Antologibidrag

• Li, Z., Tan, H., Lattanzi, L., Jarfors, A., Jansson, P. (2023). On the Possibility of Replacing Scheil-Gulliver Modeling with Machine Learning and Neural Network Models. In: A. Pola, M. Tocci and A. Rassili (Ed.), Solid State Phenomena Trans Tech Publications
• Hedblom, M. (2022). Methodological reflection of the documentalysis of .co.kr from the %WRONG Browser series. In: I. Hinterwaldner, D. Hönigsberg & M. Konstantin (Ed.), Begriffe des digitalen Bildes Hildesheim: Open Publishing LMU
• Blomqvist, E., Hahmann, T., Hammar, K., Hitzler, P., Hoekstra, R., Mutharaju, R. ... Zhou, L. (2021). Preface. In: E. Blomqvist, T. Hahmann, K. Hammar, P. Hitzler, R. Hoekstra, R. Mutharaju, M. Poveda-Villalón, C. Shimizu, M. G. Skjæveland, M. Solanki, V. Svátek, & L. Zhou (Ed.), Studies on the Semantic Web Amsterdam: IOS Press
• Hammar, K. (2021). Ontology Design Principles for Model-Driven Applications. In: E. Blomqvist, T. Hahmann, K. Hammar, P. Hitzler, R. Hoekstra, R. Mutharaju, M. Poveda-Villalón, C. Shimizu, M. G. Skjæveland, M. Solanki, V. Svátek, & L. Zhou (Ed.), Studies on the Semantic Web Amsterdam: IOS Press
• Angelova, M., Vishnu Manasa, D., Boeva, V., Linde, P., Lavesson, N. (2019). An Expertise Recommender System based on Data from an Institutional Repository (DiVA). In: Connecting the Knowledge Common from Projects to sustainable Infrastructure: The 22nd International conference on Electronic Publishing - Revised Selected Papers (pp. 135-149). OpenEdition Press
• Hitzler, P., Fernandez, M., Janowicz, K., Zaveri, A., Gray, A., Lopez, V. ... Hammar, K. (2019). Preface. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Springer
• Janowicz, K., Krisnadhi, A., Poveda Villalón, M., Hammar, K., Shimizu, C. (2019). Preface. In: CEUR Workshop Proceedings CEUR-WS
• García Martín, E., Lavesson, N., Grahn, H. (2017). Energy Efficiency Analysis of the Very Fast Decision Tree Algorithm. In: Rokia Missaoui, Talel Abdessalem, Matthieu Latapy (Ed.), Lectures Notes in Social Networks Cham, Switzerland: Springer
• Tarasov, V., Tan, H., Ismail, M., Adlemo, A., Johansson, M. (2017). Application of inference rules to a software requirements ontology to generate software test cases. In: Lecture Notes in Computer Science Cham: Springer
• Blomqvist, E., Hammar, K., Presutti, V. (2016). Engineering Ontologies with Patterns - The eXtreme Design Methodology. In: Pascal Hitzler, Aldo Gangemi, Krzysztof Janowicz, Adila Krisnadhi, Valentina Presutti (Ed.), Studies on the Semantic Web IOS Press
• Hammar, K. (2016). Quality of Content Ontology Design Patterns. In: Pascal Hitzler, Aldo Gangemi, Krzysztof Janowicz, Adila Krisnadhi, Valentina Presutti (Ed.), Studies on the Semantic Web IOS Press
• Hammar, K., Blomqvist, E., Carral, D., Van Erp, M., Fokkens, A., Gangemi, A. ... Svatek, V. (2016). Collected Research Questions Concerning Ontology Design Patterns. In: Pascal Hitzler, Aldo Gangemi, Krzysztof Janowicz, Adila Krisnadhi, Valentina Presutti (Ed.), Studies on the Semantic Web IOS Press
• Tarasov, V., Sandkuhl, K., Lundqvist, M. (2010). Modeling Collaborative Design Competence with Ontologies. In: In Lee (Ed.), Encyclopedia of E-Business Development and Management in the Global Economy (pp. 942-951). IGI Global
• Elgh, F., Sunnersjö, S. (2009). Collaborative Engineering for Enhanced Producibility by Ontology-based Integration of Design and Production. In: Advances in E-Collaboration (AECOB) Book Series Hershey: Information Science Reference
• Elgh, F., Sunnersjö, S. (2009). An Ontology Approach to Collaborative Engineering for Producibility. In: E-Collaboration: Concepts, Methodologies, Tools, and Applications (pp. 1000-1019). Hershey/New York: Information Science Reference
• Tarasov, V., Sandkuhl, K., Lundqvist, M. (2009). Ontology-based Competence Model for Collaborative Design. In: Ned Kock (Ed.), Advances in E-Collaboration (AECOB) Book Series Hershey: Information Science Reference
• Albertsen, T., Sandkuhl, K., Tarasov, V. (2008). Towards Competence Modeling and Competence Matching for Network-Based Defense. In: M. Norsell (Ed.), Stockholm contributions in military-technology Stockholm: Swedish National Defence College
• Johansson, Ö., Tarasov, V. (2004). CaseMaster – an interactive tool for case-based learning over the network. In: F. Buchberger & K. Enser (Ed.), @ - Learning in Higher Education II (pp. 66-80). Linz: Trauner Verlag
• Tarasov, V., Paulsson, F. (2004). Development of a standard for representation of cases. In: F. Buchberger & K. Enser (Ed.), Schriften der pädagogischen Akademie des Bundes in Oberösterreich Linz: Trauner Verlag
• Tarasov, V., Johansson, B. (2002). Active learning models and instructional systems. In: F. Buchberger, S. Berghammer & K. Enser (Ed.), @ – Learning in Higher Education Linz: Trauner Verlag

Artikel (icke refereegranskat)

• Tzanetos, A., Dounias, G. (2024). Editorial: Introduction to the special issue “Data in Management and Decision Engineering”. Data in Brief
• Laudon, H., Lidberg, W., Sponseller, R., Hasselquist, E., Westphal, F., Ostlund, L. ... Agren, A. (2022). Emerging technology can guide ecosystem restoration for future water security. Hydrological Processes 36(10),
• Green, D., Lavesson, N. (2019). Chaos theory and artificial intelligence may provide insights on disability outcomes. Developmental Medicine & Child Neurology 61(10), 1120-1120

Artikel (refereegranskat)

