Usef Faghihi

According to our database, Usef Faghihi authored at least 36 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Integrating Fuzzy Logic with Causal Inference: Enhancing the Pearl and Neyman-Rubin Methodologies.

Amir Saki, Usef Faghihi

CoRR, 2024

Probabilistic Easy Variational Causal Effect.

Usef Faghihi, Amir Saki

CoRR, 2024

Exploring Simpson's Paradox Through the Lens of Fuzzy Causal Inference.

Amir Saki, Usef Faghihi

Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2024

Causal Deep Q Networks.

Elouanes Khelifi, Amir Saki, Usef Faghihi

Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2024

2022

Probabilistic Variational Causal Effect as A new Theory for Causal Reasoning.

Usef Faghihi, Amir Saki

CoRR, 2022

A Fundamental Probabilistic Fuzzy Logic Framework Suitable for Causal Reasoning.

Amir Saki, Usef Faghihi

CoRR, 2022

Causal Probabilistic Based Variational Autoencoders Capable of Handling Noisy Inputs Using Fuzzy Logic Rules.

Usef Faghihi, Cyrus Kalantarpour, Amir Saki

Proceedings of the Intelligent Computing, 2022

2021

Using Deep Learning algorithms to detect the success or failure of the Electroconvulsive Therapy (ECT) sessions.

Usef Faghihi, Cyrus Kalantarpour

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

2020

Artificial Motivation for Cognitive Software Agents.

Ryan James McCall, Stan Franklin, Usef Faghihi, Javier Snaider, Sean Kugele

J. Artif. Gen. Intell., 2020

Causality in Probabilistic Fuzzy Logic and Alternative Causes as Fuzzy Duals.

Serge Robert, Usef Faghihi, Youssef Barkaoui, Nadia Ghazzali

Proceedings of the Advances in Computational Collective Intelligence, 2020

From Association to Reasoning, an Alternative to Pearls' Causal Reasoning.

Usef Faghihi, Serge Robert, Pierre Poirier, Youssef Barkaoui

Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

2016

How to Apply Gamification Techniques to Design a Gaming Environment for Algebra Concepts.

Usef Faghihi, Donald Aguilar, David Chatman, Nicholas Gautier, Jeffrey Gholson, Justin Gholson, Melvin Lipka, Robert Dill, Philippe Fournier-Viger, Sioui Maldonado-Bouchard

Proceedings of the E-Learning, E-Education, and Online Training, 2016

Mining Minimal High-Utility Itemsets.

Philippe Fournier-Viger, Jerry Chun-Wei Lin, Cheng-Wei Wu, Vincent S. Tseng, Usef Faghihi

Proceedings of the Database and Expert Systems Applications, 2016

2014

How Gamification Applies for Educational Purpose Specially with College Algebra.

Usef Faghihi, Albert Brautigam, Kris Jorgenson, David Martin, Angela Brown, Elizabeth Measures, Sioui Maldonado-Bouchard

Proceedings of the 5th Annual International Conference on Biologically Inspired Cognitive Architectures, 2014

2013

A Multiparadigm Intelligent Tutoring System for Robotic Arm Training.

Philippe Fournier-Viger, Roger Nkambou, Engelbert Mephu Nguifo, André Mayers, Usef Faghihi

IEEE Trans. Learn. Technol., 2013

MEIT: Memory Efficient Itemset Tree for Targeted Association Rule Mining.

Philippe Fournier-Viger, Espérance Mwamikazi, Ted Gueniche, Usef Faghihi

Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013

2012

CMRules: Mining sequential rules common to several sequences.

Philippe Fournier-Viger, Usef Faghihi, Roger Nkambou, Engelbert Mephu Nguifo

Knowl. Based Syst., 2012

A computational model for causal learning in cognitive agents.

Usef Faghihi, Philippe Fournier-Viger, Roger Nkambou

Knowl. Based Syst., 2012

Multi-paradigm Generation of Tutoring Feedback in Robotic Arm Manipulation Training.

