Anzaku, E. T., Mohammed, M. A., Ozbulak, U., Won, J., Hong, H., Krishnamoorthy, J., Van Hoecke, S., Magez, S., Van Messem, A., & De Neve, W. (18 October 2023). Tryp: a dataset of microscopy images of unstained thick blood smears for trypanosome detection. Scientific Data, 10 (1), 716. doi:10.1038/s41597-023-02608-y |
Harandi, N.* , Vandenberghe, B.* , Vankerschaver, J., Depuydt, S.* , & Van Messem, A.*. (23 June 2023). How to make sense of 3D representations for plant phenotyping: a compendium of processing and analysis techniques. Plant Methods, 19 (1), 60. doi:10.1186/s13007-023-01031-z * These authors have contributed equally to this work. |
Ozbulak, U., Lee, H. J., Boga, B., Anzaku, E. T., Park, H., Van Messem, A., De Neve, W., & Vankerschaver, J. (2023). Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training. Transactions on Machine Learning Research. |
Park, H.-M., Won, J., Park, Y., Anzaku, E. T., Vankerschaver, J., Van Messem, A., De Neve, W., & Shim, H. (25 April 2023). CRISPR-Cas-Docker: web-based in silico docking and machine learning-based classification of crRNAs with Cas proteins. BMC Bioinformatics, 24 (1), 167. doi:10.1186/s12859-023-05296-y |
Park, H.-M., Park, Y., Berani, U., Bang, E., Vankerschaver, J., Van Messem, A., De Neve, W., & Shim, H. (07 October 2022). In silico optimization of RNA-protein interactions for CRISPR-Cas13-based antimicrobials. Biology Direct, 17 (1), 27. doi:10.1186/s13062-022-00339-5 |
Park, H.-M.* , Park, S.* , de Guzman, M. K.* , Baek, J. Y., Cirkovic Velickovic, T., Van Messem, A.* , & De Neve, W.*. (15 June 2022). MP-Net: Deep learning-based segmentation for fluorescence microscopy images of microplastics isolated from clams. PLoS ONE, 17 (6), 0269449. doi:10.1371/journal.pone.0269449 * These authors have contributed equally to this work. |
Park, H.-M., Park, Y., Vankerschaver, J., Van Messem, A., De Neve, W., & Shim, H. (04 March 2022). Rethinking Protein Drug Design with Highly Accurate Structure Prediction of Anti-CRISPR Proteins. Pharmaceuticals, 15 (3), 310. doi:10.3390/ph15030310 |
Gasparyan, M., Van Messem, A., & Rao, S. (2020). An Automated Model Reduction Method for Biochemical Reaction Networks. Symmetry, 12 (8), 1321. doi:10.3390/sym12081321 |
Christmann, A., & Van Messem, A. (2008). Bouligand Derivatives and Robustness of Support Vector Machines for Regression. Journal of Machine Learning Research, 9, 915-936. |
Baum, C., Cevallos-Valdiviezo, H., & Van Messem, A. (18 October 2023). Robustness under missing data: a comparison with special attention to inference [Paper presentation]. XX Jornadas en Estadística, Guayaquil, Ecuador. |
Van Messem, A. (26 March 2021). Adversarial examples - some insights [Paper presentation]. UCL Applied Statistics Workshop. |
Van Messem, A., & Christmann, A. (28 May 2010). Consistency and Robustness Properties of Support Vector Machines for Heavy-Tailed Distributions [Paper presentation]. VUB PhD Day, Brussel, Belgium. |
Park, H.-M., Kim, G., Van Messem, A., & De Neve, W. (2023). MuSe-Personalization 2023: Feature Engineering, Hyperparameter Optimization, and Transformer-Encoder Re-discovery. In MuSe '23: Proceedings of the 4th Multimodal Sentiment Analysis Challenge and Workshop: Mimicked Emotions, Humour and Personalisation. New York, United States - New York: Association for Computing Machinery. doi:10.1145/3606039.3613104 |
Anzaku, E. T., Van Messem, A., & De Neve, W. (10 May 2024). Leveraging Human-Machine Interactions for Computer Vision Dataset Quality Enhancement [Poster presentation]. IGC Research Showcase 2024, South Korea. |
Kabanga, E., Yun, S., Van Messem, A., & De Neve, W. (10 May 2024). Impact of U2-Type Introns on Splice Site Prediction in Arabidopsis Thaliana Using Deep Learning [Poster presentation]. IGC Research Showcase 2024, South Korea. |
Park, H.-M., Yun, I., Kim, M., Nguyen, K. T., Van Messem, A., & De Neve, W. (10 May 2024). Using CAMscore and SHAP for Interpretable Rotator Cuff Tear Diagnosis in MRI Slides [Poster presentation]. IGC Research Showcase 2024, South Korea. |
