Eric C. Larson

96 papers A* 5B 7C 2Misc 16Journal 38Unranked 27
YearRankTypeTitle / Venue / Authors
2026 J jnl
2Mamba2Furious: Linear in Complexity, Competitive in Accuracy.
CoRR
Gabriel Mongaras, Eric C. Larson
2026 J jnl
Low cost, mobile radiation anomaly detection with deep adversarial auto encoders on the edge.
Eng. Appl. Artif. Intell.
Charles Sayre, William Bjorndahl, Eric C. Larson, Joseph Camp, Rodolfo A. Rodriguez-Davila, Manuel Quevedo-Lopez, Bruce Gnade
2026 J jnl
Tensor Hypercontraction Error Correction Using Regression.
CoRR
Ishna Satyarth, Eric C. Larson, Devin A. Matthews
2025 Misc conf
A Unified Model for Oral Reading Fluency and Student Prosody.
ICASSP
Yihao Wang, Zhongdi Wu, Joseph Nese, Akihito Kamata, Vedant Nilabh, Eric C. Larson
2025 — conf
Decentralized Q-Learning for Emitter Localization with Consensus Policy Selection.
IEEECONF
Christopher Peters, Mitchell A. Thornton, Eric C. Larson
2025 B conf
Effects of Redundant LiDAR Sensors on Object Hiding Attacks in Autonomous Driving Systems.
COMPSAC
Matthew Lee, William Flinchbaugh, Eric C. Larson, Mitchell A. Thornton
2025 — conf
Equitable Electronic Health Record Prediction with FAME: Fairness-Aware Multimodal Embedding.
MLHC
Nikkie Hooman, Zhongjie Wu, Eric C. Larson, Mehak Gupta
2025 J jnl
Equitable Electronic Health Record Prediction with FAME: Fairness-Aware Multimodal Embedding.
CoRR
Nikkie Hooman, Zhongjie Wu, Eric C. Larson, Mehak Gupta
2025 — conf
MUSIC Spectra Using Cayley Graphs of Multiple-Valued Signals.
ISMVL
Aviraj Sinha, Darrell L. Young, Eric C. Larson, Mitchell A. Thornton
2025 J jnl
On the Expressiveness of Softmax Attention: A Recurrent Neural Network Perspective.
CoRR
Gabriel Mongaras, Eric C. Larson
2025 J jnl
On the Expressiveness of Softmax Attention: A Recurrent Neural Network Perspective.
Trans. Mach. Learn. Res.
Gabriel Mongaras, Eric C. Larson
2025 — conf
Scaling Continuous Kernels with Sparse Fourier Domain Learning.
AIPR
Clayton A. Harper, Luke Wood, Peter Gerstoft, Mitchell A. Thornton, Eric C. Larson
2024 — conf
A Photonic Physically Unclonable Function's Resilience to Multiple-Valued Machine Learning Attacks.
ISMVL
Jessie M. Henderson, Elena R. Henderson, Clayton A. Harper, Hiva Shahoei, William V. Oxford, Eric C. Larson, Duncan L. MacFarlane, Mitchell A. Thornton
2024 J jnl
A Photonic Physically Unclonable Function's Resilience to Multiple-Valued Machine Learning Attacks.
CoRR
Jessie M. Henderson, Elena R. Henderson, Clayton A. Harper, Hiva Shahoei, William V. Oxford, Eric C. Larson, Duncan L. MacFarlane, Mitchell A. Thornton
2024 J jnl
Cottention: Linear Transformers With Cosine Attention.
CoRR
Gabriel Mongaras, Trevor Dohm, Eric C. Larson
2024 J jnl
Designing a Photonic Physically Unclonable Function Having Resilience to Machine Learning Attacks.
CoRR
Elena R. Henderson, Jessie M. Henderson, Hiva Shahoei, William V. Oxford, Eric C. Larson, Duncan L. MacFarlane, Mitchell A. Thornton
2024 J jnl
Digit Recognition using Multimodal Spiking Neural Networks.
CoRR
William Bjorndahl, Jack Easton, Austin Modoff, Eric C. Larson, Joseph Camp, Prasanna Rangarajan
2024 Misc conf
Improving Oral Reading Fluency Assessment Through Sub-Sequence Matching of Acoustic Word Embeddings.
ICASSP
Yihao Wang, Zhongdi Wu, Joseph Nese, Akihito Kamata, Vedant Nilabh, Eric C. Larson
2024 Misc conf
Learnable Statistical Moments Pooling for Automatic Modulation Classification.
