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Showing 51–100 of 185 papers

TitleStatusHype
Kuro Siwo: 33 billion m^2 under the water. A global multi-temporal satellite dataset for rapid flood mappingCode1
Enabling Decision-Support Systems through Automated Cell Tower Detection—0
RELand: Risk Estimation of Landmines via Interpretable Invariant Risk MinimizationCode0
FloodBrain: Flood Disaster Reporting by Web-based Retrieval Augmented Generation with an LLM—0
MTAC: Hierarchical Reinforcement Learning-based Multi-gait Terrain-adaptive Quadruped Controller—0
A Call to Arms: AI Should be Critical for Social Media Analysis of Conflict Zones—0
Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data—0
Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case StudyCode0
Assessing the Causal Impact of Humanitarian Aid on Food Security—0
Analyzing Textual Data for Fatality Classification in Afghanistan's Armed Conflicts: A BERT Approach—0
Leave no Place Behind: Improved Geolocation in Humanitarian Documents—0
A New Task and Dataset on Detecting Attacks on Human Rights DefendersCode0
Leveraging Domain Knowledge for Inclusive and Bias-aware Humanitarian Response Entry ClassificationCode0
IKDSumm: Incorporating Key-phrases into BERT for extractive Disaster Tweet Summarization—0
Train Global, Tailor Local: Minimalist Multilingual Translation into Endangered Languages—0
Fairness and representation in satellite-based poverty maps: Evidence of urban-rural disparities and their impacts on downstream policy—0
Multi-modal learning for geospatial vegetation forecastingCode1
RweetMiner: Automatic identification and categorization of help requests on twitter during disasters—0
Novel Machine Learning Approach for Predicting Poverty using Temperature and Remote Sensing Data in Ethiopia—0
Extracting Victim Counts from TextCode0
The YODO algorithm: An efficient computational framework for sensitivity analysis in Bayesian networks—0
TopoBERT: Plug and Play Toponym Recognition Module Harnessing Fine-tuned BERT—0
Multi-Spectral Image Classification with Ultra-Lean Complex-Valued Models—0
A Transformer Framework for Data Fusion and Multi-Task Learning in Smart CitiesCode0
Can Strategic Data Collection Improve the Performance of Poverty Prediction Models?—0
Fine-grained Population Mapping from Coarse Census Counts and Open GeodataCode1
A General Purpose Neural Architecture for Geospatial Systems—0
OGInfra: Geolocating Oil & Gas Infrastructure using Remote Sensing based Active Fire Data—0
Learning to forecast vegetation greenness at fine resolution over Africa with ConvLSTMsCode1
Rethinking the Event Coding Pipeline with Prompt EntailmentCode0
HumSet: Dataset of Multilingual Information Extraction and Classification for Humanitarian Crisis ResponseCode0
Prioritizing emergency evacuations under compounding levels of uncertaintyCode0
Estimating the Effects of Syrian Civil War—0
NeurIPS'22 Cross-Domain MetaDL competition: Design and baseline results—0
Multi-AI Complex Systems in Humanitarian Response—0
Open High-Resolution Satellite Imagery: The WorldStrat Dataset -- With Application to Super-ResolutionCode2
You Only Derive Once (YODO): Automatic Differentiation for Efficient Sensitivity Analysis in Bayesian NetworksCode0
Classifying Arabic Crisis Tweets using Data Selection and Pre-trained Language Models—0
Knowledge Representation and Language Simplification of Human Rights—0
Drone Flocking Optimization using NSGA-II and Principal Component Analysis—0
A Summary of the ComParE COVID-19 Challenges—0
Creating an institutional ecosystem for cash transfer programming: Lessons from post-disaster governance in Indonesia—0
Sampling Strategy for Fine-Tuning Segmentation Models to Crisis Area under Scarcity of Data—0
Deep-Disaster: Unsupervised Disaster Detection and Localization Using Visual DataCode0
Dual-Tasks Siamese Transformer Framework for Building Damage Assessment—0
ADAPT: An Open-Source sUAS Payload for Real-Time Disaster Prediction and Response with AI—0
Interpretability in Convolutional Neural Networks for Building Damage Classification in Satellite Imagery—0
Incidents1M: a large-scale dataset of images with natural disasters, damage, and incidentsCode1
Developing a Trusted Human-AI Network for Humanitarian Benefit—0
UCD-CS at TREC 2021 Incident Streams TrackCode0
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