Altan Koçyiğit

E-mail

kocyigit@metu.edu.tr

Department

Graduate School of Informatics

ORCID

0000-0001-5003-4127

Scopus Author ID

15755652300

Web of Science Researcher ID

S-6347-2016

Data-driven alarm parameter optimization Eylen, Tayfun; Eren, Pekin Erhan; Koçyiğit, Altan (2025-05-01) Most manufacturing sector businesses utilize advanced control mechanisms to sustain their ongoing operations. An alarm management system is one of these control mechanisms that works as a safety barrier, and it contains al...
Categorization of Technical Debt in Software as a Service Applications Özcan Top, Özden; KURANEL, YASEMİN; Koçyiğit, Altan (2023-12-01) Technical debt (TD) refers to the outcomes of making poor decisions or choosing simpler solutions generally for the sake of faster code delivery in software development projects. Eventually, TD is repaid and usually the lo...
ARFED: Attack-Resistant Federated averaging based on outlier elimination Işık Polat, Ece; Polat, Gorkem; Koçyiğit, Altan (2023-04-01) In federated learning, each participant trains its local model with its own data and a global model is formed at a trusted server by aggregating model updates coming from these participants. Since the server has no effect ...
A reference model for software product line capability assessment GÖKALP AYDIN, EBRU; Çalişkanbaş, Bora; Koçyiğit, Altan (2023-01-01) The Software Product Line (SPL) approach receives more attention due to the observed benefits, such as cost reduction, quality improvements, and reduced delivery time. Although organizations are aware of its potential bene...
A Comprehensive Big Data Framework for Energy Markets: Oil and Gas Demand Forecasting Bayar, Alp; Koç, Burcu; Gökalp, Mert Onuralp; Özden, Baran; Yeldan, Yiğit; Koçyiğit, Altan; Eren, Pekin Erhan (2022-12-29) Demand forecasting in the energy sector is essential for both countries and companies to plan their supply and demand. Agents in the highly volatile oil markets have to act fast and data-driven. In the literature, studies ...
A process assessment model for big data analytics Gökalp, Ebru; Gökalp, Mert Onuralp; Kayabay, Kerem; Gökalp, Selin; Koçyiğit, Altan; Eren, Pekin Erhan (2022-03-01) Big data analytics (BDA) grasp the potential of generating valuable insights and empowering businesses to support their strategic decision-making. However, although organizations are aware of BDAs’ potential opportunities,...
Data science roadmapping: An architectural framework for facilitating transformation towards a data-driven organization Kayabay, Kerem; Gökalp, Mert Onuralp; Eren, Pekin Erhan; Koçyiğit, Altan (2022-01-01) Leveraging data science can enable businesses to exploit data for competitive advantage by generating valuable insights. However, many industries cannot effectively incorporate data science into their business processes, a...
The development of data analytics maturity assessment framework: DAMAF Gökalp, Mert Onuralp; Gökalp, Selin; Koçyiğit, Altan (2021-12-01) Today, data analytics plays a vital role in attaining competitive advantage, generating business value, and driving revenue streams for organizations. Thus, the organizations pay significant attention to improve their data...
Federated Learning with Support of HetNets, Cloud Computing, and Edge Computing Koçyiğit, Altan (Springer Nature, 2021-10-01) With the recent advancements in heterogeneous networks, particularly following the improvements in the Internet of Things (IoT) supporting infrastructures, various machine learning applications which use distributed ...
Evaluation and Analysis of Different Aggregation and Hyperparameter Selection Methods for Federated Brain Tumor Segmentation Polat, Görkem; Işık Polat, Ece; Koçyiğit, Altan; Temizel, Alptekin (2021-9-27) Availability of large, diverse, and multi-national datasets is crucial for the development of effective and clinically applicable AI systems in the medical imaging domain. However, forming a global model by bringing these ...

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