Park, H.-M., Yun, I., Kim, M., Nguyen, K. T., Van Messem, A., & De Neve, W. (19 February 2024). Interpretable Rotator Cuff Tear Diagnosis using MRI slides with CAMscore and SHAP [Poster presentation]. SPIE Medical Imaging 2024, San Diego, United States. |
Van Messem, A. (12 December 2023). Statistical power and related biases [Paper presentation]. Statistics Workshop for Zoologists: Analytical Insights and Practical Applications, Belgium. |
Anzaku, E. T., Hong, H., Park, J.-W., Yang, W., Kim, K., Won, J., Kumari Herath, D. V., Van Messem, A., & De Neve, W. (November 2023). Leveraging Human-Machine Interactions for Computer Vision Dataset Quality Enhancement [Paper presentation]. 15th International Conference on Intelligent Human-Computer Interaction (IHCI 2023), Daegu, South Korea. |
Park, H.-M., Kim, G., Van Messem, A., & De Neve, W. (29 October 2023). MuSe-Personalization 2023: Feature Engineering, Hyperparameter Optimization, and Transformer-Encoder Rediscovery [Paper presentation]. The 4th Multimodal Sentiment Analysis Challenge and Workshop: Mimicked Emotions, Co-author Humour and Personalisation (MuSe 2023), Ottawa, Canada. |
Baum, C., Cevallos-Valdiviezo, H., & Van Messem, A. (19 October 2023). Robustness under missing data: a comparison with special attention to inference [Paper presentation]. 30th Annual Meeting of the Royal Statistical Society of Belgium, Louvain-la-Neuve, Belgium. |
Kabanga, E., Van Messem, A., & De Neve, W. (September 2023). Towards Interpretable Multitask Learning for Splice Site and Translation Initiation Site Prediction [Paper presentation]. 18th Conference on Computational Intelligence Methods for Bioinformatics & Biostatistics (CIBB 2023), Padova, Italy. |
Baum, C., & Van Messem, A. (25 May 2023). Robustness under missing data: a comparison with special attention to inference [Paper presentation]. ICORS2023 : International Conference on Robust Statistics - 2023, Toulouse, France. |
Anzaku, E. T., Van Messem, A., & De Neve, W. (22 May 2023). If an image is worth a thousand words, why describe it with a single word? [Poster presentation]. IGC Research Showcase 2023, Incheon, South Korea. |
Harandi, N., De Neve, W., Van Messem, A., & Vankerschaver, J. (22 May 2023). Exploring the Power of Evolutionary Computation Algorithms in AutoML [Poster presentation]. IGC Research Showcase 2023, Incheon, South Korea. |
Kabanga, E., Van Messem, A., & De Neve, W. (22 May 2023). Towards Interpretable MultiTask Learning for Splice Site and Translation Initiation Site Prediction [Poster presentation]. IGC Research Showcase 2023, Incheon, South Korea. |
Park, H.-M., Kabanga, E., Moon, D., Chung, M., Kim, Y., Im, J., Van Messem, A., & De Neve, W. (22 May 2023). Discovering Biomarker Proteins and Peptides for Parkinson's Disease with Machine Learning and Interpretability Methods [Poster presentation]. IGC Research Showcase 2023, Incheon, South Korea. |
Baum, C., Van Messem, A., & Cevallos-Valdiviezo, H. (2023). Robustness under missing data: a comparison with special attention to inference [Paper presentation]. 25th International Conference on Computational Statistics (COMPSTAT 2023), London, United Kingdom. |
Kabanga, E., Van Messem, A., & De Neve, W. (2023). Towards Interpretable Multitask Learning for Splice Site and Translation Initiation Site Prediction [Paper presentation]. 18th Conference on Computational Intelligence Methods for Bioinformatics & Biostatistics (CIBB 2023), Padova, Italy. doi:10.1101/2023.10.16.562631 |
Shim, H., Park, H.-M., Park, Y., Berani, U., Bang, E., Vankerschaver, J., Van Messem, A., & De Neve, W. (01 November 2022). In Silico Experiments for CRISPR-based Antimicrobials [Paper presentation]. International Meeting of the Microbiological Society of Korea (MSK 2022), Jeju, South Korea. |
Baum, C., & Van Messem, A. (21 October 2022). Robustness under missing data [Poster presentation]. 29th Annual Meeting of the Royal Statistical Society of Belgium. |
