works on

From the 1 of 16 papers with an AI index.

most citedFormality of hypercommutative algebras of Kähler and Calabi-Yau manifolds

1 citations

29 papers

cs.CV2026

AT-ViT: Area-Targeted Multi-View Vision Transformer with Cross-Attention and Multi-Scale Patching for Plant Trait Recognition in Herbarium Images

Amani Sedrat, Takieddine Chehhat, Youcef Sklab +6

Automated plant traits recognition from herbarium images is essential for plant sciences, yet remains challenging because background elements (e.g., textual labels, mounting artifa…

quant-ph2026

Nanoscale graphitization and defect evolution in silicon-vacancy center-containing nanodiamonds under high-pressure high-temperature annealing

M. De Feudis, B. Yavkin, L. Henry +6

Group-IV color centers, such as the silicon-vacancy (SiV) defect, are highly promising for solid-state quantum technologies. However, nanodiamonds typically exhibit significant lat…

cs.SC2026

Delayed Constraints in Narrowing for the Logic-Based Analyses of Real-Time Systems

Santiago Escobar, Raúl López-Rueda, Carlos Olarte

The formal analysis of real-time systems must address two dimensions of infiniteness: an unbounded number of agents and messages, and a potentially infinite state space induced by…

cs.LG2026

Benchmarking Generalization in Financial Statement Fraud Detection: robust evaluation and novel tasks

Guy Stephane Waffo Dzuyo, Gaël Guibon, Christophe Cerisara +1

Financial statement fraud detection (FSFD) is crucial for market integrity but faces challenges from increasingly sophisticated schemes and under-utilized textual data in financial…

cond-mat.mtrl-sci2026

A coupled fully kinetic hydrogen transport and ductile phase-field fracture framework for modeling hydrogen embrittlement

Abdelrahman Hussein, Yann Charles, Jukka Kömi +1

The paper presents a computational framework that couples a kinetic model of hydrogen transport with a geometric phase‑field method for ductile fracture, enabling simulation of hyd…

cs.CL2026

Large-Language-Models-as-a-Judge in Theory-Agnostic Adaptive Metric-Alignment for Prototypical Networks in Personality Recognition

Jing Jie Tan, Ban-Hoe Kwan, Danny Wee-Kiat Ng +6

Personality recognition has traditionally been constrained by theory-dependent formulations, where models are trained to fit predefined psychological taxonomies rather than uncover…