Generating Text with a Theorem Prover. - Ivan I. Garibay (ANLP, 2000)

The Proportional Genetic Algorithm Representation. - Annie S. Wu; Ivan I. Garibay (GECCO, 2002)

The Proportional Genetic Algorithm: Gene Expression in a Genetic Algorithm. - Annie S. Wu; Ivan I. Garibay (Genet. Program. Evolvable Mach., 2002)

The Modular Genetic Algorithm: Exploiting Regularities in the Problem Space. - Ozlem O. Garibay; Ivan I. Garibay; Annie S. Wu (ISCIS, 2003)

Effects of Module Encapsulation in Repetitively Modular Genotypes on the Search Space. - Ivan I. Garibay; Ozlem O. Garibay; Annie S. Wu (GECCO (1), 2004)

Intelligent automated control of life support systems using proportional representations. - Annie S. Wu; Ivan I. Garibay (IEEE Trans. Syst. Man Cybern. Part B, 2004)

On favoring positive correlations between form and quality of candidate solutions via the emergence of genomic self-similarity. - Ivan I. Garibay; Annie S. Wu; Ozlem O. Garibay (GECCO, 2005)

On location independent representations and self-organization. - Ivan I. Garibay; Annie S. Wu; Ozlem O. Garibay (GECCO Workshops, 2005)

Mating networks in steady state genetic algorithms are scale free. - M. Kivanc Oner; Ivan I. Garibay; Annie S. Wu (GECCO, 2006)

Emergence of genomic self-similarity in location independent representations. - Ivan I. Garibay; Annie S. Wu; Ozlem O. Garibay (Genet. Program. Evolvable Mach., 2006)

On the performance effects of unbiased module encapsulation. - R. Paul Wiegand; Gautham Anil; Ivan I. Garibay; Ozlem O. Garibay; Annie S. Wu (GECCO, 2009)

Dario Floreano and Claudio Mattiussi (eds): Bio-inspired artificial intelligence: theories, methods, and technologies. - Ivan I. Garibay (Genet. Program. Evolvable Mach., 2010)

Transformation Networks: How Innovation and the Availability of Technology can Increase Economic Performance - Christopher D. Hollander; Ivan Garibay (CoRR, 2011)

Erratum to: Dario Floreano and Claudio Mattiussi: Bio-inspired artificial intelligence: theories, methods, and technologies. - Ivan I. Garibay (Genet. Program. Evolvable Mach., 2011)

Role of entrepreneurial support for networking in innovation ecosystems: an agent based approach. - Mustafa Ilhan Akbas; Chathika Gunaratne; Özlem Özmen Garibay; Ivan I. Garibay; Thomas O'Neal (WSC, 2015)

Evaluation of Zika Vector Control Strategies Using Agent-Based Modeling. - Chathika Gunaratne; Mustafa Ilhan Akbas; Ivan I. Garibay; Özlem Özmen Garibay (CoRR, 2016)

Alternate social theory discovery using genetic programming: towards better understanding the artificial anasazi. - Chathika Gunaratne; Ivan Garibay (GECCO, 2017)

Understanding Students' Online Reviews to Improve College Experience and Graduation Rates of STEM Programs at the Largest Post-Secondary Institution: A Learner-Centered Study. - Killian Muollo; Prateek Basavaraj; Ivan Garibay (FIE, 2018)

A Personalized "Course Navigator" Based on Students' Goal Orientation. - Prateek Basavaraj; Ivan Garibay (GROUP, 2018)

Initializing Agent-Based Models with Clustering Archetypes. - Samaneh Saadat; Chathika Gunaratne; Nisha Baral; Gita Sukthankar; Ivan Garibay (SBP-BRiMS, 2018)

A Tale of Two Majors: When Information Technology is Embedded within a Department of Computer Science. - Prateek Basavaraj; Karla A. Badillo-Urquiola; Ivan Garibay; Pamela J. Wisniewski (SIGITE, 2018)

Evolutionary Model Discovery of Factors for Farm Selection by the Artificial Anasazi. - Chathika Gunaratne; Ivan Garibay (CoRR, 2018)

How polarization can provide an increase in content dissemination amongst the highly ranked influencers. - Cameron E. Taylor; Ivan Garibay; Alexander V. Mantzaris (CoRR, 2018)

Exploring How Homophily and Accessibility Can Facilitate Polarization in Social Networks. - Cameron E. Taylor; Alexander V. Mantzaris; Ivan Garibay (Inf., 2018)

