Francisco Pereira

36 papers A* 7B 1Misc 1Journal 20Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	More Experts Than Galaxies: Conditionally-Overlapping Experts with Biologically-Inspired Fixed Routing. ICLR Sagi Shaier, Francisco Pereira, Katharina von der Wense, Lawrence Hunter, Matt Jones
2024	A*	`conf`	Causal Inference in the Closed-Loop: Marginal Structural Models for Sequential Excursion Effects. NeurIPS Alexander Levis, Gabriel Loewinger, Francisco Pereira
2024	J	`jnl`	Enhancing Infant Crying Detection with Gradient Boosting for Improved Emotional and Mental Health Diagnostics. CoRR Kyunghun Lee, Lauren M. Henry, Eleanor Hansen, Elizabeth Tandilashvili, Lauren S. Wakschlag, Elizabeth Norton, Daniel S. Pine, Melissa A. Brotman, Francisco Pereira
2024	J	`jnl`	More Experts Than Galaxies: Conditionally-overlapping Experts With Biologically-Inspired Fixed Routing. CoRR Sagi Shaier, Francisco Pereira, Katharina von der Wense, Lawrence E. Hunter, Matt Jones
2023	J	`jnl`	Interpretable factorization of clinical questionnaires to identify latent factors of psychopathology. CoRR Ka Chun Lam, Bridget W. Mahony, Armin Raznahan, Francisco Pereira
2022	J	`jnl`	Testing for context-dependent changes in neural encoding in naturalistic experiments. CoRR Yenho Chen, Carl W. Harris, Xiaoyu Ma, Zheng Li, Francisco Pereira, Charles Y. Zheng
2022	A*	`conf`	VICE: Variational Interpretable Concept Embeddings. NeurIPS Lukas Muttenthaler, Charles Y. Zheng, Patrick McClure, Robert A. Vandermeulen, Martin N. Hebart, Francisco Pereira
2022	J	`jnl`	VICE: Variational Interpretable Concept Embeddings. CoRR Lukas Muttenthaler, Charles Y. Zheng, Patrick McClure, Robert A. Vandermeulen, Martin N. Hebart, Francisco Pereira
2021	B	`conf`	Mental representations of objects reflect the ways in which we interact with them. CogSci Ka Chun Lam, Francisco Pereira, Maryam Vaziri-Pashkam, Kristin Woodard, Emalie McMahon
2020	J	`jnl`	A Deep Neural Network Tool for Automatic Segmentation of Human Body Parts in Natural Scenes. CoRR Patrick McClure, Gabrielle Reimann, Michal Ramot, Francisco Pereira
2020	J	`jnl`	Evaluating Adversarial Robustness for Deep Neural Network Interpretability using fMRI Decoding. CoRR Patrick McClure, Dustin Moraczewski, Ka Chun Lam, Adam G. Thomas, Francisco Pereira
2020	J	`jnl`	Understanding Object Affordances Through Verb Usage Patterns. CoRR Ka Chun Lam, Francisco Pereira, Maryam Vaziri-Pashkam, Kristin Woodard, Emalie McMahon
2019	J	`jnl`	Imaging the spontaneous flow of thought: Distinct periods of cognition contribute to dynamic functional connectivity during rest. NeuroImage Javier Gonzalez-Castillo, César Caballero-Gaudes, Natasha Topolski, Daniel A. Handwerker, Francisco Pereira, Peter A. Bandettini
2019	J	`jnl`	Knowing What You Know in Brain Segmentation Using Bayesian Deep Neural Networks. Frontiers Neuroinformatics 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
2019	—	`conf`	Revealing interpretable object representations from human behavior. ICLR (Poster) Charles Y. Zheng, Francisco Pereira, Chris I. Baker, Martin N. Hebart
2019	J	`jnl`	Revealing interpretable object representations from human behavior. CoRR Charles Y. Zheng, Francisco Pereira, Chris I. Baker, Martin N. Hebart
