2 citations · 4 across the 6 of their papers we have counts for
6 papers
Multi UAVs Preflight Planning in a Shared and Dynamic Airspace
Amath Sow, Mauricio Rodriguez Cesen, Fabiola Martins Campos de Oliveira +5
Preflight planning for large-scale Unmanned Aerial Vehicle (UAV) fleets in dynamic, shared airspace presents significant challenges, including temporal No-Fly Zones (NFZs), heterog…
AI Application Operations -- A Socio-Technical Framework for Data-driven Organizations
Daniel Jönsson, Mattias Tiger, Stefan Ekberg +3
We outline a comprehensive framework for artificial intelligence (AI) Application Operations (AIAppOps), based on real-world experiences from diverse organizations. Data-driven pro…
Exploratory Visual Analysis for Increasing Data Readiness in Artificial Intelligence Projects
Mattias Tiger, Daniel Jakobsson, Anders Ynnerman +2
We present experiences and lessons learned from increasing data readiness of heterogeneous data for artificial intelligence projects using visual analysis methods. Increasing the d…
Deep Temporal Deaggregation: Large-Scale Spatio-Temporal Generative Models
David Bergström, Mattias Tiger, Fredrik Heintz
Many of today's data is time-series data originating from various sources, such as sensors, transaction systems, or production systems. Major challenges with such data include priv…
Autonomous 3D Exploration in Large-Scale Environments with Dynamic Obstacles
Emil Wiman, Ludvig Widén, Mattias Tiger +1
Exploration in dynamic and uncertain real-world environments is an open problem in robotics and constitutes a foundational capability of autonomous systems operating in most of the…
Towards Utilitarian Combinatorial Assignment with Deep Neural Networks and Heuristic Algorithms
Fredrik Präntare, Mattias Tiger, David Bergström +2
This paper presents preliminary work on using deep neural networks to guide general-purpose heuristic algorithms for performing utilitarian combinatorial assignment. In more detail…