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ORCIDEric C. Larson
Eric Larson 0001
Person information
- affiliation: Southern Methodist University, Dallas, TX, USA
Other persons with the same name
- Eric Larson — disambiguation page
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Journal Articles
- 2023
[j22]Xinyi Ding
, Tao Han, Yili Fang, Eric C. Larson:
An approach for combining multimodal fusion and neural architecture search applied to knowledge tracing. Appl. Intell. 53(9): 11092-11103 (2023)- [j21]Hao Tian, Xi Jiang, Sian Xiao, Hunter La Force, Eric C. Larson, Peng Tao:
LAST: Latent Space-Assisted Adaptive Sampling for Protein Trajectories. J. Chem. Inf. Model. 63(1): 67-75 (2023) - [j20]Zhongdi Wu, Stuart Stothoff, Osvaldo Pensado, Jennifer Alford, Eric C. Larson:
Exploring Convolutional Neural Networks for Predicting Sentinel-C Backscatter Between Image Acquisitions. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - 2022
- [j19]Jason S. Hoffman, Varun Viswanath, Caiwei Tian, Xinyi Ding, Matthew J. Thompson, Eric C. Larson, Shwetak N. Patel, Edward Jay Wang:
Smartphone camera oximetry in an induced hypoxemia study. npj Digit. Medicine 5 (2022) - 2021
- [j18]Yu-Hsiang (John) Huang, Eric C. Larson, Michael J. Shaw, Ramanath Subramanyam:
Constructing information technology (IT) portfolios to achieve enterprise strategic goals in multi-business unit firms. Inf. Manag. 58(8): 103525 (2021) - [j17]Xinyi Ding, Eric C. Larson, Amanda Doyle, Kevin Donahoo, Radhika Rajgopal, Eric Bing:
EduAware: using tablet-based navigation gestures to predict learning module performance. Interact. Learn. Environ. 29(5): 720-732 (2021) - [j16]Justin C. Wilson, Suku Nair, Sandro Scielzo, Eric C. Larson:
Objective Measures of Cognitive Load Using Deep Multi-Modal Learning: A Use-Case in Aviation. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(1): 40:1-40:35 (2021) - [j15]Raghuram Srinivas, Niraj Verma, Elfi Kraka, Eric C. Larson:
Deep Learning-Based Ligand Design Using Shared Latent Implicit Fingerprints from Collaborative Filtering. J. Chem. Inf. Model. 61(5): 2159-2174 (2021) - 2020
- [j14]Xinyi Ding, Zohreh Raziei, Eric C. Larson, Eli V. Olinick, Paul Krueger, Michael Hahsler:
Swapped face detection using deep learning and subjective assessment. EURASIP J. Inf. Secur. 2020: 6 (2020) - [j13]Xinyi Ding, Eric C. Larson:
Incorporating uncertainties in student response modeling by loss function regularization. Neurocomputing 409: 74-82 (2020) - 2019
- [j12]Tyler Giallanza, Travis Siems, Elena Smith, Erik Gabrielsen, Ian Johnson, Mitchell A. Thornton, Eric C. Larson:
Keyboard Snooping from Mobile Phone Arrays with Mixed Convolutional and Recurrent Neural Networks. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(2): 45:1-45:22 (2019) - [j11]Eric C. Larson, Carl Vieregger:
Teaching Case: Strategic Actions in a Platform Context: What Should Facebook Do Next? J. Inf. Syst. Educ. 30(2): 97-105 (2019) - [j10]Xinyi Ding, Damoun Nassehi, Eric C. Larson:
Measuring Oxygen Saturation With Smartphone Cameras Using Convolutional Neural Networks. IEEE J. Biomed. Health Informatics 23(6): 2603-2610 (2019) - 2018
- [j9]Raghuram Srinivas, Pavel V. Klimovich, Eric C. Larson:
Implicit-descriptor ligand-based virtual screening by means of collaborative filtering. J. Cheminformatics 10(1): 56:1-56:20 (2018) - [j8]Eric C. Larson:
Teaching Case: Congratulations! ...to the World? One Person's Experience with Social Media. J. Inf. Syst. Educ. 29(3): 127-130 (2018) - 2017
- [j7]Chatchai Wangwiwattana, Xinyi Ding, Eric C. Larson:
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. 1(4): 171:1-171:26 (2017) - 2015
- [j6]Eric C. Larson, Matthew L. Nelson, Michelle Carter:
The FIRST+ Year Information Systems Faculty Experience. Commun. Assoc. Inf. Syst. 36: 32 (2015) - 2013
- [j5]Eric C. Larson:
Teaching Tip: Utilizing Classroom Simulation to Convey Key Concepts in IT Portfolio Management. J. Inf. Syst. Educ. 24(2): 99-104 (2013) - 2012
- [j4]Eric C. Larson, Jon Froehlich, Tim Campbell, Conor Haggerty, Les E. Atlas, James Fogarty, Shwetak N. Patel:
Disaggregated water sensing from a single, pressure-based sensor: An extended analysis of HydroSense using staged experiments. Pervasive Mob. Comput. 8(1): 82-102 (2012) - 2011
- [j3]Jon Froehlich, Eric C. Larson, Sidhant Gupta, Gabe Cohn, Matthew S. Reynolds, Shwetak N. Patel:
Disaggregated End-Use Energy Sensing for the Smart Grid. IEEE Pervasive Comput. 10(1): 28-39 (2011) - 2010
- [j2]Eric C. Larson, Gary G. Yen:
Facial Feature Tracking via Evolutionary Multiobjective Optimization. Int. J. Appl. Evol. Comput. 1(1): 57-71 (2010) - [j1]Eric C. Larson, Damon M. Chandler:
Most apparent distortion: full-reference image quality assessment and the role of strategy. J. Electronic Imaging 19(1): 011006 (2010)
Conference and Workshop Papers
- 2023
- [c51]Charles Sayre, Eric C. Larson, Gabs DiLiegro, Joseph Camp, Bruce Gnade:
Radiation Anomaly Detection Using an Adversarial Autoencoder. ACSSC 2023: 1010-1014 - [c50]Matthew Lee, Clayton A. Harper, William Flinchbaugh, Eric C. Larson, Mitchell A. Thornton:
Impacts of Synthetically Generated Data on Trackformer-based Multi-Object Tracking. AIPR 2023: 1-7 - [c49]Joshua Sylvester, Matthew Lee, Daniel Canon Ellis, Mitchell A. Thornton, Eric C. Larson:
Using Time Series Clustering to Inform Multimodal CNN Architectures. AIPR 2023: 1-8 - [c48]Zechariah Wolf, Eric Larson, Mitchell A. Thornton:
Data Leakage in Isolated Virtualized Enterprise Computing Systems. ICISSP 2023: 118-123 - [c47]Zhongdi Wu, Eric C. Larson, Makoto Sano, Doris Baker, Nathan Gage, Akihito Kamata:
Towards Scalable Vocabulary Acquisition Assessment with BERT. L@S 2023: 272-276 - 2022
- [c46]Darrell L. Young, Mark Bigham, Mark Bradbury, Eric Larson, Mitchell A. Thornton:
SMU-DDI Cyber Autonomy Range. AIPR 2022: 1-5 - [c45]George Sammit, Zhongjie Wu, Yihao Wang, Zhongdi Wu, Akihito Kamata, Joseph Nese, Eric C. Larson:
Automated Prosody Classification for Oral Reading Fluency with Quadratic Kappa Loss and Attentive X-Vectors. ICASSP 2022: 3613-3617 - [c44]Matthew Lee, Joshua Sylvester, Sunjoli Aggarwal, Aviraj Sinha, Michael A. Taylor, Nathan Srirama, Eric C. Larson, Mitchell A. Thornton:
Side Channel Identification using Granger Time Series Clustering with Applications to Control Systems. ICISSP 2022: 290-298 - [c43]Michael A. Taylor, Eric C. Larson, Mitchell A. Thornton:
General Process Detection Through Physical Side Channel Characterization. SysCon 2022: 1-8 - 2021
- [c42]Clayton A. Harper, Aviraj Sinha, Mitchell A. Thornton, Eric C. Larson:
SNR-Boosted Automatic Modulation Classification. ACSCC 2021: 372-375 - [c41]Aviraj Sinha, Michael A. Taylor, Nathan Srirama, Theodore W. Manikas, Eric C. Larson, Mitchell A. Thornton:
Industrial Control System Anomaly Detection Using Convolutional Neural Network Consensus. CCTA 2021: 693-700 - [c40]Vinson Luo, Lawrence J. Klinkert, Paul Foster, Ching-Yu Tseng, Elizabeth Adams, Leanne Ketterlin-Geller, Eric C. Larson, Corey Clark:
A Multidisciplinary Approach To Designing Immersive Gameplay Elements for Learning Standard-Based Educational Content. CHI PLAY 2021: 67-73 - [c39]Michael A. Taylor, Eric C. Larson, Mitchell A. Thornton:
Rapid Ransomware Detection through Side Channel Exploitation. CSR 2021: 47-54 - [c38]Luke Wood, Eric C. Larson:
Parametric Spectral Filters for Fast Converging, Scalable Convolutional Neural Networks. ICASSP 2021: 2800-2804 - [c37]Rob Oshana, Mitchell A. Thornton, Eric C. Larson, Xavier Roumegue:
Real-Time Edge Processing Detection of Malicious Attacks Using Machine Learning and Processor Core Events. SysCon 2021: 1-8 - 2020
- [c36]Clayton A. Harper, Lauren Lyons, Mitchell A. Thornton, Eric C. Larson:
Enhanced Automatic Modulation Classification using Deep Convolutional Latent Space Pooling. ACSSC 2020: 162-165 - [c35]Xinyi Ding, Eric C. Larson:
Automatic RNN Cell Design for Knowledge Tracing using Reinforcement Learning. L@S 2020: 285-288 - 2019
- [c34]Xinyi Ding, Eric C. Larson:
Why Deep Knowledge Tracing has less Depth than Anticipated. EDM 2019 - [c33]Scott C. Douglas, Eric C. Larson:
Relationships between Deep Learning and Linear Adaptive Systems. ICASSP 2019: 7755-7759 - [c32]Tyler Giallanza, Erik Gabrielsen, Michael A. Taylor, Eric C. Larson, Mitchell A. Thornton:
Task Value Calculus: Multi-Objective Trade off Analysis Using Multiple-Valued Decision Diagrams. ISMVL 2019: 126-131 - 2016
- [c31]Mayank Goel, Elliot Saba, Maia Stiber, Eric Whitmire, Josh Fromm, Eric C. Larson, Gaetano Borriello, Shwetak N. Patel:
SpiroCall: Measuring Lung Function over a Phone Call. CHI 2016: 5675-5685 - [c30]Spencer A. Kaiser, Ashley Parks, Patrick Leopard, Charlie A. Albright, Jake Carlson, Mayank Goel, Damoun Nassehi, Eric C. Larson:
Design and learnability of vortex whistles for managing chronic lung function via smartphones. UbiComp 2016: 569-580 - [c29]Eric C. Larson, Vidya V. Haran:
Locked in by Social Media Features? Translating Clicks and Comments into Value. WEB 2016: 104-109 - 2015
- [c28]Sohail Rafiqi, Chatchai Wangwiwattana, Ephrem Fernandez, Suku Nair, Eric C. Larson:
Work-in-Progress, PupilWare-M: Cognitive Load Estimation Using Unmodified Smartphone Cameras. MASS 2015: 645-650 - [c27]Ke-Yu Chen, Sidhant Gupta, Eric C. Larson, Shwetak N. Patel:
DOSE: Detecting user-driven operating states of electronic devices from a single sensing point. PerCom 2015: 46-54 - [c26]Sohail Rafiqi, Chatchai Wangwiwattana, Jasmine Kim, Ephrem Fernandez, Suku Nair, Eric C. Larson:
PupilWare: towards pervasive cognitive load measurement using commodity devices. PETRA 2015: 42:1-42:8 - 2014
- [c25]Eric C. Larson, Carl R. Adams:
Does Higher CIO Rank Serve as an Organizational Integration Mechanism? AMCIS 2014 - [c24]Lilian de Greef, James W. Stout, Mayank Goel, James A. Taylor, Min Joon Seo, Shwetak N. Patel, Eric C. Larson:
BiliCam: using mobile phones to monitor newborn jaundice. UbiComp Adjunct 2014: 39-42 - [c23]Lilian de Greef, Mayank Goel, Min Joon Seo, Eric C. Larson, James W. Stout, James A. Taylor, Shwetak N. Patel:
Bilicam: using mobile phones to monitor newborn jaundice. UbiComp 2014: 331-342 - [c22]Abhijeet Ghoshal, Eric C. Larson, Ramanath Subramanyam, Michael J. Shaw:
The Impact of Business Analytics Strategy on Social, Mobile, and Cloud Computing Adoption. ICIS 2014 - 2013
- [c21]Yu-Hsiang (John) Huang, Eric C. Larson, Michael J. Shaw:
Using a Mark-to-Market Valuation Technique to Objectively Measure IT Portfolio Value Creation. AMCIS 2013 - [c20]Yu-Ju Tu, Michael J. Shaw, Ramanath Subramanyam, Eric C. Larson:
An Examination of IT Initiative Portfolio Characteristics and Investment Allocation: A Computational Modeling and Simulation Approach. AMCIS 2013 - [c19]Eric C. Larson, Mayank Goel, Morgan Redfield, Gaetano Borriello, Margaret Rosenfeld, Shwetak N. Patel:
Tracking lung function on any phone. ACM DEV (3) 2013: 29:1-29:2 - [c18]Md Tanvir Islam Aumi, Sidhant Gupta, Mayank Goel, Eric C. Larson, Shwetak N. Patel:
DopLink: using the doppler effect for multi-device interaction. UbiComp 2013: 583-586 - [c17]Jack Lindsay, Iris Jiang, Eric C. Larson, Richard J. Adams, Shwetak N. Patel, Blake Hannaford:
Good vibrations: an evaluation of vibrotactile impedance matching for low power wearable applications. UIST 2013: 515-520 - 2012
- [c16]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:
The design and evaluation of prototype eco-feedback displays for fixture-level water usage data. CHI 2012: 2367-2376 - [c15]Elliot Saba, Eric C. Larson, Shwetak N. Patel:
Dante vision: In-air and touch gesture sensing for natural surface interaction with combined depth and thermal cameras. ESPA 2012: 167-170 - [c14]Eric C. Larson, Mayank Goel, Gaetano Borriello, Sonya Heltshe, Margaret Rosenfeld, Shwetak N. Patel:
SpiroSmart: using a microphone to measure lung function on a mobile phone. UbiComp 2012: 280-289 - [c13]Thien D. Phan, Sohum Sohoni, Damon M. Chandler, Eric C. Larson:
Performance-analysis-based acceleration of image quality assessment. SSIAI 2012: 81-84 - 2011
- [c12]Eric C. Larson, Carl R. Adams:
A Broadened Approach to Understanding IT Organizational Structure. AMCIS 2011 - [c11]Eric C. Larson, Gabe Cohn, Sidhant Gupta, Xiaofeng Ren, Beverly L. Harrison, Dieter Fox, Shwetak N. Patel:
HeatWave: thermal imaging for surface user interaction. CHI 2011: 2565-2574 - [c10]Eric C. Larson, TienJui Lee, Sean Liu, Margaret Rosenfeld, Shwetak N. Patel:
Accurate and privacy preserving cough sensing using a low-cost microphone. UbiComp 2011: 375-384 - [c9]Jon Froehlich, Eric C. Larson, Elliot Saba, Tim Campbell, Les E. Atlas, James Fogarty, Shwetak N. Patel:
A Longitudinal Study of Pressure Sensing to Infer Real-World Water Usage Events in the Home. Pervasive 2011: 50-69 - 2010
- [c8]Eric C. Larson, Carl R. Adams:
Increasing Coordination Demands and the Impact on CIO Rank. HICSS 2010: 1-12 - [c7]Tim Campbell, Eric C. Larson, Gabe Cohn, Ramses Alcaide, Shwetak N. Patel:
WATTR: a method for self-powered wireless sensing of water activity in the home. UbiComp 2010: 169-172 - [c6]Gabe Cohn, Sidhant Gupta, Jon Froehlich, Eric C. Larson, Shwetak N. Patel:
GasSense: Appliance-Level, Single-Point Sensing of Gas Activity in the Home. Pervasive 2010: 265-282 - 2009
