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)

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)

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

Analyzing the effects of module encapsulation on search space bias. - Ozlem O. Garibay; Annie S. Wu (GECCO, 2007)

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

A Topic-Driven Modular Approach to Engineering Education Delivery. - Ruba Akram Amarin; Ozlem O. Garibay; Issa Batarseh (Int. J. Emerg. Technol. Learn., 2013)

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)

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)

A Quantum Leap for Fairness: Quantum Bayesian Approach for Fair Decision Making. - Ece C. Mutlu; Özlem Özmen Garibay (HCI (41), 2021)

Towards Fairness in AI: Addressing Bias in Data Using GANs. - Amirarsalan Rajabi; Ozlem O. Garibay (HCI (41), 2021)

Multi-agent Naïve Utility Calculus: Intent Recognition in the Stag-Hunt Game. - Lux Miranda; Özlem Özmen Garibay (SBP-BRiMS, 2021)

Quantum Contagion: A Quantum-Like Approach for the Analysis of Social Contagion Dynamics with Heterogeneous Adoption Thresholds. - Ece C. Mutlu; Özlem Özmen Garibay (Entropy, 2021)

Contrastive Counterfactual Fairness in Algorithmic Decision-Making. - Ece Çigdem Mutlu; Niloofar Yousefi 001; Özlem Özmen Garibay (AIES, 2022)

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)

AttentionSiteDTI: an interpretable graph-based model for drug-target interaction prediction using NLP sentence-level relation classification. - Mehdi Yazdani-Jahromi; Niloofar Yousefi 001; Aida Tayebi; Elayaraja Kolanthai; Craig J. Neal; Sudipta Seal; Özlem Özmen Garibay (Briefings Bioinform., 2022)

Distraction is All You Need for Fairness. - Mehdi Yazdani-Jahromi; Amirarsalan Rajabi; Aida Tayebi; Özlem Özmen Garibay (CoRR, 2022)

TabFairGAN: Fair Tabular Data Generation with Generative Adversarial Networks. - Amirarsalan Rajabi; Özlem Özmen Garibay (Mach. Learn. Knowl. Extr., 2022)

Distance Correlation GAN: Fair Tabular Data Generation with Generative Adversarial Networks. - Amirarsalan Rajabi; Özlem Özmen Garibay (HCI (40), 2023)

Through a Fair Looking-Glass: Mitigating Bias in Image Datasets. - Amirarsalan Rajabi; Mehdi Yazdani-Jahromi; Özlem Özmen Garibay; Gita Sukthankar (HCI (40), 2023)

Improving Fairness via Deep Ensemble Framework Using Preprocessing Interventions. - Aida Tayebi; Özlem Özmen Garibay (HCI (40), 2023)

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)

Evolutionary Model Discovery of Human Behavioral Factors Driving Decision-Making in Irrigation Experiments. - Lux Miranda; Ozlem O. Garibay; Jacopo A. Baggio (J. Artif. Soc. Soc. Simul., 2023)

BindingSite-AugmentedDTA: enabling a next-generation pipeline for interpretable prediction models in drug repurposing. - Niloofar Yousefi 001; Mehdi Yazdani-Jahromi; Aida Tayebi; Elayaraja Kolanthai; Craig J. Neal; Tanumoy Banerjee; Agnivo Gosai; Ganesh Balasubramanian; Sudipta Seal; Özlem Özmen Garibay (Briefings Bioinform., 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)

Learning Fair Representations: Mitigating Statistical Dependencies. - Aida Tayebi; Mehdi Yazdani-Jahromi; Ali Khodabandeh Yalabadi; Niloofar Yousefi 001; Özlem Özmen Garibay (HCI (52), 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)

FragXsiteDTI: Revealing Responsible Segments in Drug-Target Interaction with Transformer-Driven Interpretation. - Ali Khodabandeh Yalabadi; Mehdi Yazdani-Jahromi; Niloofar Yousefi 001; Aida Tayebi; Sina Abdidizaji; Özlem Özmen Garibay (RECOMB, 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)

Parameter-Efficient Fine-Tuning of Large Language Models using Semantic Knowledge Tuning. - Nusrat Jahan Prottasha; Asif Mahmud; Md. Shohanur Islam Sobuj; Prakash Bhat; Md. Kowsher; Niloofar Yousefi 001; Özlem Özmen Garibay (CoRR, 2024)

LLM-Mixer: Multiscale Mixing in LLMs for Time Series Forecasting. - Md. Kowsher; Md. Shohanur Islam Sobuj; Nusrat Jahan Prottasha; E. Alejandro Alanis; Özlem Özmen Garibay; Niloofar Yousefi 001 (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)

Evaluating Fairness and Bias in Large Language Models for Tabular Data. - Aida Tayebi; Özlem Özmen Garibay (HCI (55), 2025)

BnTTS: Few-Shot Speaker Adaptation in Low-Resource Setting. - Mohammad Jahid Ibna Basher; Md. Kowsher; Md Saiful Islam; Rabindra Nath Nandi; Nusrat Jahan Prottasha; Mehadi Hasan Menon; Tareq Al Muntasir; Shammur Absar Chowdhury; Firoj Alam; Niloofar Yousefi 001; Ozlem O. Garibay (NAACL (Findings), 2025)

Does Self-Attention Need Separate Weights in Transformers? - Md. Kowsher; Nusrat Jahan Prottasha; Chun-Nam Yu; Ozlem O. Garibay; Niloofar Yousefi 001 (NAACL (Industry Track), 2025)

BoKDiff: Best-of-K Diffusion Alignment for Target-Specific 3D Molecule Generation. - Ali Khodabandeh Yalabadi; Mehdi Yazdani-Jahromi; Özlem Özmen Garibay (CoRR, 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)

PEFT A2Z: Parameter-Efficient Fine-Tuning Survey for Large Language and Vision Models. - Nusrat Jahan Prottasha; Upama Roy Chowdhury; Shetu Mohanto; Tasfia Nuzhat; Abdullah As Sami; Md Shamol Ali; Md. Shohanur Islam Sobuj; Hafijur Raman; Md. Kowsher; Ozlem O. Garibay (CoRR, 2025)

How Bidirectionality Helps Language Models Learn Better via Dynamic Bottleneck Estimation. - Md. Kowsher; Nusrat Jahan Prottasha; Shiyun Xu; Shetu Mohanto; Chen Chen; Ozlem O. Garibay; Niloofar Yousefi 001 (CoRR, 2025)