• Eiter, T., Geibinger, T., Higuera Ruiz, N., Musliu, N., Oetsch, J., Pfliegler, D., Stepanova, D. (2024). Adaptive large-neighbourhood search for optimisation in answer-set programming. Artificial Intelligence
• Hedblom, M. (2024). Every dog has its day: An in-depth analysis ofthe creative ability of visual generative AI. Cosmos + Taxis 12(5 + 6), 88-103
• Hedblom, M., Neuhaus, F., Mossakowski, T. (2024). The Diagrammatic Image Schema Language (DISL). Spatial Cognition and Computation
• Kebede, R., Moscati, A., Tan, H., Johansson, P. (2024). A modular ontology modeling approach to developing digital product passports to promote circular economy in the built environment. Sustainable Production and Consumption (pp. 248-268).
• Li, Z., Tan, H., Jarfors, A., Jansson, P., Lattanzi, L. (2024). Smart-Cast: An AI-Based System for Semisolid Casting Process Control. Procedia Computer Science (pp. 2440-2447).
• Li, Z., Tan, H., Jarfors, A., Steggo, J., Lattanzi, L., Jansson, P. (2024). On the potential of using ensemble learning algorithm to approach the partitioning coefficient (k) value in Scheil–Gulliver equation. Materials Genome Engineering Advances
• Lidberg, W., Westphal, F., Brax, C., Sandstrom, C., Ostlund, L. (2024). Detection of Hunting Pits using Airborne Laser Scanning and Deep Learning. Journal of field archaeology
• Löfström, H., Löfström, T., Johansson, U., Sönströd, C. (2024). Calibrated explanations: With uncertainty information and counterfactuals. Expert systems with applications
• McShane, S., Norinder, U., Alvarsson, J., Ahlberg, E., Carlsson, L., Spjuth, O. (2024). CPSign - Conformal Prediction for Cheminformatics Modeling. Journal of Cheminformatics 16(1),
• Peretz-Andersson, E., Tabares, S., Mikalef, P., Parida, V. (2024). Artificial intelligence implementation in manufacturing SMEs: A resource orchestration approach. International Journal of Information Management
• Pettersson, T., Riveiro, M., Löfström, T. (2024). Multimodal fine-grained grocery product recognition using image and OCR text. Machine Vision and Applications 35(4),
• Flyckt, J., Andersson, F., Westphal, F., Mansson, A., Lavesson, N. (2023). Explaining rifle shooting factors through multi-sensor body tracking. Intelligent Data Analysis 27(2), 535-554
• Johansson, U., Löfström, T., Boström, H. (2023). Conformal Predictive Distribution Trees. Annals of Mathematics and Artificial Intelligence
• Lidberg, W., Paul, S., Westphal, F., Richter, K., Lavesson, N., Melniks, R. ... agren, A. (2023). Mapping Drainage Ditches in Forested Landscapes Using Deep Learning and Aerial Laser Scanning. Journal of irrigation and drainage engineering 149(3),
• Löfström, H., Löfström, T., Johansson, U., Sönströd, C. (2023). Investigating the impact of calibration on the quality of explanations. Annals of Mathematics and Artificial Intelligence
• Pomarlan, M., Hedblom, M., Porzel, R. (2023). Curiously exploring affordance spaces of a pouring task. Expert systems (Print) 40(6),
• Sadri, H., Yitmen, I., Tagliabue, L., Westphal, F., Tezel, A., Taheri, A., Sibenik, G. (2023). Integration of Blockchain and Digital Twins in the Smart Built Environment Adopting Disruptive Technologies—A Systematic Review. MDPI
• Shimizu, C., Hammar, K., Hitzler, P. (2023). Modular ontology modeling. Semantic Web 14(3), 459-489
• Höffner, S., Porzel, R., Hedblom, M., Pomarlan, M., Cangalovic, V., Pfau, J. ... Malaka, R. (2022). Deep understanding of everyday activity commands for household robots. Semantic Web 13(5), 895-909
• Johansson, U., Sönströd, C., Löfström, T., Boström, H. (2022). Rule extraction with guarantees from regression models. Pattern Recognition
• Kebede, R., Moscati, A., Tan, H., Johansson, P. (2022). Integration of manufacturers' product data in BIM platforms using semantic web technologies. Automation in Construction
• Peretz-Andersson, E., Torkar, R. (2022). Empirical AI Transformation Research: A Systematic Mapping Study and Future Agenda. e-Informatica Software Engineering Journal 16(1),
• Ståhl, N., Weimann, L. (2022). Identifying wetland areas in historical maps using deep convolutional neural networks. Ecological Informatics
• Arvidsson, S., Gullstrand, M., Sirmacek, B., Riveiro, M. (2021). Sensor fusion and convolutional neural networks for indoor occupancy prediction using multiple low-cost low-resolution heat sensor data. Sensors 21(4), 1-21
• García-Martín, E., Bifet, A., Lavesson, N. (2021). Energy modeling of Hoeffding tree ensembles. Intelligent Data Analysis 25(1), 81-104
• García-Martín, E., Lavesson, N., Grahn, H., Casalicchio, E., Boeva, V. (2021). Energy-aware very fast decision tree. International Journal of Data Science and Analytics 11(2), 105-126
• Kusetogullari, H., Yavariabdi, A., Hall, J., Lavesson, N. (2021). DIGITNET: A Deep Handwritten Digit Detection and Recognition Method Using a New Historical Handwritten Digit Dataset. Big Data Research
• Oucheikh, R., Löfström, T., Ahlberg, E., Carlsson, L. (2021). Rolling cargo management using a deep reinforcement learning approach. Logistics 5(1),
• Oucheikh, R., Pettersson, T., Löfström, T. (2021). Product verification using OCR classification and Mondrian conformal prediction. Expert systems with applications
• Ouchiekh, R., Fri, M., Touil, A., Echchatbi, A. (2021). Total weighted tardiness in the permutation flow shop under uncertainty. IFAC-PapersOnLine series 54(1), 1174-1180
• Tan, H., Tarasov, V., Jarfors, A., Seifeddine, S. (2021). A design of fuzzy inference systems to predict tensile properties of as-cast alloy. The International Journal of Advanced Manufacturing Technology 113(3-4), 1111-1123
• Linusson, H., Johansson, U., Boström, H. (2020). Efficient conformal predictor ensembles. Neurocomputing (pp. 266-278).
• Sirmacek, B., Riveiro, M. (2020). Occupancy prediction using low-cost and low-resolution heat sensors for smart offices. Sensors 20(19),
• Tarasov, V., Tan, H., Jarfors, A., Seifeddine, S. (2020). Fuzzy logic-based modelling of yield strength of as-cast A356 alloy. Neural Computing & Applications 32(10), 5833-5844
• Buendia, R., Kogej, T., Engkvist, O., Carlsson, L., Linusson, H., Johansson, U. ... Ahlberg, E. (2019). Accurate Hit Estimation for Iterative Screening Using Venn-ABERS Predictors. Journal of Chemical Information and Modeling 59(3), 1230-1237
• Dórea, F., Vial, F., Hammar, K., Lindberg, A., Lambrix, P., Blomqvist, E., Revie, C. (2019). Drivers for the development of an Animal Health Surveillance Ontology (AHSO). Preventive Veterinary Medicine (pp. 39-48).
• Johansson, U., Löfström, T., Linusson, H., Boström, H. (2019). Efficient Venn Predictors using Random Forests. Machine Learning 108(3), 535-550
• Tan, H., Tarasov, V., Jarfors, A., Seifeddine, S. (2019). Fuzzy Logic Based Modelling of Cast Component Properties. IFAC-PapersOnLine 52(13), 1132-1137
• Alirezaie, M., Hammar, K., Blomqvist, E. (2018). SmartEnv as a Network of Ontology Patterns. Semantic Web 9(6), 903-918
• Johansson, U., Linusson, H., Löfström, T., Boström, H. (2018). Interpretable regression trees using conformal prediction. Expert systems with applications (pp. 394-404).
• Löfström, H., Löfström, T., Johansson, U. (2018). Interpretable instance-based text classification for social science research projects. Archives of Data Science, Series A 5(1),
• Westphal, F., Grahn, H., Lavesson, N. (2018). Efficient document image binarization using heterogeneous computing and parameter tuning. International Journal on Document Analysis and Recognition 21(1-2), 41-58
• Boström, H., Linusson, H., Löfström, T., Johansson, U. (2017). Accelerating difficulty estimation for conformal regression forests. Annals of Mathematics and Artificial Intelligence 81(1-2), 125-144
• Sandkuhl, K., Lin, F., Shilov, N., Smirnov, A., Tarasov, V., Krizhanovsky, A. (2013). Logistics-as-a-service: Ontology-based architecture and approach. Revista Investigación Operacional 34(3), 188-194
• Tarasov, V. (2012). Ontology-based Approach to Competence Profile Management. Journal of universal computer science (Online) 18(20), 2893-2919
• Oetsch, J., Pührer, J., Schwengerer, M., Tompits, H. (2010). The system Kato: Detecting cases of plagiarism for answer-set programs. Theory and Practice of Logic Programming 10(4-6), 759-775
• Raudberget, D. (2010). Practical Applications of Set-Based Concurrent Engineering in Industry. Strojniski vestnik 56(11), 685-695
• Elgh, F. (2008). Supporting Management and Maintenance of Manufacturing Knowledge in Design Automation Systems. Advanced Engineering Informatics 22(4), 445-456
• Elgh, F., Cederfeldt, M. (2008). Cost-based Producibility Assessment: Analysis and Synthesis Approaches through Design Automation. Journal of engineering design (Print) 19(2), 113-130
• Cederfeldt, M. (2007). Towards a Strategy for Mapping of Design Problems to Suitable Solutions: A Case of Design Automation using CBR. Strojarstvo 49(1), 17-24
• Elgh, F., Cederfeldt, M. (2007). Concurrent Cost Estimation as a Tool for Enhanced Producibility: System Development and Applicability for Producibility Studies. International Journal of Production Economics 109(1-2), 12-26
• Elgh, F., Sunnersjö, S. (2007). An Ontology Approach To Collaborative Engineering For Producibility. International Journal of e-collaboration 3(4), 21-45
• Tarasov, V., Lundqvist, M. (2007). Modeling Collaborative Design Competence with Ontologies. International Journal of e-collaboration 3(4), 46-62
• Sunnersjö, S., Cederfeldt, M., Elgh, F., Rask, I. (2006). A Transparent Design System for Iterative Product Development. Journal of Computing and Information Science in Engineering 6(3), 300-307

