FCFoo99. - Fredrik Heintz (RoboCup, 1999)

The NOAI Team Description. - Anneli Dahlström; Fredrik Heintz; Martin Jacobsson; Johan Thapper; Martin Öberg (RoboCup, 2000)

Using Simulated RoboCup in Undergraduate Education. - Fredrik Heintz; Johan Kummeneje; Paul Scerri (RoboCup, 2000)

Using Simulated RoboCup to Teach AI in Undergraduate Education. - Fredrik Heintz; Johan Kummeneje; Paul Scerri (SCAI, 2001)

A Distributed Architecture for Autonomous Unmanned Aerial Vehicle Experimentation. - Patrick Doherty 001; Patrik Haslum; Fredrik Heintz; T. Merz; Per Nyblom; T. Persson; B. Wingman (DARS, 2004)

DyKnow: A Framework for Processing Dynamic Knowledge and Object Structures in Autonomous Systems. - Fredrik Heintz; Patrick Doherty 001 (MSRAS, 2004)

DyKnow: An approach to middleware for knowledge processing. - Fredrik Heintz; Patrick Doherty 001 (J. Intell. Fuzzy Syst., 2004)

A knowledge processing middleware framework and its relation to the JDL data fusion model. - Fredrik Heintz; Patrick Doherty 001 (J. Intell. Fuzzy Syst., 2006)

From images to traffic behavior - A UAV tracking and monitoring application. - Fredrik Heintz; Piotr Rudol; Patrick Doherty 001 (FUSION, 2007)

Bridging the Sense-Reasoning Gap Using DyKnow: A Knowledge Processing Middleware Framework. - Fredrik Heintz; Piotr Rudol; Patrick Doherty 001 (KI, 2007)

A Temporal Logic-Based Planning and Execution Monitoring System. - Jonas Kvarnström; Fredrik Heintz; Patrick Doherty 001 (ICAPS, 2008)

Dynamic test selection for reconfigurable diagnosis. - Mattias Krysander; Fredrik Heintz; Jacob Roll; Erik Frisk (CDC, 2008)

DyKnow federations: Distributing and merging information among UAVs. - Fredrik Heintz; Patrick Doherty 001 (FUSION, 2008)

Knowledge Processing Middleware. - Fredrik Heintz; Jonas Kvarnström; Patrick Doherty 001 (SIMPAR, 2008)

A stream-based hierarchical anchoring framework. - Fredrik Heintz; Jonas Kvarnström; Patrick Doherty 001 (IROS, 2009)

A temporal logic-based planning and execution monitoring framework for unmanned aircraft systems. - Patrick Doherty 001; Jonas Kvarnström; Fredrik Heintz (Auton. Agents Multi Agent Syst., 2009)

DyKnow : A Stream-Based Knowledge Processing Middleware Framework. - Fredrik Heintz (2009)

Stream-Based Middleware Support for Embedded Reasoning. - Fredrik Heintz; Jonas Kvarnström; Patrick Doherty 001 (AAAI Spring Symposium: Embedded Reasoning, 2010)

A Delegation-Based Architecture for Collaborative Robotics. - Patrick Doherty 001; Fredrik Heintz; David Landén (AOSE, 2010)

Research with Collaborative Unmanned Aircraft Systems. - Patrick Doherty 001; Jonas Kvarnström; Fredrik Heintz; David Landén; Per-Magnus Olsson (Cognitive Robotics, 2010)

Stream-Based Reasoning in DyKnow. - Fredrik Heintz; Jonas Kvarnström; Patrick Doherty 001 (Cognitive Robotics, 2010)

Stream-Based Reasoning Support for Autonomous Systems. - Fredrik Heintz; Jonas Kvarnström; Patrick Doherty 001 (ECAI, 2010)

Federated DyKnow, a distributed information fusion system for collaborative UAVs. - Fredrik Heintz; Patrick Doherty 001 (ICARCV, 2010)

A Distributed Task Specification Language for Mixed-Initiative Delegation. - Patrick Doherty 001; Fredrik Heintz; David Landén (PRIMA, 2010)

Complex Task Allocation in Mixed-Initiative Delegation: A UAV Case Study. - David Landén; Fredrik Heintz; Patrick Doherty 001 (PRIMA, 2010)

Bridging the sense-reasoning gap: DyKnow - Stream-based middleware for knowledge processing. - Fredrik Heintz; Jonas Kvarnström; Patrick Doherty 001 (Adv. Eng. Informatics, 2010)

FlexDx: A reconfigurable diagnosis framework. - Mattias Krysander; Fredrik Heintz; Jacob Roll; Erik Frisk (Eng. Appl. Artif. Intell., 2010)

