A Trend Toward More Centralized Information Technology (IT) Management. - Carl R. Adams; Eric C. Larson; Weidong Xia (AMCIS, 2007)

Facial feature analysis in dynamic bandwidth environments: A genetic approach. - Eric C. Larson; Gary G. Yen (IEEE Congress on Evolutionary Computation, 2008)

Quantifying the perceived interest of objects in images: effects of size, location, blur, and contrast. - Vamsi Kadiyala; Srivani Pinneli; Eric C. Larson; Damon M. Chandler (Human Vision and Electronic Imaging, 2008)

Can visual fixation patterns improve image fidelity assessment? - Eric C. Larson; Cuong T. Vu; Damon M. Chandler (ICIP, 2008)

HydroSense: infrastructure-mediated single-point sensing of whole-home water activity. - Jon Froehlich; Eric Larson 001; Tim Campbell; Conor Haggerty; James Fogarty; Shwetak N. Patel (UbiComp, 2009)

Increasing Coordination Demands and the Impact on CIO Rank. - Eric C. Larson; Carl R. Adams (HICSS, 2010)

WATTR: a method for self-powered wireless sensing of water activity in the home. - Tim Campbell; Eric C. Larson; Gabe Cohn; Ramses Alcaide; Shwetak N. Patel (UbiComp, 2010)

GasSense: Appliance-Level, Single-Point Sensing of Gas Activity in the Home. - Gabe Cohn; Sidhant Gupta; Jon Froehlich; Eric C. Larson; Shwetak N. Patel (Pervasive, 2010)

Facial Feature Tracking via Evolutionary Multiobjective Optimization. - Eric C. Larson; Gary G. Yen (Int. J. Appl. Evol. Comput., 2010)

Most apparent distortion: full-reference image quality assessment and the role of strategy. - Eric C. Larson; Damon M. Chandler (J. Electronic Imaging, 2010)

A Broadened Approach to Understanding IT Organizational Structure. - Eric C. Larson; Carl R. Adams (AMCIS, 2011)

HeatWave: thermal imaging for surface user interaction. - Eric C. Larson; Gabe Cohn; Sidhant Gupta; Xiaofeng Ren; Beverly L. Harrison; Dieter Fox; Shwetak N. Patel (CHI, 2011)

Accurate and privacy preserving cough sensing using a low-cost microphone. - Eric C. Larson; TienJui Lee; Sean Liu; Margaret Rosenfeld; Shwetak N. Patel (UbiComp, 2011)

A Longitudinal Study of Pressure Sensing to Infer Real-World Water Usage Events in the Home. - Jon Froehlich; Eric C. Larson; Elliot Saba; Tim Campbell; Les E. Atlas; James Fogarty; Shwetak N. Patel (Pervasive, 2011)

Disaggregated End-Use Energy Sensing for the Smart Grid. - Jon Froehlich; Eric C. Larson; Sidhant Gupta; Gabe Cohn; Matthew S. Reynolds; Shwetak N. Patel (IEEE Pervasive Comput., 2011)

The design and evaluation of prototype eco-feedback displays for fixture-level water usage data. - 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 (CHI, 2012)

Dante vision: In-air and touch gesture sensing for natural surface interaction with combined depth and thermal cameras. - Elliot Saba; Eric C. Larson; Shwetak N. Patel (ESPA, 2012)

SpiroSmart: using a microphone to measure lung function on a mobile phone. - Eric C. Larson; Mayank Goel; Gaetano Borriello; Sonya Heltshe; Margaret Rosenfeld; Shwetak N. Patel (UbiComp, 2012)

Performance-analysis-based acceleration of image quality assessment. - Thien D. Phan; Sohum Sohoni; Damon M. Chandler; Eric C. Larson (SSIAI, 2012)

Disaggregated water sensing from a single, pressure-based sensor: An extended analysis of HydroSense using staged experiments. - Eric C. Larson; Jon Froehlich; Tim Campbell; Conor Haggerty; Les E. Atlas; James Fogarty; Shwetak N. Patel (Pervasive Mob. Comput., 2012)

