Soumya Ray

Orcid: 0000-0002-6673-6796

According to our database1, Soumya Ray authored at least 78 papers between 2001 and 2024.

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Bibliography

2024
The Composite Overfit Analysis Framework: Assessing the Out-of-Sample Generalizability of Construct-Based Models Using Predictive Deviance, Deviance Trees, and Unstable Paths.
Manag. Sci., 2024

Reimagining the Journal Editorial Process: An AI-Augmented Versus an AI-Driven Future.
J. Assoc. Inf. Syst., 2024

2023
On the Relationship between Feature Selection Metrics and Accuracy.
Entropy, December, 2023

Fighting for the status quo: Threat to tech self-esteem and opposition to competing smartphones.
Inf. Manag., March, 2023

An Innovative Technique for DDoS Attack Recognition and Deterrence on M-Health Sensitive Data.
Wirel. Pers. Commun., February, 2023

Taking the Person Seriously: Ethically Aware IS Research in the Era of Reinforcement Learning-Based Personalization.
J. Assoc. Inf. Syst., 2023

Predictive Validation of Interaction Terms in PLS-SEM.
Proceedings of the 44th International Conference on Information Systems, 2023

Structural Equation Modeling in HCI Research using SEMinR.
Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

What's the Harm in Waiting? Examining disfluency from system response time in decision tasks with conversational agents.
Proceedings of the 29th Americas Conference on Information Systems, 2023

2022
Personality Antecedents and Consequences of Internet Addiction Vis-à-vis Internet Habit: a Theory and an Empirical Investigation.
Inf. Syst. Frontiers, 2022

Hybrid Semantics for Goal-Directed Natural Language Generation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Inferring Multiple Tissue Properties from Magnetic Resonance Fingerprinting Images.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Smartphone Addiction and Conflict: An Incentive-Sensitisation Perspective of Addiction for Information Systems.
Eur. J. Inf. Syst., 2021

Prediction-Oriented Model Selection in Partial Least Squares Path Modeling.
Decis. Sci., 2021

SocialNLP EmotionGIF 2020 Challenge Overview: Predicting Reaction GIF Categories on Social Media.
CoRR, 2021

Beyond Fair Pay: Ethical Implications of NLP Crowdsourcing.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Seeing Humans in the Data: Ethical Blind Spots of Taiwan Academic Researchers in the Era of Behavioral Big Data.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

Happy Dance, Slow Clap: Using Reaction GIFs to Predict Induced Affect on Twitter.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Rankboost+: an improvement to Rankboost.
Mach. Learn., 2020

Understanding fintech continuance: perspectives from self-efficacy and ECT-IS theories.
Ind. Manag. Data Syst., 2020

Guest editorial.
Ind. Manag. Data Syst., 2020

Reactive Supervision: A New Method for Collecting Sarcasm Data.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Habit and addiction in the use of social networking sites: Their nature, antecedents, and consequences.
Comput. Hum. Behav., 2019

Adjusting to the GDPR: The Impact on Data Scientists and Behavioral Researchers.
Big Data, 2019

2018
Cyberloafing in the workplace: mitigation tactics and their impact on individuals' behavior.
Inf. Technol. Manag., 2018

A Multi-Representation Ensemble Approach to Classifying Vocal Diseases.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Gesture Annotation With a Visual Search Engine for Multimodal Communication Research.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Model-Based Reinforcement Learning.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Multiple-Instance Learning.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Multi-Instance Learning.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Offline reinforcement learning with task hierarchies.
Mach. Learn., 2017

What Leads to Prosocial Behaviors on Social Networking Services: A Tripartite Model.
J. Manag. Inf. Syst., 2017

Automated Volumetric Intravascular Plaque Classification Using Optical Coherence Tomography.
AI Mag., 2017

An Analysis of Boosted Linear Classifiers on Noisy Data with Applications to Multiple-Instance Learning.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016
Multiple-Instance Learning from Distributions.
J. Mach. Learn. Res., 2016

Classification of calcium in intravascular OCT images for the purpose of intervention planning.
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016

A Unifying Framework for Learning Bag Labels from Generalized Multiple-Instance Data.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