A delegation-based cooperative robotic framework. - Patrick Doherty 001; Fredrik Heintz (ROBIO, 2011)

Semantic information integration for stream reasoning. - Fredrik Heintz; Zlatan Dragisic (FUSION, 2012)

Semantic information integration with transformations for stream reasoning. - Fredrik Heintz; Daniel de Leng (FUSION, 2013)

Semantically grounded stream reasoning integrated with ROS. - Fredrik Heintz (IROS, 2013)

Robotics, Temporal Logic and Stream Reasoning. - Patrick Doherty 001; Fredrik Heintz; Jonas Kvarnström (LPAR (short papers), 2013)

Stream-Based Hierarchical Anchoring. - Fredrik Heintz; Jonas Kvarnström; Patrick Doherty 001 (Künstliche Intell., 2013)

Spatio-Temporal Stream Reasoning with Incomplete Spatial Information. - Fredrik Heintz; Daniel de Leng (ECAI, 2014)

A Low-Level Active Vision Framework for Collaborative Unmanned Aircraft Systems. - Martin Danelljan; Fahad Shahbaz Khan; Michael Felsberg; Karl Granström; Fredrik Heintz; Piotr Rudol; Mariusz Wzorek; Jonas Kvarnström; Patrick Doherty 001 (ECCV Workshops (1), 2014)

Towards on-demand semantic event processing for stream reasoning. - Daniel de Leng; Fredrik Heintz (FUSION, 2014)

The design of Sweden's first 5-year computer science and software engineering program. - Fredrik Heintz; Inger Erlander Klein (SIGCSE, 2014)

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

Model-Based Reinforcement Learning in Continuous Environments Using Real-Time Constrained Optimization. - Olov Andersson; Fredrik Heintz; Patrick Doherty 001 (AAAI, 2015)

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

Ontology-Based Introspection in Support of Stream Reasoning. - Daniel de Leng; Fredrik Heintz (JOWO@IJCAI, 2015)

Computing at School in Sweden - Experiences from Introducing Computer Science within Existing Subjects. - Fredrik Heintz; Linda Mannila; Karin Nygårds; Peter Parnes; Björn Regnell (ISSEP, 2015)

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

Qualitative Spatio-Temporal Stream Reasoning with Unobservable Intertemporal Spatial Relations Using Landmarks. - Daniel de Leng; Fredrik Heintz (AAAI, 2016)

A review of models for introducing computational thinking, computer science and computing in K-12 education. - Fredrik Heintz; Linda Mannila; Tommy Färnqvist (FIE, 2016)

Competition and Feedback through Automated Assessment in a Data Structures and Algorithms Course. - Tommy Färnqvist; Fredrik Heintz (ITiCSE, 2016)

Supporting Active Learning by Introducing an Interactive Teaching Tool in a Data Structures and Algorithms Course. - Tommy Färnqvist; Fredrik Heintz; Patrick Lambrix; Linda Mannila; Chunyan Wang 003 (SIGCSE, 2016)

DyKnow: A dynamically reconfigurable stream reasoning framework as an extension to the robot operating system. - Daniel de Leng; Fredrik Heintz (SIMPAR, 2016)

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

Cognitive robotics. - Mehul Bhatt; Esra Erdem 001; Fredrik Heintz; Michael Spranger (J. Exp. Theor. Artif. Intell., 2016)

Editorial: Special Issue on Safety, Security, and Rescue Robotics (SSRR), Part 1. - Alexander Kleiner; Fredrik Heintz; Satoshi Tadokoro (J. Field Robotics, 2016)

Editorial: Special Issue on Safety, Security, and Rescue Robotics (SSRR), Part 2. - Alexander Kleiner; Fredrik Heintz; Satoshi Tadokoro (J. Field Robotics, 2016)

Towards adaptive semantic subscriptions for stream reasoning in the robot operating system. - Daniel de Leng; Fredrik Heintz (IROS, 2017)

Introducing Programming and Digital Competence in Swedish K-9 Education. - Fredrik Heintz; Linda Mannila; Lars-Åke Norden; Peter Parnes; Björn Regnell (ISSEP, 2017)

An Algorithm for Simultaneous Coalition Structure Generation and Task Assignment. - Fredrik Präntare; Ingemar Ragnemalm; Fredrik Heintz (PRIMA, 2017)

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)

Partial-State Progression for Stream Reasoning with Metric Temporal Logic. - Daniel de Leng; Fredrik Heintz (KR, 2018)

An Anytime Algorithm for Simultaneous Coalition Structure Generation and Assignment. - Fredrik Präntare; Fredrik Heintz (PRIMA, 2018)

