DeepCDA: deep cross-domain compound–protein affinity prediction through LSTM and convolutional neural networks K Abbasi, P Razzaghi, A Poso, M Amanlou, JB Ghasemi, ... Bioinformatics 36 (17), 4633-4642, 2020 | 159 | 2020 |
Deep learning in drug target interaction prediction: current and future perspectives K Abbasi, P Razzaghi, A Poso, S Ghanbari-Ara, A Masoudi-Nejad Current Medicinal Chemistry 28 (11), 2100-2113, 2021 | 79 | 2021 |
TripletMultiDTI: multimodal representation learning in drug-target interaction prediction with triplet loss function A Dehghan, P Razzaghi, K Abbasi, S Gharaghani Expert Systems with Applications 232, 120754, 2023 | 42 | 2023 |
Transfer subspace learning via low-rank and discriminative reconstruction matrix P Razzaghi, P Razzaghi, K Abbasi Knowledge-based systems 163, 174-185, 2019 | 38 | 2019 |
Bag of visual words approach for image retrieval using color information N Mansoori, M Nejati, P Razzaghi, S Samavi | 36* | |
Multimodal brain tumor detection using multimodal deep transfer learning P Razzaghi, K Abbasi, M Shirazi, S Rashidi Applied Soft Computing 129, 109631, 2022 | 33 | 2022 |
Modality adaptation in multimodal data P Razzaghi, K Abbasi, M Shirazi, N Shabani Expert Systems with Applications 179, 115126, 2021 | 19 | 2021 |
CCL-DTI: contributing the contrastive loss in drug–target interaction prediction A Dehghan, K Abbasi, P Razzaghi, H Banadkuki, S Gharaghani BMC bioinformatics 25 (1), 48, 2024 | 16 | 2024 |
DeepCompoundNet: enhancing compound–protein interaction prediction with multimodal convolutional neural networks F Palhamkhani, M Alipour, A Dehnad, K Abbasi, P Razzaghi, JB Ghasemi Journal of Biomolecular Structure and Dynamics, 1-10, 2023 | 15 | 2023 |
Learning Spatial Hierarchies of High-level Features in Deep Neural Network P Razzaghi, K Abbasi, P Bayat Journal of Visual Communication and Image Representation, 2020 | 15 | 2020 |
A new fast approach to nonparametric scene parsing P Razzaghi, S Samavi Pattern Recognition Letters 42, 56-64, 2014 | 14 | 2014 |
Image retargeting using nonparametric semantic segmentation P Razzaghi, S Samavi Multimedia Tools and Applications 74, 11517-11536, 2015 | 11 | 2015 |
Parametric and nonparametric context models: A unified approach to scene parsing P Aliniya, P Razzaghi Pattern Recognition 84, 165-181, 2018 | 10 | 2018 |
Multivariate pattern recognition by machine learning methods P Razzaghi, K Abbasi, JB Ghasemi Machine learning and pattern recognition methods in chemistry from …, 2023 | 9 | 2023 |
Self-taught support vector machines P Razzaghi Knowledge and Information Systems 59, 685-709, 2019 | 9 | 2019 |
A new invariant descriptor for action recognition based on spherical harmonics P Razzaghi, M Palhang, N Gheissari Pattern Analysis and Applications 16, 507-518, 2013 | 9 | 2013 |
CFSSynergy: combining feature-based and similarity-based methods for drug synergy prediction F Rafiei, H Zeraati, K Abbasi, P Razzaghi, JB Ghasemi, M Parsaeian, ... Journal of Chemical Information and Modeling 64 (7), 2577-2585, 2024 | 7 | 2024 |
Texture classification using dominant gradient descriptor M Mokhtari, P Razzaghi, S Samavi 2013 8th Iranian Conference on Machine Vision and Image Processing (MVIP …, 2013 | 7 | 2013 |
Incorporating part-whole hierarchies into fully convolutional network for scene parsing K Abbasi, P Razzaghi Expert Systems with Applications 160, 113662, 2020 | 6 | 2020 |
An intelligent safety system for human-centered semi-autonomous vehicles H Abdi Khojasteh, A Abbas Alipour, E Ansari, P Razzaghi Data Science: From Research to Application, 322-336, 2020 | 6 | 2020 |