37 citations · 39 across the 9 of their papers we have counts for
9 papers
Planetary Prediction Engine: Autonomous Geospatial Prediction via Intelligent Data Selection and Foundation Model Embeddings
Evelyn Ma, Rama Kumar Pasumarthi, Kishwar Shafin +26
Addressing critical global challenges, from food security and disaster risk to disease outbreaks and socio-economic vulnerability, demands high-fidelity geospatial modeling. Howeve…
Domain-agnostic and Multi-level Evaluation of Generative Models
Girmaw Abebe Tadesse, Jannis Born, Celia Cintas +4
While the capabilities of generative models heavily improved in different domains (images, text, graphs, molecules, etc.), their evaluation metrics largely remain based on simplifi…
A Collaborative Approach to the Analysis of the COVID-19 Response in Africa
Sharon Okwako, Irene Wanyana, Alice Namale +6
The COVID-19 crisis has emphasized the need for scientific methods such as machine learning to speed up the discovery of solutions to the pandemic. Harnessing machine learning tech…
Model-free feature selection to facilitate automatic discovery of divergent subgroups in tabular data
Girmaw Abebe Tadesse, William Ogallo, Celia Cintas +1
Data-centric AI encourages the need of cleaning and understanding of data in order to achieve trustworthy AI. Existing technologies, such as AutoML, make it easier to design and tr…
Sparsity-based Feature Selection for Anomalous Subgroup Discovery
Girmaw Abebe Tadesse, William Ogallo, Catherine Wanjiru +5
Anomalous pattern detection aims to identify instances where deviation from normalcy is evident, and is widely applicable across domains. Multiple anomalous detection techniques ha…
Post-discovery Analysis of Anomalous Subsets
Isaiah Onando Mulang', William Ogallo, Girmaw Abebe Tadesse +1
Analyzing the behaviour of a population in response to disease and interventions is critical to unearth variability in healthcare as well as understand sub-populations that require…
Automated Supervised Feature Selection for Differentiated Patterns of Care
Catherine Wanjiru, William Ogallo, Girmaw Abebe Tadesse +3
An automated feature selection pipeline was developed using several state-of-the-art feature selection techniques to select optimal features for Differentiating Patterns of Care (D…
Disease Progression Modeling Workbench 360
Parthasarathy Suryanarayanan, Prithwish Chakraborty, Piyush Madan +9
In this work we introduce Disease Progression Modeling workbench 360 (DPM360) opensource clinical informatics framework for collaborative research and delivery of healthcare AI. DP…
WNTRAC: AI Assisted Tracking of Non-pharmaceutical Interventions Implemented Worldwide for COVID-19
Parthasarathy Suryanarayanan, Ching-Huei Tsou, Ananya Poddar +23
The Coronavirus disease 2019 (COVID-19) global pandemic has transformed almost every facet of human society throughout the world. Against an emerging, highly transmissible disease…