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Miguel E. Figueroa
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2020 – today
- 2024
- [j34]Christian Vega Caicedo
, Elie F. Kfoury, Jose Gomez, Jorge E. Pezoa, Miguel E. Figueroa
Machine learning controller for data rate management in science DMZ networks. Comput. Networks 242: 110237 (2024) - [c39]Carolina Gallardo-Pavesi, Yaime Fernández, Javier E. Soto, Cecilia Hernández, Miguel E. Figueroa:
A Hardware Accelerator for Quantile Estimation of Network Packet Attributes. DSD 2024: 114-121 - 2023
- [j33]Yaime Fernández
A streaming algorithm and hardware accelerator to estimate the empirical entropy of network flows. Comput. Networks 237: 110035 (2023) - [j32]Javier E. Soto, Cecilia Hernández
JACC-FPGA: A hardware accelerator for Jaccard similarity estimation using FPGAs in the cloud. Future Gener. Comput. Syst. 138: 26-42 (2023) - [j31]Bárbaro M. López-Portilla
A CMOS Image Readout Circuit with On-Chip Defective Pixel Detection and Correction. Sensors 23(2): 934 (2023) - [c38]Javier E. Soto, Sofía Vera, Yaime Fernández, Daniel Yunge, Cecilia Hernández, Miguel E. Figueroa:
A Sketch-Based Algorithm for Network-Flow Entropy Estimation on Programmable Switches Using P4. DSD 2023: 79-86 - 2022
- [j30]Yasmany Prieto
Guaranteeing Network Reliability to 0-Day Exploits Using Cost-Effective Heterogeneous Node Migration. IEEE Access 10: 111153-111170 (2022) - [j29]Claudio Román, Cecilia Hernández
Superficial white matter bundle atlas based on hierarchical fiber clustering over probabilistic tractography data. NeuroImage 262: 119550 (2022) - [j28]Juan Felipe González-Saavedra
Survey of Cooperative Advanced Driver Assistance Systems: From a Holistic and Systemic Vision. Sensors 22(8): 3040 (2022) - [j27]Wladimir E. Valenzuela
Motion-Based Object Location on a Smart Image Sensor Using On-Pixel Memory. Sensors 22(17): 6538 (2022) - 2021
- [j26]Javier E. Soto
A High-Throughput Hardware Accelerator for Network Entropy Estimation Using Sketches. IEEE Access 9: 85823-85838 (2021) - [j25]Jaime Cariñe
Post-Measurement Adjustment of the Coincidence Window in Quantum Optics Experiments. IEEE Access 9: 94010-94016 (2021) - [j24]Yasmany Prieto
Maximizing Network Reliability to 0-Day Exploits Through a Heterogeneous Node Migration Strategy. IEEE Access 9: 97747-97759 (2021) - [j23]Ignacio Pérez
A Heterogeneous Hardware Accelerator for Image Classification in Embedded Systems. Sensors 21(8): 2637 (2021) - [j22]Wladimir E. Valenzuela
Face Recognition on a Smart Image Sensor Using Local Gradients. Sensors 21(9): 2901 (2021) - 2020
- [j21]Antonio Saavedra
Mining Discriminative K-Mers in DNA Sequences Using Sketches and Hardware Acceleration. IEEE Access 8: 114715-114732 (2020) - [j20]Javier Cardenas, Javier E. Soto, Miguel E. Figueroa:
Multimodal registration of visible, SWIR and LWIR images in a distributed smart camera system. Microprocess. Microsystems 73: 102987 (2020) - [c37]Jorge Andrés Palacios, Vincenzo Caro, Miguel Durán, Miguel E. Figueroa:
A hardware architecture for Multiscale Retinex with Chromacity Preservation on an FPGA. DSD 2020: 73-80 - [c36]Javier E. Soto, Paulo Ubisse, Cecilia Hernández
A hardware accelerator for entropy estimation using the top-k most frequent elements. DSD 2020: 141-148 - [c35]Xiaoyi Yerden, Mila Gascó-Hernández, J. Ramón Gil-García, G. Brian Burke, Miguel E. Figueroa:
Small Town vs. Big City: A Comparative Study on the Role of Public Libraries in the Development of Smart Communities. EGOV-CeDEM-ePart-* 2020: 155-164
2010 – 2019
- 2019
- [j19]Silvana Diaz, Thomas Krohmer, Álvaro Moreira, Sebastián E. Godoy
An Instrument for Accurate and Non-Invasive Screening of Skin Cancer Based on Multimodal Imaging. IEEE Access 7: 176646-176657 (2019) - [c34]Ignacio Pérez, Wladimir E. Valenzuela
A Hardware Accelerator for Edge Detection in High-Definition Video using Cellular Neural Networks. DSD 2019: 43-50 - [c33]Javier E. Soto, Thomas Krohmer, Cecilia Hernández
Hardware Acceleration of k-Mer Clustering using Locality-Sensitive Hashing. DSD 2019: 659-662 - [c32]Andrea Vázquez, Narciso López-López, Nicole Labra, Miguel E. Figueroa, Cyril Poupon, Jean-François Mangin, Cecilia Hernández
Parallel Optimization of Fiber Bundle Segmentation for Massive Tractography Datasets. ISBI 2019: 178-181 - [i1]Andrea Vázquez, Narciso López-López, Nicole Labra, Miguel E. Figueroa, Cyril Poupon, Jean-François Mangin, Cecilia Hernández, Pamela Guevara:
Parallel optimization of fiber bundle segmentation for massive tractography datasets. CoRR abs/1912.11494 (2019) - 2018
- [c31]Shannon Mersand
The role of public libraries in smart, inclusive, and connected communities: current and best practices. DG.O 2018: 107:1-107:2 - [c30]Antonio Saavedra
Heavy-Hitter Detection Using a Hardware Sketch with the Countmin-CU Algorithm. DSD 2018: 38-45 - [c29]Javier Cardenas, Miguel E. Figueroa
Multimodal Image Registration between SWIR and LWIR Images in an Embedded System. DSD 2018: 91-98 - 2017
- [j18]Claudio Román
Clustering of Whole-Brain White Matter Short Association Bundles Using HARDI Data. Frontiers Neuroinformatics 11: 73 (2017) - [j17]Fabian Inostroza, Silvana Diaz, Javier Cardenas, Sebastián E. Godoy
Embedded registration of visible and infrared images in real time for noninvasive skin cancer screening. Microprocess. Microsystems 55: 70-81 (2017) - [j16]Nicole Labra, Pamela Guevara
Fast Automatic Segmentation of White Matter Streamlines Based on a Multi-Subject Bundle Atlas. Neuroinformatics 15(1): 71-86 (2017) - [c28]Silvana Diaz, Javier E. Soto, Fabian Inostroza, Sebastián E. Godoy
An embedded system for image segmentation and multimodal registration in noninvasive skin cancer screening. EMBC 2017: 636-639 - [c27]Javier E. Soto, Wladimir E. Valenzuela
An intelligent readout integrated circuit (iROIC) with on-chip local gradient operations. ICECS 2017: 360-362 - 2016
- [j15]Alejandro Wolf, Jorge E. Pezoa, Miguel E. Figueroa
Modeling and Compensating Temperature-Dependent Non-Uniformity Noise in IR Microbolometer Cameras. Sensors 16(7): 1121 (2016) - [j14]Gonzalo Carvajal, Luis Araneda
