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2020 – today
- 2024
[j28]Bertrand Braunschweig, Stefan Buijsman, Faïcel Chamroukhi, Fredrik Heintz, Foutse Khomh, Juliette Mattioli, Maximilian Poretschkin:
AITA: AI trustworthiness assessment. AI Ethics 4(1): 1-3 (2024)- [j27]Resmi RamachandranPillai
, Md. Fahim Sikder, David Bergström, Fredrik Heintz:
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks. J. Artif. Intell. Res. 79: 1313-1341 (2024) - [j26]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:
Grounding Stream Reasoning Research. TGDK 2(1): 2:1-2:47 (2024) - [c67]Emil Wiman, Ludvig Widén, Mattias Tiger, Fredrik Heintz:
Autonomous 3D Exploration in Large-Scale Environments with Dynamic Obstacles. ICRA 2024: 2389-2395 - [c66]Ibrahim Delibasoglu, Fredrik Heintz:
Time Series Anomaly Detection Leveraging MSE Feedback with AutoEncoder and RNN. TIME 2024: 17:1-17:12 - [e5]Ulle Endriss, Francisco S. Melo, Kerstin Bach, Alberto José Bugarín Diz, Jose Maria Alonso-Moral, Senén Barro, Fredrik Heintz:
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). Frontiers in Artificial Intelligence and Applications 392, IOS Press 2024, ISBN 978-1-64368-548-9 [contents] - [e4]Florian Westphal, Einav Peretz-Andersson, Maria Riveiro, Kerstin Bach, Fredrik Heintz:
14th Scandinavian Conference on Artificial Intelligence SCAI 2024, June 10-11, 2024, Jönköping, Sweden. Linköping Electronic Conference Proceedings 208, Linköping University Electronic Press 2024, ISBN 978-91-8075-709-6 [contents] - [i16]Resmi RamachandranPillai, Md. Fahim Sikder, David Bergström, Fredrik Heintz:
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks. CoRR abs/2404.13634 (2024) - [i15]David Bergström, Mattias Tiger, Fredrik Heintz:
Deep Temporal Deaggregation: Large-Scale Spatio-Temporal Generative Models. CoRR abs/2406.12423 (2024) - [i14]Md. Fahim Sikder, Resmi Ramachandranpillai, Daniel de Leng, Fredrik Heintz:
FairX: A comprehensive benchmarking tool for model analysis using fairness, utility, and explainability. CoRR abs/2406.14281 (2024) - [i13]Niklas Wretblad, Oskar Holmström, Erik Larsson, Axel Wiksäter, Oscar Söderlund, Hjalmar Öhman, Ture Pontén, Martin Forsberg, Martin Sörme, Fredrik Heintz:
Improving Relational Database Interactions with Large Language Models: Column Descriptions and Their Impact on Text-to-SQL Performance. CoRR abs/2408.04691 (2024) - [i12]Md. Fahim Sikder, Resmi Ramachandranpillai, Daniel de Leng, Fredrik Heintz:
Generating Synthetic Fair Syntax-agnostic Data by Learning and Distilling Fair Representation. CoRR abs/2408.10755 (2024) - [i11]Mattias Tiger, Daniel Jakobsson, Anders Ynnerman, Fredrik Heintz, Daniel Jönsson:
Exploratory Visual Analysis for Increasing Data Readiness in Artificial Intelligence Projects. CoRR abs/2409.03805 (2024) - 2023
- [j25]Prahalad Kashyap Haresamudram, Stefan Larsson, Fredrik Heintz:
Three Levels of AI Transparency. Computer 56(2): 93-100 (2023) - [j24]Finn Rietz, Sven Magg, Fredrik Heintz, Todor Stoyanov, Stefan Wermter, Johannes A. Stork:
Hierarchical goals contextualize local reward decomposition explanations. Neural Comput. Appl. 35(23): 16693-16704 (2023) - [c65]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:
A Brief Guide to Multi-Objective Reinforcement Learning and Planning. AAMAS 2023: 1988-1990 - [c64]Johan Källström, Fredrik Heintz:
Model-Based Actor-Critic for Multi-Objective Reinforcement Learning with Dynamic Utility Functions. AAMAS 2023: 2818-2820 - [c63]Resmi RamachandranPillai, Md. Fahim Sikder, Fredrik Heintz:
Fair Latent Deep Generative Models (FLDGMs) for Syntax-Agnostic and Fair Synthetic Data Generation. ECAI 2023: 1938-1945 - [c62]Fredrik Heintz, Csaba Csáki, Flávia Bernardini, Roel Dobbe:
Trustworthy AI Governance (panel). EGOV-CeDEM-ePart-* 2023 - [c61]Mattias Tiger, David Bergström, Simon Wijk Stranius, Evelina Holmgren, Daniel de Leng, Fredrik Heintz:
On-Demand Multi-Agent Basket Picking for Shopping Stores. ICRA 2023: 5793-5799 - [i10]Md. Fahim Sikder, Resmi RamachandranPillai, Fredrik Heintz:
TransFusion: Generating Long, High Fidelity Time Series using Diffusion Models with Transformers. CoRR abs/2307.12667 (2023) - [i9]Emil Wiman, Ludvig Widén, Mattias Tiger, Fredrik Heintz:
Autonomous 3D Exploration in Large-Scale Environments with Dynamic Obstacles. CoRR abs/2310.17977 (2023) - 2022
- [j23]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:
A practical guide to multi-objective reinforcement learning and planning. Auton. Agents Multi Agent Syst. 36(1): 26 (2022) - [j22]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:
Scalar reward is not enough: a response to Silver, Singh, Precup and Sutton (2021). Auton. Agents Multi Agent Syst. 36(2): 41 (2022) - [j21]Edward Curry, Fredrik Heintz, Morten Irgens, Arnold W. M. Smeulders, Stefano Stramigioli:
Partnership on AI, data, and robotics. Commun. ACM 65(4): 54-55 (2022) - [j20]Anna Felländer, Jonathan Rebane, Stefan Larsson, Mattias Wiggberg, Fredrik Heintz:
Achieving a Data-Driven Risk Assessment Methodology for Ethical AI. Digit. Soc. 1(2) (2022) - [c60]Fredrik Präntare, Herman Appelgren, Mattias Tiger, David Bergström, Fredrik Heintz:
Learning Heuristics for Combinatorial Assignment by Optimally Solving Subproblems. AAMAS 2022: 1074-1082 - [c59]Anna Åkerfeldt, Susanne Kjällander, Linda Mannila, Fredrik Heintz:
Exploring programming didactics in primary school - a gender perspective. FIE 2022: 1-7 - [c58]Susanne Kjällander, Anna Åkerfeldt, Linda Mannila, Fredrik Heintz:
Signs of learning in middle school computing education. FIE 2022: 1-9 - [c57]Linda Mannila, Anna Åkerfeldt, Susanne Kjällander, Fredrik Heintz:
Exploring Gender Differences in Primary School Programming. FIE 2022: 1-9 - [c56]Daniel Engelsons, Mattias Tiger, Fredrik Heintz:
Coverage Path Planning in Large-scale Multi-floor Urban Environments with Applications to Autonomous Road Sweeping. ICRA 2022: 3328-3334 - [i8]Fredrik Heintz, Gerhard Lakemeyer, Sheila A. McIlraith:
Cognitive Robotics (Dagstuhl Seminar 22391). Dagstuhl Reports 12(9): 200-219 (2022) - 2021
- [j19]Gerald Steinbauer, Martin Kandlhofer, Tara Chklovski, Fredrik Heintz, Sven Koenig:
Education in Artificial Intelligence K-12. Künstliche Intell. 35(2): 127-129 (2021) - [j18]Gerald Steinbauer, Martin Kandlhofer, Tara Chklovski, Fredrik Heintz, Sven Koenig:
A Differentiated Discussion About AI Education K-12. Künstliche Intell. 35(2): 131-137 (2021) - [j17]Fredrik Heintz:
Three Interviews About K-12 AI Education in America, Europe, and Singapore. Künstliche Intell. 35(2): 233-237 (2021) - [j16]Mattias Tiger, David Bergström, Andreas Norrstig, Fredrik Heintz:
Enhancing Lattice-Based Motion Planning With Introspective Learning and Reasoning. IEEE Robotics Autom. Lett. 6(3): 4385-4392 (2021) - [c55]Fredrik Präntare, Herman Appelgren, Fredrik Heintz:
Anytime Heuristic and Monte Carlo Methods for Large-Scale Simultaneous Coalition Structure Generation and Assignment. AAAI 2021: 11317-11324 - [e3]Fredrik Heintz, Michela Milano, Barry O'Sullivan:
Trustworthy AI - Integrating Learning, Optimization and Reasoning - First International Workshop, TAILOR 2020, Virtual Event, September 4-5, 2020, Revised Selected Papers. Lecture Notes in Computer Science 12641, Springer 2021, ISBN 978-3-030-73958-4 [contents] - [i7]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:
A Practical Guide to Multi-Objective Reinforcement Learning and Planning. CoRR abs/2103.09568 (2021) - [i6]Fredrik Präntare, Mattias Tiger, David Bergström, Herman Appelgren, Fredrik Heintz:
Towards Utilitarian Combinatorial Assignment with Deep Neural Networks and Heuristic Algorithms. CoRR abs/2107.00317 (2021) - [i5]Anna Felländer, Jonathan Rebane, Stefan Larsson, Mattias Wiggberg, Fredrik Heintz:
Achieving a Data-driven Risk Assessment Methodology for Ethical AI. CoRR abs/2112.01282 (2021) - [i4]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:
Scalar reward is not enough: A response to Silver, Singh, Precup and Sutton (2021). CoRR abs/2112.15422 (2021) - 2020
- [j15]Fredrik Präntare, Fredrik Heintz:
An anytime algorithm for optimal simultaneous coalition structure generation and assignment. Auton. Agents Multi Agent Syst. 34(1): 29 (2020) - [j14]Mattias Tiger, Fredrik Heintz:
Incremental reasoning in probabilistic Signal Temporal Logic. Int. J. Approx. Reason. 119: 325-352 (2020) - [j13]Stefan Larsson, Fredrik Heintz:
Transparency in artificial intelligence. Internet Policy Rev. 9(2) (2020) - [c54]Fredrik Präntare, Fredrik Heintz:
Hybrid Dynamic Programming for Simultaneous Coalition Structure Generation and Assignment. PRIMA 2020: 19-33 - [c53]Johan Källström, Fredrik Heintz:
Agent Coordination in Air Combat Simulation using Multi-Agent Deep Reinforcement Learning. SMC 2020: 2157-2164 - [c52]Fredrik Präntare, Mattias Tiger, David Bergström, Herman Appelgren, Fredrik Heintz:
Towards Utilitarian Combinatorial Assignment with Deep Neural Networks and Heuristic Algorithms. TAILOR 2020: 104-111 - [c51]Linda Mannila, Fredrik Heintz, Susanne Kjällander, Anna Åkerfeldt:
Programming in primary education: towards a research based assessment framework. WiPSCE 2020: 10:1-10:10 - [i3]Mattias Tiger, David Bergström, Andreas Norrstig, Fredrik Heintz:
Enhancing Lattice-based Motion Planning with Introspective Learning and Reasoning. CoRR abs/2005.07385 (2020)
2010 – 2019
- 2019
- [j12]Magnus Selin, Mattias Tiger, Daniel Duberg, Fredrik Heintz, Patric Jensfelt:
Efficient Autonomous Exploration Planning of Large-Scale 3-D Environments. IEEE Robotics Autom. Lett. 4(2): 1699-1706 (2019) - [j11]Daniele Dell'Aglio, Thomas Eiter, Fredrik Heintz, Danh Le Phuoc:
Special issue on stream reasoning. Semantic Web 10(3): 453-455 (2019) - [c50]Daniel de Leng, Fredrik Heintz:
Approximate Stream Reasoning with Metric Temporal Logic under Uncertainty. AAAI 2019: 2760-2767 - 2018
- [j10]Fredrik Heintz, Linda Mannila:
Computational thinking for all: an experience report on scaling up teaching computational thinking to all students in a major city in Sweden. Inroads 9(2): 65-71 (2018) - [c49]Olov Andersson, Oskar Ljungqvist, Mattias Tiger, Daniel Axehill, Fredrik Heintz:
Receding-Horizon Lattice-Based Motion Planning with Dynamic Obstacle Avoidance. CDC 2018: 4467-4474 - [c48]Mattias Tiger, Fredrik Heintz:
Gaussian Process Based Motion Pattern Recognition with Sequential Local Models. Intelligent Vehicles Symposium 2018: 1143-1149 - [c47]Daniel de Leng, Fredrik Heintz:
Partial-State Progression for Stream Reasoning with Metric Temporal Logic. KR 2018: 633-634 - [c46]Fredrik Präntare, Fredrik Heintz:
An Anytime Algorithm for Simultaneous Coalition Structure Generation and Assignment. PRIMA 2018: 158-174 - [c45]Fredrik Heintz, Linda Mannila:
Computational Thinking for All: An Experience Report on Scaling up Teaching Computational Thinking to All Students in a Major City in Sweden. SIGCSE 2018: 137-142 - 2017
- [c44]Daniel de Leng, Fredrik Heintz:
Towards adaptive semantic subscriptions for stream reasoning in the robot operating system. IROS 2017: 5445-5452 - [c43]Fredrik Heintz, Linda Mannila, Lars-Åke Norden, Peter Parnes, Björn Regnell:
Introducing Programming and Digital Competence in Swedish K-9 Education. ISSEP 2017: 117-128 - [c42]Fredrik Präntare, Ingemar Ragnemalm, Fredrik Heintz:
An Algorithm for Simultaneous Coalition Structure Generation and Task Assignment. PRIMA 2017: 514-522 - 2016
- [j9]Mehul Bhatt, Esra Erdem, Fredrik Heintz, Michael Spranger:
Cognitive robotics. J. Exp. Theor. Artif. Intell. 28(5): 779-780 (2016) - [j8]Alexander Kleiner, Fredrik Heintz, Satoshi Tadokoro:
Editorial: Special Issue on Safety, Security, and Rescue Robotics (SSRR), Part 1. J. Field Robotics 33(3): 263-264 (2016) - [j7]Alexander Kleiner, Fredrik Heintz, Satoshi Tadokoro:
Editorial: Special Issue on Safety, Security, and Rescue Robotics (SSRR), Part 2. J. Field Robotics 33(4): 409-410 (2016) - [c41]Daniel de Leng, Fredrik Heintz:
Qualitative Spatio-Temporal Stream Reasoning with Unobservable Intertemporal Spatial Relations Using Landmarks. AAAI 2016: 957-963 - [c40]Fredrik Heintz, Linda Mannila, Tommy Färnqvist:
A review of models for introducing computational thinking, computer science and computing in K-12 education. FIE 2016: 1-9 - [c39]Tommy Färnqvist, Fredrik Heintz:
Competition and Feedback through Automated Assessment in a Data Structures and Algorithms Course. ITiCSE 2016: 130-135 - [c38]Tommy Färnqvist, Fredrik Heintz, Patrick Lambrix, Linda Mannila, Chunyan Wang:
Supporting Active Learning by Introducing an Interactive Teaching Tool in a Data Structures and Algorithms Course. SIGCSE 2016: 663-668 - [c37]Daniel de Leng, Fredrik Heintz:
DyKnow: A dynamically reconfigurable stream reasoning framework as an extension to the robot operating system. SIMPAR 2016: 55-60 - [c36]Mattias Tiger, Fredrik Heintz:
Stream Reasoning Using Temporal Logic and Predictive Probabilistic State Models. TIME 2016: 196-205 - 2015
- [c35]Olov Andersson, Fredrik Heintz, Patrick Doherty:
Model-Based Reinforcement Learning in Continuous Environments Using Real-Time Constrained Optimization. AAAI 2015: 2497-2503 - [c34]Mattias Tiger, Fredrik Heintz:
Online sparse Gaussian process regression for trajectory modeling. FUSION 2015: 782-791 - [c33]Daniel de Leng, Fredrik Heintz:
Ontology-Based Introspection in Support of Stream Reasoning. JOWO@IJCAI 2015 - [c32]Fredrik Heintz, Linda Mannila, Karin Nygårds, Peter Parnes, Björn Regnell:
Computing at School in Sweden - Experiences from Introducing Computer Science within Existing Subjects. ISSEP 2015: 118-130 - [c31]Daniel de Leng, Fredrik Heintz:
Ontology-Based Introspection in Support of Stream Reasoning. SCAI 2015: 78-87 - [c30]Mattias Tiger, Fredrik Heintz:
Towards Unsupervised Learning, Classification and Prediction of Activities in a Stream-Based Framework. SCAI 2015: 147-156 - 2014
- [c29]Fredrik Heintz, Daniel de Leng:
Spatio-Temporal Stream Reasoning with Incomplete Spatial Information. ECAI 2014: 429-434 - [c28]Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, Karl Granström, Fredrik Heintz, Piotr Rudol, Mariusz Wzorek, Jonas Kvarnström, Patrick Doherty:
A Low-Level Active Vision Framework for Collaborative Unmanned Aircraft Systems. ECCV Workshops (1) 2014: 223-237 - [c27]Daniel de Leng, Fredrik Heintz:
Towards on-demand semantic event processing for stream reasoning. FUSION 2014: 1-8 - [c26]Fredrik Heintz, Inger Erlander Klein:
The design of Sweden's first 5-year computer science and software engineering program. SIGCSE 2014: 199-204 - [c25]Mattias Tiger, Fredrik Heintz:
Towards Learning and Classifying Spatio-Temporal Activities in a Stream Processing Framework. STAIRS 2014: 280-289 - 2013
- [j6]Fredrik Heintz, Jonas Kvarnström, Patrick Doherty:
Stream-Based Hierarchical Anchoring. Künstliche Intell. 27(2): 119-128 (2013) - [c24]Fredrik Heintz, Daniel de Leng:
Semantic information integration with transformations for stream reasoning. FUSION 2013: 445-452 - [c23]Fredrik Heintz:
Semantically grounded stream reasoning integrated with ROS. IROS 2013: 5935-5942 - [c22]Patrick Doherty, Fredrik Heintz, Jonas Kvarnström:
Robotics, Temporal Logic and Stream Reasoning. LPAR (short papers) 2013: 42-51 - 2012
- [c21]Fredrik Heintz, Zlatan Dragisic:
Semantic information integration for stream reasoning. FUSION 2012: 1454-1461 - [e2]Luc De Raedt, Christian Bessiere, Didier Dubois, Patrick Doherty, Paolo Frasconi, Fredrik Heintz, Peter J. F. Lucas:
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. Frontiers in Artificial Intelligence and Applications 242, IOS Press 2012, ISBN 978-1-61499-097-0 [contents] - 2011
- [c20]Patrick Doherty, Fredrik Heintz:
A delegation-based cooperative robotic framework. ROBIO 2011: 2955-2962 - [e1]Anders Kofod-Petersen, Fredrik Heintz, Helge Langseth:
Eleventh Scandinavian Conference on Artificial Intelligence, SCAI 2011, Trondheim, Norway, May 24th - 26th, 2011. Frontiers in Artificial Intelligence and Applications 227, IOS Press 2011, ISBN 978-1-60750-753-6 [contents] - 2010
- [j5]Fredrik Heintz, Jonas Kvarnström, Patrick Doherty:
Bridging the sense-reasoning gap: DyKnow - Stream-based middleware for knowledge processing. Adv. Eng. Informatics 24(1): 14-26 (2010) - [j4]Mattias Krysander, Fredrik Heintz, Jacob Roll, Erik Frisk:
FlexDx: A reconfigurable diagnosis framework. Eng. Appl. Artif. Intell. 23(8): 1303-1313 (2010) - [c19]Fredrik Heintz, Jonas Kvarnström, Patrick Doherty:
Stream-Based Middleware Support for Embedded Reasoning. AAAI Spring Symposium: Embedded Reasoning 2010 - [c18]Patrick Doherty, Fredrik Heintz, David Landén:
A Delegation-Based Architecture for Collaborative Robotics. AOSE 2010: 205-247 - [c17]Fredrik Heintz, Jonas Kvarnström, Patrick Doherty:
Stream-Based Reasoning Support for Autonomous Systems. ECAI 2010: 183-188 - [c16]Fredrik Heintz, Patrick Doherty:
Federated DyKnow, a distributed information fusion system for collaborative UAVs. ICARCV 2010: 1063-1069 - [c15]Patrick Doherty, Fredrik Heintz, David Landén:
A Distributed Task Specification Language for Mixed-Initiative Delegation. PRIMA 2010: 42-57 - [c14]David Landén, Fredrik Heintz, Patrick Doherty:
Complex Task Allocation in Mixed-Initiative Delegation: A UAV Case Study. PRIMA 2010: 288-303 - [i2]Patrick Doherty, Jonas Kvarnström, Fredrik Heintz, David Landén, Per-Magnus Olsson:
Research with Collaborative Unmanned Aircraft Systems. Cognitive Robotics 2010 - [i1]Fredrik Heintz, Jonas Kvarnström, Patrick Doherty:
Stream-Based Reasoning in DyKnow. Cognitive Robotics 2010
2000 – 2009
- 2009
- [b1]Fredrik Heintz:
DyKnow : A Stream-Based Knowledge Processing Middleware Framework. Linköping University, Sweden, 2009 - [j3]Patrick Doherty, Jonas Kvarnström, Fredrik Heintz:
A temporal logic-based planning and execution monitoring framework for unmanned aircraft systems. Auton. Agents Multi Agent Syst. 19(3): 332-377 (2009) - [c13]Fredrik Heintz, Jonas Kvarnström, Patrick Doherty:
A stream-based hierarchical anchoring framework. IROS 2009: 5254-5260 - 2008
- [c12]Jonas Kvarnström, Fredrik Heintz, Patrick Doherty:
A Temporal Logic-Based Planning and Execution Monitoring System. ICAPS 2008: 198-205 - [c11]Mattias Krysander, Fredrik Heintz, Jacob Roll, Erik Frisk:
Dynamic test selection for reconfigurable diagnosis. CDC 2008: 1066-1072 - [c10]Fredrik Heintz, Patrick Doherty:
DyKnow federations: Distributing and merging information among UAVs. FUSION 2008: 1-7 - [c9]Fredrik Heintz, Jonas Kvarnström, Patrick Doherty:
Knowledge Processing Middleware. SIMPAR 2008: 147-158 - 2007
- [c8]Fredrik Heintz, Piotr Rudol, Patrick Doherty:
From images to traffic behavior - A UAV tracking and monitoring application. FUSION 2007: 1-8 - [c7]Fredrik Heintz, Piotr Rudol, Patrick Doherty:
Bridging the Sense-Reasoning Gap Using DyKnow: A Knowledge Processing Middleware Framework. KI 2007: 460-463 - 2006
- [j2]Fredrik Heintz, Patrick Doherty:
A knowledge processing middleware framework and its relation to the JDL data fusion model. J. Intell. Fuzzy Syst. 17(4): 335-351 (2006) - 2004
- [j1]Fredrik Heintz, Patrick Doherty:
DyKnow: An approach to middleware for knowledge processing. J. Intell. Fuzzy Syst. 15(1): 3-13 (2004) - [c6]Patrick Doherty, Patrik Haslum, Fredrik Heintz, T. Merz, Per Nyblom, T. Persson, B. Wingman:
A Distributed Architecture for Autonomous Unmanned Aerial Vehicle Experimentation. DARS 2004: 233-242 - [c5]Fredrik Heintz, Patrick Doherty:
DyKnow: A Framework for Processing Dynamic Knowledge and Object Structures in Autonomous Systems. MSRAS 2004: 479-492 - 2001
- [c4]Fredrik Heintz, Johan Kummeneje, Paul Scerri:
Using Simulated RoboCup to Teach AI in Undergraduate Education. SCAI 2001: 13-21 - 2000
- [c3]Fredrik Heintz, Johan Kummeneje, Paul Scerri:
Using Simulated RoboCup in Undergraduate Education. RoboCup 2000: 309-314 - [c2]Anneli Dahlström, Fredrik Heintz, Martin Jacobsson, Johan Thapper, Martin Öberg:
The NOAI Team Description. RoboCup 2000: 413-416
1990 – 1999
- 1999
- [c1]Fredrik Heintz:
FCFoo99. RoboCup 1999: 563-566
Coauthor Index
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