Doktorsavhandling

• Hammar, K. (2017). Content Ontology Design Patterns: Qualities, Methods, and Tools. (Doctoral thesis, Linköping: Linköping University Electronic Press)
• Stolt, R. (2008). CAD-Model Parsing for Automated Design and Design Evaluation. (Doctoral thesis, Göteborg: Chalmers Reproservice)
• Cederfeldt, M. (2007). Planning Design Automation: A Structured Method and Supporting Tools. (Doctoral thesis, Göteborg: Department of Product and Production Development, Chalmers University of Technology)
• Elgh, F. (2007). Computer-Supported Design for Producibility: Principles and Models for System Realisation and Utilisation. (Doctoral thesis, Göteborg: Chalmers University of Technology)

Konferensbidrag

• Douaioui, K., Oucheikh, R., Mabrouki, C. (2024). Enhancing Supply Chain Resilience: A Deep Learning Approach to Late Delivery Risk Prediction. IEEE
• Douaioui, K., Oucheikh, R., Mabroukil, C. (2024). Blockchain-IIoT Integration: Revolutionizing Smart Manufacturing Process Monitoring. IEEE
• Küdela, J., Juříček, M., Parǎk, R., Tzanetos, A., Matoušek, R. (2024). Benchmarking Derivative-Free Global Optimization Methods on Variable Dimension Robotics Problems. IEEE conference proceedings
• Löfström, H., Löfström, T. (2024). Conditional Calibrated Explanations: Finding a Path Between Bias and Uncertainty. Springer
• Pettersson, M., Westphal, F., Riveiro, M. (2024). Exploring demonstration pre-training with improved Deep Q-learning. Linköping: Linköping University Electronic Press
• Pomarlan, M., Hedblom, M., Spillner, L., Porzel, R. (2024). Revising defeasible theories via instructions. Cham: Springer
• Tan, H., Kebede, R., Moscati, A., Johansson, P. (2024). Semantic interoperability using ontologies and standards for building product properties. CEUR-WS
• Tan, H., Westphal, F. (2024). A Semantic Representation of Pedestrian Crossing Behavior. CEUR-WS
• Taromirad, M., Runeson, P. (2024). A Literature Survey of Assertions in Software Testing. Springer
• Alkhatib, A., Boström, H., Ennadir, S., Johansson, U. (2023). Approximating Score-based Explanation Techniques Using Conformal Regression. ML Research Press
• Althoff, S., Szabadváry, J., Anderson, J., Carlsson, L. (2023). Evaluation of conformal-based probabilistic forecasting methods for short-term wind speed forecasting. ML Research Press
• Hedblom, M. (2023). When Push Comes to Shove: A Formal Analysis of the Conceptual Primitives in Pushing. CEUR-WS
• Hedblom, M. (2023). The Silent Expression: The ethical issues with meaningless AI-generated images entering the art scene.
• Johansson, P., Fischl, G., Hammar, K. (2023). Occupancy assessment for lighting evaluation using Digital Twin technology. Abingdon: CRC Press
• Johansson, U., Löfström, T., Sönströd, C., Löfström, H. (2023). Conformal Prediction for Accuracy Guarantees in Classification with Reject Option. Springer
• Johansson, U., Sönströd, C., Löfström, T., Boström, H. (2023). Confidence Classifiers with Guaranteed Accuracy or Precision. Proceedings of Machine Learning Research (PMLR)
• Kebede, R., Moscati, A., Tan, H., Johansson, P. (2023). Circular economy in the built environment: a framework for implementing digital product passports with knowledge graphs. European Council on Computing in Construction
• Li, Z., Tan, H., Jarfors, A., Lattanzi, L., Jansson, P. (2023). Enhancing Rheocasting Process Control with AI-based Systems.
• Li, Z., Tan, H., Lattanzi, L., Jarfors, A., Jansson, P. (2023). On the possibility of replacing Scheil-Gulliver modelling with machine learning and neural network models.
• Löfström, T., Bondaletov, A., Ryasik, A., Boström, H., Johansson, U. (2023). Tutorial on using Conformal Predictive Systems in KNIME. Proceedings of Machine Learning Research (PMLR)
• Mossakowski, T., Hedblom, M., Neuhaus, F., Arboleda, S., Raake, A. (2023). Using the Diagrammatic Image Schema Language for Joint Human-Machine Cognition.
• Pettersson, T., Riveiro, M., Löfström, T. (2023). Explainable local and global models for fine-grained multimodal product recognition.
• Sadri, H., Yitmen, I., Tagliabue, L., Westphal, F. (2023). A Conceptual Framework For Blockchain and Ai-Driven Digital Twins For Predictive Operation and Maintenance. European Council on Computing in Construction (EC3)
• Sweidan, D., Johansson, U., Alenljung, B., Gidenstam, A. (2023). Improved Decision Support for Product Returns using Probabilistic Prediction. Institute of Electrical and Electronics Engineers (IEEE)
• Tiedemann, F., Sönströd, C., Löfström, T., Ohlson, N., Wikner, J., Johansson, U. (2023). Introducing Predictive Modelling in Industrial Organisations – Lessons Learned.
• Uddin, N., Löfström, T. (2023). Applications of Conformal Regression on Real-world Industrial Use Cases using Crepes and MAPIE. Proceedings of Machine Learning Research (PMLR)
• Alkhatib, A., Boström, H., Johansson, U. (2022). Assessing Explanation Quality by Venn Prediction. ML Research Press
• Dhanabalachandran, K., Hedblom, M., Beetz, M. (2022). Getting on top of things: Towards intelligent robotic object stacking through image-schematic reasoning. CEUR-WS
• Dhanabalachandran, K., Hedblom, M., Beetz, M. (2022). A balancing act: Ordering algorithm and image-schematic action descriptors for stacking objects by household robots. CEUR-WS
• Hedblom, M., Neuhaus, F. (2022). Visualising image schemas: A preliminary look at the Diagrammatic Image Schema Language (DISL). CEUR-WS
• Johansson, U., Boström, H., Nguyen, K., Luo, Z., Carlsson, L. (2022). Preface. ML Research Press
• Johansson, U., Löfström, T., Ståhl, N. (2022). Well-Calibrated Rule Extractors. ML Research Press
• Klotins, E., Peretz-Andersson, E. (2022). The unified perspective of digital transformation and continuous software engineering. IEEE
• Löfström, H., Hammar, K., Johansson, U. (2022). A meta survey of quality evaluation criteria in explanation methods. Cham: Springer
