Programming Methodologies in GCLA. - Göran Falkman; Olof Torgersson (ELP, 1993)

Program Separation in GCLA. - Göran Falkman; Lars Hallnäs; Olof Torgersson (ICLP Workshop: Proof-Theoretical Extensions on Logic Programming, 1994)

Program Separation and Definitional Higher Order Programming. - Göran Falkman (Comput. Lang., 1997)

SimVis: an interaction model for exploring clinical data. - Göran Falkman (CHI Extended Abstracts, 2000)

Similarity Measures for Structured Representations: A Definitional Approach. - Göran Falkman (EWCBR, 2000)

Information visualisation in clinical Odontology: multidimensional analysis and interactive data exploration. - Göran Falkman (Artif. Intell. Medicine, 2001)

Knowledge Acquisition and Modeling in Clinical Information Systems: A Case Study. - Göran Falkman; Olof Torgersson (EKAW, 2002)

Adaptation Using Iterated Estimations. - Göran Falkman (ECCBR, 2002)

The Use of a Uniform Declarative Model in 3D Visualisation for Case-Based Reasoning. - Göran Falkman (ECCBR, 2002)

Enhancing Usefulness of Declarative Programming Frameworks through Complete Integration. - Göran Falkman; Olof Torgersson (WLPE, 2002)

Issues in Structured Knowledge Representation A Definitional Approach with Application to Case-Based Reasoning and Medical Informatics. - Göran Falkman (2003)

SOMWeb - Towards an Infrastructure for Knowledge Sharing in Oral Medicine. - Göran Falkman; Olof Torgersson; Mats Jontell; Marie Gustafsson (MIE, 2005)

Representing Clinical Knowledge in Oral Medicine Using Ontologies. - Marie Gustafsson; Göran Falkman (MIE, 2005)

Implementation and integration of a Bayesian Network for prediction of tactical intention into a ground target simulator. - Fredrik Johansson; Göran Falkman (FUSION, 2006)

Enabling an Online Community for Sharing Oral Medicine Cases Using Semantic Web Technologies. - Marie Gustafsson; Göran Falkman; Fredrik Lindahl; Olof Torgersson (ISWC, 2006)

A Unified Situation Analysis Model for Human and Machine Situation Awareness. - Lars Niklasson; Maria Riveiro 001; Fredrik Johansson; Anders Dahlbom; Göran Falkman; Tom Ziemke; Christoffer Brax; Thomas Kronhamn; Martin Smedberg; Håkan Warston; Per M. Gustavsson (GI Jahrestagung (2), 2007)

Towards pragmatic patterns for clinical knowledge management. - Göran Falkman; Marie Gustafsson; Mats Jontell; Olof Torgersson (ICPW, 2007)

Experiences in Modeling Clinical Examinations in Oral Medicine Using OWL. - Marie Gustafsson; Göran Falkman (OWLED, 2007)

A Bayesian network approach to threat evaluation with application to an air defense scenario. - Fredrik Johansson; Göran Falkman (FUSION, 2008)

Extending the scope of situation analysis. - Lars Niklasson; Maria Riveiro 001; Fredrik Johansson; Anders Dahlbom; Göran Falkman; Tom Ziemke; Christoffer Brax; Thomas Kronhamn; Martin Smedberg; Håkan Warston; Per M. Gustavsson (FUSION, 2008)

Improving maritime anomaly detection and situation awareness through interactive visualization. - Maria Riveiro 001; Göran Falkman; Tom Ziemke (FUSION, 2008)

Visual Analytics for the Detection of Anomalous Maritime Behavior. - Maria Riveiro 001; Göran Falkman; Tom Ziemke (IV, 2008)

A Comparison between Two Approaches to Threat Evaluation in an Air Defense Scenario. - Fredrik Johansson; Göran Falkman (MDAI, 2008)

Collaboration Patterns in an Online Community of Practice in Oral Medicine. - Göran Falkman; Marie Gustafsson; Olof Torgersson; Mats Jontell (MIE, 2008)

Supporting Maritime Situation Awareness Using Self Organizing Maps and Gaussian Mixture Models. - Maria Riveiro 001; Fredrik Johansson; Göran Falkman; Tom Ziemke (SCAI, 2008)

The Origin, Representation, and Use of Collaboration Patterns in a Medical Community of Practice. - Göran Falkman; Marie Gustafsson; Olof Torgersson; Mats Jontell (WSKS (1), 2008)

Interactive Visualization of Normal Behavioral Models and Expert Rules for Maritime Anomaly Detection. - Maria Riveiro 001; Göran Falkman (CGIV, 2009)

