activity
20202025
most citedMachine Learning for Glacier Monitoring in the Hindu Kush Himalaya

11 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025

BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models

Catherine Villeneuve, Benjamin Akera, Mélisande Teng +1

Species distribution models (SDMs), which aim to predict species occurrence based on environmental variables, are widely used to monitor and respond to biodiversity change. Recent…

cs.LG2023★ 2 cited

SatBird: Bird Species Distribution Modeling with Remote Sensing and Citizen Science Data

Mélisande Teng, Amna Elmustafa, Benjamin Akera +4

Biodiversity is declining at an unprecedented rate, impacting ecosystem services necessary to ensure food, water, and human health and well-being. Understanding the distribution of…

cs.CV2023

Bird Distribution Modelling using Remote Sensing and Citizen Science data

Mélisande Teng, Amna Elmustafa, Benjamin Akera +2

Climate change is a major driver of biodiversity loss, changing the geographic range and abundance of many species. However, there remain significant knowledge gaps about the distr…

cs.CL2021

HBert + BiasCorp -- Fighting Racism on the Web

Olawale Onabola, Zhuang Ma, Yang Xie +5

Subtle and overt racism is still present both in physical and online communities today and has impacted many lives in different segments of the society. In this short piece of work…

cs.CV2020★ 11 cited

Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya

Shimaa Baraka, Benjamin Akera, Bibek Aryal +7

Glacier mapping is key to ecological monitoring in the hkh region. Climate change poses a risk to individuals whose livelihoods depend on the health of glacier ecosystems. In this…