• Löfström, T., Ryasik, A., Johansson, U. (2022). Tutorial for using conformal prediction in KNIME. ML Research Press
• Pettersson, T., Oucheikh, R., Löfström, T. (2022). NLP Cross-Domain Recognition of Retail Products. New York: Association for Computing Machinery (ACM)
• Pomarlan, M., De Giorgis, S., Hedblom, M., Diab, M., Tsiogkas, N. (2022). Thinking in front of the box: Towards intelligent robotic action selection for navigation in complex environments using image-schematic reasoning. CEUR-WS
• Righetti, G., Porello, D., Troquard, N., Kutz, O., Hedblom, M., Galliani, P. (2022). Asymmetric Hybrids: Dialogues for Computational Concept Combination (Extended Abstract).
• Sattari, A., Johansson, U., Wilderoth, E., Jakupovic, J., Larsson-Green, P. (2022). The Interpretable Representation of Football Player Roles Based on Passing/Receiving Patterns. Springer
• Sweidan, D., Johansson, U., Gidenstam, A., Alenljung, B. (2022). Predicting Customer Churn in Retailing. Institute of Electrical and Electronics Engineers (IEEE)
• Aralikatte, R., Murrieta Bello, H., de Lhoneux, M., Hershcovich, D., Bollmann, M., Søgaard, A. (2021). How far can we get with one GPU in 100 hours? CoAStaL at MultiIndicMT Shared Task. Association for Computational Linguistics
• Arvidsson, S., Gabrielsson, P., Johansson, U. (2021). Texture Mapping of Flags onto Polandball Characters using Convolutional Neural Nets.
• Bollmann, M., Aralikatte, R., Murrieta Bello, H., Hershcovich, D., de Lhoneux, M., Søgaard, A. (2021). Moses and the Character-Based Random Babbling Baseline: CoAStaL at AmericasNLP 2021 Shared Task. Association for Computational Linguistics
• Boström, H., Johansson, U., Löfström, T. (2021). Mondrian conformal predictive distributions. PMLR
• Botteghi, N., Alaa, K., Poel, M., Sirmacek, B., Brune, C., Mersha, A., Stramigioli, S. (2021). Low Dimensional State Representation Learning with Robotics Priors in Continuous Action Spaces. Institute of Electrical and Electronics Engineers (IEEE)
• Dhanabalachandran, K., Hassouna, V., Hedblom, M., Kümpel, M., Leusmann, N., Beetz, M. (2021). Cutting Events: Towards Autonomous Plan Adaption by Robotic Agents through Image-Schematic Event Segmentation. ACM Digital Library
• Johansson, U., Bostrom, H., Löfström, T. (2021). Investigating Normalized Conformal Regressors. Institute of Electrical and Electronics Engineers (IEEE)
• Johansson, U., Löfström, T., Boström, H. (2021). Well-Calibrated and Sharp Interpretable Multi-Class Models. Springer Science and Business Media Deutschland GmbH
• Johansson, U., Löfström, T., Boström, H. (2021). Calibrating multi-class models. PMLR
• Oualil, S., Oucheikh, R., El Kamili, M., Berrada, I. (2021). Benchmarking Classical and AI-based Caching Strategies in Internet of Vehicles. IEEE
• Oucheikh, R., Fri, M., Fedouaki, F., Hain, M. (2021). Deep anomaly detector based on spatio-temporal clustering for connected autonomous vehicles. Springer
• Peretz-Andersson, E., Lavesson, N., Bifet, A., Mikalef, P. (2021). AI Transformation in the Public Sector: Ongoing Research. Institute of Electrical and Electronics Engineers (IEEE)
• Pomarlan, M., Hedblom, M., Porzel, R. (2021). Panta Rhei: Curiosity-Driven Exploration to Learn the Image-Schematic Affordances of Pouring Liquids. CEUR-WS
• Righetti, G., Porello, D., Troquard, N., Kutz, O., Hedblom, M., Galliani, P. (2021). Asymmetric Hybrids: Dialogues for Computational Concept Combination. IOS Press
• Shaw, C., de Andrade Pereira, F., Hoare, C., Hammar, K., McNally, C., O’Donnell, J. (2021). Digital Interoperability for the Facilities Management Domain: a Review of Semantic Web-based Approaches.
• Stenhager, E., Lavesson, N. (2021). Hit Detection in Sports Pistol Shooting. Institute of Electrical and Electronics Engineers (IEEE)
• Annavarjula, V., Mbiydzenyu, G., Riveiro, M., Lavesson, N. (2020). Implicit user data in fashion recommendation systems. World Scientific
• Botteghi, N., Kamilaris, A., Sinai, L., Sirmacek, B. (2020). Multi-Agent Path Planning of Robotic Swarms in Agricultural Fields. Copernicus GmbH
• Botteghi, N., Obbink, R., Geijs, D., Poel, M., Sirmacek, B., Brune, C. ... Stramigioli, S. (2020). Low dimensional state representation learning with reward-shaped priors. Institute of Electrical and Electronics Engineers (IEEE)
• Botteghi, N., Sirmacek, B., Schulte, R., Poel, M., Brune, C. (2020). Reinforcement learning helps slam: Learning to build maps. International Society for Photogrammetry and Remote Sensing
• Hammar, K. (2020). Linked Data Creation with ExcelRDF. Cham: Springer
• Hammar, K., Kutz, O., Dimou, A., Hahmann, T., Hoehndorf, R., Masolo, C., Vita, R. (2020). Preface. CEUR-WS
• Johansson, U., Löfström, T. (2020). Well-calibrated and specialized probability estimation trees. Society for Industrial and Applied Mathematics
• Oucheikh, R., Fri, M., Fedouaki, F., Hain, M. (2020). Deep real-time anomaly detection for connected autonomous vehicles. Elsevier
• Shimizu, C., Hammar, K., Hitzler, P. (2020). Modular graphical ontology engineering evaluated. Cham: Springer
• Sweidan, D., Johansson, U., Gidenstam, A. (2020). Predicting returns in men's fashion. Singapore: World Scientific
• Tan, H., Tarasov, V., Fourlakidis, V., Diószegi, A. (2020). Data-driven modeling of mechanical properties of cast iron using fuzzy logic. Amsterdam: IOS Press
• Westphal, F., Grahn, H., Lavesson, N. (2020). Representative image selection for data efficient word spotting. Springer
• Abghari, S., Boeva, V., Brage, J., Johansson, C., Grahn, H., Lavesson, N. (2019). Higher order mining for monitoring district heating substations. Institute of Electrical and Electronics Engineers (IEEE)
• Boström, H., Johansson, U., Vesterberg, A. (2019). Predicting with Confidence from Survival Data.
• García Martín, E., Lavesson, N., Grahn, H., Casalicchio, E., Boeva, V. (2019). How to Measure Energy Consumption in Machine Learning Algorithms.
