Conrad S. Tucker

发表

Assessing causal claims about complex engineered systems with quantitative data: internal, external, and construct validity

David A. Broniatowski, Conrad S. Tucker, Conrad S. Tucker, 2017, Syst. Eng..

Do Technological Advancements Lead to Learning Enhancements?: An Exploration in Virtual Product Dissection

Conrad S. Tucker, Elizabeth M. Starkey, Cailyn Spencer, 2017 .

Real-Time Occlusion Between Real and Digital Objects in Augmented Reality

Conrad S. Tucker, Kevin Lesniak, 2018 .

Towards Real-time Ergonomics Feedback and Educational Content with the use of Co-Robots

Conrad S. Tucker, Christian Enmanuel Lopez, 2017 .

Exploring the correlation between new function attributes mined from different product domains and market sales

Conrad S. Tucker, Sung Woo Kang, 2017 .

Automated Mapping of Product Features Mined From Online Customer Reviews to Engineering Product Characteristics

Conrad S. Tucker, Conrad S. Tucker, Sung Woo Kang, 2016 .

Automated Concept Generation Based on Function-Form Synthesis

Conrad S. Tucker, Conrad S. Tucker, Sung Woo Kang, 2015, DAC 2015.

Evaluating the Impact of Idea Dissemination Methods on Information Loss

Conrad S. Tucker, Conrad S. Tucker, Zixuan Victoria Zhao, 2019, J. Comput. Inf. Sci. Eng..

From Mining Affective States to Mining Facial Keypoint Data: The Quest Towards Personalized Feedback

Conrad S. Tucker, Conrad S. Tucker, Christian Enmanuel Lopez, 2017 .

A Deep Learning Model for Mining Object-Energy Correlations Using Social Media Image Data

Matthew L. Dering, Kenneth M. Hopkinson, Conrad S. Tucker, 2018, Volume 1B: 38th Computers and Information in Engineering Conference.

Mining for Creativity: Determining the Creativity of Ideas Through Data Mining Techniques

Conrad S. Tucker, Elizabeth M. Starkey, Scarlett R. Miller, 2017 .

Assessment of product archaeology as a framework for contextualizing engineering design

Wei Chen, Deborah Moore-Russo, Phillip Cormier, 2014 .

Investigating the Impact of Interactive Immersive Virtual Reality Environments in Enhancing Task Performance in Online Engineering Design Activities

Conrad S. Tucker, Conrad S. Tucker, Ajay Karthic B. Gopinath Bharathi, 2015 .

Generative adversarial networks for increasing the veracity of big data

Matthew L. Dering, Conrad S. Tucker, Conrad S. Tucker, 2017, 2017 IEEE International Conference on Big Data (Big Data).

A Data Mining Trajectory Clustering Methodology for Modeling Indoor Design Space Utilization

Timothy W. Simpson, Conrad S. Tucker, Conrad S. Tucker, 2013, Design Automation Conference.

An unsupervised machine learning model for discovering latent infectious diseases using social media data

Sung Hoon Lim, Conrad S. Tucker, Conrad S. Tucker, 2017, J. Biomed. Informatics.

Knowledge discovery of game design features by mining user-generated feedback

Harriet Black Nembhard, Abhinav Singh, Conrad S. Tucker, 2016, Comput. Hum. Behav..

Knowledge Discovery of Student Sentiments in MOOCs and Their Impact on Course Performance

Conrad S. Tucker, Anna Divinsky, Bryan Dickens, 2014 .

Networked, Real Time Translation of 3D Mesh Data to Immersive Virtual Reality Environments

Janis Terpenny, Chimay J. Anumba, Sven G. Bilen, 2016 .

Modeling the Semantic Structure of Textually Derived Learning Content and its Impact on Recipients' Response States

Conrad S. Tucker, Conrad S. Tucker, David Munoz, 2016 .

Toward Personalized Adaptive Gamification: A Machine Learning Model for Predicting Performance

Conrad S. Tucker, Conrad S. Tucker, Christian Enmanuel Lopez, 2020, IEEE Transactions on Games.

Exploring the link between task complexity and students' affective states during engineering laboratory activities

Conrad S. Tucker, Timothy R. Brick, Qianyu Hu, 2016 .

Student Perceptions of Tactile and Virtual Learning Approaches: What Can We Learn from their Viewpoint?

Conrad S. Tucker, Conrad S. Tucker, Kathy Schmidt Jackson, 2013 .

Evaluating the Effectiveness of Virtual Reality As an Interactive Educational Resource for Additive Manufacturing

Conrad S. Tucker, Timothy W. Simpson, Nicholas Alexander Meisel, 2018 .

Optimal Product Portfolio Formulation by Merging Predictive Data Mining With Multilevel Optimization

Conrad S. Tucker, Conrad S. Tucker, Harrison Hyung Min Kim, 2008 .

