Publications CAISR
The 50 latest publications by CAISR researchers registered in DiVA, which is Halmstad University on-line academic archive for scientific publishing, sorted after type of publication.
- Article in journal
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Buono, Vincenzo; Sheikholharam Mashhadi, Peyman; Rahat, Mahmoud; Tiwari, Prayag; Byttner, Stefan (2026). Not All CAMs Are Complete : Completeness as the Key to Faithfulness. Transactions on Machine Learning Research, 5, pp. 1 - 52.
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Aharonson, Vered; Christodoulou, Vasiliki; Karpasitis, Christos; Joselowitz, Jared; Nowaczyk, Sławomir; Lazebnik, Teddy; Iordanou, Kalypso (2026). Audience engagement with climate change content on YouTube : an analysis of video attributes and user interactions. Frontiers In Climate, 8, pp. 1 - 10.
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Raisuddin, Abu Mohammed; Holmblad, Jesper; Haghighi, Hamed; Poledna, Yuri; Drechsler, Maikol Funk; Donzella, Valentina; Aksoy, Eren (2026). REHEARSE-3D : A Multi-Modal Emulated Rain Dataset for 3D Point Cloud De-Raining. Sensors, 26 (2).
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Alonso-Fernandez, Fernando; Butt, Talha Hanif; Tiwari, Prayag (2026). Overtake detection in trucks using CAN bus signals : a comparative study of machine learning methods. Expert systems with applications, 297.
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Alabdallah, Abdallah; Hamed, Omar; Ohlsson, Mattias; Rögnvaldsson, Thorsteinn; Pashami, Sepideh (2026). CoxSE : Exploring the potential of self-explaining neural networks with Cox proportional hazards model for survival analysis. Knowledge-Based Systems, 333, pp. 1 - 13.
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Galozy, Alexander; Nowaczyk, Sławomir; Ohlsson, Mattias (2025). A new bandit setting balancing information from state evolution and corrupted context. Data mining and knowledge discovery, 39 (1).
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Gunasekara, Nuwan; Pfahringer, Bernhard; Gomes, Heitor Murilo; Bifet, Albert (2025). Gradient boosted bagging for evolving data stream regression. Data mining and knowledge discovery, 39 (5), pp. 1 - 37.
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Nguyen, Kien; Proença, Hugo; Alonso-Fernandez, Fernando (2024). Deep Learning for Iris Recognition : A Survey. ACM Computing Surveys, 56 (9).
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Abuella, Mohamed; Atoui, M. Amine; Nowaczyk, Sławomir; Johansson, Simon; Faghani, Ethan (2024). Spatial Clustering Approach for Vessel Path Identification. IEEE Access, 12, pp. 66248 - 66258.
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Inceoglu, Arda; Aksoy, Eren; Sariel, Sanem (2024). Multimodal Detection and Classification of Robot Manipulation Failures. IEEE Robotics and Automation Letters, 9 (2), pp. 1396 - 1403.
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Vettoruzzo, Anna; Bouguelia, Mohamed-Rafik; Rögnvaldsson, Thorsteinn (2024). Multimodal meta-learning through meta-learned task representations. Neural Computing & Applications, 36 (15), pp. 8519 - 8529.
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Lou, Chuyue; Atoui, M. Amine (2024). Unknown Health States Recognition with Collective-Decision-Based Deep Learning Networks in Predictive Maintenance Applications. Mathematics, 12 (1).
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Lou, Chuyue; Atoui, M. Amine; Li, Xiangshun (2024). Recent deep learning models for diagnosis and health monitoring : a review of researches and future challenges. Transactions of the Institute of Measurement and Control, 46 (14), pp. 2833 - 2870.
- Chapter in book
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(2024). Message from Kurt Tutschku and Slawomir Nowaczyk, FMEC Chairs. 2024 9th International Conference on Fog and Mobile Edge Computing (FMEC). Institute of Electrical and Electronics Engineers (IEEE), Piscataway. Pp. ii - ii.
- Conference paper
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Fan, Yuantao; Wang, Zhenkan; Pashami, Sepideh; Nowaczyk, Sławomir; Ydreskog, Henrik (2026). Forecasting Auxiliary Energy Consumption for Electric Heavy-Duty Vehicles. 24th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2024, Vilnius, Lithuania, 9-13 September, 2024.
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Starck, Hugo; Tran, Ngoc Anh Kiet David; Nowaczyk, Sławomir (2026). Deep Decision Forest. 24th International Symposium on Intelligent Data Analysis, IDA 2026, Leiden, The Netherlands, April 22–24, 2026.
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Fukuhara, So; Alabdallah, Abdallah; Gunasekara, Nuwan; Nowaczyk, Sławomir (2026). Bridging Forecast Accuracy and Inventory KPIs. 24th International Symposium on Intelligent Data Analysis, IDA 2026 Leiden, The Netherlands, April 22-24, 2026.
