Results 61 to 70 of about 7,785 (183)

Machine Learning Models for Cultural Heritage Image Classification: Comparison Based on Attribute Selection

Information, 2019
Image classification is one of the most important tasks in the digital era. In terms of cultural heritage, it is important to develop classification methods that obtain good accuracy, but also are less computationally intensive, as image classification ...
Radmila Janković
doaj   +1 more source

A Context‐Aware Decision Support Framework for Scientific Experiment Configuration

Software: Practice and Experience, Volume 56, Issue 9, Page 1100-1119, September 2026.
ABSTRACT Introduction Defining an experimental configuration is a complex decision problem for early‐stage researchers, who must map goals, constraints, and requirements onto datasets, algorithms, and parameter settings that directly affect experimental outcomes.
Pouriya Miri, Vlado Stankovski, Kristina Veljković, Petar Kochovski   +3 more
wiley   +1 more source

Machine Learning in Proof General: Interfacing Interfaces [PDF]

Electronic Proceedings in Theoretical Computer Science, 2013
We present ML4PG - a machine learning extension for Proof General. It allows users to gather proof statistics related to shapes of goals, sequences of applied tactics, and proof tree structures from the libraries of interactive higher-order proofs ...
Ekaterina Komendantskaya, Jónathan Heras, Gudmund Grov   +2 more
doaj   +1 more source

Survey of Gastrointestinal Parasites of Farmed Pigs in Ghana

Veterinary Medicine and Science, Volume 12, Issue 5, September 2026.
Survey of Gastrointestinal Parasites of Farmed Pigs in Ghana Gastrointestinal parasites were common in pigs sampled from Kpone Katamanso Municipality, Ghana, with an overall prevalence of 67.6%. Complementary formol–ether concentration, modified McMaster, and modified Ziehl–Neelsen techniques improved parasite detection, while polymerase chain reaction
Antoinette V. Keleve, Sylvia Afriyie Squire, Doreen Dela Owusu‐Ntumy, Dennis Adusei, Linda Ama Owusuaa Amoah   +4 more
wiley   +1 more source

Bias‐Triggered Conductivity Relaxation (BCR): A Unique Tool to Simultaneously Investigate Thermodynamics, Kinetics, and Electrostatic Effects of Oxygen Reactions in MIEC Thin Films

Advanced Materials, Volume 38, Issue 43, 3 August 2026.
This work develops bias‐triggered conductivity relaxation as a novel technique to study oxygen reactions in mixed ionic‐electronic conducting thin films by integrating electrochemical titration and electrical conductivity relaxation to achieve synchronous multi‐parameter characterization, providing simultaneous electronic, ionic, and extraordinarily ...
Alexander Stangl, Alexander Schmid, Adeel Riaz, Jürgen Fleig, Arnaud Badel   +4 more
wiley   +1 more source

Veri Madenciliği Teknikleri Kullanılarak Ortaokul Öğrencilerinin Sosyal Ağ Kullanım Analizi: Kocaeli İli Örneği

Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2015
Günümüzde sosyal ağ kullanımı oldukça artmıştır. Bu çalışmada Kocaeli İlinde yer alan Ulusal Egemenlik Ortaokulu öğrencileri üzerinde anket uygulaması gerçekleştirilmiş, toplanan anket sonuçları veri madenciliği teknikleri kullanılarak analiz edilmiştir.
Meltem Kurt Pehlivanoğlu, Nevcihan Duru
doaj  

Decision Tree to Guide Chronic Kidney Disease Patients at Incipient Stage

Applied Medical Informatics, 2023
Background: The etiologies of kidney disease are sequential and interlinked. They are known as disease markers. The Decision Tree representing initial symptoms needs to be popularized to seek prophylactic measures and educate the community health workers.
Krupanidhi SREERAMA
doaj  

ATF4, ZIK1, and PNMA3 Transcriptomic Signatures Predict Chemoradiotherapy Response in Cervical Cancer

Cancer Medicine, Volume 15, Issue 8, August 2026.
ABSTRACT Background Cervical cancer (CC) is a main malignancy affecting women globally, with a high mortality rate. Chemoradiotherapy resistance is a significant factor in determining treatment outcomes, and prognostic biomarkers are essential for the appropriate selection of therapeutic strategies.
Angelo Borges de Melo Neto, Fábio Ribeiro Queiroz, Carolina Pereira de Souza Melo, Bruna Custódio Dias Duarte, Jorge Gomes Goulart Ferreira, Izabela Ferreira Gontijo de Amorim, Laurence Rodrigues do Amaral, Pedro Luiz Lima Bertarini, Telma Maria Rossi de Figueiredo Franco, Andréa Teixeira de Carvalho, Olindo Assis Martins‐Filho, Wander de Jesus Jeremias, Letícia da Conceição Braga, Paulo Guilherme de Oliveira Salles, Matheus de Souza Gomes   +14 more
wiley   +1 more source

Enhancing Classification Performance on Imbalanced Datasets Through Complexity‐Guided Oversampling With SMOTE

Expert Systems, Volume 43, Issue 8, August 2026.
ABSTRACT Improving classification performance on imbalanced datasets remains a challenging problem in machine learning. Synthetic oversampling techniques such as SMOTE are widely used to address class imbalance; however, their random interpolation strategy often ignores structural data properties, which may affect classifier generalisation.
Jose L. Morillo‐Salas, Veronica Bolón‐Canedo, Laura Morán‐Fernández, Amparo Alonso‐Betanzos   +3 more
wiley   +1 more source

DPWeka: Achieving Differential Privacy in WEKA

2017 IEEE Symposium on Privacy-Aware Computing (PAC), 2017
In this paper, we present DPWeka, a differentially private prototype based on a widely used data mining software WEKA, for practical data analysis. DPWeka includes a suite of differential privacy preserving computation blocks which support a variety of data analysis tasks including test statistics calculation, regression analysis, and interactive ...
Srinidhi Katla, Depeng Xu 0001, Yongkai Wu, Qiuping Pan, Xintao Wu   +4 more
openaire   +4 more sources