MATH 4910/5010: Presentation Papers

Here's a list of suggested papers for your second presentation.

 ♦ "Topological Data Analysis Guided Segment Anything Model Prompt Optimization for Zero-Shot Segmentation in Biological Imaging", Ruben Glatt, Shusen Liu

 ♦ "Using Topological Data Analysis to classify Encrypted Bits", Jayati Kaushik, Aaruni Kaushik, Upasana Parashar

 ♦ "Topological Data Analysis Detects Percolation Thresholds in Arctic Melt-Pond Evolution", Wilfred Offord, Michael Coughlan, Ian J. Hewitt, Heather A. Harrington, Gillian Grindstaff

 ♦ "Topological data analysis reveals differences between simulated galaxies and dark matter haloes", Aaron Ouellette, Gilbert Holder, Ely Kerman

 ♦ "Synthetic Data Generation and Deep Learning for the Topological Analysis of 3D Data", Dylan Peek, Matt P. Skerritt, Stephan Chalup

 ♦ "Reliable Malware Analysis and Detection using Topology Data Analysis", Lionel Nganyewou Tidjon, Foutse Khomh

 ♦ "Machine Composition of Korean Music via Topological Data Analysis and Artificial Neural Network", Mai Lan Tran, Dongjin Lee, Jae-Hun Jung

 ♦ "Topological Data Analysis in smart manufacturing processes -- A survey on the state of the art", Martin Uray, Barbara Giunti, Michael Kerber, Stefan Huber

 ♦ "Topological data analysis hearing the shapes of drums and bells", Guo-Wei Wei