activity
20162024
most citedMulti-scale Transformer Pyramid Networks for Multivariate Time Series Forecasting

47 citations · 96 across the 10 of their papers we have counts for

collaborators

10 papers

cs.RO2024

Undergraduate Robotics Education with General Instructors using a Student-Centered Personalized Learning Framework

Rui Wu, David J Feil-Seifer, Ponkoj C Shill +7

Recent advancements in robotics, including applications like self-driving cars, unmanned systems, and medical robots, have had a significant impact on the job market. On one hand,…

cs.HC2024★ 5 cited

Fostering Joint Innovation: A Global Online Platform for Ideas Sharing and Collaboration

Hossein Jamali, Sergiu M. Dascalu, Frederick C. Harris

In today's world, where moving forward hinges on innovation and working together, this article introduces a new global online platform that is all about sparking teamwork to come u…

cs.LG2023★ 18 cited

Sparse Transformer with Local and Seasonal Adaptation for Multivariate Time Series Forecasting

Yifan Zhang, Rui Wu, Sergiu M. Dascalu +1

Transformers have achieved remarkable performance in multivariate time series(MTS) forecasting due to their capability to capture long-term dependencies. However, the canonical att…

cs.AI2023★ 19 cited

A Schedule of Duties in the Cloud Space Using a Modified Salp Swarm Algorithm

Hossein Jamali, Ponkoj Chandra Shill, David Feil-Seifer +2

Cloud computing is a concept introduced in the information technology era, with the main components being the grid, distributed, and valuable computing. The cloud is being develope…

cs.RO2023

WIP: Development of a Student-Centered Personalized Learning Framework to Advance Undergraduate Robotics Education

Ponkoj Chandra Shill, Rui Wu, Hossein Jamali +4

This paper presents a work-in-progress on a learn-ing system that will provide robotics students with a personalized learning environment. This addresses both the scarcity of skill…

cs.LG2023★ 47 cited

Multi-scale Transformer Pyramid Networks for Multivariate Time Series Forecasting

Yifan Zhang, Rui Wu, Sergiu M. Dascalu +1

Multivariate Time Series (MTS) forecasting involves modeling temporal dependencies within historical records. Transformers have demonstrated remarkable performance in MTS forecasti…

cs.CR2021★ 2 cited

Cybersecurity Information Exchange with Privacy (CYBEX-P) and TAHOE -- A Cyberthreat Language

Farhan Sadique, Ignacio Astaburuaga, Raghav Kaul +7

Cybersecurity information sharing (CIS) is envisioned to protect organizations more effectively from advanced cyber attacks. However, a completely automated CIS platform is not wid…

cs.NE2017★ 3 cited

Collaborative Evolution of 3D Models

Juan C. Quiroz, Amit Banerjee, Sushil J. Louis +1

We present a computational model of creative design based on collaborative interactive genetic algorithms. In our model, designers individually guide interactive genetic algorithms…

cs.GR2017

Interactive Shape Perturbation

Juan C. Quiroz, Sergiu M. Dascalu

We present a web application for the procedural generation of perturbations of 3D models. We generate the perturbations by generating vertex shaders that change the positions of ve…

cs.GR2016★ 2 cited

Design and Implementation of a Procedural Content Generation Web Application for Vertex Shaders

Juan C. Quiroz, Sergiu M. Dascalu

We present a web application for the procedural generation of transformations of 3D models. We generate the transformations by algorithmically generating the vertex shaders of the…