Fredrik Heintz

139 papers A* 10A 16B 8C 17Misc 1Journal 58Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A survey of AI-supported materials informatics. Comput. Sci. Rev. Sanjay Chakraborty, Jonas Björk, Martin Dahlqvist, Johanna Rosen, Fredrik Heintz
2026	J	`jnl`	How Do Swedish Primary Teachers Introduce Programming in Their Classrooms, and What Strategies Are Used? ACM Trans. Comput. Educ. Anna Åkerfeldt, Linda Mannila, Susanne Kjällander, Fredrik Heintz
2026	A*	`conf`	Intervention-Aware Time Series Modeling: Capturing and Evaluating Feature Dependencies. AAAI Ibrahim Delibasoglu, Sanjay Chakraborty, Fredrik Heintz, Mattias Tiger
2026	J	`jnl`	Multi UAVs Preflight Planning in a Shared and Dynamic Airspace. CoRR Amath Sow, Mauricio Rodriguez Cesen, Fabiola Martins Campos de Oliveira, Mariusz Wzorek, Daniel de Leng, Mattias Tiger, Fredrik Heintz, Christian Esteve Rothenberg
2026	J	`jnl`	Scaling transformers for time series forecasting: do pretrained large models outperform small-scale alternatives? Artif. Intell. Rev. Sanjay Chakraborty, Ibrahim Delibasoglu, Fredrik Heintz
2026	J	`jnl`	Upskilling for Advanced Digitization: A Scoping Review. IEEE Access Tanya Karin Osborne, Hugo-Henrik Hachem, Dan Paulin, Ola Hultkrantz, Ulrika Lundqvist, Kent Thorén, Jan Gulliksen, Fredrik Heintz, Amy Loutfi, Francis Lee, Mattias Wiggberg
2025	—	`conf`	A Learning and Reasoning Manifesto. Challenges and Algorithms for Knowledge Discovery from Data Luc De Raedt, Fredrik Heintz, Kristian Kersting, Giuseppe Marra
2025	J	`jnl`	Enhancing Time Series Forecasting with Fuzzy Attention-Integrated Transformers. CoRR Sanjay Chakraborty, Fredrik Heintz
2025	J	`jnl`	FairXAI - A Taxonomy and Framework for Fairness and Explainability Synergy in Machine Learning. IEEE Trans. Neural Networks Learn. Syst. Resmi Ramachandranpillai, Ricardo Baeza-Yates, Fredrik Heintz
2025	C	`conf`	Framing AI Literacy for K-12 Education: Insights from Multi-Perspective and International Stakeholders. ACE Linda Mannila, Jonas Hallström, Charlotta Nordlöf, Fredrik Heintz, Katarina Sperling, Linnea Stenliden
2025	J	`jnl`	Integrating Quantum-Classical Attention in Patch Transformers for Enhanced Time Series Forecasting. CoRR Sanjay Chakraborty, Fredrik Heintz
2025	J	`jnl`	International AI Safety Report 2025: First Key Update: Capabilities and Risk Implications. CoRR Yoshua Bengio, Stephen Clare, Carina Prunkl, Shalaleh Rismani, Maksym Andriushchenko, Ben Bucknall, Philip Fox, Tiancheng Hu, Cameron Jones, Sam Manning, Nestor Maslej, Vasilios Mavroudis, Conor McGlynn, Malcolm Murray, Charlotte Stix, Lucia Velasco, Nicole Wheeler, Daniel Privitera, Sören Mindermann, Daron Acemoglu, Thomas G. Dietterich, Fredrik Heintz, Geoffrey E. Hinton, Nicholas R. Jennings, Susan Leavy, Teresa Ludermir, Vidushi Marda, Helen Margetts, John A. McDermid, Jane Munga, Arvind Narayanan, Alondra Nelson, Clara Neppel, Gopal Ramchurn, Stuart Russell, Marietje Schaake, Bernhard Schölkopf, Alavaro Soto, Lee Tiedrich, Gaël Varoquaux, Andrew Yao, Yan-Ning Zhang, Leandro Aguirre, Olubunmi Ajala, Fahad Albalawi Noora AlMalek, Christian Busch, André C. P. L. F. de Carvalho, Jonathan Collas, Amandeep Gill, Ahmet Halit Hatip, Juha Heikkilä, Chris Johnson, Gill Jolly, Ziv Katzir, Mary Kerema, Hiroaki Kitano, Antonio Krüger, Aoife McLysaght, Oleksii Molchanovskyi, Andrea Monti, Kyoung Mu Lee, Mona Nemer, Nuria Oliver, Raquel Pezoa Rivera, Audrey Plonk, José Ramón López Portillo, Balaraman Ravindran, Hammam Riza, Crystal Rugege, Haroon Sheikh, Denise Wong, Yi Zeng, Liming Zhu
