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Ivan Garibay
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- affiliation: University of Central Florida, USA
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2020 – today
- 2024
- [c31]Xiaoxia Champon, Chathura Jayalath, William Rand, Jasser Jasser, Ivan Garibay:
Comparing Social Media Communities using Functional Data Analysis. HICSS 2024: 4162-4171 - [i31]Ali Khodabandeh Yalabadi, Mehdi Yazdani-Jahromi, Sina Abdidizaji, Ivan Garibay, Özlem Özmen Garibay:
Controlling the Misinformation Diffusion in Social Media by the Effect of Different Classes of Agents. CoRR abs/2401.11524 (2024) - [i30]Sina Abdidizaji, Ali Khodabandeh Yalabadi, Mehdi Yazdani-Jahromi, Özlem Özmen Garibay, Ivan Garibay:
Agent-Based Modeling of C. Difficile Spread in Hospitals: Assessing Contribution of High-Touch vs. Low-Touch Surfaces and Inoculations' Containment Impact. CoRR abs/2401.11656 (2024) - [i29]Sina Abdidizaji, Alexander Baekey, Chathura Jayalath, Alexander V. Mantzaris, Özlem Özmen Garibay, Ivan Garibay:
Analyzing X's Web of Influence: Dissecting News Sharing Dynamics through Credibility and Popularity with Transfer Entropy and Multiplex Network Measures. CoRR abs/2407.09657 (2024) - [i28]Mehdi Yazdani-Jahromi, Ali Khodabandeh Yalabadi, Amirarsalan Rajabi, Aida Tayebi, Ivan Garibay, Özlem Özmen Garibay:
Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium. CoRR abs/2410.16432 (2024) - 2023
- [j20]Chathura Jayalath
, Chathika Gunaratna
, William Rand
, Chathurani Senevirathna
, Ivan Garibay
:
A Generalization of Threshold-based and Probability-based Models of Information diffusion. Adv. Complex Syst. 26(2): 2350005:1-2350005:25 (2023) - [j19]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
, Hernisa Kacorri, Waldemar Karwowski
, Joseph T. Kider Jr.
, Joseph A. Konstan
, Sean Koon
, Mónica López-González, Iliana Maifeld-Carucci, Sean McGregor, Gavriel Salvendy, Ben Shneiderman
, Constantine Stephanidis
, Christina Strobel, Carolyn Ten Holter, Wei Xu:
Six Human-Centered Artificial Intelligence Grand Challenges. Int. J. Hum. Comput. Interact. 39(3): 391-437 (2023) - [j18]Joshua M. Epstein, Ivan Garibay
, Erez Hatna, Matthew Koehler, William Rand
:
Special Section on "Inverse Generative Social Science": Guest Editors' Statement. J. Artif. Soc. Soc. Simul. 26(2) (2023) - [j17]Chathika Gunaratne, Erez Hatna, Joshua M. Epstein, Ivan Garibay
:
Generating Mixed Patterns of Residential Segregation: An Evolutionary Approach. J. Artif. Soc. Soc. Simul. 26(2) (2023) - [j16]Bruce Miller, Ivan Garibay, Jacopo A. Baggio, Edwin Nassiff:
Network Structure Can Amplify Innovation Adoption and Polarization in Group-Structured Populations with Outgroup Aversion. J. Artif. Soc. Soc. Simul. 26(4) (2023) - 2022
- [j15]Jasser Jasser, Ivan Garibay
, Steven R. Scheinert, Alexander V. Mantzaris:
Controversial information spreads faster and further than non-controversial information in Reddit. J. Comput. Soc. Sci. 5(1): 111-122 (2022) - [c30]Özlem Özmen Garibay, Niloofar Yousefi, Kevin Aslett, Jacopo A. Baggio
, Erik Hemberg, Chathura Jayalath, Alexander V. Mantzaris, Bruce Miller, Una-May O'Reilly, William Rand
, Chathurani Senevirathna, Ivan Garibay
:
Entropy-Based Characterization of Influence Pathways in Traditional and Social Media. CIC 2022: 38-44 - [c29]Hanin Alhaddad, Seyyedmilad Talebzadehhosseini, Ivan Garibay
