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14 results for “anytime-valid inference”

Research Article Open Access Can We Stop the Backtest Yet? Anytime-Valid Promotion Tests for Adaptive Financial Research Agents
Eric Benhamou, Benhamou E, Jean-Jacques Ohana, Ohana J, Beatrice Guez, Guez B, Thomas Jacquot, Jacquot T, Ethan Setrouk, Setrouk E, Chamyl Saadi, Saadi C
Proceedings of the International Conference on Open Finance (ICOF 2026) 2026 https://doi.org/10.36287/setsci.25.3.001

Adaptive research systems can generate, discard, revise, and monitor trading rules faster than their selection history can be audited. We ask when such a system may promote a frozen rule to governed forward evaluation. The proposed protocol assigns each candid…

Research Article Open Access Open and Auditable Drawdown Control: An Exit-Reserve Shield for Learned Portfolios
Eric Benhamou, Benhamou E, Jean-Jacques Ohana, Ohana J, Beatrice Guez, Guez B, Thomas Jacquot, Jacquot T, Ethan Setrouk, Setrouk E, Chamyl Saadi, Saadi C
Proceedings of the International Conference on Open Finance (ICOF 2026) 2026 https://doi.org/10.36287/setsci.25.1.001

Open-finance systems increasingly compose portfolio models, data services, and execution interfaces supplied by different parties. This modularity is useful only if the executed wealth path can be checked independently of the model that proposed it. We study a…

Research Article Open Access Comparative Analysis of YOLOv5, YOLOv4, and SSD for Aircraft Detection in Airport Environments Using Remote Sensing Data
Hana Marie  Marek, Marek H, Kvetoslav J. Kostelnikova, Kostelnikova K, Melis Duhter, Duhter M, Akif Mert  Korol, Korol A, Hilal Kuzu, Kuzu H
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.4.018

Accurate and efficient detection of aircraft at airports is crucial for enhancing airport security, ensuring safe operations, and improving overall air traffic management. As airports grow in complexity and traffic density increases, automated object detection…

Research Article Open Access Execution Certificates for Open Finance: Auditable Data Availability, Latency, and Cost in Learned Lead–Lag Trading
Eric Benhamou, Benhamou E, Jean-Jacques Ohana, Ohana J, Beatrice Guez, Guez B, Thomas Jacquot, Jacquot T, Ethan Setrouk, Setrouk E, Chamyl Saadi, Saadi C
Proceedings of the International Conference on Open Finance (ICOF 2026) 2026 https://doi.org/10.36287/setsci.25.2.001

Open-finance interfaces make market data and trading services programmable, but an API response is not an executable signal. Economic information depends on data receipt, inference completion, and feasible order arrival. We propose an execution certificate: a …

Research Article Open Access Vejetasyonun Farklı Dönemlerinde Biçilen Macar Fiği Buğday Karışımının Besin Madde Kompozisyonu, Rumende Yıkılım Özellikleri, in vitroSindirilebilirlik ve Rölatif Yem Değerinin Belirlenmesi
İlhan Aksoy, Aksoy İ, Hüseyin Nursoy, Nursoy H
2nd International Symposium on Innovative Approaches in Scientific Studies 2018

Bu çalışma, sonbaharda ekilen ve kıraçta yetiştirilen %50 Macar fiği ve %50 buğday karışımının Haziran ortasından Temmuz sonuna kadar 7 kez 1 hafta arayla biçiminin besin madde içerikleri, in vitro kuru madde sindirilebilirlikleri, rölatif yem değeri (RYD) v…

Research Article Open Access Deep Learning Approaches for Lung Cancer Classification: A Comparative Study of Multiple Model Architectures
Ayşe Nur Durmaz, Durmaz A, Nihan Özbaltan, Özbaltan N
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.41.001

Early detection of lung cancer remains a critical challenge in medical imaging, where accurate classification between benign and malignant pulmonary nodules can significantly impact patient outcomes. This study presents a comprehensive comparative analysis of …