2025	J	`jnl`	International AI Safety Report 2025: Second Key Update: Technical Safeguards and Risk Management. CoRR Yoshua Bengio, Stephen Clare, Carina Prunkl, Maksym Andriushchenko, Ben Bucknall, Philip Fox, Nestor Maslej, Conor McGlynn, Malcolm Murray, Shalaleh Rismani, Stephen Casper, Jessica Newman, Daniel Privitera, Sören Mindermann, Daron Acemoglu, Thomas G. Dietterich, Fredrik Heintz, Geoffrey E. Hinton, Nick R. Jennings, Susan Leavy, Teresa Ludermir, Vidushi Marda, Helen Margetts, John A. McDermid, Jane Munga, Arvind Narayanan, Alondra Nelson, Clara Neppel, Gopal Ramchurn, Stuart Russell, Marietje Schaake, Bernhard Schölkopf, Alavaro Soto, Lee Tiedrich, Gaël Varoquaux, Andrew Yao, Yanning Zhang, Leandro Aguirre, Olubunmi Ajala, Fahad Albalawi Noora AlMalek, Noora AlMalek, Christian Busch, André Carvalho, Jonathan Collas, Amandeep Gill, Ahmet Halit Hatip, Juha Heikkilä, Chris Johnson, Gill Jolly, Ziv Katzir, Mary Kerema, Hiroaki Kitano, Antonio Krüger, Aoife McLysaght, Oleksii Molchanovskyi, Andrea Monti, Kyoung Mu Lee, Mona Nemer, Nuria Oliver, Raquel Pezoa, Audrey Plonk, José Ramón López Portillo, Balaraman Ravindran, Hammam Riza, Crystal Rugege, Haroon Sheikh, Denise Wong, Yi Zeng, Liming Zhu
2025	J	`jnl`	International AI Safety Report. CoRR Yoshua Bengio, Sören Mindermann, Daniel Privitera, Tamay Besiroglu, Rishi Bommasani, Stephen Casper, Yejin Choi, Philip Fox, Ben Garfinkel, Danielle Goldfarb, Hoda Heidari, Anson Ho, Sayash Kapoor, Leila Khalatbari, Shayne Longpre, Sam Manning, Vasilios Mavroudis, Mantas Mazeika, Julian Michael, Jessica Newman, Kwan Yee Ng, Chinasa T. Okolo, Inioluwa Deborah Raji, Girish Sastry, Elizabeth Seger, Theodora Skeadas, Tobin South, Emma Strubell, Florian Tramèr, Lucia Velasco, Nicole Wheeler, Daron Acemoglu, Olubayo Adekanmbi, David Dalrymple, Thomas G. Dietterich, Edward W. Felten, Pascale Fung, Pierre-Olivier Gourinchas, Fredrik Heintz, Geoffrey E. Hinton, Nick R. Jennings, Andreas Krause, Susan Leavy, Percy Liang, Teresa Ludermir, Vidushi Marda, Helen Margetts, John A. McDermid, Jane Munga, Arvind Narayanan, Alondra Nelson, Clara Neppel, Alice Oh, Gopal Ramchurn, Stuart Russell, Marietje Schaake, Bernhard Schölkopf, Dawn Song, Alvaro Soto, Lee Tiedrich, Gaël Varoquaux, Andrew Yao, Ya-Qin Zhang, Fahad Albalawi, Marwan Alserkal, Olubunmi Ajala, Guillaume Avrin, Christian Busch, André Carlos Ponce de Leon Ferreira de Carvalho, Bronwyn Fox, Amandeep Singh Gill, Ahmet Halit Hatip, Juha Heikkilä, Gill Jolly, Ziv Katzir, Hiroaki Kitano, Antonio Krüger, Chris Johnson, Saif M. Khan, Kyoung Mu Lee, Dominic Vincent Ligot, Oleksii Molchanovskyi, Andrea Monti, Nusu Mwamanzi, Mona Nemer, Nuria Oliver, José Ramón López Portillo, Balaraman Ravindran, Raquel Pezoa Rivera, Hammam Riza, Crystal Rugege, Ciarán Seoighe, Jerry Sheehan, Haroon Sheikh, Denise Wong, Yi Zeng
2025	J	`jnl`	Learning Temporal Saliency for Time Series Forecasting with Cross-Scale Attention. CoRR Ibrahim Delibasoglu, Fredrik Heintz
