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Hamed Karimi
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2020 – today
- 2024
- [j6]Hamed Karimi, Niaz Wassan, Behdad Ehsani, Reza Tavakkoli-Moghaddam, Ali Ghodratnama:
Optimizing COVID-19 medical waste management using goal and robust possibilistic programming. Eng. Appl. Artif. Intell. 131: 107838 (2024) - [j5]Hamed Karimi, Mohammad Hamghalam:
Segmentation of 3D MRI Using 2D Convolutional Neural Networks in Infants' Brain. Multim. Tools Appl. 83(11): 33511-33526 (2024) - [i5]Hamed Karimi, Reza Samavi:
Evidential Uncertainty Sets in Deep Classifiers Using Conformal Prediction. CoRR abs/2406.10787 (2024) - 2023
- [j4]Behdad Ehsani, Hamed Karimi, Alireza Bakhshi, Amir Aghsami, Masoud Rabbani:
Designing humanitarian logistics network for managing epidemic outbreaks in disasters using Internet-of-Things. A case study: An earthquake in Salas-e-Babajani city. Comput. Ind. Eng. 175: 108821 (2023) - [c2]Mina Yazdani, Hamed Karimi, Reza Samavi:
DENL: Diverse Ensemble and Noisy Logits for Improved Robustness of Neural Networks. ACML 2023: 1574-1589 - [i4]Hamed Karimi, Reza Samavi:
Quantifying Deep Learning Model Uncertainty in Conformal Prediction. CoRR abs/2306.00876 (2023)
2010 – 2019
- 2019
- [j3]Hamed Karimi, Ali Kamandi:
A learning-based ontology alignment approach using inductive logic programming. Expert Syst. Appl. 125: 412-424 (2019) - 2018
- [j2]Ali Kamandi, Hamed Karimi:
YAD: A Learning-based Inductive Logic Programming Tool. J. Open Source Softw. 3(30): 892 (2018) - 2017
- [j1]Hamed Karimi, Gili Rosenberg:
Boosting quantum annealer performance via sample persistence. Quantum Inf. Process. 16(7): 166 (2017) - [i3]Hamed Karimi, Gili Rosenberg, Helmut G. Katzgraber:
Effective optimization using sample persistence: A case study on quantum annealers and various Monte Carlo optimization methods. CoRR abs/1706.07826 (2017) - 2016
- [c1]Hamed Karimi, Julie Nutini, Mark Schmidt:
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition. ECML/PKDD (1) 2016: 795-811 - [i2]Hamed Karimi, Gili Rosenberg:
Boosting quantum annealer performance via quantum persistence. CoRR abs/1606.07797 (2016) - [i1]Hamed Karimi, Julie Nutini, Mark Schmidt:
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition. CoRR abs/1608.04636 (2016)
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last updated on 2024-10-07 22:11 CEST by the dblp team
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