Computational thinking for all: an experience report on scaling up teaching computational thinking to all students in a major city in Sweden. - Fredrik Heintz; Linda Mannila (Inroads, 2018)

Approximate Stream Reasoning with Metric Temporal Logic under Uncertainty. - Daniel de Leng; Fredrik Heintz (AAAI, 2019)

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)

Special issue on stream reasoning. - Daniele Dell'Aglio; Thomas Eiter; Fredrik Heintz; Danh Le Phuoc (Semantic Web, 2019)

Hybrid Dynamic Programming for Simultaneous Coalition Structure Generation and Assignment. - Fredrik Präntare; Fredrik Heintz (PRIMA, 2020)

Agent Coordination in Air Combat Simulation using Multi-Agent Deep Reinforcement Learning. - Johan Källström; Fredrik Heintz (SMC, 2020)

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

Programming in primary education: towards a research based assessment framework. - Linda Mannila; Fredrik Heintz; Susanne Kjällander; Anna Åkerfeldt (WiPSCE, 2020)

An anytime algorithm for optimal simultaneous coalition structure generation and assignment. - Fredrik Präntare; Fredrik Heintz (Auton. Agents Multi Agent Syst., 2020)

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

Transparency in artificial intelligence. - Stefan Larsson; Fredrik Heintz (Internet Policy Rev., 2020)

Anytime Heuristic and Monte Carlo Methods for Large-Scale Simultaneous Coalition Structure Generation and Assignment. - Fredrik Präntare; Herman Appelgren; Fredrik Heintz (AAAI, 2021)

Three Interviews About K-12 AI Education in America, Europe, and Singapore. - Fredrik Heintz (Künstliche Intell., 2021)

Education in Artificial Intelligence K-12. - Gerald Steinbauer; Martin Kandlhofer; Tara Chklovski; Fredrik Heintz; Sven Koenig (Künstliche Intell., 2021)

A Differentiated Discussion About AI Education K-12. - Gerald Steinbauer; Martin Kandlhofer; Tara Chklovski; Fredrik Heintz; Sven Koenig (Künstliche Intell., 2021)

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)

Exploring programming didactics in primary school - a gender perspective. - Anna Åkerfeldt; Susanne Kjällander; Linda Mannila; Fredrik Heintz (FIE, 2022)

Signs of learning in middle school computing education. - Susanne Kjällander; Anna Åkerfeldt; Linda Mannila; Fredrik Heintz (FIE, 2022)

Exploring Gender Differences in Primary School Programming. - Linda Mannila; Anna Åkerfeldt; Susanne Kjällander; Fredrik Heintz (FIE, 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)

A practical guide to multi-objective reinforcement learning and planning. - Conor F. Hayes; Roxana Radulescu; Eugenio Bargiacchi; Johan Källström; Matthew Macfarlane; Mathieu Reymond; Timothy Verstraeten; Luisa M. Zintgraf; Richard Dazeley; Fredrik Heintz; Enda Howley; Athirai A. Irissappane; et al. (Auton. Agents Multi Agent Syst., 2022)

Scalar reward is not enough: a response to Silver, Singh, Precup and Sutton (2021). - Peter Vamplew 001; Benjamin J. Smith; Johan Källström; Gabriel de Oliveira Ramos; Roxana Radulescu; Diederik M. Roijers; Conor F. Hayes; Fredrik Heintz; Patrick Mannion; Pieter J. K. Libin; Richard Dazeley; Cameron Foale (Auton. Agents Multi Agent Syst., 2022)

Partnership on AI, data, and robotics. - Edward Curry; Fredrik Heintz; Morten Irgens; Arnold W. M. Smeulders; Stefano Stramigioli (Commun. ACM, 2022)

Cognitive Robotics (Dagstuhl Seminar 22391). - Fredrik Heintz; Gerhard Lakemeyer; Sheila A. McIlraith (Dagstuhl Reports, 2022)

Achieving a Data-Driven Risk Assessment Methodology for Ethical AI. - Anna Felländer; Jonathan Rebane; Stefan Larsson; Mattias Wiggberg; Fredrik Heintz (Digit. Soc., 2022)

A Brief Guide to Multi-Objective Reinforcement Learning and Planning. - Conor F. Hayes; Roxana Radulescu; Eugenio Bargiacchi; Johan Källström; Matthew Macfarlane; Mathieu Reymond; Timothy Verstraeten; Luisa M. Zintgraf; Richard Dazeley; Fredrik Heintz; Enda Howley; Athirai A. Irissappane; et al. (AAMAS, 2023)