2025	A	`conf`	Promoting Intersectional Fairness Through Knowledge Distillation. ECAI Md. Fahim Sikder, Resmi Ramachandranpillai, Daniel de Leng, Fredrik Heintz
2025	J	`jnl`	Scaling Transformers for Time Series Forecasting: Do Pretrained Large Models Outperform Small-Scale Alternatives? CoRR Sanjay Chakraborty, Ibrahim Delibasoglu, Fredrik Heintz
2024	—	`ed.`	14th Scandinavian Conference on Artificial Intelligence SCAI 2024, June 10-11, 2024, Jönköping, Sweden SCAI Florian Westphal, Einav Peretz-Andersson, Maria Riveiro, Kerstin Bach, Fredrik Heintz
2024	J	`jnl`	AITA: AI trustworthiness assessment. AI Ethics Bertrand Braunschweig, Stefan Buijsman, Faïcel Chamroukhi, Fredrik Heintz, Foutse Khomh, Juliette Mattioli, Maximilian Poretschkin
2024	A*	`conf`	Autonomous 3D Exploration in Large-Scale Environments with Dynamic Obstacles. ICRA Emil Wiman, Ludvig Widén, Mattias Tiger, Fredrik Heintz
2024	J	`jnl`	Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks. CoRR Resmi Ramachandranpillai, Md. Fahim Sikder, David Bergström, Fredrik Heintz
2024	J	`jnl`	Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks. J. Artif. Intell. Res. Resmi Ramachandranpillai, Md. Fahim Sikder, David Bergström, Fredrik Heintz
2024	J	`jnl`	Deep Temporal Deaggregation: Large-Scale Spatio-Temporal Generative Models. CoRR David Bergström, Mattias Tiger, Fredrik Heintz
2024	A	`ed.`	ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain - Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024) ECAI Ulle Endriss, Francisco S. Melo, Kerstin Bach, Alberto José Bugarín Diz, Jose Maria Alonso-Moral, Senén Barro, Fredrik Heintz
2024	J	`jnl`	EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions. CoRR Sanjay Chakraborty, Ibrahim Delibasoglu, Fredrik Heintz
2024	A	`conf`	Enhancing Safety via Deep Reinforcement Learning in Trajectory Planning for Agile Flights in Unknown Environments. IROS Lidia Rocha, Jorge Bidinotto, Fredrik Heintz, Mattias Tiger, Kelen Vivaldini
2024	J	`jnl`	Exploratory Visual Analysis for Increasing Data Readiness in Artificial Intelligence Projects. CoRR Mattias Tiger, Daniel Jakobsson, Anders Ynnerman, Fredrik Heintz, Daniel Jönsson
2024	J	`jnl`	Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation. CoRR Md. Fahim Sikder, Daniel de Leng, Fredrik Heintz
2024	—	`conf`	FairX: A comprehensive benchmarking tool for model analysis using fairness, utility, and explainability. AEQUITAS@ECAI Md. Fahim Sikder, Resmi Ramachandranpillai, Daniel de Leng, Fredrik Heintz
2024	J	`jnl`	FairX: A comprehensive benchmarking tool for model analysis using fairness, utility, and explainability. CoRR Md. Fahim Sikder, Resmi Ramachandranpillai, Daniel de Leng, Fredrik Heintz
2024	J	`jnl`	Generating Synthetic Fair Syntax-agnostic Data by Learning and Distilling Fair Representation. CoRR Md. Fahim Sikder, Resmi Ramachandranpillai, Daniel de Leng, Fredrik Heintz
2024	J	`jnl`	Grounding Stream Reasoning Research. TGDK 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, Riccardo Tommasini, Jacopo Urbani, Giacomo Ziffer
2024	J	`jnl`	Improving Relational Database Interactions with Large Language Models: Column Descriptions and Their Impact on Text-to-SQL Performance. CoRR Niklas Wretblad, Oskar Holmström, Erik Larsson, Axel Wiksäter, Oscar Söderlund, Hjalmar Öhman, Ture Pontén, Martin Forsberg, Martin Sörme, Fredrik Heintz
