Publications

Selected publications. The complete list is on Google Scholar, DiVA and ORCID. My name is in bold.

2026

Upskilling for Advanced Digitization: A Scoping Review
T. K. Osborne, H.-H. Hachem, D. Paulin, O. Hultkrantz, U. Lundqvist, K. Thorén, J. Gulliksen, F. Heintz, A. Loutfi, F. Lee, M. Wiggberg
IEEE Access 14:55299–55313
DOI · DiVA

AI literacy for K-12 education: an international Delphi study
J. Hallström, L. Mannila, C. Nordlöf, F. Heintz, K. Sperling, L. Stenliden
Interactive Learning Environments
DOI · DiVA

A survey of AI-supported materials informatics
S. Chakraborty, J. Björk, M. Dahlqvist, J. Rosén, F. Heintz
Computer Science Review 59:100845
DOI

Scaling transformers for time series forecasting: do pretrained large models outperform small-scale alternatives?
S. Chakraborty, I. Delibasoglu, F. Heintz
Artificial Intelligence Review 59:62
DOI · arXiv

Concise representations and complexity results for welfare-maximizing combinatorial assignment
F. Präntare, L. Eriksson, G. Osipov, F. Heintz, P. Jonsson
Autonomous Agents and Multi-Agent Systems 40:30
DOI

Multi-UAV Preflight Planning in a Shared and Dynamic Airspace
A. Sow, M. Rodriguez, F. M. C. de Oliveira, M. Wzorek, D. de Leng, M. Tiger, F. Heintz et al.
AAMAS 2026
DOI

SRIDA: Charting the Future of a Progressive, Inclusive, and Sustainable European ADR Ecosystem
F. Heintz, K. Linden
In Artificial Intelligence, Data and Robotics, Springer, pp. 29–49
DOI

The geopolitics of AI in global environmental governance
M. Francisco, F. Heintz
In Handbook on the Geopolitics of Sustainability, Edward Elgar, pp. 165–176
DOI

2025

International AI Safety Report
Y. Bengio, S. Mindermann, D. Privitera, T. Besiroglu, R. Bommasani et al. (incl. F. Heintz)
arXiv

FairXAI — A Taxonomy and Framework for Fairness and Explainability Synergy in Machine Learning
R. Ramachandranpillai, R. Baeza-Yates, F. Heintz
IEEE Transactions on Neural Networks and Learning Systems 36:9819–9836
DOI

Promoting Intersectional Fairness through Knowledge Distillation
M. F. Sikder, R. Ramachandranpillai, D. de Leng, F. Heintz
ECAI 2025, pp. 3427–3434
DOI

TransFusion: Generating long, high fidelity time series using diffusion models with transformers
M. F. Sikder, R. Ramachandranpillai, F. Heintz
Machine Learning with Applications 20:100652
DOI

Framing AI Literacy for K-12 Education
L. Mannila, J. Hallström, C. Nordlöf, F. Heintz, K. Sperling, L. Stenliden
ACE ’25, pp. 85–94
DOI

2024

In search of artificial intelligence (AI) literacy in teacher education: A scoping review
K. Sperling, C.-J. Stenberg, C. McGrath, A. Åkerfeldt, F. Heintz, L. Stenliden
Computers and Education Open 6:100169
DOI

Grounding Stream Reasoning Research
P. Bonte, J.-P. Calbimonte, D. de Leng, D. Dell’Aglio, E. Della Valle, T. Eiter, F. Giannini, F. Heintz et al.
Transactions on Graph Data and Knowledge 2:2
DOI

Bt-GAN: Generating Fair Synthetic Health Data via Bias-transforming Generative Adversarial Networks
R. Ramachandranpillai, M. F. Sikder, D. Bergström, F. Heintz
Journal of Artificial Intelligence Research 79:1313–1341
DOI

Autonomous 3D Exploration in Large-Scale Environments with Dynamic Obstacles
E. Wiman, L. Widén, M. Tiger, F. Heintz
ICRA 2024, pp. 2389–2395
DOI

