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Oussama H. Hamid
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2020 – today
- 2024
- [c13]Oussama H. Hamid:
Beyond Probabilities: Unveiling the Delicate Dance of Large Language Models (LLMs) and AI-Hallucination. CogSIMA 2024: 85-90 - 2022
- [c12]Oussama H. Hamid:
There Is More to AI than Meets the Eye: Aligning Man-made Algorithms with Nature-inspired Mechanisms. AICCSA 2022: 1-4
2010 – 2019
- 2018
- [c11]Norris Lee Smith, Jirunya Teerawanit, Oussama H. Hamid:
AI-Driven Automation in a Human-Centered Cyber World. SMC 2018: 3255-3260 - 2017
- [c10]Oussama H. Hamid, Jochen Braun:
Reinforcement Learning and Attractor Neural Network Models of Associative Learning. IJCCI (Selected Papers) 2017: 327-349 - [c9]Oussama H. Hamid, Jochen Braun:
Attractor Neural States: A Brain-Inspired Complementary Approach to Reinforcement Learning. IJCCI 2017: 385-392 - [c8]Hoba H. Bakr, Nawzad K. Al-Salihi, Oussama H. Hamid:
A Neuro-Fuzzy Sugeno-Style HVAC Control System for Balancing Thermal Comfort and Energy Consumption. IJCCI 2017: 419-426 - [c7]Norris Lee Smith, Oussama H. Hamid:
The Relative Importance of Perception, Embodiment, Metaphors, and Ethics for Cooperative Human-Machine Coexistence. IJCCI 2017: 429-435 - [c6]Hossein Hassani, Oussama H. Hamid:
Using Artificial Neural Networks in Dialect Identification in Less-resourced Languages - The Case of Kurdish Dialects Identification. IJCCI 2017: 443-448 - [c5]Oussama H. Hamid, Norris Lee Smith, Amin Barzanji:
Automation, per se, is not job elimination: How artificial intelligence forwards cooperative human-machine coexistence. INDIN 2017: 899-904 - 2015
- [j2]Oussama H. Hamid:
A model-based markovian context-dependent reinforcement learning approach for neurobiologically plausible transfer of experience. Int. J. Hybrid Intell. Syst. 12(2): 119-129 (2015) - [c4]Ayman El Samad, Oussama H. Hamid:
The role of socio-economic disparities in varying the viewing behavior of e-learners. DICTAP 2015: 74-79 - [c3]Oussama H. Hamid, Fatemah H. Alaiwy, Intisar O. Hussien:
Uncovering cognitive influences on individualized learning using a hidden Markov models framework. GSCIT 2015: 1-6 - 2014
- [c2]Oussama H. Hamid:
The role of temporal statistics in the transfer of experience in context-dependent reinforcement learning. HIS 2014: 123-128 - 2011
- [c1]Stefan Glüge, Oussama H. Hamid, Jochen Braun, Andreas Wendemuth:
A Markov Model of Conditional Associative Learning in a Cognitive Behavioural Scenario. IWINAC (1) 2011: 10-19 - 2010
- [j1]Stefan Glüge, Oussama H. Hamid, Andreas Wendemuth:
A Simple Recurrent Network for Implicit Learning of Temporal Sequences. Cogn. Comput. 2(4): 265-271 (2010)
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