output
19972026
most citedApplications of Deep Learning and Reinforcement Learning to Biological Data

876 citations

79 papers

cs.AI2026

Optimizing Appliance Scheduling for Solar Energy Management Using Metaheuristic Algorithms

Hiba Ahmed, Alexander E. I. Brownlee, Jason Adair +1

Renewable energy is essential for meeting future energy demands; however, solar energy generation, which occurs only during daylight hours often does not align with household consu…

q-bio.QM2025

Foundation Models in Biomedical Imaging: Turning Hype into Reality

Amgad Muneer, Kai Zhang, Ibraheem Hamdi +6

Foundation models (FMs) are driving a prominent shift in biomedical imaging from task-specific models to unified backbone models for diverse tasks. This opens an avenue to integrat…

cs.GT2025★ 3 cited

Disentangling trust from cooperation: Evolution of trust as reduced monitoring in social dilemmas

Cedric Perret, The Anh Han, Elias Fernández Domingos +2

It is commonly assumed that trust increases cooperation. However, game-theoretic models often fail to distinguish between cooperative actions and trust, making it difficult to inde…

cs.AI2025

Proceedings of 1st Workshop on Advancing Artificial Intelligence through Theory of Mind

Mouad Abrini, Omri Abend, Dina Acklin +105

This volume includes a selection of papers presented at the Workshop on Advancing Artificial Intelligence through Theory of Mind held at AAAI 2025 in Philadelphia US on 3rd March 2…

eess.IV2024★ 47 cited

Deep Learning for Surgical Instrument Recognition and Segmentation in Robotic-Assisted Surgeries: A Systematic Review

Fatimaelzahraa Ali Ahmed, Mahmoud Yousef, Mariam Ali Ahmed +7

Applying deep learning (DL) for annotating surgical instruments in robot-assisted minimally invasive surgeries (MIS) represents a significant advancement in surgical technology. Th…

cs.NE2024

Dynastic Potential Crossover Operator

Francisco Chicano, Gabriela Ochoa, Darrell Whitley +1

An optimal recombination operator for two parent solutions provides the best solution among those that take the value for each variable from one of the parents (gene transmission p…