ICASSP
Clayton A. Harper, Mitchell A. Thornton, Eric C. Larson
2024 J jnl
Scaling Continuous Kernels with Sparse Fourier Domain Learning.
CoRR
Clayton A. Harper, Luke Wood, Peter Gerstoft, Eric C. Larson
2023 J jnl
An approach for combining multimodal fusion and neural architecture search applied to knowledge tracing.
Appl. Intell.
Xinyi Ding, Tao Han, Yili Fang, Eric C. Larson
2023 J jnl
Automatic Modulation Classification with Deep Neural Networks.
CoRR
Clayton A. Harper, Mitchell A. Thornton, Eric C. Larson
2023 J jnl
CNN-Assisted Steganography - Integrating Machine Learning with Established Steganographic Techniques.
CoRR
Andrew Havard, Theodore W. Manikas, Eric C. Larson, Mitchell A. Thornton
2023 J jnl
Exploring Convolutional Neural Networks for Predicting Sentinel-C Backscatter Between Image Acquisitions.
IEEE Trans. Geosci. Remote. Sens.
Zhongdi Wu, Stuart Stothoff, Osvaldo Pensado, Jennifer Alford, Eric C. Larson
2023 — conf
Impacts of Synthetically Generated Data on Trackformer-based Multi-Object Tracking.
AIPR
Matthew Lee, Clayton A. Harper, William Flinchbaugh, Eric C. Larson, Mitchell A. Thornton
2023 J jnl
LAST: Latent Space-Assisted Adaptive Sampling for Protein Trajectories.
J. Chem. Inf. Model.
Hao Tian, Xi Jiang, Sian Xiao, Hunter La Force, Eric C. Larson, Peng Tao
2023 Misc conf
Radiation Anomaly Detection Using an Adversarial Autoencoder.
ACSSC
Charles Sayre, Eric C. Larson, Gabs DiLiegro, Joseph Camp, Bruce Gnade
2023 B conf
Towards Scalable Vocabulary Acquisition Assessment with BERT.
L@S
Zhongdi Wu, Eric C. Larson, Makoto Sano, Doris Baker, Nathan Gage, Akihito Kamata
2023 — conf
Using Time Series Clustering to Inform Multimodal CNN Architectures.
AIPR
Joshua Sylvester, Matthew Lee, Daniel Canon Ellis, Mitchell A. Thornton, Eric C. Larson
2022 Misc conf
Automated Prosody Classification for Oral Reading Fluency with Quadratic Kappa Loss and Attentive X-Vectors.
ICASSP
George Sammit, Zhongjie Wu, Yihao Wang, Zhongdi Wu, Akihito Kamata, Joseph Nese, Eric C. Larson
2022 — conf
General Process Detection Through Physical Side Channel Characterization.
SysCon
Michael A. Taylor, Eric C. Larson, Mitchell A. Thornton
2022 C conf
Side Channel Identification using Granger Time Series Clustering with Applications to Control Systems.
ICISSP
Matthew Lee, Joshua Sylvester, Sunjoli Aggarwal, Aviraj Sinha, Michael A. Taylor, Nathan Srirama, Eric C. Larson, Mitchell A. Thornton
2022 J jnl
Smartphone camera oximetry in an induced hypoxemia study.
npj Digit. Medicine
Jason S. Hoffman, Varun K. Viswanath, Caiwei Tian, Xinyi Ding, Matthew J. Thompson, Eric C. Larson, Shwetak N. Patel, Edward Jay Wang
2021 Misc conf
A Multidisciplinary Approach To Designing Immersive Gameplay Elements for Learning Standard-Based Educational Content.
CHI PLAY
Vinson Luo, Lawrence J. Klinkert, Paul Foster, Ching-Yu Tseng, Elizabeth Adams, Leanne Ketterlin-Geller, Eric C. Larson, Corey Clark
2021 J jnl
AirWare: Utilizing Embedded Audio and Infrared Signals for In-Air Hand-Gesture Recognition.
CoRR
Nibhrat Lohia, Raunak Mundada, Arya D. McCarthy, Eric C. Larson
2021 J jnl
An Approach for Combining Multimodal Fusion and Neural Architecture Search Applied to Knowledge Tracing.
CoRR
Xinyi Ding, Tao Han, Yili Fang, Eric C. Larson
2021 J jnl
Constructing information technology (IT) portfolios to achieve enterprise strategic goals in multi-business unit firms.
