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20092026
most citedFrom Hand-Crafted to Deep Learning-based Cancer Radiomics: Challenges and Opportunities

304 citations · 1.7k across the 93 of their papers we have counts for

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Showing 2022Show all

12 papers · 1 filter

cs.LG2022★ 31 cited

Graph Federated Learning for CIoT Devices in Smart Home Applications

Arash Rasti-Meymandi, Seyed Mohammad Sheikholeslami, Jamshid Abouei +1

This paper deals with the problem of statistical and system heterogeneity in a cross-silo Federated Learning (FL) framework where there exist a limited number of Consumer Internet…

cs.LG2022

Active Inference and Reinforcement Learning: A unified inference on continuous state and action spaces under partial observability

Parvin Malekzadeh, Konstantinos N. Plataniotis

Reinforcement learning (RL) has garnered significant attention for developing decision-making agents that aim to maximize rewards, specified by an external supervisor, within fully…

eess.IV2022★ 2 cited

Spatio-Temporal Hybrid Fusion of CAE and SWIn Transformers for Lung Cancer Malignancy Prediction

Sadaf Khademi, Shahin Heidarian, Parnian Afshar +4

The paper proposes a novel hybrid discovery Radiomics framework that simultaneously integrates temporal and spatial features extracted from non-thin chest Computed Tomography (CT)…

cs.LG2022★ 2 cited

ViT-CAT: Parallel Vision Transformers with Cross Attention Fusion for Popularity Prediction in MEC Networks

Zohreh HajiAkhondi-Meybodi, Arash Mohammadi, Ming Hou +2

Mobile Edge Caching (MEC) is a revolutionary technology for the Sixth Generation (6G) of wireless networks with the promise to significantly reduce users' latency via offering stor…

cs.LG2022★ 4 cited

Multi-Content Time-Series Popularity Prediction with Multiple-Model Transformers in MEC Networks

Zohreh HajiAkhondi-Meybodi, Arash Mohammadi, Ming Hou +4

Coded/uncoded content placement in Mobile Edge Caching (MEC) has evolved as an efficient solution to meet the significant growth of global mobile data traffic by boosting the conte…

cs.CV2022★ 2 cited

Error-Aware Spatial Ensembles for Video Frame Interpolation

Zhixiang Chi, Rasoul Mohammadi Nasiri, Zheng Liu +4

Video frame interpolation~(VFI) algorithms have improved considerably in recent years due to unprecedented progress in both data-driven algorithms and their implementations. Recent…