Adaptive learning path recommender approach using auxiliary learning objects AH Nabizadeh, D Goncalves, S Gama, J Jorge, HN Rafsanjani Computers & Education 147, 103777, 2020 | 43 | 2020 |
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 | 38 | 2020 |
Recommendation systems: a review AHN Rafsanjani, N Salim, AR Aghdam, KB Fard International Journal of Computational Engineering Research 3 (5), 47-52, 2013 | 29 | 2013 |
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 | 16 | 2017 |
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 | 14 | 2020 |
Long term goal oriented recommender systems AH Nabizadeh, A Jorge, JP Leal | 14 | 2015 |
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 | 12 | 2016 |
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 | 9 | 2019 |
A long term goal recommender approach for learning environments AHN Rafsanjani | 5 | 2018 |
New recommendation system model based on semantic similarity in movie domain AH Nabizadeh Rafsanjani, N Salim, N Mohammadhossein, ... Journal of Basic and Applied Scientific Research 3 (7), 258-273, 2013 | 4 | 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, 1-93, 2022 | 2 | 2022 |
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, 2021 | 2 | 2021 |
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 | 2 | 2021 |
Clustering approach based on feature weighting for recommendation system in movie domain AHN Rafsanjani Universiti Teknologi Malaysia, 2013 | 2 | 2013 |
Prediction of TNM stage in head and neck cancer using hybrid machine learning systems and radiomics features AR Mohammadreza Salmanpour, Mahdi Hosseinzadeh, Azizeh Akbari, Kasra ... SPIE Medical Imaging, 4, 2022 | | 2022 |
Multi-modality fusion coupled with deep learning for improved outcome prediction in head and neck cancer AR Arash Javanmardi, Mahdi Hosseinzadeh, Ghasem Hajianfar, Amir Hossein ... SPIE Medical Imaging, 4, 2022 | | 2022 |
DynaGame: a rule editor for gamified education A Nogueira, AH Nabizadeh, D Gonçalves 2021 International Conference on Graphics and Interaction (ICGI), 1-7, 2021 | | 2021 |
The Relationship of Knowledge Management and Market Segmentation on CRM SA Nastaran Mohammadhossein , Nor Hidayati Zakaria , Amir Hossein Nabizadeh ... Journal of Basic and Applied Scientific Research 4 (3), 12, 2013 | | 2013 |