John McCall

P1.182: Cold comfort: Viability testing in Australasia’s first hypothermic machine perfusion programme for liver transplantation.

Jacques Eastment, Jules Devaux, Kevin Yi, Peter Swan et autres

au, nz (code pays fourni par la source)

Advancing Prostate Cancer Survivorship through Transatlantic Consortium Science: The iCCaRE Initiative

Folakemi T. Odedina, Roxana Dronca, Kimlin Ashing, Ernest Kaninjing et autres

Black/African American populations, globally, bear the greatest prostate cancer burden compared with other racial/ethnic groups. Addressing prostate cancer disparities in Black men is complex, requiring a patient-centered, community-centric, and comprehensive approach. This study integrates Inclusive Cancer Care Research Equity (iCCaRE) Consortium findings …

us, Nigéria (code pays fourni par la source)

Development of a prostate cancer survivorship care toolkit for Black men with clinical and contextual tailoring

Kimlin Ashing, Floyd Willis, Christopher Williams, James Morrison et autres

PURPOSE: Black men experience the highest prostate cancer (CaP) burden among all racial and ethnic groups, underscoring the urgent need for research to guide the development and implementation of culturally tailored strategies aimed at reducing disparities and improving health outcomes. Survivorship care …

us, Nigéria (code pays fourni par la source)

Evolutionary Optimization of Autonomous Agents for Decreasing Resource Intensity on Geographically Located Interdependent Task Sets

Martin Fyvie, John McCall, Alexandru-Ciprian Zăvoianu

gb (code pays fourni par la source)

Abstract A024: Whole person survivorship: Multilevel distress in prostate cancer survivors from priority communities

Kimlin Ashing, Floyd B. Willis, Christopher Williams, John McCall et autres

Abstract Introduction: Advances in treatment have led to significant increases in survival rates, with over 90% of men diagnosed with prostate cancer (CaP) living at least five years. However, surviving cancer and its treatment often weigh a hefty survivorship burden. Men from …

us (code pays fourni par la source)

Receptivity of Black Men to a Point of Prostate Cancer Diagnosis Virtual Reality Assistant (ViRA) (Preprint)

Folakemi T. Odedina, Che Ngufor, Dottington Fulllwood, Mary Ellen Young et autres

BACKGROUND Black men face a disproportionate burden of prostate cancer (CaP), compounded by unmet psychosocial needs at the point of prostate cancer diagnosis (PPCD). At the PPCD, many Black men experience profound emotional distress, uncertainty, and a lack of culturally competent care, …

Generating Realistic Benchmarks for Dynamic Truck and Trailer Scheduling using Gaussian Copulas

Joan Alza, Josu Ceberio, Mark Bartlett, John McCall

Academic research in dynamic optimisation uses benchmark generators to artificially simulate controlled and reproducible changing-environments to systematically compare algorithmic performance under uncertainty. However, due to the scarcity or difficulty in acquiring real-world data, benchmarks often fail to incorporate real-world features, such as …

gb, es (code pays fourni par la source)

Evaluating a Novel Explainability Method for Metaheuristics via a User Study

G. Catalano, Alexander E. I. Brownlee, David Cairns, John McCall et autres

It is easy to point out why a method should not be a black box, but it is hard to define what would make it sufficiently transparent.

gb (code pays fourni par la source)

Interpretable Decision Trees to Predict Solution Fitness

G. Catalano, Alexander E. I. Brownlee, David Cairns, Russell Ainslie et autres

Metaheuristic algorithms are powerful tools for tackling complex optimization problems, but their black-box nature often hinders user trust and understanding. This paper presents a novel methodology for enhancing the explainability of metaheuristics by employing decision trees with splitting criteria based on Partial …

gb (code pays fourni par la source)

Introduction to the Special Issue on Explainable AI in Evolutionary Computation—Part 2

Jaume Bacardit, Alexander E. I. Brownlee, Stefano Cagnoni, Giovanni Iacca et autres

No abstract available.

gb, it (code pays fourni par la source)

Towards Explainable Metaheuristics: Feature Mining of Search Trajectories through Principal Component Projection

Martin Fyvie, John McCall, Lee A. Christie

While population-based metaheuristics have proven useful for refining and improving explainable AI systems, they are seldom the focus of explanatory approaches themselves. This stems from their inherently stochastic, population-driven searches, which complicate the use of standard explainability techniques. In this article, we …

gb (code pays fourni par la source)

Abstract 994: Advancing health equity and reducing disparities in prostate cancer in Black men: iCCaRE

Kimlin Ashing, Timethia Bonner, Ewan K. Cobran, Folakemi T. Odedina et autres

Abstract In the US and globally, Black men experience the highest prostate cancer burden among all racial and ethnic groups, underscoring the urgent need for research to guide the development and implementation of culturally tailored strategies aimed at reducing disparities and improving …

us (code pays fourni par la source)