Chasing artificial intelligence in shared socioeconomic pathways
H. Carlsen, B. Nykvist, S. Joshi, F. Heintz
One Earth 7:18–22
DOI

2023

Three Levels of AI Transparency
K. Haresamudram, S. Larsson, F. Heintz
Computer 56(2):93–100
DOI

On-Demand Multi-Agent Basket Picking for Shopping Stores
M. Tiger, D. Bergström, S. Wijk Stranius, E. Holmgren, D. de Leng, F. Heintz
ICRA 2023, pp. 5793–5799
DOI · Video

Fair Latent Deep Generative Models (FLDGMs) for Syntax-Agnostic and Fair Synthetic Data Generation
R. Ramachandranpillai, M. F. Sikder, F. Heintz
ECAI 2023, pp. 1938–1945
DOI

2022

A practical guide to multi-objective reinforcement learning and planning
C. F. Hayes, R. Rădulescu, E. Bargiacchi, J. Källström, M. Macfarlane, M. Reymond, T. Verstraeten, L. M. Zintgraf, R. Dazeley, F. Heintz et al.
Autonomous Agents and Multi-Agent Systems 36:26
DOI

Scalar reward is not enough: a response to Silver, Singh, Precup and Sutton (2021)
P. Vamplew, B. J. Smith, J. Källström, G. Ramos, R. Rădulescu, D. M. Roijers, C. F. Hayes, F. Heintz et al.
Autonomous Agents and Multi-Agent Systems 36:41
DOI

Partnership on AI, Data, and Robotics
E. Curry, F. Heintz, M. Irgens, A. W. M. Smeulders, S. Stramigioli
Communications of the ACM 65(4):54–55
DOI

The computational thinking and artificial intelligence duality
F. Heintz
In Computational Thinking Education in K-12, MIT Press, pp. 143–152
DOI

Coverage Path Planning in Large-scale Multi-floor Urban Environments with Applications to Autonomous Road Sweeping
D. Engelsons, M. Tiger, F. Heintz
ICRA 2022, pp. 3328–3334
DOI

2021 and earlier

Anytime Heuristic and Monte Carlo Methods for Large-Scale Simultaneous Coalition Structure Generation and Assignment
F. Präntare, H. Appelgren, F. Heintz
AAAI 2021, pp. 11317–11324
DOI

Enhancing Lattice-Based Motion Planning With Introspective Learning and Reasoning
M. Tiger, D. Bergström, A. Norrstig, F. Heintz
IEEE Robotics and Automation Letters 6:4385–4392
DOI

An anytime algorithm for optimal simultaneous coalition structure generation and assignment
F. Präntare, F. Heintz
Autonomous Agents and Multi-Agent Systems 34:29
DOI

Incremental Reasoning in Probabilistic Signal Temporal Logic
M. Tiger, F. Heintz
International Journal of Approximate Reasoning 119:325–352
DOI

Transparency in artificial intelligence
S. Larsson, F. Heintz
Internet Policy Review 9(2):1–16
DOI

Efficient autonomous exploration planning of large-scale 3-D environments
M. Selin, M. Tiger, D. Duberg, F. Heintz, P. Jensfelt
IEEE Robotics and Automation Letters 4(2):1699–1706
DOI

A review of models for introducing computational thinking, computer science and computing in K-12 education
F. Heintz, L. Mannila, T. Färnqvist
IEEE Frontiers in Education (FIE) 2016, pp. 1–9
DOI

A temporal logic-based planning and execution monitoring framework for unmanned aircraft systems
P. Doherty, J. Kvarnström, F. Heintz
Autonomous Agents and Multi-Agent Systems 19(3):332–377
DOI

Policy reports

Ethics Guidelines for Trustworthy AI · A Definition of AI: Main Capabilities and Disciplines · The Assessment List for Trustworthy Artificial Intelligence (ALTAI)
European Commission High-Level Expert Group on AI, 2019–2020