Tootfinder

Yes, exactly my emotions, and then we have five weeks of vacation (school holidays) starting this weekend 😎
#summerholiday #free #schoolholidays

NestGNN: A Graph Neural Network Framework Generalizing the Nested Logit Model for Travel Mode Choice
Yuqi Zhou, Zhanhong Cheng, Lingqian Hu, Yuheng Bu, Shenhao Wang
https://arxiv.org/abs/2509.07123

NestGNN: A Graph Neural Network Framework Generalizing the Nested Logit Model for Travel Mode Choice
Nested logit (NL) has been commonly used for discrete choice analysis, including a wide range of applications such as travel mode choice, automobile ownership, or location decisions. However, the classical NL models are restricted by their limited representation capability and handcrafted utility specification. While researchers introduced deep neural networks (DNNs) to tackle such challenges, the existing DNNs cannot explicitly capture inter-alternative correlations in the discrete choice cont…

Hands-on with iPadOS 26: new windowing system is great and other enhancements like smarter Shortcuts and Files app make the iPad better for professional use (Jason Snell/Six Colors)
https://sixcolors.com/post/2025/07/first-look-ipados-26-public-beta/

First Look: iPadOS 26 Public Beta
iPadOS 26, now available as a Public Beta, is one of the biggest updates in iPad history. There’s a new design that changes the look and feel of the whole interface, yes, but also the introdu…

Leveraging Pathology Foundation Models for Panoptic Segmentation of Melanoma in H&E Images
Jiaqi Lv, Yijie Zhu, Carmen Guadalupe Colin Tenorio, Brinder Singh Chohan, Mark Eastwood, Shan E Ahmed Raza
https://arxiv.org/abs/2507.13974

Leveraging Pathology Foundation Models for Panoptic Segmentation of Melanoma in H&E Images
Melanoma is an aggressive form of skin cancer with rapid progression and high metastatic potential. Accurate characterisation of tissue morphology in melanoma is crucial for prognosis and treatment planning. However, manual segmentation of tissue regions from haematoxylin and eosin (H&E) stained whole-slide images (WSIs) is labour-intensive and prone to inter-observer variability, this motivates the need for reliable automated tissue segmentation methods. In this study, we propose a novel deep …