:
Green Sector Space: The Evolution and Capabilities Spillover of Economic Green Sectors in the United States. COMPLEX NETWORKS (1) 2022: 502-513 - [c28]Jasser Jasser, Dan Eilen, Ivan Garibay:
Flooding the Zone: a censorship and disinformation strategy that needs attention. ICWSM Workshops 2022 - [c27]Ramya Akula, Ivan Garibay:
Sentence Pair Embeddings Based Evaluation Metric for Abstractive and Extractive Summarization. LREC 2022: 6009-6017 - [i27]Toktam A. Oghaz, Ivan Garibay:
Dominant Set-based Active Learning for Text Classification and its Application to Online Social Media. CoRR abs/2202.00540 (2022) - 2021
- [j14]Chathurani Senevirathna
, Chathika Gunaratne
, William Rand
, Chathura Jayalath
, Ivan Garibay
:
Influence Cascades: Entropy-Based Characterization of Behavioral Influence Patterns in Social Media. Entropy 23(2): 160 (2021) - [j13]Ramya Akula
, Ivan Garibay
:
Interpretable Multi-Head Self-Attention Architecture for Sarcasm Detection in Social Media. Entropy 23(4): 394 (2021) - [j12]Amirarsalan Rajabi, Alexander V. Mantzaris, Kuldip Singh Atwal, Ivan Garibay
:
Exploring the disparity of influence between users in the discussion of Brexit on Twitter: Twitter influence disparity in Brexit If so, write it here. J. Comput. Soc. Sci. 4(2): 903-917 (2021) - [j11]Chathika Gunaratne
, Ivan Garibay
:
NL4Py: Agent-based modeling in Python with parallelizable NetLogo workspaces. SoftwareX 16: 100801 (2021) - [c26]Kuldip Singh Atwal, John T. Murphy, Ivan Garibay
:
Empirical Analysis of Aging Effects on Preferential Attachment with a Massive Twitter Dataset. GLOBECOM 2021: 1-6 - [c25]Ramya Akula
, Ivan Garibay
:
Ethical AI for Social Good. HCI (41) 2021: 369-380 - [c24]Ramya Akula, Ivan Garibay:
Explainable Detection of Sarcasm in Social Media. WASSA@EACL 2021: 34-39 - [i26]Ramya Akula, Ivan Garibay:
Interpretable Multi-Head Self-Attention model for Sarcasm Detection in social media. CoRR abs/2101.05875 (2021) - [i25]Ramya Akula, Ivan Garibay:
Ethical AI for Social Good. CoRR abs/2107.14044 (2021) - [i24]Ramya Akula, Ivan Garibay:
Audit and Assurance of AI Algorithms: A framework to ensure ethical algorithmic practices in Artificial Intelligence. CoRR abs/2107.14046 (2021) - [i23]Jasser Jasser, Ivan Garibay:
Resilience from Diversity: Population-based approach to harden models against adversarial attacks. CoRR abs/2111.10272 (2021) - 2020
- [j10]Chathika Gunaratne
, Nisha Baral, William Rand
, Ivan Garibay
, Chathura Jayalath, Chathurani Senevirathna:
The effects of information overload on online conversation dynamics. Comput. Math. Organ. Theory 26(2): 255-276 (2020) - [j9]Ece C. Mutlu
, Toktam A. Oghaz
, Amirarsalan Rajabi
, Ivan Garibay
:
Review on Learning and Extracting Graph Features for Link Prediction. Mach. Learn. Knowl. Extr. 2(4): 672-704 (2020) - [j8]Neda Hajiakhoond Bidoki, Madeline Schiappa
, Gita Sukthankar
, Ivan Garibay
:
Modeling social coding dynamics with sampled historical data. Online Soc. Networks Media 16: 100070 (2020) - [c23]Ece Çigdem Mutlu, Toktam A. Oghaz, Ege Tütüncüler, Ivan Garibay
:
Do Bots Have Moral Judgement? The Difference Between Bots and Humans in Moral Rhetoric. ASONAM 2020: 222-226 - [c22]Amirarsalan Rajabi, Chathika Gunaratne, Alexander V. Mantzaris, Ivan Garibay:
Modeling Disinformation and the Effort to Counter It: A Cautionary Tale of When the Treatment Can Be Worse Than the Disease. AAMAS 2020: 1975-1977 - [c21]Rachel Winter, Steven R. Scheinert, Mel Stanfill
, Anastasia Salter, Olivia B. Newton, Jihye Song, Stephen M. Fiore, William Rand, Ivan Garibay
:
A Taxonomy of User Actions on Social Networking Sites. HT 2020: 233-234 - [c20]Toktam A. Oghaz
, Ece Çigdem Mutlu, Jasser Jasser, Niloofar Yousefi, Ivan Garibay
:
Probabilistic Model of Narratives Over Topical Trends in Social Media: A Discrete Time Model. HT 2020: 281-290 - [c19]Amirarsalan Rajabi
, Chathika Gunaratne
, Alexander V. Mantzaris
, Ivan Garibay
:
On Countering Disinformation with Caution: Effective Inoculation Strategies and Others that Backfire into Community Hyper-Polarization. SBP-BRiMS 2020: 130-139 - [i22]Marie Alaghband
, Niloofar Yousefi, Ivan Garibay:
FePh: An Annotated Facial Expression Dataset for the RWTH-PHOENIX-Weather 2014 Dataset. CoRR abs/2003.08759 (2020) - [i21]Ivan Garibay, Toktam A. Oghaz
, Niloofar Yousefi, Ece C. Mutlu, Madeline Schiappa, Steven R. Scheinert, Georgios C. Anagnostopoulos, Christina Bouwens, Stephen M. Fiore, Alexander V. Mantzaris, John T. Murphy, William Rand, Anastasia Salter, Mel Stanfill, Gita Sukthankar, Nisha Baral, Gabriel Fair, Chathika Gunaratne, Neda Hajiakhoond Bidoki, Jasser Jasser, Chathura Jayalath, Olivia B. Newton, Samaneh Saadat, Chathurani Senevirathna, Rachel Winter, Xi Zhang:
Deep Agent: Studying the Dynamics of Information Spread and Evolution in Social Networks. CoRR abs/2003.11611 (2020) - [i20]Ece C. Mutlu, Ivan Garibay:
The Degree-Dependent Threshold Model: Towards a Better Understanding of Opinion Dynamics on Online Social Networks. CoRR abs/2003.11671 (2020) - [i19]Amirarsalan Rajabi, Seyyedmilad Talebzadehhosseini, Ivan Garibay:
Resistance of communities against disinformation. CoRR abs/2004.00379 (2020) - [i18]Toktam A. Oghaz, Ece C. Mutlu, Jasser Jasser, Niloofar Yousefi, Ivan Garibay:
Probabilistic Model of Narratives Over Topical Trends in Social Media: A Discrete Time Model. CoRR abs/2004.06793 (2020) - [i17]Ece Çigdem Mutlu, Ivan Garibay:
Effects of Assortativity on Consensus Formation with Heterogeneous Agents. CoRR abs/2004.13131 (2020) - [i16]Ece Çigdem Mutlu, Toktam A. Oghaz, Ege Tütüncüler, Jasser Jasser, Ivan Garibay:
Quantifying Latent Moral Foundations in Twitter Narratives: The Case of the Syrian White Helmets Misinformation. CoRR abs/2004.13142 (2020) - [i15]Marie Alaghband
, Ivan Garibay:
Effects of Non-Cognitive Factors on Post-Secondary Persistence of Deaf Students: An Agent-Based Modeling Approach. CoRR abs/2006.12624 (2020) - [i14]Jasser Jasser, Ivan Garibay, Steven R. Scheinert, Alexander V. Mantzaris:
Controversial information spreads faster and further in Reddit. CoRR abs/2006.13991 (2020) - [i13]Ece Çigdem Mutlu, Amirarsalan Rajabi, Ivan Garibay:
CD-SEIZ: Cognition-Driven SEIZ Compartmental Model for the Prediction of Information Cascades on Twitter. CoRR abs/2008.12723 (2020) - [i12]Ece Çigdem Mutlu, Toktam A. Oghaz
, Jasser Jasser, Ege Tütüncüler, Amirarsalan Rajabi
, Aida Tayebi, Özlem Özmen Garibay, Ivan Garibay:
A Stance Data Set on Polarized Conversations on Twitter about the Efficacy of Hydroxychloroquine as a Treatment for COVID-19. CoRR abs/2009.01188 (2020)
2010 – 2019
- 2019
- [j7]Ramya Akula
, Ivan Garibay
