Towards Learning and Classifying Spatio-Temporal Activities in a Stream Processing Framework. - Mattias Tiger; Fredrik Heintz (STAIRS, 2014)

Online sparse Gaussian process regression for trajectory modeling. - Mattias Tiger; Fredrik Heintz (FUSION, 2015)

Towards Unsupervised Learning, Classification and Prediction of Activities in a Stream-Based Framework. - Mattias Tiger; Fredrik Heintz (SCAI, 2015)

Stream Reasoning Using Temporal Logic and Predictive Probabilistic State Models. - Mattias Tiger; Fredrik Heintz (TIME, 2016)

Receding-Horizon Lattice-Based Motion Planning with Dynamic Obstacle Avoidance. - Olov Andersson; Oskar Ljungqvist; Mattias Tiger; Daniel Axehill; Fredrik Heintz (CDC, 2018)

Gaussian Process Based Motion Pattern Recognition with Sequential Local Models. - Mattias Tiger; Fredrik Heintz (Intelligent Vehicles Symposium, 2018)

A Second Screen Journey to the Cup: Twitter Dynamics During the Stanley Cup Playoffs. - Daniel de Leng; Mattias Tiger; Mathias Almquist; Viktor Almquist; Niklas Carlsson (TMA, 2018)

Efficient Autonomous Exploration Planning of Large-Scale 3-D Environments. - Magnus Selin; Mattias Tiger; Daniel Duberg; Fredrik Heintz; Patric Jensfelt (IEEE Robotics Autom. Lett., 2019)

Towards Utilitarian Combinatorial Assignment with Deep Neural Networks and Heuristic Algorithms. - Fredrik Präntare; Mattias Tiger; David Bergström 002; Herman Appelgren; Fredrik Heintz (TAILOR, 2020)

Incremental reasoning in probabilistic Signal Temporal Logic. - Mattias Tiger; Fredrik Heintz (Int. J. Approx. Reason., 2020)

Enhancing Lattice-Based Motion Planning With Introspective Learning and Reasoning. - Mattias Tiger; David Bergström 002; Andreas Norrstig; Fredrik Heintz (IEEE Robotics Autom. Lett., 2021)

Learning Heuristics for Combinatorial Assignment by Optimally Solving Subproblems. - Fredrik Präntare; Herman Appelgren; Mattias Tiger; David Bergström 002; Fredrik Heintz (AAMAS, 2022)

Coverage Path Planning in Large-scale Multi-floor Urban Environments with Applications to Autonomous Road Sweeping. - Daniel Engelsons; Mattias Tiger; Fredrik Heintz (ICRA, 2022)

Safety-Aware Autonomous Systems: Preparing Robots for Life in the Real World. - Mattias Tiger (2022)

On-Demand Multi-Agent Basket Picking for Shopping Stores. - Mattias Tiger; David Bergström 002; Simon Wijk Stranius; Evelina Holmgren; Daniel de Leng; Fredrik Heintz (ICRA, 2023)

Autonomous 3D Exploration in Large-Scale Environments with Dynamic Obstacles. - Emil Wiman; Ludvig Widén; Mattias Tiger; Fredrik Heintz (ICRA, 2024)

Enhancing Safety via Deep Reinforcement Learning in Trajectory Planning for Agile Flights in Unknown Environments. - Lidia Rocha; Jorge Bidinotto; Fredrik Heintz; Mattias Tiger; Kelen Vivaldini (IROS, 2024)

Deep Temporal Deaggregation: Large-Scale Spatio-Temporal Generative Models. - David Bergström 002; Mattias Tiger; Fredrik Heintz (CoRR, 2024)

Exploratory Visual Analysis for Increasing Data Readiness in Artificial Intelligence Projects. - Mattias Tiger; Daniel Jakobsson; Anders Ynnerman; Fredrik Heintz; Daniel Jönsson (CoRR, 2024)