| Six human-centered artificial intelligence grand challenges O Ozmen Garibay, B Winslow, S Andolina, M Antona, A Bodenschatz, ... International Journal of Human–Computer Interaction 39 (3), 391-437, 2023 | 314 | 2023 |
| Do graduated university incubator firms benefit from their relationship with university incubators? V Lasrado, S Sivo, C Ford, T O’Neal, I Garibay The Journal of Technology Transfer 41, 205-219, 2016 | 195 | 2016 |
| Ns 1987A in SN 1987A D Page, MV Beznogov, I Garibay, JM Lattimer, M Prakash, HT Janka The Astrophysical Journal 898 (2), 125, 2020 | 82 | 2020 |
| The proportional genetic algorithm: Gene expression in a genetic algorithm AS Wu, I Garibay Genetic Programming and Evolvable Machines 3, 157-192, 2002 | 70 | 2002 |
| The interaction effects of technological innovation and path-dependent economic growth on countries overall green growth performance S Talebzadehhosseini, I Garibay Journal of Cleaner Production 333, 130134, 2022 | 61 | 2022 |
| A stance data set on polarized conversations on Twitter about the efficacy of hydroxychloroquine as a treatment for COVID-19 EC Mutlu, T Oghaz, J Jasser, E Tutunculer, A Rajabi, A Tayebi, O Ozmen, ... Data in brief 33, 106401, 2020 | 61 | 2020 |
| Polarization in social media assists influencers to become more influential: analysis and two inoculation strategies I Garibay, AV Mantzaris, A Rajabi, CE Taylor Scientific reports 9 (1), 18592, 2019 | 58 | 2019 |
| Review on graph feature learning and feature extraction techniques for link prediction EC Mutlu, TA Oghaz arXiv preprint arXiv:1901.03425, 38, 2019 | 56 | 2019 |
| Interpretable multi-head self-attention architecture for sarcasm detection in social media R Akula, I Garibay Entropy 23 (4), 394, 2021 | 52 | 2021 |
| Review on learning and extracting graph features for link prediction EC Mutlu, T Oghaz, A Rajabi, I Garibay Machine Learning and Knowledge Extraction 2 (4), 672-704, 2020 | 47 | 2020 |
| A comprehensive survey on machine learning techniques and user authentication approaches for credit card fraud detection N Yousefi, M Alaghband, I Garibay arXiv preprint arXiv:1912.02629, 2019 | 41 | 2019 |
| The effects of information overload on online conversation dynamics C Gunaratne, N Baral, W Rand, I Garibay, C Jayalath, C Senevirathna Computational and Mathematical Organization Theory 26, 255-276, 2020 | 35 | 2020 |
| Supervised machine learning based ensemble model for accurate prediction of type 2 diabetes R Akula, N Nguyen, I Garibay 2019 SoutheastCon, 1-8, 2019 | 30 | 2019 |
| Evolutionary model discovery of causal factors behind the socio-agricultural behavior of the ancestral Pueblo C Gunaratne, I Garibay Plos one 15 (12), e0239922, 2020 | 29 | 2020 |
| Exploring How Homophily and Accessibility Can Facilitate Polarization in Social Networks IG Cameron E. Taylor, Alexander V. Mantzaris Information 9 (325), 2018 | 29 | 2018 |
| Alternate social theory discovery using genetic programming: towards better understanding the artificial anasazi C Gunaratne, I Garibay Proceedings of the genetic and evolutionary computation conference, 115-122, 2017 | 28 | 2017 |
| Controversial information spreads faster and further than non-controversial information in Reddit J Jasser, I Garibay, S Scheinert, AV Mantzaris Journal of Computational Social Science 5 (1), 111-122, 2022 | 27 | 2022 |
| Investigating dynamics of COVID-19 spread and containment with agent-based modeling A Rajabi, AV Mantzaris, EC Mutlu, OO Garibay Applied Sciences 11 (12), 5367, 2021 | 27 | 2021 |
| Probabilistic model of narratives over topical trends in social media: A discrete time model TA Oghaz, EÇ Mutlu, J Jasser, N Yousefi, I Garibay Proceedings of the 31st ACM Conference on Hypertext and Social Media, 281-290, 2020 | 27 | 2020 |
| The modular genetic algorithm: Exploiting regularities in the problem space OO Garibay, II Garibay, AS Wu Computer and Information Sciences-ISCIS 2003: 18th International Symposium …, 2003 | 27 | 2003 |
Chathika GunaratneResearch Scientist, Oak Ridge National Laboratory確認したメール アドレス: ornl.gov
