| Learning path personalization and recommendation methods: A survey of the state-of-the-art AH Nabizadeh, JP Leal, HN Rafsanjani, RR Shah Expert Systems with Applications 159, 113596, 2020 | 206 | 2020 |
| Towards digital architecture, engineering, and construction (AEC) industry through virtual design and construction (VDC) and digital twin HN Rafsanjani, AH Nabizadeh Energy and Built Environment, 2023 | 132 | 2023 |
| Adaptive learning path recommender approach using auxiliary learning objects AH Nabizadeh, D Goncalves, S Gama, J Jorge, HN Rafsanjani Computers & Education 147, 103777, 2020 | 132 | 2020 |
| Towards human-centered artificial intelligence (AI) in architecture, engineering, and construction (AEC) industry HN Rafsanjani, AH Nabizadeh Computers in Human Behavior Reports, 100319, 2023 | 69 | 2023 |
| iSEA: IoT-based smartphone energy assistant for prompting energy-aware behaviors in commercial buildings HN Rafsanjani, A Ghahramani, AH Nabizadeh Applied energy 266, 114892, 2020 | 52 | 2020 |
| Recommendation systems: a review AHN Rafsanjani, N Salim, AR Aghdam, KB Fard International Journal of Computational Engineering Research 3 (5), 47-52, 2013 | 44 | 2013 |
| Automatic learning styles prediction: A survey of the State-of-the-Art (2006–2021) M Raleiras, AH Nabizadeh, FA Costa Journal of Computers in Education 9 (4), 587-679, 2022 | 35 | 2022 |
| Rutico: Recommending successful learning paths under time constraints AH Nabizadeh, A Mário Jorge, J Paulo Leal Adjunct publication of the 25th conference on user modeling, adaptation and …, 2017 | 34 | 2017 |
| Estimating time and score uncertainty in generating successful learning paths under time constraints AH Nabizadeh, AM Jorge, JP Leal Expert Systems 36 (2), e12351, 2019 | 26 | 2019 |
| Prediction of TNM stage in head and neck cancer using hybrid machine learning systems and radiomics features MR Salmanpour, M Hosseinzadeh, A Akbari, K Borazjani, K Mojallal, ... Medical Imaging 2022: Computer-Aided Diagnosis 12033, 662-667, 2022 | 20 | 2022 |
| Long term goal oriented recommender systems AH Nabizadeh, A Jorge, JP Leal | 20 | 2015 |
| How do students behave in a gamified course?—A ten-year study AH Nabizadeh, J Jorge, S Gama, D Gonçalves IEEE Access 9, 81008-81031, 2021 | 17 | 2021 |
| Predicting user preference based on matrix factorization by exploiting music attributes AH Nabizadeh, AM Jorge, S Tang, Y Yu Proceedings of the ninth international c* conference on computer science …, 2016 | 17 | 2016 |
| Early prediction of students’ final grades in a gamified course AH Nabizadeh, D Gonçalves, S Gama, J Jorge IEEE Transactions on Learning Technologies 15 (3), 311-325, 2022 | 13 | 2022 |
| A long term goal recommender approach for learning environments AHN Rafsanjani PQDT-Global, 2018 | 9 | 2018 |
| Multi-modality fusion coupled with deep learning for improved outcome prediction in head and neck cancer A Javanmardi, M Hosseinzadeh, G Hajianfar, AH Nabizadeh, ... Medical Imaging 2022: Image Processing 12032, 664-668, 2022 | 8 | 2022 |
| Cognitive Outcome Prediction in Parkinson’s Disease Using Hybrid Machine Learning Systems and Radiomics Features AR Mohammad R Salmanpour, Mahdi Hosseinzadeh, Mahya Bakhtiari, Mohammad M ... Journal of Nuclear Medicine 63 (2), 3233, 2022 | 6 | 2022 |
| New recommendation system model based on semantic similarity in movie domain AHN Rafsanjani, N Salim, N Mohammadhossein, KB Fard Journal of Basic and Applied Scientific Research (JBASR), 2013 | 5 | 2013 |
| Drug Amount Prediction in Parkinson’s Disease using Hybrid Machine Learning Systems and Radiomics Features AR Mohammad R Salmanpour, Mahdi Hosseinzadeh, Mahya Bakhtiari, Amir Reza ... Journal of Nuclear Medicine 63 (2), 2256, 2022 | 3 | 2022 |
| Clustering approach based on feature weighting for recommendation system in movie domain AHN Rafsanjani Universiti Teknologi Malaysia, 2013 | 3 | 2013 |
José Paulo LealAssistant professor of Computer Science, University of Porto確認したメール アドレス: dcc.fc.up.pt