Search Results for author: Sepideh Pashami

Found 8 papers, 3 papers with code

Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection

1 code implementation17 Nov 2021 Mohammed Ghaith Altarabichi, Sławomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhad

Such a framework allows for using wrapper approaches in a much more computationally efficient way, significantly increasing the quality of feature selection solutions achievable, especially on large datasets.

feature selection

AI perspectives in Smart Cities and Communities to enable road vehicle automation and smart traffic control

no code implementations7 Apr 2021 Cristofer Englund, Eren Erdal Aksoy, Fernando Alonso-Fernandez, Martin Daniel Cooney, Sepideh Pashami, Bjorn Astrand

This paper describes AI perspectives in SCC and gives an overview of AI-based technologies used in traffic to enable road vehicle automation and smart traffic control.

The Concordance Index decomposition: A measure for a deeper understanding of survival prediction models

1 code implementation28 Feb 2022 Abdallah Alabdallah, Mattias Ohlsson, Sepideh Pashami, Thorsteinn Rögnvaldsson

In contrast to such deep learning methods, classical machine learning models deteriorate when the censoring level decreases due to their inability to improve on ranking the events versus other events.

Survival Analysis Survival Prediction

Heterogeneous Federated Learning via Personalized Generative Networks

no code implementations25 Aug 2023 Zahra Taghiyarrenani, Abdallah Alabdallah, Slawomir Nowaczyk, Sepideh Pashami

In this paper, we provide theoretical proof that minimizing heterogeneity between clients facilitates the convergence of a global model for every single client.

Federated Learning Transfer Learning

Component attention network for multimodal dance improvisation recognition

1 code implementation24 Aug 2023 Jia Fu, Jiarui Tan, Wenjie Yin, Sepideh Pashami, Mårten Björkman

Motion analysis of improvised dance can be challenging due to its unique dynamics.

Forecasting Auxiliary Energy Consumption for Electric Heavy-Duty Vehicles

no code implementations27 Nov 2023 Yuantao Fan, Zhenkan Wang, Sepideh Pashami, Slawomir Nowaczyk, Henrik Ydreskog

Given that the employed groupings correspond to relevant sub-populations, the associations between the input features and the target values are consistent within each cluster but different across clusters.

regression

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