• Giri, C., Johansson, U., Löfström, T. (2019). Predictive modeling of campaigns to quantify performance in fashion retail industry. IEEE
• Hammar, K., Wallin, E., Karlberg, P., Hälleberg, D. (2019). The RealEstateCore Ontology. Cham: Springer
• Johansson, U., Gabrielsson, P. (2019). Are Traditional Neural Networks Well-Calibrated?. IEEE
• Johansson, U., Löfström, T., Boström, H. (2019). Calibrating probability estimation trees using Venn-Abers predictors. Society for Industrial and Applied Mathematics
• Johansson, U., Löfström, T., Boström, H., Sönströd, C. (2019). Interpretable and Specialized Conformal Predictors.
• Johansson, U., Sonstrod, C., Löfström, T., Bostrom, H. (2019). Customized interpretable conformal regressors. Institute of Electrical and Electronics Engineers (IEEE)
• Shimizu, C., Hammar, K. (2019). CoModIDE – The Comprehensive Modular Ontology Engineering IDE. CEUR-WS
• Tan, H., Tarasov, V., Adlemo, A. (2019). Lessons Learned from an Application of Ontologies in Software Testing. CEUR-WS
• Tarasov, V., Seigerroth, U., Sandkuhl, K. (2019). Ontology development strategies in industrial contexts. Cham: Springer
• Tarasov, V., Seigerroth, U., Sandkuhl, K. (2019). Ontology Development Strategies in Industrial Contexts Workshops, Berlin, Germany, July 18-20, 2018, Revised Papers. Springer
• Tarasov, V., Tan, H., Adlemo, A. (2019). Automation of software testing process using ontologies. SciTePress
• Westphal, F., Lavesson, N., Grahn, H. (2019). A case for guided machine learning. Cham: Springer
• Westphal, F., Lavesson, N., Grahn, H. (2019). Learning character recognition with graph-based privileged information. IEEE
• Abghari, S., Boeva, V., Lavesson, N., Grahn, H., Gustafsson, J., Shaikh, J. (2018). Outlier Detection for Video Session Data Using Sequential Pattern Mining.
• Abghari, S., Boeva, V., Lavesson, N., Grahn, H., Ickin, S., Gustafsson, J. (2018). A Minimum Spanning Tree Clustering Approach for Outlier Detection in Event Sequences. IEEE
• Adlemo, A., Hilletofth, P., Tarasov, V. (2018). Fuzzy logic based decision-support for reshoring decisions.
• Adlemo, A., Tan, H., Tarasov, V. (2018). Test case quality as perceived in Sweden. ACM Digital Library
• Adlemo, A., Tarasov, V., Hilletofth, P., Eriksson, D. (2018). Reshoring decision support in a Swedish context.
• Adlemo, A., Tarasov, V., Hilletofth, P., Eriksson, D. (2018). Knowledge intensive decision support for reshoring decisions. Kolding
• Alirezaie, M., Hammar, K., Blomqvist, E., Nyström, M., Ivanova, V. (2018). SmartEnv Ontology in E-care@home. CEUR-WS
• Angelova, M., Vishnu Manasa, D., Boeva, V., Linde, P., Lavesson, N. (2018). An Expertise Recommender SystemBased on Data from an Institutional Repository (DiVA).
• Boeva, V., Angelova, M., Lavesson, N., Rosander, O., Tsiporkova, E. (2018). Evolutionary clustering techniques for expertise mining scenarios. SciTePress
• García Martín, E., Lavesson, N., Grahn, H., Casalicchio, E., Boeva, V. (2018). Hoeffding Trees with nmin adaptation. IEEE
• García Martín, E., Lavesson, N., Grahn, H., Casalicchio, E., Boeva, V. (2018). How to Measure Energy Consumption in Machine Learning Algorithms.
• Johansson, U., Löfström, T., Sundell, H. (2018). Venn predictors using lazy learners. CSREA Press
• Johansson, U., Löfström, T., Sundell, H., Linusson, H., Gidenstam, A., Boström, H. (2018). Venn predictors for well-calibrated probability estimation trees.
• Linusson, H., Johansson, U., Boström, H., Löfström, T. (2018). Classification with reject option using conformal prediction. Springer
• Löfström, T., Johansson, U., Balkow, J., Sundell, H. (2018). A data-driven approach to online fitting services. World Scientific
• Sundell, H., Löfström, T., Johansson, U. (2018). Explorative multi-objective optimization of marketing campaigns for the fashion retail industry. World Scientific
• Westphal, F., Grahn, H., Lavesson, N. (2018). User Feedback and Uncertainty in User Guided Binarization. IEEE Computer Society
• Westphal, F., Lavesson, N., Grahn, H. (2018). Document Image Binarization Using Recurrent Neural Networks.
• Abghari, S., García Martín, E., Johansson, C., Lavesson, N., Grahn, H. (2017). Trend analysis to automatically identify heat program changes. Elsevier
• Ahlberg, E., Winiwarter, S., Boström, H., Linusson, H., Löfström, T., Norinder, U. ... Carlsson, L. (2017). Using conformal prediction to prioritize compound synthesis in drug discovery. Machine Learning Research
• García Martín, E., Lavesson, N., Grahn, H. (2017). Identification of Energy Hotspots: A Case Study of the Very Fast Decision Tree. Cham, Switzerland: Springer
• García-Martín, E., Lavesson, N. (2017). Is it ethical to avoid error analysis?.
• Hammar, K., Hitzler, P., Krisnadhi, A., Ławrynowicz, A., Nuzzolese, A., Solanki, M. (2017). Preface. IOS Press
• Hammar, K., Presutti, V. (2017). Template-Based Content ODP Instantiation. IOS Press
• Johansson, C., Bergkvist, M., Geysen, D., De Somer, O., Lavesson, N., Vanhoudt, D. (2017). Operational Demand Forecasting In District Heating Systems Using Ensembles Of Online Machine Learning Algorithms. Elsevier
• Johansson, U., Linusson, H., Löfström, T., Boström, H. (2017). Model-agnostic nonconformity functions for conformal classification. IEEE
• Karima, N., Hammar, K., Hitzler, P. (2017). How to Document Ontology Design Patterns. IOS Press
• Kusetogullari, H., Grahn, H., Lavesson, N. (2017). Handwriting image enhancement using local learning windowing, Gaussian Mixture Model and k-means clustering. IEEE
• König, R., Johansson, U., Riveiro, M., Brattberg, P. (2017). Modeling golf player skill using machine learning. Springer
• Linusson, H., Norinder, U., Boström, H., Johansson, U., Löfström, T. (2017). On the calibration of aggregated conformal predictors. Machine Learning Research
• Tan, H., Adlemo, A., Tarasov, V., Johansson, M. (2017). Evaluation of an Application Ontology. CEUR-WS