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Rögnvaldsson, Thorsteinn; Taghiyarrenani, Zahra; Ogura, Koki; Ekstrand, Joel; Chen, Kunru; Izci, Tugce (2026). Forklift activity classification across multiple sites, using onboard CAN data and time-series models. 2026 IEEE 24th International Conference on Industrial Informatics (INDIN 2026), Melbourne, Australia, 26-29 July 2026.
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Gama, Fábio; Ramos, Manoella Antonieta; Svedberg, Petra; Nygren, Jens M.; Guirado, Vinicius; Soliman, Amira; Mello, Alexandre (2026). Responsible Innovation in Artificial Intelligence. IPDMC - Innovation and Product Development Management Conference.
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Norrby, Hugo; Färm, Gabriel; Hernandez-Diaz, Kevin; Alonso-Fernandez, Fernando (2026). FGSSNet: Feature-Guided Semantic Segmentation of Real World Floorplans. 9th International Congress, IWAIPR: International Congress on Artificial Intelligence and Pattern Recognition, 2025, October 14–17, 2025, Varadero, Cuba.
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Jankowska, Jelizaveta; Kostek, Bożena; Alonso-Fernandez, Fernando; Tiwari, Prayag (2026). Exploring the correlation between the type of music and the emotions evoked. 9th International Congress, IWAIPR: International Congress on Artificial Intelligence and Pattern Recognition, October 14–17, 2025, Varadero, Cuba.
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Alonso-Fernandez, Fernando; Hernandez-Diaz, Kevin; Buades Rubio, Jose Maria; Bigun, Josef (2026). Leveraging Large-Scale Face Datasets for Deep Periocular Recognition via Ocular Cropping. 9th International Workshop on Artificial Intelligence and Pattern Recognition (IWAIPR 2025), Veradero, Cuba, October 14-17, 2025.
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Fan, Yuantao; Camacho, Carlos; Pashami, Sepideh; Nowaczyk, Sławomir (2025). Causal Graph-Based Anomaly Detection for Battery Modules in Electric Heavy-Duty Vehicles. PHM Society Asia-Pacific Conference,Singapore, Singapore, December 8-11, 2025.
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Karlsson, Oliver; Von Hacht, Wilhelm; Rahat, Mahmoud; Fan, Yuantao; Pettersson, Magnus (2025). Suicide Prediction among Older Adults in Sweden using Survival Analysis and Sequential Machine Learning Models. First International Conference on AI in Medicine and Healthcare (AiMH' 2025), Innsbruck, Austria, 8-10 April, 2025.
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Raisuddin, Abu Mohammed; Gouigah, Idriss; Aksoy, Eren (2025). 3D-UnOutDet. 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hangzhou, China, 19-25 October, 2025.
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Ayed, Ines; Alcover, Gabriel Moyà; Alonso-Fernandez, Fernando; Jaume-i-Capó, Antoni (2025). Beyond Static Bias. NeurIPS 2025, Workshop on Reliable ML from Unreliable Data, San Diego, USA, 2nd - 7th december, 2025.
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Cooney, Martin; Ponrajan, Sivadinesh; Alonso-Fernandez, Fernando (2025). Nano Drone-based Indoor Crime Scene Analysis*. 2025 IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO), Osaka, Japan, 17-19 July, 2025.
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Adeel, Zafar; Ashraf, Sohail; Nowaczyk, Sławomir (2025). From Courtroom to Corpora. The International Conference on Recent Advances in Natural Language Processing (RANLP), Varna, Bulgaria 8–10 September, 2025.
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Sun, Yibin; Gomes, Heitor Murilo; Lee, Anton; Gunasekara, Nuwan; Weigert Cassales, Guilherme; Liu, Jia Justin; Heyden, Marco; Cerqueira, Vitor; Bahri, Maroua; Koh, Yun Sing; Pfahringer, Bernhard; Bifet, Albert (2025). Machine Learning for Data Streams with CapyMOA. European Conference, ECML PKDD 2025 Porto, Portugal, September 15–19, 2025.
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Alonso-Fernandez, Fernando; Hernandez-Diaz, Kevin; Buades, Jose M.; Raja, Kiran; Bigun, Josef (2025). Exploring Complementarity and Explainability in CNNs for Periocular Verification Across Acquisition Distances. 24th International Conference of the Biometrics Special Interest Group, BIOSIG, Darmstadt, Germany, 25-26 September, 2025.
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Özen, Canberk; Nowaczyk, Sławomir; Tiwari, Prayag; Pashami, Sepideh (2025). Assessing the Graph Structure Learning in Graph Deviation Networks. 23rd International Symposium on Intelligent Data Analysis, IDA 2025, Konstanz, Germany, 7-9 May, 2025.
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Gunasekara, Nuwan; Nowaczyk, Sławomir; Pashami, Sepideh (2025). Pragmatic Paradigm for Multi-stream Regression. 23rd International Symposium on Intelligent Data Analysis, IDA 2025, Konstanz, Germany, May 7–9, 2025.
