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- Daniel Martí
aka: Daniel Martí Ortega - Daniel A. Ortega
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Publication search results
found 397 matches
- 2024
- Modesto Castrillón Santana, David Freire-Obregón, Daniel Hernández-Sosa, Oliverio J. Santana, Francisco Ortega-Zamorano, José Isern González, Javier Lorenzo-Navarro:
An Evaluation of General-Purpose Optical Character Recognizers and Digit Detectors for Race Bib Number Recognition. ICPRAM 2024: 910-917 - Andrew S. Cassidy, John V. Arthur, Filipp Akopyan, Alexander Andreopoulos, Rathinakumar Appuswamy, Pallab Datta, Michael V. DeBole, Steven K. Esser, Carlos Ortega Otero, Jun Sawada, Brian Taba, Arnon Amir, Deepika Bablani, Peter J. Carlson, Myron D. Flickner, Rajamohan Gandhasri, Guillaume Garreau, Megumi Ito, Jennifer L. Klamo, Jeffrey A. Kusnitz, Nathaniel J. McClatchey, Jeffrey L. McKinstry, Yutaka Y. Nakamura, Tapan K. Nayak, William P. Risk, Kai Schleupen, Ben Shaw, Jay Sivagnaname, Daniel F. Smith, Ignacio Terrizzano, Takanori Ueda, Dharmendra S. Modha:
11.4 IBM NorthPole: An Architecture for Neural Network Inference with a 12nm Chip. ISSCC 2024: 214-215 - Giuseppe Stragapede, Rubén Vera-Rodríguez, Ruben Tolosana, Aythami Morales, Ivan DeAndres-Tame, Naser Damer, Julian Fiérrez, Javier Ortega-Garcia, Nahuel González, Andrei Shadrikov, Dmitrii Gordin, Leon Schmitt, Daniel Wimmer, Christoph Großmann, Joerdis Krieger, Florian Heinz, Ron Krestel, Christoffer Mayer, Simon Haberl, Helena Gschrey, Yosuke Yamagishi, Sanjay Saha, Sanka Rasnayaka, Sandareka Wickramanayake, Terence Sim, Weronika Gutfeter, Adam Baran, Mateusz Krzyszton, Przemyslaw Jaskola:
IEEE BigData 2023 Keystroke Verification Challenge (KVC). CoRR abs/2401.16559 (2024) - Himar Fabelo, Samuel Ortega, D. Ravi, B. R. Kiran, C. Sosa, Diederik Bulters, Gustavo Marrero Callicó, Harry Bulstrode, Adam Szolna, Juan F. Piñeiro, Silvester Kabwama, Daniel Madroñal, Raquel Lazcano, Aruma J. O'Shanahan, Sara Bisshopp, M. Hernandez, Abelardo Báez-Quevedo, Guang-Zhong Yang, Bogdan Stanciulescu, R. Salvador, E. Juarez, R. Sarmiento:
Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations. CoRR abs/2402.07192 (2024) - Daniel DeAlcala, Aythami Morales, Gonzalo Mancera, Julian Fiérrez, Ruben Tolosana, Javier Ortega-Garcia:
Is my Data in your AI Model? Membership Inference Test with Application to Face Images. CoRR abs/2402.09225 (2024) - Himar Fabelo, Samuel Ortega, Adam Szolna, Diederik Bulters, Juan F. Piñeiro, Silvester Kabwama, Aruma J. O'Shanahan, Harry Bulstrode, Sara Bisshopp, B. R. Kiran, D. Ravi, Raquel Lazcano, Daniel Madroñal, C. Sosa, Carlos Espino Palma, M. Marquez, Maria De La Luz Plaza, R. Camacho, D. Carrera, M. Hernandez, Gustavo Marrero Callicó, Jesús Morera, Bogdan Stanciulescu, Guang-Zhong Yang, R. Salvador, E. Juarez, C. Sanz, R. Sarmiento:
In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection. CoRR abs/2402.10776 (2024) - 2023
- Roberto Gallardo-Cava, David Ortega-delCampo, Julio Guillen-Garcia, Daniel Palacios-Alonso, Cristina Conde:
Creating Realistic Presentation Attacks for Facial Impersonation Step-by-Step. IEEE Access 11: 109257-109266 (2023) - Jovani Ortega Ventura, Daniel Benitez Morales, Jesus P. Ordaz Oliver, Eduardo Steed Espinoza Quesada:
Dynamic Sliding Mode Control With PID Surface for Trajectory Tracking of a Multirotor Aircraft. IEEE Access 11: 99878-99888 (2023) - Daniel Gortat, Alejandro Ortega Ancel, André Farinha, Raphael Zufferey, Mirko Kovac:
Use of Superhydrophobic Surfaces for Performance Enhancement of Aerial-Aquatic Vehicles. Adv. Intell. Syst. 5(2) (2023) - Daniel Gortat, Alejandro Ortega Ancel, André Farinha, Raphael Zufferey, Mirko Kovac:
Use of Superhydrophobic Surfaces for Performance Enhancement of Aerial-Aquatic Vehicles. Adv. Intell. Syst. 5(2) (2023) - Daniel Iglesias Morís, Joaquim de Moura, Pedro J. Marcos, Enrique Míguez Rey, Jorge Novo, Marcos Ortega:
Comprehensive analysis of clinical data for COVID-19 outcome estimation with machine learning models. Biomed. Signal Process. Control. 84: 104818 (2023) - Daniel Iglesias Morís, Álvaro S. Hervella, José Rouco, Jorge Novo, Marcos Ortega:
Context encoder transfer learning approaches for retinal image analysis. Comput. Biol. Medicine 152: 106451 (2023) - Jörg Becker, Friedrich Chasin, Michael Rosemann, Daniel Beverungen, Jennifer Priefer, Jan vom Brocke, Martin Matzner, Adela del-Río-Ortega, Manuel Resinas, Flávia Maria Santoro, Minseok Song, Kangah Park, Claudio Di Ciccio:
City 5.0: Citizen involvement in the design of future cities. Electron. Mark. 33(1): 10 (2023) - Christoph Busch, Farzin Deravi, Dinusha Frings, Els Kindt, Ralph Lessmann, Alexander Nouak, Jean Salomon, Mateus Achcar, Fernando Alonso-Fernandez, Daniel Bachenheimer, David Bethell, Josef Bigün, Matthew Brawley, Guido Brockmann, Enrique Cabello, Patrizio Campisi, Aleksandrs Cepilovs, Miles Clee, Mickey Cohen, Christian Croll, Andrzej Czyzewski, Bernadette Dorizzi, Martin Drahanský, Pawel Drozdowski, Catherine Fankhauser, Julian Fiérrez, Marta Gomez-Barrero, Georg Hasse, Richard M. Guest, Ekaterina Komleva, Sébastien Marcel, Gian Luca Marcialis, Laurent Mercier, Emilio Mordini, Stefance Mouille, Pavlina Navratilova, Javier Ortega-Garcia, Dijana Petrovska, Norman Poh, Istvan Racz, Ramachandra Raghavendra, Christian Rathgeb, Christophe Remillet, Uwe Seidel, Luuk J. Spreeuwers, Brage Strand, Sirra Toivonen, Andreas Uhl:
Facilitating free travel in the Schengen area - A position paper by the European Association for Biometrics. IET Biom. 12(2): 112-128 (2023) - Inés A. Cruz-Guerrero, Aldo R. Mejía-Rodríguez, Samuel Ortega, Himar Fabelo, Gustavo Marrero Callicó, Javier A. Jo, Daniel U. Campos-Delgado:
Multi and hyperspectral image unmixing with spatial coherence by extended blind end-member and abundance extraction. J. Frankl. Inst. 360(15): 11165-11196 (2023) - Javier Martínez-Río, Enrique J. Carmona, Daniel Cancelas, Jorge Novo, Marcos Ortega:
Deformable registration of multimodal retinal images using a weakly supervised deep learning approach. Neural Comput. Appl. 35(20): 14779-14797 (2023) - Benjamin Gaubert, David P. Edwards, Jeffrey L. Anderson, Avelino F. Arellano, Jérôme Barré, Rebecca R. Buchholz, Sabine Darras, Louisa K. Emmons, David Fillmore, Claire Granier, James W. Hannigan, Ivan Ortega, Kevin Raeder, Antonin Soulié, Wenfu Tang, Helen M. Worden, Daniel Ziskin:
Global Scale Inversions from MOPITT CO and MODIS AOD. Remote. Sens. 15(19): 4813 (2023) - Raúl Lara-Cabrera, Fernando Ortega, Edgar Talavera, Daniel López-Fernández:
Using 3-D Printed Badges to Improve Student Performance and Reduce Dropout Rates in STEM Higher Education. IEEE Trans. Educ. 66(6): 612-621 (2023) - Amelia C. Warden, Christopher D. Wickens, Daniel Rehberg, Francisco Raul Ortega, Benjamin A. Clegg:
Fast, Accurate, But Sometimes Too-Compelling Support: The Impact of Imperfectly Automated Cues in an Augmented-Reality Head-Mounted Display on Visual Search Performance. IEEE Trans. Hum. Mach. Syst. 53(6): 1061-1072 (2023) - Santiago Fernández Scagliusi, Luis Giménez-Miranda, Pablo Pérez-García, Daniel Martin Fernández, Francisco Javier Medrano-Ortega, Gloria Huertas, Alberto Yúfera:
Bioimpedance Spectroscopy-Based Edema Supervision Wearable System for Noninvasive Monitoring of Heart Failure. IEEE Trans. Instrum. Meas. 72: 1-8 (2023) - Wilhelm Daniel Scherz, Juan José Perea, Ralf Seepold, Juan Antonio Ortega:
Definition of Emotional States Interval for Application of Artificial Intelligence and Stress Estimation. ApplePies 2023: 339-345 - Giuseppe Stragapede, Rubén Vera-Rodríguez, Ruben Tolosana, Aythami Morales, Ivan DeAndres-Tame, Naser Damer, Julian Fiérrez, Javier Ortega-Garcia, Nahuel González, Andrei Shadrikov, Dmitrii Gordin, Leon Schmitt, Daniel Wimmer, Christoph Großmann, Joerdis Krieger, Florian Heinz, Ron Krestel, Christoffer Mayer, Simon Haberl, Helena Gschrey, Yosuke Yamagishi, Sanjay Saha, Sanka Rasnayaka, Sandareka Wickramanayake, Terence Sim, Weronika Gutfeter, Adam Baran, Mateusz Krzyszton, Przemyslaw Jaskola:
IEEE BigData 2023 Keystroke Verification Challenge (KVC). IEEE Big Data 2023: 6092-6100 - Daniel DeAlcala, Ignacio Serna, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia:
Measuring Bias in AI Models: An Statistical Approach Introducing N-Sigma. COMPSAC 2023: 1167-1172 - Cristina Páez Quinde, Ma. José Hernández-Rosales, Daniel A. Robles-Ortega, Valeria Mendoza-Chavarria:
Flipped classroom methodology as a teaching strategy in education 4.0. EDUCON 2023: 1-5 - Dharmendra S. Modha, Filipp Akopyan, Alexander Andreopoulos, Rathinakumar Appuswamy, John V. Arthur, Andrew S. Cassidy, Pallab Datta, Michael V. DeBole, Steven K. Esser, Carlos Ortega Otero, Jun Sawada, Brian Taba, Arnon Amir, Deepika Bablani, Peter J. Carlson, Myron D. Flickner, Rajamohan Gandhasri, Guillaume Garreau, Megumi Ito, Jennifer L. Klamo, Jeffrey A. Kusnitz, Nathaniel J. McClatchey, Jeffrey L. McKinstry, Yutaka Y. Nakamura, Tapan K. Nayak, William P. Risk, Kai Schleupen, Ben Shaw, Jay Sivagnaname, Daniel F. Smith, Ignacio Terrizzano, Takanori Ueda:
IBM NorthPole Neural Inference Machine. HCS 2023: 1-58 - Luis A. Ortega, Simón Rodríguez Santana, Daniel Hernández-Lobato:
Deep Variational Implicit Processes. ICLR 2023 - Pavel Cheben, Jens H. Schmid, Pablo Ginel-Moreno, Shahrzad Khajavi, R. Korcek, W. Fraser, D. Sirmaci, A. F. Hinestrosa, Jose M. Luque-González, Daniel Pereira-Martín, Alejandro Sánchez-Postigo, Abdelfettah Hadij-ElHouati, Daniel Benedikovic, Alejandro Ortega-Moñux, J. Gonzalo Wangüemert-Pérez, I. Molina Fernandez, Robert Halir, Winnie N. Ye, Daniele Melati, Carlos Alonso-Ramos, David González-Andrade, Laurent Vivien, I. Staude, J. Zhang, Maziyar Milanizadeh, Dan-Xia Xu, Yuri Grinberg, Ross Cheriton, Siegfried Janz, S. Wang, Martin Vachon, Milan Dado, R. Fernández de Cabo, Aitor V. Velasco:
Subwavelength-Engineered Metamaterial Devices for Integrated Photonics. ICTON 2023: 1 - Inés A. Cruz-Guerrero, Juan N. Mendoza-Chavarría, Daniel U. Campos-Delgado, Himar Fabelo, Samuel Ortega, Gustavo Marrero Callicó:
Classification of Brain Tissues in Hyperspectral Images Using Vision Transformers. ISBI 2023: 1-4 - Arantxa M. Ortega León, Roa'a Khaled, María Inmaculada Rodríguez-García, Daniel Urda, Ignacio J. Turias:
A Machine Learning Approach to Predict MRI Brain Abnormalities in Preterm Infants Using Clinical Data. IWBBIO (1) 2023: 419-430 - Daniel Iglesias Morís, Joaquim de Moura, Jorge Novo, Marcos Ortega:
Deep feature analysis in a transfer learning approach for the automatic COVID-19 screening using chest X-ray images. KES 2023: 228-237
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