• Resmini, A., Tan, H., Tarasov, V., Adlemo, A. (2016). #ViewFromTheOffice - Reconceptualizing the Workplace as an Information-based Ecosystem.
• Tan, H., Ismail, M., Tarasov, V., Adlemo, A., Johansson, M. (2016). Development and evaluation of a software requirements ontology. SciTePress
• Hammar, K. (2015). Ontology Design Patterns in WebProtégé. CEUR-WS
• Lantow, B., Sandkuhl, K., Tarasov, V. (2015). Ontology Reuse Engineering and Ontology Development. SciTePress
• Tan, H., Barakat, G., Tarasov, V. (2015). Translating XML Models into OWL Ontologies for Interoperability of Simulation Systems.
• Tan, H., Resmini, A., Tarasov, V., Adlemo, A. (2015). Workplace innovation in Swedish local organizations - technology aspect: BIS 2015 International Workshops, Poznań, Poland, June 24-26, 2015, Revised Papers.
• Tarasov, V., Tan, H., Adlemo, A., Ismail, M., Mats, J., Olsson, D. (2015). Ontology-based Software Test Case Generation (OSTAG). SciTePress
• Hammar, K. (2014). Ontology Design Pattern Property Specialisation Strategies. Berlin: Springer Berlin/Heidelberg
• Hammar, K. (2014). Ontology Design Patterns: Improving Findability and Composition. Berlin: Springer Berlin/Heidelberg
• Hammar, K. (2014). Ontology Design Patterns: Adoption Challenges and Solutions. EUR-WS
• Hammar, K. (2014). Reasoning Performance Indicators for Ontology Design Patterns. CEUR-WS
• Tan, H. (2014). A Method for Building FrameNet-like Corpus for the Biomedical Domain. Association for Computational Linguistics
• Lantow, B., Sandkuhl, K., Tarasov, V. (2013). Selecting Content Ontology Design Patterns for Ontology Quality Improvement. CEUR-WS
• Hammar, K. (2012). Ontology Design Patterns in Use: Lessons Learnt from an Ontology Engineering Case.
• Hammar, K. (2012). Modular Semantic CEP for Threat Detection. Mexico City: National Polytechnic Institute
• Krizhanovsky, A., Lin, F., Sandkuhl, K., Shilov, N., Smirnov, A., Tarasov, V. (2012). Logistics-as-a-service: ontology-based architecture and approach.
• Lin, F., Neshnega, L., Subba, B., Tarasov, V. (2012). A Framework for Context Automatic Integration in Ubiquitous Computing. IEEE
• Sandkuhl, K., Seigerroth, U., Tarasov, V. (2012). Context Modelling for Decision Making in Competence Supply: Experiences from a Military Case.
• Tarasov, V., Höglund, P., de Roos, P. (2012). Ontology-Based eService Enabling Collaboration of Researchers in Healthcare. International Information Management Corporation Limited
• Ali Fareedi, A., Tarasov, V. (2011). Modelling of the Ward Round Process in a Healthcare Unit. Springer Berlin/Heidelberg
• Hammar, K. (2011). DC Proposal: Towards an ODP Quality Model. Berlin: Springer
• Hammar, K. (2011). The State of Ontology Pattern Research. Riga, Latvia: Riga Technical University
• Khan, N., Carstensen, A., Sandkuhl, K., Tarasov, V. (2011). Transformation of Enterprise Model to Enterprise Ontology. Riga Technical University
• Tarasov, V., Krizhanovsky, A. (2011). Enrichment of Ontology-Based Competence Profiles with Semistructured Wiktionary Data. Riga Technical University
• Tarasov, V., Sandkuhl, K. (2011). On the Role of Competence Models for Business and IT Alignment in Network Organizations. Springer Berlin/Heidelberg
• Albertsen, T., Sandkuhl, K., Seigerroth, U., Tarasov, V. (2010). The Practice of Competence Modelling. Berlin: Springer
• Albertsen, T., Sandkuhl, K., Seigerroth, U., Tarasov, V. (2010). Modelling Network-based Defence: Success and Failure of an Enterprise Modelling Endeavour. Berlin: Springer
• Elgh, F. (2010). Towards an Integrated System Foundation for Quotation Preparation.
• Elgh, F. (2010). Knowledge Modelling and Analysis in Design Automation Systems for Product Configuration.
• Elgh, F. (2010). Supporting Management and Analysis of Quotations in a Design Automation Approach to Customization.
• Elgh, F., Cederfeldt, M. (2010). Documentation and Management of Product Knowledge in Systems for Automated Variant Design: A Case Study.
• Hammar, K., Sandkuhl, K. (2010). The State of Ontology Pattern Research: A Systematic Review of ISWC, ESWC and ASWC 2005–2009.
• Hammar, K., Tarasov, V., Lin, F. (2010). Information Reuse and Interoperability with Ontology Patterns and Linked Data: First Experiences from the ExpertFinder Project. Berlin: Springer
• Hugoson, M., Larsson, U., Tarasov, V. (2010). Interaction between Heterogeneous Autonomous Systems: Principles and Practice. Springer Berlin Heidelberg
• Raudberget, D. (2010). The Decision Process In Set-Based Concurrent Engineering - An Industrial Case Study.
• Raudberget, D., Sunnersjö, S. (2010). EXPERIENCES OF SET BASED CONCURRENT ENGINEERING IN FOUR PRODUCT DEVELOPING COMPANIES.
• Sandkuhl, K., Tarasov, V. (2010). Comparison of Approaches for Competence Demand Modeling in Flexible Supply Networks. St, Petersburg, Russia
• Stolt, R., Bengtsson, S., Michael, A. (2010). Using property profiles to support early PM component design.
• Sunnersjö, S. (2010).  A taxonomy of engineering knowledge for design automation.
• Hatami, S., Stolt, R., Nyborg, L. (2009). Optimized Selection of Processing Routes for Sintered Parts Manufacture: A Component-Oriented Approach. Princeton, N.J.: Metal Powder Industries Federation
• Johansson, J. (2009). Automatic Producibility Analysis of the Draw Bending of Aluminium Tubes with Several Bends. Glasgow: NAFEMS Ltd
• Johansson, J. (2009). Automated Manufacturability Analysis of the Draw Bending of Complex Aluminum Profiles.
• Levashova, T., Sandkuhl, K., Shilov, N., Smirnov, A., Tarasov, V. (2009). Product Design Network Self-Contextualization: Enterprise Knowledge-Based Approach and Agent-Based Technological Framework. Berlin: Springer
• Raudberget, D. (2009). Guidelines for cooperation between industry and academia in design projects.
