Ozlem Ozmen Garibay

TL;DR: Human-Centred Artificial Intelligence (HCAI) as mentioned in this paper advocates for a human-centered approach to AI that (1) is centered in human well-being, (2) is designed responsibly, (3) respects privacy, (4) follows humancentered design principles, (5) is subject to appropriate governance and oversight, and (6) interacts with individuals while respecting human cognitive capacities.

TL;DR: A limited version of the modular genetic algorithm is compared with a canonical genetic algorithm applied to the checkerboard-pattern discovery problem and it is observed that the MGA significantly outperforms the GA for high complexities.

TL;DR: An interpretable graph-based deep learning prediction model, AttentionSiteDTI, which utilizes protein binding sites along with a self-attention mechanism to address the problem of drug–target interaction prediction, inspired by sentence classification models in the field of Natural Language Processing.

TL;DR: In an increasingly innovation-driven economic environment, universities serve as engines of economic growth by igniting innovation, fueling entrepreneurship, and inspiring the next generation of innovators and entrepreneurs.

TL;DR: This work revisits Epstein’s “coupled contagion dynamics of fear and disease” model in order to extend and adapt it to explore fear-driven behavioral adaptations and their impact on efforts to combat the COVID-19 pandemic.