- [c5]Jon Froehlich, Eric Larson, Tim Campbell, Conor Haggerty, James Fogarty, Shwetak N. Patel:
HydroSense: infrastructure-mediated single-point sensing of whole-home water activity. UbiComp 2009: 235-244 - 2008
- [c4]Eric C. Larson, Gary G. Yen:
Facial feature analysis in dynamic bandwidth environments: A genetic approach. IEEE Congress on Evolutionary Computation 2008: 2819-2826 - [c3]Vamsi Kadiyala, Srivani Pinneli, Eric C. Larson, Damon M. Chandler:
Quantifying the perceived interest of objects in images: effects of size, location, blur, and contrast. Human Vision and Electronic Imaging 2008: 68060S - [c2]Eric C. Larson, Cuong T. Vu, Damon M. Chandler:
Can visual fixation patterns improve image fidelity assessment? ICIP 2008: 2572-2575 - 2007
- [c1]Carl R. Adams, Eric C. Larson, Weidong Xia:
A Trend Toward More Centralized Information Technology (IT) Management. AMCIS 2007: 166
Parts in Books or Collections
- 2017
- [p1]Eric C. Larson, Elliot Saba, Spencer A. Kaiser, Mayank Goel, Shwetak N. Patel:
Pulmonary Monitoring Using Smartphones. Mobile Health - Sensors, Analytic Methods, and Applications 2017: 239-264
Informal and Other Publications
- 2024
- [i10]Jessie M. Henderson, Elena R. Henderson, Clayton A. Harper, Hiva Shahoei, William V. Oxford, Eric C. Larson, Duncan L. MacFarlane, Mitchell A. Thornton:
A Photonic Physically Unclonable Function's Resilience to Multiple-Valued Machine Learning Attacks. CoRR abs/2403.01299 (2024) - [i9]Elena R. Henderson, Jessie M. Henderson, Hiva Shahoei, William V. Oxford, Eric C. Larson, Duncan L. MacFarlane, Mitchell A. Thornton:
Designing a Photonic Physically Unclonable Function Having Resilience to Machine Learning Attacks. CoRR abs/2404.02440 (2024) - 2023
- [i8]Clayton A. Harper, Mitchell A. Thornton, Eric C. Larson:
Automatic Modulation Classification with Deep Neural Networks. CoRR abs/2301.11773 (2023) - [i7]Andrew Havard, Theodore W. Manikas, Eric C. Larson, Mitchell A. Thornton:
CNN-Assisted Steganography - Integrating Machine Learning with Established Steganographic Techniques. CoRR abs/2304.12503 (2023) - 2021
- [i6]Chatchai Wangwiwattana, Sunjoli Aggarwal, Eric C. Larson:
Writers Gonna Wait: The Effectiveness of Notifications to Initiate Aversive Action in Writing Procrastination. CoRR abs/2101.10191 (2021) - [i5]Nibhrat Lohia, Raunak Mundada, Arya D. McCarthy, Eric C. Larson:
AirWare: Utilizing Embedded Audio and Infrared Signals for In-Air Hand-Gesture Recognition. CoRR abs/2101.10245 (2021) - [i4]Xinyi Ding, Eric C. Larson:
On the Interpretability of Deep Learning Based Models for Knowledge Tracing. CoRR abs/2101.11335 (2021) - [i3]Jason S. Hoffman, Varun Viswanath, Xinyi Ding, Matthew J. Thompson, Eric C. Larson, Shwetak N. Patel, Edward Jay Wang:
Smartphone Camera Oximetry in an Induced Hypoxemia Study. CoRR abs/2104.00038 (2021) - [i2]Xinyi Ding, Tao Han, Yili Fang, Eric C. Larson:
An Approach for Combining Multimodal Fusion and Neural Architecture Search Applied to Knowledge Tracing. CoRR abs/2111.04497 (2021) - 2019
- [i1]Xinyi Ding, Zohreh Raziei, Eric C. Larson, Eli V. Olinick, Paul Krueger, Michael Hahsler:
Swapped Face Detection using Deep Learning and Subjective Assessment. CoRR abs/1909.04217 (2019)
Coauthor Index
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