Philippe Fournier-Viger, Roger Nkambou, André Mayers, Engelbert Mephu Nguifo, Usef Faghihi

Proceedings of the Intelligent Tutoring Systems - 11th International Conference, 2012

2011

Identifying Causes Helps a Tutoring System to Better Adapt to Learners duringTraining Sessions.

Usef Faghihi, Philippe Fournier-Viger, Roger Nkambou, Pierre Poirier

J. Intell. Learn. Syst. Appl., 2011

Human-like learning in a conscious agent.

Usef Faghihi, Pierre Poirier, Philippe Fournier-Viger, Roger Nkambou

J. Exp. Theor. Artif. Intell., 2011

An Hybrid Expert Model to Support Tutoring Services in Robotic Arm Manipulations.

Philippe Fournier-Viger, Roger Nkambou, André Mayers, Engelbert Mephu Nguifo, Usef Faghihi

Proceedings of the Advances in Artificial Intelligence, 2011

Implementing an Efficient Causal Learning Mechanism in a Cognitive Tutoring Agent.

Usef Faghihi, Philippe Fournier-Viger, Roger Nkambou

Proceedings of the Modern Approaches in Applied Intelligence, 2011

A Cognitive Tutoring Agent with Automatic Reasoning Capabilities.

Usef Faghihi, Philippe Fournier-Viger, Roger Nkambou

Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011

A Cognitive Tutoring Agent with Episodic and Causal Learning Capabilities.

Usef Faghihi, Philippe Fournier-Viger, Roger Nkambou

Proceedings of the Artificial Intelligence in Education - 15th International Conference, 2011

Emotional Cognitive Architectures.

Usef Faghihi, Pierre Poirier, Othalia Larue

Proceedings of the Affective Computing and Intelligent Interaction, 2011

2010

Exploiting Sequential Patterns Found in Users' Solutions and Virtual Tutor Behavior to Improve Assistance in ITS.

Philippe Fournier-Viger, Usef Faghihi, Roger Nkambou, Engelbert Mephu Nguifo

J. Educ. Technol. Soc., 2010

The Combination of a Causal and Emotional Learning Mechanism for an Improved Cognitive Tutoring Agent.

Usef Faghihi, Philippe Fournier-Viger, Roger Nkambou, Pierre Poirier

Proceedings of the Trends in Applied Intelligent Systems, 2010

CMRULES: An Efficient Algorithm for Mining Sequential Rules Common to Several Sequences.

Philippe Fournier-Viger, Usef Faghihi, Roger Nkambou, Engelbert Mephu Nguifo

Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010

2009

How Emotional Mechanism Helps Episodic Learning in a Cognitive Agent.

Usef Faghihi, Philippe Fournier-Viger, Roger Nkambou, Pierre Poirier, André Mayers

Proceedings of the IEEE Symposium on Intelligent Agents, IA 2009, part of the IEEE Symposium Series on Computational Intelligence 2009, Nashville, TN, USA, March 30, 2009, 2009

A Generic Episodic Learning Model Implemented in a Cognitive Agent by Means of Temporal Pattern Mining.

Usef Faghihi, Philippe Fournier-Viger, Roger Nkambou, Pierre Poirier

Proceedings of the Next-Generation Applied Intelligence, 2009

Mining Temporal Patterns to Improve Agents Behavior: Two Case Studies.

Philippe Fournier-Viger, Roger Nkambou, Usef Faghihi, Engelbert Mephu Nguifo

Proceedings of the Data Mining and Multi-agent Integration, 2009

2008

How Emotional Mechanism Learn and Helps Other Types of Learning in a Cognitive Agent.

Usef Faghihi, Pierre Poirier, Daniel Dubois, Roger Nkambou

Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008

A New Emotional Architecture for Cognitive Tutoring Agents.

Usef Faghihi, Pierre Poirier, Daniel Dubois, Mohamed Gaha

Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

2007

Human-Like Learning Methods for a "Conscious" Agent.

Usef Faghihi, Daniel Dubois, Mohamed Gaha, Roger Nkambou

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, 2007

Learning Mechanisms for a Tutoring Cognitive Agent.

Usef Faghihi, Daniel Dubois, Roger Nkambou

Proceedings of the 7th IEEE International Conference on Advanced Learning Technologies, 2007