2024	J	`jnl`	LMS-AutoTSF: Learnable Multi-Scale Decomposition and Integrated Autocorrelation for Time Series Forecasting. CoRR Ibrahim Delibasoglu, Sanjay Chakraborty, Fredrik Heintz
2024	C	`conf`	Time Series Anomaly Detection Leveraging MSE Feedback with AutoEncoder and RNN. TIME Ibrahim Delibasoglu, Fredrik Heintz
2023	A	`conf`	A Brief Guide to Multi-Objective Reinforcement Learning and Planning. AAMAS 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, Patrick Mannion, Ann Nowé, Gabriel de Oliveira Ramos, Marcello Restelli, Peter Vamplew, Diederik M. Roijers
2023	J	`jnl`	Autonomous 3D Exploration in Large-Scale Environments with Dynamic Obstacles. CoRR Emil Wiman, Ludvig Widén, Mattias Tiger, Fredrik Heintz
2023	A	`conf`	Fair Latent Deep Generative Models (FLDGMs) for Syntax-Agnostic and Fair Synthetic Data Generation. ECAI Resmi Ramachandranpillai, Md. Fahim Sikder, Fredrik Heintz
2023	J	`jnl`	Hierarchical goals contextualize local reward decomposition explanations. Neural Comput. Appl. Finn Rietz, Sven Magg, Fredrik Heintz, Todor Stoyanov, Stefan Wermter, Johannes A. Stork
2023	A	`conf`	Model-Based Actor-Critic for Multi-Objective Reinforcement Learning with Dynamic Utility Functions. AAMAS Johan Källström, Fredrik Heintz
2023	A*	`conf`	On-Demand Multi-Agent Basket Picking for Shopping Stores. ICRA Mattias Tiger, David Bergström, Simon Wijk Stranius, Evelina Holmgren, Daniel de Leng, Fredrik Heintz
2023	J	`jnl`	Three Levels of AI Transparency. Computer Prahalad Kashyap Haresamudram, Stefan Larsson, Fredrik Heintz
2023	J	`jnl`	TransFusion: Generating Long, High Fidelity Time Series using Diffusion Models with Transformers. CoRR Md. Fahim Sikder, Resmi Ramachandranpillai, Fredrik Heintz
2023	—	`conf`	Trustworthy AI Governance (panel). EGOV-CeDEM-ePart-* Fredrik Heintz, Csaba Csáki, Flávia Bernardini, Roel Dobbe
2022	J	`jnl`	A practical guide to multi-objective reinforcement learning and planning. Auton. Agents Multi Agent Syst. 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, Patrick Mannion, Ann Nowé, Gabriel de Oliveira Ramos, Marcello Restelli, Peter Vamplew, Diederik M. Roijers
2022	J	`jnl`	Achieving a Data-Driven Risk Assessment Methodology for Ethical AI. Digit. Soc. Anna Felländer, Jonathan Rebane, Stefan Larsson, Mattias Wiggberg, Fredrik Heintz
2022	J	`jnl`	Cognitive Robotics (Dagstuhl Seminar 22391). Dagstuhl Reports Fredrik Heintz, Gerhard Lakemeyer, Sheila A. McIlraith
2022	A*	`conf`	Coverage Path Planning in Large-scale Multi-floor Urban Environments with Applications to Autonomous Road Sweeping. ICRA Daniel Engelsons, Mattias Tiger, Fredrik Heintz
2022	C	`conf`	Exploring Gender Differences in Primary School Programming. FIE Linda Mannila, Anna Åkerfeldt, Susanne Kjällander, Fredrik Heintz
2022	C	`conf`	Exploring programming didactics in primary school - a gender perspective. FIE Anna Åkerfeldt, Susanne Kjällander, Linda Mannila, Fredrik Heintz
2022	A	`conf`	Learning Heuristics for Combinatorial Assignment by Optimally Solving Subproblems. AAMAS Fredrik Präntare, Herman Appelgren, Mattias Tiger, David Bergström, Fredrik Heintz
2022	J	`jnl`	Partnership on AI, data, and robotics. Commun. ACM Edward Curry, Fredrik Heintz, Morten Irgens, Arnold W. M. Smeulders, Stefano Stramigioli
