ARTÍCULOS ARBITRADOS PUBLICADOS Y LIBROS (*)
2026
Alberro, L., & Grampin, E. (2026). Transport protocols in the data center: Understanding proposals and research challenges. Computer Networks, 274(111793), 111793. https://doi.org/10.1016/j.comnet.2025.111793
Araya, I., Ochoa, S., & Luna, C. (2026). Preface to the CLEI 2025 special issue - volume I. CLEI Electronic Journal, 29(3). https://doi.org/10.19153/cleiej.29.3.1
Arce-García, I. Y., Moreno, P., Pacheco-Valencia, V., Nesmachnow, S., del Carmen Torres-Salazar, M., & León-Hernández, V. A. (2026). Optimization of waste collection routes in the historic center of Cuernavaca using a simulated annealing metaheuristic approach. Programming and Computer Software, 52(3), 163–179. https://doi.org/10.1134/s0361768826700167
Cancela, H., Murray, L., & Rubino, G. (2026). Analysis of two methods for reliability estimation on the Static Network Model. CLEI Electronic Journal, 29(2). https://doi.org/10.19153/cleiej.29.2.4
Castelli, R., González, T., Torrado, R., Martín, Á., & Dufort Y Álvarez, G. (2026). Efficient lossless compression of nanopore sequencing signals. Bioinformatics Advances, 6(1), vbag157. https://doi.org/10.1093/bioadv/vbag157
Favaro, F., Dufrechou, E., Oliver, J. P., & Ezzatti, P. (2026). Optimizing High-Level synthesis sparse matrix-vector kernel for alveo FPGAs. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 1–1. https://doi.org/10.1109/tcad.2026.3673494
Ferraris, G. M., Giovannetti, A., Chagas, S. G., Gotelli, M., Gutiérrez, S., Kreimerman, R., Mauttone, A., Solina, V., & Tonelli, F. (2026). Social analysis modeling with System Dynamics approach in a Uruguayan case of green hydrogen production. Energies, 19(5), 1352. https://doi.org/10.3390/en19051352
Freire, M., Dufrechou, E., & Ezzatti, P. (2026). A review of self-scheduled strategies for numerical linear algebra on GPU. Computer Science Review, 60 (100901), 100901. https://doi.org/10.1016/j.cosrev.2026.100901
González, L., Toutouh, J., & Nesmachnow, S. (2026). Low-cost deep learning for building detection with application to informal urban planning. ISPRS International Journal of Geo-Information, 15(1), 36. https://doi.org/10.3390/ijgi15010036
Jiménez, D., Gacitúa, L., Cancela, H., Olivares, D., & Barrera, J. (2026). Reliability assessment of critical infrastructure under seismic hazard: Dependence of telecommunication network on electricity grid. IEEE Access: Practical Innovations, Open Solutions, 14, 72085–72102. https://doi.org/10.1109/access.2026.3689367
Lopez de Haro, S., Nesmachnow, S., & Rossit, D. (2026). Evolutionary multicriteria planning of bus stops location in smart cities. Frontiers in Future Transportation, 7(1800459). https://doi.org/10.3389/ffutr.2026.1800459
Martínez-Quezada, D. O., Cortés, C. E., Gendreau, M., & Mauttone, A. (2026). A bilevel model and a column generation heuristic for the transit network design and frequency setting problem with capacity constraints. Transportation Research Part B: Methodological, 211(103542), 103542. https://doi.org/10.1016/j.trb.2026.103542
Martinez-Quezada, D. O., Cortés, C. E., Mauttone, A., & Munizaga, M. A. (2026). A multi-objective optimization approach for the electric transit network design and frequency setting problem. Applied Mathematical Modelling, 154(116669), 116669. https://doi.org/10.1016/j.apm.2025.116669
Muraña, J., & Nesmachnow, S. (2026). Synthetic energy data generation using Wasserstein GANs for high performance computing nodes. Programming and Computer Software, 52(3), 147–162. https://doi.org/10.1134/s0361768826700192
Navarro, J., Castro, A., Astudillo, C. A., & Rattaro, C. (2026). Demystifying O-RAN implementations under resource-constrained hardware: an experimental evaluation. Annals of Telecommunications - Annales Des Télécommunications. https://doi.org/10.1007/s12243-026-01181-w
Nesmachnow, S., Hernández-Callejo, L., de Frutos Madrazo, P., Hass, T., Shen, Y., & Eugenio-Gozalbo, M. (2026). Urban Agenda. MDPI. https://doi.org/10.3390/books978-3-7258-6433-1
Ochoa, S., Luna, C., & Araya, I. (2026). Preface to the CLEI 2025 Special Issue, volume II. CLEI Electronic Journal, 29(4). https://doi.org/10.19153/cleiej.29.4.1
Pagella, L., Stari, C., & Rosá, A. (2026). Hacia una metodología automatizada para identificar habilidades científicas en informes de laboratorio de Física. Revista de Enseñanza de la Física, 38(1), 229–235. https://doi.org/10.55767/2451.6007.v38.n1.52388
Peralta-Abarca, J. del C., Moreno, P., Nesmachnow, S., & Rossit, D. (2026). Integrating lean and digital traceability to reduce work-in-process inventory and defects in automotive support operations. Operations Research Forum, 7(2). https://doi.org/10.1007/s43069-026-00654-x
Pizard, S., & Marenco, L. (2026). Using real-world scenarios to bridge training and practice in evidence-based software engineering: An extended evaluation. Science of Computer Programming, 253(103475), 103475. https://doi.org/10.1016/j.scico.2026.103475
Ribeiro, T. V., de França, B. B. N., Medeiros dos Santos, P. S., de Mello, R. M., Apa, C., Vallespir, D., & Travassos, G. H. (2026). Design, execution, and contextual factors shaping the benefits and drawbacks of focus groups in software engineering. Information and Software Technology, 195(108136), 108136. https://doi.org/10.1016/j.infsof.2026.108136
Romero, P. (2026). Most reliable graphs with reduced corank. Discrete Applied Mathematics (Amsterdam, Netherlands: 1988), 379, 855–871. https://doi.org/10.1016/j.dam.2025.10.057
Romero, P. (2026a). Infinitely many counterexamples to conjectures by Boesch and Ath‐Sobel. Networks (New York, NY), 87(3), 247–256. https://doi.org/10.1002/net.70022
Romero, P., & Safe, M. D. (2026). Nonexistence of uniformly most reliable graphs of least corank. Discrete Applied Mathematics (Amsterdam, Netherlands: 1988), 380, 407–419. https://doi.org/10.1016/j.dam.2025.10.028
Rossit, D., Nesmachnow, S., & Cavallin, A. (2026). A comprehensive analysis of a municipal solid waste management system: An Argentinean case study. Waste Management & Research: The Journal of the International Solid Wastes and Public Cleansing Association, ISWA, 44(5), 539–555. https://doi.org/10.1177/0734242X251406006
Rossit, D., Nesmachnow, S., Callejo, L. H., & Moreno, P. (2026). Editorial: Smart cities, innovating in the Transformation of Urban Environments. Mathematical Biosciences and Engineering, 23(6), 1768–1773. https://doi.org/10.3934/mbe.2026064
Seidel, A., Weske, M., Montali, M., Rivkin, A., Reichert, M., van der Werf, J. M. E. M., van der Aalst, W. M. P., Breitmayer, M., Liss, L., van Detten, J. N., Jalali, A., Khayatbashi, S., König, M., Lichtenstein, T., Rinderle-Ma, S., Weber, B., Soffer, P., Rossi, L., Calegari Garcia, D., Delgado, A., Senderovich, A.,...[et al.]. (2026). Object-centric process management: A research manifesto. Information Systems, 141(102728), 102728. https://doi.org/10.1016/j.is.2026.102728
