| An expert system for predicting longitudinal dispersion coefficient in natural streams by using ANFIS H Riahi-Madvar, SA Ayyoubzadeh, E Khadangi, MM Ebadzadeh Expert Systems with Applications 36 (4), 8589-8596, 2009 | 134 | 2009 |
| Presenting new collaborative link prediction methods for activity recommendation in Facebook A Shahmohammadi, E Khadangi, A Bagheri Neurocomputing 210, 217-226, 2016 | 34 | 2016 |
| Community detection in facebook activity networks and presenting a new multilayer label propagation algorithm for community detection F Alimadadi, E Khadangi, A Bagheri International Journal of Modern Physics B 33 (10), 1950089, 2019 | 30 | 2019 |
| Comparing MLP, SVM and KNN for predicting trust between users in Facebook E Khadangi, A Bagheri ICCKE 2013, 466-470, 2013 | 26 | 2013 |
| Comparison of ANFIS and RBF models in daily stream flow forecasting E Khadangi, HR Madvar, MM Ebadzadeh 2009 2nd International Conference on Computer, control and Communication, 1-6, 2009 | 23 | 2009 |
| Empirical analysis of structural properties, macroscopic and microscopic evolution of various Facebook activity networks E Khadangi, A Bagheri, A Zarean Quality & Quantity 52, 249-275, 2018 | 13 | 2018 |
| Measuring relationship strength in online social networks based on users' activities and profile information E Khadangi, A Zarean, A Bagheri, AB Jafarabadi ICCKE 2013, 461-465, 2013 | 13 | 2013 |
| Fast recursive segmentation algorithm based on Kapur's entropy H Kiani, R Safabakhsh, E Khadangi 2009 2nd international conference on computer, control and communication, 1-6, 2009 | 12 | 2009 |
| Presenting novel application-based centrality measures for finding important users based on their activities and social behavior E Khadangi, A Bagheri Computers in Human Behavior 73, 64-79, 2017 | 11 | 2017 |
| Biased sampling from facebook multilayer activity network using learning automata E Khadangi, A Bagheri, A Shahmohammadi Applied Intelligence 45, 829-849, 2016 | 11 | 2016 |
| Application of artificial neural networks in establishing regime channel relationships E Khadangi, HR Madvar, H Kiani 2009 2nd International Conference on Computer, Control and Communication, 1-6, 2009 | 9 | 2009 |
| Designing a Model for Improving Banking Recommender Systems Based on Predicting Customers’ Interests: Application of Data Mining Techniques MS Motaharinejad, MM Zolfagharzadeh, E Khadangi, AA Sadabadi Journal of Information Technology Management 8 (2), 393-314, 2016 | 6 | 2016 |
| The Study on Quranic Surahs' Topic Sameness Using NLP Techniques E Khadangi, MM Fazeli, A Shahmohammadi 2018 8th International Conference on Computer and Knowledge Engineering …, 2018 | 3 | 2018 |
| The Study on Qur'anic surahs' Structured-ness and their Order Organization Using NLP Techniques E Khadangi, MM Fazeli, M Naghavi Journal of Interdisciplinary Qur'anic Studies 1 (2), 2022 | 1 | 2022 |
| Presenting a computing method for finding the central verse of Quranic surahs M Ahmadi, E Khadangi, SP Shariatpanahi, MH Foroughmand-Araabi 2018 8th International Conference on Computer and Knowledge Engineering …, 2018 | 1 | 2018 |
| Study of the Organization of the Qur’anic Surahs Using the Similarity-Based Approach in Deep Learning E Khadangi, M Shabani Journal of Interdisciplinary Qur'anic Studies, 2024 | | 2024 |
| QMorphVec: A Morphologically-Aware Embedding of Quranic Vocabulary D Dastgheib, A Sahebi, E Khadangi, E Asgari 38th Conference on Neural Information Processing Systems, NeurIPS 2024, 2024 | | 2024 |
| Presenting a new motif-based link prediction for predicting activities in Facebook E Khadangi, A Shahmohammadi, S Zal, HR Esmaeili Computer Communications 184, 137-148, 2022 | | 2022 |
| Analyzing Different Facebook Activity Networks E Khadangi, A Bagheri LAP LAMBERT Academic Publishing, 2017 | | 2017 |
| Comparison of ANFIS and RBF Models in Daily Stream flow Forecasting MM Ebadzadeh, H Riahi-Madvar, E Khadangi | | 2008 |
Alireza BagheriAssociate Prof. of Computer Science, Amirkabir University of TechnologyCorreu electrònic verificat a aut.ac.ir