Pattern Recognition and Bioinformatics

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  • 2025

    Federated K-Means Clustering

    Garst, S. & Reinders, M., 2025, Pattern Recognition - 27th International Conference, ICPR 2024, Proceedings. Antonacopoulos, A., Chaudhuri, S., Chellappa, R., Liu, C-L., Bhattacharya, S. & Pal, U. (eds.). Springer, p. 107-122 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15302 LNCS).

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  • Intensity Inhomogeneity Correction for Large Panoramic Electron Microscopy Images

    Dzyubachyk, O., Koster, A. J. & Lelieveldt, B. P. F., 2025, Medical Optical Imaging and Virtual Microscopy Image Analysis - Second International Workshop, MOVI 2024, Held in Conjunction with MICCAI 2024, Proceedings. Huo, Y., Millis, B. A., Zhou, Y., Younis, K., Wang, X. & Tang, Y. (eds.). Springer, p. 45-54 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15371 LNCS).

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  • MSD: A Benchmark Dataset for Floor Plan Generation of Building Complexes

    van Engelenburg, C., Mostafavi, F., Kuhn, E., Jeon, Y., Franzen, M., Standfest, M., van Gemert, J. & Khademi, S., 2025, Computer Vision – ECCV 2024: 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part LVIII. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Cham: Springer, p. 60-75 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15116 LNCS).

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  • Technologies Supporting Self-Reflection on Social Interactions: A Systematic Review

    Hao, C., Matej Hrkalovic, T., Balliet, D., Hung, H. & Dudzik, B., 2025, IUI 2025 - Proceedings of the 2025 International Conference on Intelligent User Interfaces. Li, T., Paternò, F., Väänänen, K., Leiva, L., Spano, D. & Verbert, K. (eds.). ACM, p. 1354-1365 12 p.

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  • 2024

    3D Kinematics Estimation from Video with a Biomechanical Model and Synthetic Training Data

    Lin, Z. Y., Lyu, B., Fernandez, J. C., Van Der Kruk, E., Seth, A. & Zhang, X., 2024, Proceedings of the 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024. IEEE, p. 1441-1450 10 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).

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  • Contrast-Agnostic Groupwise Registration by Robust PCA for Quantitative Cardiac MRI

    Li, X., Zhang, Y., Zhao, Y., van Gemert, J. & Tao, Q., 2024, Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers - 14th International Workshop, STACOM 2023, Held in Conjunction with MICCAI 2023, Revised Selected Papers. Camara, O., Puyol-Antón, E., Suinesiaputra, A., Young, A., Sermesant, M., Tao, Q. & Wang, C. (eds.). Springer, p. 77-87 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14507 LNCS).

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  • Learning from Scenarios for Repairable Stochastic Scheduling

    van den Houten, K., Tax, D. M. J., Freydell, E. & de Weerdt, M., 2024, Integration of Constraint Programming, Artificial Intelligence, and Operations Research - 21st International Conference, CPAIOR 2024, Proceedings. Dilkina, B. (ed.). Springer, p. 234-242 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14743 LNCS).

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  • Maven Unzipped: Exploring the Impact of Library Packaging on the Ecosystem

    Keshani, M., Bot, G., Rungta, P., Izadi, M., van Deursen, A. & Proksch, S., 2024, 2024 IEEE International Conference on Software Maintenance and Evolution (ICSME). IEEE, p. 50-62 13 p.

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  • Modelling Social Intentions in Complex Conversational Setings

    Kondyurin, I., 2024, ICMI 2024 - Proceedings of the 26th International Conference on Multimodal Interaction. ACM, p. 622-626 5 p. (ACM International Conference Proceeding Series).

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  • PATE: Proximity-Aware Time Series Anomaly Evaluation

    Ghorbani, R., Reinders, M. J. T. & Tax, D. M. J., 2024, KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York, NY: ACM, p. 872-883 12 p.

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  • RESTAD: Reconstruction and Similarity Based Transformer for Time Series Anomaly Detection

    Ghorbani, R., Reinders, M. J. T. & Tax, D. M. J., 2024, Proceedings of the 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP). Danvers: IEEE, 6 p.

