Karim Abbasi
Karim Abbasi
Postdoctoral Research Fellow at Sharif University of Technology
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Zitiert von
Zitiert von
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, 2020
Transfer subspace learning via low-rank and discriminative reconstruction matrix
P Razzaghi, P Razzaghi, K Abbasi
Knowledge-based systems 163, 174-185, 2019
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
Deep transferable compound representation across domains and tasks for low data drug discovery
K Abbasi, A Poso, J Ghasemi, M Amanlou, A Masoudi-Nejad
Journal of chemical information and modeling 59 (11), 4528-4539, 2019
AutoDTI++: deep unsupervised learning for DTI prediction by autoencoders
SZ Sajadi, MA Zare Chahooki, S Gharaghani, K Abbasi
BMC bioinformatics 22 (1), 1-19, 2021
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
Modality adaptation in multimodal data
P Razzaghi, K Abbasi, M Shirazi, N Shabani
Expert Systems with Applications 179, 115126, 2021
Multimodal brain tumor detection using multimodal deep transfer learning
P Razzaghi, K Abbasi, M Shirazi, S Rashidi
Applied Soft Computing, 109631, 2022
TripletMultiDTI: Multimodal Representation Learning in Drug-Target Interaction Prediction
A Dehghan, P Razzaghi, K Abbasi, S Gharaghani
Design of a bioinformatics model to predict drug compound properties and its application in inhibition of HIV replication and BACE-1
K Abbasi, A Masoudi-Nejad
Genetic Engineering and Biosafety Journal 9 (2), 181-193, 2020
Incorporating Part-whole Hierarchies into Fully Convolutional Network for Scene Parsing
K Abbasi, P Razzaghi
Expert Systems with Applications, 2020
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