| WHO: A New Evolutionary Algorithm Bio-Inspired of Wildebeests with a Case Study on Bank Customer Segmentation MM Motevali, A Mohammadi Shanghooshabad*, R Zohouri Aram, ... International Journal of Pattern Recognition and Artificial Intelligence, 2018 | 29 | 2018 |
| Learned approximate query processing: Make it light, accurate and fast Q Ma, AM Shanghooshabad, M Almasi, M Kurmanji, P Triantafillou Conference on Innovative Data Systems,(CIDR21), 2021 | 26 | 2021 |
| Pgmjoins: Random join sampling with graphical models AM Shanghooshabad, M Kurmanji, Q Ma, M Shekelyan, M Almasi, ... Proceedings of the 2021 International Conference on Management of Data, 1610 …, 2021 | 19 | 2021 |
| Breast cancer detection using a multi-objective binary krill herd algorithm A Mohammadi, MS Abadeh, H Keshavarz 2014 21th Iranian Conference on Biomedical Engineering (ICBME), 128-133, 2014 | 11 | 2014 |
| Robust, interpretable and high quality fuzzy rule discovery using krill herd algorithm AM Shanghooshabad, MS Abadeh Journal of Intelligent & Fuzzy Systems 30 (3), 1601-1612, 2016 | 9 | 2016 |
| Weighted random sampling over joins M Shekelyan, G Cormode, P Triantafillou, A Shanghooshabad, Q Ma arXiv preprint arXiv:2201.02670, 2022 | 7 | 2022 |
| Sifter: an approach for robust fuzzy rule set discovery A Mohammadi Shanghooshabad, M Saniee Abadeh Soft Computing 20, 3303-3319, 2016 | 3 | 2016 |
| Robust medical data mining using a clustering and swarm-based framework AM Shanghooshabad, MS Abadeh International Journal of Data Mining and Bioinformatics 14 (1), 22-39, 2016 | 3 | 2016 |
| Graphical Join: A New Physical Join Algorithm for RDBMSs AM Shanghooshabad, P Triantafillou arXiv preprint arXiv:2206.10435, 2022 | 1 | 2022 |
| Tuning parameters via a new rapid, accurate and parameter-less method using meta-learning A Hekmatinia, AM Shanghooshabad, MM Motevali, M Almasi International Journal of Data Mining, Modelling and Management 11 (4), 366-390, 2019 | 1 | 2019 |
| Streaming weighted sampling over join queries M Shekelyan, G Cormode, Q Ma, AM Shanghooshabad, P Triantafillou Proceedings of the 26th International Conference on Extending Database …, 2023 | | 2023 |
| Model Joins: Enabling Analytics Over Joins of Absent Big Tables A Mohammadi Shanghooshabad, P Triantafillou https://arxiv.org/abs/2206.10434, 2022 | | 2022 |
| Learned joins with probabilistic graphical models AM Shanghooshabad University of Warwick, 2022 | | 2022 |
| XLJoins A Mohammadi Shanghooshabad Proceedings of the 2021 International Conference on Management of Data, 2902 …, 2021 | | 2021 |
Peter TriantafillouProfessor, Computer Science, University of WarwickVerified email at warwick.ac.uk
