1 citations · 2 across the 7 of their papers we have counts for
9 papers
Sequents, barcodes, and homology
Saugata Basu, Negin Karisani, Laxmi Parida
We consider the problem of generating hypothesis from data based on ideas from logic. We introduce a notion of barcodes, which we call sequent barcodes, that mirrors the barcodes i…
Computing the homology functor on semi-algebraic maps and diagrams
Saugata Basu, Negin Karisani
Developing an algorithm for computing the Betti numbers of semi-algebraic sets with singly exponential complexity has been a holy grail in algorithmic semi-algebraic geometry and o…
Multi-View Active Learning for Short Text Classification in User-Generated Data
Payam Karisani, Negin Karisani, Li Xiong
Mining user-generated data often suffers from the lack of enough labeled data, short document lengths, and the informal user language. In this paper, we propose a novel active lear…
Semi-Supervised Text Classification via Self-Pretraining
Payam Karisani, Negin Karisani
We present a neural semi-supervised learning model termed Self-Pretraining. Our model is inspired by the classic self-training algorithm. However, as opposed to self-training, Self…
Inferring COVID-19 Biological Pathways from Clinical Phenotypes via Topological Analysis
Negin Karisani, Daniel E. Platt, Saugata Basu +1
COVID-19 has caused thousands of deaths around the world and also resulted in a large international economic disruption. Identifying the pathways associated with this illness can h…
Efficient simplicial replacement of semi-algebraic sets
Saugata Basu, Negin Karisani
We prove that for any , there exists an algorithm which takes as input a description of a semi-algebraic subset given by a quantifier-free fir…