2025
Armand-Ugon, P., Goliatt, L., Castro, A., & Gorgoglione, A. (2025). Machine learning for predicting coliform concentrations at Montevideo beaches: Identifying key environmental drivers for coastal water quality management. Earth (Basel, Switzerland), 6(4), 147. https://doi.org/10.3390/earth6040147
Calegari, D., & Delgado, A. (2025). A systematic review on Process Mining for curricular analysis. Wiley Interdisciplinary Reviews. Data Mining and Knowledge Discovery, 15(2). https://doi.org/10.1002/widm.70005
Cancela, H., Blasiak, M., Oberti, J., Strechia, J., & Quintana, P. (2025). Worker assignment models for hiring people with disabilities in service organizations. CLEI Electronic Journal, 28(5). https://doi.org/10.19153/cleiej.28.5.7
Cancela, H., Murray, L., & Rubino, G. (2025). Solving implementation issues of Permutation Monte Carlo in different network reliability contexts. CLEI Electronic Journal, 28(3). https://doi.org/10.19153/cleiej.28.3.8
Caro, F., Rossit, D., Santiviago, C., Ferreira, J., & Nesmachnow, S. (2026). Cost-performance trade-off analysis of physicochemical phosphorus removal systems for wastewater treatment: A bi-objective optimization approach. Mathematical Biosciences and Engineering, 23(1), 124–147. https://doi.org/10.3934/mbe.2026006
Caro, F., Santiviago, C., Ferreira, J., Castelló, E., & Pinto, J. C. (2025). Data-driven models for phosphorus forecasting in wastewater treatment plants: A tool to enhance operation. Journal of Environmental Chemical Engineering, 13(3), 116259. https://doi.org/10.1016/j.jece.2025.116259
Curi, M. E., Gerosa, A., Viera, M., & Carboni, A. (2025). A review of computational thinking interventions in upper elementary education. Computers and Education Open, 9(100252), 100252. https://doi.org/10.1016/j.caeo.2025.100252
Ercoli, R., Navadian, F., Urrisa, J., Monzón, P., & Benavides, F. (2025). Indoor collaborative robot exploration: A distributed market-based approach. IEEE Embedded Systems Letters, 17(6), 402–405. https://doi.org/10.1109/les.2025.3555547
De Prado, J., E., Moscatelli, S., Piñeyro, P., Tansini, L., & Viera, O. (2025). Solving the multi-depot vehicle routing problem with limited supply capacity at the depots with a multi-phase methodology. International Journal of Operational Research, 54(4), 413–434. https://doi.org/10.1504/ijor.2025.150777
Delgado, A., Calegari, D., Espino, C., & Ribero, N. (2025). Predictive process monitoring for collaborative business processes: concepts and application. Discover Analytics, 3(1). https://doi.org/10.1007/s44257-025-00031-8
Díaz-Simón, N., Trinidad, G., de León, D., Spelke, E., & Maiche, A. (2025). Digitally supervised play of math games improves math learning more when the games are played with peers than when played individually. Cognitive Science, 49(12), e70150. https://doi.org/10.1111/cogs.70150
González A., Cristiá M. & Luna C. (2025). Verification of quantitative temporal properties in RealTime-DEVS. Simulation. 101(10), 1057-1076. https://doi.org/10.1177/00375497251340070
Goñi, G., Nesmachnow, S., Rossit, D., Moreno-Bernal, P., & Tchernykh, A. (2025). Bio-inspired multiobjective optimization for designing content distribution networks. Mathematical & Computational Applications, 30(2), 45. https://doi.org/10.3390/mca30020045
Gorgoglione, A., Russo, C., Gioia, A., Iacobellis, V., & Castro, A. (2025). Comparing neural network architectures for simulating pollutant loads and first flush events in urban watersheds: Balancing specialization and generalization. Chemosphere, 379, 144395. https://doi.org/10.1016/j.chemosphere.2025.144395
Guerrero, G., Betarte, G., & Campo, J. D. (2025). Assessment of red and blue team training in the cyber range Tectonic using process mining. CLEI Electronic Journal, 28(5). https://doi.org/10.19153/cleiej.28.5.2
Inchausti, L., Martín, Á., Pérez-Díaz, L., Garat, B., Duhagon, M. A., Sotelo-Silveira, J., De Gaudenzi, J. G., & Smircich, P. (2025). Exploring a gene co-expression network throughout the trypanosoma cruzi life cycle. BMC Genomics, 26(1), 916. https://doi.org/10.1186/s12864-025-12095-7
Kahl, N., Luttrell, K., & Romero, P. (2025). Corrigendum to “On maximum graphs in Tutte polynomial posets” [Discrete Appl. Math. 339 (2023) 78–88]. Discrete Applied Mathematics (Amsterdam, Netherlands: 1988), 371, 276–277. https://doi.org/10.1016/j.dam.2025.04.024
Lopes, D. de Q., Porta, M., Viola, M., & Motz, R. (2025). Cibersociedade e educação em tempos de controle algorítmico: uma perspectiva crítica a partir do resgate da ideia de participação. Revista Cocar. https://doi.org/10.31792/rc.vi41.10982
Marzoa Tanco, M., Trinidad Barnech, G., Benavides, F., & Tejera, G. (2025). Integrating advanced robotics for precision agriculture and sustainability: A MINA efforts divulgation compendium. Agrociencia Uruguay, 29, e15258. https://doi.org/10.31285/agro.29.1528
Molina, M. F., Betarte, G., & Luna, C. (2025). A comparative study of implementations for validating consent in personal data access control. 2025 LI Latin American Computer Conference (CLEI), 1–10. https://doi.org/10.1109/clei67442.2025.11420618
Mordecki, G., Chiruzzo, L., Laguna, R., Prada, J.J., Rosá, A., Sastre, I., & Moncecchi, G. (2025). Overview of TA1C at IberLEF 2025: Detecting and Spoiling Clickbait in Spanish-Language News. Proces. del Leng. Natural, 75, 523-535. https://sites.google.com/view/iberlef-2025/proceedings
Moreno-Bernal, P., Nesmachnow, S., Torres-Aguilar, C., Obraum, O. (2025). Evolutionary Algorithm Approach for Exploring Spatial Alternative Paths for a Corridor Location. En: Rossit, D., Torres-Aguilar, C.E., Toncovich, A.A. (eds). Advancements in Optimization and Nature-Inspired Computing for Solutions in Contemporary Engineering Challenges. Springer Tracts in Nature-Inspired Computing. Springer, Singapore. https://doi.org/10.1007/978-981-96-0706-85
Nesmachnow, S. (2025). Multiobjective Evolutionary Approach for Flight Planning of an Autonomous Fleet of Unmanned Aerial Vehicles in Exploration and Surveillance Missions. En: Rossit, D., Torres-Aguilar, C.E., Toncovich, A.A. (eds). Advancements in Optimization and Nature-Inspired Computing for Solutions in Contemporary Engineering Challenges. Springer Tracts in Nature-Inspired Computing. Springer, Singapore. https://doi.org/10.1007/978-981-96-0706-8_2
Nesmachnow, S., & Hernández Callejo, L. (Eds.). (2025). Smart cities: 7Th Ibero-American congress, ICSC-CITIES 2024, San Carlos, Costa Rica, November 12-14, 2024, revised selected papers. Springer International Publishing.