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  • The Discontent with Intent Estimation In-the-Wild: The Case for Unrealized Intentions

    Hung, H., Li, L., Molhoek, J. & Zhou, J., 2024, CHI EA '24: Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems. Mueller, F. F., Kyburz, P., Williamson, J. R. & Sas, C. (eds.). New York, NY: ACM, 9 p. 565

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  • The Growing Strawberries Dataset: Tracking Multiple Objects with Biological Development over an Extended Period

    Wen, J., Verschoor, C. R., Feng, C., Epure, I. M., Abeel, T. & De Weerdt, M., 2024, Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024. IEEE, p. 7089-7099 11 p. (Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024).

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  • The OpenVIMO Platform: A Tutorial on Building and Managing Large-scale Online Experiments involving Videoconferencing

    Dudzik, B. & Vargas-Quiros, J., 2024, ICMI Companion 2024 - Companion Publication of the 26th International Conference on Multimodal Interaction. ACM, p. 72-74 3 p. (ACM International Conference Proceeding Series).

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  • Towards Automatic Social Involvement Estimation

    Li, Z., 2024, ICMI 2024 - Proceedings of the 26th International Conference on Multimodal Interaction. ACM, p. 612-616 5 p. (ACM International Conference Proceeding Series).

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  • 2023

    Analyzing Components of a Transformer under Different Dataset Scales in 3D Prostate CT Segmentation

    Tan, Y., Mody, P., van der Valk, V., Staring, M. & van Gemert, J., 2023, Medical Imaging 2023: Image Processing. Colliot, O. & Isgum, I. (eds.). SPIE, 13 p. 1246408. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12464).

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  • Are current long-term video understanding datasets long-term?

    Strafforello, O., Schutte, K. & van Gemert, J., 2023, Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). Ceballos, C. (ed.). Piscataway: IEEE, p. 2959-2968 10 p.

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  • A step towards understanding why classification helps regression

    Pintea, S. L., Lin, Y., Dijkstra, J. & van Gemert, J. C., 2023, Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision (ICCV). Ceballos, C. (ed.). Piscataway: IEEE, p. 19915-19924 10 p. (Proceedings of the IEEE International Conference on Computer Vision).

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  • A View on Model Misspecification in Uncertainty Quantification

    Kato, Y., Tax, D. M. J. & Loog, M., 2023, Artificial Intelligence and Machine Learning - 34th Joint Benelux Conference, BNAIC/Benelearn 2022, Revised Selected Papers. Calders, T., Goethals, B., Vens, C. & Lijffijt, J. (eds.). Springer, p. 65-77 13 p. (Communications in Computer and Information Science; vol. 1805 CCIS).

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  • Benchmarking Data Efficiency and Computational Efficiency of Temporal Action Localization Models

    Warchocki, J., Oprescu, T., Wang, Y., Dămăcuș, A., Misterka, P. M., Bruintjes, R., Lengyel, A., Strafforello, O. & van Gemert, J. C., 2023, Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops. p. 3008-3016 9 p.

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  • Color Equivariant Convolutional Networks

    Lengyel, A., Strafforello, O., Bruintjes, R., Gielisse, A. S. & van Gemert, J. C., 2023, 37th Conference on Neural Information Processing Systems. 20 p.

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  • Differentiable Transportation Pruning

    Li, Y., van Gemert, J. C., Hoefler, T., Moons, B., Eleftheriou, E. & Verhoef, B-E., 2023, Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision (ICCV). Ceballos, C. (ed.). Piscataway: IEEE, p. 16911-16921 11 p. (Proceedings of the IEEE International Conference on Computer Vision).

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  • EFE: End-to-end Frame-to-Gaze Estimation

    Balim, H., Park, S., Wang, X., Zhang, X. & Hilliges, O., 2023, Proceedings of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). O’Conner, L. (ed.). Piscataway: IEEE, p. 2688-2697 10 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; vol. 2023-June).

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  • Explaining Two Strange Learning Curves

    Chen, Z., Loog, M. & Krijthe, J. H., 2023, Artificial Intelligence and Machine Learning - 34th Joint Benelux Conference, BNAIC/Benelearn 2022, Revised Selected Papers. Calders, T., Goethals, B., Vens, C. & Lijffijt, J. (eds.). Springer, p. 16-30 15 p. (Communications in Computer and Information Science; vol. 1805 CCIS).

