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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Melanoma Detection by Means of Multiple Instance Learning
Annabella Astorino, Antonio Fuduli, Pierangelo Veltri, et al.
Interdisciplinary Sciences Computational Life Sciences (2019) Vol. 12, Iss. 1, pp. 24-31
Closed Access | Times Cited: 61

Showing 26-50 of 61 citing articles:

SVM-Based Multiple Instance Classification via DC Optimization
Annabella Astorino, Antonio Fuduli, Giovanni Giallombardo, et al.
Algorithms (2019) Vol. 12, Iss. 12, pp. 249-249
Open Access | Times Cited: 12
Skin Cancer Detection Using Kernel Fuzzy C-Means and Improved Neural Network Optimization Algorithm
Huaping Jia, Junlong Zhao, Ali Mohammad norouzzadeh Gil Molk
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 11
A heuristic approach for multiple instance learning by linear separation
Antonio Fuduli, Manlio Gaudioso, Walaa Khalaf, et al.
Soft Computing (2022) Vol. 26, Iss. 7, pp. 3361-3368
Open Access | Times Cited: 7
Deep learning-based fully automated diagnosis of melanocytic lesions by using whole slide images
Yongyang Bao, Jiayi Zhang, Xingyu Zhao, et al.
Journal of Dermatological Treatment (2022) Vol. 33, Iss. 5, pp. 2571-2577
Closed Access | Times Cited: 7
Image Classification Techniques
Eugenio Vocaturo
Advances in medical diagnosis, treatment, and care (AMDTC) book series (2020), pp. 22-49
Closed Access | Times Cited: 11
Diagnosing of Dermoscopic Images using Machine Learning approaches for Melanoma Detection
Faiza, Syed Irfan Ullah, Abdus Salam, et al.
(2020), pp. 1-5
Closed Access | Times Cited: 10
Maximum-margin polyhedral separation for binary Multiple Instance Learning
Annabella Astorino, Matteo Avolio, Antonio Fuduli
EURO Journal on Computational Optimization (2023) Vol. 11, pp. 100070-100070
Open Access | Times Cited: 3
IDA-MIL: Classification of Glomerular with Spike-like Projections via Multiple Instance Learning with Instance-level Data Augmentation
Xi Wu, Yilin Chen, Xinyu Li, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 225, pp. 107106-107106
Closed Access | Times Cited: 5
A maximum-margin multisphere approach for binary Multiple Instance Learning
Annabella Astorino, Matteo Avolio, Antonio Fuduli
European Journal of Operational Research (2021) Vol. 299, Iss. 2, pp. 642-652
Closed Access | Times Cited: 6
Artificial intelligence-based skin cancer diagnosis
Abdülhamit Subaşı, Saqib Ahmed Qureshi
Elsevier eBooks (2023), pp. 183-205
Closed Access | Times Cited: 2
Comparative Analysis of Skin Cancer Detection Using Classification Algorithms
Dinesh Sharma, Vivek Parashar, Geetam Singh Tomar
(2023), pp. 531-539
Closed Access | Times Cited: 2
Bag-Based Feature-Class Correlation Analysis for Multi-Instance Learning Application
Mazniha Berahim, Noor Azah Samsudin, Aida Mustapha, et al.
PaperAsia (2024) Vol. 40, Iss. 1b, pp. 51-61
Open Access
Autonomous Data Augmentation and Melanoma Detection Using a Combination of Classical and Deep-Learning‏ Techniques
Vida Esmaeili, Mahmood MohasselFeghhi, Hadi Seyedarabi
(2024)
Closed Access
A pipeline methodology for melanoma detection using Developed design of the Archimedes optimizer
Zhilie Gao, Liang Li, Jian Song, et al.
Biomedical Signal Processing and Control (2024) Vol. 97, pp. 106732-106732
Closed Access
A comparative study of linear type multiple instance learning techniques for detecting COVID-19 by chest X-ray images
Matteo Avolio, Antonio Fuduli, Eugenio Vocaturo, et al.
Progress in Artificial Intelligence (2024)
Open Access
DC Optimization Models for Machine Learning
Annabella Astorino, Antonio Fuduli
Elsevier eBooks (2024)
Closed Access
Attention-effective multiple instance learning on weakly stem cell colony segmentation
Novanto Yudistira, Muthu Subash Kavitha, Jeny Rajan, et al.
Intelligent Systems with Applications (2023) Vol. 17, pp. 200187-200187
Open Access | Times Cited: 1
Design of a System for Melanoma Diagnosis Using Image Processing and Hybrid Optimization Techniques
V. Rajinikanth, Navid Razmjooy
Lecture notes in electrical engineering (2023), pp. 241-279
Closed Access | Times Cited: 1
Useful Features for Computer-Aided Diagnosis Systems for Melanoma Detection Using Dermoscopic Images
Eugenio Vocaturo, Ester Zumpano
Advances in data mining and database management book series (2020), pp. 48-71
Closed Access | Times Cited: 3
An Attention-based Weakly Supervised framework for Spitzoid Melanocytic Lesion Diagnosis in WSI
Rocío del Amor, Laëtitia Launet, Adrián Colomer, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 3
Diabetic Retinopathy Images Classification via Multiple Instance Learning
Eugenio Vocaturo, Ester Zumpano
(2021) Vol. 98, pp. 143-148
Closed Access | Times Cited: 3
Machine Learning Opportunities for Automatic Tongue Diagnosis Systems
Eugenio Vocaturo, Ester Zumpano
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2020), pp. 1498-1502
Closed Access | Times Cited: 2
Multiple Instance Learning approaches for Melanoma and Dysplastic Nevi images classification
Eugenio Vocaturo, Ester Zumpano
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (2020)
Closed Access | Times Cited: 2
Smart Apps for Risk Assessment of Skin Cancer
Eugenio Vocaturo, Ester Zumpano
(2020), pp. 699-704
Closed Access | Times Cited: 2
Automatic Detection of Dysplastic Nevi: A Multiple Instance Learning Solution.
Eugenio Vocaturo, Ester Zumpano
SEBD (2020), pp. 250-257
Closed Access | Times Cited: 1

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