14 citations · 24 across the 4 of their papers we have counts for
5 papers
A Revealing Large-Scale Evaluation of Unsupervised Anomaly Detection Algorithms
Maxime Alvarez, Jean-Charles Verdier, D'Jeff K. Nkashama +3
Anomaly detection has many applications ranging from bank-fraud detection and cyber-threat detection to equipment maintenance and health monitoring. However, choosing a suitable al…
Imagination-Augmented Deep Learning for Goal Recognition
Thibault Duhamel, Mariane Maynard, Froduald Kabanza
Being able to infer the goal of people we observe, interact with, or read stories about is one of the hallmarks of human intelligence. A prominent idea in current goal-recognition…
A Transfer Learning Method for Goal Recognition Exploiting Cross-Domain Spatial Features
Thibault Duhamel, Mariane Maynard, Froduald Kabanza
The ability to infer the intentions of others, predict their goals, and deduce their plans are critical features for intelligent agents. For a long time, several approaches investi…
Cost-Based Goal Recognition Meets Deep Learning
Mariane Maynard, Thibault Duhamel, Froduald Kabanza
The ability to observe the effects of actions performed by others and to infer their intent, most likely goals, or course of action, is known as a plan or intention recognition cog…
Anytime State-Based Solution Methods for Decision Processes with non-Markovian Rewards
Sylvie Thiebaux, Froduald Kabanza, John Slanley
A popular approach to solving a decision process with non-Markovian rewards (NMRDP) is to exploit a compact representation of the reward function to automatically translate the NMR…