On the Consistency of Feature Selection With Lasso for Non-linear Targets.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Scaling a Natural Language Generation System.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Automated Volumetric Intravascular Plaque Classification Using Optical Coherence Tomography (OCT).
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Fault Localization in Embedded Control System Software.
Proceedings of the 1st IEEE/ACM International Workshop on Software Engineering for Smart Cyber-Physical Systems, 2015

2014
A theoretical and empirical analysis of support vector machine methods for multiple-instance classification.
Mach. Learn., 2014

The Central Role of Engagement in Online Communities.
Inf. Syst. Res., 2014

Examining cloud computing adoption intention, pricing mechanism, and deployment model.
Int. J. Inf. Manag., 2014

A large-scale empirical analysis of email spam detection through network characteristics in a stand-alone enterprise.
Comput. Networks, 2014

A Decision-Theoretic Approach to Natural Language Generation.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Learning Instance Concepts from Multiple-Instance Data with Bags as Distributions.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
The interplay of conscious and automatic mechanisms in the context of routine use: An integrative and comparative study of contrasting mechanisms.
Inf. Manag., 2013

Automatic stent strut detection in intravascular OCT images using image processing and classification technique.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

Detection and Prediction of Adverse and Anomalous Events in Medical Robots.
Proceedings of the Twenty-Fifth Innovative Applications of Artificial Intelligence Conference, 2013

SEPIA: A Scalable Game Environment for Artificial Intelligence Teaching and Research.
Proceedings of the Fourth Symposium on Education Advances in Artificial Intelligence, 2013

SMILe: Shuffled Multiple-Instance Learning.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Research Note - Online Users' Switching Costs: Their Nature and Formation.
Inf. Syst. Res., 2012

Accurate estimation of short read mapping quality for next-generation genome sequencing.
Bioinform., 2012

Bayesian Hierarchical Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

CARIAL: Cost-Aware Software Reliability Improvement with Active Learning.
Proceedings of the Fifth IEEE International Conference on Software Testing, 2012

2011
Security Assurance: How Online Service Providers Can Influence Security Control Perceptions and Gain Trust.
Decis. Sci., 2011

Automatic Discovery and Transfer of Task Hierarchies in Reinforcement Learning.
AI Mag., 2011

Can Network Characteristics Detect Spam Effectively in a Stand-Alone Enterprise?
Proceedings of the Passive and Active Measurement - 12th International Conference, 2011

2010
Model-Based Reinforcement Learning.
Proceedings of the Encyclopedia of Machine Learning, 2010

Multi-Instance Learning.
Proceedings of the Encyclopedia of Machine Learning, 2010

Improving the Precision of Dependence-Based Defect Mining by Supervised Learning of Rule and Violation Graphs.
Proceedings of the IEEE 21st International Symposium on Software Reliability Engineering, 2010

2009
Exploiting Product Distributions to Identify Relevant Variables of Correlation Immune Functions.
J. Mach. Learn. Res., 2009

2008
Automatic discovery and transfer of MAXQ hierarchies.
Proceedings of the Machine Learning, 2008

2007
Learning Bayesian Network Structure from Correlation-Immune Data.
Proceedings of the UAI 2007, 2007

Multiple-Instance Active Learning.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Multi-task reinforcement learning: a hierarchical Bayesian approach.
Proceedings of the Machine Learning, 2007

An integrated approach to feature invention and model construction for drug activity prediction.
Proceedings of the Machine Learning, 2007

Online Planning for Resource Production in Real-Time Strategy Games.
Proceedings of the Seventeenth International Conference on Automated Planning and Scheduling, 2007

2005
Learning Statistical Models for Annotating Proteins with Function Information using Biomedical Text.
BMC Bioinform., 2005

Why skewing works: learning difficult Boolean functions with greedy tree learners.
Proceedings of the Machine Learning, 2005

Generalized skewing for functions with continuous and nominal attributes.
Proceedings of the Machine Learning, 2005

Supervised versus multiple instance learning: an empirical comparison.
Proceedings of the Machine Learning, 2005

2004
Sequential skewing: an improved skewing algorithm.
Proceedings of the Machine Learning, 2004

2003
Hierarchical Hidden Markov Models for Information Extraction.
Proceedings of the IJCAI-03, 2003

Skewing: An Efficient Alternative to Lookahead for Decision Tree Induction.
Proceedings of the IJCAI-03, 2003

2001
Representing Sentence Structure in Hidden Markov Models for Information Extraction.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

Multiple Instance Regression.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001


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