Using a Mark-to-Market Valuation Technique to Objectively Measure IT Portfolio Value Creation. - Yu-Hsiang (John) Huang; Eric C. Larson; Michael J. Shaw (AMCIS, 2013)

An Examination of IT Initiative Portfolio Characteristics and Investment Allocation: A Computational Modeling and Simulation Approach. - Yu-Ju Tu; Michael J. Shaw; Ramanath Subramanyam; Eric C. Larson (AMCIS, 2013)

Tracking lung function on any phone. - Eric C. Larson; Mayank Goel; Morgan Redfield; Gaetano Borriello; Margaret Rosenfeld; Shwetak N. Patel (ACM DEV (3), 2013)

DopLink: using the doppler effect for multi-device interaction. - Md Tanvir Islam Aumi; Sidhant Gupta; Mayank Goel; Eric C. Larson; Shwetak N. Patel (UbiComp, 2013)

Good vibrations: an evaluation of vibrotactile impedance matching for low power wearable applications. - Jack Lindsay; Iris Jiang; Eric C. Larson; Richard J. Adams; Shwetak N. Patel; Blake Hannaford (UIST, 2013)

Teaching Tip: Utilizing Classroom Simulation to Convey Key Concepts in IT Portfolio Management. - Eric C. Larson (J. Inf. Syst. Educ., 2013)

Does Higher CIO Rank Serve as an Organizational Integration Mechanism? - Eric C. Larson; Carl R. Adams (AMCIS, 2014)

Bilicam: using mobile phones to monitor newborn jaundice. - Lilian de Greef; Mayank Goel; Min Joon Seo; Eric C. Larson; James W. Stout; James A. Taylor 001; Shwetak N. Patel (UbiComp, 2014)

The Impact of Business Analytics Strategy on Social, Mobile, and Cloud Computing Adoption. - Abhijeet Ghoshal; Eric C. Larson; Ramanath Subramanyam; Michael J. Shaw (ICIS, 2014)

Work-in-Progress, PupilWare-M: Cognitive Load Estimation Using Unmodified Smartphone Cameras. - Sohail Rafiqi; Chatchai Wangwiwattana; Ephrem Fernandez; Suku Nair; Eric C. Larson (MASS, 2015)

DOSE: Detecting user-driven operating states of electronic devices from a single sensing point. - Ke-Yu Chen; Sidhant Gupta; Eric C. Larson; Shwetak N. Patel (PerCom, 2015)

PupilWare: towards pervasive cognitive load measurement using commodity devices. - Sohail Rafiqi; Chatchai Wangwiwattana; Jasmine Kim; Ephrem Fernandez; Suku Nair; Eric C. Larson (PETRA, 2015)

The FIRST+ Year Information Systems Faculty Experience. - Eric C. Larson; Matthew L. Nelson; Michelle Carter 001 (Commun. Assoc. Inf. Syst., 2015)

SpiroCall: Measuring Lung Function over a Phone Call. - Mayank Goel; Elliot Saba; Maia Stiber; Eric Whitmire; Josh Fromm; Eric C. Larson; Gaetano Borriello; Shwetak N. Patel (CHI, 2016)

Design and learnability of vortex whistles for managing chronic lung function via smartphones. - Spencer A. Kaiser; Ashley Parks; Patrick Leopard; Charlie A. Albright; Jake Carlson; Mayank Goel; Damoun Nassehi; Eric C. Larson (UbiComp, 2016)

Locked in by Social Media Features? Translating Clicks and Comments into Value. - Eric C. Larson; Vidya V. Haran (WEB, 2016)

Pulmonary Monitoring Using Smartphones. - Eric C. Larson; Elliot Saba; Spencer A. Kaiser; Mayank Goel; Shwetak N. Patel (Mobile Health - Sensors, Analytic Methods, and Applications, 2017)

