Search Results for author: Mahdi Jalili

Found 11 papers, 2 papers with code

Transfer Learning for Multi-lingual Tasks -- a Survey

no code implementations28 Aug 2021 Amir Reza Jafari, Behnam Heidary, Reza Farahbakhsh, Mostafa Salehi, Mahdi Jalili

These days different platforms such as social media provide their clients from different backgrounds and languages the possibility to connect and exchange information.

Transfer Learning

Multi-objective Scheduling of Electric Vehicle Charging/Discharging with Time of Use Tariff

no code implementations11 Aug 2021 Hui Song, Chen Liu, Mahdi Jalili, Xinghuo Yu, Peter McTaggart

Optimal coordinated charging is a multi-objective optimization problem (MOOP) in nature, with objective functions such as minimum price charging and minimum disruptions to the grid.

Who will accept my request? Predicting response of link initiation in two-way relation networks

no code implementations21 Dec 2020 Amin Javari, Mehrab Norouzitallab, Mahdi Jalili

We propose a methodology to solve the link initiation feedback prediction problem in this multilayer fashion.

Detection of Community Structures in Networks with Nodal Features based on Generative Probabilistic Approach

no code implementations24 Dec 2019 Hadi Zare, Mahdi Hajiabadi, Mahdi Jalili

The proposed approach learns the relevant features of communities through a generative probabilistic model without any prior assumption on the communities.

Community Detection

Self-Paced Multi-Label Learning with Diversity

2 code implementations8 Oct 2019 Seyed Amjad Seyedi, S. Siamak Ghodsi, Fardin Akhlaghian, Mahdi Jalili, Parham Moradi

The major challenge of learning from multi-label data has arisen from the overwhelming size of label space which makes this problem NP-hard.

Multi-Label Learning

Application of Deep Learning Long Short-Term Memory in Energy Demand Forecasting

no code implementations4 Mar 2019 Nameer Al Khafaf, Mahdi Jalili, Peter Sokolowski

The smart metering infrastructure has changed how electricity is measured in both residential and industrial application.

Management Time Series

Australia's long-term electricity demand forecasting using deep neural networks

no code implementations7 Jan 2018 Homayoun Hamedmoghadam, Nima Joorabloo, Mahdi Jalili

Accurate prediction of long-term electricity demand has a significant role in demand side management and electricity network planning and operation.


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