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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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.
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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.
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Allheeib, Nasser; Kanwal, Summrina; Alamri, Sultan (2023). An Intelligent Heart Disease Prediction Framework Using Machine Learning and Deep Learning Techniques. International Journal of Data Warehousing and Mining, 19 (1), pp. 1 - 24.
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Shahbazi, Zeinab; Nowaczyk, Sławomir (2023). Enhancing Energy Efficiency in Connected Vehicles for Traffic Flow Optimization. Smart Cities, 6 (5), pp. 2574 - 2592.
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Busch, Christoph; Deravi, Farzin; Frings, Dinusha; Alonso-Fernandez, Fernando; Bigun, Josef (2023). Facilitating free travel in the Schengen area—A position paper by the European Association for Biometrics. IET Biometrics, 12 (2), pp. 112 - 128.
- 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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Alonso-Fernandez, Fernando; Hernandez-Diaz, Kevin; Buades, Jose M.; Raja, Kiran; Bigun, Josef (2026). Exploring Complementarity and Explainability in CNNs for Periocular Verification Across Acquisition Distances. 24th International Conference of the Biometrics Special Interest Group, BIOSIG.
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Alonso-Fernandez, Fernando; Hernandez-Diaz, Kevin; Buades Rubio, Jose M.; Bigun, Josef (2026). Leveraging Large-Scale Face Datasets for Deep Periocular Recognition via Ocular Cropping. IX International Workshop on Artificial Intelligence and Pattern Recognition, IWAIPR.
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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. IX International Congress on Artificial Intelligence and Pattern Recognition IWAIPR 2025, Varadero, Cuba, October 14 - 17, 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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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.
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Chen, Kunru; Rögnvaldsson, Thorsteinn; Nowaczyk, Sławomir; Pashami, Sepideh; Klang, Jonas; Sternelov, Gustav (2023). Toward Solving Domain Adaptation with Limited Source Labeled Data. 23rd IEEE International Conference on Data Mining Workshops (ICDMW 2023), Shanghai, China, 1-4 December, 2023.
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Alonso-Fernandez, Fernando; Hernandez-Diaz, Kevin; Buades, Jose M.; Tiwari, Prayag; Bigun, Josef (2023). An Explainable Model-Agnostic Algorithm for CNN-Based Biometrics Verification. 2023 IEEE International Workshop on Information Forensics and Security, WIFS 2023, Nürnberg, Germany, 4-7 December, 2023.
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Taghiyarrenani, Zahra; Nowaczyk, Sławomir; Pashami, Sepideh (2023). Analysis of Statistical Data Heterogeneity in Federated Fault Identification. 4th Asia Pacific Conference of the Prognostics and Health Management, Tokyo, Japan, September 11-14, 2023.
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Alabdallah, Abdallah; Rögnvaldsson, Thorsteinn; Fan, Yuantao; Pashami, Sepideh; Ohlsson, Mattias (2023). Discovering Premature Replacements in Predictive Maintenance Time-to-Event Data. 4th Asia Pacific Conference of the Prognostics and Health Management, Tokyo, Japan, September 11-14, 2023.
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Berenji, Amirhossein; Nowaczyk, Sławomir; Taghiyarrenani, Zahra (2023). Data-Centric Perspective on Explainability Versus Performance Trade-Off. 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12–14, 2023.
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Rajabi, Enayat; Kafaie, Somayeh (2023). Building a Disease Knowledge Graph. 33rd Medical Informatics Europe Conference: Caring is Sharing - Exploiting the Value in Data for Health and Innovation, MIE2023, Gothenburg, 22-25 May, 2023, Code 189285.
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Abuella, Mohamed; Atoui, M. Amine; Nowaczyk, Sławomir; Johansson, Simon; Faghani, Ethan (2023). Data-Driven Explainable Artificial Intelligence for Energy Efficiency in Short-Sea Shipping. European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023.
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Sarmadi, Hamid; Rögnvaldsson, Thorsteinn; Carlsson, Nils Roger; Ohlsson, Mattias; Wahab, Ibrahim; Hall, Ola (2023). Towards Explaining Satellite Based Poverty Predictions with Convolutional Neural Networks. 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA), Thessaloniki, Greece, 9-13 October, 2023.
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Arvidsson, Moa; Sawirot, Sithichot; Englund, Cristofer; Alonso-Fernandez, Fernando; Torstensson, Martin; Duran, Boris (2023). Drone navigation and license place detection for vehicle location in indoor spaces. 8th International Congress on Artificial Intelligence and Pattern Recognition, IWAIPR 2023, 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. .
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(2023). CAISR : Center for Applied Intelligent Systems Research: Annual Report 2022. , Halmstad. 63 pp. .
Contact
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Deputy Vice-Chancellor with specific responsibility for research and doctoral education