https://doi.org/10.1007/978-3-031-85324-1
Nesmachnow, S. & Hernández-Callejo, L. (2025). The Urban Agenda. Urban Science, 9(12), 500. https://doi.org/10.3390/urbansci9120500
Nesmachnow, S., & Risso, C. (2025). Neural networks for wind power generation forecasting in Uruguay. Renewable Energies, 3(2). https://doi.org/10.1177/27533735251363415
Nesmachnow, S., Rossit, D., & Moreno-Bernal, P. (2025). A Literature Review of Recent Advances on Innovative Computational Tools for Waste Management in Smart Cities. Urban Science, 9(1), 16. https://doi.org/10.3390/urbansci9010016
Pizard, S., Lezama, J., García, R., Vallespir, D., & Kitchenham, B. (2025). Using rapid reviews to support software engineering practice: a systematic review and a replication study. Empirical Software Engineer, 30(1). https://doi.org/10.1007/s10664-024-10545-6
Richart, M., Gorricho, J.-L., Baliosian, J., Contreras, L. M., Muñiz, A., & Serrat, J. (2025). LQ-GNN: A graph neural network model for response time prediction of microservice-based applications in the computing continuum. IEEE transactions on parallel and distributed systems, 36(12), 2566–2577. https://doi.org/10.1109/tpds.2025.3564214
Romero, P. (2025). Characterization of locally most split reliable graphs. Theoretical Computer Science, 1047(115327), 115327. https://doi.org/10.1016/j.tcs.2025.115327
Ruggia, R. & McClanahan, S. (2025). Global Social security developments and trends. International Social Security Association (ISSA). https://www.issa.int/html/developments-trends-Global2025/
Solsona, J. E., & Nesmachnow, S. (2025). Empirical evaluation of parallel implementations of MergeSort. Avances en Ciencias e Ingeniería, 17(1). https://doi.org/10.18272/n726bk61
Tchernykh, A., Juárez-Ramírez, R., Fernández-y-Fernández, C. A., Mocskos, E., & Nesmachnow, S. (2025). Guest editorial special issue: “advanced computing paradigms: Innovations and future directions”. Programming and Computer Software, 51(8), 521–523. https://doi.org/10.1134/s0361768825700392
Torres, A. I., Ferreira, J., & Pedemonte, M. (2025). Machine learning and process systems engineering for sustainable chemical processes–A short review. Current Opinion in Green and Sustainable Chemistry, 51(100982), 100982. https://doi.org/10.1016/j.cogsc.2024.100982
Torres-Aguilar, C., Moreno, P., Rossit, D., Nesmachnow, S., Aguilar-Castro, K. M., Macias-Melo, E. V., & Hernández-Callejo, L. (2025). Forecasting performance indicators of a single-channel solar chimney using artificial neural networks. Computer Modeling in Engineering & Sciences, 145(3), 3859–3881. https://doi.org/10.32604/cmes.2025.069996
Torterolo-Silva, G., & Motz, R. (2025). Datos abiertos en investigación educativa: ¿cumplen los repositorios su función? Revista latinoamericana de tecnología educativa, 24(2), 123–137. https://doi.org/10.17398/1695-288x.24.2.123
Universidad de la República (Uruguay). Facultad de Ingeniería. Instituto de Computación. (2025). Actas de las Jornadas Uruguayas de Ciencias de la Computación 2024 “Jorge Vidart”. Udelar. FI. INCO : CES. https://www.colibri.udelar.edu.uy/jspui/handle/20.500.12008/48434
Vidal, L., Piñeyro, P., & Viera, O. (2025). The integrated lot-sizing problem of production, remanufacturing and transportation, considering recovery targets. Journal of Remanufacturing, 15(1), 127–149. https://doi.org/10.1007/s13243-025-00150-1
PUBLICACIÓN DE TRABAJOS PRESENTADOS EN CONGRESOS Y EVENTOS
2026
Aguerre, J.P. (2026). Fast sampling of dynamic 360o environment maps using video codec metadata. Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Posters, 1–3. https://doi.org/10.1145/3799825.3818742
Alberro, L., Richart, M., & Grampin, E. (2026). INTFusion: Unifying network and host telemetry in data center networks. 2026 IFIP Networking Conference (IFIP Networking), 1–9. https://doi.org/10.23919/IFIPNetworking70592.2026.11579160
Alvarez, J. I., Rossit, D. A., & Piñeyro, P. (2026). Evaluating the impact of multiple speeds for production and remanufacturing on simultaneous lot-sizing and scheduling problems. En: Lecture Notes in Production Engineering (pp. 50–56). Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-19656-9
Bakala, E., Tejera, G., Hourcade, J.P. (2026). From Prototype to the Classroom: Iterative Development of Conditionals in Early Childhood Robotics. En: Ardito, C., et al. Human-Computer Interaction – INTERACT 2025. INTERACT 2025. Lecture Notes in Computer Science, vol 16109. Springer, Cham. https://doi.org/10.1007/978-3-032-05002-1_23
Berger, G., Uslenghi, F., Dufrechou, E., & Ezzatti, P. (2026). Implementation of the Sylvester equation for HODLR and HALR $$\mathcal H$$-matrices. En: Communications in Computer and Information Science (pp. 15–28).
https://doi.org/10.1007/978-3-032-06336-6_2
Buero, N., Tomás, J., Rossit, D., & Nesmachnow, S. (2026). Evolutionary algorithms for the optimization of irrigation systems. En: Communications in Computer and Information Science (pp. 195–210). Springer Nature Switzerland.
