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Francisco Pereira
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2020 – today
- 2024
- [c34]Francisco Pereira, Fernando M. V. Ramos, Luis Pedrosa:
Automatic Parallelization of Software Network Functions. NSDI 2024 - [i16]João Romeiras Amado, Francisco Pereira, David Pissarra, Salvatore Signorello, Miguel Correia, Fernando M. V. Ramos:
Peregrine: ML-based Malicious Traffic Detection for Terabit Networks. CoRR abs/2403.18788 (2024) - [i15]Sagi Shaier, Francisco Pereira, Katharina von der Wense, Lawrence E. Hunter, Matt Jones:
More Experts Than Galaxies: Conditionally-overlapping Experts With Biologically-Inspired Fixed Routing. CoRR abs/2410.08003 (2024) - [i14]Kyunghun Lee, Lauren M. Henry, Eleanor Hansen, Elizabeth Tandilashvili, Lauren S. Wakschlag, Elizabeth Norton, Daniel S. Pine, Melissa A. Brotman, Francisco Pereira:
Enhancing Infant Crying Detection with Gradient Boosting for Improved Emotional and Mental Health Diagnostics. CoRR abs/2410.09236 (2024) - 2023
- [i13]Francisco Pereira, Fernando M. V. Ramos, Luis Pedrosa:
Automatic Parallelization of Software Network Functions. CoRR abs/2307.14791 (2023) - [i12]Ka Chun Lam, Bridget W. Mahony, Armin Raznahan, Francisco Pereira:
Interpretable factorization of clinical questionnaires to identify latent factors of psychopathology. CoRR abs/2312.07762 (2023) - 2022
- [c33]Francisco Pereira, Helio Silva, João Gomes, Javam C. Machado:
Predicting Test Execution Times with Asymmetric Random Forests. ESANN 2022 - [c32]Lukas Muttenthaler, Charles Y. Zheng, Patrick McClure, Robert A. Vandermeulen, Martin N. Hebart, Francisco Pereira:
VICE: Variational Interpretable Concept Embeddings. NeurIPS 2022 - [c31]Christoffer Riis, Francisco Antunes, Frederik Boe Hüttel, Carlos Lima Azevedo, Francisco Pereira:
Bayesian Active Learning with Fully Bayesian Gaussian Processes. NeurIPS 2022 - [c30]Francisco Pereira, Gonçalo Matos, Hugo Sadok, Daehyeok Kim, Ruben Martins, Justine Sherry, Fernando M. V. Ramos, Luis Pedrosa:
Automatic generation of network function accelerators using component-based synthesis. SOSR 2022: 89-97 - [c29]Diego González Morín, Francisco Pereira, Ester González, Pablo Pérez, Álvaro Villegas:
Democratic Video Pass-Through for Commercial Virtual Reality Devices. VR Workshops 2022: 790-791 - [i11]Lukas Muttenthaler, Charles Y. Zheng, Patrick McClure, Robert A. Vandermeulen, Martin N. Hebart, Francisco Pereira:
VICE: Variational Interpretable Concept Embeddings. CoRR abs/2205.00756 (2022) - [i10]Niklas Petersen, Filipe Rodrigues, Francisco Pereira:
Representation learning of rare temporal conditions for travel time prediction. CoRR abs/2208.04667 (2022) - [i9]Yenho Chen, Carl W. Harris, Xiaoyu Ma, Zheng Li, Francisco Pereira, Charles Y. Zheng:
Testing for context-dependent changes in neural encoding in naturalistic experiments. CoRR abs/2211.09295 (2022) - 2021
- [j11]Lino Sousa, André Rocha, Mário Alves, Francisco Pereira:
Revisiting the nodal voltage method for both human comprehension and software implementation: Towards a teaching/self-learning simulation tool. Comput. Appl. Eng. Educ. 29(6): 1642-1664 (2021) - [c28]Pablo Pérez, Ester González-Sosa, Redouane Kachach, Francisco Pereira, Álvaro Villegas:
Ecological Validity through Gamification: an Experiment with a Mixed Reality Escape Room. AIVR 2021: 179-183 - [c27]Ka Chun Lam, Francisco Pereira, Maryam Vaziri-Pashkam, Kristin Woodard, Emalie McMahon:
Mental representations of objects reflect the ways in which we interact with them. CogSci 2021 - [c26]Redouane Kachach, Sandra Morcuende, Diego González Morín, Pablo Perez-Garcia, Ester Gonzalez-Sosa, Francisco Pereira, Álvaro Villegas:
The Owl: Immersive Telepresence Communication for Hybrid Conferences. ISMAR Adjunct 2021: 451-452 - [c25]Redouane Kachach, Diego González Morín, Francisco Pereira, Pablo Pérez, Ignacio Benito, Jaime J. Ruiz, Ester González, Álvaro Villegas:
A Multi-Peer, Low Cost Immersive Communication System for Pandemic Times. VR Workshops 2021: 691-692 - [i8]Sander van Cranenburgh, Shenhao Wang, Akshay Vij, Francisco Pereira, Joan Walker:
Choice modelling in the age of machine learning. CoRR abs/2101.11948 (2021) - 2020
- [j10]Francisco Pereira, Jorge S. Marques, Sandra Heleno, Pedro Pina:
Detection and Delineation of Sorted Stone Circles in Antarctica. Remote. Sens. 12(1): 160 (2020) - [c24]João H. Araújo, Rafael Kraemer, Henrique M. Santos, Francisco Pereira, Henrique M. Salgado, Luís M. Pessoa:
LASER diode-based transmitter module for optical wireless communications. CSNDSP 2020: 1-5 - [c23]João H. Araújo, Rafael Kraemer, Joana S. Tavares, Francisco Pereira, Henrique M. Salgado, Luís M. Pessoa:
5.36 Gbit/s OFDM optical wireless communication link over the underwater channel. CSNDSP 2020: 1-4 - [c22]Álvaro Villegas, Pablo Pérez, Redouane Kachach, Francisco Pereira, Ester Gonzalez-Sosa:
Realistic training in VR using physical manipulation. VR Workshops 2020: 109-118 - [c21]Álvaro Villegas, Pablo Pérez, Redouane Kachach, Francisco Pereira, Ester Gonzalez-Sosa:
DRoom: A Gamified Demonstration of Real Haptics Technology. VR Workshops 2020: 821-822 - [c20]Álvaro Villegas, Pablo Pérez, Redouane Kachach, Francisco Pereira, Ester Gonzalez-Sosa:
Real Haptics: Using Physical Manipulation to Control Virtual Worlds. VR Workshops 2020: 856 - [i7]Patrick McClure, Dustin Moraczewski, Ka Chun Lam, Adam G. Thomas, Francisco Pereira:
Evaluating Adversarial Robustness for Deep Neural Network Interpretability using fMRI Decoding. CoRR abs/2004.11114 (2020) - [i6]Ka Chun Lam, Francisco Pereira, Maryam Vaziri-Pashkam, Kristin Woodard, Emalie McMahon:
Understanding Object Affordances Through Verb Usage Patterns. CoRR abs/2007.04245 (2020) - [i5]Patrick McClure, Gabrielle Reimann, Michal Ramot, Francisco Pereira:
A Deep Neural Network Tool for Automatic Segmentation of Human Body Parts in Natural Scenes. CoRR abs/2009.09900 (2020)
2010 – 2019
- 2019
- [j9]Patrick McClure, Nao Rho, John A. Lee, Jakub R. Kaczmarzyk, Charles Y. Zheng, Satrajit S. Ghosh, Dylan Nielson, Adam G. Thomas, Peter A. Bandettini, Francisco Pereira:
Knowing What You Know in Brain Segmentation Using Bayesian Deep Neural Networks. Frontiers Neuroinformatics 13: 67 (2019) - [j8]Javier Gonzalez-Castillo, César Caballero-Gaudes, Natasha Topolski, Daniel A. Handwerker, Francisco Pereira, Peter A. Bandettini:
Imaging the spontaneous flow of thought: Distinct periods of cognition contribute to dynamic functional connectivity during rest. NeuroImage 202 (2019) - [c19]Francisco Pereira, Daniel Teixeira, João Paulo Pordeus Gomes, Javam C. Machado:
Evaluating One-Class Classifiers for Fault Detection in Hard Disk Drives. BRACIS 2019: 586-591 - [c18]Pedro Pina, Francisco Pereira, Jorge S. Marques, Sandra Heleno:
Detection of Stone Circles in Periglacial Regions of Antarctica in UAV Datasets. IbPRIA (1) 2019: 279-288 - [c17]Charles Y. Zheng, Francisco Pereira, Chris I. Baker, Martin N. Hebart:
Revealing interpretable object representations from human behavior. ICLR (Poster) 2019 - [c16]Pablo Pérez, Ester Gonzalez-Sosa, Redouane Kachach, Jaime J. Ruiz, Ignacio Benito, Francisco Pereira, Álvaro Villegas:
Immersive Gastronomic Experience with Distributed Reality. WEVR@VR 2019: 1-6 - [c15]Beatriz Ribeiro, Cristiana Gonçalves, Francisco Pereira, Gonçalo Pereira, Joana Santos, Ramiro Gonçalves, Manuel Au-Yong-Oliveira:
Digital Bubbles: Living in Accordance with Personalized Seclusions and Their Effect on Critical Thinking. WorldCIST (3) 2019: 463-471 - [i4]Charles Y. Zheng, Francisco Pereira, Chris I. Baker, Martin N. Hebart:
Revealing interpretable object representations from human behavior. CoRR abs/1901.02915 (2019) - 2018
- [c14]Patrick McClure, Charles Y. Zheng, Jakub Kaczmarzyk, John Rogers-Lee, Satrajit S. Ghosh, Dylan Nielson, Peter A. Bandettini, Francisco Pereira:
Distributed Weight Consolidation: A Brain Segmentation Case Study. NeurIPS 2018: 4097-4107 - [i3]Gabriel Grand, Idan Asher Blank, Francisco Pereira, Evelina Fedorenko:
Semantic projection: recovering human knowledge of multiple, distinct object features from word embeddings. CoRR abs/1802.01241 (2018) - [i2]Patrick McClure, Charles Y. Zheng, Francisco Pereira, Jakub Kaczmarzyk, John Rogers-Lee, Dylan Nielson, Peter A. Bandettini:
Parallel Weight Consolidation: A Brain Segmentation Case Study. CoRR abs/1805.10863 (2018) - [i1]Patrick McClure, Nao Rho, John A. Lee, Jakub R. Kaczmarzyk, Charles Y. Zheng, Satrajit S. Ghosh, Dylan Nielson, Adam G. Thomas, Peter A. Bandettini, Francisco Pereira:
Knowing what you know in brain segmentation using deep neural networks. CoRR abs/1812.01719 (2018) - 2017
- [c13]Pedro Lopes, Francisco Pereira:
Proposal for a Federation of Hybrid Clouds Infrastructure in Higher Education Institutions. WorldCIST (2) 2017: 197-206 - 2014
- [j7]Daniela Meira, Luís Magalhães, Francisco Pereira, Emanuel Peres:
E-Commerce: A Brief Historical and Conceptual Approach. Int. J. Web Portals 6(3): 52-60 (2014) - 2013
- [j6]Francisco Pereira, Matthew M. Botvinick, Greg Detre:
Using Wikipedia to learn semantic feature representations of concrete concepts in neuroimaging experiments. Artif. Intell. 194: 240-252 (2013) - [c12]Lei Yuan, Li Zhang, Hendrik Ditt, Vincent Ordy, Francisco Pereira, Christophe Chefd'Hotel:
Simultaneous label fusion with vessel preserving for bone removal in CT angiography scans. EMBC 2013: 5115-5118 - [c11]Francisco Pereira, Matthew M. Botvinick:
Simitar: Simplified Searching of Statistically Significant Similarity Structure. PRNI 2013: 1-4 - [c10]Francisco Pereira, Jennifer M. Walz, Hasan Ertan Çetingül, Sandra Sudarsky, Mariappan S. Nadar, Ruchika Prakash:
Creating Group-Level Functionally-Defined Atlases for Diagnostic Classification. PRNI 2013: 29-32 - 2012
- [c9]Francisco Pereira, Matthew M. Botvinick:
A systematic approach to extracting semantic information from functional MRI data. NIPS 2012: 2276-2284 - 2011
- [j5]Francisco Pereira, Matthew M. Botvinick:
Information mapping with pattern classifiers: A comparative study. NeuroImage 56(2): 476-496 (2011) - [j4]Samuel Gershman, David M. Blei, Francisco Pereira, Kenneth A. Norman:
A topographic latent source model for fMRI data. NeuroImage 57(1): 89-100 (2011) - [c8]Francisco Pereira, Catarina Silva, Mário Alves:
Virtual Fitting Room Augmented Reality Techniques for e-Commerce. CENTERIS (2) 2011: 62-71 - [c7]Francisco Pereira, Matthew M. Botvinick:
Classification of functional magnetic resonance imaging data using informative pattern features. KDD 2011: 940-946
2000 – 2009
- 2009
- [j3]Francisco Pereira, Tom M. Mitchell, Matthew M. Botvinick:
Machine learning classifiers and fMRI: A tutorial overview. NeuroImage 45(1): S199-S209 (2009) - 2008
- [c6]Irina Rish, Genady Grabarnik, Guillermo A. Cecchi, Francisco Pereira, Geoffrey J. Gordon:
Closed-form supervised dimensionality reduction with generalized linear models. ICML 2008: 832-839 - 2006
- [c5]Francisco Pereira, Geoffrey J. Gordon:
The support vector decomposition machine. ICML 2006: 689-696 - 2005
- [c4]Kurt Debattista, Veronica Sundstedt, Francisco Pereira, Alan Chalmers:
Selective Parallel Rendering for High-Fidelity Graphics. TPCG 2005: 59-66 - 2004
- [j2]Tom M. Mitchell, Rebecca A. Hutchinson, Radu Stefan Niculescu, Francisco Pereira, Xuerui Wang, Marcel Adam Just, Sharlene D. Newman:
Learning to Decode Cognitive States from Brain Images. Mach. Learn. 57(1-2): 145-175 (2004) - [c3]Daniel B. Neill, Andrew W. Moore, Francisco Pereira, Tom M. Mitchell:
Detecting Significant Multidimensional Spatial Clusters. NIPS 2004: 969-976 - 2003
- [c2]Tom M. Mitchell, Rebecca A. Hutchinson, Marcel Adam Just, Radu Stefan Niculescu, Francisco Pereira, Xuerui Wang:
Classifying Instantaneous Cognitive States from fMRI Data. AMIA 2003 - 2001
- [c1]Francisco Pereira, Marcel Adam Just, Tom M. Mitchell:
Distinguishing Natural Language Processes on the Basis of fMRI-Measured Brain Activation. PKDD 2001: 374-385 - 2000
- [j1]Raúl E. Valdés-Pérez, Francisco Pereira, Vladimir Pericliev:
Concise, intelligible, and approximate profiling of multiple classes. Int. J. Hum. Comput. Stud. 53(3): 411-436 (2000)
Coauthor Index
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last updated on 2024-12-08 01:27 CET by the dblp team
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