Low area/power decimal addition with carry-select correction and carry-select sum-digits. - Morteza Dorrigiv; Ghassem Jaberipur (Integr., 2014)

Conditional speculative mixed decimal/binary adders via binary-coded-chiliad encoding. - Morteza Dorrigiv; Ghassem Jaberipur (Comput. Electr. Eng., 2016)

A model-driven approach for semantic web service modeling using web service modeling languages. - Mohsen Mohseni; Mohammad Karim Sohrabi; Morteza Dorrigiv (J. Softw. Evol. Process., 2021)

Ensemble-based clustering of large probabilistic graphs using neighborhood and distance metric learning. - Malihe Danesh; Morteza Dorrigiv; Farzin Yaghmaee (J. Supercomput., 2021)

Classification of COVID-19 in Chest X-ray Images Using Fusion of Deep Features and LightGBM. - Hamid Nasiri; Ghazal Kheyroddin; Morteza Dorrigiv; Mona Esmaeili; Amir Raeisi Nafchi; Mohsen Haji Ghorbani; Payman Zarkesh-Ha (AIIoT, 2022)

DGCU: A new deep directed method based on Gaussian embedding for clustering uncertain graphs. - Malihe Danesh; Morteza Dorrigiv; Farzin Yaghmaee (Comput. Electr. Eng., 2022)

Diagnosis of COVID-19 Cases from Chest X-ray Images Using Deep Neural Network and LightGBM. - Mobina Ezzoddin; Hamid Nasiri; Morteza Dorrigiv (CoRR, 2022)

A survey of clustering large probabilistic graphs: Techniques, evaluations, and applications. - Malihe Danesh; Morteza Dorrigiv; Farzin Yaghmaee (Expert Syst. J. Knowl. Eng., 2023)

Graph representation based reward shaping approach for addressing reward sparsity in task-oriented dialogue systems. - Shaghayegh Saffari; Morteza Dorrigiv; Farzin Yaghmaee (Neurocomputing, 2025)

An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm. - Ahmadreza Shateri; Negar Nourani; Morteza Dorrigiv; Hamid Nasiri (CoRR, 2025)

Histopathology image analysis for gastric cancer detection: a hybrid deep learning and catboost approach. - Danial Khayatian; Alireza Maleki; Hamid Nasiri; Morteza Dorrigiv (Multim. Tools Appl., 2025)