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Gomes, Heitor Murilo; Gunasekara, Nuwan; Sun, Yibin (2025). Machine Learning on the Fly. 2025 IEEE 41st International Conference on Data Engineering, Hong Kong, China, 19–23 May, 2025.
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Shahbazi, Zeinab; Nowaczyk, Sławomir (2025). Health Data Security Using PRI. 12th KES International Conference on Innovation in Medicine and Healthcare-KES-InMed, Madeira, Portugal, June 19-21, 2024.
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Liang, Guojun; Tiwari, Prayag; Nowaczyk, Sławomir; Byttner, Stefan (2024). Higher-order Spatio-temporal Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation. CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management, Boise, ID, USA, October 21-25, 2024.
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Rajan, Shilpa; Rajabi, Enayat; Khoshkangini, Reza (2024). Knowledge Graphs Applications in Smart Cities. ICISDM 2024: the 8th International Conference on Information System and Data Mining, Los Angeles, CA, USA, June 24-26, 2024.
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Alonso-Fernandez, Fernando; Hernandez-Diaz, Kevin; Tiwari, Prayag; Bigun, Josef (2024). Combined CNN and ViT features off-the-shelf. 16th IEEE International Workshop on Information Forensics and Security, WIFS 2024, Rome, Italy, December 2-5, 2024.
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Altarabichi, Mohammed Ghaith; Nowaczyk, Sławomir; Pashami, Sepideh; Sheikholharam Mashhadi, Peyman; Handl, Julia (2024). A Review of Randomness Techniques in Deep Neural Networks. 2024 Genetic and Evolutionary Computation Conference Companion, GECCO 2024 Companion, Melbourne, VIC, Australia, 14-18 July, 2024.
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Budu, Emmanuella; Soliman, Amira; Rögnvaldsson, Thorsteinn; Etminani, Farzaneh (2024). Evaluating Temporal Fidelity in Synthetic Time-series Electronic Health Records. 2nd IEEE Conference on Artificial Intelligence, CAI 2024, Singapore, Singapore, 25-27 June, 2024.
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Kanwal, Summrina; Nowaczyk, Sławomir; Rahat, Mahmoud; Lundström, Jens; Khan, Faiza (2024). Deep Learning for Generating Synthetic Traffic Data. 9th International Congress on Information and Communication Technology, ICICT 2024, London, United Kingdom, 19-22 February, 2024.
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Jamshidi, Parisa; Nowaczyk, Sławomir; Rahat, Mahmoud (2024). Analysis of characteristic functions on Shapley values in Machine Learning. 20th International Conference on Intelligent Environments, IE 2024, Ljubljana, Slovenia, 17-20 June, 2024.
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Raisuddin, Abu Mohammed; Cortinhal, Tiago; Holmblad, Jesper; Aksoy, Eren Erdal (2024). 3D-OutDet. 35th IEEE Intelligent Vehicles Symposium, IV 2024, Jeju Island, South Korea, 2-5 June, 2024.
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Tzelepis, Georgies; Aksoy, Eren; Borras, Julia; Alenyà, Guillem (2024). Semantic State Estimation in Robot Cloth Manipulations Using Domain Adaptation from Human Demonstrations. 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2024, Rome, Italy, 27-29 February, 2024.
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Vettoruzzo, Anna; Bouguelia, Mohamed-Rafik; Rögnvaldsson, Thorsteinn (2024). Personalized Federated Learning with Contextual Modulation and Meta-Learning. SIAM International Conference on Data Mining (SDM), Houston, USA, April 18-20, 2024.
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Chen, Kunru; Klang, Jonas; Zeitler, Erik (2024). From Publication to Production. 2024 IEEE International Conference on Industrial Technology (ICIT 2024), Bristol, United Kingdom, 25-27 March, 2024.
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Jamshidi, Parisa; Nowaczyk, Sławomir; Rahat, Mahmoud (2024). EcoShap. International Workshops of the 26th European Conference on Artificial Intelligence (ECAI 2023), Kraków, Poland, 30 September-4 October, 2023.
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Bobek, Szymon; Nowaczyk, Sławomir; Pashami, Sepideh; Taghiyarrenani, Zahra; Nalepa, Grzegorz J. (2024). Towards Explainable Deep Domain Adaptation. European Conference on Artificial Intelligence (ECAI 2023), Kraków, Poland, September 30 - October 4, 2023.
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Alonso-Fernandez, Fernando; Hernandez-Diaz, Kevin; Buades Rubio, Jose Maria; Bigun, Josef (2024). SqueezerFaceNet. VIII International Workshop on Artificial Intelligence and Pattern Recognition, IWAIPR, Varadero, Cuba, September 27-29, 2023.
- Doctoral thesis, comprehensive summary
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Chen, Kunru; (2024). Learning Representations for Forklift Activity Recognition. Diss. (comprehensive summary). Halmstad : Halmstad University Press, 2024.
- Other
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(2024). CAISR : Center for Applied Intelligent Systems Research: Annual Report 2023. , Halmstad. 63 pp. .
Contact
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Deputy Vice-Chancellor with specific responsibility for research and doctoral education