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A Review of Supervised Classification based on Contrast Patterns: Applications, Trends, and Challenges
2020
Journal of Grid Computing
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Based on our review, we present a taxonomy of the existing application domains of CP-based supervised classification, and a scientometric study. ...
Supervised classification based on Contrast Patterns (CP) is a trending topic in the pattern recognition literature, partly because it contains an important family of both understandable and accurate classifiers ...
In Section 3, we present the review of CP-based classification for real-world applications. In Section 4, we present the main trends and challenges associated with CP-based supervised classification. ...
doi:10.1007/s10723-020-09526-y
pmid:33041735
pmcid:PMC7532948
fatcat:ndtkih2rxzehbn7ax5ha2k3sga
Trends, Applications, and Challenges in Human Attention Modelling
[article]
2024
arXiv
pre-print
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2024 pre-print arXiv:2402.18673v1 fatcat:dyzdiiynergbpo4ftfkrvfuucm
This survey offers a reasoned overview of recent efforts to integrate human attention mechanisms into contemporary deep learning models and discusses future research directions and challenges. ...
video processing, vision-and-language applications, and language modelling. ...
Acknowledgments This work was partially supported by the PNRR project Italian Strengthening of Esfri RI Resilience (ITSERR) funded by the European Union -NextGenerationEU (CUP: B53C22001770006). ...
arXiv:2402.18673v2
fatcat:jjuufrcp25b5tku2mrn7imfbk4
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends
[article]
2024
arXiv
pre-print
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, applications, challenges, and future trends. ...
In today's digital age, Convolutional Neural Networks (CNNs), a subset of Deep Learning (DL), are widely used for various computer vision tasks such as image classification, object detection, and image ...
ACKNOWLEDGEMENTS This work was partially supported by the NYUAD Center for Artificial Intelligence and Robotics (CAIR), funded by Tamkeen under the NYUAD Research Institute Award CG010. ...
arXiv:2402.15490v2
fatcat:lxbsxo3teffixcwel5oyqipcsa
Revisiting Evolutionary Fuzzy Systems: Taxonomy, applications, new trends and challenges
2015
Knowledge-Based Systems
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We will present a discussion on the most recent and difficult Data Mining tasks to be addressed, and which are the latest trends in the development of Evolutionary Fuzzy Systems. ...
In accordance with the former, a wide number of applications have been also taken advantage of these types of systems. ...
In this section, we will present a discussion on the new trends and challenges for EFSs. ...
doi:10.1016/j.knosys.2015.01.013
fatcat:oghazlp2gbhibbenxsf6gm6fzq
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions
[article]
2023
arXiv
pre-print
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2022 pre-print arXiv:2208.03392v3 fatcat:76bzj2awpvdj5aqgfugvss4yfiOther Versions
A primary focus of our study rests on medical applications, where we underscore the weighty burden of global cancer and illuminate the potency of FL in engendering computer-aided diagnosis tools that address ...
With the advent of the IoT, AI and ML/DL algorithms, the landscape of data-driven medical applications has emerged as a promising avenue for designing robust and scalable diagnostic and prognostic models ...
Ref [33] • Provides a systematic literature review on the FL and its applicability for confidential healthcare datasets. ...
arXiv:2208.03392v4
fatcat:xdgrh2lgyjfsfc5q5l7suuu4ye
Retrieval of high-dimensional visual data: current state, trends and challenges ahead
2013
Multimedia tools and applications
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This article systematically reviews current techniques in various fields of 3D and 4D visual information retrieval and analyses the currently dominating application areas. ...
as a basis for designing new applications. ...
A specific review on rank, score and probability-based fusion techniques by Donald and Smeaton [39] compares the performance of various techniques on TRECVID collections. ...
doi:10.1007/s11042-012-1327-2
fatcat:nmhj5uwedbcedpzelg2ptqkqce
Multiple Object Tracking in Robotic Applications: Trends and Challenges
2022
Applied Sciences
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This paper aims to survey the recent development in this area and present the latest trends that tackle the challenges of multiple object tracking, such as heavy occlusion, dynamic background, and illumination ...
Based on our analysis, deep learning has introduced significant value to the MOT techniques in recent research, resulting in high accuracy while maintaining real-time processing. ...
Conclusions This paper aims to review the current trends and challenges related to the MOT for autonomous robotics applications. ...
doi:10.3390/app12199408
fatcat:cbv3s7y3ljeqfprz5kooboafg4
A Survey on IoT Smart Healthcare: Emerging Technologies, Applications, Challenges, and Future Trends
[article]
2021
arXiv
pre-print
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In this paper, the latest studies, proposed techniques, and the current solutions of smart healthcare systems are elaborated in the context of emerging technologies, applications and challenges of these ...
