1 code implementation • 1 May 2024 • Arman Irani, Ju Yeon Park, Kevin Esterling, Michalis Faloutsos
First, we develop and release an Argument Detection model that can classify a piece of text as an argument with an F1 score between 79% and 86% on three different benchmark datasets.
no code implementations • 11 Jul 2021 • Md Omar Faruk Rokon, Pei Yan, Risul Islam, Michalis Faloutsos
Determiningrepository similarity is an essential building block in studying the dynamics and the evolution of such software ecosystems.
no code implementations • 14 Nov 2020 • Risul Islam, Andrey Lokhov, Nathan Lemons, Michalis Faloutsos
In the absence of a complete data set with mobility map, room and ambient temperatures, and HVAC data in the public domain, we simulate a physics-based thermal model of the rooms in a building and evaluate the performance of our inference algorithm on this simulated data.
no code implementations • 14 Nov 2020 • Risul Islam, Md Omar Faruk Rokon, Evangelos E. Papalexakis, Michalis Faloutsos
How can we expand the tensor decomposition to reveal a hierarchical structure of the multi-modal data in a self-adaptive way?
1 code implementation • 14 Nov 2020 • Risul Islam, Md Omar Faruk Rokon, Evangelos E. Papalexakis, Michalis Faloutsos
Our approach and our platform constitute an important step towards detecting activities of interest from a forum in an unsupervised learning fashion in practice.
no code implementations • 14 Nov 2020 • Risul Islam, Md Omar Faruk Rokon, Ahmad Darki, Michalis Faloutsos
Apart from online forums, this footprint appears in software development platforms, where authors create publicly-accessible malware repositories to share and collaborate.
no code implementations • 8 Jan 2020 • Joobin Gharibshah, Evangelos E. Papalexakis, Michalis Faloutsos
How can we extract useful information from a security forum?
no code implementations • 13 Apr 2018 • Joobin Gharibshah, Evangelos E. Papalexakis, Michalis Faloutsos
We propose RIPEx, a systematic approach to identify and label IP addresses in security forums by utilizing a cross-forum learning method.