| An Ensemble Model for the Diagnosis of Brain Tumors through MRIs E Ghafourian, F Samadifam, H Fadavian, P Jerfi Canatalay, AR Tajally, ... Diagnostics 13 (3), 561, 2023 | 36 | 2023 |
| Simulation of the COVID-19 patient flow and investigation of the future patient arrival using a time-series prediction model: a real-case study M Tavakoli, R Tavakkoli-Moghaddam, R Mesbahi, M Ghanavati-Nejad, ... Medical & Biological Engineering & Computing 60 (4), 969-990, 2022 | 32 | 2022 |
| A goal programming-based fuzzy best–worst method for the viable supplier selection problem: a case study O Rostami, M Tavakoli, AR Tajally, M GhanavatiNejad Soft Computing 27 (6), 2827-2852, 2023 | 23 | 2023 |
| Uncertainty-aware credit card fraud detection using deep learning M Habibpour, H Gharoun, M Mehdipour, AR Tajally, H Asgharnezhad, ... Engineering Applications of Artificial Intelligence 123, 106248, 2023 | 18 | 2023 |
| Breast cancer classification by a new approach to assessing deep neural network-based uncertainty quantification methods F Hamedani-KarAzmoudehFar, R Tavakkoli-Moghaddam, AR Tajally, ... Biomedical Signal Processing and Control 79, 104057, 2023 | 16 | 2023 |
| New bidirectional recurrent neural network optimized by improved Ebola search optimization algorithm for lung cancer diagnosis MH Sabzalian, F Kharajinezhadian, AR Tajally, R Reihanisaransari, ... Biomedical Signal Processing and Control 84, 104965, 2023 | 15 | 2023 |
| An Uncertainty-Aware Deep Learning Framework for Defect Detection in Casting Products M Habibpour, H Gharoun, AR Tajally, A Shamsi, H Asgharnezhad, ... arXiv preprint arXiv:2107.11643, 2021 | 10 | 2021 |
| Confidence aware neural networks for skin cancer detection D Khaledyan, AR Tajally, A Sarkhosh, A Shamsi, H Asgharnezhad, ... arXiv preprint arXiv:2107.09118, 2021 | 8 | 2021 |
| Improving MC-Dropout Uncertainty Estimates with Calibration Error-based Optimization A Shamsi, H Asgharnezhad, M Abdar, AR Tajally, A Khosravi, ... arXiv preprint arXiv:2110.03260, 2021 | 7 | 2021 |
| A Markovian-based fuzzy decision-making approach for the customer-based sustainable-resilient supplier selection problem M Tavakoli, A Tajally, M Ghanavati-Nejad, F Jolai Soft Computing, 1-32, 2023 | 6 | 2023 |
| An Uncertainty-aware Loss Function for Training Neural Networks with Calibrated Predictions A Shamsi, H Asgharnezhad, AR Tajally, S Nahavandi, H Leung | 1* | |
| A hybrid machine learning model based on ensemble methods for devices fault prediction in the wood industry A Dahesh, R Tavakkoli-Moghaddam, N Wassan, AR Tajally, Z Daneshi, ... Expert Systems with Applications, 123820, 2024 | | 2024 |
| LRFM-based association rule mining for dentistry services patterns identification (Case study: a dental center in Iran) M Tavakoli, M Ghanavati-Nejad, A Tajally, M Sheikhalishahi Soft Computing, 2023 | | 2023 |
| Classification of water subscribers by machine learning algorithms A Dahesh, R Tavakkoli‐Moghaddam, AR Tajally, A Erfani‐Jazi, ... Water and Environment Journal, 2023 | | 2023 |
| Fundamental of Statistics for Data Science M Nouri, AR Tajally, AA Ramedani Bazargani Publication, 2021 | | 2021 |
| Review and Comparing Smart Factors in Data-Driven Businesses Using Data Mining Algorithms AR Tajally, M Hosseini, M Hosseini Second National Conference on Business Management, University of Tehran …, 2019 | | 2019 |
| Analyzing the Growth Rate of Entrepreneurial Thinking in line with Effective Factors Development for creating Entrepreneurship Using Data Mining Algorithms on Tehran University … M Hosseini, M Hosseini, AR Tajally Second National Conference on Entrepreneurship, Sharif University of …, 2018 | | 2018 |
Distinguished Professor Saeid Nahav...IEEE Fellow, Swinburne University of Technology, Harvard UniversityVerified email at ieee.org