https://doi.org/10.1007/978-3-032-19019-2_14
Carballal, J. P., Maestrone, J. P., Olivera, M., López, A., Pirotto, J., Carbajal, G., Benavides, F., & Canetti, R. (2026). A hierarchical selection of instance segmentation models for wind turbine blade defect detection. 2026 IEEE International Conference on Industrial Technology (ICIT), 1–6. https://doi.org/10.1109/icit64854.2026.11491076
Cardozo, J., & Nesmachnow, S. (2026). Neural Networks for Modeling and Predicting Pollution in Urban Environments. En: Nesmachnow, S., Hernández Callejo, L. (eds) Smart Cities. ICSC-CITIES 2025. Communications in Computer and Information Science, vol 2742. Springer, Cham. https://doi.org/10.1007/978-3-032-19019-2
Castro, S., Chiruzzo, L., Góngora, S., Deng, N., Rahili, S., Sastre, I., Rosá, A., Amoroso, V., Rey, G., Moncecchi, G., Meaney, J. A., Prada, J. J., & Mihalcea, R. (2026). SemEval-2026 task 1: MWAHAHA, models write automatic humor and humans annotate. Proceedings of the 20th International Workshop on Semantic Evaluation (2026), 3797–3822. https://doi.org/10.18653/v1/2026.semeval-1.454
De León, J., Serra, F., & Marotta, A. (2027). Context-aware data quality management in data lakes. En: Lecture Notes in Computer Science (pp. 100–115). Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-34896-8_9
De León, F., Pardo, A., & Viera, M. (2026). Verifying the functional correctness of Braun trees with LiquidHaskell. En: Lecture Notes in Computer Science (pp. 51–70). Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-27340-6_4
Gestal, S., López de Haro, S., Rossit, D., & Nesmachnow, S. (2026). A multiobjective evolutionary algorithm for the bus stops location problem: Optimizing demand coverage, travel times, and operational costs. En: Communications in Computer and Information Science (pp. 226–239). Springer Nature Switzerland.
https://doi.org/10.1007/978-3-032-19019-2_16
Giaccio, R., Gerolami, E., Calegari, D., & Delgado, A. (2026). Structured evaluation of robotic process automation (RPA) tools. En: Lecture Notes in Business Information Processing (pp. 139–154). Springer Nature Switzerland.
https://doi.org/10.1007/978-3-032-13426-4_11
Góngora, S., Chiruzzo, L., Méndez, G., & Gervás, P. (2026). World-state transformations for neuro-symbolic Interactive Storytelling. En: arXiv [cs.CL]. https://doi.org/10.48550/arXiv.2605.24719
Herrera, G., Rosá, A., & Chiruzzo, L. (2026). Exploration of sentence representations in Spanish BERT-like models. Proceedings of the Language Resources and Evaluation Conference, 55–65. https://doi.org/10.63317/5moein87oxiw
Inglés, L., Neto, L. A., Rattaro, C., Morvan, M., Castro, A., & Nuaymi, L. (2026). AI Learns G-PON: Toward Adaptive T-CONT Configuration for Fixed-mobile Convergence. 2026 Optical Fiber Communications Conference and Exhibition (OFC), (pp. 1-3). https://ieeexplore.ieee.org/document/11524398
Inglés, L., Neto, L. A., Rattaro, C., Morvan, M., Castro, A., & Nuaymi, L. (2026a). Autonomous Intent-driven Optimization of PONs: A Vendor-agnostic DRL Demonstration. 2026 Optical Fiber Communications Conference and Exhibition (OFC), (pp. 1-3). https://ieeexplore.ieee.org/document/11524923
Irurtia, M., Irurtia, S., Porteiro, R., & Nesmachnow, S. (2026). Reinforcement learning for short-term battery dispatch in renewable-thermal power systems. En: Selected Proceedings of the Energy Track of VIII Ibero-American Congress of Smart Cities, ICSC-CITIES 2025, 10–12 November, Puebla, Mexico (pp. 379–394). Springer Nature Singapore. https://doi.org/10.1007/978-981-95-7302-8_24
Jorcín, R., Delgado, A., & Calegari, D. (2026). Robotic process automation (RPA) and agents with BPMS to increase autonomous capability and operational improvement in organizations: a practical assessment. En: Anais do XXIX Congresso Ibero-Americano em Engenharia de Software (pp. 456-457). Porto Alegre: SBC. https://doi:10.5753/cibse.2026.42480
Locatelli, F., Nesmachnow, S., & López-Vázquez, C. (2026). A neural network approach for super-resolution of a digital elevation model. En: Communications in Computer and Information Science (pp. 390–402). Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-19019-2_27
Massobrio, R., Nesmachnow, S., Toutouh, J., & Pérez, S. (2026). Evolutionary approach for sewer network design under the condominial model. En: Lecture Notes in Computer Science (pp. 39–54). Springer Nature Switzerland.
https://doi.org/10.1007/978-3-032-23607-43
Mauttone, A., Dornel, M., & Erlichman, N. (2026). Secondary level bus network design: new method and case study. Transportation Research Procedia, 95, 496–503. https://doi.org/10.1016/j.trpro.2026.02.063
Mayr, C. (2026). Data-driven decision-making in K-12 institutional management: A case study. Proceedings of the 24th LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI). https://dx.doi.org/10.18687/LACCEI2026.1.1.2261
Moraes, A., Gil, F., Tift, W., Tansini, L., & Motz, R. (2026). Designing LLM-based educational chatbots with pedagogical grounding. En: Lecture Notes in Educational Technology (pp. 355–369). Springer Nature Singapore.
https://doi.org/10.1007/978-981-95-7580-0_27
Moreno, P., Hernández Callejo, L., Nesmachnow, S., Rossit, D., Torres Aguilar, C. E., & Escamilla-Ambrosio, P. J. (2026). Proceedings of the VIII Ibero-American Congress of Smart Cities ICSC-CITIES 2025. https://doi.org/10.5281/ZENODO.18341299
Muraña, J., & Nesmachnow, S. (2026a). Lightweight energy consumption models for high performance computing. En: Selected Proceedings of the Energy Track of VIII Ibero-American Congress of Smart Cities, ICSC-CITIES 2025, 10–12 November, Puebla, Mexico (pp. 19–38). Springer Nature Singapore.
