
LRSM - Publicaciones
Artículos en revistas
“Daily streamflow of Argentine rivers analysis using information theory quantifiers.”, M. Suriano, L.F. Caram y O.A. Rosso. (2023). Entropy. En revisión.
“LabOSat-01: a payload for in-orbit device characterization”. G. A. Sanca, M. Barella, F. Gómez Marlasca, N. Álvarez, P. Levy, F. Golmar. IEEE Embedded System Letters (Febrero de 2023). Print ISSN: 1943-0663, Electronic ISSN: 1943-0671. DOI: 10.1109/LES.2023.3249408
“Chaotic Rabi oscillations in a non-linear SU(2) semiquantum dynamics”, Claudia M. Sarris y Roberta Hansen. IX Congreso de Matemática Aplicada, Computacional e Industrial, Revista MACI, Vol.9 (2023) 257- 260. https://asamaci.org.ar/revista-maci/; DOI: 10.29195/iascs.03.01.0022
"Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations”, C Li, J Zeng, C Li, CF Caiafa, Q Zhao, ICML 2023 (Fortieth International Conference on Machine Learning), Honolulu, USA, 23-29 July 2023.
“Towards improving motor imagery brain-computer interface using multimodal speech imagery”, J Tong, Z Xing, X Wei, S Du, Z Sun, J Solé-Casals, CF Caiafa, Journal of Medical and Biological Engineering, 43, pages 216–226 (2023). 10.1038/nrneurol.2016.113.
“Brain Simulation and Spiking Neural Networks”. Z Sun, V Cutsuridis, CF Caiafa, J Solé-Casals. Cognitive Computation 15, 1103–1105 (2023). 10.1007/s12559-023-10156-1.
“Exploratory Analysis of SCADA Data from Wind Turbines Using the K-Means Clustering Algorithm for Predictive Maintenance Purposes”, P Cosa Rodriguez, P Marti-Puig, CF Caiafa, M Serra-Serra, J Cusidó, J Solé-Casals, Machine, 11(2), 2023. 10.3390/machines11020270.
“Underwater sEMG-based recognition of hand gestures using tensor decomposition”, J Xue, Z Sun, F Duan, CF Caiafa, J Solé-Casals, Pattern Recognition Letters, 165, 2023. 10.1016/j.patrec.2022.11.021.
"Multi-class Classification of Upper Limb Movements with Filter Bank Task-related Component Analysis", H. Jia, F Feng, CF Caiafa, F Duan, Y Zhang, Z Sun, J Solé-Casals, IEEE Journal of Biomedical and Health Informatics. 10.1109/JBHI.2023.3278747. Z Zhang, F Duan, CF Caiafa, J Solé-Casals, Z Yang, Z Sun. Domain classifier-based transfer learning for visual attention prediction. World Wide Web, 25, 2022. 10.1007/s11280-022-01027-0.
“Graph Empirical Mode Decomposition-Based Data Augmentation Applied to Gifted Children MRI Analysis”, C Xuning, L Binghua, J Hao, F Fan, F Duan, S Zhe, CF Caiafa, J Solé-Casals, Frontiers in Neuroscience, 16, 2022. 10.3389/fnins.2022.866735
“A Brain-Controlled Vehicle System Based on Steady State Visual Evoked Potentials”, Z Zhang, S Han, H Yi, F Duan, F Kang, Z Sun J Solé-Casals, CF Caiafa, Cogn Comput 15, 2023. 10.1007/s12559-022-10051-1.
“A fast algorithm for spatiotemporal signals recovery using arbitrary dictionaries with application to electrocardiographic imaging”, SF Caracciolo, CF Caiafa, FD Martínez Pería, PD Arini, Biomedical Physics & Engineering Express, 8 (6), 2022. 10.1088/2057-1976/ac835b
"Detection of Wind Turbine Failures through Cross-Information between Neighbouring Turbines", P Marti-Puig, J Cusidó, FJ Lozano, M Serra-Serra, CF Caiafa, J Solé-Casals, Applied Sciences, 12 (19) 2022. 10.3390/app12199491
“Improving pre-movement pattern detection with filter bank selection”, H Jia, Z Sun, F Duan, Y Zhang, CF Caiafa, J Solé-Casals, Journal of Neural Engineering, 19 (6), 2022. 10.1088/1741- 2552/ac9e75.
“Cerebral cortex layer segmentation using diffusion magnetic resonance imaging in vivo with applications to laminar connections and working memory analysis”, J Zhang. Z Sun, F Duan, L Shi, Y Zhang, J Solé-Casals, CF Caiafa, Human Brain Mapping, 43(17), 2022. 10.1002/hbm.25998.
“Tensor completion algorithms for estimating missing values in multi-channel audio signals”, W Ding, Z Sun, X Wu, Z Yang, J Solé-Casals, CF Caiafa, Computers & Electrical Engineering, 97, 2022. 10.1016/j.compeleceng.2021.107561.
“MiA-CODER: A Multi-Intelligent Agent-Enabled Reinforcement Learning for Accurate Coverage Hole Detection and Recovery in Unequal Cluster-Tree-Based QoSensing WSN”, Luis Orlando Philco, Luis Marrone, and Emily Estupiñan. Journal of Applied Sciences. 2021, 11(23), 11134 https://doi.org/10.3390/app112311134
“State of the Art Review on the Analytic Hierarchy Process and Urban Mobility”, David Ruiz Bargueño, Valerio Antonio Pamplona Salomon, Fernando Augusto Silva Marins, Pedro Palominos and Luis Armando Marrone. Journal of Mathematics 2021, 9(24), 3179; https://doi.org/10.3390/math9243179 - 09 Dec 2021, EISSN 2227- 7390, Published by MDPI.
