Van Messem Arnout

Département de mathématique > Statistique applquée aux sciences

Mathematics

See author's contact details
ORCID
0000-0001-8545-7437
Main Referenced Co-authors
De Neve, Wesley (47)
Christiaens, An (24)
Luyten, Vincent (24)
Snijers, André (24)
Van de Weyer, Delphi (24)
Main Referenced Keywords
deep learning (3); robustness (3); Applied Mathematics (2); Computer Science Applications (2); CRISPR-Cas Systems (2);
Main Referenced Disciplines
Mathematics (58)
Computer science (43)
Biotechnology (13)
Engineering, computing & technology: Multidisciplinary, general & others (6)
Life sciences: Multidisciplinary, general & others (3)

Publications (total 105)

The most downloaded
140 downloads
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). https://hdl.handle.net/2268/265569

The most cited

40 citations (Scopus®)

Christmann, A., & Van Messem, A. (2008). Bouligand Derivatives and Robustness of Support Vector Machines for Regression. Journal of Machine Learning Research, 9, 915-936. https://hdl.handle.net/2268/257825

Articles in scientific journals with peer reviewing

Park, H.-M.* , Yun, I.* , Kim, M., Nguyen, K. T., Van Messem, A., & De Neve, W. (03 April 2024). Interpretable rotator cuff tear diagnosis using MRI slides with CAMscore and SHAP. Proceedings of SPIE: The International Society for Optical Engineering, 12927 (129272V). doi:10.1117/12.3000229
Peer reviewed
* These authors have contributed equally to this work.

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
Peer Reviewed verified by ORBi

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
Peer Reviewed verified by ORBi
* 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.
Peer Reviewed verified by ORBi

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
Peer Reviewed verified by ORBi

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
Peer Reviewed verified by ORBi

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
Peer Reviewed verified by ORBi
* 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
Peer reviewed

Gasparyan, M., Van Messem, A., & Rao, S. (2021). Parameter estimation for chemical reaction networks from experimental data of reaction rates. International Journal of Control. doi:10.1080/00207179.2021.1998636
Peer Reviewed verified by ORBi

Ozbulak, U., Vandersmissen, B., Jalalvand, A., Couckuyt, I., Van Messem, A., & De Neve, W. (2021). Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems. Computer Vision and Image Understanding, 202, 103111. doi:10.1016/j.cviu.2020.103111
Peer Reviewed verified by ORBi

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
Peer Reviewed verified by ORBi

Ozbulak, U., Gasparyan, M., De Neve, W., & Van Messem, A. (2020). Perturbation analysis of gradient-based adversarial attacks. Pattern Recognition Letters, 135, 313 - 320. doi:10.1016/j.patrec.2020.04.034
Peer Reviewed verified by ORBi

Gasparyan, M., Van Messem, A., & Rao, S. (2018). A Novel Technique for Model Reduction of Biochemical Reaction Networks. IFAC-PapersOnLine, 51 (19), 28-31. doi:10.1016/j.ifacol.2018.09.024
Peer Reviewed verified by ORBi

Van Dun, P. L. S., Nicolaie, M. A., & Van Messem, A. (2016). State of affairs of osteopathy in the Benelux: Benelux Osteosurvey 2013. International Journal of Osteopathic Medicine, 20, 3-17. doi:10.1016/j.ijosm.2016.01.003
Peer Reviewed verified by ORBi

Van Messem, A., & Christmann, A. (2010). A review on consistency and robustness properties of support vector machines for heavy-tailed distributions. Advances in Data Analysis and Classification, 4 (2-3), 199-220. doi:10.1007/s11634-010-0067-2
Peer reviewed

Christmann, A., Van Messem, A., & Steinwart, I. (2009). On consistency and robustness properties of Support Vector Machines for heavy-tailed distributions. Statistics and Its Interface, 2, 311-327. doi:10.4310/SII.2009.v2.n3.a5
Peer reviewed

Christmann, A., & Van Messem, A. (2008). Bouligand Derivatives and Robustness of Support Vector Machines for Regression. Journal of Machine Learning Research, 9, 915-936.
Peer Reviewed verified by ORBi

Scientific conferences in universities or research centers

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.

