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Mohammad Hossein Amirhosseini
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2020 – today
- 2025
[c12]Jelili Olalekan Alao, Mohammad Hossein Amirhosseini
, Amin Karami, Seyed Ali Ghorashi:
Harnessing Social Media Sentiment for Predictive Insights into the Nigerian Presidential Election. AICCONF 2025: 1-8
[c11]Mohammad Hossein Amirhosseini
, Amin Karami, Fatima Kalabi:
Advancing Personality Type Prediction: Utilizing Enhanced Machine and Deep Learning Models with the Myers-Briggs Type Indicator. AICCONF 2025: 1-8
[c10]Amin Karami, Mohammad Hossein Amirhosseini
:
WASPO: Workload-Aware Spark Performance Optimization Using NSGA-II. AICCONF 2025: 1-8
[c9]Indika Rajakaruna, Mohammad Hossein Amirhosseini
, Yang Li, Amin Karami, Deepa Jayakody Arachchillage:
AI-Driven Mortality Prediction in COVID-19 Patients Using Advanced Feature Selection. AICCONF 2025: 1-8
[c8]Mohammad Hossein Amirhosseini
, Nabeela Berardinelli, Kunal Gaikwad, Christian Eze Iwuchukwu, Mahmud Ahmed:
Integrated Sentiment and Emotion Analysis of the Ukraine-Russia Conflict Using Machine Learning and Transformer Models. DATA 2025: 191-202- 2024
[j6]Alireza Valizadeh
, Mohammad Hossein Amirhosseini
, Yousef Ghorbani:
Predictive precision in battery recycling: unveiling lithium battery recycling potential through machine learning. Comput. Chem. Eng. 183: 108623 (2024)
[j5]Alireza Valizadeh
, Mohammad Hossein Amirhosseini
:
Machine Learning in Lithium-Ion Battery: Applications, Challenges, and Future Trends. SN Comput. Sci. 5(6): 717 (2024)
[c7]Amin Karami, Setinaz Foroudi Ghasemabadi, Mohammad Hossein Amirhosseini
:
Breaking Down SEO Complexity: Bridging PCA and Bayesian-Optimized t-SNE. ICKG 2024: 159-166
[c6]Mohammad Hossein Amirhosseini, Adefemi Lawrence Ayodele, Amin Karami:
Prediction of Depression Severity and Personalised Risk Factors Using Machine Learning on Multimodal Data. IS 2024: 1-7
[c5]Avinash Khatri
, Jaswinder Lota, Prasanna Nepal, Mohammad Hossein Amirhosseini:
Utilising Machine Learning for Precise State-of-Charge Prediction in Li-Ion Batteries. IS 2024: 1-5
[c4]Indika Rajakaruna, Mohammad Hossein Amirhosseini
, Yang Li, Deepa Jayakody Arachchillage:
AI-Enhanced Prediction of Multi Organ Failure in COVID-19 Patients. IS 2024: 1-6- 2023
[j4]Mahdi Jelodari, Mohammad Hossein Amirhosseini
, Andrea Giraldez-Hayes:
An AI powered system to enhance self-reflection practice in coaching. Cogn. Comput. Syst. 5(4): 243-254 (2023)- 2022
[j3]Mohammad Hossein Amirhosseini
, Julie A. Wall
:
A Machine Learning Approach to Identify the Preferred Representational System of a Person. Multimodal Technol. Interact. 6(12): 112 (2022)
[c3]Hassan B. Kazemian, Mohammad Hossein Amirhosseini, Michael Phillips:
Application of Graph-Based Technique to Identity Resolution. AIAI (1) 2022: 471-482- 2020
[j2]Mohammad Hossein Amirhosseini
, Hassan B. Kazemian:
Machine Learning Approach to Personality Type Prediction Based on the Myers-Briggs Type Indicator®. Multimodal Technol. Interact. 4(1): 9 (2020)
[c2]Michael Phillips, Mohammad Hossein Amirhosseini, Hassan B. Kazemian:
A Rule and Graph-Based Approach for Targeted Identity Resolution on Policing Data. SSCI 2020: 2077-2083
2010 – 2019
- 2019
[j1]Mohammad Hossein Amirhosseini
, Hassan B. Kazemian:
Automating the process of identifying the preferred representational system in Neuro Linguistic Programming using Natural Language Processing. Cogn. Process. 20(2): 175-193 (2019)- 2018
[b1]Mohammad Hossein Amirhosseini:
Neuro linguistic programming automation for improvement of organisational performance. London Metropolitan University, UK, 2018
[c1]Mohammad Hossein Amirhosseini, Hassan B. Kazemian, Karim Ouazzane, Chris Chandler:
Natural Language Processing approach to NLP Meta model automation. IJCNN 2018: 1-8
Coauthor Index

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last updated on 2025-11-22 05:32 CET by the dblp team
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