“Protocolo para el cálculo científico distribuido sobre clientes móviles indeterminados en una Mobile Ad hoc Networks MANET”, Pablo Iuliano, Luis Marrone, Fernando Tinetti. Desarrollo e Innovación en Ingeniería Vol. II, Serie: Ingeniería y Ciencia, Editorial Instituto Antioqueño de Investigación, Edición 6: septiembre 2021, ISBN: 978-958-53278-6-3. Medellín, Colombia.
Libros
“Paradigma TCP/IP”. Luis Marrone, Matías Robles, Andrés Barbieri, Néstor Castro. EDULP ISBN: 978-950-34-2249-6. 2023.
Capítulos de libros
“Las inundaciones en La Plata, Berisso y Ensenada: análisis de riesgo, estrategias de intervención. Hacia la construcción de un observatorio ambiental”. Capítulo 9. Luis Marrone Issue date: 2021 Document language: Spanish. Publisher: Editorial de la Universidad Nacional de La Plata (EDULP). ISBN: 978-987-8475-08-0
Otros: Trabajos presentados en Congresos y Conferencias
“Statistical complexity of crypto-currencies time-series fluctuations and their relationship with their corresponding white paper rules”, C.F. Caiafa, L.F. Caram, H. Merlino y O.A. Rosso. 3rd Latin American Conference On Complex Networks (LANET 2023), Universidad Andina del Cusco, Cuzco, Perú; agosto 21-25, 2023. Presentación de Poster.
“Esquema de funcionamiento de una red compleja cuántica basada en estados entrelazados”, C.M. Sarris y L.F. Caram, CUANTOS 5, 2023, Quinto Taller Argentino de Cuántica, Facultad de Matemática, Astronomía, Física y Computación (FAMAF) de la Universidad Nacional de Córdoba (UNC), Córdoba, Argentina.; abril 2023. Presentación de Poster.
“Cuantificadores de información para el análisis de series de tiempo hidrológicas”, M. Suriano, L.F. Caram y O.A. Rosso. TREFEMAC 2022, "XIX Congreso Regional de Física Estadística y Aplicaciones a la Materia Condensada", La Plata, Argentina; mayo 2022. Presentación de Poster.
“Clasificación de ríos de Argentina utilizando cuantificadores de información”, M. Suriano y L.F. Caram. 5to Congreso Argentino de Ingeniería (CADI), organizado por el Consejo federal de Decanos de Ingeniería, Buenos Aires, Argentina; octubre 5-7, 2021. Presentación de Poster.
“Chaotic Rabi Oscillations in a Non-Linear SU (2) Semiquantum Dynamics”, Claudia M. Sarris y Roberta Hansen. IX Congreso de Matemática Aplicada, Computacional e Industrial (IX MACI2023). 8 al 11 de mayo de 2023, Aulario Común (Edificio CUBO), Ciudad Universitaria, Santa Fe, Argentina.
“Traffic Classification in Software-Defined Networking by Employing Deep Learning Techniques: A Systematic Literature Review”. Nuñez-Agurto, D., Fuertes, W., Marrone, L., Benavides-Astudillo, E., Vásquez-Bermúdez. Technologies and Innovation. CITI 2023. Communications in Computer and Information Science, vol 1873 DOI https://doi.org/10.1007/978-3-031-45682-4_6 Published 23 October 2023
“Análisis de la equidad intra-protocolo de las variantes de TCP Reno, CUBIC, Vegas y Westwood cuando se producen errores en ráfaga en una red heterogénea”. Diego R. Rodríguez Herlein, Carlos A. Talay and Luis A. Marrone. Memorias de las 51 JAIIO - IETF Day - ISSN: 2451-7496. (2022).
“On the Resource Allocation for Radio Access Network Slicing in Cellular IoT with Massive Traffic”. Year: 2022, Pages: 1105-1111. DOI Bookmark: 10.1109/CSCI58124.2022.00198. Daniel Haro- Mendoza, Luis Tello-Oquendo, Vicent Pla, Jorge Martinez-Bauset, Luis A. Marrone, Shih-Chun Lin.
“Modeling the Resource Allocation in 5G Radio Access Networks with Network Slicing”. D. Haro-Mendoza, L. Tello-Oquendo, V. Pla, J. Martinez-Bauset, S. -C. Lin and L. A. Marrone. 2022 International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, NV, USA, 2022, pp. 1098-1104, doi: 10.1109/CSCI58124.2022.00197.
“Machine Learning Classifiers Selection in Network Intrusion Detection”, Graciela Becci, Javier Díaz, Luis Marrone, Miguel Morandi. 50JAIIO – IETFDay - ISSN: 2451-7623 - Página 16-31. SADIO- INTA, 18 al 29 de octubre 2021.
“Protocolo TCP: El RTT como un factor de evaluación del rendimiento”, Carlos A. Talay, Diego R. Rodríguez Herlein, Marycarmen Díaz Labrador, Claudia N. González, Luis A. Marrone. XXIII Edición del Workshop de Investigadores en Ciencias de la Computación, ISBN 978-987-24611-3-3. 15 y 16 de abril de 2021, Chilecito, La Rioja.