Anomaly detection in sea traffic - A comparison of the Gaussian Mixture Model and the Kernel Density Estimator. - Rikard Laxhammar; Göran Falkman; Egils Sviestins (FUSION, 2009)

Situation Recognition and Hypothesis Management Using Petri Nets. - Anders Dahlbom; Lars Niklasson; Göran Falkman (MDAI, 2009)

Performance Evaluation of TEWA Systems for Improved Decision Support. - Fredrik Johansson; Göran Falkman (MDAI, 2009)

Information fusion supporting team situation awareness for future fighting aircraft. - Tina Erlandsson; Tove Helldin; Göran Falkman; Lars Niklasson (FUSION, 2010)

Real-time allocation of defensive resources to rockets, artillery, and mortars. - Fredrik Johansson; Göran Falkman (FUSION, 2010)

SWARD: System for weapon allocation research & development. - Fredrik Johansson; Göran Falkman (FUSION, 2010)

Evolving Petri Nets for Situation Recognition. - Anders Dahlbom; Lars Niklasson; Göran Falkman (GEM, 2010)

A Suite of Metaheuristic Algorithms for Static Weapon-Target Allocation. - Fredrik Johansson; Göran Falkman (GEM, 2010)

Supporting the Analytical Reasoning Process in Maritime Anomaly Detection: Evaluation and Experimental Design. - Maria Riveiro 001; Göran Falkman (IV, 2010)

Conformal prediction for distribution-independent anomaly detection in streaming vessel data. - Rikard Laxhammar; Göran Falkman (StreamKDD@KDD, 2010)

The applicability of human-centred automation guidelines in the fighter aircraft domain. - Tove Helldin; Göran Falkman; Jens Alfredson; Johan Holmberg (ECCE, 2011)

Sequential Conformal Anomaly Detection in trajectories based on Hausdorff distance. - Rikard Laxhammar; Göran Falkman (FUSION, 2011)

Human-Centred Threat Evaluation in Future Fighter Aircraft. - Tove Helldin; Göran Falkman (GI-Jahrestagung, 2011)

The role of visualization and interaction in maritime anomaly detection. - Maria Riveiro 001; Göran Falkman (Visualization and Data Analysis, 2011)

Real-time Allocation of Firing Units To Hostile Targets. - Fredrik Johansson; Göran Falkman (J. Adv. Inf. Fusion, 2011)

Human-centered automation for improving situation awareness in the fighter aircraft domain. - Tove Helldin; Göran Falkman (CogSIMA, 2012)

Online Detection of Anomalous Sub-trajectories: A Sliding Window Approach Based on Conformal Anomaly Detection and Local Outlier Factor. - Rikard Laxhammar; Göran Falkman (AIAI (2), 2012)

Presenting system uncertainty in automotive UIs for supporting trust calibration in autonomous driving. - Tove Helldin; Göran Falkman; Maria Riveiro 001; Staffan Davidsson (AutomotiveUI, 2013)

Towards future threat evaluation systems: User study, proposal and precepts for design. - Maria Riveiro 001; Tove Helldin; Mikael Lebram; Göran Falkman (FUSION, 2013)

Transparency of Military Threat Evaluation through Visualizing Uncertainty and System Rationale. - Tove Helldin; Göran Falkman; Maria Riveiro 001; Anders Dahlbom; Mikael Lebram (HCI (17), 2013)

Collaboration processes, outcomes, challenges and enablers of distributed clinical communities of practice. - Marie Gustafsson Friberger; Göran Falkman (Behav. Inf. Technol., 2013)

Influence of meta-information on decision-making: Lessons learned from four case studies. - Maria Riveiro 001; Tove Helldin; Göran Falkman (CogSIMA, 2014)

Transparency of Automated Combat Classification. - Tove Helldin; Ulrika Ohlander; Göran Falkman; Maria Riveiro 001 (HCI (23), 2014)

Effects of visualizing uncertainty on decision-making in a target identification scenario. - Maria Riveiro 001; Tove Helldin; Göran Falkman; Mikael Lebram (Comput. Graph., 2014)

Detecting anomalous behavior in sea traffic: A study of analytical strategies and their implications for surveillance systems. - Maria Riveiro 001; Göran Falkman (Int. J. Inf. Technol. Decis. Mak., 2014)

Online Learning and Sequential Anomaly Detection in Trajectories. - Rikard Laxhammar; Göran Falkman (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Understanding Team Effectiveness in a Tactical Air Unit. - Ulrika Ohlander; Jens Alfredson; Maria Riveiro 001; Göran Falkman (HCI (6), 2015)