Review Open Access Seismic Data Analysis with Deep Learning Models: Methods, Applications, and Future Perspectives
Betül Ağaoğlu, Ağaoğlu B, İman Askerzade, Askerzade İ, Gazi Erkan Bostancı, Bostancı G, İhsan Tolga Medeni, Medeni İ
6th International Symposium on Innovations in Scientific Areas 2024 https://doi.org/10.36287/setsci.18.1.00120

Seismic data is a critical source for examining and understanding subsurface structures. It is used in various fields such as oil exploration, geological research, mining, underground infrastructure planning, environmental monitoring, and conservation. The ana…

Research Article Open Access Operative-predictive control of a reactor plant based on fuzzy models
Malika Doshanova, Doshanova M, Ortiq Ruzibayev, Ruzibayev O, Sherzod Sabirov, Sabirov S, Oybek Begimov, Begimov O
Proceeding of the Cognitive Models and Artificial Intelligence Conference 2024 https://doi.org/10.36287/setsci.17.1.0034

This article discusses an algorithm for fuzzy control of the technological mode of a reactor unit using fuzzy production models of logical inference and fuzzified measurement information from the control object, discusses the methodology of a computational exp…

Research Article Open Access Mesleki Eğitim Kursları İstihdam Oranlarını Etkiler mi?
Pınar Koç, Koç P
4th International Symposium on Innovative Approaches in Social, Human and Administrative Sciences 2019 https://doi.org/10.36287/setsci.4.8.011

 Aktif istihdam politikaları kapsamında İş ve İşçi Bulma Kurumu tarafından mesleki eğitim kursları verilmekte, istihdam oranlarının artırılması ve işgücü piyasalarının personel ihtiyacının karşılanması hedeflenmektedir.  Bu bağlamda bu çalışmada İBBS düzey 2 k…

Research Article Open Access Classification of Induction Motors by Fault Type with bidirectional Long-Short Term Memory Method
Ahmet Ali Süzen, Süzen A, Kıyas Kayaalp, Kayaalp K
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.074

It is important to determine the initial level of failures of induction motors used in many industrial applications. The sudden stops of the system can be prevented with the pre-detection of the fault. The experiment mechanism was established to detect mechani…

Research Article Open Access Statistical precision of Malmquist Productivity Index and DEA: A bootstrap application to OECD healthcare
Serpil Aydın, Aydın S
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.125

Data Envelopment Analysis (DEA) is a non-parametric mathematical programming that uses multi inputs to produce multi outputs. It is investigated whether the decision making unit is effective or not. However, it has been debated for years that the results obtai…

Research Article Open Access Kompleks Değerli Yapay Sinir Ağları ile Kardiotokogram Verisinde Morfolojik Örüntü Sınıflandırma
Eda  Çapa Kızıltaş  , Çapa Kızıltaş   E, Ayşenur  Uzun  , Uzun   A, Ersen  Yılmaz  , Yılmaz   E
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

Bu çalışmada UCI Makine Öğrenmesi havuzundan alınan kardiotokogram verisinde morfolojik örüntü sınıflandırması yapılmıştır. Sınıflandırıcı olarak kompleks değerli yapay sinir ağları kullanılmıştır. Sınıflandırıcının performansı 10-katlı çapraz doğrulama yaklaş…

Research Article Open Access A Simulation Study on Dependency Structure of Order Statistics
Ferhan Baş Kaman, Baş Kaman F, Hülya Olmuş, Olmuş H
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

In this study, dependency structure of order statistics which are widely used in statistical hypothesis, prediction problems, statistical process controls, reliability, risk management and many applied areas have been investigated with copulas. Dependency rela…

Research Article Open Access Structured Deep Learning Supported with Point Cloud for 3D Human Pose Estimation
Erdal Özbay, Özbay E, Ahmet Çınar, Çınar A, Zafer Güler, Güler Z
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

In this paper, a structural-output is obtained to estimate 3D human pose using 3D human point cloud and monocular images. The Neural Network takes a human image and 3D pose as inputs and gives outputs a score value. Conditional Random Field (CRF) approach is u…

Research Contributions (2019+)Peer reviewed by at least two reviewers
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