Global Transitioning Towards a Green Economy: Analyzing the Evolution of the Green Product Space of the Two Largest World Economies. - Seyyedmilad Talebzadehhosseini; Steven R. Scheinert; Ivan Garibay (COMPLEX NETWORKS (2), 2019)

Enhancing the Program Quality and College-Level Success Metrics of an IT Program at a Large Public University. - Prateek Basavaraj; Ivan Garibay (SIGITE, 2019)

Dropout vs. Time to Degree: The Existing Tension between Retaining and Graduating 'At-Risk' Students in a Timely Manner. - Prateek Basavaraj; Ivan Garibay (SIGITE, 2019)

Cyber Security in a Complex Community: A Social Media Analysis on Common Vulnerabilities and Exposures. - Madeline Schiappa; Graham Chantry; Ivan Garibay (SNAMS, 2019)

VizTract: Visualization of Complex Social Networks for Easy User Perception. - Ramya Akula; Ivan Garibay (Big Data Cogn. Comput., 2019)

A Cross-Repository Model for Predicting Popularity in GitHub. - Neda Hajiakhoond Bidoki; Gita Sukthankar; Heather Keathley; Ivan Garibay (CoRR, 2019)

DeepFork: Supervised Prediction of Information Diffusion in GitHub. - Ramya Akula; Niloofar Yousefi 001; Ivan Garibay (CoRR, 2019)

Supervised Machine Learning based Ensemble Model for Accurate Prediction of Type 2 Diabetes. - Ramya Akula; Ni Nguyen; Ivan Garibay (CoRR, 2019)

A Theory of Extended Working Memory and its Role in Online Conversation Dynamics. - Chathika Gunaratne; Nisha Baral; William Rand; Ivan Garibay; Chathura Jayalath; Chathurani Senevirathna (CoRR, 2019)

Forecasting the Success of Television Series using Machine Learning. - Ramya Akula; Zachary Wieselthier; Laura Martin; Ivan Garibay (CoRR, 2019)

A Comprehensive Survey on Machine Learning Techniques and User Authentication Approaches for Credit Card Fraud Detection. - Niloofar Yousefi 001; Marie Alaghband; Ivan Garibay (CoRR, 2019)

Do Bots Have Moral Judgement? The Difference Between Bots and Humans in Moral Rhetoric. - Ece Çigdem Mutlu; Toktam A. Oghaz; Ege Tütüncüler; Ivan Garibay (ASONAM, 2020)

Modeling Disinformation and the Effort to Counter It: A Cautionary Tale of When the Treatment Can Be Worse Than the Disease. - Amirarsalan Rajabi; Chathika Gunaratne; Alexander V. Mantzaris; Ivan Garibay (AAMAS, 2020)

Probabilistic Model of Narratives Over Topical Trends in Social Media: A Discrete Time Model. - Toktam A. Oghaz; Ece Çigdem Mutlu; Jasser Jasser; Niloofar Yousefi 001; Ivan Garibay (HT, 2020)

A Taxonomy of User Actions on Social Networking Sites. - Rachel Winter; Steven R. Scheinert; Mel Stanfill; Anastasia Salter; Olivia B. Newton; Jihye Song; Stephen M. Fiore; William Rand; Ivan Garibay (HT, 2020)

On Countering Disinformation with Caution: Effective Inoculation Strategies and Others that Backfire into Community Hyper-Polarization. - Amirarsalan Rajabi; Chathika Gunaratne; Alexander V. Mantzaris; Ivan Garibay (SBP-BRiMS, 2020)

The effects of information overload on online conversation dynamics. - Chathika Gunaratne; Nisha Baral; William Rand; Ivan Garibay; Chathura Jayalath; Chathurani Senevirathna (Comput. Math. Organ. Theory, 2020)

FePh: An Annotated Facial Expression Dataset for the RWTH-PHOENIX-Weather 2014 Dataset. - Marie Alaghband; Niloofar Yousefi 001; Ivan Garibay (CoRR, 2020)

Deep Agent: Studying the Dynamics of Information Spread and Evolution in Social Networks. - Ivan Garibay; Toktam A. Oghaz; Niloofar Yousefi 001; Ece C. Mutlu; Madeline Schiappa; Steven R. Scheinert; Georgios C. Anagnostopoulos; Christina Bouwens; Stephen M. Fiore; Alexander V. Mantzaris; John T. Murphy; William Rand; et al. (CoRR, 2020)

