Publicaciones en Revistas:
•Rodrigo Verschae, Ignacio Bugueno, "evTransFER: A Transfer Learning Framework for Event-based Facial Expression Recognition", Neurocomputing, 2026 (WoS, Q1, IF 6.4)
•Rohit Singla, Rodrigo Verschae, Harish Parthasarathy, "Large Deviation-Based Noise Mitigation in Coupled Quantum Robotic Systems", Quantum Information Processing 24, 358 (2025) https://doi.org/10.1007/s11128-025-04982-5 (WoS, Q2, IF 2.2)
•Luis Cossio, Cristobal Quininao, Rodrigo Verschae, "Orchard Sweet Cherry Color Distribution Estimation from Wireless Sensor Networks and Video-based Fruit Detection", Computers and Electronics in Agriculture, 2025 (WoS, Q1, IF 7.7)
•Robert Guaman, Jose Delpiano, Rodrigo Verschae, "Event-based optical flow: method categorisation and review of techniques that leverage deep learning", Neurocomputing, 2025, https://www.sciencedirect.com/science/article/abs/pii/S0925231225005715 (WoS, Q1, IF 6.4)
•Rohit Singla, Rodrigo Verschae, Stefan Escaida, Harish Parthasarathy, "Estimating time-varying delays and parametric uncertainties in teleoperated robots", Nonlinear Dynamics 2024, https://doi.org/10.1007/s11071-024-10602-1 (WoS, Q1, IF 5.2)
•Luis Cossio, Javier Ruiz-del-Solar, Rodrigo Verschae, "Cherry CO Dataset: a dataset for cherry detection, segmentation and maturity recognition", IEEE Robotics and Automation Letters 2024, DOI 10.1109/LRA.2024.3393214 (WoS, Q1, IF 5.2)
•Rodrigo Verschae, Ignacio Bugueno, "Event-based Gesture and Facial Expression Recognition: A Comparative Analysis", in IEEE Access, vol. 11, pp. 121269-121283, 2023, doi: 10.1109/ACCESS.2023.3328220. (WoS, Q1, IF 3.4)
•Guillermo Gil, Daniel Casagrande, Leonardo P. Cortés, Rodrigo Verschae, "Why the low adoption of robotics in the farms? Challenges for the establishment of commercial agricultural robots", Smart Agricultural Technology. 2023;3: 100069 DOI 10.1016/j.atech.2022.100069 (WoS, Q1, IF 6.3)
Publicaciones en Conferencias:
•Ariel Zúñiga-Santana, Gabriele Facciolo, Shohei Nobuhara, Rodrigo Verschae, “A Multi-View Photometric Stereo Pipeline for Specular 3D Fruit Reconstruction”, WACV 2026 Workshop HARVESTVision
•Nicolás Mastropasqua, Ignacio Bugeno-Cordova, Rodrigo Verschae, Daniel Acevedo, Pablo Negri, Maria Elena Buemi, "Event-based facial microexpression analysis using Spiking Neural Networks", ICPRS, 2025
•Nicolás Mastropasqua, Daniel Acevedo, Ignacio Bugueno, Rodrigo Verschae, "Exploring spatial-temporal dynamics in event-based facial microexpression analysis", 2nd Workshop on Neuromorphic Vision ICCV, 2025
•Ignacio Bugueno, Javier Ruiz-del-Solar, Rodrigo Verschae, "Human-Robot Navigation using Event-based Cameras and Reinforcement Learning", ADV Workshop, ICIAP, 2025
•Ignacio Bugueno-Cordova, Jairo Navarrete, Christopher A. Flores and Rodrigo Verschae, "Visualization of Profiles and Trajectories in Early Childhood Math Abilities using Data Mining Techniques", ICETC, 2025
•Ignacio Bugueno, Javier Ruiz-del-Solar, Rodrigo Verschae, "Human-Robot Navigation using Event-based Cameras and Reinforcement Learning", CVPR 2025 Workshop on Event-based Vision, 2025
•Christopher A. Flores, Rodrigo Verschae, "Active Learning in Biomedical Text Classification Using a Bag-of-Regular-Expressions Approach", IEEE CBMS 2025 (IEEE International Symposium on Computer-Based Medical Systems), 2025
•Robert Guaman, Ariel Zuniga-Santana, Rodrigo Verschae, "Assessment of deep learning-based detection algorithms using event camera for construction applications", Proceedings of the 3rd Future of Construction Workshop at the International Conference on Robotics and Automation (ICRA 2024), Pages 5-8, ISSN 2413-5844, DOI https://doi.org/10.22260/ICRA2024/0004 May 2024
•Christopher A. Flores, Ariel I. Valenzuela, Rodrigo Verschae, Active Learning for Image Classification: A Comprehensive Analysis in Agriculture, In: Yang, XS., Sherratt, R.S., Dey, N., Joshi, A. (eds) Proceedings of Ninth International Congress on Information and Communication Technology. ICICT 2024 2024. Lecture Notes in Networks and Systems, vol 1055. Springer, Singapore. https://doi.org/10.1007/978-981-97-5441-0_49
•Christopher. A. Flores, Rodrigo Verschae, “A Hybrid Method for Clinical Text Classification Based on Confident Predictions and Regular Expressions”, ICAIIC 2024, Osaka, Japon
•Ignacio Bugueno-Cordova, Miguel Campusano, Robert Guaman-Rivera, Rodrigo Verschae, (2024). "A Color Event-Based Camera Emulator for Robot Vision". In: Filipe, J., Röning, J. (eds) Robotics, Computer Vision and Intelligent Systems. ROBOVIS 2024. Communications in Computer and Information Science, vol 2077. Springer, Cham. https://doi.org/10.1007/978-3-031-59057-3_24
•Christopher A. Flores, Rodrigo Verschae. ” Combining Regular Expressions and Supervised Algorithms for Clinical Text Classification”, In: Quaresma, P., Camacho, D., Yin, H., Gonçalves, T., Julian, V., Tallón-Ballesteros, A.J. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2023. IDEAL 2023. Lecture Notes in Computer Science, vol 14404. Springer, Cham. https://doi.org/10.1007/978-3-031-48232-8_35
•Jairo A Navarrete-Ulloa, Llery. Ponce Pradenas, Christopher. A. Flores, and Rodrigo Verschae, " An Automated Assessment of Early Math Abilities Based on Digital Games,” 2023 11th International Conference on Information and Education Technology (ICIET), Fujisawa, Japan, 2023, pp. 172-176, doi: 10.1109/ICIET56899.2023.10111319.