Scientific congresses and symposiums

Published communications

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
Peer reviewed

Kang, H., Park, H.-M., Ahn, Y., Van Messem, A., & De Neve, W. (2021). Towards a quantitative analysis of class activation mapping for deep learning-based computer-aided diagnosis. In F. W. Samuelson & S. Taylor-Phillips (Eds.), Medical Imaging 2021: Image Perception, Observer Performance, and Technology Assessment (pp. 119 - 131). SPIE. doi:10.1117/12.2580819
Peer reviewed

Baek, J. Y., de Guzman, M. K., Park, H.-M., Park, S., Shin, B., Velickovic, T. C., Van Messem, A., & De Neve, W. (2021). Developing a Segmentation Model for Microscopic Images of Microplastics Isolated from Clams. In A. Del Bimbo, R. Cucchiara, S. Sclaroff, G. M. Farinella, T. Mei, M. Bertini, H. J. Escalante, ... R. Vezzani (Eds.), Pattern Recognition. ICPR International Workshops and Challenges (pp. 86-97). Springer International Publishing. doi:10.1007/978-3-030-68780-9_9
Peer reviewed

Park, H.-M., Kang, B., Van Messem, A., & De Neve, W. (2021). 3-D Deep Learning-Based Item Classification for Belt Conveyors Targeting Packaging and Logistics. In A. Del Bimbo, R. Cucchiara, S. Sclaroff, G. M. Farinella, T. Mei, M. Bertini, H. J. Escalante, ... R. Vezzani (Eds.), Pattern Recognition. ICPR International Workshops and Challenges (pp. 578-591). Springer International Publishing. doi:10.1007/978-3-030-68799-1_42
Peer reviewed

Jung, T., Anzaku, E. T., Ozbulak, U., Magez, S., Van Messem, A., & De Neve, W. (2021). Automatic Detection of Trypanosomosis in Thick Blood Smears Using Image Pre-processing and Deep Learning. In M. Singh, D.-K. Kang, J.-H. Lee, U. S. Tiwari, D. Singh, ... W.-Y. Chung (Eds.), Intelligent Human Computer Interaction (pp. 254-266). Springer International Publishing. doi:10.1007/978-3-030-68452-5_27
Peer reviewed

Park, H.-M., Van Messem, A., & De Neve, W. (2020). Item Measurement for Logistics-Oriented Belt Conveyor Systems Using a Scenario-Driven Approach and Automata-Based Control Design. In 2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA) (pp. 271-280). doi:10.1109/ICIEA49774.2020.9102044
Peer reviewed

Ozbulak, U., Van Messem, A., & De Neve, W. (2019). Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation. In D. Shen, T. Liu, T. M. Peters, L. H. Staib, C. Essert, S. Zhou, P.-T. Yap, ... A. Khan (Eds.), Medical Image Computing and Computer Assisted Intervention -- MICCAI 2019 (pp. 300-308). Springer. doi:10.1007/978-3-030-32245-8_34
Peer reviewed

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. In 2019 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). doi:10.1109/IJCNN.2019.8851930
Peer reviewed

Park, H.-M., Van Messem, A., & De Neve, W. (2019). Box-Scan: An efficient and effective algorithm for box dimension measurement in conveyor systems using a single RGB-D camera. In Proceedings of the 7th IIAE International Conference on Industrial Application Engineering 2019 (ICIAE2019) (pp. 160–167). doi:10.12792/iciae2019.032
Peer reviewed

Ozbulak, U., De Neve, W., & Van Messem, A. (2018). How the Softmax Output is Misleading for Evaluating the Strength of Adversarial Examples. In NeuRIPS 2018: 32nd Conference on Neural Information Processing Systems; Workshop on Security in Machine Learning (SECML2018).
Peer reviewed

Oral communications or posters

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.

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.

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.

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.

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.

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
Peer reviewed

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.
Peer reviewed

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).
Peer reviewed

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., 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.
Peer reviewed

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).
Peer reviewed

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., 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.
Peer reviewed

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.

