption algorithm for distributed systems.
Proceedings of the 8th International Conference for Internet Technology and Secured Transactions, 2013

2012
Inference in possibilistic network classifiers under uncertain observations.
Ann. Math. Artif. Intell., 2012

Revising the Outputs of a Decision Tree with Expert Knowledge: Application to Intrusion Detection and Alert Correlation.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

Symmetries in Itemset Mining.
Proceedings of the ECAI 2012, 2012

Three-valued possibilistic networks.
Proceedings of the ECAI 2012, 2012

2011
Alert correlation: Severe attack prediction and controlling false alarm rate tradeoffs.
Intell. Data Anal., 2011

Jeffrey's rule of conditioning in a possibilistic framework - An analysis of the existence and uniqueness of the solution.
Ann. Math. Artif. Intell., 2011

Possibilistic Network-Based Classifiers: On the Reject Option and Concept Drift Issues.
Proceedings of the Scalable Uncertainty Management - 5th International Conference, 2011

2010
On the Use of Naive Bayesian Classifiers for Detecting Elementary and Coordinated Attacks.
Fundam. Informaticae, 2010

Handling IDS' Reliability in Alert Correlation - A Bayesian Network-based Model for Handling IDS's Reliability and Controlling Prediction/False Alarm Rate Tradeoffs.
Proceedings of the SECRYPT 2010, 2010

Belief Change in OCF-Based Networks in Presence of Sequences of Observations and Interventions: Application to Alert Correlation.
Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010

On analysis of unicity of Jeffrey's rule of conditioning in a probabilistic framework.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2010

Bayesian Network-Based Approaches for Severe Attack Prediction and Handling IDSs' Reliability.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2010

Min-based causal possibilistic networks: Handling interventions and analyzing the possibilistic counterpart of Jeffrey's rule of conditioning.
Proceedings of the ECAI 2010, 2010

Belief Revision of Product-Based Causal Possibilistic Networks.
Proceedings of the Advances in Artificial Intelligence, 2010

2009
Binary naive possibilistic classifiers: Handling uncertain inputs.
Int. J. Intell. Syst., 2009

Classification with Uncertain Observations Using Possibilistic Networks.
Proceedings of the ICTAI 2009, 2009

On the Use of Min-Based Revision Under Uncertain Evidence for Possibilistic Classifiers.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

2008
An Efficient Algorithm for Naive Possibilistic Classifiers with Uncertain Inputs.
Proceedings of the Scalable Uncertainty Management, Second International Conference, 2008

New Schemes for Anomaly Score Aggregation and Thresholding.
Proceedings of the SECRYPT 2008, 2008

Novel and Anomalous Behavior Detection using Bayesian Network Classifiers.
Proceedings of the SECRYPT 2008, 2008

Classification features for detecting Server-side and Client-side Web attacks.
Proceedings of The IFIP TC-11 23rd International Information Security Conference, 2008

A two-stage aggregation/thresholding scheme for multi-model anomaly-based approaches.
Proceedings of the LCN 2008, 2008

Anomaly Detection Using Behavioral Approaches.
Proceedings of the Software and Data Technologies - Third International Conference, 2008

On the Detection of Novel Attacks Using Behavioral Approaches.
Proceedings of the ICSOFT 2008, 2008

On the Use of Decision Trees as Behavioral Approaches in Intrusion Detection.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Aggregation and Thresholding Schemes for Anomaly-Based Approaches.
Proceedings of the e-Business and Telecommunications - International Conference, 2008

Integrating Anomaly-Based Approach into Bayesian Network Classifiers.
Proceedings of the e-Business and Telecommunications - International Conference, 2008

Context-based Profiling for Anomaly Intrusion Detection with Diagnosis.
Proceedings of the The Third International Conference on Availability, 2008

2005
On the combination of naive Bayes and decision trees for intrusion detection.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005


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