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ORCIDGöran Falkman
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- affiliation: Chalmers University of Technology, Gothenburg, Sweden
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2020 – today
- 2025
[j13]Koen Vellenga, H. Joe Steinhauer, Alexander Karlsson, Göran Falkman, Asli Rhodin, Ashok Koppisetty:
Designing deep neural networks for driver intention recognition. Eng. Appl. Artif. Intell. 139: 109574 (2025)- 2024
- [c58]Sören Richard Stahlschmidt, Benjamin Ulfenborg, Göran Falkman, Jane Synnergren:
Domain Generalization of Deep Learning Models Under Subgroup Shift in Breast Cancer Prognosis. CIBCB 2024: 1-8 - [c57]Koen Vellenga, H. Joe Steinhauer, Göran Falkman, Tomas Björklund:
Evaluation of Video Masked Autoencoders' Performance and Uncertainty Estimations for Driver Action and Intention Recognition. WACV 2024: 7414-7422 - [i1]Koen Vellenga, H. Joe Steinhauer, Alexander Karlsson, Göran Falkman, Asli Rhodin, Ashok Koppisetty:
Designing deep neural networks for driver intention recognition. CoRR abs/2402.05150 (2024) - 2023
- [c56]Koen Vellenga
, Alexander Karlsson, H. Joe Steinhauer, Göran Falkman, Anders Sjögren:
Surrogate Deep Learning to Estimate Uncertainties for Driver Intention Recognition. ICMLC 2023: 252-258 - 2021
- [j12]Juhee Bae, Tove Helldin, Maria Riveiro, Slawomir Nowaczyk, Mohamed-Rafik Bouguelia, Göran Falkman:
Interactive Clustering: A Comprehensive Review. ACM Comput. Surv. 53(1): 1:1-1:39 (2021) - 2020
- [c55]Niclas Ståhl, Göran Falkman, Alexander Karlsson, Gunnar Mathiason:
Evaluation of Uncertainty Quantification in Deep Learning. IPMU (1) 2020: 556-568
2010 – 2019
- 2019
- [j11]Niclas Ståhl, Göran Falkman, Alexander Karlsson, Gunnar Mathiason, Jonas Boström:
Deep Reinforcement Learning for Multiparameter Optimization in de novo Drug Design. J. Chem. Inf. Model. 59(7): 3166-3176 (2019) - [j10]Niclas Ståhl, Göran Falkman, Alexander Karlsson, Gunnar Mathiason, Jonas Boström:
Deep Convolutional Neural Networks for the Prediction of Molecular Properties: Challenges and Opportunities Connected to the Data. J. Integr. Bioinform. 16(1) (2019) - [c54]Ahmad Al-Shishtawy, Juhee Bae, Mohamed-Rafik Bouguelia, Göran Falkman, Sarunas Girdzijauskas, Olof Gönerup, Anders Holst, Alexander Karlsson, Slawomir Nowaczyk, Sepideh Pashami, Alan Said, Amira A. Soliman El Hosary:
Eliciting Structures in Data. IUI Workshops 2019 - [p1]Juhee Bae, Göran Falkman, Tove Helldin, Maria Riveiro:
Visual Data Analysis. Data Science in Practice 2019: 133-155 - 2018
- [c53]Niclas Ståhl, Göran Falkman, Gunnar Mathiason, Alexander Karlsson:
A Self-Organizing Ensemble of Deep Neural Networks for the Classification of Data from Complex Processes. IPMU (3) 2018: 248-259 - [c52]Niclas Ståhl, Göran Falkman, Alexander Karlsson, Gunnar Mathiason, Jonas Boström:
Improving the Use of Deep Convolutional Neural Networks for the Prediction of Molecular Properties. PACBB 2018: 71-79 - 2017
- [c51]Juhee Bae, Elio Ventocilla, Maria Riveiro, Tove Helldin, Göran Falkman:
Evaluating Multi-attributes on Cause and Effect Relationship Visualization. VISIGRAPP (3: IVAPP) 2017: 64-74 - [c50]Rakesh Rana, Alexander Karlsson, Göran Falkman:
A framework for identifying and evaluating technologies of interest for effective business strategy: Using text analytics to augment technology forecasting. ISCBI 2017: 110-115 - 2016
- [c49]Ulrika Ohlander, Jens Alfredson, Maria Riveiro, Göran Falkman:
Elements of team effectiveness: A qualitative study with pilots. CogSIMA 2016: 21-27 - [c48]Tove Helldin, Maria Riveiro, Sepideh Pashami, Göran Falkman, Stefan Byttner, Slawomir Nowaczyk:
Supporting Analytical Reasoning - A Study from the Automotive Industry. HCI (5) 2016: 20-31 - [c47]Ulrika Ohlander, Jens Alfredson, Maria Riveiro, Göran Falkman:
A Teamwork Model for Fighter Pilots. HCI (6) 2016: 221-230 - 2015
- [j9]Rikard Laxhammar, Göran Falkman:
Inductive conformal anomaly detection for sequential detection of anomalous sub-trajectories. Ann. Math. Artif. Intell. 74(1-2): 67-94 (2015) - [j8]Alexander Karlsson, Björn Hammarfelt, H. Joe Steinhauer, Göran Falkman, Nasrine Olson, Gustaf Nelhans, Jan Michael Nolin:
Modeling uncertainty in bibliometrics and information retrieval: an information fusion approach. Scientometrics 102(3): 2255-2274 (2015) - [c46]Ulrika Ohlander, Jens Alfredson, Maria Riveiro, Göran Falkman:
Understanding Team Effectiveness in a Tactical Air Unit. HCI (6) 2015: 472-479 - 2014
- [j7]Maria Riveiro, Tove Helldin, Göran Falkman, Mikael Lebram:
Effects of visualizing uncertainty on decision-making in a target identification scenario. Comput. Graph. 41: 84-98 (2014) - [j6]Maria Riveiro, Göran Falkman:
Detecting anomalous behavior in sea traffic: A study of analytical strategies and their implications for surveillance systems. Int. J. Inf. Technol. Decis. Mak. 13(2): 317-360 (2014) - [j5]Rikard Laxhammar, Göran Falkman:
Online Learning and Sequential Anomaly Detection in Trajectories. IEEE Trans. Pattern Anal. Mach. Intell. 36(6): 1158-1173 (2014) - [c45]Maria Riveiro, Tove Helldin, Göran Falkman:
Influence of meta-information on decision-making: Lessons learned from four case studies. CogSIMA 2014: 14-20 - [c44]Tove Helldin, Ulrika Ohlander, Göran Falkman, Maria Riveiro:
Transparency of Automated Combat Classification. HCI (23) 2014: 22-33 - 2013
- [j4]Marie Gustafsson Friberger, Göran Falkman:
Collaboration processes, outcomes, challenges and enablers of distributed clinical communities of practice. Behav. Inf. Technol. 32(6): 519-531 (2013) - [c43]Tove Helldin, Göran Falkman, Maria Riveiro, Staffan Davidsson:
Presenting system uncertainty in automotive UIs for supporting trust calibration in autonomous driving. AutomotiveUI 2013: 210-217 - [c42]Maria Riveiro, Tove Helldin, Mikael Lebram, Göran Falkman:
Towards future threat evaluation systems: User study, proposal and precepts for design. FUSION 2013: 1863-1870 - [c41]Tove Helldin, Göran Falkman, Maria Riveiro, Anders Dahlbom, Mikael Lebram:
Transparency of Military Threat Evaluation through Visualizing Uncertainty and System Rationale. HCI (17) 2013: 263-272 - 2012
- [c40]Tove Helldin, Göran Falkman:
Human-centered automation for improving situation awareness in the fighter aircraft domain. CogSIMA 2012: 191-197 - [c39]Rikard Laxhammar, Göran Falkman:
Online Detection of Anomalous Sub-trajectories: A Sliding Window Approach Based on Conformal Anomaly Detection and Local Outlier Factor. AIAI (2) 2012: 192-202 - 2011
- [j3]Fredrik Johansson, Göran Falkman:
Real-time Allocation of Firing Units To Hostile Targets. J. Adv. Inf. Fusion 6(2): 187-199 (2011) - [c38]Tove Helldin, Göran Falkman, Jens Alfredson, Johan Holmberg:
The applicability of human-centred automation guidelines in the fighter aircraft domain. ECCE 2011: 67-74 - [c37]Rikard Laxhammar, Göran Falkman:
Sequential Conformal Anomaly Detection in trajectories based on Hausdorff distance. FUSION 2011: 1-8 - [c36]Tove Helldin, Göran Falkman:
Human-Centred Threat Evaluation in Future Fighter Aircraft. GI-Jahrestagung 2011: 502 - [c35]Maria Riveiro, Göran Falkman:
The role of visualization and interaction in maritime anomaly detection. Visualization and Data Analysis 2011: 78680M - 2010
- [c34]Tina Erlandsson, Tove Helldin, Göran Falkman, Lars Niklasson:
Information fusion supporting team situation awareness for future fighting aircraft. FUSION 2010: 1-8 - [c33]Fredrik Johansson, Göran Falkman:
Real-time allocation of defensive resources to rockets, artillery, and mortars. FUSION 2010: 1-8 - [c32]Fredrik Johansson, Göran Falkman:
SWARD: System for weapon allocation research & development. FUSION 2010: 1-7 - [c31]Anders Dahlbom, Lars Niklasson, Göran Falkman:
Evolving Petri Nets for Situation Recognition. GEM 2010: 29-25 - [c30]Fredrik Johansson, Göran Falkman:
A Suite of Metaheuristic Algorithms for Static Weapon-Target Allocation. GEM 2010: 132-138 - [c29]Maria Riveiro, Göran Falkman:
Supporting the Analytical Reasoning Process in Maritime Anomaly Detection: Evaluation and Experimental Design. IV 2010: 170-178 - [c28]Rikard Laxhammar, Göran Falkman:
Conformal prediction for distribution-independent anomaly detection in streaming vessel data. StreamKDD@KDD 2010: 47-55
2000 – 2009
- 2009
- [c27]Maria Riveiro, Göran Falkman:
Interactive Visualization of Normal Behavioral Models and Expert Rules for Maritime Anomaly Detection. CGIV 2009: 459-466 - [c26]Rikard Laxhammar, Göran Falkman, Egils Sviestins:
Anomaly detection in sea traffic - A comparison of the Gaussian Mixture Model and the Kernel Density Estimator. FUSION 2009: 756-763 - [c25]Fredrik Johansson, Göran Falkman:
Performance Evaluation of TEWA Systems for Improved Decision Support. MDAI 2009: 205-216 - [c24]Anders Dahlbom, Lars Niklasson, Göran Falkman:
Situation Recognition and Hypothesis Management Using Petri Nets. MDAI 2009: 303-314 - 2008
- [c23]Fredrik Johansson, Göran Falkman:
A Bayesian network approach to threat evaluation with application to an air defense scenario. FUSION 2008: 1-7 - [c22]Lars Niklasson, Maria Riveiro, Fredrik Johansson, Anders Dahlbom, Göran Falkman, Tom Ziemke, Christoffer Brax, Thomas Kronhamn, Martin Smedberg, Håkan Warston, Per M. Gustavsson:
Extending the scope of situation analysis. FUSION 2008: 1-8 - [c21]Maria Riveiro, Göran Falkman, Tom Ziemke:
Improving maritime anomaly detection and situation awareness through interactive visualization. FUSION 2008: 1-8 - [c20]Maria Riveiro, Göran Falkman, Tom Ziemke:
Visual Analytics for the Detection of Anomalous Maritime Behavior. IV 2008: 273-279 - [c19]Fredrik Johansson, Göran Falkman:
A Comparison between Two Approaches to Threat Evaluation in an Air Defense Scenario. MDAI 2008: 110-121 - [c18]Göran Falkman, Marie Gustafsson, Olof Torgersson, Mats Jontell:
Collaboration Patterns in an Online Community of Practice in Oral Medicine. MIE 2008: 175-180 - [c17]Maria Riveiro, Fredrik Johansson, Göran Falkman, Tom Ziemke:
Supporting Maritime Situation Awareness Using Self Organizing Maps and Gaussian Mixture Models. SCAI 2008: 84-91 - [c16]Göran Falkman, Marie Gustafsson, Olof Torgersson, Mats Jontell:
The Origin, Representation, and Use of Collaboration Patterns in a Medical Community of Practice. WSKS (1) 2008: 403-412 - 2007
- [c15]Lars Niklasson, Maria Riveiro, Fredrik Johansson, Anders Dahlbom, Göran Falkman, Tom Ziemke, Christoffer Brax, Thomas Kronhamn, Martin Smedberg, Håkan Warston, Per M. Gustavsson:
A Unified Situation Analysis Model for Human and Machine Situation Awareness. GI Jahrestagung (2) 2007: 105-109 - [c14]Göran Falkman, Marie Gustafsson, Mats Jontell, Olof Torgersson:
Towards pragmatic patterns for clinical knowledge management. ICPW 2007: 65-74 - [c13]Marie Gustafsson, Göran Falkman:
Experiences in Modeling Clinical Examinations in Oral Medicine Using OWL. OWLED 2007 - 2006
- [c12]Fredrik Johansson, Göran Falkman:
Implementation and integration of a Bayesian Network for prediction of tactical intention into a ground target simulator. FUSION 2006: 1-7 - [c11]Marie Gustafsson, Göran Falkman, Fredrik Lindahl, Olof Torgersson:
Enabling an Online Community for Sharing Oral Medicine Cases Using Semantic Web Technologies. ISWC 2006: 820-832 - 2005
- [c10]Göran Falkman, Olof Torgersson, Mats Jontell, Marie Gustafsson:
SOMWeb - Towards an Infrastructure for Knowledge Sharing in Oral Medicine. MIE 2005: 527-532 - [c9]Marie Gustafsson, Göran Falkman:
Representing Clinical Knowledge in Oral Medicine Using Ontologies. MIE 2005: 743-748 - 2003
- [b1]Göran Falkman:
Issues in Structured Knowledge Representation A Definitional Approach with Application to Case-Based Reasoning and Medical Informatics. Chalmers University of Technology, Gothenburg, Sweden, 2003 - 2002
- [c8]Göran Falkman, Olof Torgersson:
Knowledge Acquisition and Modeling in Clinical Information Systems: A Case Study. EKAW 2002: 96-101 - [c7]Göran Falkman:
Adaptation Using Iterated Estimations. ECCBR 2002: 88-102 - [c6]Göran Falkman:
The Use of a Uniform Declarative Model in 3D Visualisation for Case-Based Reasoning. ECCBR 2002: 103-117 - [c5]Göran Falkman, Olof Torgersson:
Enhancing Usefulness of Declarative Programming Frameworks through Complete Integration. WLPE 2002: 111-122 - 2001
- [j2]Göran Falkman:
Information visualisation in clinical Odontology: multidimensional analysis and interactive data exploration. Artif. Intell. Medicine 22(2): 133-158 (2001) - 2000
- [c4]Göran Falkman:
SimVis: an interaction model for exploring clinical data. CHI Extended Abstracts 2000: 319-320 - [c3]Göran Falkman:
Similarity Measures for Structured Representations: A Definitional Approach. EWCBR 2000: 380-392
1990 – 1999
- 1997
- [j1]Göran Falkman:
Program Separation and Definitional Higher Order Programming. Comput. Lang. 23(2-4): 179-206 (1997) - 1994
- [c2]Göran Falkman, Lars Hallnäs, Olof Torgersson:
Program Separation in GCLA. ICLP Workshop: Proof-Theoretical Extensions on Logic Programming 1994 - 1993
- [c1]Göran Falkman, Olof Torgersson:
Programming Methodologies in GCLA. ELP 1993: 120-151
Coauthor Index
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