• Sandkuhl, K., Smirnov, A., Mazalov, V., Vdovitsyn, V., Tarasov, V., Krizhanovsky, A. ... Ivashko, E. (2009). Context-Based Retrieval in Digital Libraries: Approach and Technological Framework. Petorzavodsk
• Sandkuhl, K., Tarasov, V. (2009). Modelling Competence Demand for Flexible Supply Networks. IFAC
• Stolt, R. (2009). Managing Product and Process Knowledge in CAD-Systems. Göteborg: Chalmers University of Technology
• Sunnersjö, S. (2009). An experimental study of aspects of engineering knowledge used in engineering design: A design automation perspective. Göteborg: Chalmers tekniska högskola
• Elgh, F. (2008). Enhancing the Efficiency and Accuracy in the Quotation Process of Turned Components.
• Johansson, J. (2008). Manufacturability Analysis Using Integrated KBE, CAD and FEM.
• Kashevnik, A., Sandkuhl, K., Shilov, N., Smirnov, A., Tarasov, V. (2008). Business Community Creation Based on Competence Management. Amsterdam: IOS Press
• Lundin, R., Cederfeldt, M. (2008). Product development-Production interface in a geographically dispersed setting.
• Raudberget, D., Cannmo, P. (2008). Learning product development through a design-build-test project: Why is coaching important?.
• Stolt, R. (2008). An Automated Design and Advisory System for Pressed-and-Sintered Powder Metallurgy Parts. Princeton, NJ, United States: MPIF
• Stolt, R. (2008). Identifying Features in Cad-Models for Powder Metallurgy Component Evaluation.
• Widfeldt, M., Elgh, F., Kilbo, P. (2008). An Improved Quotation Process within Manufacturing SMEs as Part of a Strategy for Growth. Stockholm: Swedish Production Academy
• Albertsen, T., Sandkuhl, K., Tarasov, V. (2007). Towards Competence Modeling and Competence Matching for Network-based Defense.
• Elgh, F. (2007). Modelling and Management of Manufacturing Requirements in Design Automated Systems. London: Springer
• Johansson, J. (2007). A flexible design automation system for toolsets for the rotary draw bending of aluminium tubes.
• Tarasov, V., Albertsen, T., Kashevnik, A., Sandkuhl, K., Shilov, N., Smirnov, A. (2007). Ontology-Based Competence Management for Team Configuration. Berlin: Springer
• Cederfeldt, M. (2006). Towards a Strategy for Mapping of Design Problems to Suitable Solutions: A Case of Design Automation Using CBR.
• Elgh, F., Cederfeldt, M. (2006). Producibility Awareness as a Base for Design Automation Development: Analysis and Synthesis Approach to Cost Estimation.
• Elgh, F., Sunnersjö, S. (2006). Ontology Based Management of Designer's Guidelines for Motorcar Manufacture. Jönköping: Department of Computer & Electrical Engineering, School of Engineering
• Johansson, J., Sunnersjö, S. (2006). Automated design of rotary draw bending tools: an approach based on generic CAD-models driven by heuristic and algorithmic knowledge.
• Sandkuhl, K., Lundqvist, M., Tarasov, V. (2006). COMPETENCE MODEL FOR COLLABORATIVE DESIGN.
• Stolt, R. (2006). Reusing CAD-models of Die-cast products for FEA.
• Tarasov, V., Sandkuhl, K., Henoch, B. (2006). Using Ontologies for Representation of Individual and Enterprise Competence Models. Piscataway, NJ.: IEEE Operations Center
• Blomqvist, E., Levashova, T., Öhgren, A., Sandkuhl, K., Smirnov, A., Tarasov, V. (2005). Configuration of Dynamic SME Supply Chains Based on Ontologies. Springer Berlin/Heidelberg
• Cederfeldt, M., Elgh, F. (2005). Design Automation Systems in SMEs: Current State, Potential, Need and Requirements.
• Elgh, F., Cederfeldt, M. (2005). A Design Automation System Supporting Design for Cost: Underlying Method, System Applicability and User Experiences. New York: International Society for Productivity Enhancement
• Stolt, R. (2005). A CAD-integrated system for automated idealization of CAD-models for finite element analysis.
• Stolt, R., Sunnersjö, S. (2005). Automatic preparation of CAD-generated solid geometry for FE-meshing.
• Cederfeldt, M. (2004). Variant Design Automation: Strategy and Procedure for Storing Design Process Information.
• Elgh, F. (2004). A Generic Framework for Automated Cost Evaluation of Product Variants and Fabrication Plants.
• Cederfeldt, M., Sunnersjö, S. (2003). Solid Modelling with Dimensional and Topological Variability. Glasgow: The Design Society
• Elgh, F., Sunnersjö, S. (2003). An Automatic Cost Estimating System for Variant Design Based on the Method of Successive Calculus. Glasgow: The Design Society
• Rask, I., Amen, R., Sunnersjö, S. (2003). Designer's Pilot: Introducing a Knowledge System for DFM. Loughborough: Loughborough University
• Tarasov, V., Tarasov, V. (2003). Designing tools for testing with open-ended questions using Java technology. Joensuu: University of Joensuu
• Tarasov, V., Tarasov, V., Kyurshunov, A. (2003). Using XML and the IMS QTI standard for the development of assessment tools. Joensuu: University of Joensuu
• Tarasov, V. (2000). Multi-agent system architecture for supporting the process of distance learning. Joensuu: University of Joensuu
• Tarasov, V., Tarasov, V. (2000). Designing answer selection tests in JavaScript. Joensuu: University of Joensuu
• Mazalov, V., Vdovitsyn, V., Tarasov, V. (1999). Negotiation on data reallocation in distributed information systems. St. Petersburg
• Vdovitsyn, V., Tarasov, V. (1999). Multi-agent system for informational support of collaborative researchers work in a computer network. Petrozavodsk: Petrozavodsk State University
• Tarasov, V. (1998). Applying intelligent agent technology to create instruction programs. Petrozavodsk: Petrozavodsk State University
• Tarasov, V. (1998). Using intelligent agent technology for the development of a system teaching how to search for function limits. Joensuu: University of Joensuu
• Tarasov, V. (1997). Using explicit representation of inference search metarules for inference search control in expert systems. St. Petersburg
• Vdovitsyn, V., Tarasov, V. (1996). Applying KBS-technology to a pulp-and-paper mill control automation. Petrozavodsk

