| Deep learning approach on information diffusion in heterogeneous networks S Molaei, H Zare, H Veisi Knowledge-Based Systems, 2019 | 56 | 2019 |
| Deep Learning Approach on Information Diffusion in Heterogeneous Networks S Molaei, H Zare, H Veisi https://arxiv.org/abs/1902.08810, 2019 | 56 | 2019 |
| Leveraging deep graph-based text representation for sentiment polarity applications K Bijari, H Zare, E Kebriaei, H Veisi Expert Systems with Applications 144, 113090, 2020 | 51 | 2020 |
| IEDC: An Integrated Approach for Overlapping and Non-overlapping Community Detection M Hajiabadi, H Zare, H Bobarshad Knowledge-Based Systems 123, 188-199, 2017 | 46 | 2017 |
| Unsupervised feature selection based on adaptive similarity learning and subspace clustering MG Parsa, H Zare, M Ghatee Engineering Applications of Artificial Intelligence 95, 103855, 2020 | 44 | 2020 |
| Memory-enriched big bang–big crunch optimization algorithm for data clustering K Bijari, H Zare, H Veisi, H Bobarshad Neural Computing and Applications, 1-11, 2016 | 39 | 2016 |
| Ensemble decision forest of RBF networks via hybrid feature clustering approach for high-dimensional data classification S Abpeykar, M Ghatee, H Zare Computational Statistics & Data Analysis 131, 12-36, 2019 | 34 | 2019 |
| A novel hybrid method for improving ambulance dispatching response time through a simulation study M Zarkeshzadeh, H Zare, Z Heshmati, M Teimouri Simulation Modelling Practice and Theory 60, 170-184, 2016 | 26 | 2016 |
| Relevant based structure learning for feature selection H Zare, M Niazi Engineering Applications of Artificial Intelligence 55, 93-102, 2016 | 24 | 2016 |
| Collaborative deep forest learning for recommender systems S Molaei, A Havvaei, H Zare, M Jalili IEEE Access 9, 22053-22061, 2021 | 21 | 2021 |
| Enhanced recommender system using predictive network approach H Zare, MAN Pour, P Moradi Physica A: Statistical Mechanics and its Applications 520, 322-337, 2019 | 21 | 2019 |
| Detection of Community Structures in Networks with Nodal Features based on Generative Probabilistic Approach H Zare, M Hajiabadi, M Jalili IEEE Transactions on Knowledge and Data Engineering, 2019 | 20 | 2019 |
| Low-rank dictionary learning for unsupervised feature selection MG Parsa, H Zare, M Ghatee Expert Systems with Applications 202, 117149, 2022 | 19 | 2022 |
| Learning graph representations with maximal cliques S Molaei, NG Bousejin, H Zare, M Jalili, S Pan IEEE Transactions on Neural Networks and Learning Systems 34 (2), 1089-1096, 2021 | 16 | 2021 |
| Deep node clustering based on mutual information maximization S Molaei, NG Bousejin, H Zare, M Jalili Neurocomputing 455, 274-282, 2021 | 14 | 2021 |
| PODCD: Probabilistic overlapping dynamic community detection S Bahadori, H Zare, P Moradi Expert Systems with Applications 174, 114650, 2021 | 14 | 2021 |
| An improved limited random walk approach for identification of overlapping communities in complex networks S Bahadori, P Moradi, H Zare Applied Intelligence 51, 3561-3580, 2021 | 12 | 2021 |
| Graph representation learning based on deep generative gaussian mixture models G Niknam, S Molaei, H Zare, D Clifton, S Pan Neurocomputing 523, 157-169, 2023 | 11 | 2023 |
| Deep Learning approach for text, image, and GIF multimodal sentiment analysis A Shirzad, H Zare, M Teimouri 2020 10th International Conference on Computer and Knowledge Engineering …, 2020 | 10 | 2020 |
| DyVGRNN: DYnamic mixture variational graph recurrent neural networks G Niknam, S Molaei, H Zare, S Pan, M Jalili, T Zhu, D Clifton Neural Networks 165, 596-610, 2023 | 8 | 2023 |
Soheila MolaeiPostdoc, University of OxfordVerified email at eng.ox.ac.uk