Integrating Dynamic-TDMA Communication Channels into COTS Ethernet Networks. IEEE Trans. Ind. Informatics 12(5): 1806-1816 (2016) - [c26]Fabian Inostroza, Javier Cardenas, Sebastián E. Godoy
Embedded Multimodal Registration of Visible Images on Long-Wave Infrared Video in Real Time. DSD 2016: 176-183 - [c25]Rodolfo Redlich, Luis Araneda, Antonio Saavedra
An Embedded Hardware Architecture for Real-Time Super-Resolution in Infrared Cameras. DSD 2016: 184-191 - 2015
- [j13]Luis Araneda
A compact hardware architecture for digital image stabilization using integral projections. Microprocess. Microsystems 39(8): 987-997 (2015) - 2014
- [j12]Gonzalo Carvajal, Miguel E. Figueroa
Model, analysis, and evaluation of the effects of analog VLSI arithmetic on linear subspace-based image recognition. Neural Networks 55: 72-82 (2014) - [c24]Luis Araneda, Miguel E. Figueroa
Real-Time Digital Video Stabilization on an FPGA. DSD 2014: 90-97 - [c23]Nicole Labra, Miguel E. Figueroa
Interactive segmentation of white-matter fibers using a multi-subject atlas. EMBC 2014: 2376-2379 - 2013
- [j11]Cristian Sepulveda, Javier A. Muñoz, José R. Espinoza
All-on-Chip dq-Frame Based D-STATCOM Control Implementation in a Low-Cost FPGA. IEEE Trans. Ind. Electron. 60(2): 659-669 (2013) - [j10]Christian Alberto Garcia-Sepulveda, Javier A. Muñoz, José R. Espinoza
FPGA v/s DSP Performance Comparison for a VSC-Based STATCOM Control Application. IEEE Trans. Ind. Informatics 9(3): 1351-1360 (2013) - [c22]Nicole Labra, Miguel E. Figueroa
GPU-Based acceleration of an automatic white matter segmentation algorithm using CUDA. EMBC 2013: 89-92 - [c21]Gonzalo Carvajal, Miguel E. Figueroa
Atacama: An Open FPGA-Based Platform for Mixed-Criticality Communication in Multi-segmented Ethernet Networks. FCCM 2013: 121-128 - [c20]Rodolfo Redlich, Miguel E. Figueroa
A digital architecture for real-time nonuniformity correction of infrared focal-plane arrays. FPL 2013: 1-4 - 2012
- [c19]Nicolas Celedon, Rodolfo Redlich, Miguel E. Figueroa
FPGA-based Neural Network for Nonuniformity Correction on Infrared Focal Plane Arrays. DSD 2012: 193-200 - 2011
- [j9]Gonzalo Carvajal, Miguel E. Figueroa
Analysis and Compensation of the Effects of Analog VLSI Arithmetic on the LMS Algorithm. IEEE Trans. Neural Networks 22(7): 1046-1060 (2011) - [c18]Rodolfo Redlich, Gonzalo Carvajal, Miguel E. Figueroa
An FPGA-based real-time nonuniformity correction system for Infrared Focal Plane Arrays. ASAP 2011: 202-208 - [c17]Pablo Pizarro, Miguel E. Figueroa
Subspace-Based Face Recognition on an FPGA. EANN/AIAI (1) 2011: 84-89 - 2010
- [j8]Lech Józwiak, Nadia Nedjah
Modern development methods and tools for embedded reconfigurable systems: A survey. Integr. 43(1): 1-33 (2010) - [c16]Barend van Liempd, Daniel Herrera, Miguel E. Figueroa
An FPGA-Based Accelerator for Analog VLSI Artificial Neural Network Emulation. DSD 2010: 771-778
2000 – 2009
- 2009
- [c15]Ricardo Escalona, Daniel Herrera, Miguel E. Figueroa:
A Reconfigurable Array for Blind Source-separation on an FPGA. BIODEVICES 2009: 262-267 - [c14]Gonzalo Carvajal, Waldo Valenzuela
Image Recognition in Analog VLSI with On-Chip Learning. ICANN (1) 2009: 429-438 - 2008
- [c13]Waldo Valenzuela
Blind Source-Separation in Mixed-Signal VLSI Using the InfoMax Algorithm. ICANN (2) 2008: 208-217 - 2007
- [c12]Gonzalo Carvajal, Waldo Valenzuela, Miguel E. Figueroa:
Subspace-Based Face Recognition in Analog VLSI. NIPS 2007: 225-232 - 2006
- [c11]Gonzalo Carvajal, Miguel E. Figueroa, Seth Bridges:
Effects of Analog-VLSI Hardware on the Performance of the LMS Algorithm. ICANN (1) 2006: 963-973 - [c10]Miguel E. Figueroa
Adaptive Signal Processing in Mixed-Signal VLSI with Anti-Hebbian Learning. ISVLSI 2006: 133-140 - 2005
- [c9]Seth Bridges, Miguel E. Figueroa
A reconfigurable VLSI learning array. ESSCIRC 2005: 117-120 - 2004
- [j7]Miguel E. Figueroa
A 19.2 GOPS mixed-signal filter with floating-gate adaptation. IEEE J. Solid State Circuits 39(7): 1196-1201 (2004) - [c8]Miguel E. Figueroa, Seth Bridges, Chris Diorio:
On-Chip Compensation of Device-Mismatch Effects in Analog VLSI Neural Networks. NIPS 2004: 441-448 - 2003
- [j6]John Hyde, Todd Humes, Chris Diorio, Mike Thomas, Miguel E. Figueroa
A 300-MS/s 14-bit digital-to-analog converter in logic CMOS. IEEE J. Solid State Circuits 38(5): 734-740 (2003) - [c7]Miguel E. Figueroa
A 19.2GOPS, 20mW adaptive FIR filter. ESSCIRC 2003: 509-512 - 2002
- [j5]Chris Diorio, David Hsu, Miguel E. Figueroa
Prolog to adaptive CMOS: from biological inspiration to systems-on-a-chip. Proc. IEEE 90(3): 343-344 (2002) - [j4]Chris Diorio, David Hsu, Miguel E. Figueroa
Adaptive CMOS: from biological inspiration to systems-on-a-chip. Proc. IEEE 90(3): 345-357 (2002) - [j3]David Hsu, Miguel E. Figueroa
Competitive learning with floating-gate circuits. IEEE Trans. Neural Networks 13(3): 732-744 (2002) - [c6]David Hsu, Seth Bridges, Miguel E. Figueroa, Chris Diorio:
Adaptive Quantization and Density Estimation in Silicon. NIPS 2002: 1083-1090 - [c5]Seth Bridges, Miguel E. Figueroa, David Hsu, Chris Diorio:
Field-Programmable Learning Arrays. NIPS 2002: 1155-1162 - 2001
- [j2]Miguel E. Figueroa
A mixed-signal approach to high-performance low-power linear filters. IEEE J. Solid State Circuits 36(5): 816-822 (2001) - 2000
- [c4]Tim Tuan, Miguel E. Figueroa
An FPGA-Based Array Processor for an Ionospheric-Imaging Radar. FCCM 2000: 313-314 - [c3]David Hsu, Miguel E. Figueroa, Chris Diorio:
A Silicon Primitive for Competitive Learning. NIPS 2000: 713-719
1990 – 1999
- 1999
- [c2]Darren C. Cronquist, Chris Fisher, Miguel E. Figueroa
Architecture Design of Reconfigurable Pipelined Datapaths. ARVLSI 1999: 23-41 - 1991
- [j1]Jaime H. Moreno, Miguel E. Figueroa
Linear pseudosystolic array for partitioned matrix algorithms. J. VLSI Signal Process. 3(3): 201-214 (1991) - [c1]Jaime H. Moreno, Miguel E. Figueroa
A decoupled access/execute processor for matrix algorithms: architecture and programming. ASAP 1991: 281-295
Coauthor Index
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