304 citations · 1.7k across the 93 of their papers we have counts for
5 papers · 2 filters
Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning
Parvin Malekzadeh, Ming Hou, Konstantinos N. Plataniotis
Sample efficiency is central to developing practical reinforcement learning (RL) for complex and large-scale decision-making problems. The ability to transfer and generalize knowle…
A New Probabilistic Distance Metric With Application In Gaussian Mixture Reduction
Ahmad Sajedi, Yuri A. Lawryshyn, Konstantinos N. Plataniotis
This paper presents a new distance metric to compare two continuous probability density functions. The main advantage of this metric is that, unlike other statistical measurements,…
CLSA: Contrastive Learning-based Survival Analysis for Popularity Prediction in MEC Networks
Zohreh Hajiakhondi-Meybodi, Arash Mohammadi, Jamshid Abouei +1
Mobile Edge Caching (MEC) integrated with Deep Neural Networks (DNNs) is an innovative technology with significant potential for the future generation of wireless networks, resulti…
Federated Learning and Blockchain-enabled Fog-IoT Platform for Wearables in Predictive Healthcare
Marc Baucas, Petros Spachos, Konstantinos Plataniotis
Over the years, the popularity and usage of wearable Internet of Things (IoT) devices in several healthcare services are increased. Among the services that benefit from the usage o…
Pseudo-Inverted Bottleneck Convolution for DARTS Search Space
Arash Ahmadian, Louis S. P. Liu, Yue Fei +2
Differentiable Architecture Search (DARTS) has attracted considerable attention as a gradient-based neural architecture search method. Since the introduction of DARTS, there has be…