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ORCIDRafael Rosales
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Books and Theses
- 2017
[b1]Rafael Rosales:
Holistic Actor-Oriented Modeling of Embedded Systems for ESL Power Consumption Evaluation (Ganzheitliche Aktor-orientierte Modellierung von eingebetteten Systemen zur Einschätzung des Leistungsverbrauchs auf Systemebene). University of Erlangen-Nuremberg, Germany, 2017
Journal Articles
- 2022
- [j5]Renan Valieris
, Rodrigo D. Drummond, Alexandre Defelicibus, Emmanuel Dias-Neto, Rafael Rosales, Israel T. da Silva:
A mixture model for determining SARS-Cov-2 variant composition in pooled samples. Bioinform. 38(7): 1809-1815 (2022) - 2021
- [j4]Rafael Rosales, Michael Paulitsch:
Composable Finite State Machine-based Modeling for Quality-of-Information-aware Cyber-physical Systems. ACM Trans. Cyber Phys. Syst. 5(2): 13:1-13:27 (2021) - 2017
- [j3]Rafael Rosales, Rodrigo D. Drummond, Renan Valieris, Emmanuel Dias-Neto, Israel T. da Silva:
signeR: an empirical Bayesian approach to mutational signature discovery. Bioinform. 33(1): 8-16 (2017) - 2014
- [j2]Israel T. da Silva, Rafael Rosales, Adriano J. Holanda, Michel C. Nussenzweig, Mila Jankovic:
Identification of chromosomal translocation hotspots via scan statistics. Bioinform. 30(18): 2551-2558 (2014) - [j1]Rafael Rosales, Michael Glaß, Jürgen Teich, Bo Wang, Yang Xu, Ralph Hasholzner:
MAESTRO - Holistic Actor-Oriented Modeling of Nonfunctional Properties and Firmware Behavior for MPSoCs. ACM Trans. Design Autom. Electr. Syst. 19(3): 23:1-23:26 (2014)
Conference and Workshop Papers
- 2024
- [c15]Susruth Sudhakaran, Javier Perez-Ramirez, Dave Cavalcanti, Cosmin Cazan, Nicholas Olson, Rafael Rosales, Valerio Frascolla:
Wireless Network Digital Twin Calibrated by Real Time Telemetry and XR Feedback Interface. WFCS 2024: 1-8 - 2023
- [c14]Syed Sha Qutub, Neslihan Köse Cihangir, Rafael Rosales, Michael Paulitsch, Korbinian Hagn, Florian Geissler, Yang Peng, Gereon Hinz, Alois C. Knoll:
BEA: Revisiting anchor-based object detection DNN using Budding Ensemble Architecture. BMVC 2023: 792-797 - [c13]Rafael Rosales, Pablo Munoz, Michael Paulitsch:
Assessing the Impact of Diversity on the Resilience of Deep Learning Ensembles: A Comparative Study on Model Architecture, Output, Activation, and Attribution. ICCV (Workshops) 2023: 4408-4418 - [c12]Pietro G. Giardina, Péter Szilágyi, Carla-Fabiana Chiasserini, Jose Luis Carcel, Luis Velasco, Salvatore Spadaro, Fernando Agraz, Sebastian Robitzsch, Rafael Rosales, Valerio Frascolla, Roya Doostnejad, Alejandro Calvillo, Giacomo Bernini:
A hierarchical AI-based control plane solution for multi-technology deterministic networks. MobiHoc 2023: 316-321 - 2020
- [c11]Jyotika Athavale, Andrea Baldovin, Ralf Graefe, Michael Paulitsch, Rafael Rosales:
AI and Reliability Trends in Safety-Critical Autonomous Systems on Ground and Air. DSN Workshops 2020: 74-77 - 2018
- [c10]Rafael Rosales, Wael Guibène, German Fabila Garcia:
Actor-Oriented Design Patterns for Performance Modeling of Wireless Communications in Cyber-physical Systems. Q2SWinet@MSWiM 2018: 29-38 - 2016
- [c9]Rafael Rosales, Christian Herglotz, Michael Glaß, André Kaup, Jürgen Teich:
Analysis and Exploitation of CTU-Level Parallelism in the HEVC Mode Decision Process Using Actor-Based Modeling. ARCS 2016: 263-276 - [c8]Bo Wang, Yang Xu, Ralph Hasholzner, Christian Drewes, Rafael Rosales, Sebastian Graf, Joachim Falk, Michael Glaß, Jürgen Teich:
Exploration of Power Domain Partitioning for Application-Specific SoCs in System-Level Design. MBMV 2016: 102-113 - [c7]Christian Herglotz, Rafael Rosales, Michael Glaß, Jürgen Teich, André Kaup:
Multi-objective design space exploration for the optimization of the HEVC mode decision process. PCS 2016: 1-5 - 2014
- [c6]Rafael Rosales, Michael Glaß, Jürgen Teich:
Mahler: Sketch-Based Model-Driven Virtual Prototyping. ARCS 2014: 85-97 - [c5]Bo Wang, Yang Xu, Ralph Hasholzner, Rafael Rosales, Michael Glaß, Jürgen Teich:
End-to-end power estimation for heterogeneous cellular LTE SoCs in early design phases. PATMOS 2014: 1-8 - 2013
- [c4]Yang Xu, Bo Wang, Rafael Rosales, Ralph Hasholzner, Jürgen Teich:
On Confident Task-Accurate Performance Estimation. ARCS 2013: 25-37 - [c3]Yang Xu, Bo Wang, Ralph Hasholzner, Rafael Rosales, Jürgen Teich:
On robust task-accurate performance estimation. DAC 2013: 171:1-171:6 - 2012
- [c2]Yang Xu, Rafael Rosales, Bo Wang, Martin Streubühr, Ralph Hasholzner, Christian Haubelt, Jürgen Teich:
A Very Fast and Quasi-accurate Power-State-Based System-Level Power Modeling Methodology. ARCS 2012: 37-49 - 2011
- [c1]Martin Streubühr, Rafael Rosales, Ralph Hasholzner, Christian Haubelt, Jürgen Teich:
ESL power and performance estimation for heterogeneous MPSOCS using SystemC. FDL 2011: 1-8
Informal and Other Publications
- 2023
- [i3]Rafael Rosales, Peter T. Popov, Michael Paulitsch:
Evaluation of Confidence-based Ensembling in Deep Learning Image Classification. CoRR abs/2303.03185 (2023) - [i2]Rafael Rosales, Pablo Munoz, Michael Paulitsch:
Exploring Resiliency to Natural Image Corruptions in Deep Learning using Design Diversity. CoRR abs/2303.09283 (2023) - [i1]Syed Sha Qutub, Neslihan Kose, Rafael Rosales, Michael Paulitsch, Korbinian Hagn, Florian Geissler, Yang Peng, Gereon Hinz, Alois Knoll:
BEA: Revisiting anchor-based object detection DNN using Budding Ensemble Architecture. CoRR abs/2309.08036 (2023)
Coauthor Index
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