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2020 – today
- 2024
[c24]Elouanes Khelifi, Amir Saki, Usef Faghihi:
Causal Deep Q Networks. IEA/AIE 2024: 254-264- [c23]Amir Saki, Usef Faghihi:
Exploring Simpson's Paradox Through the Lens of Fuzzy Causal Inference. IEA/AIE 2024: 503-515 - [i5]Usef Faghihi, Amir Saki:
Probabilistic Easy Variational Causal Effect. CoRR abs/2403.07745 (2024) - [i4]Amir Saki, Usef Faghihi:
Integrating Fuzzy Logic with Causal Inference: Enhancing the Pearl and Neyman-Rubin Methodologies. CoRR abs/2406.13731 (2024) - 2022
- [c22]Usef Faghihi, Cyrus Kalantarpour, Amir Saki:
Causal Probabilistic Based Variational Autoencoders Capable of Handling Noisy Inputs Using Fuzzy Logic Rules. SAI (2) 2022: 190-202 - [i3]Amir Saki, Usef Faghihi:
A Fundamental Probabilistic Fuzzy Logic Framework Suitable for Causal Reasoning. CoRR abs/2205.15016 (2022) - [i2]Usef Faghihi, Amir Saki:
Probabilistic Variational Causal Effect as A new Theory for Causal Reasoning. CoRR abs/2208.06269 (2022) - 2021
- [c21]Usef Faghihi, Cyrus Kalantarpour:
Using Deep Learning algorithms to detect the success or failure of the Electroconvulsive Therapy (ECT) sessions. FLAIRS 2021 - 2020
- [j7]Ryan James McCall, Stan Franklin, Usef Faghihi, Javier Snaider, Sean Kugele:
Artificial Motivation for Cognitive Software Agents. J. Artif. Gen. Intell. 11(1): 38-69 (2020) - [c20]Usef Faghihi, Serge Robert, Pierre Poirier, Youssef Barkaoui:
From Association to Reasoning, an Alternative to Pearls' Causal Reasoning. FLAIRS 2020: 521-524 - [c19]Serge Robert, Usef Faghihi, Youssef Barkaoui, Nadia Ghazzali:
Causality in Probabilistic Fuzzy Logic and Alternative Causes as Fuzzy Duals. ICCCI (CCIS Volume) 2020: 767-776
2010 – 2019
- 2016
- [c18]Philippe Fournier-Viger
, Jerry Chun-Wei Lin, Cheng-Wei Wu, Vincent S. Tseng, Usef Faghihi:
Mining Minimal High-Utility Itemsets. DEXA (1) 2016: 88-101 - [c17]Usef Faghihi, Donald Aguilar, David Chatman, Nicholas Gautier, Jeffrey Gholson, Justin Gholson, Melvin Lipka, Robert Dill, Philippe Fournier-Viger, Sioui Maldonado-Bouchard:
How to Apply Gamification Techniques to Design a Gaming Environment for Algebra Concepts. eLEOT 2016: 62-70 - 2014
- [c16]Usef Faghihi, Albert Brautigam, Kris Jorgenson, David Martin, Angela Brown, Elizabeth Measures, Sioui Maldonado-Bouchard:
How Gamification Applies for Educational Purpose Specially with College Algebra. BICA 2014: 182-187 - 2013
- [j6]Philippe Fournier-Viger, Roger Nkambou, Engelbert Mephu Nguifo, André Mayers, Usef Faghihi:
A Multiparadigm Intelligent Tutoring System for Robotic Arm Training. IEEE Trans. Learn. Technol. 6(4): 364-377 (2013) - [c15]Philippe Fournier-Viger, Espérance Mwamikazi, Ted Gueniche, Usef Faghihi:
MEIT: Memory Efficient Itemset Tree for Targeted Association Rule Mining. ADMA (2) 2013: 95-106 - 2012
- [j5]Philippe Fournier-Viger, Usef Faghihi, Roger Nkambou, Engelbert Mephu Nguifo:
CMRules: Mining sequential rules common to several sequences. Knowl. Based Syst. 25(1): 63-76 (2012) - [j4]Usef Faghihi, Philippe Fournier-Viger, Roger Nkambou:
A computational model for causal learning in cognitive agents. Knowl. Based Syst. 30: 48-56 (2012) - [c14]Philippe Fournier-Viger, Roger Nkambou, André Mayers, Engelbert Mephu Nguifo, Usef Faghihi:
Multi-paradigm Generation of Tutoring Feedback in Robotic Arm Manipulation Training. ITS 2012: 233-242 - 2011
