58 citations · 175 across the 25 of their papers we have counts for
6 papers · 1 filter
A Derivative-free Method for Quantum Perceptron Training in Multi-layered Neural Networks
Tariq M. Khan, Antonio Robles-Kelly
In this paper, we present a gradient-free approach for training multi-layered neural networks based upon quantum perceptrons. Here, we depart from the classical perceptron and the…
Feature Extraction Functions for Neural Logic Rule Learning
Shashank Gupta, Antonio Robles-Kelly, Mohamed Reda Bouadjenek
Combining symbolic human knowledge with neural networks provides a rule-based ante-hoc explanation of the output. In this paper, we propose feature extracting functions for integra…
Toward a Deep Learning-Driven Intrusion Detection Approach for Internet of Things
Mengmeng Ge, Naeem Firdous Syed, Xiping Fu +2
Internet of Things (IoT) has brought along immense benefits to our daily lives encompassing a diverse range of application domains that we regularly interact with, ranging from hea…
Deep Patch-based Human Segmentation
Dongbo Zhang, Zheng Fang, Xuequan Lu +4
3D human segmentation has seen noticeable progress in re-cent years. It, however, still remains a challenge to date. In this paper, weintroduce a deep patch-based method for 3D hum…
Hierarchically Fair Federated Learning
Jingfeng Zhang, Cheng Li, Antonio Robles-Kelly +1
When the federated learning is adopted among competitive agents with siloed datasets, agents are self-interested and participate only if they are fairly rewarded. To encourage the…
Incorporating Expert Prior Knowledge into Experimental Design via Posterior Sampling
Cheng Li, Sunil Gupta, Santu Rana +3
Scientific experiments are usually expensive due to complex experimental preparation and processing. Experimental design is therefore involved with the task of finding the optimal…