Evaluating the Use of Virtual Reality to Teach Introductory Concepts of Additive Manufacturing

Timothy W. Simpson, Conrad S. Tucker, Conrad S. Tucker, 2020, Journal of Mechanical Design.

Mining Twitter data for causal links between tweets and real-world outcomes

Conrad S. Tucker, Conrad S. Tucker, Sunghoon Lim, 2019, Expert Syst. Appl. X.

Trending Mining for Predictive Product Design

Conrad S. Tucker, Harrison Hyung Min Kim, 2010, DAC 2010.

Human validation of computer vs human generated design sketches

Conrad S. Tucker, Scarlett R. Miller, Christian Enmanuel Lopez, 2018 .

A Privacy Preserving Data Mining Methodology for Dynamically Predicting Emerging Human Threats

Conrad S. Tucker, Gautam Manohar, 2013 .

Student preferences on tactile versus digital learning: implications for conceptual design

Gül E. Okudan Kremer, Conrad S. Tucker, Kathy L. Jackson, 2013 .

An ensemble heterogeneous classification methodology for discovering health-related knowledge in social media messages

Marcel Salathé, Conrad S. Tucker, Conrad S. Tucker, 2014, J. Biomed. Informatics.

Capturing Emergent Behavior In Systems Of Systems Design Through Data Trend Mining.

Conrad S. Tucker, Harrison Hyung Min Kim, John P. Eddy, 2010 .

Connecting the Real-World and the Virtual World Through Dynamic Environment Rendering

Conrad S. Tucker, Kevin Lesniak, 2017 .

A Comparative Study of Data-Intensive Demand Modeling Techniques in Relation to Product Design and Development

Christopher Hoyle, Conrad S. Tucker, Conrad S. Tucker, 2009, DAC 2009.

Cybersecurity Policies and Their Impact on Dynamic Data Driven Application Systems

Conrad S. Tucker, Kevin Lesniak, Samuel Klein, 2017, 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems (FAS*W).

A Product Feature Inference Model for Mining Implicit Customer Preferences Within Large Scale Social Media Networks

Conrad S. Tucker, Conrad S. Tucker, Suppawong Tuarob, 2015 .

How are you feeling?: A personalized methodology for predicting mental states from temporally observable physical and behavioral information

C. Lee Giles, Conrad S. Tucker, Conrad S. Tucker, 2017, J. Biomed. Informatics.

Automated Discovery of Product Feature Inferences Within Large-Scale Implicit Social Media Data

Conrad S. Tucker, Conrad S. Tucker, Suppawong Tuarob, 2018, J. Comput. Inf. Sci. Eng..

Quantifying Emotional States Based on Body Language Data Using Non Invasive Sensors

Conrad S. Tucker, Ishan Behoora, 2014 .

On the ground validation of online diagnosis with Twitter and medical records pdf

Marcel Salathé, Todd J. Bodnar, Conrad S. Tucker, 2014, WWW.

The development of product archaeology as a platform for contextualizing engineering design

Wei Chen, Gül E. Okudan Kremer, Steven B. Shooter, 2013 .

Towards Personalized Performance Feedback: Mining the Dynamics of Facial Keypoint Data in Engineering Lab Environments

Conrad S. Tucker, Christian Enmanuel Lopez, 2018 .

A Privacy Preserving Data Mining Methodology for Dynamically Predicting Emerging Human Threats DETC2013-13155

Conrad S. Tucker, Gautam Manohar, 2013 .

Categorization of Information Loss During the Dissemination of Design Ideas

Conrad S. Tucker, Victoria Zhao, 2018 .

A Convolutional Neural Network Model for Predicting a Product's Function, Given Its Form

Matthew L. Dering, Conrad S. Tucker, 2017 .

An automated approach to quantifying functional interactions by mining large-scale product specification data

Conrad S. Tucker, Conrad S. Tucker, Sung Woo Kang, 2016 .

Investigating the Heterogeneity of Product Feature Preferences Mined Using Online Product Data Streams

Abhinav Singh, Conrad S. Tucker, 2015, DAC 2015.

Quantifying the Mismatch Between Course Content and Students’ Dialogue in Online Learning Environments

Conrad S. Tucker, Kathryn Weed Jablokow, Bart Pursel, 2017 .

A Bisociative Design Framework for Knowledge Discovery Across Seemingly Unrelated Product Domains

Conrad S. Tucker, Sung Woo Kang, 2012, DAC 2012.

Product Architecture Design and Reconfiguration using Expectation Maximization and Decision Tree Classification

Conrad S. Tucker, Harrison Hyung Min Kim, 2008 .

A ReliefF attribute weighting and X-means clustering methodology for top-down product family optimization

Yuanhui Zhang, Conrad S. Tucker, Conrad S. Tucker, 2010, Engineering Optimization.

