activity
20202026
most citedPredicting air quality via multimodal AI and satellite imagery

82 citations · 153 across the 22 of their papers we have counts for

collaborators
Showing 2026Show all

5 papers · 1 filter

cs.LG2026

A Computational Framework for Modelling Organisation-Level Semantic Identity from Longitudinal Textual Data

Brinda Murali Krishna, Oktay Karakuş, Can Eyupoglu +1

Can longitudinal texts produced by organisationally affiliated contributors reveal collective semantic differentiation and change without obscuring differences among those contribu…

cs.LG2026

Terrain signatures in Welsh settlement names

Oktay Karakuş, Can Eyupoglu

Landscapes are named, but whether names retain measurable environmental information beyond broad geographic structure is rarely tested. We analysed 3,757 Welsh settlements using a…

cs.LG2026

TEMPLAR Wales: A georeferenced environmental and toponymic dataset of Welsh settlements

Oktay Karakuş, Can Eyupoglu

Place names provide persistent records of how landscapes have been described and organised, but their quantitative reuse requires explicit separation between mapped places, lexical…

cs.LG2026

Stable Global Weighting of Flow Mixtures using Simplex Exponential Moving Average

Benjamin Wiriyapong, Oktay Karakus, Can Eyupoglu +1

Normalising flows provide a powerful variational family for approximate inference, yet individual architectures often fail to generalise across heterogeneous posterior geometries.…

cs.LG2026

Sequential Feature Selection for Efficient Landslide Segmentation from Multi-Spectral Data

Arsalaan Ahmad, Oktay Karakus, Paul L. Rosin

Landslide detection from satellite imagery has advanced through deep learning, yet most models rely on large, highly correlated spectral-topographic inputs whose contributions rema…