Inf. Manag.
Yu-Hsiang (John) Huang, Eric C. Larson, Michael J. Shaw, Ramanath Subramanyam
2021 J jnl
Deep Learning-Based Ligand Design Using Shared Latent Implicit Fingerprints from Collaborative Filtering.
J. Chem. Inf. Model.
Raghuram Srinivas, Niraj Verma, Elfi Kraka, Eric C. Larson
2021 J jnl
EduAware: using tablet-based navigation gestures to predict learning module performance.
Interact. Learn. Environ.
Xinyi Ding, Eric C. Larson, Amanda Doyle, Kevin Donahoo, Radhika Rajgopal, Eric Bing
2021 — conf
Industrial Control System Anomaly Detection Using Convolutional Neural Network Consensus.
CCTA
Aviraj Sinha, Michael A. Taylor, Nathan Srirama, Theodore W. Manikas, Eric C. Larson, Mitchell A. Thornton
2021 J jnl
Objective Measures of Cognitive Load Using Deep Multi-Modal Learning: A Use-Case in Aviation.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Justin C. Wilson, Suku Nair, Sandro Scielzo, Eric C. Larson
2021 J jnl
On the Interpretability of Deep Learning Based Models for Knowledge Tracing.
CoRR
Xinyi Ding, Eric C. Larson
2021 Misc conf
Parametric Spectral Filters for Fast Converging, Scalable Convolutional Neural Networks.
ICASSP
Luke Wood, Eric C. Larson
2021 Misc conf
Rapid Ransomware Detection through Side Channel Exploitation.
CSR
Michael A. Taylor, Eric C. Larson, Mitchell A. Thornton
2021 — conf
Real-Time Edge Processing Detection of Malicious Attacks Using Machine Learning and Processor Core Events.
SysCon
Rob Oshana, Mitchell A. Thornton, Eric C. Larson, Xavier Roumegue
2021 — conf
SNR-Boosted Automatic Modulation Classification.
ACSCC
Clayton A. Harper, Aviraj Sinha, Mitchell A. Thornton, Eric C. Larson
2021 J jnl
Smartphone Camera Oximetry in an Induced Hypoxemia Study.
CoRR
Jason S. Hoffman, Varun K. Viswanath, Xinyi Ding, Matthew J. Thompson, Eric C. Larson, Shwetak N. Patel, Edward Jay Wang
2021 J jnl
Writers Gonna Wait: The Effectiveness of Notifications to Initiate Aversive Action in Writing Procrastination.
CoRR
Chatchai Wangwiwattana, Sunjoli Aggarwal, Eric C. Larson
2020 B conf
Automatic RNN Cell Design for Knowledge Tracing using Reinforcement Learning.
L@S
Xinyi Ding, Eric C. Larson
2020 Misc conf
Enhanced Automatic Modulation Classification using Deep Convolutional Latent Space Pooling.
ACSSC
Clayton A. Harper, Lauren Lyons, Mitchell A. Thornton, Eric C. Larson
2020 J jnl
Incorporating uncertainties in student response modeling by loss function regularization.
Neurocomputing
Xinyi Ding, Eric C. Larson
2020 J jnl
Swapped face detection using deep learning and subjective assessment.
EURASIP J. Inf. Secur.
Xinyi Ding, Zohreh Raziei, Eric C. Larson, Eli V. Olinick, Paul Krueger, Michael Hahsler
2019 J jnl
Keyboard Snooping from Mobile Phone Arrays with Mixed Convolutional and Recurrent Neural Networks.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Tyler Giallanza, Travis Siems, Elena Smith, Erik Gabrielsen, Ian Johnson, Mitchell A. Thornton, Eric C. Larson
2019 J jnl
Measuring Oxygen Saturation With Smartphone Cameras Using Convolutional Neural Networks.
IEEE J. Biomed. Health Informatics
Xinyi Ding, Damoun Nassehi, Eric C. Larson
2019 Misc conf
Relationships between Deep Learning and Linear Adaptive Systems.
ICASSP
Scott C. Douglas, Eric C. Larson
2019 J jnl
Swapped Face Detection using Deep Learning and Subjective Assessment.
CoRR
Xinyi Ding, Zohreh Raziei, Eric C. Larson, Eli V. Olinick, Paul Krueger, Michael Hahsler
2019 — conf
Task Value Calculus: Multi-Objective Trade off Analysis Using Multiple-Valued Decision Diagrams.
