24 citations · 67 across the 6 of their papers we have counts for
8 papers
Conversational Agents: Theory and Applications
Mattias Wahde, Marco Virgolin
In this chapter, we provide a review of conversational agents (CAs), discussing chatbots, intended for casual conversation with a user, as well as task-oriented agents that general…
The five Is: Key principles for interpretable and safe conversational AI
Mattias Wahde, Marco Virgolin
In this position paper, we present five key principles, namely interpretability, inherent capability to explain, independent data, interactive learning, and inquisitiveness, for th…
Model Learning with Personalized Interpretability Estimation (ML-PIE)
Marco Virgolin, Andrea De Lorenzo, Francesca Randone +2
High-stakes applications require AI-generated models to be interpretable. Current algorithms for the synthesis of potentially interpretable models rely on objectives or regularizat…
Lidar-Camera Co-Training for Semi-Supervised Road Detection
Luca Caltagirone, Lennart Svensson, Mattias Wahde +1
Recent advances in the field of machine learning and computer vision have enabled the development of fast and accurate road detectors. Commonly such systems are trained within a su…
LIDAR-Camera Fusion for Road Detection Using Fully Convolutional Neural Networks
Luca Caltagirone, Mauro Bellone, Lennart Svensson +1
In this work, a deep learning approach has been developed to carry out road detection by fusing LIDAR point clouds and camera images. An unstructured and sparse point cloud is firs…
LIDAR-based Driving Path Generation Using Fully Convolutional Neural Networks
Luca Caltagirone, Mauro Bellone, Lennart Svensson +1
In this work, a novel learning-based approach has been developed to generate driving paths by integrating LIDAR point clouds, GPS-IMU information, and Google driving directions. Th…
Fast LIDAR-based Road Detection Using Fully Convolutional Neural Networks
Luca Caltagirone, Samuel Scheidegger, Lennart Svensson +1
In this work, a deep learning approach has been developed to carry out road detection using only LIDAR data. Starting from an unstructured point cloud, top-view images encoding sev…
Determination of orbital parameters of interacting galaxies using a genetic algorithm. Description of the method and application to artificial data
M. Wahde
A method for determining the orbital parameters of interacting pairs of galaxies is presented and evaluated using artificial data. The method consists of a genetic algorithm which…