Baum, C., & Van Messem, A. (13 May 2022). Robustness under missing data [Poster presentation]. PhD Day 2022, Liège, Belgium. |
Park, H.-M., Park, Y., Berani, U., Bang, E., Vankerschaver, J., Van Messem, A., De Neve, W., & Shim, H. (2022). In Silico Experiments for CRISPR-based Antimicrobials [Paper presentation]. International Meeting of the Microbiological Society of Korea (MSK 2022), Jeju, South Korea. |
Ozbulak, U., Pintor, M., Van Messem, A., & De Neve, W. (13 December 2021). Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes [Poster presentation]. 35th Conference on Neural Information Processing Systems (NeurIPS 2021): Workshop on ImageNet: Past, Present, and Future. |
Ozbulak, U., Anzaku, E. T., De Neve, W., & Van Messem, A. (22 November 2021). Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks [Paper presentation]. The 32nd British Machine Vision Conference (BMVC 2021). |
Park, Y., Kabanga, E., Zuallaert, J., Shim, H., Van Messem, A., & De Neve, W. (July 2021). Translation Initiation Site Prediction Using Deep Learning and Synthetic Datasets [Poster presentation]. Intelligent Systems for Molecular Biology (ISMB 2021). Special Session on Representation Learning in Biology (RLB). |
Kang, H., Park, H.-M., Ahn, Y., Van Messem, A., & De Neve, W. (February 2021). Towards a Quantitative Analysis of Class Activation Mapping for Deep Learning-based Computer-Aided Diagnosis [Paper presentation]. SPIE Medical Imaging 2021, San Diego, United States. |
Baek, J. Y., de Guzman, M. K., Park, H.-M., Park, S., Shin, B., Cirkovic Velickovic, T., Van Messem, A., & De Neve, W. (January 2021). Developing a Segmentation Model for Microscopic Images of Microplastics Isolated from Clams [Paper presentation]. 25th International Conference on Pattern Recognition (ICPR2020): Workshop on Machine Learning Advances Environmental Science (MAES), Milan, Italy. |
Ozbulak, U., Anzaku, E. T., De Neve, W., & Van Messem, A. (2021). Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks [Paper presentation]. The 32nd British Machine Vision Conference (BMCV 2021). |
Ozbulak, U., Pintor, M., Van Messem, A., & De Neve, W. (2021). Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes [Paper presentation]. 35th Conference on Neural Information Processing Systems (NeurIPS 2021): Workshop on ImageNet: Past, Present, and Future. |
Park, H.-M., Kang, B., Van Messem, A., & De Neve, W. (January 2021). 3-D Deep Learning-based Item Classification for Belt Conveyors Targeting Packaging and Logistics [Paper presentation]. 25th International Conference on Pattern Recognition (ICPR2020): 1st International Workshop on Industrial Machine Learning (IML), Milan, Italy. |
Jung, T., Anzaku, E. T., Ozbulak, U., Magez, S., Van Messem, A., & De Neve, W. (November 2020). Automatic Detection of Trypanosomosis in Thick Blood Smears Using Image Pre-processing and Deep Learning [Paper presentation]. 12th International Conference on Intelligent Human Computer Interaction (IHCI 2020), Daegu, South Korea. |
Park, H.-M., Van Messem, A., & De Neve, W. (April 2020). Item measurement for belt conveyor systems using a scenario-driven approach and automata-based control design [Paper presentation]. 7th International Conference on Industrial Engineering and Applications (ICIEA 2020), Bangkok, Thailand. |
Ozbulak, U., Peck, J., De Neve, W., Goossens, B., Saeys, Y., & Van Messem, A. (2020). Regional Image Perturbation Reduces $L_p$ Norms of Adversarial Examples While Maintaining Model-to-model Transferability [Paper presentation]. 37th International Conference on Machine Learning: Workshop on Uncertainty & Robustness in Deep Learning (ICML UDL 2020), Vienna, Austria. |
Ozbulak, U., Van Messem, A., & De Neve, W. (October 2019). Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation [Poster presentation]. 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI2019), Shenzen, China. |
