Search Results - binary ing learning with errors

Learning error-correcting representations for multi-class problems

Authors: Bautista Martín, Miguel Ángel

Contributors: University/Department: Universitat de Barcelona. Departament de Matemàtica Aplicada i Anàlisi

Thesis Advisors: Escalera Guerro, Sergio, Pujol Vila, Oriol

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Codis de correcció d'errors (Teoria de la informació), Códigos correctores de errores (Teoría de la información), Error-correcting codes (Information theory), Presa de decisions multicriteri, Toma de decisiones multicriterio, Multiple criteria decision making, Sistemes classificadors (Intel·ligència artificial), Sistemas clasificadores, Learning classifier systems, Algorismes genètics, Algoritmos genéticos, Genetic algorithms, Matrius (Matemàtica), Matrices (Matemáticas), Matrices, Ciències Experimentals i Matemàtiques

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/396124

UNMASKING CYBER THREATS - LEVERAGING MACHINE LEARNING TO DETECT PHISHING WEBSITES.

Authors: S., Sherine Kirubakaran, S. Stewart Kala, I.

Source: Cuestiones de Fisioterapia; 2025, Vol. 54 Issue 4, p488-502, 15p

Subject Terms: SOCIAL engineering (Fraud), CYBERTERRORISM, STATISTICAL learning, MACHINE learning, PHISHING

Deep-learning based multi-modal models for brain age, cognition and amyloid pathology prediction.

Authors: Wang, Chenxi Zhang, Weiwei Ni, Ming et al.

Source: Alzheimer's Research & Therapy; 5/31/2025, Vol. 17 Issue 1, p1-13, 13p

Subject Terms: PATTERN recognition systems, STANDARD deviations, MEDICAL sciences, ARTIFICIAL intelligence, ALZHEIMER'S disease

Combining psychometric and machine learning approaches to select items and score responses.

Authors: Gonzalez, Oscar

Source: Behaviormetrika; Jul2025, Vol. 52 Issue 2, p259-292, 34p

Subject Terms: PSYCHOMETRICS, MACHINE learning, MONTE Carlo method, LATENT variables, FEATURE selection, PSYCHOLOGICAL tests

Enhancing Heart Disease Diagnosis Using ECG Signal Reconstruction and Deep Transfer Learning Classification with Optional SVM Integration.

Authors: Ahmad, Mostafa Ahmed, Ali Hashim, Hasan et al.

Source: Diagnostics (2075-4418); Jun2025, Vol. 15 Issue 12, p1501, 25p

Subject Terms: HEART disease diagnosis, IMAGE recognition (Computer vision), SIGNAL reconstruction, DEEP learning, IMAGE processing

Improving Road Safety Through Machine Learning Based Severity Prediction.

Authors: A., Akil Chakravarthi M., Kamalesh S., Kanishka Devi et al.

Source: Cuestiones de Fisioterapia; 2025, Vol. 54 Issue 4, p890-902, 13p

Subject Terms: MACHINE learning, TRAFFIC safety, TRAFFIC accidents, TRAFFIC engineering, ROAD safety measures

FISM: harnessing deep learning and reinforcement learning for precision detection of microaneurysms and retinal exudates for early diabetic retinopathy diagnosis.

Authors: Rehman, Abbas Naijie, Gu Ojo, Stephen et al.

Source: BioData Mining; 10/30/2025, Vol. 18 Issue 1, p1-24, 24p

Subject Terms: DIABETIC retinopathy, DEEP learning, RETINAL diseases, IMAGE segmentation, SIGNAL detection, REINFORCEMENT learning, ANEURYSMS

Using Artificial Intelligence and Deep Learning Applications in Credit Risk Analysis.

Authors: Faris, Asmaa Elhachloufi, Mostafa

Source: Cuestiones de Fisioterapia; 2025, Vol. 54 Issue 4, p7104-7122, 19p

Subject Terms: CREDIT analysis, CREDIT risk, CREDIT risk management, ARTIFICIAL intelligence, CREDIT management

Improving cervical maturation degree classification accuracy using a multi-stage deep learning approach.

Authors: Motie, Parisa Ashkan, Ali Mohammad-Rahimi, Hossein et al.

Source: Imaging Science in Dentistry; Sep2025, Vol. 55 Issue 3, p290-301, 12p

Subject Terms: DEEP learning, CLASSIFICATION, CERVICAL vertebrae, MACHINE learning, AUTOMATION software, ORTHOPEDICS, COMPUTER-assisted image analysis (Medicine), OBJECT recognition (Computer vision)

AI-Driven Anomaly Detection in Smart Water Metering Systems Using Ensemble Learning.