https://doi.org/10.1007/978-981-95-7302-8_2
Pedroza-Perez, D. D., Luque, G., Nesmachnow, S., & Toutouh, J. (2026). Robust multi-objective optimization for bicycle rebalancing in shared mobility systems. Proceedings of the Genetic and Evolutionary Computation Conference, 1182–1190. https://doi.org/10.1145/3795095.3805158
Pertusso, P., Pou, M., Vilaseca, F., Castro, A., & Gorgoglione, A. (2026). Machine learning-based simulation of monthly water quality in the Santa lucía Chico river basin. En: Lecture Notes in Civil Engineering (pp. 467–473). Springer Nature Singapore. https://doi.org/10.1007/978-981-95-1818-0_47
Pertusso, P., Pou, M., Vilaseca, F., Castro, A., & Gorgoglione, A. (2026b). Simulating dissolved oxygen concentrations at the watershed scale: A machine learning approach with physical constraints. En: Lecture Notes in Computer Science (pp. 319–334). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-97617-9_21
Pizard, S., Moreira, R., Galiano, F., Sastre, I., & Etcheverry, L. (2026). On the use of large language models for qualitative synthesis. Proceedings of the 2026 IEEE/ACM International Workshop on Methodological Issues with Empirical Studies in Software Engineering, 9–16. https://doi.org/10.1145/3786149.3788299
Robaina, S., Rosá, A., & Chiruzzo, L. (2026). RETUYT-INCO at BEA 2026 shared task 1: Feature-enriched mDeBERTa for word difficulty prediction. Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026), 1113–1118. https://doi.org/10.18653/v1/2026.bea-1.79
Rossit, D., Peralta-Abarca, J., Insfran-Rivarola, A., Moreno, P., Arévalos, A., Rossit, D., & Nesmachnow, S. (2026). A machine-learning aid model for estimating lean manufacturing implementation. Proceedings of the VIII Ibero-American Congress of Smart Cities ICSC-CITIES 2025; 430. https://doi.org/10.5281/zenodo.18341299
Sastre, I., & Rosá, A. (2026). Concept Tokens: Learning behavioral embeddings through concept definitions. Findings of the Association for Computational Linguistics: ACL 2026. https://doi.org/10.48550/arXiv.2601.04465
Sastre, I., Remersaro, I., Díaz, F., De Horta, N., Chiruzzo, L., Rosá, A., & Góngora, S. (2026). RETUYT-INCO at BEA 2026 shared task 2: Meta-prompting in rubric-based scoring for German. Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026), 1235–1243. https://doi.org/10.18653/v1/2026.bea-1.91
Seveso, F., Dufrechou, E., & Ezzatti, P. (2026). GPU synchronization-free multicolor DILU for Nvidia AmgX library. 2026 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 453–462. https://doi.org/10.1109/IPDPSW71298.2026.00079
Soldavini, M., Rossit, D., & Nesmachnow, S. (2026). Scheduling the use of electric appliances in a simulated smart home with solar power generation. Proceedings for XXXVIII ENDIO - XXXVI EPIO. https://epio.org.ar/anales-de-los-encuentros/
Torres-Aguilar, C., Rossit, D., Moreno, P., Nesmachnow, S., Aguilar-Castro, K. M., & Macias-Melo, E. V. (2026). Optimizing solar chimney configuration considering cost, quality of service and carbon footprint. En: Selected Proceedings of the Energy Track of VIII Ibero-American Congress of Smart Cities, ICSC-CITIES 2025, 10–12 November, Puebla, Mexico (pp. 39–54). Springer Nature Singapore. https://doi.org/10.1007/978-981-95-7302-83
Vargas-Solar, G., Costa, U., Darmont, J., Espinosa-Oviedo, J. A., Hara, C., Loudcher, S., Motz, R., Musicante, M. A., & Zechinelli-Martini, J.-L. (2026). Experiversum: An environment for curating data-driven experimental sciences. En: Communications in Computer and Information Science (pp. 98–107). Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-05727-3_10
Vaucher, M., Silveira, S., Gόngora, S., & Chiruzzo, L. (2026). IVIE: A neuro-symbolic approach to incremental and validated generation of Interactive Fiction worlds. En: arXiv [cs.CL]. https://doi.org/10.48550/arXiv.2606.13348
Viera, D., Rossit, D., Nesmachnow, S., & Risso, C. (2026). Bi-objective optimization for task assignment with multi-skilled workers under deadline constraints in IT service companies. En: Communications in Computer and Information Science (pp. 346–360). Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-19019-2_24
2025
Abdo, F., Carrau, P., & Mayr, C. (2025). RAM freezer: A portable system for volatile memory acquisition in computer forensics investigations. 2025 LI Latin American Computer Conference (CLEI), 1–9. https://doi.org/10.1109/CLEI67442.2025.11420546
Acosta, C., Centanaro, B., Tapia, M., & Benavides, F. (2025). Wind turbine inspection: An autonomous UAV-based approach. 2025 IEEE International Conference on Advanced Robotics (ICAR), 562–569. https://doi.org/10.1109/icar65334.2025.11338636
Antunes, L., Delgado, A., & González, L. (2025). Process Mining for e-Government collaborative processes choreography: a case study. Process Mining Workshops. ICPM 2025 International Workshops.
https://pros.unicam.it/cominds/assets/papers/FULL-ICPM_2025_paper_222.pdf
Bakala, E., Pires, A. C., Gerosa, A., Tejera, G., & Hourcade, J. P. (2025). Moving beyond stereotypes: How kindergarten robotics activities shape children’s imaginaries about robots. Proceedings of the 24th Interaction Design and Children, 672–683. https://doi.org/10.1145/3713043.3727058
Bakala, E., Tejera, G., & Hourcade, J. P. (2025). Robotito Test in Practice: A Classroom Evaluation. Proceedings of the 24th Interaction Design and Children, 1027–1038. https://doi.org/10.1145/3713043.3731526
Berger, G., Dufrechou, E., & Ezzatti, P. (2025). Load-balanced SpMV kernel for the bmSparse matrix format. 2025 33rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), 196– 203. https://doi.org/10.1109/PDP66500.2025.00034
Berois, M., de Oliveira, L., Gastelú, E., Trinidad, G., & Tejera, G. (2025). Development of an autonomous hexapod robot for ant trail following. 2025 IEEE International Conference on Advanced Robotics (ICAR), 233–238. https://doi.org/10.1109/icar65334.2025.11338722
Blanco, P. , Betarte, G., Luna, C., & Molina, M.F. (2025). Digital Academic Certification with Blockchain: A Secure, Privacy-Preserving Prototype Using Hyperledger Fabric. Proceedings of the 14th Latin-American Symposium on Dependable Computing. https://ladc.sbc.org.br/2025/attending-ladc/
Buero, N., Maglione, R., Simoncelli, A., Etcheverry, L., & Marotta, A. (2025). Facilitating open data discovery and exploration: A case study on Uruguay’s open data catalog. 2025 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON), 1–7. https://doi.org/10.1109/chilecon66915.2025.11476569
Busca, R., Nater, V., Ibañez, M., Cervetti, S., & Andrade, F. (2025). Electromyographic Signals for Controlling an Electric Wheelchair: Interface Development and Control Strategies . En: Actas de las Jornadas Uruguayas de Ciencias de la Computación 2024 "Jorge Vidart", 32-46. https://hdl.handle.net/20.500.12008/48434
Cagnazzo, C. M., Mayr, C., & Risso, C. (2025). A short survey and brief tutorial on the state of the art in internet routing security. 2025 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON), 1–8. https://doi.org/10.1109/CHILECON66915.2025.11476436
Cardozo, J., & Nesmachnow, S. (2025). Redes neuronales para modelado y predicción de polución en entornos urbanos. En: Actas de las II Jornadas Uruguayas de Ciencias de la Computación 2025, 23-28. https://hdl.handle.net/20.500.12008/53534
Caro, F., Rossit, D., Santiviago, C., Ferreira, J., Nesmachnow, S. (2025). Multi-objective Optimization for the Operation of a Physicochemical Phosphorus Removal System. En: Nesmachnow, S., Hernández Callejo, L. (eds), Smart Cities. ICSC-CITIES 2024. Communications in Computer and Information Science, vol 2394. Springer, Cham. https://doi.org/10.1007/978-3-031-85324-1_13
