Onderzoeksoutput per jaar
Onderzoeksoutput per jaar
Persoonlijk profiel
Speerpunten
Pattern recognition, machine learning, brain-inspired computing, computer vision, image processing, big data, parallel and high performance computing; see http://www.cs.rug.nl/~petkov/
Head of the research group Intelligent Systems: http://www.cs.rug.nl/is
Netwerk
Recente externe samenwerking op landen-/regioniveau. Duik in de details door op de stippen te klikken of
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A framework for feature selection through boosting
Alsahaf, A., Petkov, N., Shenoy, V. & Azzopardi, G., jan-2022, In: Expert systems with applications. 187, 115895.Onderzoeksoutput › Academic › peer review
Open AccessBestand5 Citaten (Scopus)194 Downloads (Pure) -
Brain-Inspired Algorithms for Processing of Visual Data
Strisciuglio, N. & Petkov, N., 2021, Brain-Inspired Computing : 4th International Workshop, BrainComp 2019, Revised Selected Papers. Amunts, K., Grandinetti, L., Lippert, T. & Petkov, N. (redactie). Springer, blz. 105-115 11 blz. ( Lecture Notes in Computer Science; vol. 12339).Onderzoeksoutput › Academic › peer review
Open AccessBestand3 Downloads (Pure) -
Exploiting Spatio-Temporal Coherence for Video Object Detection in Robotics
Fernandez-Chaves, D., Matez-Bandera, J. L., Ruiz-Sarmiento, J. R., Monroy, J., Petkov, N. & Gonzalez-Jimenez, J., 2021, Computer Analysis of Images and Patterns - 19th International Conference, CAIP 2021, Proceedings. Tsapatsoulis, N., Panayides, A., Theocharides, T., Lanitis, A., Lanitis, A., Pattichis, C., Pattichis, C. & Vento, M. (redactie). Springer, blz. 186-196 11 blz. (Lecture Notes in Computer Science ; vol. 13053 LNCS).Onderzoeksoutput › Academic › peer review
Open AccessBestand3 Downloads (Pure) -
MTStereo 2.0: Accurate Stereo Depth Estimation via Max-Tree Matching
Brandt, R., Strisciuglio, N. & Petkov, N., 2021, Computer Analysis of Images and Patterns - 19th International Conference, CAIP 2021, Proceedings. Tsapatsoulis, N., Panayides, A., Theocharides, T., Lanitis, A., Lanitis, A., Pattichis, C., Pattichis, C. & Vento, M. (redactie). Springer, blz. 110-119 10 blz. (Lecture Notes in Computer Science ; vol. 13052 ).Onderzoeksoutput › Academic › peer review
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Use of convolutional neural networks for the detection of u-serrated patterns in direct immunofluorescence images to facilitate the diagnosis of epidermolysis bullosa acquisita
Shi, C., Meijer, J., Azzopardi, G., Diercks, G. F. H., Guo, J. & Petkov, N., sep-2021, In: The American Journal of Pathology. 191, 9, blz. 1520-1525Onderzoeksoutput › Academic › peer review
Open AccessBestand17 Downloads (Pure)
Activiteiten
- 1 Organising and contributing to an event
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Programme committee of I3A Workshop 2014
Nicolai Petkov (Member of scientific committee)
31-aug-2014Activiteit: Organising and contributing to an event › Academic
Datasets
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UserratedPatch2021
Shi, C. (Contributor), Meijer, J. (Contributor), Azzopardi, G. (Contributor), Diercks, G. (Contributor), Guo, J. (Contributor) & Petkov, N. (Contributor), University of Groningen, 31-mei-2021
DOI: 10.34894/zjtlbb
Dataset
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Labelled Dataset of Retinal Images for Glaucoma detection
Guo, J. (Contributor), Azzopardi, G. (Contributor), Shi, C. (Contributor), Jansonius, N. (Contributor) & Petkov, N. (Contributor), University of Groningen, 1-sep-2021
DOI: 10.34894/h2szso
Dataset
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EgoFoodPlaces: Hierarchical Approach to Classify Food Scenes in Egocentric Photo-Streams
Martinez, E. T. (Contributor), Leyva Vallina, M. (Contributor), Radeva, P. (Contributor) & Petkov, N. (Contributor), 4TU.ResearchData, 10-sep-2021
DOI: 10.4121/16592420
Dataset
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EgoFoodPlaces: Hierarchical Approach to Classify Food Scenes in Egocentric Photo-Streams
Martinez, E. T. (Contributor), Leyva Vallina, M. (Contributor), Radeva, P. (Contributor) & Petkov, N. (Contributor), 4TU.ResearchData, 10-sep-2021
DOI: 10.4121/16592420.v1
Dataset
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EgoRoutine: Topic modelling for routine discovery from egocentric photo-streams
Talavera, E. (Contributor), Radeva, P. (Contributor) & Petkov, N. (Contributor), University of Groningen, 10-sep-2021
DOI: 10.4121/16577627, https://data.4tu.nl/articles/_/16577627
Dataset
Knipsels
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University of Groningen: Finding the needles in a haystack of high-dimensional data sets | MarketScreener
Ahmad Alsahaf, George Azzopardi & Nicolai Petkov
24/09/2021
1 item van Media-aandacht
Pers / media: Onderzoek › Popular
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Zoeken naar de naald in een hooiberg van hoogdimensionale data
Ahmad Alsahaf, George Azzopardi & Nicolai Petkov
23/09/2021
1 item van Media-aandacht
Pers / media: Onderzoek › Popular
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Finding the needles in a haystack of high-dimensional data sets
Ahmad Alsahaf, George Azzopardi & Nicolai Petkov
23/09/2021
3 items van Media-aandacht
Pers / media: Onderzoek › Popular
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Predicting the exact slaughter age in pigs
Ahmad Alsahaf, George Azzopardi, Bart Ducro, Egiel Hanenberg, Roel Veerkamp & Nicolai Petkov
07/06/2019
1 item van Media-aandacht
Pers / media: Onderzoek › Academic
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New analysis allows accurate prediction of slaughter age
Ahmad Alsahaf, George Azzopardi, Bart Ducro, Egiel Hanenberg, Roel Veerkamp & Nicolai Petkov
23/05/2019
1 item van Media-aandacht
Pers / media: Onderzoek › Academic
Prijzen
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Best Paper Award for "Unsupervised delineation of the vessel tree in retinal funds images"
Strisciuglio, Nicola (Recipient), Azzopardi, George (Recipient) & Petkov, Nicolai (Recipient), 2015
Prijs: Prize › Academic