Farid Nouioua

Orcid: 0000-0002-6505-9797

According to our database1, Farid Nouioua authored at least 54 papers between 2004 and 2024.

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

Timeline

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Bibliography

2024
Fast approach for link prediction in complex networks based on graph decomposition.
Evol. Syst., April, 2024

Discovering frequent parallel episodes in complex event sequences by counting distinct occurrences.
Appl. Intell., January, 2024

A survey of episode mining.
WIREs Data. Mining. Knowl. Discov., 2024

Efficient Machine Learning Approach for Diabetes Mellitus Disease Prediction.
Proceedings of the 6th International Conference on Pattern Analysis and Intelligent Systems, 2024

2023
Hiding sensitive frequent itemsets by item removal via two-level multi-objective optimization.
Appl. Intell., May, 2023

Argumentation frameworks with necessities and their relationship with logic programs.
Argument Comput., 2023

Heuristic approaches for hiding sensitive frequent itemsets in uncertain databases.
Proceedings of the 5th International Conference on Pattern Analysis and Intelligent Systems, 2023

Extracting Gradual Periodic Patterns from Transactional Databases: Application to Felonies and Misdemeanors Data.
Proceedings of the 5th International Conference on Pattern Analysis and Intelligent Systems, 2023

2022
MaxFEM: Mining Maximal Frequent Episodes in Complex Event Sequences.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2022

2021
Stability Analysis and Existence of Solutions for a Modified SIRD Model of COVID-19 with Fractional Derivatives.
Symmetry, 2021

Sequence Prediction using Partially-Ordered Episode Rules.
Proceedings of the 2021 International Conference on Data Mining, 2021

Mining Episode Rules from Event Sequences Under Non-overlapping Frequency.
Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021

Mining Partially-Ordered Episode Rules with the Head Support.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2021

TKQ: Top-K Quantitative High Utility Itemset Mining.
Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021

Mining Partially-Ordered Episode Rules in an Event Sequence.
Proceedings of the Intelligent Information and Database Systems - 13th Asian Conference, 2021

2020
An improved sine cosine algorithm to select features for text categorization.
J. King Saud Univ. Comput. Inf. Sci., 2020

2019
Fault Prediction in Fuzzy Discrete Event Systems: A Diagnoser Approach.
J. Digit. Inf. Manag., 2019

Multi-objective chicken swarm optimization: A novel algorithm for solving multi-objective optimization problems.
Comput. Ind. Eng., 2019

Work-in-Progress: The Use of Big Data and Data Analytics in the Prevention, the Diagnosis and the Monitoring of Long-Term Diseases.
Proceedings of the Internet of Things, Infrastructures and Mobile Applications - Proceedings of the 13th IMCL Conference, Thessaloniki, Greece, 31 October, 2019

2017
Uncertain lightweight ontologies in a product-based possibility theory framework.
Int. J. Approx. Reason., 2017

An argumentation system for defeasible reasoning.
Int. J. Approx. Reason., 2017

Predictability of fuzzy discrete event systems.
Discret. Event Dyn. Syst., 2017

An Integer 0-1 Linear Programming Approach for Computing Inconsistency Degree in Product-Based Possibilistic DL-Lite.
Proceedings of the Scalable Uncertainty Management - 11th International Conference, 2017

2016
Quantum-inspired firefly algorithm with particle swarm optimization for discrete optimization problems.
Soft Comput., 2016

An approach for emotions and behavior modeling in a crowd in the presence of rare events.
Adapt. Behav., 2016

\exists -ASP for Computing Repairs with Existential Ontologies.
Proceedings of the Scalable Uncertainty Management - 10th International Conference, 2016

Predictability in Probabilistic Discrete Event Systems.
Proceedings of the Soft Methods for Data Science, 2016

Representing Lightweight Ontologies in a Product-Based Possibility Theory Framework.
Proceedings of the Soft Methods for Data Science, 2016

Algorithms for Quantitative-Based Possibilistic Lightweight Ontologies.
Proceedings of the Trends in Applied Knowledge-Based Systems and Data Science, 2016

2015
Undercutting in Argumentation Systems.
Proceedings of the Scalable Uncertainty Management - 9th International Conference, 2015

A Predictability Algorithm for Distributed Discrete Event Systems.
Proceedings of the Formal Methods and Software Engineering, 2015

Dialogue Games for Argumentation Frameworks with Necessities.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015

2014
Removed Set-Based Revision of Abstract Argumentation Frameworks.
Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

2013
AFs with Necessities: Further Semantics and Labelling Characterization.
Proceedings of the Scalable Uncertainty Management - 7th International Conference, 2013

New structural measure for the ontology alignment.
Proceedings of the Intelligent Interactive Multimedia Systems and Services, 2013

Predictability analysis of distributed discrete event systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

New Ontological Alignment System Based on a Non-monotonic Description Logic.
Proceedings of the New Trends in Databases and Information Systems, 2013

2012
Generalizing Naive and Stable Semantics in Argumentation Frameworks with Necessities and Preferences.
Proceedings of the Scalable Uncertainty Management - 6th International Conference, 2012

A Reconstruction of Abstract Argumentation Admissible Semantics into Defaults and Answer Sets Programming.
Proceedings of the ICAART 2012 - Proceedings of the 4th International Conference on Agents and Artificial Intelligence, Volume 1, 2012

Handling Preferences in Argumentation Frameworks with Necessities.
Proceedings of the ICAART 2012 - Proceedings of the 4th International Conference on Agents and Artificial Intelligence, Volume 1, 2012

2011
Argumentation Frameworks with Necessities.
Proceedings of the Scalable Uncertainty Management - 5th International Conference, 2011

2010
Diagnosability verification with Petri net unfoldings.
Int. J. Knowl. Based Intell. Eng. Syst., 2010

Bipolar Argumentation Frameworks with Specialized Supports.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

2009
From the textual description of an accident to its causes.
Artif. Intell., 2009

2008
A Heuristic Approach to Order Events in Narrative Texts.
Proceedings of the 15th International Symposium on Temporal Representation and Reasoning, 2008

A Comparative Study of Six Formal Models of Causal Ascription.
Proceedings of the Scalable Uncertainty Management, Second International Conference, 2008

A probabilistic analysis of diagnosability in discrete event systems.
Proceedings of the ECAI 2008, 2008

2006
Raisonnement stratifié à base de normes pour inférer les causes dans un corpus textuel
CoRR, 2006

Norm Based Causal Reasoning in Textual Corpus
CoRR, 2006

Why did the accident happen? A norm-based reasoning approach
CoRR, 2006

Using Answer Set Programming in an Inference-Based approach to Natural Language Semantics
CoRR, 2006

Une expérience de sémantique inférentielle.
Proceedings of the Actes de la 13ème conférence sur le Traitement Automatique des Langues Naturelles. Articles longs, 2006

2005
About Norms and Causes.
Int. J. Artif. Intell. Tools, 2005

2004
Representing Knowledge about Norms.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004


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