no code implementations • 17 Aug 2023 • Yinzheng Zhong, Alexei Lisitsa
In this paper, we introduce the transition-based feature generator (TFGen) technique, which reads general activity data with attributes and generates step-by-step generated data.
no code implementations • 22 Jul 2023 • Alexei Lisitsa, Mateo Salles, Alexei Vernitski
We use machine learning to classify examples of braids (or flat braids) as trivial or non-trivial.
no code implementations • 10 Jun 2022 • Alexei Lisitsa, Mateo Salles, Alexei Vernitski
We report on our success on solving the problem of untangling braids up to length 20 and width 4.
1 code implementation • 1 Nov 2021 • Manolis Pitsikalis, Thanh-Toan Do, Alexei Lisitsa, Shan Luo
The shipping industry is an important component of the global trade and economy, however in order to ensure law compliance and safety it needs to be monitored.
no code implementations • 29 Sep 2021 • Abdullah Khan, Alexei Vernitski, Alexei Lisitsa
We interface the braid untangling problem with the OpenAI Gym environment, a widely used way of connecting agents to reinforcement learning problems.
1 code implementation • 27 Aug 2021 • Manolis Pitsikalis, Alexei Lisitsa, Shan Luo
In this paper, we propose a new logic based temporal phenomena definition language, specifically tailored for Complex Event Processing, that allows the representation of both instantaneous and durative phenomena and the temporal relations between them.