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  • GazeNeRF: 3D-Aware Gaze Redirection with Neural Radiance Fields

    Ruzzi, A., Shi, X., Wang, X., Li, G., De Mello, S., Chang, H. J., Zhang, X. & Hilliges, O., 2023, Proceedings of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). O'Conner, L. (ed.). Piscataway: IEEE, p. 9676-9685 10 p.

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  • Interactions for Seamlessly Coupled Exploration of High-Dimensional Images and Hierarchical Embeddings

    Vieth, A., Lelieveldt, B., Eisemann, E., Vilanova, A. & Höllt, T., 2023, Vision, Modeling, and Visualization. Guthe, M. & Grosch, T. (eds.). The Eurographics Association, p. 63-70 8 p.

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  • Is there progress in activity progress prediction?

    de Boer, F., van Gemert, J. C., Dijkstra, J. & Pintea, S. L., 2023, Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). Ceballos, C. (ed.). Piscataway: IEEE, p. 2950-2958 9 p.

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  • LAB: Learnable Activation Binarizer for Binary Neural Networks

    Falkena, S., Jamali-Rad, H. & van Gemert, J., 2023, Proceedings of the 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). O’Conner, L. (ed.). Piscataway: IEEE, p. 6414-6423 10 p.

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  • LCDB 1.0: An Extensive Learning Curves Database for Classification Tasks

    Mohr, F., Viering, T. J., Loog, M. & van Rijn, J. N., 2023, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Proceedings. Amini, M-R., Canu, S., Fischer, A., Guns, T., Kralj Novak, P. & Tsoumakas, G. (eds.). Springer, p. 3-19 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13717 LNAI).

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  • Local Implicit Neural Representations for Multi-Sequence MRI Translation

    Chen, Y., Staring, M., Wolterink, J. M. & Tao, Q., 2023, 2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023. IEEE, 5 p. (Proceedings - International Symposium on Biomedical Imaging; vol. 2023-April).

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  • Mesh-Tension Driven Expression-Based Wrinkles for Synthetic Faces

    Raman, C., Hewitt, C., Wood, E. & Baltrusaitis, T., 2023, Proceedings of the 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). O’Conner, L. (ed.). Piscataway: IEEE, p. 3504-3514 11 p.

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  • Non-Destructive Infield Quality Estimation of Strawberries using Deep Architectures

    Jol, C., Wen, J. & van Gemert, J., 2023, Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). Ceballos, C. (ed.). Piscataway: IEEE, p. 515-524 10 p.

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  • Objects do not disappear: Video object detection by single-frame object location anticipation

    Liu, X., van Gemert, J. C., Nejadasl, F. K., Booij, O. & Pintea, S. L., 2023, Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision (ICCV). Ceballos, C. (ed.). Piscataway: IEEE, p. 6927-6938 12 p. (Proceedings of the IEEE International Conference on Computer Vision).

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  • Percolate: An Exponential Family JIVE Model to Design DNA-Based Predictors of Drug Response

    Mourragui, S. M. C., Loog, M., van Nee, M., de Wiel, M. A. V., Reinders, M. J. T. & Wessels, L. F. A., 2023, Research in Computational Molecular Biology - 27th Annual International Conference, RECOMB 2023, Proceedings. Tang, H. (ed.). Springer, p. 120-138 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13976 LNBI).

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  • Rolling-Horizon Simulation Optimization For A Multi-Objective Biomanufacturing Scheduling Problem

    Van Den Houten, K., De Weerdt, M., Tax, D. M. J., Freydell, E., Christoupoulou, E. & Nati, A., 2023, Proceedings of the 2023 Winter Simulation Conference (WSC). IEEE, p. 1912-1923 12 p. (Proceedings - Winter Simulation Conference).

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  • Self-Attention Message Passing for Contrastive Few-Shot Learning

    Shirekar, O. K., Singh, A. & Jamali-Rad, H., 2023, Proceedings of the 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). O’Conner, L. (ed.). Piscataway: IEEE, p. 5415-5425 11 p.

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  • Self-Supervised PPG Representation Learning Shows High Inter-Subject Variability

    Ghorbani, R., Reinders, M. J. T. & Tax, D. M. J., 2023, ICMLT 2023 - Proceedings of 2023 8th International Conference on Machine Learning Technologies. ACM, p. 127-132 6 p. (ACM International Conference Proceeding Series).

