Virginia R. de Sa

61 papers B 9Misc 1Journal 29Unranked 22

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Explore-Exploit Behaviors During Rat-Robot Interactions Optimize Social and Spatial Security. ICDL Ian Jackson, Raunit Kohli, Eric Leonardis, Virginia R. de Sa, Simon Fei, Laleh Quinn, Yifan Lou, Andrea A. Chiba
2025	B	`conf`	FERGI: Automatic Scoring of User Preferences for Text-to-Image Generation from Spontaneous Facial Expression Reaction. FG Shuangquan Feng, Junhua Ma, Virginia R. de Sa
2024	—	`conf`	Development and Characterization of Zinc Dry Electrodes for Wearable Electrophysiology. EMBC Cassia Rizq, Alessandro D'Amico, Aidan Truel, Joelle Faybishenko, Min Suk Lee, Jeong-Hoon Kim, Gert Cauwenberghs, Virginia R. de Sa
2024	J	`jnl`	One-Frame Calibration with Siamese Network in Facial Action Unit Recognition. CoRR Shuangquan Feng, Virginia R. de Sa
2023	J	`jnl`	Adaptive recurrent vision performs zero-shot computation scaling to unseen difficulty levels. CoRR Vijay Veerabadran, Srinivas Ravishankar, Yuan Tang, Ritik Raina, Virginia R. de Sa
2023	J	`jnl`	FERGI: Automatic Annotation of User Preferences for Text-to-Image Generation from Spontaneous Facial Expression Reaction. CoRR Shuangquan Feng, Junhua Ma, Virginia R. de Sa
2022	J	`jnl`	Automated Pain Assessment in Children Using Electrodermal Activity and Video Data Fusion via Machine Learning. IEEE Trans. Biomed. Eng. Busra T. Susam, Nathan T. Riek, Murat Akçakaya, Xiaojing Xu, Virginia R. de Sa, Hooman Nezamfar, Damaris Diaz, Kenneth D. Craig, Matthew S. Goodwin, Jeannie S. Huang
2022	J	`jnl`	Code O-SUKI-N 3D: Upgraded direct-drive fuel target 3D implosion code in heavy ion inertial fusion. Comput. Phys. Commun. H. Nakamura, Ken Uchibori, Shigeo Kawata, Takahiro Karino, Virginia R. de Sa, Aleksandar I. Ogoyski
2022	—	`conf`	Multi-Subject Unsupervised Transfer with Weighted Subspace Alignment for Common Spatial Patterns. BCI Zhining Chen, Mahta Mousavi, Virginia R. de Sa
2021	—	`conf`	Motor imagery performance from calibration to online control in EEG-based brain-computer interfaces. NER Mahta Mousavi, Virginia R. de Sa
2021	—	`conf`	Personalized Pain Detection in Facial Video with Uncertainty Estimation. EMBC Xiaojing Xu, Virginia R. de Sa
2020	J	`jnl`	Deep Transfer Learning with Ridge Regression. CoRR Shuai Tang, Virginia R. de Sa
2020	B	`conf`	Exploring Multidimensional Measurements for Pain Evaluation using Facial Action Units. FG Xiaojing Xu, Virginia R. de Sa
2020	J	`jnl`	Learning compact generalizable neural representations supporting perceptual grouping. CoRR Vijay Veerabadran, Virginia R. de Sa
2019	J	`jnl`	An Empirical Study on Post-processing Methods for Word Embeddings. CoRR Shuai Tang, Mahta Mousavi, Virginia R. de Sa
2019	—	`conf`	Exploiting Invertible Decoders for Unsupervised Sentence Representation Learning. ACL (1) Shuai Tang, Virginia R. de Sa
2019	—	`conf`	Pain Evaluation in Video using Extended Multitask Learning from Multidimensional Measurements. ML4H@NeurIPS Xiaojing Xu, Jeannie S. Huang, Virginia R. de Sa
2019	—	`conf`	Temporally Adaptive Common Spatial Patterns with Deep Convolutional Neural Networks. EMBC Mahta Mousavi, Virginia R. de Sa