PupilNet, Measuring Task Evoked Pupillary Response using Commodity RGB Tablet Cameras: Comparison to Mobile, Infrared Gaze Trackers for Inferring Cognitive Load. - Chatchai Wangwiwattana; Xinyi Ding 001; Eric C. Larson (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

Implicit-descriptor ligand-based virtual screening by means of collaborative filtering. - Raghuram Srinivas; Pavel V. Klimovich; Eric C. Larson (J. Cheminformatics, 2018)

Teaching Case: Congratulations! ...to the World? One Person's Experience with Social Media. - Eric C. Larson (J. Inf. Syst. Educ., 2018)

Why Deep Knowledge Tracing has less Depth than Anticipated. - Xinyi Ding 001; Eric C. Larson (EDM, 2019)

Relationships between Deep Learning and Linear Adaptive Systems. - Scott C. Douglas; Eric C. Larson (ICASSP, 2019)

Task Value Calculus: Multi-Objective Trade off Analysis Using Multiple-Valued Decision Diagrams. - Tyler Giallanza; Erik Gabrielsen; Michael A. Taylor 001; Eric C. Larson; Mitchell A. Thornton (ISMVL, 2019)

Keyboard Snooping from Mobile Phone Arrays with Mixed Convolutional and Recurrent Neural Networks. - Tyler Giallanza; Travis Siems; Elena Smith; Erik Gabrielsen; Ian Johnson; Mitchell A. Thornton; Eric C. Larson (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

Teaching Case: Strategic Actions in a Platform Context: What Should Facebook Do Next? - Eric C. Larson; Carl Vieregger (J. Inf. Syst. Educ., 2019)

Measuring Oxygen Saturation With Smartphone Cameras Using Convolutional Neural Networks. - Xinyi Ding 001; Damoun Nassehi; Eric C. Larson (IEEE J. Biomed. Health Informatics, 2019)

Enhanced Automatic Modulation Classification using Deep Convolutional Latent Space Pooling. - Clayton A. Harper; Lauren Lyons; Mitchell A. Thornton; Eric C. Larson (ACSSC, 2020)

Automatic RNN Cell Design for Knowledge Tracing using Reinforcement Learning. - Xinyi Ding 001; Eric C. Larson (L@S, 2020)

Swapped face detection using deep learning and subjective assessment. - Xinyi Ding 001; Zohreh Raziei; Eric C. Larson; Eli V. Olinick; Paul Krueger; Michael Hahsler (EURASIP J. Inf. Secur., 2020)

Incorporating uncertainties in student response modeling by loss function regularization. - Xinyi Ding 001; Eric C. Larson (Neurocomputing, 2020)

SNR-Boosted Automatic Modulation Classification. - Clayton A. Harper; Aviraj Sinha; Mitchell A. Thornton; Eric C. Larson (ACSCC, 2021)

Industrial Control System Anomaly Detection Using Convolutional Neural Network Consensus. - Aviraj Sinha; Michael A. Taylor 001; Nathan Srirama; Theodore W. Manikas; Eric C. Larson; Mitchell A. Thornton (CCTA, 2021)

A Multidisciplinary Approach To Designing Immersive Gameplay Elements for Learning Standard-Based Educational Content. - Vinson Luo; Lawrence J. Klinkert; Paul Foster; Ching-Yu Tseng; Elizabeth Adams; Leanne Ketterlin-Geller; Eric C. Larson; Corey Clark (CHI PLAY, 2021)

Rapid Ransomware Detection through Side Channel Exploitation. - Michael A. Taylor 001; Eric C. Larson; Mitchell A. Thornton (CSR, 2021)

Parametric Spectral Filters for Fast Converging, Scalable Convolutional Neural Networks. - Luke Wood; Eric C. Larson (ICASSP, 2021)

Real-Time Edge Processing Detection of Malicious Attacks Using Machine Learning and Processor Core Events. - Rob Oshana; Mitchell A. Thornton; Eric C. Larson; Xavier Roumegue (SysCon, 2021)