Carrasco, L., Torres, S., Nesmachnow, S., & Rossit, D. (2025). A multiobjective evolutionary algorithm for the crop rotation planning problem. 2025 6th International Conference on Data Analytics for Business and Industry (ICDABI), 1–5. https://doi.org/10.1109/ICDABI67967.2025.11547595
Casali, A, Deco, C, Bongiovani, P, Motz, R y Oliveira Lucas, E. (2025.). RED DAI : Curaduría y gestión de datos abiertos de investigación : Una mirada desde el aporte de la educación superior latinoamericana a la ciencia abierta. En: XXVII Workshop de Investigadores en Ciencias de la Computación, Mendoza, Argentina, 10-11 abr. 2025, pp. 605-609. https://www.colibri.udelar.edu.uy/jspui/handle/20.500.12008/52912
Castelli Ottati, R., Viscardi, I., & Nesmachnow, S. (2025). High performance computing for auto supervised machine learning training: Parallel-distributed implementation of the Word2Vec algorithm for training word embeddings. Communications in Computer and Information Science, 36–51. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-80084-9_3 
Dai, Z., Manitto, M., Chiruzzo, L., & Rosá, A. (2025). Error detection and correction for English learners using neural models. 2025 44th International Conference of the Chilean Computer Science Society (SCCC), 1–6. https://doi.org/10.1109/SCCC67219.2025.11420345
Díaz, S., Delgado, A., & Calegari, D. (2025). Trajecta: a model-driven approach for curricular analysis with Process Mining. Doctoral Consortium and Demo Track 2025 at the International Conference on Process Mining 2025 co-located with the 7th International Conference on Process Mining (ICPM 2025). https://ceur-ws.org/Vol-4088/paper_254.pdf
Escobar, N., Pereira, L., Piñeyro, P., Tansini, L., & Testuri, C. (2025). A taxonomy of travel time prediction models. 2025 LI Latin American Computer Conference (CLEI), 1–4. https://doi.org/10.1109/CLEI67442.2025.11420805
Etcheverry, L., & Katzenstein, M. (2025). FAIR and Quality-Aware Air Quality Data Management: A Knowledge Graph-Based Approach. 3rd International Workshop on Knowledge Graphs for Sustainability (KG4S 2025). https://ceur-ws.org/Vol-4002/
Ferrari, F., Nesmachnow, S., & Toutouh, J. (2025). Algoritmo evolutivo y redes generativas antagónicas para mejorar la clasificación de conjuntos de datos parcialmente etiquetados. En: Actas de las II Jornadas Uruguayas de Ciencias de la Computación 2025, 36-39. https://hdl.handle.net/20.500.12008/53534
Filipponi, F., Lorenzo, J.P., Locatelli, F., & Nesmachnow, S. (2025). Algoritmo evolutivo multiobjetivo para diseñar redes de distribución de contenido en la nube. En: Actas de las Jornadas Uruguayas de Ciencias de la Computación 2024 "Jorge Vidart", 1-4. https://hdl.handle.net/20.500.12008/48434
Filipponi, F., Lorenzo, J.P., Locatelli, F., & Nesmachnow, S. (2025a). Redes Neuronales Generativas Adversarias para Superresolución de Modelos Digitales de Elevación. En: Actas de las Jornadas Uruguayas de Ciencias de la Computación 2024 "Jorge Vidart", 22-26. https://hdl.handle.net/20.500.12008/48434
Freire, M., Dufrechou, E., & Ezzatti, P. (2025). A synchronization-free incomplete LU factorization for GPUs with level-set analysis. 2025 33rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), 217–225.
https://doi.org/10.1109/PDP66500.2025.00037
Freire, M., Soboredo, E., & Pedemonte, M. (2025). Designing higher education exam schedules with multiobjective evolutionary algorithms. 2025 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 1–6. https://doi.org/10.1109/LA-CCI66231.2025.11270432
Garat, D., Moncecchi, G., & Wonsever, D. (2025). In-context learning for frame-semantic parsing. 2025 3rd International Conference on Foundation and Large Language Models (FLLM), 629–635. https://doi.org/10.1109/FLLM67465.2025.11390933
Góngora, S., Sastre, I., Robaina, S., Remersaro, I., Chiruzzo, L., & Rosá, A. (2025). RETUYT-INCO at BEA 2025 shared task: How far can lightweight models go in AI-powered tutor evaluation? En E. Kochmar, B. Alhafni, M. Bexte, J. Burstein, A. Horbach, R. Laarmann-Quante, A. Tack, V. Yaneva, & Z. Yuan (Eds.), Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025), 1135–1144. Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.bea-1.89
González-Barba, J. Á., Chiruzzo, L., & Jiménez-Zafra, S. M. (2025). Overview of IberLEF 2025: Natural Language Processing Challenges for Spanish and other Iberian Languages. En: Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2025), co-located with the 41st Conference of the Spanish Society for Natural Language Processing (SEPLN 2025), CEUR-WS. org (pp. 1-14). https://ceur-ws.org/Vol-4098/overview.pdf
González Petti, L., Retali, Á , & Nesmachnow, S. (2025). Redes neuronales basadas en operadores neuronales profundos para la construcción de modelos subrogados aplicados a la detección de daño por heladas agrometeorológicas. En: Actas de las II Jornadas Uruguayas de Ciencias de la Computación 2025, 47-50. https://hdl.handle.net/20.500.12008/53534
Goñi, G., & Nesmachnow, S. (2025).Algoritmo evolutivo multiobjetivo para diseñar redes de distribución de contenido en la nube. En: Actas de las Jornadas Uruguayas de Ciencias de la Computación 2024 "Jorge Vidart", 1-3. https://hdl.handle.net/20.500.12008/48434
Goñi, G., Nesmachnow, S., & Chernykh, A. (2025). Design of content distribution networks for smart cities. En: Communications in Computer and Information Science (pp. 272–286). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-85324-1_20
Gordienko, R., Díaz, M., Ferreira, J., & Pedemonte, M. (2025). Shape-constrained hybrid deep learning–genetic programming algorithm for symbolic regression. 2025 LI Latin American Computer Conference (CLEI), 1–10. https://doi.org/10.1109/CLEI67442.2025.11420710
Hourcade, J. P., Suárez, C., Vázquez, E., Bakala, E., Gerosa, A., & Currin, F. H. (2025). Stories and voice agents to support social roleplay for preschool children. Proceedings of the ACM on Human-Computer Interaction, 9(7), 1–29. https://doi.org/10.1145/3757506
Inglés, L., Neto, L. A., Rattaro, C., Morvan, M., Castro, A., & Nuaymi, L. (2025). PON physical twin: Enabling third-party research on FTTH optimization with open datasets. 2025 European Conference on Optical Communications (ECOC), 1–4. https://doi.org/10.1109/ECOC66593.2025.11263387
Inglés, L., Neto, L. A., Rattaro, C., Morvan, M., Castro, A., & Nuaymi, L. (2025a). Experimental demonstration of demand-driven PON configuration for fixed-mobile convergence. 2025 European Conference on Optical Communications (ECOC), 1–4. https://doi.org/10.1109/ECOC66593.2025.11262964
Lartigau, B., & Luna, C. (2025). Formal specification of a consent model for personal data access control. 2025 LI Latin American Computer Conference (CLEI), 1–10. https://doi.org/10.1109/CLEI67442.2025.11420482
Llambías, G., González, L., & Ruggia, R. (2025). An Approach to Formalise Blockchain Interoperability Patterns. TechRxiv. https://doi.org/10.36227/techrxiv.174900640.07707145/v1
Llambías, G., Rosa-Bilbao, J., Boubeta-Puig, J., & González, L. (2025). Extending EDALoCo to Support the Development of Enterprise Blockchain-based Applications Following a Low-code Approach. En: Actas de las Jornadas Uruguayas de Ciencias de la Computación 2024 "Jorge Vidart", 29-31. https://hdl.handle.net/20.500.12008/48434
Luna, C., Otegui, X., Pratto, M., Alessandrini, D., & Fernández, F. (2025). Classroom attendance and academic performance in first-year courses in a computer engineering degree: Examining the post-COVID-19 pandemic context. Lecture Notes in Educational Technology, 63–77. Springer Nature Singapore.