Licentiatavhandling

• Hammar, K. (2013). Towards an Ontology Design Pattern Quality Model. Linköping: Linköping University Electronic Press
• Johansson, J. (2008). Design Automation Systems for Production Preparation: Applied on the Rotary Draw Bending Process. Göteborg: Chalmers
• Elgh, F. (2006). Automated Cost Estimation of Product Variants: A Tool for Enhanced Producibility. Göteborg: Chalmers University of Technology
• Stolt, R. (2006). From CAD to FEA: A design automation perspective. Göteborg: Chalmers Tekniska Högskola
• Cederfeldt, M. (2005). Planning Design Automation Systems: Criteria and Guidelines. Göteborg: Chalmers tekniska högskola

Proceedings (redaktörskap)

• Westphal, F., Peretz-Andersson, E., Riveiro, M., Bach, K., Heintz, F. (2024). 14th Scandinavian Conference on Artificial Intelligence, SCAI 2024: June 10-11, 2024, Jönköping, Sweden. Linköping: Linköping University Electronic Press
• Aussenac-Gilles, N., Hahmann, T., Galton, A., Hedblom, M. (2023). Formal ontology in information systems: Proceedings of the 13th International Conference (FOIS 2023). Amsterdam: IOS Press
• Hedblom, M., Kutz, O. (2023). ISD7 2023, The Seventh Image Schema Day: Proceedings of the Seventh Image Schema Day, co-located with The 20th International Conference on Principles of Knowledge Representation and Reasoning (KR 2023). CEUR-WS
• Hedblom, M., Kantosalo, A., Confalonieri, R., Kutz, O., Veale, T. (2022). Proceedings of the 13th International Conference on Computational Creativity. Association for Computational Creativity (ACC)
• Hedblom, M., Kutz, O. (2022). ISD6 2022: The Sixth Image Schema Day 2022. CEUR-WS
• Sales, T., Hedblom, M., Tan, H. (2022). Proceedings of the Joint Ontology Workshops 2022, Episode VIII: The Svear Sommar of Ontology. CEUR-WS
• Hammar, K., Shimizu, C., McGinty, H., Asprino, L., Carriero, V. (2021). WOP 2021: Workshop on Ontology Design and Patterns 2021: Proceedings of the 12th Workshop on Ontology Design and Patterns (WOP 2021) co-located with the 20th International Semantic Web Conference (ISWC 2021), online, October 24, 2021. CEUR-WP
• Hammar, K., Kutz, O., Dimou, A., Hahmann, T., Hoehndorf, R., Masolo, C., Vita, R. (2020). JOWO 2020: The Joint Ontology Workshops: Proceedings of the Joint Ontology Workshops co-located with the Bolzano Summer of Knowledge (BOSK 2020). CEUR-WS
• Hitzler, P., Fernández, M., Janowicz, K., Zaveri, A., Gray, A., Lopez, V. ... Hammar, K. (2019). The Semantic Web: 16th International Conference, ESWC 2019, Portorož, Slovenia, June 2–6, 2019, Proceedings. Cham: Springer
• Janowicz, K., Krisnadhi, A., Poveda Villalón, M., Hammar, K., Shimizu, C. (2019). WOP 2019: Workshop on Ontology Design and Patterns 2019: Proceedings of the 10th Workshop on Ontology Design and Patterns (WOP 2019), co-located with 18th International Semantic Web Conference (ISWC 2019), Auckland, New Zealand, October 27, 2019. CEUR-WP
• Skjæveland, M., Hu, Y., Hammar, K., Svátek, V., Ławrynowicz, A. (2018). WOP 2018: Workshop on Ontology Design and Patterns. CEUR Workshop Proceedings
• Hammar, K., Hitzler, P., Krisnadhi, A., Ławrynowicz, A., Nuzzolese, A., Solanki, M. (2017). Advances in Ontology Design and Patterns. IOS Press
• Gangemi, A., Gruninger, M., Hammar, K., Lefort, L., Presutti, V., Scherp, A. (2014). Proceedings of the 4th Workshop on Ontology and Semantic Web Patterns. CEUR-WS
• Hammar, K., García-Crespo, A., Gómez Berbís, J., Radzimski, M., Sánchez Cervantes, J., Coppens, S. ... Vander Sande, M. (2014). WaSABi-FEOSW 2014: Joint Proceedings of WaSABi 2014 and FEOSW 2014. CEUR-WS
• Coppens, S., Hammar, K., Knuth, M., Neumann, M., Ritze, D., Sack, H., Vander Sande, M. (2013). WaSABi 2013: Semantic Web Enterprise Adoption and Best Practice: Proceedings of the Workshop on Semantic Web Enterprise Adoption and Best Practice Co-located with 12th International Semantic Web Conference (ISWC 2013), Sydney, Australia, October 22, 2013. CEUR-WS
• Blomqvist, E., Gangemi, A., Hammar, K., Suárez-Figueroa, M. (2012). WOP 2012: Proceedings of the 3rd Workshop on Ontology Patterns. CEUR-WS

Rapport

• Löfström, T., Ralsmark, H., Johansson, U. (2021). Collusion in algorithmic pricing. Stockholm: Konkurrensverket
• Sandkuhl, K., Tarasov, V., Mazalov, V., Smirnov, A. (2012). Context based Retrieval in Digital Libraries: Continuing PhD Education and Experimentation (CoReLib2): Final project report. Jönköping: Jönköping University, School of Engineering
• Albertsen, T., Seigerroth, U., Sandkuhl, K., Tarasov, V. (2009). Competence demand modeling: case study. Jönköping University: Jönköping University
• Albertsen, T., Tarasov, V., Sandkuhl, K., Seigerroth, U. (2009). Competence modeling and matching: frame concept. Jönköping University: Jönköping University
• Albertsen, T., Tarasov, V., Sandkuhl, K., Seigerroth, U. (2009). Modellering av 312. luftburna kompaniet: KOMO - Projektrapport. Jönköping University
• Sandkuhl, K., Tarasov, V., Albertsen, T., Seigerroth, U. (2009). Competence demand modeling based on enterprise models: KOMO - project report. Jönköping University: Jönköping University
• Sandkuhl, K., Tarasov, V., Mazalov, V., Smirnov, A. (2009). Context based Retrieval in Digital Libraries (CoReLib): Final project report. Jönköping: School of Engineering at Jönköping University
• Sandkuhl, K., Henoch, B., Le Hieu, H., Hugoson, M., Larsson, U., Tarasov, V. (2007). ICT-Support for Formation of Business Relationships with Developing Countries Based on Immigrant Competence. Phase 2: Integrating Competence Models into Chamber Trade: Final project report. Jönköping: Jönköping University
• Stolt, R. (2006). A sectioning method for constructing the mid-surface of thin-walled die-cast and injection moulded parts. Jönköping: Ingenjörshögskolan
• Sandkuhl, K., Hao, D., Henoch, B., Hugoson, M., Larsson, U., Roren, H., Tarasov, V. (2005). ICT-Support for Formation of Business Relationships with Developing Countries Based on Immigrant Competence. Pilot Study Vietnam: Final project report. Jönköping: Jönköping University

Samlingsvolym (redaktörskap)

• Blomqvist, E., Hahmann, T., Hammar, K., Hitzler, P., Hoekstra, R., Mutharaju, R. ... Zhou, L. (2021). Advances in Pattern-Based Ontology Engineering. Amsterdam: IOS Press