163 citations · 724 across the 59 of their papers we have counts for
4 papers · 1 filter
Domain Adaptation and Generalization on Functional Medical Images: A Systematic Survey
Gita Sarafraz, Armin Behnamnia, Mehran Hosseinzadeh +3
Machine learning algorithms have revolutionized different fields, including natural language processing, computer vision, signal processing, and medical data processing. Despite th…
SCGG: A Deep Structure-Conditioned Graph Generative Model
Faezeh Faez, Negin Hashemi Dijujin, Mahdieh Soleymani Baghshah +1
Deep learning-based graph generation approaches have remarkable capacities for graph data modeling, allowing them to solve a wide range of real-world problems. Making these methods…
SOInter: A Novel Deep Energy Based Interpretation Method for Explaining Structured Output Models
S. Fatemeh Seyyedsalehi, Mahdieh Soleymani, Hamid R. Rabiee
We propose a novel interpretation technique to explain the behavior of structured output models, which learn mappings between an input vector to a set of output variables simultane…
LAP: An Attention-Based Module for Concept Based Self-Interpretation and Knowledge Injection in Convolutional Neural Networks
Rassa Ghavami Modegh, Ahmad Salimi, Alireza Dizaji +1
Despite the state-of-the-art performance of deep convolutional neural networks, they are susceptible to bias and malfunction in unseen situations. Moreover, the complex computation…