- [j3]Usef Faghihi, Pierre Poirier, Philippe Fournier-Viger, Roger Nkambou:
Human-like learning in a conscious agent. J. Exp. Theor. Artif. Intell. 23(4): 497-528 (2011) - [j2]Usef Faghihi, Philippe Fournier-Viger, Roger Nkambou, Pierre Poirier:
Identifying Causes Helps a Tutoring System to Better Adapt to Learners duringTraining Sessions. J. Intell. Learn. Syst. Appl. 3(3): 139-154 (2011) - [c13]Usef Faghihi, Pierre Poirier, Othalia Larue:
Emotional Cognitive Architectures. ACII (1) 2011: 487-496 - [c12]Usef Faghihi, Philippe Fournier-Viger, Roger Nkambou:
A Cognitive Tutoring Agent with Episodic and Causal Learning Capabilities. AIED 2011: 72-80 - [c11]Usef Faghihi, Philippe Fournier-Viger, Roger Nkambou:
A Cognitive Tutoring Agent with Automatic Reasoning Capabilities. FLAIRS 2011 - [c10]Usef Faghihi, Philippe Fournier-Viger, Roger Nkambou:
Implementing an Efficient Causal Learning Mechanism in a Cognitive Tutoring Agent. IEA/AIE (2) 2011: 27-36 - [c9]Philippe Fournier-Viger, Roger Nkambou, André Mayers, Engelbert Mephu Nguifo, Usef Faghihi:
An Hybrid Expert Model to Support Tutoring Services in Robotic Arm Manipulations. MICAI (1) 2011: 478-489 - 2010
- [j1]Philippe Fournier-Viger, Usef Faghihi, Roger Nkambou, Engelbert Mephu Nguifo:
Exploiting Sequential Patterns Found in Users' Solutions and Virtual Tutor Behavior to Improve Assistance in ITS. J. Educ. Technol. Soc. 13(1): 13-24 (2010) - [c8]Philippe Fournier-Viger, Usef Faghihi, Roger Nkambou, Engelbert Mephu Nguifo:
CMRULES: An Efficient Algorithm for Mining Sequential Rules Common to Several Sequences. FLAIRS 2010 - [c7]Usef Faghihi, Philippe Fournier-Viger, Roger Nkambou, Pierre Poirier:
The Combination of a Causal and Emotional Learning Mechanism for an Improved Cognitive Tutoring Agent. IEA/AIE (2) 2010: 438-449
2000 – 2009
- 2009
- [c6]Usef Faghihi, Philippe Fournier-Viger, Roger Nkambou, Pierre Poirier:
A Generic Episodic Learning Model Implemented in a Cognitive Agent by Means of Temporal Pattern Mining. IEA/AIE 2009: 545-555 - [c5]Usef Faghihi, Philippe Fournier-Viger, Roger Nkambou, Pierre Poirier, André Mayers:
How Emotional Mechanism Helps Episodic Learning in a Cognitive Agent. IEEE IA 2009: 23-30 - [p1]Philippe Fournier-Viger, Roger Nkambou, Usef Faghihi, Engelbert Mephu Nguifo:
Mining Temporal Patterns to Improve Agents Behavior: Two Case Studies. Data Mining and Multi-agent Integration 2009: 77-92 - [i1]Usef Faghihi, Philippe Fournier-Viger, Roger Nkambou, Pierre Poirier, André Mayers:
How Emotional Mechanism Helps Episodic Learning in a Cognitive Agent. CoRR abs/0901.4963 (2009) - 2008
- [c4]Usef Faghihi, Pierre Poirier, Daniel Dubois, Mohamed Gaha:
A New Emotional Architecture for Cognitive Tutoring Agents. FLAIRS 2008: 445-446 - [c3]Usef Faghihi, Pierre Poirier, Daniel Dubois, Roger Nkambou:
How Emotional Mechanism Learn and Helps Other Types of Learning in a Cognitive Agent. Web Intelligence/IAT Workshops 2008: 606-611 - 2007
- [c2]Usef Faghihi, Daniel Dubois, Roger Nkambou:
Learning Mechanisms for a Tutoring Cognitive Agent. ICALT 2007: 546-547 - [c1]Usef Faghihi, Daniel Dubois, Mohamed Gaha, Roger Nkambou:
Human-Like Learning Methods for a "Conscious" Agent. ICIC (3) 2007: 1327-1336
Coauthor Index
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