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A Probabilistic Model to Predict Household Occupancy Profiles for Home Energy Management Applications.

L. Rueda, S. Sansregret, B. Lostec, K. Agbossou, N. Henao, и S. Kelouwani. IEEE Access, (2021)

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Gorgonio Ruedas Gómez

Werner Luis

Antonio Eusebio Rueda Muñoz

Pia Luislampe

Mathieu Luisier

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A 32-bit RISC-V AXI4-lite bus-based microcontroller with 10-bit SAR ADC.C. Duran, D. Rueda, G. Castillo, A. Agudelo, C. Rojas, L. Chaparro, H. Hurtado, J. Romero, W. Ramirez, H. Gómez и 5 other автор(ы). LASCAS, стр. 315-318. IEEE, (2016)Identification of User Behavioral Biometrics for Authentication Using Keystroke Dynamics and Machine Learning.S. Krishnamoorthy, L. Rueda, S. Saad, и H. Elmiligi. ICBEA, стр. 50-57. ACM, (2018)A New Paradigm for Pattern Classification: Nearest Border Techniques.Y. Li, B. Oommen, A. Ngom, и L. Rueda. Australasian Conference on Artificial Intelligence, том 8272 из Lecture Notes in Computer Science, стр. 441-446. Springer, (2013)Sub-grid and Spot Detection in DNA Microarray Images Using Optimal Multi-level Thresholding.I. Rezaeian, и L. Rueda. PRIB, том 6282 из Lecture Notes in Computer Science, стр. 277-288. Springer, (2010)Microarray Time-Series Data Clustering via Multiple Alignment of Gene Expression Profiles.N. Subhani, A. Ngom, L. Rueda, and C. Burden. PRIB, volume 5780 of Lecture Notes in Computer Science, page 377-390. Springer, (2009)A Computational Domain-Based Feature Grouping Approach for Prediction of Stability of SCF Ligases.M. Maleki, M. Dezfulian, and L. Rueda. IWBBIO (1), volume 9043 of Lecture Notes in Computer Science, page 630-640. Springer, (2015)Prediction of high-throughput protein-protein interactions based on protein sequence information.Y. Li, B. Rezaei, A. Ngom, and L. Rueda. CIBCB, page 1-6. IEEE, (2015)Predicting Breast Cancer Outcome under Different Treatments by Feature Selection Approaches.H. Pham, L. Rueda, and A. Ngom. BCB, page 617. ACM, (2017)A Machine Learning Model for Discovery of Protein Isoforms as Biomarkers.M. Alshehri, I. Rezaeian, A. Alkhateeb, and L. Rueda. BCB, page 474-475. ACM, (2016)Alignment-based versus variation-based transformation methods for clustering microarray time-series data.Y. Li, N. Subhani, A. Ngom, and L. Rueda. BCB, page 53-61. ACM, (2010)