Expertise
Engineering & Materials Science
# Acoustic Waves
# Blood Vessels
# Computer Vision
# Convolutional Neural Networks
# Experiments
# Skidding
Mathematics
# Brain
# Filter
Organisations
Publications
Recent
Falcone, R., Ciaramella, A., Carrabs, F.
, Strisciuglio, N., & Martinelli, E. (2022).
Artificial neural network for technical feasibility prediction of seismic retrofitting in existing RC structures.
Structures,
41, 1220-1234.
https://doi.org/10.1016/j.istruc.2022.05.008
Riego Del Castillo, V., Sánchez-González, L., Campazas-Vega, A.
, & Strisciuglio, N. (2022).
Vision-Based Module for Herding with a Sheepdog Robot.
Sensors (Basel, Switzerland),
22(14), [5321].
https://doi.org/10.3390/s22145321
Pandey, V.
, Brune, C.
, & Strisciuglio, N. (2022).
Self-supervised Learning Through Colorization for Microscopy Images. In S. Sclaroff, C. Distante, M. Leo, G. M. Farinella, & F. Tombari (Eds.),
Image Analysis and Processing – ICIAP 2022: 21st International Conference, Lecce, Italy, May 23-27, 2022. Proceedings, Part II (pp. 621-632). (Lecture Notes in Computer Science; Vol. 13232). Springer.
https://doi.org/10.1007/978-3-031-06430-2_52
Greco, A.
, Strisciuglio, N., Vento, M.
, & Vigilante, V. (2022).
Benchmarking deep networks for facial emotion recognition in the wild.
Multimedia tools and applications.
https://doi.org/10.1007/s11042-022-12790-7
Brandt, R.
, Strisciuglio, N., & Petkov, N. (2021).
MTStereo 2.0: Accurate Stereo Depth Estimation via Max-Tree Matching. In N. Tsapatsoulis, A. Panayides, T. Theocharides, A. Lanitis, A. Lanitis, C. Pattichis, C. Pattichis, & M. Vento (Eds.),
Computer Analysis of Images and Patterns - 19th International Conference, CAIP 2021, Proceedings (pp. 110-119). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13052 LNCS). Springer.
https://doi.org/10.1007/978-3-030-89128-2_11
Strisciuglio, N., & Petkov, N. (2021).
Brain-Inspired Algorithms for Processing of Visual Data. In K. Amunts, L. Grandinetti, T. Lippert, & N. Petkov (Eds.),
Brain-Inspired Computing - 4th International Workshop, BrainComp 2019, Revised Selected Papers (pp. 105-115). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12339 LNCS). Springer.
https://doi.org/10.1007/978-3-030-82427-3_8
Riego, V., Sánchez-González, L., Fernández-Robles, L., Gutiérrez-Fernández, A.
, & Strisciuglio, N. (2021).
Burr detection and classification using RUSTICO and image processing.
Journal of computational science,
56, [101485].
https://doi.org/10.1016/j.jocs.2021.101485
Mehra, A.
, Spreeuwers, L.
, & Strisciuglio, N. (2021).
Deepfake detection using capsule networks and long short-term memory networks. In G. M. Farinella, P. Radeva, J. Braz, & K. Bouatouch (Eds.),
Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP (pp. 407-414). SCITEPRESS.
https://doi.org/10.5220/0010289004070414
Petkov, N.
, Strisciuglio, N., & Travieso-González, C. M. (2020).
APPIS 2020: Proceedings of the 3rd International Conference on Applications of Intelligent Systems. ACM Publishing.
https://doi.org/10.1145/3378184
Alvarez, R., Diez-gonzalez, J.
, Strisciuglio, N., & Perez, H. (2020).
Multi-Objective Optimization for Asynchronous Positioning Systems Based on a Complete Characterization of Ranging Errors in 3D Complex Environments.
IEEE Access,
8, 43046-43056. [9023962].
https://doi.org/10.1109/ACCESS.2020.2978336
Melotti, D., Heimbach, K., Rodríguez-Sánchez, A.
, Strisciuglio, N., & Azzopardi, G. (2020).
A robust contour detection operator with combined push-pull inhibition and surround suppression.
Information sciences,
524, 229-240.
https://doi.org/10.1016/j.ins.2020.03.026
Brandt, R.
, Strisciuglio, N., Petkov, N., & Wilkinson, M. H. F. (2020).
Efficient binocular stereo correspondence matching with 1-D Max-Trees.
Pattern recognition letters,
135, 402-408.
https://doi.org/10.1016/j.patrec.2020.02.019
Strisciuglio, N., Lopez-Antequera, M., & Petkov, N. (2020).
Enhanced Robustness of Convolutional Networks with a Push-Pull Inhibition Layer.
Neural Computing and Applications,
32(24), 17957-17971.
https://doi.org/10.1007/s00521-020-04751-8
Ramachandran, S.
, Strisciuglio, N., Vinekar, A., John, R., & Azzopardi, G. (2020).
U-COSFIRE filters for vessel tortuosity quantification with application to automated diagnosis of retinopathy of prematurity.
Neural Computing and Applications,
32(16), 12453-12468.
https://doi.org/10.1007/s00521-019-04697-6
Leyva-Vallina, M.
, Strisciuglio, N., Lopez Antequera, M., Tylecek, R., Blaich, M., & Petkov, N. (2019).
TB-places: A data set for visual place recognition in garden environments.
IEEE Access,
7, 52277-52287. [8698240].
https://doi.org/10.1109/ACCESS.2019.2910150
UT Research Information System
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Affiliated Study Programmes
Master
Courses Academic Year 2022/2023
Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
Courses Academic Year 2021/2022
Contact Details
Visiting Address
University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
(building no. 11), room 4122
Hallenweg 19
7522NH Enschede
The Netherlands
Mailing Address
University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
4122
P.O. Box 217
7500 AE Enschede
The Netherlands