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Ali Mohammadi Shanghooshabad
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2020 – today
- 2023
- [c4]Michael Shekelyan, Graham Cormode, Qingzhi Ma, Ali Mohammadi Shanghooshabad, Peter Triantafillou:
Streaming Weighted Sampling over Join Queries. EDBT 2023: 298-310 - 2022
- [b1]Ali Mohammadi Shanghooshabad:
Learned joins with probabilistic graphical models. University of Warwick, Coventry, UK, 2022 - [i3]Michael Shekelyan, Graham Cormode, Peter Triantafillou, Ali Mohammadi Shanghooshabad, Qingzhi Ma:
Weighted Random Sampling over Joins. CoRR abs/2201.02670 (2022) - [i2]Ali Mohammadi Shanghooshabad, Peter Triantafillou:
Model Joins: Enabling Analytics Over Joins of Absent Big Tables. CoRR abs/2206.10434 (2022) - [i1]Ali Mohammadi Shanghooshabad, Peter Triantafillou:
Graphical Join: A New Physical Join Algorithm for RDBMSs. CoRR abs/2206.10435 (2022) - 2021
- [c3]Qingzhi Ma, Ali Mohammadi Shanghooshabad, Mehrdad Almasi, Meghdad Kurmanji, Peter Triantafillou:
Learned Approximate Query Processing: Make it Light, Accurate and Fast. CIDR 2021 - [c2]Ali Mohammadi Shanghooshabad, Meghdad Kurmanji, Qingzhi Ma, Michael Shekelyan
, Mehrdad Almasi
, Peter Triantafillou:
PGMJoins: Random Join Sampling with Graphical Models. SIGMOD Conference 2021: 1610-1622 - [c1]Ali Mohammadi Shanghooshabad:
XLJoins. SIGMOD Conference 2021: 2902-2904
2010 – 2019
- 2019
- [j5]Alireza Hekmatinia, Ali Mohammadi Shanghooshabad, Mohammad Mahdi Motevali
, Mehrdad Almasi:
Tuning parameters via a new rapid, accurate and parameter-less method using meta-learning. Int. J. Data Min. Model. Manag. 11(4): 366-390 (2019) - [j4]Mohammad Mahdi Motevali
, Ali Mohammadi Shanghooshabad, Reza Zohouri Aram, Hamidreza Keshavarz
:
WHO: A New Evolutionary Algorithm Bio-Inspired by Wildebeests with a Case Study on Bank Customer Segmentation. Int. J. Pattern Recognit. Artif. Intell. 33(5): 1959017:1-1959017:32 (2019) - 2016
- [j3]Ali Mohammadi Shanghooshabad, Mohammad Saniee Abadeh
:
Robust medical data mining using a clustering and swarm-based framework. Int. J. Data Min. Bioinform. 14(1): 22-39 (2016) - [j2]Ali Mohammadi Shanghooshabad, Mohammad Saniee Abadeh
:
Robust, interpretable and high quality fuzzy rule discovery using krill herd algorithm. J. Intell. Fuzzy Syst. 30(3): 1601-1612 (2016) - [j1]Ali Mohammadi Shanghooshabad, Mohammad Saniee Abadeh
:
Sifter: an approach for robust fuzzy rule set discovery. Soft Comput. 20(8): 3303-3319 (2016)
Coauthor Index
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