Model-Based Actor-Critic for Multi-Objective Reinforcement Learning with Dynamic Utility Functions. - Johan Källström; Fredrik Heintz (AAMAS, 2023)

Fair Latent Deep Generative Models (FLDGMs) for Syntax-Agnostic and Fair Synthetic Data Generation. - Resmi RamachandranPillai; Md. Fahim Sikder; Fredrik Heintz (ECAI, 2023)

Trustworthy AI Governance (panel). - Fredrik Heintz; Csaba Csáki; Flávia Bernardini; Roel Dobbe (EGOV-CeDEM-ePart-*, 2023)

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)

TransFusion: Generating Long, High Fidelity Time Series using Diffusion Models with Transformers. - Md. Fahim Sikder; Resmi RamachandranPillai; Fredrik Heintz (CoRR, 2023)

Three Levels of AI Transparency. - Prahalad Kashyap Haresamudram; Stefan Larsson; Fredrik Heintz (Computer, 2023)

Hierarchical goals contextualize local reward decomposition explanations. - Finn Rietz; Sven Magg; Fredrik Heintz; Todor Stoyanov; Stefan Wermter; Johannes A. Stork (Neural Comput. Appl., 2023)

FairX: A comprehensive benchmarking tool for model analysis using fairness, utility, and explainability. - Md. Fahim Sikder; Resmi Ramachandranpillai; Daniel de Leng; Fredrik Heintz (AEQUITAS@ECAI, 2024)

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)

Time Series Anomaly Detection Leveraging MSE Feedback with AutoEncoder and RNN. - Ibrahim Delibasoglu; Fredrik Heintz (TIME, 2024)

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

Improving Relational Database Interactions with Large Language Models: Column Descriptions and Their Impact on Text-to-SQL Performance. - Niklas Wretblad; Oskar Holmström; Erik Larsson; Axel Wiksäter; Oscar Söderlund; Hjalmar Öhman; Ture Pontén; Martin Forsberg; Martin Sörme; Fredrik Heintz (CoRR, 2024)

Generating Synthetic Fair Syntax-agnostic Data by Learning and Distilling Fair Representation. - Md. Fahim Sikder; Resmi Ramachandranpillai; Daniel de Leng; 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)

Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation. - Md. Fahim Sikder; Daniel de Leng; Fredrik Heintz (CoRR, 2024)

LMS-AutoTSF: Learnable Multi-Scale Decomposition and Integrated Autocorrelation for Time Series Forecasting. - Ibrahim Delibasoglu; Sanjay Chakraborty; Fredrik Heintz (CoRR, 2024)

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions. - Sanjay Chakraborty; Ibrahim Delibasoglu; Fredrik Heintz (CoRR, 2024)

Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks. - Resmi RamachandranPillai; Md. Fahim Sikder; David Bergström 002; Fredrik Heintz (J. Artif. Intell. Res., 2024)

Grounding Stream Reasoning Research. - Pieter Bonte; Jean-Paul Calbimonte; Daniel de Leng; Daniele Dell'Aglio; Emanuele Della Valle; Thomas Eiter; Federico Giannini; Fredrik Heintz; Konstantin Schekotihin; Danh Le Phuoc; Alessandra Mileo; Patrik Schneider; et al. (TGDK, 2024)

AITA: AI trustworthiness assessment. - Bertrand Braunschweig; Stefan Buijsman; Faïcel Chamroukhi; Fredrik Heintz; Foutse Khomh; Juliette Mattioli; Maximilian Poretschkin (AI Ethics, 2024)

International AI Safety Report. - Yoshua Bengio; Sören Mindermann; Daniel Privitera; Tamay Besiroglu; Rishi Bommasani; Stephen Casper; Yejin Choi 001; Philip Fox; Ben Garfinkel; Danielle Goldfarb; Hoda Heidari; Anson Ho; et al. (CoRR, 2025)

Integrating Quantum-Classical Attention in Patch Transformers for Enhanced Time Series Forecasting. - Sanjay Chakraborty; Fredrik Heintz (CoRR, 2025)

Enhancing Time Series Forecasting with Fuzzy Attention-Integrated Transformers. - Sanjay Chakraborty; Fredrik Heintz (CoRR, 2025)

FairXAI - A Taxonomy and Framework for Fairness and Explainability Synergy in Machine Learning. - Resmi Ramachandranpillai; Ricardo Baeza-Yates; Fredrik Heintz (IEEE Trans. Neural Networks Learn. Syst., 2025)

Scaling Transformers for Time Series Forecasting: Do Pretrained Large Models Outperform Small-Scale Alternatives? - Sanjay Chakraborty; Ibrahim Delibasoglu; Fredrik Heintz (CoRR, 2025)