| Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities Z Jan, F Ahamed, W Mayer, N Patel, G Grossmann, M Stumptner, A Kuusk Expert Systems with Applications 216, 119456, 2023 | 402 | 2023 |
| The Impact of Social Networking to Influence Marketing through Product Reviews F Faraz, Z Jan Internation Journal of Information and Technology Research 2 (8), 627 - 637, 2012 | 73* | 2012 |
| An intelligent multimodal biometric authentication model for personalised healthcare services F Ahamed, F Farid, B Suleiman, Z Jan, LA Wahsheh, S Shahrestani Future Internet 14 (8), 222, 2022 | 36 | 2022 |
| A Novel Diversity Measure and Classifier Selection Approach for Generating Ensemble Classifiers Z Jan, B Verma IEEE Access 7 (1), 156360-156373, 2019 | 32 | 2019 |
| A Novel Method for Creating an Optimized Ensemble Classifier By Introducing Cluster Size Reduction and Diversity Z Jan, J Munoz, A Ali IEEE Transactions on Knowledge and Data Engineering, 11, 2020 | 26 | 2020 |
| A convolutional neural network based deep learning technique for identifying road attributes Z Jan, B Verma, J Affum, S Atabak, L Moir 2018 International Conference on Image and Vision Computing New Zealand …, 2018 | 26 | 2018 |
| Evolutionary Classifier and Cluster Selection Approach for Ensemble Classification Z Jan, B Verma ACM Transactions on Knowledge Discovery in Data 1 (1), 1-8, 2019 | 22 | 2019 |
| Tunable and growing network generation model with community structures MQ Pasta, Z Jan, A Sallaberry, F Zaidi 2013 International Conference on Cloud and Green Computing, 233-240, 2013 | 22 | 2013 |
| Multiple Strong and Balanced Clusters based Ensemble of Deep Learners Z Jan, B Verma Pattern Recognition, 2020 | 21 | 2020 |
| Optimizing clustering to promote data diversity when generating an ensemble classifier Z Jan, B Verma, S Fletcher Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018 | 14 | 2018 |
| Ensemble Classifier Optimization by Reducing Input Features and Base Classifiers Z Jan, B Verma 2019 IEEE Congress on Evolutionary Computation (CEC), 1580-1587, 2019 | 13 | 2019 |
| The Optimized Selection of Base-Classifiers for Ensemble Classification using a Multi-Objective Genetic Algorithm S Fletcher, B Verma, Z Jan, M Zhang 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 13 | 2018 |
| Multicluster class-balanced ensemble Z Jan, B Verma IEEE Transactions on Neural Networks and Learning Systems 32 (3), 1014-1025, 2020 | 11 | 2020 |
| Multiple elimination of base classifiers in ensemble learning using accuracy and diversity comparisons ZM Jan, B Verma ACM Transactions on Intelligent Systems and Technology (TIST) 11 (6), 1-17, 2020 | 6 | 2020 |
| Machine Learning for Learning Personalization to Enhance Student Academic Performance. JC Muñoz-Carpio, Z Jan, A Saavedra LALA, 88-99, 2021 | 4 | 2021 |
| Evolving one-dimensional deep convolutional neural network: a swarm based approach A Haidar, ZM Jan, B Verma 2019 IEEE congress on evolutionary computation (CEC), 1299-1305, 2019 | 4 | 2019 |
| Ensemble Classifier Generation Using Class-Pure Cluster Balancing Z Jan, B Verma 26th International Conference on Neural Information Processing (ICONIP), 1-8, 2019 | 4 | 2019 |
| Balanced Image Data Based Ensemble of Convolutional Neural Networks Z Jan, B Verma IEEE Symposium Series on Computational Intelligence (SSCI), 2418-2424, 2019 | 3 | 2019 |
| Demographic and structural characteristics to rationalize link formation in online social networks MQ Pasta, Z Jan, F Zaidi, C Rozenblat 2013 International Conference on Signal-Image Technology & Internet-Based …, 2013 | 2 | 2013 |
| Optimal Clusters Generation for Maximizing Ensemble Classifier Performance Z Jan, B Verma 2020 International Joint Conference on Neural Networks, 2020 | 1 | 2020 |
Professor Brijesh VermaGriffith University, AustraliaVerified email at griffith.edu.au