Books

As author or co-author

Berckvens, G., Bormans, M., Bourgeois, P., Cambré, C., Christiaens, A., De Boom, C., Lormans, H., Luyten, V., Peeters, W., Snijers, A., Vaes, V., Van de Weyer, D., & Van Messem, A. (2023). Matrix Wiskunde 5 Analyse deel 1 Doorstroom Basis Handleiding (incl. Pelckmans Portaal). Belgium: Pelckmans Uitgevers nv.

Berckvens, G., Bormans, H., Bourgeois, P., Cambré, C., Christiaens, A., De Boom, C., Lormans, H., Luyten, V., Peeters, W., Snijers, A., Vaes, V., Van de Weyer, D., & Van Messem, A. (2023). Matrix Wiskunde 5/6 Machten en wortels, exponentiële functies, logaritmen, analyse Dubbele finaliteit Handleiding (incl. Pelckmans Portaal). Belgium: Pelckmans Uitgevers nv.

Berckvens, G., Bormans, M., Bourgeois, P., Cambré, C., Christiaens, A., De Boom, C., Lormans, H., Luyten, V., Peeters, W., Snijers, A., Vaes, V., Van de Weyer, D., & Van Messem, A. (2023). Matrix Wiskunde 5 Analyse deel 1: functieonderzoek Doorstroom Wetenschappen, Doorstroom Economie Handboek (incl. Pelckmans Portaal). Belgium: Pelckmans Uitgevers nv.

Berckvens, G., Bormans, M., Bourgeois, P., Cambré, C., Christiaens, A., De Boom, C., Lormans, H., Luyten, V., Peeters, W., Snijers, A., Vaes, V., Van de Weyer, D., & Van Messem, A. (2023). Matrix Wiskunde 5/6 Goniometrie, vectoren, ruimtemeetkunde Dubbele finaliteit Leerwerkboek (incl. Pelckmans Portaal). Belgium: Pelckmans Uitgevers nv.

Berckvens, G., Bormans, M., Bourgeois, P., Cambré, C., Christiaens, A., De Boom, C., Lormans, H., Luyten, V., Peeters, W., Snijers, A., Vaes, V., Van de Weyer, D., & Van Messem, A. (2023). Matrix Wiskunde 5 Logica, groepentheorie, complexe getallen Doorstroom Gevorderde wiskunde Handleiding (incl. Pelckmans Portaal). Belgium: Pelckmans Uitgevers nv.

Berckvens, G., Bormans, M., Bourgeois, P., Cambré, C., Christiaens, A., De Boom, C., Lormans, H., Luyten, V., Peeters, W., Snijers, A., Vaes, V., Van de Weyer, D., & Van Messem, A. (2023). Matrix Wiskunde 5 Analyse deel 1: functieonderzoek Doorstroom Gevorderde wiskunde Handleiding (incl. Pelckmans Portaal). Belgium: Pelckmans Uitgevers nv.

Berckvens, G., Bormans, M., Bourgeois, P., Cambré, C., Christiaens, A., De Boom, C., Lormans, H., Luyten, V., Peeters, W., Snijers, A., Vaes, V., Van de Weyer, D., & Van Messem, A. (2023). Matrix Wiskunde 5 Analyse deel 1: functieonderzoek Doorstroom Gevorderde wiskunde Handboek (incl. Pelckmans Portaal). Belgium: Pelckmans Uitgevers nv.

Berckvens, G., Bormans, M., Bourgeois, P., Cambré, C., Christiaens, A., De Boom, C., Lormans, H., Luyten, V., Peeters, W., Snijers, A., Vaes, V., Van de Weyer, D., & Van Messem, A. (2023). Matrix Wiskunde 5/6 Analyse, algebra Dubbele finaliteit Leerwerkboek (incl. Pelckmans Portaal). Belgium: Pelckmans Uitgevers nv.

Berckvens, G., Bormans, M., Bourgeois, P., Cambré, C., Christiaens, A., De Boom, C., Lormans, H., Luyten, V., Peeters, W., Snijers, A., Vaes, V., Van de Weyer, D., & Van Messem, A. (2023). Matrix Wiskunde 5 Analyse deel 1: functieonderzoek Doorstroom Wetenschappen, Doorstroom Economie Handleiding (incl. Pelckmans Portaal). Belgium: Pelckmans Uitgevers nv.

