430 citations · 446 across the 7 of their papers we have counts for
7 papers
Supports for Outerplanar and Bounded Treewidth Graphs
Rajiv Raman, Karamjeet Singh
We study the existence and construction of sparse supports for hypergraphs derived from subgraphs of a graph . For a hypergraph , a support is a graph on $X…
On Supports for graphs of bounded genus
Rajiv Raman, Karamjeet Singh
Let be a hypergraph. A support is a graph on such that for each , the subgraph of induced on the elements in is connected. We con…
Adaptive Class Learning to Screen Diabetic Disorders in Fundus Images of Eye
Shramana Dey, Pallabi Dutta, Riddhasree Bhattacharyya +3
The prevalence of ocular illnesses is growing globally, presenting a substantial public health challenge. Early detection and timely intervention are crucial for averting visual im…
The Persistent Robot Charging Problem for Long-Duration Autonomy
Nitesh Kumar, Jaekyung Jackie Lee, Sivakumar Rathinam +3
This paper introduces a novel formulation aimed at determining the optimal schedule for recharging a fleet of heterogeneous robots, with the primary objective of minimizing res…
Underspecification Presents Challenges for Credibility in Modern Machine Learning
Alexander D'Amour, Katherine Heller, Dan Moldovan +37
ML models often exhibit unexpectedly poor behavior when they are deployed in real-world domains. We identify underspecification as a key reason for these failures. An ML pipeline i…
Quantitative and Qualitative Evaluation of Explainable Deep Learning Methods for Ophthalmic Diagnosis
Amitojdeep Singh, J. Jothi Balaji, Mohammed Abdul Rasheed +3
Background: The lack of explanations for the decisions made by algorithms such as deep learning has hampered their acceptance by the clinical community despite highly accurate resu…
Deep Learning vs. Human Graders for Classifying Severity Levels of Diabetic Retinopathy in a Real-World Nationwide Screening Program
Paisan Raumviboonsuk, Jonathan Krause, Peranut Chotcomwongse +29
Deep learning algorithms have been used to detect diabetic retinopathy (DR) with specialist-level accuracy. This study aims to validate one such algorithm on a large-scale clinical…