2022	J	`jnl`	Scalar reward is not enough: a response to Silver, Singh, Precup and Sutton (2021). Auton. Agents Multi Agent Syst. Peter Vamplew, 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
2022	C	`conf`	Signs of learning in middle school computing education. FIE Susanne Kjällander, Anna Åkerfeldt, Linda Mannila, Fredrik Heintz
2021	J	`jnl`	A Differentiated Discussion About AI Education K-12. Künstliche Intell. Gerald Steinbauer, Martin Kandlhofer, Tara Chklovski, Fredrik Heintz, Sven Koenig
2021	J	`jnl`	A Practical Guide to Multi-Objective Reinforcement Learning and Planning. CoRR 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, Patrick Mannion, Ann Nowé, Gabriel de Oliveira Ramos, Marcello Restelli, Peter Vamplew, Diederik M. Roijers
2021	J	`jnl`	Achieving a Data-driven Risk Assessment Methodology for Ethical AI. CoRR Anna Felländer, Jonathan Rebane, Stefan Larsson, Mattias Wiggberg, Fredrik Heintz
2021	A*	`conf`	Anytime Heuristic and Monte Carlo Methods for Large-Scale Simultaneous Coalition Structure Generation and Assignment. AAAI Fredrik Präntare, Herman Appelgren, Fredrik Heintz
2021	J	`jnl`	Education in Artificial Intelligence K-12. Künstliche Intell. Gerald Steinbauer, Martin Kandlhofer, Tara Chklovski, Fredrik Heintz, Sven Koenig
2021	J	`jnl`	Enhancing Lattice-Based Motion Planning With Introspective Learning and Reasoning. IEEE Robotics Autom. Lett. Mattias Tiger, David Bergström, Andreas Norrstig, Fredrik Heintz
2021	J	`jnl`	Scalar reward is not enough: A response to Silver, Singh, Precup and Sutton (2021). CoRR Peter Vamplew, 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
2021	J	`jnl`	Three Interviews About K-12 AI Education in America, Europe, and Singapore. Künstliche Intell. Fredrik Heintz
2021	J	`jnl`	Towards Utilitarian Combinatorial Assignment with Deep Neural Networks and Heuristic Algorithms. CoRR Fredrik Präntare, Mattias Tiger, David Bergström, Herman Appelgren, Fredrik Heintz
2021	—	`ed.`	Trustworthy AI - Integrating Learning, Optimization and Reasoning - First International Workshop, TAILOR 2020, Virtual Event, September 4-5, 2020, Revised Selected Papers TAILOR Fredrik Heintz, Michela Milano, Barry O'Sullivan
2020	B	`conf`	Agent Coordination in Air Combat Simulation using Multi-Agent Deep Reinforcement Learning. SMC Johan Källström, Fredrik Heintz
2020	J	`jnl`	An anytime algorithm for optimal simultaneous coalition structure generation and assignment. Auton. Agents Multi Agent Syst. Fredrik Präntare, Fredrik Heintz
2020	J	`jnl`	Enhancing Lattice-based Motion Planning with Introspective Learning and Reasoning. CoRR Mattias Tiger, David Bergström, Andreas Norrstig, Fredrik Heintz
2020	B	`conf`	Hybrid Dynamic Programming for Simultaneous Coalition Structure Generation and Assignment. PRIMA Fredrik Präntare, Fredrik Heintz
2020	J	`jnl`	Incremental reasoning in probabilistic Signal Temporal Logic. Int. J. Approx. Reason. Mattias Tiger, Fredrik Heintz
2020	—	`conf`	Programming in primary education: towards a research based assessment framework. WiPSCE Linda Mannila, Fredrik Heintz, Susanne Kjällander, Anna Åkerfeldt
2020	—	`conf`	Towards Utilitarian Combinatorial Assignment with Deep Neural Networks and Heuristic Algorithms. TAILOR Fredrik Präntare, Mattias Tiger, David Bergström, Herman Appelgren, Fredrik Heintz
2020	J	`jnl`	Transparency in artificial intelligence. Internet Policy Rev. Stefan Larsson, Fredrik Heintz