The internet of things (IoT) refers to a framework of interrelated, web associated objects that can gather and move information over a remote network without human interference. ...
a table at the end of this paper. [12] 2019• An extended review of IoT-based applications and services in smart healthcare systems is presented. ...
arXiv:2109.02042v1
fatcat:fykb6vhm3jdipo35pfgp7k6joy
A Study of the Recent Trends of Immunology: Key Challenges, Domains, Applications, Datasets, and Future Directions
2021
Sensors
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The core part of this study is focused on exploring the most common classifications of health diseases, immunology, and its key subdomains. ...
The later part of the study presents a statistical analysis of the contributions in AI in the different domains of immunology and an in-depth review of the machine learning and deep learning methodologies ...
DonHee Lee et al. [20] 2021 Reviews the current state of artificial intelligence [AI]-based technology applications and their impact on the healthcare industry, the details of those opportunities and challenges ...
doi:10.3390/s21237786
pmid:34883787
fatcat:s4jmnsp2unacpbscbmvphgmf6m
The rise of machine learning for detection and classification of malware: Research developments, trends and challenges
2020
Journal of Network and Computer Applications
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the challenges and limitations of traditional machine learning and (3) it analyzes recent trends and developments in the field with special emphasis on deep learning approaches. ...
Current state-of-the-art research focus on the development and application of machine learning techniques for malware detection due to its ability to keep pace with malware evolution. ...
This research article has received a grant (2019 call) from the University of Lleida Language Institute to review the English. ...
doi:10.1016/j.jnca.2019.102526
fatcat:3bf6afjqpnb53eoeghfxjeaus4
Audio-Based Music Structure Analysis: Current Trends, Open Challenges, and Applications
2020
Transactions of the International Society for Music Information Retrieval
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We review the latest breakthroughs on this topic and discuss the challenges that may arise when applying these techniques in real-world applications. ...
In reviewing the state of the art and discussing the current challenges on this timely topic, we highlight the subjectivity, ambiguity, and hierarchical nature of musical structure as essential factors ...
current trends and challenges with a special attention on subjectivity, ambiguity, and hierarchy; and in Section 4 we review the potential applications that MSA could enhance and/or inspire. ...
doi:10.5334/tismir.54
fatcat:r5ha7tgjfrdmffmhwld4o7iyve
Ten Years of Lateral Flow Immunoassay Technique Applications: Trends, Challenges and Future Perspectives
2021
Sensors
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This review aims to provide readers with a 10-years overview of applications, outlining the trends for the main application fields and the relative compounded annual growth rates. ...
Moreover, future perspectives and challenges are discussed. ...
modification in using a microarray pattern on the membrane instead of the lines pattern, and to the more complex readability of the results that may cause misleading results interpretation. ...
doi:10.3390/s21155185
pmid:34372422
pmcid:PMC8348896
fatcat:ary2qm36hbbpfdoye7qqoyd22y
A survey on data analysis on large-Scale wireless networks: online stream processing, trends, and challenges
2020
Journal of Internet Services and Applications
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We present the primary methods for sampling, data collection, and monitoring of wireless networks and we characterize knowledge extraction as a machine learning problem on big data stream processing. ...
We address challenges and present research projects in wireless network monitoring and stream processing. ...
Acknowledgements We acknowledge colleagues of the Universidade Federal Fluminense (UFF), Samsung R&D Institute, and Universidade Federal de Juíz de Fora (UFJF) for their incentives and suggestions. ...
doi:10.1186/s13174-020-00127-2
fatcat:kpx2fyxxkreevga6r22nqdj6rq
Contrast Pattern Mining: A Survey
[article]
2022
arXiv
pre-print
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Finally, we conclude our survey with a discussion of the challenges and opportunities in this field. ...
Contrast pattern mining (CPM) is an important and popular subfield of data mining. ...
Decision Tree-based Algorithms A decision tree is an algorithm that can be used to solve classification problems. It is also a kind of supervised learning. ...
arXiv:2209.13556v1
fatcat:g6gghgxdurhsrfrfwmklgczidy
A Literature Review of Literature Reviews in Pattern Analysis and Machine Intelligence
[article]
2024
arXiv
pre-print
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2024 pre-print arXiv:2402.12928v3 fatcat:qcktv4btmjg6vaakyhvvkzhzoiOther Versions
Third, we briefly provide a subjective evaluation of representative PAMI reviews and introduce a paper structure-based typology of literature reviews. ...
Second, based on these indicators, the study presents comparative analyses of representative reviews, unveiling the characteristics of publications across various fields, periods, and journals. ...
In this type of review, each section or subsection focuses on a specific challenge or task and centers the discussion on how to address that challenge. ...
arXiv:2402.12928v4
fatcat:jkfsobmenrdpnf2dtneikgcuym
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