Hamed Karimi

According to our database, Hamed Karimi authored at least 12 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Segmentation of 3D MRI Using 2D Convolutional Neural Networks in Infants' Brain.

Hamed Karimi, Mohammad Hamghalam

Multim. Tools Appl., March, 2024

Optimizing COVID-19 medical waste management using goal and robust possibilistic programming.

Hamed Karimi, Niaz Wassan, Behdad Ehsani, Reza Tavakkoli-Moghaddam, Ali Ghodratnama

Eng. Appl. Artif. Intell., 2024

Evidential Uncertainty Sets in Deep Classifiers Using Conformal Prediction.

Hamed Karimi, Reza Samavi

CoRR, 2024

2023

Quantifying Deep Learning Model Uncertainty in Conformal Prediction.

Hamed Karimi, Reza Samavi

CoRR, 2023

Designing humanitarian logistics network for managing epidemic outbreaks in disasters using Internet-of-Things. A case study: An earthquake in Salas-e-Babajani city.

Behdad Ehsani, Hamed Karimi, Alireza Bakhshi, Amir Aghsami, Masoud Rabbani

Comput. Ind. Eng., 2023

DENL: Diverse Ensemble and Noisy Logits for Improved Robustness of Neural Networks.

Mina Yazdani, Hamed Karimi, Reza Samavi

Proceedings of the Asian Conference on Machine Learning, 2023

2019

A learning-based ontology alignment approach using inductive logic programming.

Hamed Karimi, Ali Kamandi

Expert Syst. Appl., 2019

2018

YAD: A Learning-based Inductive Logic Programming Tool.

Ali Kamandi, Hamed Karimi

J. Open Source Softw., 2018

2017

Boosting quantum annealer performance via sample persistence.

Hamed Karimi, Gili Rosenberg

Quantum Inf. Process., 2017

Effective optimization using sample persistence: A case study on quantum annealers and various Monte Carlo optimization methods.

Hamed Karimi, Gili Rosenberg, Helmut G. Katzgraber

CoRR, 2017

2016

Boosting quantum annealer performance via quantum persistence.

Hamed Karimi, Gili Rosenberg

CoRR, 2016

Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition.

Hamed Karimi, Julie Nutini, Mark Schmidt

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016