2019	A*	`conf`	Approximate Stream Reasoning with Metric Temporal Logic under Uncertainty. AAAI Daniel de Leng, Fredrik Heintz
2019	J	`jnl`	Efficient Autonomous Exploration Planning of Large-Scale 3-D Environments. IEEE Robotics Autom. Lett. Magnus Selin, Mattias Tiger, Daniel Duberg, Fredrik Heintz, Patric Jensfelt
2019	J	`jnl`	Special issue on stream reasoning. Semantic Web Daniele Dell'Aglio, Thomas Eiter, Fredrik Heintz, Danh Le Phuoc
2018	B	`conf`	An Anytime Algorithm for Simultaneous Coalition Structure Generation and Assignment. PRIMA Fredrik Präntare, Fredrik Heintz
2018	A	`conf`	Computational Thinking for All: An Experience Report on Scaling up Teaching Computational Thinking to All Students in a Major City in Sweden. SIGCSE Fredrik Heintz, Linda Mannila
2018	J	`jnl`	Computational thinking for all: an experience report on scaling up teaching computational thinking to all students in a major city in Sweden. Inroads Fredrik Heintz, Linda Mannila
2018	B	`conf`	Gaussian Process Based Motion Pattern Recognition with Sequential Local Models. Intelligent Vehicles Symposium Mattias Tiger, Fredrik Heintz
2018	A*	`conf`	Partial-State Progression for Stream Reasoning with Metric Temporal Logic. KR Daniel de Leng, Fredrik Heintz
2018	—	`conf`	Receding-Horizon Lattice-Based Motion Planning with Dynamic Obstacle Avoidance. CDC Olov Andersson, Oskar Ljungqvist, Mattias Tiger, Daniel Axehill, Fredrik Heintz
2017	B	`conf`	An Algorithm for Simultaneous Coalition Structure Generation and Task Assignment. PRIMA Fredrik Präntare, Ingemar Ragnemalm, Fredrik Heintz
2017	—	`conf`	Introducing Programming and Digital Competence in Swedish K-9 Education. ISSEP Fredrik Heintz, Linda Mannila, Lars-Åke Norden, Peter Parnes, Björn Regnell
2017	A	`conf`	Towards adaptive semantic subscriptions for stream reasoning in the robot operating system. IROS Daniel de Leng, Fredrik Heintz
2016	C	`conf`	A review of models for introducing computational thinking, computer science and computing in K-12 education. FIE Fredrik Heintz, Linda Mannila, Tommy Färnqvist
2016	J	`jnl`	Cognitive robotics. J. Exp. Theor. Artif. Intell. Mehul Bhatt, Esra Erdem, Fredrik Heintz, Michael Spranger
2016	B	`conf`	Competition and Feedback through Automated Assessment in a Data Structures and Algorithms Course. ITiCSE Tommy Färnqvist, Fredrik Heintz
2016	—	`conf`	DyKnow: A dynamically reconfigurable stream reasoning framework as an extension to the robot operating system. SIMPAR Daniel de Leng, Fredrik Heintz
2016	J	`jnl`	Editorial: Special Issue on Safety, Security, and Rescue Robotics (SSRR), Part 1. J. Field Robotics Alexander Kleiner, Fredrik Heintz, Satoshi Tadokoro
2016	J	`jnl`	Editorial: Special Issue on Safety, Security, and Rescue Robotics (SSRR), Part 2. J. Field Robotics Alexander Kleiner, Fredrik Heintz, Satoshi Tadokoro
2016	A*	`conf`	Qualitative Spatio-Temporal Stream Reasoning with Unobservable Intertemporal Spatial Relations Using Landmarks. AAAI Daniel de Leng, Fredrik Heintz
2016	C	`conf`	Stream Reasoning Using Temporal Logic and Predictive Probabilistic State Models. TIME Mattias Tiger, Fredrik Heintz
2016	A	`conf`	Supporting Active Learning by Introducing an Interactive Teaching Tool in a Data Structures and Algorithms Course. SIGCSE Tommy Färnqvist, Fredrik Heintz, Patrick Lambrix, Linda Mannila, Chunyan Wang