ISMVL
Tyler Giallanza, Erik Gabrielsen, Michael A. Taylor, Eric C. Larson, Mitchell A. Thornton
2019 B conf
Why Deep Knowledge Tracing has less Depth than Anticipated.
EDM
Xinyi Ding, Eric C. Larson
2018 J jnl
Implicit-descriptor ligand-based virtual screening by means of collaborative filtering.
J. Cheminformatics
Raghuram Srinivas, Pavel V. Klimovich, Eric C. Larson
2017 — ch.
Pulmonary Monitoring Using Smartphones.
Mobile Health - Sensors, Analytic Methods, and Applications
Eric C. Larson, Elliot Saba, Spencer A. Kaiser, Mayank Goel, Shwetak N. Patel
2017 J jnl
PupilNet, Measuring Task Evoked Pupillary Response using Commodity RGB Tablet Cameras: Comparison to Mobile, Infrared Gaze Trackers for Inferring Cognitive Load.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Chatchai Wangwiwattana, Xinyi Ding, Eric C. Larson
2016 Misc conf
Design and learnability of vortex whistles for managing chronic lung function via smartphones.
UbiComp
Spencer A. Kaiser, Ashley Parks, Patrick Leopard, Charlie A. Albright, Jake Carlson, Mayank Goel, Damoun Nassehi, Eric C. Larson
2016 — conf
Locked in by Social Media Features? Translating Clicks and Comments into Value.
WEB
Eric C. Larson, Vidya V. Haran
2016 A* conf
SpiroCall: Measuring Lung Function over a Phone Call.
CHI
Mayank Goel, Elliot Saba, Maia Stiber, Eric Whitmire, Josh Fromm, Eric C. Larson, Gaetano Borriello, Shwetak N. Patel
2015 A* conf
DOSE: Detecting user-driven operating states of electronic devices from a single sensing point.
PerCom
Ke-Yu Chen, Sidhant Gupta, Eric C. Larson, Shwetak N. Patel
2015 — conf
PupilWare: towards pervasive cognitive load measurement using commodity devices.
PETRA
Sohail Rafiqi, Chatchai Wangwiwattana, Jasmine Kim, Ephrem Fernandez, Suku Nair, Eric C. Larson
2015 J jnl
The FIRST+ Year Information Systems Faculty Experience.
Commun. Assoc. Inf. Syst.
Eric C. Larson, Matthew L. Nelson, Michelle Carter
2015 B conf
Work-in-Progress, PupilWare-M: Cognitive Load Estimation Using Unmodified Smartphone Cameras.
MASS
Sohail Rafiqi, Chatchai Wangwiwattana, Ephrem Fernandez, Suku Nair, Eric C. Larson
2014 — conf
BiliCam: using mobile phones to monitor newborn jaundice.
UbiComp Adjunct
Lilian de Greef, James W. Stout, Mayank Goel, James A. Taylor, Min Joon Seo, Shwetak N. Patel, Eric C. Larson
2014 Misc conf
Bilicam: using mobile phones to monitor newborn jaundice.
UbiComp
Lilian de Greef, Mayank Goel, Min Joon Seo, Eric C. Larson, James W. Stout, James A. Taylor, Shwetak N. Patel
2014 — conf
Does Higher CIO Rank Serve as an Organizational Integration Mechanism?
AMCIS
Eric C. Larson, Carl R. Adams
2014 C conf
The Impact of Business Analytics Strategy on Social, Mobile, and Cloud Computing Adoption.
ICIS
Abhijeet Ghoshal, Eric C. Larson, Ramanath Subramanyam, Michael J. Shaw
2013 — conf
An Examination of IT Initiative Portfolio Characteristics and Investment Allocation: A Computational Modeling and Simulation Approach.
AMCIS
Yu-Ju Tu, Michael J. Shaw, Ramanath Subramanyam, Eric C. Larson
2013 Misc conf
DopLink: using the doppler effect for multi-device interaction.
UbiComp
Md Tanvir Islam Aumi, Sidhant Gupta, Mayank Goel, Eric C. Larson, Shwetak N. Patel
2013 A* conf
Good vibrations: an evaluation of vibrotactile impedance matching for low power wearable applications.
UIST
Jack Lindsay, Iris Jiang, Eric C. Larson, Richard J. Adams, Shwetak N. Patel, Blake Hannaford
2013 — conf
Tracking lung function on any phone.