The Degree-Dependent Threshold Model: Towards a Better Understanding of Opinion Dynamics on Online Social Networks. - Ece C. Mutlu; Ivan Garibay (CoRR, 2020)

Resistance of communities against disinformation. - Amirarsalan Rajabi; Seyyedmilad Talebzadehhosseini; Ivan Garibay (CoRR, 2020)

Effects of Assortativity on Consensus Formation with Heterogeneous Agents. - Ece Çigdem Mutlu; Ivan Garibay (CoRR, 2020)

Quantifying Latent Moral Foundations in Twitter Narratives: The Case of the Syrian White Helmets Misinformation. - Ece Çigdem Mutlu; Toktam A. Oghaz; Ege Tütüncüler; Jasser Jasser; Ivan Garibay (CoRR, 2020)

Effects of Non-Cognitive Factors on Post-Secondary Persistence of Deaf Students: An Agent-Based Modeling Approach. - Marie Alaghband; Ivan Garibay (CoRR, 2020)

Controversial information spreads faster and further in Reddit. - Jasser Jasser; Ivan Garibay; Steven R. Scheinert; Alexander V. Mantzaris (CoRR, 2020)

CD-SEIZ: Cognition-Driven SEIZ Compartmental Model for the Prediction of Information Cascades on Twitter. - Ece Çigdem Mutlu; Amirarsalan Rajabi; Ivan Garibay (CoRR, 2020)

A Stance Data Set on Polarized Conversations on Twitter about the Efficacy of Hydroxychloroquine as a Treatment for COVID-19. - Ece Çigdem Mutlu; Toktam A. Oghaz; Jasser Jasser; Ege Tütüncüler; Amirarsalan Rajabi; Aida Tayebi; Özlem Özmen Garibay; Ivan Garibay (CoRR, 2020)

Review on Learning and Extracting Graph Features for Link Prediction. - Ece C. Mutlu; Toktam A. Oghaz; Amirarsalan Rajabi; Ivan Garibay (Mach. Learn. Knowl. Extr., 2020)

Modeling social coding dynamics with sampled historical data. - Neda Hajiakhoond Bidoki; Madeline Schiappa; Gita Sukthankar; Ivan Garibay (Online Soc. Networks Media, 2020)

Empirical Analysis of Aging Effects on Preferential Attachment with a Massive Twitter Dataset. - Kuldip Singh Atwal; John T. Murphy; Ivan Garibay (GLOBECOM, 2021)

Ethical AI for Social Good. - Ramya Akula; Ivan Garibay (HCI (41), 2021)

Explainable Detection of Sarcasm in Social Media. - Ramya Akula; Ivan Garibay (WASSA@EACL, 2021)

Interpretable Multi-Head Self-Attention model for Sarcasm Detection in social media. - Ramya Akula; Ivan Garibay (CoRR, 2021)

Audit and Assurance of AI Algorithms: A framework to ensure ethical algorithmic practices in Artificial Intelligence. - Ramya Akula; Ivan Garibay (CoRR, 2021)

Resilience from Diversity: Population-based approach to harden models against adversarial attacks. - Jasser Jasser; Ivan Garibay (CoRR, 2021)

Interpretable Multi-Head Self-Attention Architecture for Sarcasm Detection in Social Media. - Ramya Akula; Ivan Garibay (Entropy, 2021)

Influence Cascades: Entropy-Based Characterization of Behavioral Influence Patterns in Social Media. - Chathurani Senevirathna; Chathika Gunaratne; William Rand; Chathura Jayalath; Ivan Garibay (Entropy, 2021)

Exploring the disparity of influence between users in the discussion of Brexit on Twitter: Twitter influence disparity in Brexit If so, write it here. - Amirarsalan Rajabi; Alexander V. Mantzaris; Kuldip Singh Atwal; Ivan Garibay (J. Comput. Soc. Sci., 2021)

NL4Py: Agent-based modeling in Python with parallelizable NetLogo workspaces. - Chathika Gunaratne; Ivan Garibay (SoftwareX, 2021)

Entropy-Based Characterization of Influence Pathways in Traditional and Social Media. - Özlem Özmen Garibay; Niloofar Yousefi 001; Kevin Aslett; Jacopo A. Baggio; Erik Hemberg; Chathura Jayalath; Alexander V. Mantzaris; Bruce Miller; Una-May O'Reilly; William Rand; Chathurani Senevirathna; Ivan Garibay (CIC, 2022)

Green Sector Space: The Evolution and Capabilities Spillover of Economic Green Sectors in the United States. - Hanin Alhaddad; Seyyedmilad Talebzadehhosseini; Ivan Garibay (COMPLEX NETWORKS (1), 2022)