2018	A*	`conf`	Distributed Weight Consolidation: A Brain Segmentation Case Study. NeurIPS Patrick McClure, Charles Y. Zheng, Jakub Kaczmarzyk, John Rogers-Lee, Satrajit S. Ghosh, Dylan Nielson, Peter A. Bandettini, Francisco Pereira
2018	J	`jnl`	Knowing what you know in brain segmentation using deep neural networks. CoRR 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
2018	J	`jnl`	Parallel Weight Consolidation: A Brain Segmentation Case Study. CoRR Patrick McClure, Charles Y. Zheng, Francisco Pereira, Jakub Kaczmarzyk, John Rogers-Lee, Dylan Nielson, Peter A. Bandettini
2018	J	`jnl`	Semantic projection: recovering human knowledge of multiple, distinct object features from word embeddings. CoRR Gabriel Grand, Idan Asher Blank, Francisco Pereira, Evelina Fedorenko
2013	—	`conf`	Creating Group-Level Functionally-Defined Atlases for Diagnostic Classification. PRNI Francisco Pereira, Jennifer M. Walz, Hasan Ertan Çetingül, Sandra Sudarsky, Mariappan S. Nadar, Ruchika Prakash
2013	—	`conf`	Simitar: Simplified Searching of Statistically Significant Similarity Structure. PRNI Francisco Pereira, Matthew M. Botvinick
2013	—	`conf`	Simultaneous label fusion with vessel preserving for bone removal in CT angiography scans. EMBC Lei Yuan, Li Zhang, Hendrik Ditt, Vincent Ordy, Francisco Pereira, Christophe Chefd'Hotel
2013	J	`jnl`	Using Wikipedia to learn semantic feature representations of concrete concepts in neuroimaging experiments. Artif. Intell. Francisco Pereira, Matthew M. Botvinick, Greg Detre
2012	—	`conf`	A systematic approach to extracting semantic information from functional MRI data. NIPS Francisco Pereira, Matthew M. Botvinick
2011	J	`jnl`	A topographic latent source model for fMRI data. NeuroImage Samuel Gershman, David M. Blei, Francisco Pereira, Kenneth A. Norman
2011	A*	`conf`	Classification of functional magnetic resonance imaging data using informative pattern features. KDD Francisco Pereira, Matthew M. Botvinick
2011	J	`jnl`	Information mapping with pattern classifiers: A comparative study. NeuroImage Francisco Pereira, Matthew M. Botvinick
2009	J	`jnl`	Machine learning classifiers and fMRI: A tutorial overview. NeuroImage Francisco Pereira, Tom M. Mitchell, Matthew M. Botvinick
2008	A*	`conf`	Closed-form supervised dimensionality reduction with generalized linear models. ICML Irina Rish, Genady Grabarnik, Guillermo A. Cecchi, Francisco Pereira, Geoffrey J. Gordon
2006	A*	`conf`	The support vector decomposition machine. ICML Francisco Pereira, Geoffrey J. Gordon
2004	—	`conf`	Detecting Significant Multidimensional Spatial Clusters. NIPS Daniel B. Neill, Andrew W. Moore, Francisco Pereira, Tom M. Mitchell
2004	J	`jnl`	Learning to Decode Cognitive States from Brain Images. Mach. Learn. Tom M. Mitchell, Rebecca A. Hutchinson, Radu Stefan Niculescu, Francisco Pereira, Xuerui Wang, Marcel Adam Just, Sharlene D. Newman
2003	Misc	`conf`	Classifying Instantaneous Cognitive States from fMRI Data. AMIA Tom M. Mitchell, Rebecca A. Hutchinson, Marcel Adam Just, Radu Stefan Niculescu, Francisco Pereira, Xuerui Wang
2001	—	`conf`	Distinguishing Natural Language Processes on the Basis of fMRI-Measured Brain Activation. PKDD Francisco Pereira, Marcel Adam Just, Tom M. Mitchell
2000	J	`jnl`	Concise, intelligible, and approximate profiling of multiple classes. Int. J. Hum. Comput. Stud. Raúl E. Valdés-Pérez, Francisco Pereira, Vladimir Pericliev