ACM DEV (3)
Eric C. Larson, Mayank Goel, Morgan Redfield, Gaetano Borriello, Margaret Rosenfeld, Shwetak N. Patel
2013 — conf
Using a Mark-to-Market Valuation Technique to Objectively Measure IT Portfolio Value Creation.
AMCIS
Yu-Hsiang (John) Huang, Eric C. Larson, Michael J. Shaw
2012 — conf
Dante vision: In-air and touch gesture sensing for natural surface interaction with combined depth and thermal cameras.
ESPA
Elliot Saba, Eric C. Larson, Shwetak N. Patel
2012 J jnl
Disaggregated water sensing from a single, pressure-based sensor: An extended analysis of HydroSense using staged experiments.
Pervasive Mob. Comput.
Eric C. Larson, Jon Froehlich, Tim Campbell, Conor Haggerty, Les E. Atlas, James Fogarty, Shwetak N. Patel
2012 — conf
Performance-analysis-based acceleration of image quality assessment.
SSIAI
Thien D. Phan, Sohum Sohoni, Damon M. Chandler, Eric C. Larson
2012 Misc conf
SpiroSmart: using a microphone to measure lung function on a mobile phone.
UbiComp
Eric C. Larson, Mayank Goel, Gaetano Borriello, Sonya Heltshe, Margaret Rosenfeld, Shwetak N. Patel
2012 A* conf
The design and evaluation of prototype eco-feedback displays for fixture-level water usage data.
CHI
Jon Froehlich, Leah Findlater, Marilyn Ostergren, Solai Ramanathan, Josh Peterson, Inness Wragg, Eric C. Larson, Fabia Fu, Mazhengmin Bai, Shwetak N. Patel, James A. Landay
2011 — conf
A Broadened Approach to Understanding IT Organizational Structure.
AMCIS
Eric C. Larson, Carl R. Adams
2011 — conf
A Longitudinal Study of Pressure Sensing to Infer Real-World Water Usage Events in the Home.
Pervasive
Jon Froehlich, Eric C. Larson, Elliot Saba, Tim Campbell, Les E. Atlas, James Fogarty, Shwetak N. Patel
2011 Misc conf
Accurate and privacy preserving cough sensing using a low-cost microphone.
UbiComp
Eric C. Larson, TienJui Lee, Sean Liu, Margaret Rosenfeld, Shwetak N. Patel
2011 J jnl
Disaggregated End-Use Energy Sensing for the Smart Grid.
IEEE Pervasive Comput.
Jon Froehlich, Eric C. Larson, Sidhant Gupta, Gabe Cohn, Matthew S. Reynolds, Shwetak N. Patel
2011 A* conf
HeatWave: thermal imaging for surface user interaction.
CHI
Eric C. Larson, Gabe Cohn, Sidhant Gupta, Xiaofeng Ren, Beverly L. Harrison, Dieter Fox, Shwetak N. Patel
2010 J jnl
Facial Feature Tracking via Evolutionary Multiobjective Optimization.
Int. J. Appl. Evol. Comput.
Eric C. Larson, Gary G. Yen
2010 — conf
GasSense: Appliance-Level, Single-Point Sensing of Gas Activity in the Home.
Pervasive
Gabe Cohn, Sidhant Gupta, Jon Froehlich, Eric C. Larson, Shwetak N. Patel
2010 — conf
Increasing Coordination Demands and the Impact on CIO Rank.
HICSS
Eric C. Larson, Carl R. Adams
2010 J jnl
Most apparent distortion: full-reference image quality assessment and the role of strategy.
J. Electronic Imaging
Eric C. Larson, Damon M. Chandler
2010 Misc conf
WATTR: a method for self-powered wireless sensing of water activity in the home.
UbiComp
Tim Campbell, Eric C. Larson, Gabe Cohn, Ramses Alcaide, Shwetak N. Patel
2008 B conf
Can visual fixation patterns improve image fidelity assessment?
ICIP
Eric C. Larson, Cuong T. Vu, Damon M. Chandler
2008 B conf
Facial feature analysis in dynamic bandwidth environments: A genetic approach.
IEEE Congress on Evolutionary Computation
Eric C. Larson, Gary G. Yen
2008 — conf
Quantifying the perceived interest of objects in images: effects of size, location, blur, and contrast.
Human Vision and Electronic Imaging
Vamsi Kadiyala, Srivani Pinneli, Eric C. Larson, Damon M. Chandler
2007 — conf
A Trend Toward More Centralized Information Technology (IT) Management.
AMCIS
Carl R. Adams, Eric C. Larson, Weidong Xia