Board # 91 :When to Provide Feedback? Exploring Human-Co-Robot Interactions in Engineering Environments

Conrad S. Tucker, Christian Enmanuel Lopez, 2017 .

A validation neural network (VNN) metamodel for predicting the performance of deep generative designs

Conrad S. Tucker, James Cunningham, 2018, DAC 2018.

Digital Representation of Physical Artifacts: The Effect of Low Cost, High Accuracy 3D Scanning Technologies on Engineering Education, Student Learning and Design Evaluation

Conrad S. Tucker, Conrad S. Tucker, Nitish Vasudevan, 2013 .

Discovering Next Generation Product Innovations by Identifying Lead User Preferences Expressed Through Large Scale Social Media Data

Conrad S. Tucker, Conrad S. Tucker, Suppawong Tuarob, 2014 .

Data trend mining for predictive systems design

Conrad S. Tucker, Conrad S. Tucker, 2011 .

Mining End-of-Life Materials Suitable for Material Resynthesis and Discovering New Application Domains

Conrad S. Tucker, Kristopher Doll, 2014 .

Validation of the Kinect System for Industrial Motion Analysis

Conrad S. Tucker, A. Freivalds, J. Chang, 2015 .

Data-Mining Driven Reconfigurable Product Family Design Framework for Aerodynamic Particle Separators

Yuanhui Zhang, Conrad S. Tucker, Conrad S. Tucker, 2008 .

Trend Mining for Predictive Product Design

Conrad S. Tucker, Conrad S. Tucker, Harrison Hyung Min Kim, 2011 .

A quantitative method for evaluating the complexity of implementing and performing game features in physically-interactive gamified applications

Conrad S. Tucker, Conrad S. Tucker, Christian E. Lopez, 2017, Comput. Hum. Behav..

Quantifying Product Favorability and Extracting Notable Product Features Using Large Scale Social Media Data

Conrad S. Tucker, Conrad S. Tucker, Suppawong Tuarob, 2015, J. Comput. Inf. Sci. Eng..

An unsupervised machine learning method for discovering patient clusters based on genetic signatures

Conrad S. Tucker, Conrad S. Tucker, Scott Tucker, 2018, J. Biomed. Informatics.

Modeling Individual-Level Infection Dynamics Using Social Network Information

Marcel Salathé, Conrad S. Tucker, Conrad S. Tucker, 2015, CIKM.

Mitigating Online Product Rating Biases Through the Discovery of Optimistic, Pessimistic, and Realistic Reviewers

Conrad S. Tucker, Conrad S. Tucker, Sunghoon Lim, 2017 .

Data-driven optimization of dynamic reconfigurable systems of systems.

Conrad S. Tucker, Conrad S. Tucker, John P. Eddy, 2010 .

A semantic network model for measuring engagement and performance in online learning platforms

Sung Hoon Lim, Conrad S. Tucker, Conrad S. Tucker, 2018, Comput. Appl. Eng. Educ..

Exploring Human-Co-Robot Interactions: Real-time Feedback or not?

Conrad S. Tucker, Christian Enmanuel Lopez, 2018 .

The Evolution of Tactile and Digital Learning Preferences in Undergraduate Engineering Education

Linda C. Schmidt, Kathy Schmidt-Jackson, Peifeng Yin, 2014 .

Product Resynthesis as a Reverse Logistics Strategy for an Optimal Closed-Loop Supply Chain

Conrad S. Tucker, Chinmay Sane, 2013 .

A Computer Vision Approach for Automatically Mining and Classifying End of Life Products and Components

Matthew L. Dering, Conrad S. Tucker, 2015 .

The effects of player type on performance: A gamification case study

Conrad S. Tucker, Conrad S. Tucker, Christian E. Lopez, 2019, Comput. Hum. Behav..

Dynamic Rendering of Remote Indoor Environments Using Real-Time Point Cloud Data

Conrad S. Tucker, Conrad S. Tucker, Kevin Lesniak, 2018, J. Comput. Inf. Sci. Eng..

A machine learning approach to product review disambiguation based on function, form and behavior classification

Abhinav Singh, Conrad S. Tucker, 2017, Decis. Support Syst..

Automatic Discovery of Service Name Replacements Using Ledger Data

Sechan Oh, Ray Strong, Conrad S. Tucker, 2015, 2015 IEEE International Conference on Services Computing.

Data-Driven Decision Tree Classification for Product Portfolio Design Optimization

Conrad S. Tucker, Conrad S. Tucker, Harrison Hyung Min Kim, 2009, J. Comput. Inf. Sci. Eng..

Optimal product portfolio formulation: Merging predictive data mining with analytical target cascading

Conrad S. Tucker, Harrison Hyung Min Kim, 2006 .