Berckvens, G., Bormans, M., Bourgeois, P., Cambré, C., Christiaens, A., De Boom, C., Lormans, H., Luyten, V., Peeters, W., Snijers, A., Vaes, V., Van de Weyer, D., & Van Messem, A. (2023). Matrix Wiskunde 5 Logica, groepentheorie, complexe getallen Doorstroom Gevorderde wiskunde Handboek (incl. Pelckmans Portaal). Belgium: Pelckmans Uitgevers nv.

Berckvens, G., Bormans, M., Bourgeois, P., Cambré, C., Christiaens, A., De Boom, C., Lormans, H., Luyten, V., Peeters, W., Snijers, A., Vaes, V., Van de Weyer, D., & Van Messem, A. (2023). Matrix Wiskunde 5/6 Kansrekenen, statistiek Doorstroom Basis en Dubbele finaliteit Handleiding (incl. Pelckmans Portaal). Belgium: Pelckmans Uitgevers nv.

Berckvens, G., Bormans, M., Boirugeois, P., Cambré, C., Christiaens, A., De Boom, C., Lormans, H., Luyten, V., Peeters, W., Snijers, A., Vaes, V., Van de Weyer, D., & Van Messem, A. (2023). Matrix Wiskunde 5/6 Goniometrie, vectoren, ruimtemeetkunde Dubbele finaliteit Handleiding (incl. Pelckmans Portaal). Belgium: Pelckmans Uitgevers nv.

Berckvens, G., Bormans, M., Bourgeois, P., Cambré, C., Christiaens, A., De Boom, C., Lormans, H., Luyten, V., Peeters, W., Snijers, A., Vaes, V., Van de Weyer, D., & Van Messem, A. (2023). Matrix Wiskunde 5 Logica, complexe getallen Doorstroom Wetenschappen Handleiding (incl. Pelckmans Portaal). Belgium: Pelckmans Uitgevers nv.

Berckvens, G., Bormans, M., Bourgeois, P., Cambré, C., Christiaens, A., De Boom, C., Lormans, H., Luyten, V., Peeters, W., Snijers, A., Vaes, V., Van de Weyer, D., & Van Messem, A. (2023). Matrix Wiskunde 5 Analyse deel 1 Doorstroom Basis Handboek (incl. Pelckmans Portaal). Belgium: Pelckmans Uitgevers nv.

Berckvens, G., Bormans, M., Bourgeois, P., Cambré, C., Christiaens, A., De Boom, C., Lormans, H., Luyten, V., Peeters, W., Snijers, A., Vaes, V., Van de Weyer, D., & Van Messem, A. (2023). Matrix Wiskunde 5/6 Machten en wortels, exponentiële functies, logaritmen, analyse Dubbele finaliteit Leerwerkboek (incl. Pelckmans Portaal). Belgium: Pelckmans Uitgevers nv.

Berckvens, G., Bormans, M., Bourgeois, P., Cambré, C., Christiaens, A., De Boom, C., Lormans, H., Luyten, V., Peeters, W., Snijers, A., Vaes, V., Van de Weyer, D., & Van Messem, A. (2023). Matrix Wiskunde 5/6 Kansrekenen, statistiek Doorstroom Basis en Dubbele finaliteit Leerwerkboek (incl. Pelckmans Portaal). Belgium: Pelckmans Uitgevers nv.

Berckvens, G., Bormans, M., Bourgeois, P., Cambré, C., Christiaens, A., De Boom, C., Lormans, H., Luyten, V., Peeters, W., Snijers, A., Vaes, V., Van de Weyer, D., & Van Messem, A. (2023). Matrix Wiskunde 5 Logica, complexe getallen Doorstroom Wetenschappen Handboek (incl. Pelckmans Portaal). Belgium: Pelckmans Uitgevers nv.