Flooding the Zone: a censorship and disinformation strategy that needs attention. - Jasser Jasser; Dan Eilen; Ivan Garibay (ICWSM Workshops, 2022)

Sentence Pair Embeddings Based Evaluation Metric for Abstractive and Extractive Summarization. - Ramya Akula; Ivan Garibay (LREC, 2022)

Dominant Set-based Active Learning for Text Classification and its Application to Online Social Media. - Toktam A. Oghaz; Ivan Garibay (CoRR, 2022)

Controversial information spreads faster and further than non-controversial information in Reddit. - Jasser Jasser; Ivan Garibay; Steven R. Scheinert; Alexander V. Mantzaris (J. Comput. Soc. Sci., 2022)

Six Human-Centered Artificial Intelligence Grand Challenges. - Özlem Özmen Garibay; Brent Winslow; Salvatore Andolina; Margherita Antona; Anja Bodenschatz; Constantinos K. Coursaris; Gregory Falco; Stephen M. Fiore; Ivan Garibay; Keri Grieman; John C. Havens; Marina Jirotka; et al. (Int. J. Hum. Comput. Interact., 2023)

Special Section on "Inverse Generative Social Science": Guest Editors' Statement. - Joshua M. Epstein; Ivan Garibay; Erez Hatna; Matthew Koehler; William Rand (J. Artif. Soc. Soc. Simul., 2023)

Generating Mixed Patterns of Residential Segregation: An Evolutionary Approach. - Chathika Gunaratne; Erez Hatna; Joshua M. Epstein; Ivan Garibay (J. Artif. Soc. Soc. Simul., 2023)

Network Structure Can Amplify Innovation Adoption and Polarization in Group-Structured Populations with Outgroup Aversion. - Bruce Miller; Ivan Garibay; Jacopo A. Baggio; Edwin Nassiff (J. Artif. Soc. Soc. Simul., 2023)

A Generalization of Threshold-based and Probability-based Models of Information diffusion. - Chathura Jayalath; Chathika Gunaratna; William Rand; Chathurani Senevirathna; Ivan Garibay (Adv. Complex Syst., 2023)

Analyzing X's Web of Influence: Dissecting News Sharing Dynamics Through Credibility and Popularity with Transfer Entropy and Multiplex Network Measures. - Sina Abdidizaji; Alexander Baekey; Chathura Jayalath; Alexander V. Mantzaris; Özlem Özmen Garibay; Ivan Garibay (ASONAM (1), 2024)

Comparing Social Media Communities using Functional Data Analysis. - Xiaoxia Champon; Chathura Jayalath; William Rand; Jasser Jasser; Ivan Garibay (HICSS, 2024)

Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium. - Mehdi Yazdani-Jahromi; Ali Khodabandeh Yalabadi; Amirarsalan Rajabi; Aida Tayebi; Ivan Garibay; Ozlem O. Garibay (NeurIPS, 2024)

Controlling the Misinformation Diffusion in Social Media by the Effect of Different Classes of Agents. - Ali Khodabandeh Yalabadi; Mehdi Yazdani-Jahromi; Sina Abdidizaji; Ivan Garibay; Özlem Özmen Garibay (CoRR, 2024)

Agent-Based Modeling of C. Difficile Spread in Hospitals: Assessing Contribution of High-Touch vs. Low-Touch Surfaces and Inoculations' Containment Impact. - Sina Abdidizaji; Ali Khodabandeh Yalabadi; Mehdi Yazdani-Jahromi; Özlem Özmen Garibay; Ivan Garibay (CoRR, 2024)

Predicting Through Generation: Why Generation Is Better for Prediction. - Md. Kowsher; Nusrat Jahan Prottasha; Prakash Bhat; Chun-Nam Yu; Mojtaba Soltanalian; Ivan Garibay; Ozlem O. Garibay; Chen Chen; Niloofar Yousefi 001 (ACL (1), 2025)

User Profile with Large Language Models: Construction, Updating, and Benchmarking. - Nusrat Jahan Prottasha; Md. Kowsher; Hafijur Raman; Israt Jahan Anny; Prakash Bhat; Ivan Garibay; Ozlem O. Garibay (CoRR, 2025)

Explainable Detection of Implicit Influential Patterns in Conversations via Data Augmentation. - Sina Abdidizaji; Md. Kowsher; Niloofar Yousefi 001; Ivan Garibay (CoRR, 2025)