Writers Gonna Wait: The Effectiveness of Notifications to Initiate Aversive Action in Writing Procrastination. - Chatchai Wangwiwattana; Sunjoli Aggarwal; Eric C. Larson (CoRR, 2021)

AirWare: Utilizing Embedded Audio and Infrared Signals for In-Air Hand-Gesture Recognition. - Nibhrat Lohia; Raunak Mundada; Arya D. McCarthy; Eric C. Larson (CoRR, 2021)

On the Interpretability of Deep Learning Based Models for Knowledge Tracing. - Xinyi Ding 001; Eric C. Larson (CoRR, 2021)

Smartphone Camera Oximetry in an Induced Hypoxemia Study. - Jason S. Hoffman; Varun K. Viswanath; Xinyi Ding 001; Matthew J. Thompson; Eric C. Larson; Shwetak N. Patel; Edward Jay Wang (CoRR, 2021)

Constructing information technology (IT) portfolios to achieve enterprise strategic goals in multi-business unit firms. - Yu-Hsiang (John) Huang; Eric C. Larson; Michael J. Shaw; Ramanath Subramanyam (Inf. Manag., 2021)

EduAware: using tablet-based navigation gestures to predict learning module performance. - Xinyi Ding 001; Eric C. Larson; Amanda Doyle; Kevin Donahoo; Radhika Rajgopal; Eric Bing (Interact. Learn. Environ., 2021)

Objective Measures of Cognitive Load Using Deep Multi-Modal Learning: A Use-Case in Aviation. - Justin C. Wilson; Suku Nair; Sandro Scielzo; Eric C. Larson (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

Deep Learning-Based Ligand Design Using Shared Latent Implicit Fingerprints from Collaborative Filtering. - Raghuram Srinivas; Niraj Verma; Elfi Kraka; Eric C. Larson (J. Chem. Inf. Model., 2021)

SMU-DDI Cyber Autonomy Range. - Darrell L. Young; Mark Bigham; Mark Bradbury; Eric Larson 001; Mitchell A. Thornton (AIPR, 2022)

Automated Prosody Classification for Oral Reading Fluency with Quadratic Kappa Loss and Attentive X-Vectors. - George Sammit; Zhongjie Wu; Yihao Wang; Zhongdi Wu; Akihito Kamata; Joseph Nese; Eric C. Larson (ICASSP, 2022)

Side Channel Identification using Granger Time Series Clustering with Applications to Control Systems. - Matthew Lee 017; Joshua Sylvester; Sunjoli Aggarwal; Aviraj Sinha; Michael A. Taylor 001; Nathan Srirama; Eric C. Larson; Mitchell A. Thornton (ICISSP, 2022)

General Process Detection Through Physical Side Channel Characterization. - Michael A. Taylor 001; Eric C. Larson; Mitchell A. Thornton (SysCon, 2022)

Smartphone camera oximetry in an induced hypoxemia study. - Jason S. Hoffman; Varun K. Viswanath; Caiwei Tian; Xinyi Ding 001; Matthew J. Thompson; Eric C. Larson; Shwetak N. Patel; Edward Jay Wang (npj Digit. Medicine, 2022)

Radiation Anomaly Detection Using an Adversarial Autoencoder. - Charles Sayre; Eric C. Larson; Gabs DiLiegro; Joseph Camp; Bruce Gnade (ACSSC, 2023)

Impacts of Synthetically Generated Data on Trackformer-based Multi-Object Tracking. - Matthew Lee 017; Clayton A. Harper; William Flinchbaugh; Eric C. Larson; Mitchell A. Thornton (AIPR, 2023)

Using Time Series Clustering to Inform Multimodal CNN Architectures. - Joshua Sylvester; Matthew Lee 017; Daniel Canon Ellis; Mitchell A. Thornton; Eric C. Larson (AIPR, 2023)

Data Leakage in Isolated Virtualized Enterprise Computing Systems. - Zechariah Wolf; Eric Larson 001; Mitchell A. Thornton (ICISSP, 2023)