2015	—	`conf`	Computing at School in Sweden - Experiences from Introducing Computer Science within Existing Subjects. ISSEP Fredrik Heintz, Linda Mannila, Karin Nygårds, Peter Parnes, Björn Regnell
2015	A*	`conf`	Model-Based Reinforcement Learning in Continuous Environments Using Real-Time Constrained Optimization. AAAI Olov Andersson, Fredrik Heintz, Patrick Doherty
2015	C	`conf`	Online sparse Gaussian process regression for trajectory modeling. FUSION Mattias Tiger, Fredrik Heintz
2015	—	`conf`	Ontology-Based Introspection in Support of Stream Reasoning. JOWO@IJCAI Daniel de Leng, Fredrik Heintz
2015	—	`conf`	Ontology-Based Introspection in Support of Stream Reasoning. SCAI Daniel de Leng, Fredrik Heintz
2015	—	`conf`	Towards Unsupervised Learning, Classification and Prediction of Activities in a Stream-Based Framework. SCAI Mattias Tiger, Fredrik Heintz
2014	—	`conf`	A Low-Level Active Vision Framework for Collaborative Unmanned Aircraft Systems. ECCV Workshops (1) Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, Karl Granström, Fredrik Heintz, Piotr Rudol, Mariusz Wzorek, Jonas Kvarnström, Patrick Doherty
2014	A	`conf`	Spatio-Temporal Stream Reasoning with Incomplete Spatial Information. ECAI Fredrik Heintz, Daniel de Leng
2014	A	`conf`	The design of Sweden's first 5-year computer science and software engineering program. SIGCSE Fredrik Heintz, Inger Erlander Klein
2014	—	`conf`	Towards Learning and Classifying Spatio-Temporal Activities in a Stream Processing Framework. STAIRS Mattias Tiger, Fredrik Heintz
2014	C	`conf`	Towards on-demand semantic event processing for stream reasoning. FUSION Daniel de Leng, Fredrik Heintz
2013	—	`conf`	Robotics, Temporal Logic and Stream Reasoning. LPAR (short papers) Patrick Doherty, Fredrik Heintz, Jonas Kvarnström
2013	C	`conf`	Semantic information integration with transformations for stream reasoning. FUSION Fredrik Heintz, Daniel de Leng
2013	A	`conf`	Semantically grounded stream reasoning integrated with ROS. IROS Fredrik Heintz
2013	J	`jnl`	Stream-Based Hierarchical Anchoring. Künstliche Intell. Fredrik Heintz, Jonas Kvarnström, Patrick Doherty
2012	A	`ed.`	ECAI 2012 - 20th European Conference on Artificial Intelligence. Including Prestigious Applications of Artificial Intelligence (PAIS-2012) System Demonstrations Track, Montpellier, France, August 27-31 , 2012 ECAI Luc De Raedt, Christian Bessiere, Didier Dubois, Patrick Doherty, Paolo Frasconi, Fredrik Heintz, Peter J. F. Lucas
2012	C	`conf`	Semantic information integration for stream reasoning. FUSION Fredrik Heintz, Zlatan Dragisic
2011	—	`conf`	A delegation-based cooperative robotic framework. ROBIO Patrick Doherty, Fredrik Heintz
2011	—	`ed.`	Eleventh Scandinavian Conference on Artificial Intelligence, SCAI 2011, Trondheim, Norway, May 24th - 26th, 2011 SCAI Anders Kofod-Petersen, Fredrik Heintz, Helge Langseth
2010	—	`conf`	A Delegation-Based Architecture for Collaborative Robotics. AOSE Patrick Doherty, Fredrik Heintz, David Landén
2010	B	`conf`	A Distributed Task Specification Language for Mixed-Initiative Delegation. PRIMA Patrick Doherty, Fredrik Heintz, David Landén
2010	J	`jnl`	Bridging the sense-reasoning gap: DyKnow - Stream-based middleware for knowledge processing. Adv. Eng. Informatics Fredrik Heintz, Jonas Kvarnström, Patrick Doherty
