Cor Veenman
Onderzoeker / gast
- Naam
- Dr. C.J. Veenman
- Telefoon
- +31 71 527 5772
- c.j.veenman@liacs.leidenuniv.nl
Meer informatie over Cor Veenman
Nieuws
-
AI-Lab van start voor effectief en verantwoord toezicht -
Algoritmes bestrijden milieuvervuiling door schepen -
Zwavel meten met satellieten -
Onverwachte data zijn goed voor je business -
Universiteit Leiden en ICTU doen samen onderzoek naar softwareontwikkeling -
Cor Veenman (NFI) onderzoeker Forensic Big Data Science bij LIACS
Onderzoeker / gast
- Wiskunde en Natuurwetenschappen
- Leiden Inst of Advanced Computer Science
- Kurchaba S., Vliet J. van, Verbeek F.J. & Veenman C.J. (2023), Anomalous NO2 emitting ship detection with TROPOMI satellite data and machine learning, Remote Sensing of Environment 297: 113761.
- Bruin G.J. de, Pereira Barata A., Herik H.J. van den, Takes F.W. & Veenman C.J. (2022), Fair automated assessment of noncompliance in cargo ship networks, EPJ Data Science 11: 13.
- Kurchaba S., Vliet J. van, Verbeek F.J., Meulman J.J. & Veenman C.J. (2022), Supervised segmentation of NO2 plumes from individual ships using TROPOMI satellite data, Remote Sensing 14(22): 5809.
- Bruin G.J. de, Veenman C.J., Herik H.J. van den & Takes F.W. (2021), Experimental evaluation of train and test split strategies in link prediction. Benito R.M., Cherifi C., Cherifi H., Moro E., Rocha L.M. & Sales-Pardo M. (red.), Complex networks & their applications IX. Complex Networks 1 december 2020 - 3 december 2020 nr. 944. Cham: Springer. 79-91.
- Bruin G.J. de, Veenman C.J., Herik H.J. van den & Takes F.W. (2021), Supervised temporal link prediction in large-scale real-world networks, Social Network Analysis and Mining 11: 80.
- Kurchaba S., Vliet J. van, Meulman J.J., Verbeek F.J. & Veenman C.J. (2021), Improving evaluation of NO2 emission from ships using spatial association on TROPOMI satellite data. Meng X., Wang F., Lu C.T., Huang Y., Shekhar S. & Xie X. (red.), Proceedings of the 29th International Conference on Advances in Geographic Information Systems. SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems 2 november 2021 - 5 november 2021. New York, U.S.A.: ACM. 454-457.
- Pereira Barata A.P., Takes F.W., Herik H.J. van den & Veenman C.J. (2020), The eXPose approach to crosslier detection, 2020 25th International Conference on Pattern Recognition (ICPR). 25th International Conference on Pattern Recognition (ICPR2020) 10 januari 2020 - 15 januari 2020: IEEE. 2312-2319.
- Pereira Barata A., Takes F.W., Herik H.J. van den & Veenman C.J. (2019), Imputation Methods Outperform Missing-Indicator for Data Missing Completely at Random. Papapetrou P., Cheng X. & He Q. (red.), Proceedings 19th IEEE International Conference on Data Mining Workshops. 2019 International Conference on Data Mining Workshops (ICDMW) 8 november 2019 - 11 november 2019: IEEE. 407-414.
- Bruin G.J. de, Veenman C.J., Herik H.J. van den & Takes F.W. (2019), Understanding Dynamics of Truck Co-Driving Networks. Cherifi H., Gaito S., Fernendo Mendes J., Moro E. & Mateus Rocha L. (red.), Complex Networks and Their Applications VIII Complex Networks 2019. Conference on Complex Networks and Their Applications 10 december 2019 - 12 december 2019 nr. 882. Cham: Springer. 140-151.
- Bruin G.J. de, Veenman C.J., Herik H.J. van den & Takes F.W. (2018), Understanding Behavioral Patterns in Truck Co-Driving Networks. Aiello L.M., Cherifi C., Cherifi H., Lambiotte R., Lió P. & Rocha L.M. (red.), Complex Networks and Their Applications VII. The 7th International Conference on Complex Networks and Their Applications 11 december 2018 - 13 december 2018 nr. SCI 813. Cham: Springer. 223-235.
- Pereira Barata A., Bruin G. de, Takes F., Veenman C. & Herik J. van den (2018), Finding anomalies in waste transportation data with supervised category models, BNAIC 2018 Proceedings. Benelearn 2018: The annual machine learning conference of the Benelux 8 november 2018 - 9 november 2018: BNAIC.
- Pereira Barata A.P., Bruin G.J. de, Takes F.W., Veenman C.J. & Herik H.J. van den (2018), Data-driven risk assessment in infrastructure networks, : .
- Custers B.H.M., Herik H.J. van den, Laat C.T.A.M. de, Rademaker M. & Veenman C.J. (2017), Enabling Big Data Applications for Security: Responsible by Design. Den Haag: The Hague Security Delta.
- Jacobusse G. & Veenman C.J. (2016), On Selection Bias with Imbalanced Classes. Calders T., Ceci M. & Malerba D. (red.), Proceedings 19th International Conference on Discovery Science (DS 2016). 19th International Conference on Discovery Science (DS 2016) 19 oktober 2016 - 21 oktober 2016 nr. LNCS 9956. Cham: Springer. 325-340.