The Assessment of Product Archaeology as a Platform for Contextualizing Engineering Design

Gül E. Okudan Kremer, Deborah Moore-Russo, Conrad S. Tucker, 2013 .

Open Source 3D Scanning and Printing for Design Capture and Realization

Conrad S. Tucker, Ishan Behoora, Alexandre Marcireau, 2014 .

Implications of Generative Models in Government

Matthew L. Dering, Conrad S. Tucker, Conrad S. Tucker, 2017, AAAI Fall Symposia.

Automated Discovery of Lead Users and Latent Product Features by Mining Large Scale Social Media Networks

Conrad S. Tucker, Conrad S. Tucker, Suppawong Tuarob, 2015 .

Exposure to Digital and Hands-on Delivery Modes in Engineering Design Education and Their Impact on Task Completion Efficiency

Gül E. Okudan Kremer, Conrad S. Tucker, Conrad S. Tucker, 2017, J. Integr. Des. Process. Sci..

An Introduction to the CLICK Approach: Leveraging Virtual Reality to Integrate the Industrial Engineering Curriculum

Conrad S. Tucker, Conrad S. Tucker, Christian Enmanuel Lopez, 2019 .

Product Resynthesis: Knowledge Discovery of the Value of End-of-Life Assemblies and Subassemblies

Conrad S. Tucker, Conrad S. Tucker, Sung Woo Kang, 2014 .

An Unsupervised Machine Learning Approach to Assessing Designer Performance During Physical Prototyping

Matthew L. Dering, Soundar Kumara, Conrad S. Tucker, 2018, J. Comput. Inf. Sci. Eng..

Special Issue: Machine Learning for Engineering Design

Jitesh H. Panchal, Mark Fuge, Conrad S. Tucker, 2019 .

Discovering Discontinuity in Big Financial Transaction Data

Ray Strong, Conrad S. Tucker, Conrad S. Tucker, 2018, ACM Trans. Manag. Inf. Syst..

Quantifying the Relevance of Product Feature Classification in Product Family Design

Conrad S. Tucker, Conrad S. Tucker, 2014 .

When to provide feedback? Exploring human-co-robot interactions in engineering enviroments

Conrad S. Tucker, Conrad S. Tucker, Christian Enmanuel Lopez, 2017 .

Two Sides of a Coin: Separating Personal Communication and Public Dissemination Accounts in Twitter

Wang-Chien Lee, Marcel Salathé, Shashank Khandelwal, 2014, PAKDD.

Machine learning classification of design team members' body language patterns for real time emotional state detection

Conrad S. Tucker, Conrad S. Tucker, Ishan Behoora, 2015 .

Mining Facial Keypoint Data: The Quest Toward Personalized Engineering Applications

Conrad S. Tucker, Conrad S. Tucker, Christian Enmanuel Lopez, 2019, Emotional Engineering, Vol.7.

Mining Student-Generated Textual Data In MOOCS And Quantifying Their Effects on Student Performance and Learning Outcomes

Conrad S. Tucker, Conrad S. Tucker, Anna Divinsky, 2014 .

A Virtual Reality Approach for Minimizing Information Loss in Multi-User, Scalable Environments

Conrad S. Tucker, Bryan Dickens, Steven Sellers, 2015 .

A Bayesian Sampling Method for Product Feature Extraction From Large-Scale Textual Data

Conrad S. Tucker, Conrad S. Tucker, Sunghoon Lim, 2016 .

Discovering health-related knowledge in social media using ensembles of heterogeneous features

Marcel Salathé, Conrad S. Tucker, Conrad S. Tucker, 2013, CIKM.

TwittDict: Extracting Social Oriented Keyphrase Semantics from Twitter

Conrad S. Tucker, Conrad S. Tucker, Suppawong Tuarob, 2015, Proceedings of the ACL 2015 Workshop on Novel Computational Approaches to Keyphrase Extraction.

Quantifying the Price and Demand of Subassemblies in the End of Life Strategy of Product Resynthesis

Conrad S. Tucker, Conrad S. Tucker, Suja Rose John, 2014 .

Increasing the veracity of event detection on social media networks through user trust modeling

Sven G. Bilen, Kenneth M. Hopkinson, Todd J. Bodnar, 2014, 2014 IEEE International Conference on Big Data (Big Data).

Data-Throughput Enhancement Using Data Mining-Informed Cognitive Radio

Khashayar Kotobi, Sven G. Bilen, Conrad S. Tucker, 2015 .

An Analysis of Complexity Measures for Product Design and Development

Gül E. Okudan Kremer, Lourdes A. Medina, Conrad S. Tucker, 2012, DAC 2012.

Product Family Concept Generation and Validation Through Predictive Decision Tree Data Mining and Multi-Level Optimization

Conrad S. Tucker, Harrison Hyung Min Kim, 2007, DAC 2007.