https://link.springer.com/chapter/10.1007/978-981-96-3698-35
Macedo, J. N., Viera, M., & Saraiva, J. (2025). Property-based testing of attribute grammars. Proceedings of the 18th ACM SIGPLAN International Conference on Software Language Engineering, 16–29.https://doi.org/10.1145/3732771.3742710
Mazzeo, A., Mazzeo, M., & Nesmachnow, S. (2025). Redes neuronales generativas antagónicas para mejorar la calidad de sistemas de identificación facial. En: Actas de las II Jornadas Uruguayas de Ciencias de la Computación 2025, 44-46. https://hdl.handle.net/20.500.12008/53534
Mihalcea, R., Ignat, O., Bai, L., Borah, A., Chiruzzo, L., Jin, Z., Kwizera, C., Nwatu, J., Poria, S., & Solorio, T. (2025). Why AI is WEIRD and shouldn’t be this way: Towards AI for everyone, with everyone, by everyone. Proceedings of the AAAI Conference on Artificial Intelligence, 39(27), 28657–28670. https://doi.org/10.1609/aaai.v39i27.35092
Molina, M. F., Betarte, G., & Luna, C. (2025). A comparative study of implementations for validating consent in personal data access control. 2025 LI Latin American Computer Conference (CLEI), 1–10. https://doi.org/10.1109/CLEI67442.2025.11420618
Mordecki, G., Moncecchi, G., Couto, J. (2025). Te Ahorré Un Click: A Revised Definition of Clickbait and Detection in Spanish News. En: Correia, L., Rosá, A., Garijo, F. (eds) Advances in Artificial Intelligence – IBERAMIA 2024. IBERAMIA 2024. Lecture Notes in Computer Science, vol 15277. Springer, Cham. https://doi.org/10.1007/978-3-031-80366-6_32
Muraña, J., & Nesmachnow, S. (2025). WGAN para aumentar datos de consumo de energía de nodos de cómputo de alto desempeño. En: Actas de las Jornadas Uruguayas de Ciencias de la Computación 2024 "Jorge Vidart", 47-49. https://hdl.handle.net/20.500.12008/48434
Navarro, J., Castro, A., & Rattaro, C. (2025). O-RAN testbeds: From experimental deployments to simulation frameworks. 2025 13th Wireless Days Conference (WD), 1–7. https://doi.org/10.1007/978-3-031-97617-9_21
Nesmachnow, S., & Moreno, P. (2025). Three-objective evolutionary search of the latent space of Generative Adversarial Networks for human face generation. Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2037–2045. https://doi.org/10.1145/3712255.3734336
Nesmachnow, S., Risso, C. (2025). Wind Power Generation Forecasting: A Real-World Nation-Wide Case Study in Uruguay. En: Rossit, D., Moreno-Bernal, P., Torres-Aguilar, C.E. (eds), Proceedings of the VII Ibero-American Congress of Smart Cities, ICSC-Cities 2024, 12–14 November, San Carlos, Costa Rica. ICSC-CITIES 2024. Springer Proceedings in Energy. Springer, Singapore. https://doi.org/10.1007/978-981-96-4301-1_5
Nesmachnow, S., & Toutouh, J. (2025). Adversarial attacks to image classification systems using evolutionary algorithms. Proceedings of the Genetic and Evolutionary Computation Conference, 434–442. https://doi.org/10.1145/3712256.3726429
Nóbile, A. C., Viscardi, I., Cancela, P., Capdehourat, G., Chiruzzo, L., & Góngora, S. (2025). Automatic assessment of spoken English for Uruguayan Spanish L1 young learners. En: Communications in Computer and Information Science (pp. 184–191). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-99267-4_23
Núñez, A., Forcelledo, M., Nesmachnow, S., & Rossit, D. (2025). Multi-objective software engineering project planning using an evolutionary algorithm. 2025 6th International Conference on Data Analytics for Business and Industry (ICDABI), 300–304. https://doi.org/10.1109/ICDABI67967.2025.11547666
Pandolfi, S., Llambías, G., & González, L. (2025). Blockchain interoperability for environmental indicators: A rapid review. 2025 7th International Conference on Blockchain Computing and Applications (BCCA), 857–866. https://doi.org/10.1109/BCCA66705.2025.11229811
Pereyra, S., & Mayr, C. (2025). FloodGuardian: A LoRa-based early flood warning system for river basins. 2025 IEEE Global Humanitarian Technology Conference (GHTC), 116–123. https://doi.org/10.1109/GHTC66843.2025.11266348
Pizard, S., & Marenco, L. (2025). Using real-world scenarios to bridge training and practice in evidence-Based Software Engineering. Conferencia Iberoamericana de Software Engineering. https://doi.org/10.5753/cibse.2025.35288
Porta, M., Etcheverry, N., Peláez, S., & Motz, R. (2025). Supporting course design in higher education: The DYC tool. 2025 International Symposium on Computers in Education (SIIE), 1–6. https://doi.org/10.1109/SIIE68580.2025.11368383
Quintana, P., & Cancela, H. (2025). Applying DEA techniques to analyze the efficiency of Uruguayan SMEs. XV Congreso Chileno de investigación operativa – Optima 2025. https://doi.org/10.82218/OPTIMA2025
Rementeriá, L., Tchernykh, A., & Nesmachnow, S. (2025). Multi-objective vehicle routing problem with time windows and service restrictions. Proceedings of the VIII Ibero-American Congress of Smart Cities ICSC-CITIES 2025. https://doi.org/10.5281/ZENODO.18341300
Risso, C., Nesmachnow, S., Porteiro, R., Mario Vignolo, J., Sierra, E., Ibarburu, M. (2025). A Mixed Combinatorial Optimization Model for the Río Negro Hydroelectric Complex. En: Rossit, D., Moreno-Bernal, P., Torres-Aguilar, C.E. (eds), Proceedings of the VII Ibero-American Congress of Smart Cities, ICSC-Cities 2024, 12–14 November, San Carlos, Costa Rica. ICSC-CITIES 2024. Springer Proceedings in Energy. Springer, Singapore. https://doi.org/10.1007/978-981-96-4301-1_27
Rodriguez, N., Pardo, A., & Viera, M. (2025). Representing data structures with invariants in Haskell: The cases of BST and AVL. Proceedings of the 10th ACM SIGPLAN International Workshop on Type-Driven Development, 26–38. https://doi.org/10.1145/3759538.3759652
Rohrer, E., Motz, R., Sandín, J.P., Méndez, E., & Fleitas, F. (2025). Domain Ontology for Grounded Theory Qualitative Research: Bridging Interpretation and Structure in Digital Humanities. Proceedings of the Joint Ontology Workshops (JOWO) - Episode XI: The Sicilian Summer under the Etna, co-located with the 15th International Conference on Formal Ontology in Information Systems (FOIS 2025). https://ceur-ws.org/Vol-4176/swodch-8.pdf
Romero, P. (2025a). There are Finitely Many Uniformly Most Reliable Graphs of Corank 5. En: Gaur, D., Mathew, R. (eds), Algorithms and Discrete Applied Mathematics. CALDAM 2025. Lecture Notes in Computer Science, vol 15536. Springer, Cham. https://doi.org/10.1007/978-3-031-83438-7_24
