activity
20182025
most citedAn Exploratory Analysis of Biased Learners in Soft-Sensing Frames

2 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

stat.AP2025★ 1 cited

Forecasting Monthly Residential Natural Gas Demand Using Just-In-Time-Learning Modeling

Burak Alakent, Erkan Isikli, Cigdem Kadaifci +1

Natural gas (NG) is relatively a clean source of energy, particularly compared to fossil fuels, and worldwide consumption of NG has been increasing almost linearly in the last two…

math.OC2025

A two-stage stochastic MINLP model to design and operate a multi-energy microgrid by addressing carbon emission regulatory policies uncertainty

Handan Akülker, Burak Alakent, Erdal Aydin

This study suggests a novel two-stage Mixed-Integer Nonlinear Programming model considering uncertainty related to implementation of carbon dioxide emission regulatory policies, wh…

cs.LG2022★ 2 cited

Semi-supervised Variational Autoencoder for Regression: Application on Soft Sensors

Yilin Zhuang, Zhuobin Zhou, Burak Alakent +1

We present the development of a semi-supervised regression method using variational autoencoders (VAE), which is customized for use in soft sensing applications. We motivate the us…

stat.ML2019★ 2 cited

An Exploratory Analysis of Biased Learners in Soft-Sensing Frames

Aysun Urhan, Burak Alakent

Data driven soft sensor design has recently gained immense popularity, due to advances in sensory devices, and a growing interest in data mining. While partial least squares (PLS)…

stat.OT2018

Application of Robust Estimators in Shewhart S-Charts

Burak Alakent, Ece C. Mutlu

Maintaining the quality of manufactured products at a desired level is known to increase customer satisfaction and profitability. Shewhart control chart is the most widely used in…