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ORCIDShahab Saquib Sohail
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- affiliation: VIT Bhopal University, India
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2020 – today
- 2025
[j18]Shahab Saquib Sohail
, Yassine Himeur, Hamza Kheddar, Abbes Amira, Fodil Fadli, Shadi Atalla, Abigail Copiaco, Wathiq Mansoor:
Advancing 3D point cloud understanding through deep transfer learning: A comprehensive survey. Inf. Fusion 113: 102601 (2025)- [j17]Mohammad Nadeem, Shahab Saquib Sohail, Dag Øivind Madsen, Ahmed Ibrahim Alzahrani, Javier Del Ser, Khan Muhammad:
A Multi-Modal Assessment Framework for Comparison of Specialized Deep Learning and General-Purpose Large Language Models. IEEE Trans. Big Data 11(3): 1001-1012 (2025) - [i10]Mohammad Nadeem, Shahab Saquib Sohail, Erik Cambria, Björn W. Schuller, Amir Hussain:
Gender Bias in Text-to-Video Generation Models: A case study of Sora. CoRR abs/2501.01987 (2025) - [i9]Tabinda Aman, Mohammad Nadeem, Shahab Saquib Sohail, Mohammad Anas, Erik Cambria:
Owls are wise and foxes are unfaithful: Uncovering animal stereotypes in vision-language models. CoRR abs/2501.12433 (2025) - 2024
- [j16]Oussama Kerdjidj, Yassine Himeur, Shahab Saquib Sohail, Abbes Amira, Fodil Fadli, Shadi Atalla, Wathiq Mansoor, Abigail Copiaco, Amjad Gawanmeh, Sami Miniaoui, Diana Dawoud:
Uncovering the Potential of Indoor Localization: Role of Deep and Transfer Learning. IEEE Access 12: 73980-74010 (2024) - [j15]Mohammad Nadeem, Shahab Saquib Sohail, Laeeba Javed, Faisal Anwer, Abdul Khader Jilani Saudagar, Khan Muhammad:
Vision-Enabled Large Language and Deep Learning Models for Image-Based Emotion Recognition. Cogn. Comput. 16(5): 2566-2579 (2024) - [j14]Mohammad Anas, Anam Saiyeda, Shahab Saquib Sohail, Erik Cambria, Amir Hussain:
Can Generative AI Models Extract Deeper Sentiments as Compared to Traditional Deep Learning Algorithms? IEEE Intell. Syst. 39(2): 5-10 (2024) - [j13]Mohammad Nadeem, Laeeba Javed, Shahab Saquib Sohail, Erik Cambria, Amir Hussain:
Are Foundation Models the Next-Generation Social Media Content Moderators? IEEE Intell. Syst. 39(6): 70-80 (2024) - [c12]Md. Tauseef Qamar, Shahab Saquib Sohail, Gunjan Ansari, Chandni Saxena:
The Language of Nuance: Exploring the Limits of Large Language Models in Handling Ambiguity. BDA (Astronomy, Science, and Engineering) 2024: 180-192 - [c11]Abdul Rahman, Shahab Saquib Sohail, Mohammad Sultan Alam, Anil Sharma, Wathiq Mansoor:
Detecting Brain Cancer Using Explainable AI. ICSPIS 2024: 1-6 - [i8]Shahab Saquib Sohail, Yassine Himeur, Hamza Kheddar, Abbes Amira, Fodil Fadli, Shadi Atalla, Abigail Copiaco, Wathiq Mansoor:
Advancing 3D Point Cloud Understanding through Deep Transfer Learning: A Comprehensive Survey. CoRR abs/2407.17877 (2024) - [i7]Mohammad Nadeem, Shahab Saquib Sohail, Erik Cambria, Björn W. Schuller, Amir Hussain:
Negation Blindness in Large Language Models: Unveiling the NO Syndrome in Image Generation. CoRR abs/2409.00105 (2024) - 2023
- [j12]Reyazur Rashid Irshad, Shahab Saquib Sohail, Shahid Hussain, Dag Øivind Madsen, Mohammed Altaf Ahmed, Ahmed Abdu Alattab, Omar Ali Saleh Alsaiari, Khalid Ahmed Abdallah Norain, Abdallah Ahmed Alzupair Ahmed:
A Multi-Objective Bee Foraging Learning-Based Particle Swarm Optimization Algorithm for Enhancing the Security of Healthcare Data in Cloud System. IEEE Access 11: 113410-113421 (2023) - [j11]Abigail Copiaco, Yassine Himeur, Abbes Amira, Wathiq Mansoor, Fodil Fadli, Shadi Atalla, Shahab Saquib Sohail:
An innovative deep anomaly detection of building energy consumption using energy time-series images. Eng. Appl. Artif. Intell. 119: 105775 (2023) - [j10]Faiza Farhat, Shahab Saquib Sohail, Mohammed Talha Alam, Syed Ubaid, Shakil, Mohd Ashhad, Dag Øivind Madsen:
COVID-19 and beyond: leveraging artificial intelligence for enhanced outbreak control. Frontiers Artif. Intell. 6 (2023) - [j9]Faiza Farhat, Emmanuel Sirimal Silva, Hossein Hassani, Dag Øivind Madsen, Shahab Saquib Sohail, Yassine Himeur, M. Afshar Alam, Aasim Zafar:
The scholarly footprint of ChatGPT: a bibliometric analysis of the early outbreak phase. Frontiers Artif. Intell. 6 (2023) - [j8]Shahab Saquib Sohail, Dag Øivind Madsen, Yassine Himeur, Maheen Ashraf:
Using ChatGPT to navigate ambivalent and contradictory research findings on artificial intelligence. Frontiers Artif. Intell. 6 (2023) - [j7]Naveed Jeelani Khan, Gulfam Ahamad, Mohd Naseem, Shahab Saquib Sohail:
Computational efficiency in sports talent identification - a systematic review. Int. J. Appl. Decis. Sci. 16(3): 358-384 (2023) - [j6]Shahab Saquib Sohail, Faiza Farhat, Yassine Himeur, Mohammad Nadeem, Dag Øivind Madsen, Yashbir Singh, Shadi Atalla, Wathiq Mansoor:
Decoding ChatGPT: A taxonomy of existing research, current challenges, and possible future directions. J. King Saud Univ. Comput. Inf. Sci. 35(8): 101675 (2023) - [j5]Reyazur Rashid Irshad, Shahid Hussain, Shahab Saquib Sohail, Abu Sarwar Zamani, Dag Øivind Madsen, Ahmed Abdu Alattab, Abdallah Ahmed Alzupair Ahmed, Khalid Ahmed Abdallah Norain, Omar Ali Saleh Alsaiari:
A Novel IoT-Enabled Healthcare Monitoring Framework and Improved Grey Wolf Optimization Algorithm-Based Deep Convolution Neural Network Model for Early Diagnosis of Lung Cancer. Sensors 23(6): 2932 (2023) - [j4]Qazi Mohammad Areeb, Mohammad Nadeem, Shahab Saquib Sohail, Raza Imam, Faiyaz Doctor, Yassine Himeur, Amir Hussain, Abbes Amira:
Filter bubbles in recommender systems: Fact or fallacy - A systematic review. WIREs Data. Mining. Knowl. Discov. 13(6) (2023) - [c10]Oussama Kerdjidj, Yassine Himeur, Shadi Atalla, Abigail Copiaco, Shahab Saquib Sohail, Fodil Fadli, Abbes Amira, Wathiq Mansoor, Amjad Gawanmeh:
Exploring 2D Representation and Transfer Learning Techniques for People Identification in Indoor Localization. ICSPIS 2023: 173-177 - [i6]Qazi Mohammad Areeb, Mohammad Nadeem, Shahab Saquib Sohail, Raza Imam, Faiyaz Doctor, Yassine Himeur, Amir Hussain, Abbes Amira:
Filter Bubbles in Recommender Systems: Fact or Fallacy - A Systematic Review. CoRR abs/2307.01221 (2023) - [i5]Shahab Saquib Sohail, Faiza Farhat, Yassine Himeur, Mohammad Nadeem, Dag Øivind Madsen, Yashbir Singh, Shadi Atalla, Wathiq Mansoor:
Decoding ChatGPT: A Taxonomy of Existing Research, Current Challenges, and Possible Future Directions. CoRR abs/2307.14107 (2023) - 2022
- [j3]Yassine Himeur, Shahab Saquib Sohail, Faycal Bensaali, Abbes Amira, Mamoun Alazab:
Latest trends of security and privacy in recommender systems: A comprehensive review and future perspectives. Comput. Secur. 118: 102746 (2022) - [c9]Abdullah Ajaz Siddiqui, Shahab Saquib Sohail, Qazi Areeb, Wathiq Mansoor, Md. Tabrez Nafis:
Classification of Cumin, Fennel and Carom Using Transfer Learning. ICSPIS 2022: 46-49 - [c8]Shadi Atalla, Yassine Himeur, Wathiq Mansoor, Abbes Amira, Fodil Fadli, Abigail Copiaco, Shahab Saquib Sohail:
Recommendation System Towards Residential Energy Saving Based on Anomaly Detection. ICSPIS 2022: 169-174 - 2021
- [c7]Shakil, Muhammad Arif, Shahab Saquib Sohail, Mohammed Talha Alam, Syed Ubaid, Md. Tabrez Nafis, Guojun Wang:
Towards a Two-Tier Architecture for Privacy-Enabled Recommender Systems (PeRS). UbiSec 2021: 268-278 - [i4]Shahab Saquib Sohail, Jamshed Siddiqui, Rashid Ali, Syed Hamid Hasan, M. Afshar Alam:
Can we aggregate human intelligence? an approach for human centric aggregation using ordered weighted averaging operators. CoRR abs/2105.00199 (2021) - [i3]Shahab Saquib Sohail, Mohammad Muzammil Khan, M. Afshar Alam:
An Analysis of Twitter Users From The Perspective of Their Behavior, Language, Region and Development Indices - A Study of 80 Million Tweets. CoRR abs/2105.10245 (2021) - [i2]Shahab Saquib Sohail, Mohammad Muzammil Khan, Mohd Arsalan, Aslam Khan, Jamshed Siddiqui, Syed Hamid Hasan, M. Afshar Alam:
Crawling Twitter data through API: A technical/legal perspective. CoRR abs/2105.10724 (2021) - [i1]Mohammad Muzammil Khan, Shahab Saquib Sohail, Darakhshan Ishrat:
How They Tweet? An Insightful Analysis of Twitter Handles of Saudi Arabia. CoRR abs/2105.10736 (2021) - 2020
- [j2]Khalid Anwar, Jamshed Siddiqui, Shahab Saquib Sohail:
Machine learning-based book recommender system: a survey and new perspectives. Int. J. Intell. Inf. Database Syst. 13(2/3/4): 231-248 (2020)
2010 – 2019
- 2018
- [j1]Shahab Saquib Sohail, Jamshed Siddiqui, Rashid Ali:
An OWA-Based Ranking Approach for University Books Recommendation. Int. J. Intell. Syst. 33(2): 396-416 (2018) - 2015
- [c6]Shahab Saquib Sohail, Jamshed Siddiqui, Rashid Ali:
OWA based Book Recommendation Technique. SCSE 2015: 126-133 - 2014
- [c5]Shahab Saquib Sohail, Jamshed Siddiqui, Rashid Ali:
Ordered ranked weighted aggregation based book recommendation technique: A link mining approach. HIS 2014: 309-314 - [c4]Shahab Saquib Sohail, Jamshed Siddiqui, Rashid Ali:
User feedback scoring and evaluation of a product recommendation system. IC3 2014: 525-530 - [c3]Shahab Saquib Sohail, Jamshed Siddiqui, Rashid Ali:
User Feedback Based Evaluation of a Product Recommendation System Using Rank Aggregation Method. ISI (1) 2014: 349-358 - 2013
- [c2]Shahab Saquib Sohail, Jamshed Siddiqui, Rashid Ali:
Book recommendation system using opinion mining technique. ICACCI 2013: 1609-1614 - 2011
- [c1]Musheer Ahmad, Omar Farooq, Sekharjit Datta, Shahab Saquib Sohail, Anoop Lal Vyas, David Mulvaney:
Chaos-based encryption of biomedical EEG signals using random quantization technique. BMEI 2011: 1471-1475
Coauthor Index
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last updated on 2025-06-24 21:37 CEST by the dblp team
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