2018	—	`conf`	Adaptive CSP with subspace alignment for subject-to-subject transfer in motor imagery brain-computer interfaces. BCI Yiming Jin, Mahta Mousavi, Virginia R. de Sa
2018	—	`conf`	Automated Pain Assessment using Electrodermal Activity Data and Machine Learning. EMBC Busra T. Susam, Murat Akçakaya, Hooman Nezamfar, Damaris Diaz, Xiaojing Xu, Virginia R. de Sa, Kenneth D. Craig, Jeannie S. Huang, Matthew S. Goodwin
2018	—	`conf`	Automated Pain Detection in Facial Videos of Children Using Human-Assisted Transfer Learning. AIH@IJCAI (Revised Selected Papers) Xiaojing Xu, Kenneth D. Craig, Damaris Diaz, Matthew S. Goodwin, Murat Akçakaya, Büsra Tugçe Susam, Jeannie S. Huang, Virginia R. de Sa
2018	—	`conf`	Automated pain detection in facial videos of children using human-assisted transfer learning. AIH@IJCAI Xiaojing Xu, Kenneth Craig, Damaris Diaz, Matthew S. Goodwin, Murat Akçakaya, Busra Susam, Jeannie Huang, Virginia R. de Sa
2018	J	`jnl`	Exploiting Invertible Decoders for Unsupervised Sentence Representation Learning. CoRR Shuai Tang, Virginia R. de Sa
2018	J	`jnl`	Improving Sentence Representations with Multi-view Frameworks. CoRR Shuai Tang, Virginia R. de Sa
2018	J	`jnl`	Learning Distributed Representations of Symbolic Structure Using Binding and Unbinding Operations. CoRR Shuai Tang, Paul Smolensky, Virginia R. de Sa
2018	J	`jnl`	Multi-view Sentence Representation Learning. CoRR Shuai Tang, Virginia R. de Sa
2018	—	`conf`	Single-Trial EEG Predicts Memory Retrieval Using Leave-One-Subject-Out Classification. BIBM Kueida Liao, Matthew V. Mollison, Tim Curran, Virginia R. de Sa
2018	—	`conf`	Speeding up Context-based Sentence Representation Learning with Non-autoregressive Convolutional Decoding. Rep4NLP@ACL Shuai Tang, Hailin Jin, Chen Fang, Zhaowen Wang, Virginia R. de Sa
2018	—	`conf`	Towards Automated Pain Detection in Children Using Facial and Electrodermal Activity. AIH@IJCAI (Revised Selected Papers) Xiaojing Xu, Büsra Tugçe Susam, Hooman Nezamfar, Damaris Diaz, Kenneth D. Craig, Matthew S. Goodwin, Murat Akçakaya, Jeannie S. Huang, Virginia R. de Sa
2018	—	`conf`	Towards automated pain detection in children using facial and electrodermal activity. AIH@IJCAI Xiaojing Xu, Busra Susam, Hooman Nezamfar, Kenneth Craig, Damaris Diaz, Jeannie Huang, Matthew S. Goodwin, Murat Akçakaya, Virginia R. de Sa
2017	J	`jnl`	Exploring Asymmetric Encoder-Decoder Structure for Context-based Sentence Representation Learning. CoRR Shuai Tang, Hailin Jin, Chen Fang, Zhaowen Wang, Virginia R. de Sa
2017	—	`conf`	Rethinking Skip-thought: A Neighborhood based Approach. Rep4NLP@ACL Shuai Tang, Hailin Jin, Chen Fang, Zhaowen Wang, Virginia R. de Sa
2017	J	`jnl`	Rethinking Skip-thought: A Neighborhood based Approach. CoRR Shuai Tang, Hailin Jin, Chen Fang, Zhaowen Wang, Virginia R. de Sa
2017	J	`jnl`	Trimming and Improving Skip-thought Vectors. CoRR Shuai Tang, Hailin Jin, Chen Fang, Zhaowen Wang, Virginia R. de Sa
2014	B	`conf`	Discriminative dimensionality reduction for analyzing EEG data. CogSci Eunho Noh, Virginia R. de Sa
2014	Misc	`conf`	Single-trial identification of failed memory retrieval. ACSSC Eunho Noh, Matthew V. Mollison, Tim Curran, Virginia R. de Sa