2010	B	`conf`	Complex Task Allocation in Mixed-Initiative Delegation: A UAV Case Study. PRIMA David Landén, Fredrik Heintz, Patrick Doherty
2010	C	`conf`	Federated DyKnow, a distributed information fusion system for collaborative UAVs. ICARCV Fredrik Heintz, Patrick Doherty
2010	J	`jnl`	FlexDx: A reconfigurable diagnosis framework. Eng. Appl. Artif. Intell. Mattias Krysander, Fredrik Heintz, Jacob Roll, Erik Frisk
2010	—	`conf`	Research with Collaborative Unmanned Aircraft Systems. Cognitive Robotics Patrick Doherty, Jonas Kvarnström, Fredrik Heintz, David Landén, Per-Magnus Olsson
2010	—	`conf`	Stream-Based Middleware Support for Embedded Reasoning. AAAI Spring Symposium: Embedded Reasoning Fredrik Heintz, Jonas Kvarnström, Patrick Doherty
2010	A	`conf`	Stream-Based Reasoning Support for Autonomous Systems. ECAI Fredrik Heintz, Jonas Kvarnström, Patrick Doherty
2010	—	`conf`	Stream-Based Reasoning in DyKnow. Cognitive Robotics Fredrik Heintz, Jonas Kvarnström, Patrick Doherty
2009	A	`conf`	A stream-based hierarchical anchoring framework. IROS Fredrik Heintz, Jonas Kvarnström, Patrick Doherty
2009	J	`jnl`	A temporal logic-based planning and execution monitoring framework for unmanned aircraft systems. Auton. Agents Multi Agent Syst. Patrick Doherty, Jonas Kvarnström, Fredrik Heintz
2009	—	`—`	DyKnow : A Stream-Based Knowledge Processing Middleware Framework. Fredrik Heintz
2008	A*	`conf`	A Temporal Logic-Based Planning and Execution Monitoring System. ICAPS Jonas Kvarnström, Fredrik Heintz, Patrick Doherty
2008	C	`conf`	DyKnow federations: Distributing and merging information among UAVs. FUSION Fredrik Heintz, Patrick Doherty
2008	—	`conf`	Dynamic test selection for reconfigurable diagnosis. CDC Mattias Krysander, Fredrik Heintz, Jacob Roll, Erik Frisk
2008	—	`conf`	Knowledge Processing Middleware. SIMPAR Fredrik Heintz, Jonas Kvarnström, Patrick Doherty
2007	Misc	`conf`	Bridging the Sense-Reasoning Gap Using DyKnow: A Knowledge Processing Middleware Framework. KI Fredrik Heintz, Piotr Rudol, Patrick Doherty
2007	C	`conf`	From images to traffic behavior - A UAV tracking and monitoring application. FUSION Fredrik Heintz, Piotr Rudol, Patrick Doherty
2006	J	`jnl`	A knowledge processing middleware framework and its relation to the JDL data fusion model. J. Intell. Fuzzy Syst. Fredrik Heintz, Patrick Doherty
2004	—	`conf`	A Distributed Architecture for Autonomous Unmanned Aerial Vehicle Experimentation. DARS Patrick Doherty, Patrik Haslum, Fredrik Heintz, T. Merz, Per Nyblom, T. Persson, B. Wingman
2004	—	`conf`	DyKnow: A Framework for Processing Dynamic Knowledge and Object Structures in Autonomous Systems. MSRAS Fredrik Heintz, Patrick Doherty
2004	J	`jnl`	DyKnow: An approach to middleware for knowledge processing. J. Intell. Fuzzy Syst. Fredrik Heintz, Patrick Doherty
2001	—	`conf`	Using Simulated RoboCup to Teach AI in Undergraduate Education. SCAI Fredrik Heintz, Johan Kummeneje, Paul Scerri
2000	C	`conf`	The NOAI Team Description. RoboCup Anneli Dahlström, Fredrik Heintz, Martin Jacobsson, Johan Thapper, Martin Öberg
2000	C	`conf`	Using Simulated RoboCup in Undergraduate Education. RoboCup Fredrik Heintz, Johan Kummeneje, Paul Scerri
1999	C	`conf`	FCFoo99. RoboCup Fredrik Heintz