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  • Social Processes: Self-supervised Meta-learning Over Conversational Groups for Forecasting Nonverbal Social Cues

    Raman, C., Hung, H. & Loog, M., 2023, Computer Vision – ECCV 2022 Workshops, Proceedings. Karlinsky, L., Michaeli, T. & Nishino, K. (eds.). Springer, p. 639-659 21 p. (Lecture Notes in Computer Science; vol. 13803 LNCS).

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  • SSIG: A Visually-Guided Graph Edit Distance for Floor Plan Similarity

    Engelenburg, C. V., Khademi, S. & Gemert, J. V., 2023, Proceedings - 2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023. IEEE, p. 1565-1574 10 p. (Proceedings - 2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023).

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  • The 5th Workshop on Modeling Socio-Emotional and Cognitive Processes from Multimodal Data in the Wild (MSECP-Wild)

    Dudzik, B., Hrkalovic, T. M., Küster, D., St-Onge, D., Putze, F. & Devillers, L., 2023, ICMI 2023 - Proceedings of the 25th International Conference on Multimodal Interaction. ACM, p. 828-829 2 p. (ACM International Conference Proceeding Series).

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  • Using and Abusing Equivariance

    Edixhoven, T. F., Lengyel, A. & van Gemert, J. C., 2023, Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops. p. 119-128 10 p.

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  • Video BagNet: Short temporal receptive fields increase robustness in long-term action recognition

    Strafforello, O., Liu, X., Schutte, K. & van Gemert, J., 2023, Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). Ceballos, C. (ed.). Piscataway: IEEE, p. 159-166 8 p.

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  • What Affects Learned Equivariance in Deep Image Recognition Models?

    Bruintjes, R-J., Motyka, T. & Gemert, J. V., 2023, Proceedings of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). O’Conner, L. (ed.). Piscataway: IEEE, p. 4839-4847 9 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; vol. 2023-June).

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  • 2022

    AmsterTime: A Visual Place Recognition Benchmark Dataset for Severe Domain Shift

    Yildiz, B., Khademi, S., Siebes, R. M. & Van Gemert, J., 2022, 2022 26th International Conference on Pattern Recognition, ICPR 2022. IEEE, p. 2749-2755 7 p. (Proceedings - International Conference on Pattern Recognition; vol. 2022-August).

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    2 Citations (Scopus)
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  • Conversation Group Detection With Spatio-Temporal Context

    Tan, S., Tax, D. M. J. & Hung, H., 2022, ICMI 2022 - Proceedings of the 2022 International Conference on Multimodal Interaction. ACM, p. 170-180 11 p. (ACM International Conference Proceeding Series).

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  • Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene Segmentation

    Zeng, L., Lengyel, A., Tömen, N. & van Gemert, J. C., 2022, 33rd British Machine Vision Conference 2022, {BMVC} 2022, London, UK, November 21-24, 2022. BMVA Press, 18 p.

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  • Deep Vanishing Point Detection: Geometric priors make dataset variations vanish

    Lin, Y., Wiersma, R., Pintea, S. L., Hildebrandt, K., Eisemann, E. & van Gemert, J. C., 2022, Proceedings of the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). O'Conner, L. (ed.). Piscataway: IEEE, p. 6093-6103 11 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2022-June).

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  • Designing Hybrid Intelligence Techniques for Facilitating Collaboration Informed by Social Science

    Matej Hrkalovic, T., 2022, ICMI 2022 - Proceedings of the 2022 International Conference on Multimodal Interaction. ACM, p. 679-684 6 p. (ACM International Conference Proceeding Series).

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  • Effects of Social Behaviours in Online Video Games on Team Trust

    van Rhenen, J-W., Centeio Jorge, C., Matej Hrkalovic, T. & Dudzik, B., 2022, CHI PLAY 2022 - Extended Abstracts of the 2022 Annual Symposium on Computer-Human Interaction in Play. Gerling, K., Iacovides, J. & Malaka, R. (eds.). New York: ACM, p. 159-165 7 p.

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  • Enhancing Classifier Conservativeness and Robustness by Polynomiality

    Wang, Z. & Loog, M., 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. IEEE, p. 13317-13326 10 p.

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