Inductive conformal anomaly detection for sequential detection of anomalous sub-trajectories. - Rikard Laxhammar; Göran Falkman (Ann. Math. Artif. Intell., 2015)

Modeling uncertainty in bibliometrics and information retrieval: an information fusion approach. - Alexander Karlsson; Björn Hammarfelt; H. Joe Steinhauer; Göran Falkman; Nasrine Olson; Gustaf Nelhans; Jan Michael Nolin (Scientometrics, 2015)

Elements of team effectiveness: A qualitative study with pilots. - Ulrika Ohlander; Jens Alfredson; Maria Riveiro 001; Göran Falkman (CogSIMA, 2016)

Supporting Analytical Reasoning - A Study from the Automotive Industry. - Tove Helldin; Maria Riveiro 001; Sepideh Pashami; Göran Falkman; Stefan Byttner; Slawomir Nowaczyk (HCI (5), 2016)

A Teamwork Model for Fighter Pilots. - Ulrika Ohlander; Jens Alfredson; Maria Riveiro 001; Göran Falkman (HCI (6), 2016)

Evaluating Multi-attributes on Cause and Effect Relationship Visualization. - Juhee Bae; Elio Ventocilla; Maria Riveiro 001; Tove Helldin; Göran Falkman (VISIGRAPP (3: IVAPP), 2017)

A framework for identifying and evaluating technologies of interest for effective business strategy: Using text analytics to augment technology forecasting. - Rakesh Rana; Alexander Karlsson; Göran Falkman (ISCBI, 2017)

A Self-Organizing Ensemble of Deep Neural Networks for the Classification of Data from Complex Processes. - Niclas Ståhl; Göran Falkman; Gunnar Mathiason; Alexander Karlsson (IPMU (3), 2018)

Improving the Use of Deep Convolutional Neural Networks for the Prediction of Molecular Properties. - Niclas Ståhl; Göran Falkman; Alexander Karlsson; Gunnar Mathiason; Jonas Boström (PACBB, 2018)

Visual Data Analysis. - Juhee Bae; Göran Falkman; Tove Helldin; Maria Riveiro 001 (Data Science in Practice, 2019)

Eliciting Structures in Data. - 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 (IUI Workshops, 2019)

Deep Reinforcement Learning for Multiparameter Optimization in de novo Drug Design. - Niclas Ståhl; Göran Falkman; Alexander Karlsson; Gunnar Mathiason; Jonas Boström (J. Chem. Inf. Model., 2019)

Deep Convolutional Neural Networks for the Prediction of Molecular Properties: Challenges and Opportunities Connected to the Data. - Niclas Ståhl; Göran Falkman; Alexander Karlsson; Gunnar Mathiason; Jonas Boström (J. Integr. Bioinform., 2019)

Evaluation of Uncertainty Quantification in Deep Learning. - Niclas Ståhl; Göran Falkman; Alexander Karlsson; Gunnar Mathiason (IPMU (1), 2020)

Interactive Clustering: A Comprehensive Review. - Juhee Bae; Tove Helldin; Maria Riveiro 001; Slawomir Nowaczyk; Mohamed-Rafik Bouguelia; Göran Falkman (ACM Comput. Surv., 2021)

Surrogate Deep Learning to Estimate Uncertainties for Driver Intention Recognition. - Koen Vellenga; Alexander Karlsson; H. Joe Steinhauer; Göran Falkman; Anders Sjögren (ICMLC, 2023)

Domain Generalization of Deep Learning Models Under Subgroup Shift in Breast Cancer Prognosis. - Sören Richard Stahlschmidt; Benjamin Ulfenborg; Göran Falkman; Jane Synnergren (CIBCB, 2024)

Evaluation of Video Masked Autoencoders' Performance and Uncertainty Estimations for Driver Action and Intention Recognition. - Koen Vellenga; H. Joe Steinhauer; Göran Falkman; Tomas Björklund (WACV, 2024)

Designing deep neural networks for driver intention recognition. - Koen Vellenga; H. Joe Steinhauer; Alexander Karlsson; Göran Falkman; Asli Rhodin; Ashok Koppisetty (Eng. Appl. Artif. Intell., 2025)

Last Layer Hamiltonian Monte Carlo. - Koen Vellenga; H. Joe Steinhauer; Göran Falkman; Jonas Andersson 007; Anders Sjögren (CoRR, 2025)