| Predicting Merge Conflicts in Collaborative Software Development M Owhadi-Kareshk, S Nadi, J Rubin | 61 | 2019 |
| Pre-training of an artificial neural network for software fault prediction M Owhadi-Kareshk, Y Sedaghat, MR Akbarzadeh-T 2017 7th International Conference on Computer and Knowledge Engineering …, 2017 | 15 | 2017 |
| Scalable software merging studies with merganser M Owhadi-Kareshk, S Nadi 2019 IEEE/ACM 16th International Conference on Mining Software Repositories …, 2019 | 8 | 2019 |
| Representation learning by denoising autoencoders for clustering-based classification M Owhadi-Kareshk, MR Akbarzadeh-T 2015 5th International Conference on Computer and Knowledge Engineering …, 2015 | 7 | 2015 |
| Portfolio optimization on classical and quantum computers using PortFawn M Owhadi-Kareshk, P Boulanger arXiv preprint arXiv:2112.08998, 2021 | 6 | 2021 |
| Control of elastic joint robot based on electromyogram signal by pre-trained Multi-Layer Perceptron M Souzanchi-K, M Owhadi-Kareshk, MR Akbarzadeh-T 2016 International Joint Conference on Neural Networks (IJCNN), 5234-5240, 2016 | 6 | 2016 |
| Spectral Clustering-based Classification M Owhadi-Kareshk, MR Akbarzadeh-T 2015 5th International Conference on Computer and Knowledge Engineering …, 2015 | 6 | 2015 |
| N-1 Experts: Unsupervised Anomaly Detection Model Selection C Le Clei, Y Pushak, F Zogaj, MO Kareshk, Z Zohrevand, R Harlow, ... First Conference on Automated Machine Learning (Late-Breaking Workshop), 2022 | 4 | 2022 |
| Predicting Textual Merge Conflicts M Owhadi Kareshk University of Alberta, 2020 | 2* | 2020 |
| Entropy-based Consensus for Distributed Data Clustering M Owhadi-Kareshk, MR Akbarzadeh-T Journal of AI and Data Mining 7 (4), 551-561, 2019 | 2 | 2019 |
| Simultaneous Data Sampling And Feature Selection Via Weak Learners M Owhadi Kareshk, A Seyfi, HF Moghadam, S Hong, H Chafi US Patent 20,250,013,909, 2025 | | 2025 |
| Accelerating Automated Algorithm Configuration Using Historical Performance Data HC Yasha Pushak, Mobina Mahdavi, Ali Asgari Khoshouyeh, Ali Seyfi, Zahra ... US Patent 20,240,394,557, 2024 | | 2024 |
| Chromosome representation learning in evolutionary optimization to exploit the structure of algorithm configuration Y Pushak, MO Kareshk, HF Moghadam, S Hong, H Chafi US Patent App. 17/900,779, 2024 | | 2024 |
Mohammad-R. Akbarzadeh-T.Professor of Electrical Engineering and Computer Engineering, Ferdowsi University of MashhadVerifisert e-postadresse på um.ac.ir