Berckvens, G., Bormans, M., Bourgeois, P., Cambré, C., Christiaens, A., De Boom, C., Lormans, H., Luyten, V., Peeters, W., Snijers, A., Vaes, V., Van de Weyer, D., & Van Messem, A. (2023). Matrix Wiskunde 5/6 Analyse, algebra Dubbele finaliteit Handleiding (incl. Pelckmans Portaal). Belgium: Pelckmans Uitgevers nv.

Bormans, M., Cambré, C., Cartuyvels, J., Christiaens, A., Decrock, J., De Witte, B., Luyten, V., Snijers, A., Tydtgat, P., Van de Weyer, D., Van Duffel, L., Temmermans, S. (Other coll.), & Van Messem, A. (Other coll.). (2022). Matrix Wiskunde 4.4-5 Leerwerkboek B Grafen - Meetkunde – Statistiek (incl. Pelckmans Portaal). Belgium: Pelckmans Uitgevers nv.

Bormans, M., Cambré, C., Cartuyvels, J., Christiaens, A., Decrock, J., De Witte, B., Luyten, V., Snijers, A., Tydtgat, P., Van de Weyer, D., Van Duffel, L., Temmerman, S. (Other coll.), & Van Messem, A. (Other coll.). (2022). Matrix Wiskunde 4.3 Leerwerkboek B Meetkunde – Statistiek (incl. Pelckmans Portaal). Belgium: Pelckmans Uitgevers nv.

Bormans, M., Cambré, C., Cartuyvels, J., Christiaens, A., Decrock, J., De Witte, B., Luyten, V., Snijers, A., Tydtgat, P., Van de Weyer, D., Van Duffel, L., Temmermans, S. (Other coll.), & Van Messem, A. (Other coll.). (2022). Matrix Wiskunde 4.3 Handleiding B Meetkunde – Statistiek (incl. Pelckmans Portaal). Belgium: Pelckmans Uitgevers nv.

Bormans, M., Cambré, C., Cartuyvels, J., Christiaens, A., Decrock, J., De Witte, B., Luyten, V., Snijers, A., Tydtgat, P., Van de Weyer, D., Van Duffel, L., Temmerman, S. (Other coll.), & Van Messem, A. (Other coll.). (2022). Matrix Wiskunde 4.5 Leerwerkboek B Meetkunde – Statistiek (incl. Pelckmans Portaal). Belgium: Pelckmans Uitgevers nv.

Bormans, M., Canmbré, C., Cartuyvels, J., Christiaens, A., Decrock, J., De Witte, B., Luyten, V., Snijers, A., Tydtgat, P., Van de Weyer, D., Van Duffel, L., Temmerman, S. (Other coll.), & Van Messem, A. (Other coll.). (2022). Matrix Wiskunde 4.4-5 Handleiding B Grafen – Meetkunde – Statistiek (incl. Pelckmans Portaal). Belgium: Pelckmans Uitgevers nv.

Bormans, M., Cambré, C., Cartuyvels, J., Christiaens, A., Decrock, J., De Witte, B., Luyten, V., Snijers, A., Tydtgat, P., Van de Weyer, D., Van Duffel, L., Temmerman, S. (Other coll.), & Van Messem, A. (Other coll.). (2022). Matrix Wiskunde 4.5 Handleiding B Meetkunde – Statistiek (incl. Pelckmans Portaal). Belgium: Pelckmans Uitgevers nv.

Book chapters and contributions to collective works

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
Peer reviewed

Van Messem, A. (2020). Chapter 10 - Support vector machines: A robust prediction method with applications in bioinformatics. In A. S. R. Srinivasa Rao & C. R. Rao (Eds.), Principles and Methods for Data Science (pp. 391 - 466). Elsevier. doi:10.1016/bs.host.2019.08.003
Peer reviewed

Theses and dissertations

Doctoral thesis

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

Master dissertations

Van Messem, A. (2002). Fair Value van verzekeringen en economisch kapitaal [Specialised master, VUB - Vrije Universiteit Brussel]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/264223

Van Messem, A. (2000). Geostatistiek: Robuuste Variogrammen en Kriging [Master’s dissertation, VUB - Vrije Universiteit Brussel]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/264222

Other publications and communications

Computer developments

Varewyck, M., & Van Messem, A. (2015). RiskStandard. doi:10.5281/zenodo.34499

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