9 citations · 21 across the 8 of their papers we have counts for
8 papers
Accurate Passive Radar via an Uncertainty-Aware Fusion of Wi-Fi Sensing Data
Marco Cominelli, Francesco Gringoli, Lance M. Kaplan +2
Wi-Fi devices can effectively be used as passive radar systems that sense what happens in the surroundings and can even discern human activity. We propose, for the first time, a pr…
Uncertainty-Aware Reward-based Deep Reinforcement Learning for Intent Analysis of Social Media Information
Zhen Guo, Qi Zhang, Xinwei An +6
Due to various and serious adverse impacts of spreading fake news, it is often known that only people with malicious intent would propagate fake news. However, it is not necessaril…
PPO-UE: Proximal Policy Optimization via Uncertainty-Aware Exploration
Qisheng Zhang, Zhen Guo, Audun Jøsang +4
Proximal Policy Optimization (PPO) is a highly popular policy-based deep reinforcement learning (DRL) approach. However, we observe that the homogeneous exploration process in PPO…
Research Note on Uncertain Probabilities and Abstract Argumentation
Pietro Baroni, Federico Cerutti, Massimiliano Giacomin +2
The sixth assessment of the international panel on climate change (IPCC) states that "cumulative net CO2 emissions over the last decade (2010-2019) are about the same size as the 1…
SOLBP: Second-Order Loopy Belief Propagation for Inference in Uncertain Bayesian Networks
Conrad D. Hougen, Lance M. Kaplan, Magdalena Ivanovska +3
In second-order uncertain Bayesian networks, the conditional probabilities are only known within distributions, i.e., probabilities over probabilities. The delta-method has been ap…
Automatic Concept Extraction for Concept Bottleneck-based Video Classification
Jeya Vikranth Jeyakumar, Luke Dickens, Luis Garcia +7
Recent efforts in interpretable deep learning models have shown that concept-based explanation methods achieve competitive accuracy with standard end-to-end models and enable reaso…
Using DeepProbLog to perform Complex Event Processing on an Audio Stream
Marc Roig Vilamala, Tianwei Xing, Harrison Taylor +6
In this paper, we present an approach to Complex Event Processing (CEP) that is based on DeepProbLog. This approach has the following objectives: (i) allowing the use of subsymboli…
Towards human-agent knowledge fusion (HAKF) in support of distributed coalition teams
Dave Braines, Federico Cerutti, Marc Roig Vilamala +3
Future coalition operations can be substantially augmented through agile teaming between human and machine agents, but in a coalition context these agents may be unfamiliar to the…