Faculty Members Publication
Conference proceedings
- M. A. K. Rifat, A. Kabir, and A. Huq, “An Explainable Machine Learning Approach to Traffic Accident Fatality Prediction,” Procedia Computer Science, vol. 246, pp. 1905–1914, 2024, doi: https://doi.org/10.1016/j.procs.2024.09.704. [Presented at the 28th International Conference on Knowledge Based and Intelligent Information and Engineering Systems (KES 2024), as part of a special issue.]
Prevalence and User Perception of Dark Patterns: A Case Study on E-Commerce Websites of Bangladesh
Y. Sazid and K. Sakib
19th International Conference on Evaluation of Novel Approaches to Software Engineering | ENASE 2024
Commit Classification into Maintenance Activities Using In-Context Learning Capabilities of LLMs
Y. Sazid, S. Kuri, K. S. Ahmed, and A. Satter
19th International Conference on Evaluation of Novel Approaches to Software Engineering | ENASE 2024
Automated Detection of Dark Patterns Using In-Context Learning Capabilities of GPT-3
Y. Sazid, M. M. N. Fuad, and K. Sakib
30th Asia-Pacific Software Engineering Conference | APSEC 2023
Journal
Sanzana Karim Lora, M. Sohel Rahman, Rifat Shahriyar, “ConVerSum: A Contrastive Learning based Approach for Data-Scarce Solution of Cross-Lingual Summarization Beyond Direct Equivalents”, ACM Transactions on Asian and Low-Resource Language Information Processing, Volume 24, Issue 5, Article No.: 50, Pages 1 - 22, May 2025.
Journal
Sanzana Karim Lora, G. M. Shahariar, Tamanna Nazmin, Noor Nafeur Rahman, Rafsan Rahman, Miyad Bhuiyan, Faisal Muhammad Shah; “Ben-Sarc: A Self-Annotated Corpus for Sarcasm Detection from Bengali Social Media Comments and Its Baseline Evaluation”, Natural Language Processing.
Journal
Sanzana Karim Lora, Ishrat Jahan, Rahad Hussain, Rifat Shahriyar, A.B.M Alim Al Islam; “A transformer-based generative adversarial learning to detect sarcasm from Bengali text with correct classification of confusing text”, Heliyon, volume 9, issue 12.
Conference Paper
Sanzana Karim Lora, Istiak Ahmed, Muhammad Abdullah Adnan, “Short Paper: A Cloud-based Distributed Approach for Social Media Sentiment Analysis using Machine Learning with Distributed Hyperparameter Tuning”, 11th International Conference on Networking, Systems, and Security. (11th NSysS 2024), Khulna, Bangladesh, ACM, New York, NY, USA.
Conference Paper
Sanzana Karim Lora, Nusrat Jahan, Shahana Alam Antora, Nazmus Sakib, “Detecting Emotion of Users’ Analyzing Social Media Bengali Comments Using Deep Learning Techniques”, in Proceedings of the 2nd International Conference on Advanced Information and Communication Technology 2020 (ICAICT 2020), Dhaka, Bangladesh, 2020, pp. 88-93.
Structure and dynamics of financial networks by feature ranking method
MI Rakib, A Nobi, JW Lee (2021). Structure and dynamics of financial networks by feature ranking method. Published on: Scientific Reports - 11, pp: 17618. doi.org/10.1038/s41598-021-
Genome-wide identification and prediction of SARS-CoV-2 mutations show an abundance of variants: Integrated study of bioinformatics and deep neural learning
MS Hossain, A.Q.M. SU Pathan, MN Islam, MIQ Tonmoy, MI Rakib, NM Bahadur, et al (2021). Genome-wide identification and prediction of SARS-CoV-2 mutations show an abundance of variants: Integrated study of bioinformatics and deep neural learning. Published on: Informatics in Medicine Unlocked – 27, pp: 100798.
Feature ranking and network analysis of global financial indices
MI Rakib, MJ Hossain, A Nobi (2022). Feature ranking and network analysis of global financial indices. Published on: Plos One – 17(6), pp: e0269483. doi.org/10.1371/journal.pone.
Identification of comorbidities, genomic associations, and molecular mechanisms for COVID-19 using bioinformatics approaches
SBS Omit, S Akhter, HK Rana, ARM MH Rana, NK Podder, MI Rakib, A Nobi (2023). Identification of comorbidities, genomic associations, and molecular mechanisms for COVID-19 using bioinformatics approaches. Published on: BioMed Research International – 2023, pp: 6996307. doi.org/10.1155/2023/6996307 [Q2, IF: 3.41]
Modular structures of trade flow networks in international commodities
ZM Koli, A Nobi, MI Rakib, MJ Alam, JW Lee (2023). Modular structures of trade flow networks in international commodities. Published on: Sustainability – 15(22), pp: 15786. doi.org/10.3390/su152215786 [Q1, IF: 3.9]
Change in hierarchy of the financial networks: A study on firms of an emerging market in Bangladesh
MI Rakib, MJ Alam, N Akter, KH Tuhin, A Nobi (2024). Change in hierarchy of the financial networks: A study on firms of an emerging market in Bangladesh. Published on: Plos One – 19(5), pp: e0301725. doi.org/10.1371/journal.pone.
Long Short-Term Memory Autoencoder Based Network of Financial Indices
KH Tuhin, A Nobi, MI Rakib, JW Lee (2025). Long Short-Term Memory Autoencoder Based Network of Financial Indices. Published on: Humanit Soc Sci Commun–12(100). https://doi.org/10.1057/
Structure of global financial networks before and during COVID-19 based on mutual information
SS Hassan, MI Rakib, KH Tuhin, A Nobi (2023). Structure of global financial networks before and during COVID-19 based on mutual information. Published in: The Proceedings of International Conference on Machine Intelligence and Emerging Technologies (MIET 2022), LNICST – 491, Springer. doi.org/10.1007/978-3-031-
Entropy and relative entropy in the composition of commodities
MI Rakib, M Akter, SA Milu, A Nobi (2024). Entropy and relative entropy in the composition of commodities. Published in: The Proceedings of 26th International Conference on Computer and Information Technology (ICCIT), Cox’s Bazar, IEEE Bangladesh. PP. 1-6. doi.org/10.1109/ICCIT60459.
Effect of network size on comparing different stock networks
KH Tuhin, A Nobi, MJ Sadique, MI Rakib, JW Lee (2024). Effect of network size on comparing different stock networks. Published on: Plos One – 18(12), pp: e0288733. doi.org/10.1371/journal.pone.
