Solomon Mensah
ASSOCIATE PROFESSOR
CollegeCOLLEGE OF BASIC & APPLIED SC.
School / InstituteSCH. OF PHYSICAL & MATH. SC.
DepartmentDEPARTMENT OF COMPUTER SCIENCE
Machine LearningData Science & Software Engineering
Publication activity
Publication statistics
Publications
48 matching publications
| Publication | Year | Journal | Thematic area | Citations |
|---|---|---|---|---|
| Mahakil: Diversity based oversampling approach to alleviate the class imbalance issue in software defect prediction KE Bennin, J Keung, P Phannachitta, A Monden, S Mensah |
2017 | IEEE Transactions on Software Engineering 44 (6), 534-550, 2017 | Engineering | 394 |
| Object detection in adverse weather condition for autonomous vehicles EO Appiah, S Mensah |
2024 | Multimedia Tools and Applications 83 (9), 28235-28261, 2024 | Engineering | 90 |
| Improving code readability classification using convolutional neural networks Q Mi, J Keung, Y Xiao, S Mensah, Y Gao |
2018 | Information and Software Technology 104, 60-71, 2018 | Engineering | 86 |
| A sentiment analysis framework to classify instances of sarcastic sentiments within the aviation sector AM Iddrisu, S Mensah, F Boafo, GR Yeluripati, P Kudjo |
2023 | International Journal of Information Management Data Insights 3 (2), 100180, 2023 | Engineering | 59 |
| Isovalent substitution in metal chalcogenide materials for improving thermoelectric power generation–A critical review JD Musah, AM Ilyas, S Venkatesh, S Mensah, S Kwofie, VAL Roy, ... |
2022 | Nano Research Energy 1 (3), e9120034, 2022 | Engineering | 58 |
| An automatic software vulnerability classification framework using term frequency-inverse gravity moment and feature selection J Chen, PK Kudjo, S Mensah, SA Brown, G Akorfu |
2020 | Journal of Systems and Software 167, 110616, 2020 | Engineering | 56 |
| The significant effects of data sampling approaches on software defect prioritization and classification KE Bennin, J Keung, A Monden, P Phannachitta, S Mensah |
2017 | 2017 ACM/IEEE International Symposium on Empirical Software Engineering and …, 2017 | Engineering | 52 |
| Duplex output software effort estimation model with self-guided interpretation S Mensah, J Keung, MF Bosu, KE Bennin |
2018 | Information and Software Technology 94, 1-13, 2018 | Engineering | 51 |
| On the value of a prioritization scheme for resolving self-admitted technical debt S Mensah, J Keung, J Svajlenko, KE Bennin, Q Mi |
2018 | Journal of Systems and Software 135, 37-54, 2018 | Engineering | 51 |
| The effect of Bellwether analysis on software vulnerability severity prediction models PK Kudjo, J Chen, S Mensah, R Amankwah, C Kudjo |
2020 | Software Quality Journal 28 (4), 1413-1446, 2020 | Engineering | 39 |
| An inception architecture-based model for improving code readability classification Q Mi, J Keung, Y Xiao, S Mensah, X Mei |
2018 | Proceedings of the 22nd International Conference on Evaluation and …, 2018 | Engineering | 31 |
| Improving the accuracy of vulnerability report classification using term frequency-inverse gravity moment PK Kudjo, J Chen, M Zhou, S Mensah, R Huang |
2019 | 2019 IEEE 19th international conference on software quality, reliability and …, 2019 | Engineering | 28 |
| Investigating the significance of the bellwether effect to improve software effort prediction: Further empirical study S Mensah, J Keung, SG MacDonell, MF Bosu, KE Bennin |
2018 | IEEE Transactions on Reliability 67 (3), 1176-1198, 2018 | Engineering | 25 |
| A deep learning approach for loan default prediction using imbalanced dataset E Owusu, R Quainoo, S Mensah, JK Appati |
2023 | International Journal of Intelligent Information Technologies (IJIIT) 19 (1 …, 2023 | Engineering | 24 |
| Investigating the significance of bellwether effect to improve software effort estimation S Mensah, J Keung, SG MacDonell, MF Bosu, KE Bennin |
2017 | 2017 IEEE International conference on software quality, reliability and …, 2017 | Engineering | 24 |
| Rework effort estimation of self-admitted technical debt S Mensah, J Keung, MF Bosu, KE Bennin |
2016 | CEUR-WS, 2016 | Engineering | 22 |
| Multi-objective optimization for software testing effort estimation S Mensah, J Keung, KE Bennin, MF Bosu |
2016 | SEKE, 2016 | Engineering | 16 |
| A Stratification and Sampling Model for Bellwether Moving Window. S Mensah, J Keung, MF Bosu, KE Bennin, PK Kudjo |
2017 | SEKE, 481-486, 2017 | Engineering | 14 |
| The significant effect of parameter tuning on software vulnerability prediction models PK Kudjo, SB Aformaley, S Mensah, J Chen |
2019 | 2019 IEEE 19th International Conference on Software Quality, Reliability and …, 2019 | Engineering | 13 |
| Deeplabb: A deep learning framework for blocking bugs SA Brown, BA Weyori, AF Adekoya, PK Kudjo, S Mensah, S Abedu |
2021 | 2021 International Conference on Cyber Security and Internet of Things …, 2021 | Engineering | 11 |
| Not all bug reopens are negative: A case study on eclipse bug reports Q Mi, J Keung, Y Huo, S Mensah |
2018 | Information and Software Technology 99, 93-97, 2018 | Engineering | 11 |
| A classification scheme to improve conclusion instability using Bellwether moving windows S Mensah, PK Kudjo |
2022 | Journal of Software: Evolution and Process 34 (9), e2488, 2022 | Engineering | 6 |
| Loan Default Predictive Analytics E Owusu, R Quainoo, JK Appati, S Mensah |
2022 | 2022 IEEE World Conference on Applied Intelligence and Computing (AIC), 617-622, 2022 | Engineering | 6 |
| [Journal first] MAHAKIL: Diversity based oversampling approach to alleviate the class imbalance issue in software defect prediction KE Bennin, J Keung, P Phannachitta, A Monden, S Mensah |
2018 | 2018 IEEE/ACM 40th international conference on software engineering (ICSE …, 2018 | Engineering | 5 |
| Predicting vulnerable software components via bellwethers PK Kudjo, J Chen, S Mensah, R Amankwah |
2018 | Chinese Conference on Trusted Computing and Information Security, 389-407, 2018 | Engineering | 5 |