2014	J	`jnl`	Using single-trial EEG to predict and analyze subsequent memory. NeuroImage Eunho Noh, Grit Herzmann, Tim Curran, Virginia R. de Sa
2013	J	`jnl`	Divvy: fast and intuitive exploratory data analysis. J. Mach. Learn. Res. Joshua M. Lewis, Virginia R. de Sa, Laurens van der Maaten
2012	B	`conf`	A Behavioral Investigation of Dimensionality Reduction. CogSci Joshua M. Lewis, Laurens van der Maaten, Virginia R. de Sa
2012	B	`conf`	An interactive control strategy is more robust to non-optimal classification boundaries. ICMI Virginia R. de Sa
2012	B	`conf`	Human Cluster Evaluation and Formal Quality Measures: A Comparative Study. CogSci Joshua M. Lewis, Margareta Ackerman, Virginia R. de Sa
2012	B	`conf`	Learning Cluster Analysis through Experience. CogSci Joshua M. Lewis, Virginia R. de Sa
2012	B	`conf`	Using Machine Learning for Exploratory Data Analysis. CogSci Joshua M. Lewis, Virginia R. de Sa
2011	B	`conf`	Coordinating Touch and Vision to Learn What Objects Look Like. CogSci Walter A. Talbott, Ian R. Fasel, Javier Molina, Virginia R. de Sa, Javier R. Movellan
2010	J	`jnl`	Multi-view kernel construction. Mach. Learn. Virginia R. de Sa, Patrick W. Gallagher, Joshua M. Lewis, Vicente L. Malave
2008	J	`jnl`	Predicting Reaching Targets from Human EEG. IEEE Signal Process. Mag. Paul S. Hammon, Scott Makeig, Howard Poizner, Emanuel Todorov, Virginia R. de Sa
2008	J	`jnl`	Sleeping Our Way to Weight Normalization and Stable Learning. Neural Comput. Thomas J. Sullivan, Virginia R. de Sa
2007	J	`jnl`	Preprocessing and Meta-Classification for Brain-Computer Interfaces. IEEE Trans. Biomed. Eng. Paul S. Hammon, Virginia R. de Sa
2006	J	`jnl`	A model of surround suppression through cortical feedback. Neural Networks Thomas J. Sullivan, Virginia R. de Sa
2006	J	`jnl`	A self-organizing map with homeostatic synaptic scaling. Neurocomputing Thomas J. Sullivan, Virginia R. de Sa
2006	J	`jnl`	Homeostatic synaptic scaling in self-organizing maps. Neural Networks Thomas J. Sullivan, Virginia R. de Sa
2004	J	`jnl`	A temporal trace and SOM-based model of complex cell development. Neurocomputing Thomas J. Sullivan, Virginia R. de Sa
2004	J	`jnl`	Nonlinear reverse correlation with synthesized naturalistic noise. Neurocomputing Hsin-Hao Yu, Virginia R. de Sa
2003	J	`jnl`	Benefitting from the Variables that Variable Selection Discards. J. Mach. Learn. Res. Rich Caruana, Virginia R. de Sa
2003	—	`conf`	Sensory Modality Segregation. NIPS Virginia R. de Sa
2001	J	`jnl`	Model fitting as an aid to bridge balancing in neuronal recording. Neurocomputing Virginia R. de Sa, David J. C. MacKay
1998	J	`jnl`	Category Learning Through Multi-Modality Sensing. Neural Comput. Virginia R. de Sa, Dana H. Ballard
1997	—	`conf`	Using Helmholtz Machines to Analyze Multi-channel Neuronal Recordings. NIPS Virginia R. de Sa, R. Christopher DeCharms, Michael Merzenich
1996	—	`conf`	Promoting Poor Features to Supervisors: Some Inputs Work Better as Outputs. NIPS Rich Caruana, Virginia R. de Sa
1993	—	`conf`	Learning Classification with Unlabeled Data. NIPS Virginia R. de Sa
1992	—	`conf`	A Note on Learning Vector Quantization. NIPS Virginia R. de Sa, Dana H. Ballard