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Profil

VEGA MORENO Carlos Gonzalo

University of Luxembourg

Main Referenced Co-authors
SATAGOPAM, Venkata Pardhasaradhi  (6)
SCHNEIDER, Reinhard  (6)
Aracil, Javier (5)
GROUES, Valentin  (5)
GAWRON, Piotr  (2)
Main Referenced Keywords
machine learning (3); Knowledge Curation (2); Systems Biology (2); Biomedical imaging (1); biomedicine (1);
Main Referenced Unit & Research Centers
Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group) (1)
Main Referenced Disciplines
Computer science (9)
Biochemistry, biophysics & molecular biology (2)
Engineering, computing & technology: Multidisciplinary, general & others (1)
Life sciences: Multidisciplinary, general & others (1)

Publications (total 13)

The most downloaded
197 downloads
Vega Moreno, C. G., Roquero, P., & Aracil, J. (2017). Multi-Gbps HTTP traffic analysis in commodity hardware based on local knowledge of TCP streams. Computer Networks, 113, 258-268. doi:10.1016/j.comnet.2017.01.001 https://hdl.handle.net/10993/37222

The most cited

11 citations (OpenCitations)

Vega Moreno, C. G., Roquero, P., & Aracil, J. (2017). Multi-Gbps HTTP traffic analysis in commodity hardware based on local knowledge of TCP streams. Computer Networks, 113, 258-268. doi:10.1016/j.comnet.2017.01.001 https://hdl.handle.net/10993/37222

Vega Moreno, C. G., Gawron, P., Lebioda, J., Groues, V., Krüger, R., Schneider, R., & Satagopam, V. (20 September 2022). SMASCH: Facilitating multi-appointment scheduling in longitudinal clinical research studies and care programs [Poster presentation]. European Conference on Computational Biology, Sitges, Spain. doi:10.5281/zenodo.6832272

Vega Moreno, C. G., Gawron, P., Lebioda, J., Groues, V., Matyjaszczyk, P., Pauly, C., Smula, E., Krüger, R., Schneider, R., & Satagopam, V. (2022). Smart Scheduling (SMASCH): multi-appointment scheduling system for longitudinal clinical research studies. JAMIA Open, 5 (2), 038. doi:10.1093/jamiaopen/ooac038
Peer Reviewed verified by ORBi

Vega Moreno, C. G., Kratochvil, M., Satagopam, V., & Schneider, R. (2022). Translational Challenges of Biomedical Machine Learning Solutions in Clinical and Laboratory Settings. In Bioinformatics and Biomedical Engineering (pp. 353--358). Cham, Unknown/unspecified: Springer International Publishing. doi:10.1007/978-3-031-07802-6_30
Peer reviewed

Garcia Santa Cruz, B., Vega Moreno, C. G., & Hertel, F. (16 November 2021). The need of standardised metadata to encode causal relationships: Towards safer data-driven machine learning biological solutions [Paper presentation]. Computational Intelligence Methods for Bioinformatics and Biostatistics 2021. doi:10.5281/zenodo.5729350

Vega Moreno, C. G. (06 July 2021). From Hume to Wuhan: An Epistemological Journey on the Problem of Induction in COVID-19 Machine Learning Models and its Impact Upon Medical Research. IEEE Access, 9, 97243-97250. doi:10.1109/ACCESS.2021.3095222
Peer Reviewed verified by ORBi

Welter, D., Vega Moreno, C. G., Biryukov, M., Groues, V., Ghosh, S., Schneider, R., & Satagopam, V. (27 November 2020). Supporting findability of COVID-19 research with large-scale text mining of scientific publications [Poster presentation]. International FAIR Convergence Symposium. doi:10.5281/zenodo.4300199

Vega Moreno, C. G., Groues, V., Ostaszewski, M., Satagopam, V., & Schneider, R. (04 September 2020). BioKC: a platform for quality controlled curation and annotation of systems biology models [Paper presentation]. European Conference on Computational Biology. doi:10.5281/zenodo.4033071

Vega Moreno, C. G., Groues, V., Ostaszewski, M., Schneider, R., & Satagopam, V. (2020). BioKC: a collaborative platform for systems biology model curation and annotation. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/44411. doi:10.1101/2020.10.01.322438

Vega Moreno, C. G., Zazo, J. F., Meyer, H., Zyulkyarov, F., Lopez-Buedo, S., & Aracil, J. (2018). Diluting the Scalability Boundaries: Exploring the Use of Disaggregated Architectures for High-Level Network Data Analysis. In C. G. Vega Moreno, 2017 IEEE 19th International Conference on High Performance Computing and Communications; IEEE 15th International Conference on Smart City; IEEE 3rd International Conference on Data Science and Systems (HPCC/SmartCity/DSS). doi:10.1109/HPCC-SmartCity-DSS.2017.45
Peer reviewed

Vega Moreno, C. G., Miravalls Sierra, E., Julián Moreno, G., López de Vergara, J. E., Magaña, E., & Aracil, J. (2018). On the design and performance evaluation of automatic traffic report generation systems with huge data volumes. International Journal of Network Management, 28 (6), 2044. doi:10.1002/nem.2044
Peer reviewed

Vega Moreno, C. G., Aracil, J., & Magaña, E. (2018). KISS Methodologies for Network Management and Anomaly Detection. In C. G. Vega Moreno, J. Aracil, ... E. Magaña, KISS Methodologies for Network Management and Anomaly Detection (pp. 99-104). IEEE.
Peer reviewed

Vega Moreno, C. G., Roquero, P., & Aracil, J. (2017). Multi-Gbps HTTP traffic analysis in commodity hardware based on local knowledge of TCP streams. Computer Networks, 113, 258-268. doi:10.1016/j.comnet.2017.01.001
Peer Reviewed verified by ORBi

Vega Moreno, C. G., Roquero, P., Leira, R., Gonzalez, I., & Aracil, J. (2017). Loginson: a transform and load system for very large-scale log analysis in large IT infrastructures. Journal of Supercomputing, 73 (9), 3879-3900. doi:10.1007/s11227-017-1990-1
Peer reviewed

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