:
VizTract: Visualization of Complex Social Networks for Easy User Perception. Big Data Cogn. Comput. 3(1): 17 (2019) - [c18]Seyyedmilad Talebzadehhosseini
, Steven R. Scheinert, Ivan Garibay
:
Global Transitioning Towards a Green Economy: Analyzing the Evolution of the Green Product Space of the Two Largest World Economies. COMPLEX NETWORKS (2) 2019: 633-644 - [c17]Prateek Basavaraj, Ivan Garibay
:
Enhancing the Program Quality and College-Level Success Metrics of an IT Program at a Large Public University. SIGITE 2019: 16-21 - [c16]Prateek Basavaraj, Ivan Garibay:
Dropout vs. Time to Degree: The Existing Tension between Retaining and Graduating 'At-Risk' Students in a Timely Manner. SIGITE 2019: 154 - [c15]Madeline Schiappa, Graham Chantry, Ivan Garibay
:
Cyber Security in a Complex Community: A Social Media Analysis on Common Vulnerabilities and Exposures. SNAMS 2019: 13-20 - [i11]Neda Hajiakhoond Bidoki, Gita Sukthankar, Heather Keathley, Ivan Garibay:
A Cross-Repository Model for Predicting Popularity in GitHub. CoRR abs/1902.05216 (2019) - [i10]Ramya Akula, Niloofar Yousefi, Ivan Garibay:
DeepFork: Supervised Prediction of Information Diffusion in GitHub. CoRR abs/1910.07999 (2019) - [i9]Ramya Akula, Ni Nguyen, Ivan Garibay:
Supervised Machine Learning based Ensemble Model for Accurate Prediction of Type 2 Diabetes. CoRR abs/1910.09356 (2019) - [i8]Chathika Gunaratne, Nisha Baral, William Rand, Ivan Garibay, Chathura Jayalath, Chathurani Senevirathna:
A Theory of Extended Working Memory and its Role in Online Conversation Dynamics. CoRR abs/1910.09686 (2019) - [i7]Ramya Akula, Zachary Wieselthier, Laura Martin, Ivan Garibay:
Forecasting the Success of Television Series using Machine Learning. CoRR abs/1910.12589 (2019) - [i6]Niloofar Yousefi, Marie Alaghband
, Ivan Garibay:
A Comprehensive Survey on Machine Learning Techniques and User Authentication Approaches for Credit Card Fraud Detection. CoRR abs/1912.02629 (2019) - 2018
- [j6]Cameron E. Taylor, Alexander V. Mantzaris
, Ivan Garibay
:
Exploring How Homophily and Accessibility Can Facilitate Polarization in Social Networks. Inf. 9(12): 325 (2018) - [c14]Killian Muollo, Prateek Basavaraj, Ivan Garibay
:
Understanding Students' Online Reviews to Improve College Experience and Graduation Rates of STEM Programs at the Largest Post-Secondary Institution: A Learner-Centered Study. FIE 2018: 1-7 - [c13]Prateek Basavaraj, Ivan Garibay
:
A Personalized "Course Navigator" Based on Students' Goal Orientation. GROUP 2018: 98-101 - [c12]Samaneh Saadat, Chathika Gunaratne
, Nisha Baral, Gita Sukthankar, Ivan Garibay
:
Initializing Agent-Based Models with Clustering Archetypes. SBP-BRiMS 2018: 233-239 - [c11]Prateek Basavaraj, Karla A. Badillo-Urquiola, Ivan Garibay
, Pamela J. Wisniewski:
A Tale of Two Majors: When Information Technology is Embedded within a Department of Computer Science. SIGITE 2018: 32-37 - [i5]Chathika Gunaratne, Ivan Garibay:
Evolutionary Model Discovery of Factors for Farm Selection by the Artificial Anasazi. CoRR abs/1802.00435 (2018) - [i4]Cameron E. Taylor, Ivan Garibay, Alexander V. Mantzaris:
How polarization can provide an increase in content dissemination amongst the highly ranked influencers. CoRR abs/1805.10732 (2018) - [i3]Chathika Gunaratne, Ivan Garibay:
NL4Py: Agent-Based Modeling in Python with Parallelizable NetLogo Workspaces. CoRR abs/1808.03292 (2018) - 2017
- [c10]Chathika Gunaratne
, Ivan Garibay
:
Alternate social theory discovery using genetic programming: towards better understanding the artificial anasazi. GECCO 2017: 115-122 - 2016
- [i2]Chathika Gunaratne, Mustafa Ilhan Akbas, Ivan I. Garibay, Özlem Özmen Garibay:
Evaluation of Zika Vector Control Strategies Using Agent-Based Modeling. CoRR abs/1604.06121 (2016) - 2015
- [c9]Mustafa Ilhan Akbas
, Chathika Gunaratne
, Özlem Özmen Garibay, Ivan I. Garibay
, Thomas O'Neal:
Role of entrepreneurial support for networking in innovation ecosystems: an agent based approach. WSC 2015: 3112-3113 - 2011
- [j5]Ivan I. Garibay
:
Erratum to: Dario Floreano and Claudio Mattiussi: Bio-inspired artificial intelligence: theories, methods, and technologies. Genet. Program. Evolvable Mach. 12(1): 89 (2011) - [i1]Christopher D. Hollander, Ivan Garibay:
Transformation Networks: How Innovation and the Availability of Technology can Increase Economic Performance. CoRR abs/1112.4708 (2011) - 2010
- [j4]Ivan I. Garibay:
Dario Floreano and Claudio Mattiussi (eds): Bio-inspired artificial intelligence: theories, methods, and technologies. Genet. Program. Evolvable Mach. 11(3-4): 441-443 (2010)
2000 – 2009
- 2009
- [c8]R. Paul Wiegand, Gautham Anil, Ivan I. Garibay
, Ozlem O. Garibay, Annie S. Wu:
On the performance effects of unbiased module encapsulation. GECCO 2009: 1729-1736 - [e1]Ivan I. Garibay, Thomas Jansen, R. Paul Wiegand, Annie S. Wu:
Foundations of Genetic Algorithms, 10th ACM SIGEVO International Workshop, FOGA 2009, Orlando, Forida, USA, January 9-11, 2009, Proceedings. ACM 2009, ISBN 978-1-60558-414-0 [contents] - 2006
- [j3]Ivan I. Garibay
, Annie S. Wu, Ozlem O. Garibay:
Emergence of genomic self-similarity in location independent representations. Genet. Program. Evolvable Mach. 7(1): 55-80 (2006) - [c7]M. Kivanc Oner, Ivan I. Garibay, Annie S. Wu:
Mating networks in steady state genetic algorithms are scale free. GECCO 2006: 1423-1424 - 2005
- [c6]Ivan I. Garibay
, Annie S. Wu, Ozlem O. Garibay:
On location independent representations and self-organization. GECCO Workshops 2005: 292 - [c5]Ivan I. Garibay
, Annie S. Wu, Ozlem O. Garibay:
On favoring positive correlations between form and quality of candidate solutions via the emergence of genomic self-similarity. GECCO 2005: 1177-1184 - 2004
- [j2]Annie S. Wu, Ivan I. Garibay
:
Intelligent automated control of life support systems using proportional representations. IEEE Trans. Syst. Man Cybern. Part B 34(3): 1423-1434 (2004) - [c4]Ivan I. Garibay, Ozlem O. Garibay, Annie S. Wu:
Effects of Module Encapsulation in Repetitively Modular Genotypes on the Search Space. GECCO (1) 2004: 1125-1137 - 2003
- [c3]Ozlem O. Garibay, Ivan I. Garibay, Annie S. Wu:
The Modular Genetic Algorithm: Exploiting Regularities in the Problem Space. ISCIS 2003: 584-591 - 2002
- [j1]Annie S. Wu, Ivan I. Garibay:
The Proportional Genetic Algorithm: Gene Expression in a Genetic Algorithm. Genet. Program. Evolvable Mach. 3(2): 157-192 (2002) - [c2]Annie S. Wu, Ivan I. Garibay:
The Proportional Genetic Algorithm Representation. GECCO 2002: 703 - 2000
- [c1]Ivan I. Garibay:
Generating Text with a Theorem Prover. ANLP 2000: 13-18
Coauthor Index
aka: Özlem Özmen Garibay

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