Romero, P. (2025b). An Algebraic Characterization of Strong Graphs. En: Gaur, D., Mathew, R. (eds) Algorithms and Discrete Applied Mathematics. CALDAM 2025. Lecture Notes in Computer Science, vol 15536. Springer, Cham. https://doi.org/10.1007/978-3-031-83438-7_23
Romero, P. (2025c). Most reliable two-terminal graphs with distance constraints. Procedia Computer Science, 273, 185–192. https://doi.org/10.1016/j.procs.2025.10.297
Romero, P., & Petingi, L. (2025). Construction of infinitely many trace-minimal graphs with maximum number of spanning trees. Procedia Computer Science, 273, 177–184. https://doi.org/10.1016/j.procs.2025.10.296
Rosenthal, S., Rosá, A., Ghosh, D., & Zampieri, M. (Eds.). (2025). Proceedings of the 19th international workshop on semantic evaluation (SemEval-2025). Association for Computational Linguistics. https://aclanthology.org/2025.semeval-1.0/
Rossit, D., & Nesmachnow, S. (2025). A temporal perspective on optimization for strategic, tactical, and operational decisions in smart cities. En: Actas de las II Jornadas Uruguayas de Ciencias de la Computación 2025, 63-65. https://hdl.handle.net/20.500.12008/53534
Rossit, D., Peralta-Abarca, J., Rossit, D., Isfrán-Rivarola, A., Arévalos, A., Moreno, P., & Nesmachnow, S. (2025). Avances preliminares de un modelo de machine learning para predecir el grado de implementación de lean manufacturing en una organización. Proceedings de la Conferencia Sudamericana de Ingeniería Industrial, de Producción y Mecánica, 106-110. https://bicyt.conicet.gov.ar/fichas/produccion/en/13186456
Rován, E., Monzón, P., Benavides, F. (2025). Sound-Based Parakeets Detection System. En: Correia, L., Rosá, A., Garijo, F. (eds), Advances in Artificial Intelligence – IBERAMIA 2024. IBERAMIA 2024. Lecture Notes in Computer Science, vol 15277. Springer, Cham. https://doi.org/10.1007/978-3-031-80366-6_19
Rubio, M. (2025). Minería de procesos e inteligencia artificial para el diseño, sostenibilidad y mejora de procesos colaborativos. Anais do XXVIII Congresso Ibero-Americano em Engenharia de Software (CIbSE 2025), 312–319. https://doi.org/https://doi.org/10.5753/cibse.2025.35318
Salinas, C. B., Tournier, M. V., Beltramelli, N., Etcheverry, L., & Rosá, A. (2025). Data science in education: Analyzing and mitigating bias from an intersectional perspective. 2025 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON), 1–7. https://doi.org/10.1109/chilecon66915.2025.11475972
Sastre, I., & Rosá, A. (2025). Memory tokens: Large language models can generate reversible sentence embeddings. En: R. Jia, E. Wallace, Y. Huang, T. Pimentel, P. Maini, V. Dankers, J. Wei, & P. Lesci (Eds.), Proceedings of the First Workshop on Large Language Model Memorization (L2M2), 183–189. Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.l2m2-1.14
Sastre, I., Moncecchi, G., & Rosá, A. (2025). Derivation prompting: A logic-based method for improving retrieval-augmented generation. En: Lecture Notes in Computer Science, 412–423. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-80366-6_34
Seveso, F., Dufrechou, E., Ezzatti, P., Usera, G. (2025). Element Scheduling for GPU-Accelerated Finite-Volumes Computations. En: Caino-Lores, S., et al. Euro-Par 2024: Parallel Processing Workshops. Euro-Par 2024. Lecture Notes in Computer Science, vol 15385. Springer, Cham. https://doi.org/10.1007/978-3-031-90200-0_35
Silveira, S., Minacapilli, M., Llofriu, M., & Benavides, F. (2025). Subsumption over ROS2: An implementation faithful to the Brooks theoretical proposal *. 2025 IEEE International Conference on Advanced Robotics (ICAR), 786–791. https://doi.org/10.1109/icar65334.2025.11338612
Sosa, R. (2025). Plataforma para la Gestión de Datos Espaciales y su Aplicación en Gestión en el área Salud. Anais do XXVIII Congresso Ibero-Americano em Engenharia de Software (CIbSE 2025), 320–327. https://doi.org/https://doi.org/10.5753/cibse.2025.35319
Sosa, F., Gutiérrez, M., Mauttone, A., & Piñeyro, P. (2025). Joint modeling of passenger car and freight routes combined with parking choices in congested urban settings. Transportation Research Procedia, 86, 233–240. https://doi.org/10.1016/j.trpro.2025.04.030
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Tansini, L., & Motz, R. (2025). Support tools for hybrid research, EDIGA project. Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 534–541. https://doi.org/10.5220/0013831000004000
Torres-Aguilar, C., Moreno-Bernal, P., Nesmachnow, S., & Rossit, D. (2025). A parallel multi-threading global energy balance for a room thermal analysis in an unsteady state. Communications in Computer and Information Science, 299–314. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-80084-9_20
Torres-Aguilar C., Moreno-Bernal, P., Nesmachnow, S., Aguilar Castro, K., & Macias Melo, E. (2025). Modelado y evaluación de soluciones pasivas en edificaciones para ciudades sostenibles. En: Actas de las II Jornadas Uruguayas de Ciencias de la Computación 2025, 66-70. https://hdl.handle.net/20.500.12008/53534
Torres-Aguilar, C., Moreno-Bernal, P., Nesmachnow, S., Rossit, D., Aguilar-Castro, K., & Macias-Melo, E. (2025). Regression analysis for prediction of solar chimney performance. En: Communications in Computer and Information Science (pp. 229–243). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-85324-1_17
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Trinidad, G., Lisboa, J. V., Lara, B., & Tejera, G. (2025). Improving object grasping through synthetic perception-based pose correction in robotic manipulation. 2025 IEEE International Conference on Development and Learning (ICDL), 1–7. https://doi.org/10.1109/ICDL63968.2025.11204425
Vilaseca, F., Castro, A., Chreties, C., & A. Gorgoglione, A. (2025.) Neural networks for hydrological modelling in Santa Lucía basin. 13th World Congress on Water Resources and Environment - EWRA 2025. 495-496. https://ewra2025.ewra.net/
(*) Se incluyen publicaciones en las que participan uno o más autores con vínculo docente/investigador con el Instituto de Computación. La información fue extraída de CVuy: https://cvuy.uy/
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