41 Publikationer
Artikel (refereegranskat)
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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
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Hedblom, M., Neuhaus, F., Mossakowski, T. (2024). The Diagrammatic Image Schema Language (DISL).
Spatial Cognition and Computation
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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).
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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).
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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
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Löfström, H., Löfström, T., Johansson, U., Sönströd, C. (2024). Calibrated explanations: With uncertainty information and counterfactuals.
Expert systems with applications
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McShane, S., Norinder, U., Alvarsson, J., Ahlberg, E., Carlsson, L., Spjuth, O. (2024). CPSign - Conformal Prediction for Cheminformatics Modeling.
Journal of Cheminformatics 16(1),
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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
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Pettersson, T., Riveiro, M., Löfström, T. (2024). Multimodal fine-grained grocery product recognition using image and OCR text.
Machine Vision and Applications 35(4),
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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
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Johansson, U., Löfström, T., Boström, H. (2023). Conformal Predictive Distribution Trees.
Annals of Mathematics and Artificial Intelligence
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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),
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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
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Pomarlan, M., Hedblom, M., Porzel, R. (2023). Curiously exploring affordance spaces of a pouring task.
Expert systems (Print) 40(6),
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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
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Shimizu, C., Hammar, K., Hitzler, P. (2023). Modular ontology modeling.
Semantic Web 14(3), 459-489
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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
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Johansson, U., Sönströd, C., Löfström, T., Boström, H. (2022). Rule extraction with guarantees from regression models.
Pattern Recognition
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Kebede, R., Moscati, A., Tan, H., Johansson, P. (2022). Integration of manufacturers' product data in BIM platforms using semantic web technologies.
Automation in Construction
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Peretz-Andersson, E., Torkar, R. (2022). Empirical AI Transformation Research: A Systematic Mapping Study and Future Agenda.
e-Informatica Software Engineering Journal 16(1),
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Ståhl, N., Weimann, L. (2022). Identifying wetland areas in historical maps using deep convolutional neural networks.
Ecological Informatics
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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
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García-Martín, E., Bifet, A., Lavesson, N. (2021). Energy modeling of Hoeffding tree ensembles.
Intelligent Data Analysis 25(1), 81-104
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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
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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
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Oucheikh, R., Löfström, T., Ahlberg, E., Carlsson, L. (2021). Rolling cargo management using a deep reinforcement learning approach.
Logistics 5(1),
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Oucheikh, R., Pettersson, T., Löfström, T. (2021). Product verification using OCR classification and Mondrian conformal prediction.
Expert systems with applications
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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
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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
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Linusson, H., Johansson, U., Boström, H. (2020). Efficient conformal predictor ensembles.
Neurocomputing (pp. 266-278).
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Sirmacek, B., Riveiro, M. (2020). Occupancy prediction using low-cost and low-resolution heat sensors for smart offices.
Sensors 20(19),
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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
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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
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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).
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Johansson, U., Löfström, T., Linusson, H., Boström, H. (2019). Efficient Venn Predictors using Random Forests.
Machine Learning 108(3), 535-550
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Tan, H., Tarasov, V., Jarfors, A., Seifeddine, S. (2019). Fuzzy Logic Based Modelling of Cast Component Properties.
IFAC-PapersOnLine 52(13), 1132-1137
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Alirezaie, M., Hammar, K., Blomqvist, E. (2018). SmartEnv as a Network of Ontology Patterns.
Semantic Web 9(6), 903-918
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Johansson, U., Linusson, H., Löfström, T., Boström, H. (2018). Interpretable regression trees using conformal prediction.
Expert systems with applications (pp. 394-404).
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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),
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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
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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