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Publication search results
found 25 matches
- 2022
- Khedija Arour, Rim Dridi:
Contextual Recommender Systems in Business from Models to Experiments. Machine Learning and Data Analytics for Solving Business Problems 2022: 115-140 - Waad Bouaguel, Taghrid Al Silimani:
Identification of Credit Risks Using Cluster Analysis and Behavioural Scoring During the COVID-19 Pandemic. Machine Learning and Data Analytics for Solving Business Problems 2022: 41-54 - Frank Eichinger
, Moritz Mayer:
Predicting Salaries with Random-Forest Regression. Machine Learning and Data Analytics for Solving Business Problems 2022: 1-21 - Maha Fraj
, Mohamed Aymen Ben HajKacem, Nadia Essoussi:
An Overview of Multi-View Methods for Text Clustering. Machine Learning and Data Analytics for Solving Business Problems 2022: 141-164 - Siwar Gorrab, Fahmi Ben Rejab, Kaouther Nouira:
Real-Time K-Prototypes for Incremental Attribute Learning Using Feature Selection. Machine Learning and Data Analytics for Solving Business Problems 2022: 165-187 - R. Jothi, K. Muthukumaran:
Telecom Customer Segmentation Using Deep Embedded Clustering Algorithm. Machine Learning and Data Analytics for Solving Business Problems 2022: 75-88 - Taha M. Mohamed, Abdulaziz Alharbi, Ibrahim Alhassan, Sherif A. Kholeif:
Applications of Industry 4.0 on Saudi Supply Chain Management: Technologies, Opportunities, and Challenges. Machine Learning and Data Analytics for Solving Business Problems 2022: 189-204 - Chiheb-Eddine Ben Ncir, Bader A. Alyoubi, Roaa Alrazyeg:
Data-Driven Analysis of Microfinance and Social Loans Before and During the COVID-19 Pandemic Using Exploratory Analysis and Decision Tree Classifiers. Machine Learning and Data Analytics for Solving Business Problems 2022: 23-40 - Sonia Ouni, Karim Kamoun, Mohammad Alattas:
Semantic Image Quality Assessment Using Conventional Neural Network for E-Commerce Catalogue Management. Machine Learning and Data Analytics for Solving Business Problems 2022: 89-113 - Chibuzor Udokwu, Patrick Brandtner, Farzaneh Darbanian, Taha Falatouri:
Improving Sales Prediction for Point-of-Sale Retail Using Machine Learning and Clustering. Machine Learning and Data Analytics for Solving Business Problems 2022: 55-73 - Bader A. Alyoubi, Chiheb-Eddine Ben Ncir, Ibraheem Mubarak Alharbi, Anis Jarboui:
Machine Learning and Data Analytics for Solving Business Problems: Methods, Applications, and Case Studies. Unsupervised and Semi-Supervised Learning, Springer 2022, ISBN 978-3-031-18483-3 [contents] - 2020
- Arindam Chaudhuri:
Deep Learning Models for Face Recognition: A Comparative Analysis. Deep Biometrics 2020: 99-140 - Wael Elloumi, Aladine Chetouani, Tarek Ben Charrada, Emna Fourati:
Anti-Spoofing in Face Recognition: Deep Learning and Image Quality Assessment-Based Approaches. Deep Biometrics 2020: 51-69 - Hiren J. Galiyawala, Mehul S. Raval, Anand Laddha:
Person Retrieval in Surveillance Videos Using Deep Soft Biometrics. Deep Biometrics 2020: 191-214 - Shan Lin, Chang-Tsun Li
:
Person Re-identification with Soft Biometrics Through Deep Learning. Deep Biometrics 2020: 21-36 - Zhi Lin, Weizhi Meng
, Wenjuan Li, Duncan S. Wong:
Developing Cloud-Based Intelligent Touch Behavioral Authentication on Mobile Phones. Deep Biometrics 2020: 141-159 - Rumaisah Munir, Rizwan Ahmed Khan
:
Deep Spectral Biometrics: Overview and Open Issues. Deep Biometrics 2020: 215-243 - Luís A. M. Pereira, Allan Pinto
, Fernanda A. Andaló, Alexandre M. Ferreira, Bahram Lavi, Aurea Soriano-Vargas
, Marcos V. M. Cirne, Anderson Rocha:
The Rise of Data-Driven Models in Presentation Attack Detection. Deep Biometrics 2020: 289-311 - Stefano Savian, Mehdi Elahi, Tammam Tillo:
Optical Flow Estimation with Deep Learning, a Survey on Recent Advances. Deep Biometrics 2020: 257-287 - Natalya Selitskaya, Stanislaw Sielicki
, Livia Jakaite, Vitaly Schetinin, F. Evans, Marc Conrad, Paul Sant:
Deep Learning for Biometric Face Recognition: Experimental Study on Benchmark Data Sets. Deep Biometrics 2020: 71-97 - Dejan Stepec, Ziga Emersic, Peter Peer, Vitomir Struc:
Constellation-Based Deep Ear Recognition. Deep Biometrics 2020: 161-190 - Gary Storey, Ahmed Bouridane, Richard Jiang
, Chang-Tsun Li
:
Atypical Facial Landmark Localisation with Stacked Hourglass Networks: A Study on 3D Facial Modelling for Medical Diagnosis. Deep Biometrics 2020: 37-49 - Haoyi Wang, Victor Sanchez, Wanli Ouyang, Chang-Tsun Li
:
Using Age Information as a Soft Biometric Trait for Face Image Analysis. Deep Biometrics 2020: 1-20 - Bing Xu, Tobechukwu Agbele, Richard Jiang:
Biometric Blockchain: A Secure Solution for Intelligent Vehicle Data Sharing. Deep Biometrics 2020: 245-256 - Richard Jiang
, Chang-Tsun Li
, Danny Crookes, Weizhi Meng
, Christophe Rosenberger:
Deep Biometrics. Unsupervised and Semi-Supervised Learning, Springer International Publishing 2020, ISBN 978-3-030-32583-1 [contents]
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