Ozbulak, U., Van Messem, A., & De Neve, W. (July 2019). Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation [Poster presentation]. International Computer Vision Summer School (ICVSS), Sicily, Italy. |
Park, H.-M., & Van Messem, A. (March 2019). Box-Scan: an efficient and effective algorithm for box dimension measurement in conveyor systems using a single RGB-D camera [Paper presentation]. 7th IIAE International Conference on Industrial Application Engineering 2019 (ICIAE), Kitakyushu, Japan. |
Ozbulak, U., Van Messem, A., & De Neve, W. (2019). Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding [Poster presentation]. 2019 International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary. |
Ozbulak, U., De Neve, W., & Van Messem, A. (December 2018). How the softmax output is misleading for evaluating the strength of adversarial examples [Poster presentation]. 32nd Conference on Neural Information Processing Systems (NeurIPS): Workshop on Security in Machine Learning (SECML), Montréal, Canada. |
Gasparyan, M., Van Messem, A., & Rao, S. (August 2018). A novel technique for model reduction of biochemical reaction networks [Poster presentation]. 7th IFAC Conference on Foundations of Systems Biology in Engineering (FOSBE), Chicago, United States. |
Van Messem, A., & Christmann, A. (October 2009). On Consistency and Robustness Properties of Support Vector Machines for Heavy-Tailed Distributions [Paper presentation]. Second Workshop of the ERCIM Working Group on Computing and Statistics, Limassol, Cyprus. |
Van Messem, A., & Christmann, A. (October 2009). Consistency and Robustness Properties of SVMs for Heavy-Tailed Distributions [Paper presentation]. 17th Annual Meeting of the Belgian Statistical Society, Lommel, Belgium. |
Van Messem, A., & Christmann, A. (June 2009). On Robustness Properties of Support Vector Machines for Heavy-Tailed Distributions [Paper presentation]. International Conference on Robust Statistics (ICORS), Parma, Italy. |
Van Messem, A., & Christmann, A. (November 2008). On Robustness Properties of Support Vector Machines Based on General Loss Functions [Paper presentation]. International Workshop on Flexible Modelling: Smoothing and Robustness (FMSR), Leuven, Belgium. |
Van Messem, A., & Christmann, A. (July 2008). The Bouligand Influence Function: Checking Robustness of Support Vector Machines [Paper presentation]. 7th World Congress in Probability and Statistics, Singapore, Singapore. |
Van Messem, A., & Christmann, A. (March 2008). Robustness of Support Vector Machines: the Bouligand Influence Function [Paper presentation]. 8th German Open Conference on Probability and Statistics (GOCPS), Aachen, Germany. |
Van Messem, A., & Christmann, A. (October 2007). The Bouligand influence function and its application for SVMs [Paper presentation]. 15th Annual Meeting of the Belgian Statistical Society, Antwerp, Belgium. |
Van Messem, A., & Christmann, A. (September 2007). Bouligand Derivatives and Robustness of Support Vector Machines [Paper presentation]. Robust and Nonparametric Statistical Inference (Workshop), Hejnice, Czechia. |
Van Messem, A., & Christmann, A. (May 2007). Bouligand Derivatives and Robustness of Support Vector Machines [Paper presentation]. Radon Conference on Financial and Actuarial Mathematics (FAYR), Linz, Austria. |
Van Messem, A. (October 2006). Learning with Support Vector Machines [Poster presentation]. 14th Annual Meeting of the Belgian Statistical Society, Houffalize, Belgium. |
Anzaku, E. T., Hong, H., Park, J.-W., Yang, W., Kim, K., Won, J., Herath, D. V. K., Van Messem, A., & De Neve, W. (2024). Leveraging Human-Machine Interactions for Computer Vision Dataset Quality Enhancement. In Intelligent Human Computer Interaction (pp. 295–309). Springer Nature Switzerland. doi:10.1007/978-3-031-53827-8_27 |
Van Messem, A. (2011). Robustness and Consistency Results for Support Vector Machines [Doctoral thesis, VUB - Vrije Universiteit Brussel]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/264221 |