Towards Scalable Vocabulary Acquisition Assessment with BERT. - Zhongdi Wu; Eric C. Larson; Makoto Sano; Doris Baker; Nathan Gage; Akihito Kamata (L@S, 2023)

Automatic Modulation Classification with Deep Neural Networks. - Clayton A. Harper; Mitchell A. Thornton; Eric C. Larson (CoRR, 2023)

CNN-Assisted Steganography - Integrating Machine Learning with Established Steganographic Techniques. - Andrew Havard; Theodore W. Manikas; Eric C. Larson; Mitchell A. Thornton (CoRR, 2023)

LAST: Latent Space-Assisted Adaptive Sampling for Protein Trajectories. - Hao Tian 010; Xi Jiang 008; Sian Xiao; Hunter La Force; Eric C. Larson; Peng Tao 001 (J. Chem. Inf. Model., 2023)

Exploring Convolutional Neural Networks for Predicting Sentinel-C Backscatter Between Image Acquisitions. - Zhongdi Wu; Stuart Stothoff; Osvaldo Pensado; Jennifer Alford; Eric C. Larson (IEEE Trans. Geosci. Remote. Sens., 2023)

An approach for combining multimodal fusion and neural architecture search applied to knowledge tracing. - Xinyi Ding 001; Tao Han 003; Yili Fang; Eric C. Larson (Appl. Intell., 2023)

Learnable Statistical Moments Pooling for Automatic Modulation Classification. - Clayton A. Harper; Mitchell A. Thornton; Eric C. Larson (ICASSP, 2024)

Improving Oral Reading Fluency Assessment Through Sub-Sequence Matching of Acoustic Word Embeddings. - Yihao Wang; Zhongdi Wu; Joseph Nese; Akihito Kamata; Vedant Nilabh; Eric C. Larson (ICASSP, 2024)

A Photonic Physically Unclonable Function's Resilience to Multiple-Valued Machine Learning Attacks. - Jessie M. Henderson; Elena R. Henderson; Clayton A. Harper; Hiva Shahoei; William V. Oxford; Eric C. Larson; Duncan L. MacFarlane; Mitchell A. Thornton (ISMVL, 2024)

Designing a Photonic Physically Unclonable Function Having Resilience to Machine Learning Attacks. - Elena R. Henderson; Jessie M. Henderson; Hiva Shahoei; William V. Oxford; Eric C. Larson; Duncan L. MacFarlane; Mitchell A. Thornton (CoRR, 2024)

Digit Recognition using Multimodal Spiking Neural Networks. - William Bjorndahl; Jack Easton; Austin Modoff; Eric C. Larson; Joseph Camp; Prasanna Rangarajan (CoRR, 2024)

Scaling Continuous Kernels with Sparse Fourier Domain Learning. - Clayton A. Harper; Luke Wood; Peter Gerstoft; Eric C. Larson (CoRR, 2024)

Cottention: Linear Transformers With Cosine Attention. - Gabriel Mongaras; Trevor Dohm; Eric C. Larson (CoRR, 2024)

Effects of Redundant LiDAR Sensors on Object Hiding Attacks in Autonomous Driving Systems. - Matthew Lee 017; William Flinchbaugh; Eric C. Larson; Mitchell A. Thornton (COMPSAC, 2025)

A Unified Model for Oral Reading Fluency and Student Prosody. - Yihao Wang; Zhongdi Wu; Joseph Nese; Akihito Kamata; Vedant Nilabh; Eric C. Larson (ICASSP, 2025)

MUSIC Spectra Using Cayley Graphs of Multiple-Valued Signals. - Aviraj Sinha; Darrell L. Young; Eric C. Larson; Mitchell A. Thornton (ISMVL, 2025)

Equitable Electronic Health Record Prediction with FAME: Fairness-Aware Multimodal Embedding. - Nikkie Hooman; Zhongjie Wu; Eric C. Larson; Mehak Gupta (CoRR, 2025)

On the Expressiveness of Softmax Attention: A Recurrent Neural Network Perspective. - Gabriel Mongaras; Eric C. Larson (CoRR, 2025)