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ORCIDHojjat Rakhshani
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2020 – today
- 2022
[j5]Soheila Ghambari
, Hojjat Rakhshani, Julien Lepagnot, Laetitia Jourdan, Lhassane Idoumghar:
Unbalanced budget distribution for automatic algorithm configuration. Soft Comput. 26(3): 1315-1330 (2022)- 2021
- [j4]Hojjat Rakhshani, Lhassane Idoumghar, Soheila Ghambari, Julien Lepagnot, Mathieu Brévilliers:
On the performance of deep learning for numerical optimization: An application to protein structure prediction. Appl. Soft Comput. 110: 107596 (2021) - 2020
- [b1]Hojjat Rakhshani:
The interplay of machine learning and metaheuristics. (Les interactions entre le machine learning et la métaheuristique). University of Upper Alsace, Mulhouse, France, 2020 - [c8]Hojjat Rakhshani, Bastien Latard, Mathieu Brévilliers, Jonathan Weber, Julien Lepagnot, Germain Forestier, Michel Hassenforder, Lhassane Idoumghar:
Automated Machine Learning for Information Retrieval in Scientific Articles. CEC 2020: 1-7 - [c7]Hojjat Rakhshani, Hassan Ismail Fawaz, Lhassane Idoumghar, Germain Forestier, Julien Lepagnot, Jonathan Weber, Mathieu Brévilliers, Pierre-Alain Muller:
Neural Architecture Search for Time Series Classification. IJCNN 2020: 1-8 - [i4]Hojjat Rakhshani, Lhassane Idoumghar, Soheila Ghambari, Julien Lepagnot, Mathieu Brévilliers:
On the performance of deep learning for numerical optimization: an application to protein structure prediction. CoRR abs/2012.09741 (2020)
2010 – 2019
- 2019
- [j3]Hojjat Rakhshani, Lhassane Idoumghar, Julien Lepagnot, Mathieu Brévilliers:
Speed up differential evolution for computationally expensive protein structure prediction problems. Swarm Evol. Comput. 50 (2019) - [c6]Hojjat Rakhshani, Lhassane Idoumghar, Julien Lepagnot, Mathieu Brévilliers:
From Feature Selection to Continuous Optimization. EA 2019: 1-12 - [c5]Hojjat Rakhshani, Lhassane Idoumghar, Julien Lepagnot, Mathieu Brévilliers:
MAC: Many-objective Automatic Algorithm Configuration. EMO 2019: 241-253 - [i3]Hojjat Rakhshani, Lhassane Idoumghar, Julien Lepagnot, Mathieu Brévilliers:
From feature selection to continues optimization. CoRR abs/1909.09444 (2019) - 2018
- [c4]Hojjat Rakhshani, Lhassane Idoumghar, Julien Lepagnot, Mathieu Brévilliers, Edward C. Keedwell:
Automatic hyperparameter selection in Autodock. BIBM 2018: 734-738 - [c3]Hojjat Rakhshani, Lhassane Idoumghar, Julien Lepagnot, Mathieu Brévilliers, Amin Rahati:
Accelerating Protein Structure Prediction Using Active Learning and Surrogate-Based Optimization. CEC 2018: 1-6 - [c2]Edward C. Keedwell, Mathieu Brévilliers, Lhassane Idoumghar, Julien Lepagnot, Hojjat Rakhshani:
A Novel Population Initialization Method Based on Support Vector Machine. SMC 2018: 751-756 - [i2]Hojjat Rakhshani, Lhassane Idoumghar, Julien Lepagnot, Mathieu Brévilliers, Edward C. Keedwell:
Automatic hyperparameter selection in Autodock. CoRR abs/1812.02618 (2018) - 2017
- [j2]Hojjat Rakhshani, Amin Rahati:
Snap-drift cuckoo search: A novel cuckoo search optimization algorithm. Appl. Soft Comput. 52: 771-794 (2017) - [j1]Waldemar W. Koczkodaj, Jean-Pierre Magnot, Jirí Mazurek, James F. Peters, Hojjat Rakhshani, Michael Soltys, Dominik Strzalka, Jacek Szybowski, Arturo Tozzi:
On normalization of inconsistency indicators in pairwise comparisons. Int. J. Approx. Reason. 86: 73-79 (2017) - [i1]Waldemar W. Koczkodaj, Jean-Pierre Magnot, Jirí Mazurek, James F. Peters, Hojjat Rakhshani, Michael Soltys, Dominik Strzalka, Jacek Szybowski, Arturo Tozzi:
On normalization of inconsistency indicators in pairwise comparisons. CoRR abs/1702.07205 (2017) - 2016
- [c1]Amin Rahati, Hojjat Rakhshani:
A gene expression programming framework for evolutionary design of metaheuristic algorithms. CEC 2016: 1445-1452
Coauthor Index
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