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ORCIDEduardo Pérez
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j25]Eduardo Pérez
, Sebastian Semper, Sayako Kodera, Florian Römer, Giovanni Del Galdo:
Misspecification of Multiple Scattering in Scalar Wave Fields and its Impact in Ultrasound Tomography. IEEE Access 12: 142899-142914 (2024)- [c47]Jianan Wen, Andrea Baroni, Eduardo Pérez, Max Uhlmann, Markus Fritscher, Karthik KrishneGowda, Markus Ulbricht, Christian Wenger, Milos Krstic:
Towards Reliable and Energy-Efficient RRAM Based Discrete Fourier Transform Accelerator. DATE 2024: 1-6 - [c46]Stefan Pechmann, Eduardo Pérez, Christian Wenger, Amelie Hagelauer:
A Current Mirror Based Read Circuit Design with Multi-Level Capability for Resistive Switching Devices. ICEIC 2024: 1-4 - [c45]Ozan Çakiroglu, Eduardo Pérez, Florian Roemer, Martin Schiffner:
Self-Supervised Transmission Waveform Learning for Ultrafast Pulse-Echo Ultrasound Imaging with Sparse Reconstruction. EUSIPCO 2024: 1916-1920 - [c44]Han Wang, Yhonatan Kvich, Eduardo Pérez, Florian Römer, Yonina C. Eldar:
Efficient Convolutional Forward Modeling and Sparse Coding in Multichannel Imaging. EUSIPCO 2024: 2187-2191 - [c43]Han Wang, Yiming Zhou, Eduardo Pérez, Florian Römer:
Jointly Learning Selection Matrices for Transmitters, Receivers and Fourier Coefficients in Multichannel Imaging. ICASSP 2024: 8691-8695 - [c42]Jianan Wen, Fabian Luis Vargas, Fukun Zhu, Daniel Reiser, Andrea Baroni, Markus Fritscher, Eduardo Pérez, Marc Reichenbach, Christian Wenger, Milos Krstic:
Cycle-Accurate FPGA Emulation of RRAM Crossbar Array: Efficient Device and Variability Modeling with Energy Consumption Assessment. LATS 2024: 1-6 - [i2]Han Wang, Eduardo Pérez, Iris A. M. Huijben, Hans Van Gorp, Ruud van Sloun, Florian Römer:
Learning Structured Compressed Sensing with Automatic Resource Allocation. CoRR abs/2410.18954 (2024) - 2023
- [j24]Eduardo Pérez, Sebastián Ventura:
Progressive growing of Generative Adversarial Networks for improving data augmentation and skin cancer diagnosis. Artif. Intell. Medicine 141: 102556 (2023) - [j23]Eduardo Pérez, Oscar Gabriel Reyes Pupo:
Performing Melanoma Diagnosis by an Effective Multi-view Convolutional Network Architecture. Int. J. Comput. Vis. 131(11): 3094-3117 (2023) - [j22]Eduardo Pérez, Sebastián Ventura:
A framework to build accurate Convolutional Neural Network models for melanoma diagnosis. Knowl. Based Syst. 260: 110157 (2023) - [j21]Oscar Gabriel Reyes Pupo, Eduardo Pérez:
Performing Cancer Diagnosis via an Isoform Expression Ranking-based LSTM Model. ACM Trans. Intell. Syst. Technol. 14(6): 110:1-110:21 (2023) - [c41]Ozan Cakiroglu, Eduardo Pérez, Florian Roemer, Martin Schiffner:
Autoencoder-Based Learning of Transmission Parameters in Fast Pulse-Echo Ultrasound Imaging Employing Sparse Recovery. CAMSAP 2023: 516-520 - [c40]Ozan Cakiroglu, Eduardo Pérez, Florian Roemer, Martin Schiffner:
Optimization of Transmission Parameters in Fast Pulse-Echo Ultrasound Imaging Using Sparse Recovery. EUSIPCO 2023: 441-445 - [c39]Sebastian Semper, Eduardo Pérez, Markus H. Landmann, Reiner S. Thomä:
Misspecification Under the Narrowband Assumption: A Cramér-Rao Bound Perspective. EUSIPCO 2023: 1524-1528 - [c38]Han Wang, Eduardo Pérez, Florian Römer:
Deep Learning-Based Optimal Spatial Subsampling in Ultrasound Nondestructive Testing. EUSIPCO 2023: 1863-1867 - [c37]Max Uhlmann, Tommaso Rizzi, Jianan Wen, Emilio Pérez-Bosch Quesada, Bakr Al Beattie, Karlheinz Ochs, Eduardo Pérez, Philip Ostrovskyy, Corrado Carta, Christian Wenger, Gerhard Kahmen:
LUT-based RRAM Model for Neural Accelerator Circuit Simulation. NANOARCH 2023: 35:1-35:6 - [c36]Max Uhlmann, Emilio Pérez-Bosch Quesada, Markus Fritscher, Eduardo Pérez, Markus Andreas Schubert, Marc Reichenbach, Philip Ostrovskyy, Christian Wenger, Gerhard Kahmen:
One-Transistor-Multiple-RRAM Cells for Energy-Efficient In-Memory Computing. NEWCAS 2023: 1-5 - [c35]Markus Fritscher, Alessandro Veronesi, Andrea Baroni, Jianan Wen, Thorsten Spätling, Mamathamba Kalishettyhalli Mahadevaiah, Norbert Herfurth, Eduardo Pérez, Markus Ulbricht, Marc Reichenbach, Amelie Hagelauer, Milos Krstic:
Prototyping Reconfigurable RRAM-Based AI Accelerators Using the RISC-V Ecosystem and Digital Twins. ISC Workshops 2023: 500-514 - 2022
- [j20]Eduardo Pérez, Sebastián Ventura:
An ensemble-based convolutional neural network model powered by a genetic algorithm for melanoma diagnosis. Neural Comput. Appl. 34(13): 10429-10448 (2022) - [j19]Eduardo Pérez:
An Appointment Planning Algorithm for Reducing Patient Check-In Waiting Times in Multispecialty Outpatient Clinics. Oper. Res. Forum 3(3) (2022) - [j18]Eduardo Pérez, Raúl Parada, Carlos Monzo:
Global Emergency System Based on WPAN and LPWAN Hybrid Networks. Sensors 22(20): 7921 (2022) - [j17]Eduardo Pérez:
A simulation-driven online scheduling algorithm for the maintenance and operation of wind farm systems. Simul. 98(1) (2022) - [j16]Eduardo Pérez, Emanuele Zappa:
Video Motion Magnification to Improve the Accuracy of Vision-Based Vibration Measurements. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [c34]Eduardo Pérez, Sebastián Ventura:
Multi-view Deep Neural Networks for multiclass skin lesion diagnosis. COINS 2022: 1-6 - [c33]Jianan Wen, Andrea Baroni, Eduardo Pérez, Markus Ulbricht, Christian Wenger, Milos Krstic:
Evaluating Read Disturb Effect on RRAM based AI Accelerator with Multilevel States and Input Voltages. DFT 2022: 1-6 - [c32]Sayako Kodera, Florian Römer, Eduardo Pérez, Jan Kirchhof, Fabian Krieg:
Deep Learning Aided Interpolation of Spatio-Temporal Nonstationary Data. EUSIPCO 2022: 2221-2225 - [c31]Artem Glukhov, Valerio Milo, Andrea Baroni, Nicola Lepri, Cristian Zambelli, Piero Olivo, Eduardo Pérez, Christian Wenger, Daniele Ielmini:
Statistical model of program/verify algorithms in resistive-switching memories for in-memory neural network accelerators. IRPS 2022: 3 - [c30]Piergiulio Mannocci, Andrea Baroni, Enrico Melacarne, Cristian Zambelli, Piero Olivo, Eduardo Pérez, Christian Wenger, Daniele Ielmini:
Experimental verification and benchmark of in-memory principal component analysis by crosspoint arrays of resistive switching memory. ISCAS 2022: 326-330 - [c29]Nicolas Bogun, Emilio Pérez-Bosch Quesada, Eduardo Pérez, Christian Wenger, Alexander Kloes, Mike Schwarz:
Analytical Calculation of Inference in Memristor-based Stochastic Artificial Neural Networks. MIXDES 2022: 83-88 - [c28]Artem Glukhov, Nicola Lepri, Valerio Milo, Andrea Baroni, Cristian Zambelli, Piero Olivo, Eduardo Pérez, Christian Wenger, Daniele Ielmini:
End-to-end modeling of variability-aware neural networks based on resistive-switching memory arrays. VLSI-SoC 2022: 1-5 - 2021
- [j15]Dmytro Petryk, Zoya Dyka, Eduardo Pérez, Ievgen Kabin, Jens Katzer, Jan Schäffner, Peter Langendörfer:
Sensitivity of HfO2-based RRAM Cells to Laser Irradiation. Microprocess. Microsystems 87: 104376 (2021) - [j14]Eduardo Pérez, Oscar Gabriel Reyes Pupo, Sebastián Ventura:
Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study. Medical Image Anal. 67: 101858 (2021) - [j13]Emilio Pérez-Bosch Quesada, Eduardo Pérez, Mamathamba Kalishettyhalli Mahadevaiaha, Christian Wenger:
Memristive-based in-memory computing: from device to large-scale CMOS integration. Neuromorph. Comput. Eng. 1(2): 24006 (2021) - [c27]Jianan Wen, Markus Ulbricht, Eduardo Pérez, Xin Fan, Milos Krstic:
Behavioral Model of Dot-Product Engine Implemented with 1T1R Memristor Crossbar Including Assessment. DDECS 2021: 29-32 - [c26]Rick Pandey, Jan Kirchhof, Fabian Krieg, Eduardo Pérez, Florian Römer:
Preprocessing of Freehand Ultrasound Synthetic Aperture Measurements using DNN. EUSIPCO 2021: 1401-1405 - [c25]Valerio Milo, Francesco Anzalone, Cristian Zambelli, Eduardo Pérez, Mamathamba Kalishettyhalli Mahadevaiah, Oscar Gonzalez Ossorio, Piero Olivo, Christian Wenger, Daniele Ielmini:
Optimized programming algorithms for multilevel RRAM in hardware neural networks. IRPS 2021: 1-6 - [c24]Eduardo Pérez, Logan Taunton, Jorge A. Sefair:
A Simulation-Optimization Approach to Improve the Allocation of Security Screening Resources in Airport Terminal Checkpoints. WSC 2021: 1-11 - [i1]Dmytro Petryk, Zoya Dyka, Eduardo Pérez, Mamathamba Kalishettyhalli Mahadevaiaha, Ievgen Kabin, Christian Wenger, Peter Langendörfer:
Evaluation of the Sensitivity of RRAM Cells to Optical Fault Injection Attacks. CoRR abs/2103.12435 (2021) - 2020
- [j12]Oscar Gabriel Reyes Pupo, Eduardo Pérez, Raúl M. Luque, Justo Castaño, Sebastián Ventura:
A supervised machine learning-based methodology for analyzing dysregulation in splicing machinery: An application in cancer diagnosis. Artif. Intell. Medicine 108: 101950 (2020) - [j11]Eduardo Pérez, Vivekanand Anandhan, Clara Novoa:
A Simulation-Based Planning Methodology for Decreasing Patient Waiting Times in Pure Walk-In Clinics. Int. J. Inf. Syst. Serv. Sect. 12(3): 34-54 (2020) - [j10]Eduardo Pérez, Jan Kirchhof, Fabian Krieg, Florian Römer:
Subsampling Approaches for Compressed Sensing with Ultrasound Arrays in Non-Destructive Testing. Sensors 20(23): 6734 (2020) - [c23]Antonio J. Pérez-Ávila, Gerardo González-Cordero, Eduardo Pérez, Emilio Pérez-Bosch Quesada, Mamathamba Kalishettyhalli Mahadevaiaha, Christian Wenger, Juan Bautista Roldán, Francisco Jiménez-Molinos:
Behavioral modeling of multilevel HfO2-based memristors for neuromorphic circuit simulation. DCIS 2020: 1-6 - [c22]Dmytro Petryk, Zoya Dyka, Eduardo Pérez, Mamathamba Kalishettyhalli Mahadevaiaha, Ievgen Kabin, Christian Wenger, Peter Langendörfer:
Evaluation of the Sensitivity of RRAM Cells to Optical Fault Injection Attacks. DSD 2020: 238-245 - [c21]Eduardo Pérez, Jan Kirchhof, Sebastian Semper, Fabian Krieg, Florian Römer:
Cramér-Rao Bounds for Flaw Localization in Subsampled Multistatic Multichannel Ultrasound Ndt Data. ICASSP 2020: 4960-4964
2010 – 2019
- 2019
- [j9]Nicola Lupo, Eduardo Pérez, Christian Wenger, Franco Maloberti, Edoardo Bonizzoni:
Analysis of Parasitic Effects in Filamentary-Switching Memristive Memories Using an Approximated Verilog-A Memristor Model. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(5): 1935-1947 (2019) - [c20]Valerio Milo, Cristian Zambelli, Piero Olivo, Eduardo Pérez, Oscar Gonzalez Ossorio, Christian Wenger, Daniele Ielmini:
Low-energy inference machine with multilevel HfO2 RRAM arrays. ESSDERC 2019: 174-177 - [c19]Mamathamba Kalishettyhalli Mahadevaiah, Eduardo Pérez, Christian Wenger, Alessandro Grossi, Cristian Zambelli, Piero Olivo, Finn Zahari, Hermann Kohlstedt, Martin Ziegler:
Reliability of CMOS Integrated Memristive HfO2 Arrays with Respect to Neuromorphic Computing. IRPS 2019: 1-4 - 2018
- [j8]Michelle M. Alvarado, Tanisha G. Cotton, Lewis Ntaimo, Eduardo Pérez, William R. Carpentier:
Modeling and simulation of oncology clinic operations in discrete event system specification. Simul. 94(2): 105-121 (2018) - [j7]Nicola Lupo, Edoardo Bonizzoni, Eduardo Pérez, Christian Wenger, Franco Maloberti:
A Voltage-Time Model for Memristive Devices. IEEE Trans. Very Large Scale Integr. Syst. 26(8): 1452-1460 (2018) - [c18]Nicola Lupo, Edoardo Bonizzoni, Eduardo Pérez, Christian Wenger, Franco Maloberti:
An Approximated Verilog-A Model for Memristive Devices. ISCAS 2018: 1-5 - 2017
- [c17]Haydon D. Reese, Vivekanand Anandhan, Eduardo Pérez, Clara Novoa:
Improving patient waiting time at a pure walk-in clinic. WSC 2017: 2764-2773 - 2016
- [j6]Oscar Gabriel Reyes Pupo, Eduardo Pérez, María del Carmen Rodríguez-Hernández, Habib M. Fardoun, Sebastián Ventura:
JCLAL: A Java Framework for Active Learning. J. Mach. Learn. Res. 17: 95:1-95:5 (2016) - 2015
- [j5]Eduardo Pérez, Lewis Ntaimo, Yu Ding:
Multi-component wind turbine modeling and simulation for wind farm operations and maintenance. Simul. 91(4): 360-382 (2015) - [c16]Darbie Walker, Emma Shanks, David Montoya, Calvin Weiman, Eduardo Pérez, Lenore DePagter:
Towards a simulation based methodology for scheduling patient and providers at outpatient clinics. WSC 2015: 1515-1524 - 2014
- [c15]Travis Sowle, Natalie Gardini, Fernando Vazquez Arroyo Vazquez, Eduardo Pérez, Jesús A. Jiménez, Lenore DePagter:
A simulation-IP based tool for patient admission services in a multi-specialty outpatient clinic. WSC 2014: 1186-1197 - 2013
- [j4]Leila Shila Shafti, Pablo A. Haya, Manuel García-Herranz, Eduardo Pérez:
Inferring ECA-based rules for ambient intelligence using evolutionary feature extraction. J. Ambient Intell. Smart Environ. 5(6): 563-587 (2013) - [c14]Bruno Mocarzel, David Shelton, Berkcan Uyan, Eduardo Pérez, Jesús A. Jiménez, Lenore DePagter:
Modeling and simulation of patient admission services in a multi-specialty outpatient clinic. WSC 2013: 2309-2319 - 2012
- [c13]Leila Shila Shafti, Pablo A. Haya, Manuel García-Herranz, Eduardo Pérez:
Evolutionary Feature Extraction to Infer Behavioral Patterns in Ambient Intelligence. AmI 2012: 256-271 - 2011
- [j3]Eunshin Byon, Eduardo Pérez, Yu Ding, Lewis Ntaimo:
Simulation of wind farm operations and maintenance using discrete event system specification. Simul. 87(12): 1093-1117 (2011) - 2010
- [j2]Eduardo Pérez, Lewis Ntaimo, Carla Bailey, Peter McCormack:
Modeling and Simulation of Nuclear Medicine Patient Service Management in DEVS. Simul. 86(8-9): 481-501 (2010) - [c12]Eduardo Pérez, Lewis Ntaimo, Eunshin Byon, Yu Ding:
A stochastic DEVS wind turbine component model for wind farm simulation. SpringSim 2010: 138
2000 – 2009
- 2009
- [j1]Leila Shila Shafti, Eduardo Pérez:
Evolutionary multi-feature construction for data reduction: A case study. Appl. Soft Comput. 9(4): 1296-1303 (2009) - [c11]Leila Shila Shafti, Eduardo Pérez:
Feature Construction and Feature Selection in Presence of Attribute Interactions. HAIS 2009: 589-596 - 2008
- [c10]Leila Shila Shafti, Eduardo Pérez:
Data Reduction by Genetic Algorithms and Non-Algebraic Feature Construction: A Case Study. HIS 2008: 573-578 - 2007
- [c9]Leila Shila Shafti, Eduardo Pérez:
Reducing complex attribute interaction through non-algebraic feature construction. Artificial Intelligence and Applications 2007: 391-397 - [c8]Leila Shila Shafti, Eduardo Pérez:
Fitness Function Comparison for GA-Based Feature Construction. CAEPIA 2007: 249-258 - [c7]Leila Shila Shafti, Eduardo Pérez:
MDL-based fitness for feature construction. GECCO 2007: 1875 - 2005
- [c6]Leila Shila Shafti, Eduardo Pérez:
Constructive induction and genetic algorithms for learning concepts with complex interaction. GECCO 2005: 1811-1818 - 2004
- [c5]Leila Shila Shafti, Eduardo Pérez:
Machine Learning by Multi-feature Extraction Using Genetic Algorithms. IBERAMIA 2004: 246-255 - 2003
- [c4]Leila Shila Shafti, Eduardo Pérez:
Genetic Approach to Constructive Induction Based on Non-algebraic Feature Representation. IDA 2003: 599-610
1990 – 1999
- 1998
- [c3]Eduardo Pérez, Larry A. Rendell:
Relational Concepts and the Fourier Transform: An Empirical Study. Canadian AI 1998: 411-425 - 1996
- [c2]Eduardo Pérez, Larry A. Rendell:
Learning Despite Concept Variation by Finding Structure in Attribute-based Data. ICML 1996: 391-399 - 1995
- [c1]Eduardo Pérez, Larry A. Rendell:
Using Multidimensional Projection to Find Relations. ICML 1995: 447-455
Coauthor Index
Mamathamba Kalishettyhalli Mahadevaiaha
aka: Mamathamba Kalishettyhalli Mahadevaiah
aka: Mamathamba Kalishettyhalli Mahadevaiah
Florian Roemer
aka: Florian Römer
aka: Florian Römer
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