Authors: Kanyama, Maria Nelago Bhunu Shava, Fungai Gamundani, Attlee Munyaradzi et al.

Source: Water (20734441); Jul2025, Vol. 17 Issue 13, p1933, 28p

Subject Terms: ENSEMBLE learning, MACHINE learning, RESAMPLING (Statistics), ARTIFICIAL intelligence, OUTLIER detection, WATER meters, WATER conservation, WATER management

Geographic Terms: WINDHOEK (Namibia), NAMIBIA

Factors, Prediction, Explainability, and Simulating University Dropout Through Machine Learning: A Systematic Review, 2012–2024.

Authors: Quimiz-Moreira, Mauricio Delgadillo, Rosa Parraga-Alava, Jorge et al.

Source: Computation; Aug2025, Vol. 13 Issue 8, p198, 47p

Subject Terms: COLLEGE dropouts, MACHINE learning, SCHOOL dropouts, PREDICTION models, COMPUTER simulation

Integrating multimodal cancer data using deep latent variable path modelling.

Authors: Ing, Alex Andrades, Alvaro Cosenza, Marco Raffaele et al.

Source: Nature Machine Intelligence; Jul2025, Vol. 7 Issue 7, p1053-1075, 23p

An Overview of Machine-Learning Methods for Soil Moisture Estimation.

Authors: Taheri, Mercedeh Bigdeli, Mostafa Imanian, Hanifeh et al.

Source: Water (20734441); Jun2025, Vol. 17 Issue 11, p1638, 35p

Subject Terms: SOIL moisture, ARTIFICIAL intelligence, SUSTAINABLE agriculture, REMOTE sensing, HYDROLOGY

Predicting body weight through biometric measurements in growing hair sheep using data mining and machine learning algorithms.

Authors: Vázquez-Martínez, Ignacio Tırınk, Cem Salazar-Cuytun, Rosario et al.

Source: Tropical Animal Health & Production. Oct2023, Vol. 55 Issue 5, p1-10. 10p.

Mapping the Use of Artificial Intelligence–Based Image Analysis for Clinical Decision‐Making in Dentistry: A Scoping Review.

Authors: Chen, Wei Dhawan, Monisha Liu, Jonathan et al.

Source: Clinical & Experimental Dental Research; Dec2024, Vol. 10 Issue 6, p1-17, 17p

Robustness of Generalized Linear Mixed Models for Split-Plot Designs with Binary Data.

Alternate Title: Robustez de los Modelos lineales Mixtos Generalizados para Diseños Split-Plot con Datos Binarios. (Spanish)

Authors: Bono, Roser Atracón, Rafael Arnau, Jaume et al.

Source: Anales de Psicología; May-Sep2023, Vol. 39 Issue 2, p332-343, 12p

Subject Terms: FALSE positive error, RANDOM effects model, EMPIRICAL research, MONTE Carlo method, ERROR rates, DEPENDENT variables, SAMPLE size (Statistics)

The Effect of Concurrent Auditory Working Memory Task in Auditory Category Learning.

Authors: Wu, Jie Lu, Jianghong Che, Zixuan et al.

Source: Behavioral Sciences (2076-328X); Apr2025, Vol. 15 Issue 4, p440, 15p

Advances in Deep Learning for Head and Neck Cancer: Datasets and Applied Methods.

Authors: Majeed, Tabasum Assad, Assif

Source: ENT Updates; 2025, Vol. 15 Issue 1, p1-26, 26p

Subject Terms: MEDICAL care, HEAD & neck cancer, DISEASE risk factors, DEEP learning, ARTIFICIAL intelligence

Poststructuralism and Skill Learning for Fitness Instruction.

Authors: Markula, Pirkko

Source: Quest (00336297); Apr-Jun2023, Vol. 75 Issue 2, p167-183, 17p

Subject Terms: POSTSTRUCTURALISM, COACHING psychology, COMMUNITY centers, PHYSICAL education, RESEARCH skills, DANCE

People: FOUCAULT, Michel, 1926-1984, DELEUZE, Gilles, 1925-1995

Automatic detection of gastrointestinal system abnormalities using deep learning-based segmentation and classification methods.

Authors: Şener, Abdullah Ergen, Burhan

Source: Health Information Science & Systems; 5/21/2025, Vol. 13 Issue 1, p1-25, 25p