Export Citations
Save this search
Please login to be able to save your searches and receive alerts for new content matching your search criteria.
- surveyJuly 2024JUST ACCEPTED
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review
Machine learning plays a role in many deployed decision systems, often in ways that are difficult or impossible to understand by human stakeholders. Explaining, in a human-understandable way, the relationship between the input and output of machine ...
- surveyJuly 2024
AI-Based Affective Music Generation Systems: A Review of Methods and Challenges
ACM Computing Surveys (CSUR), Volume 56, Issue 11Article No.: 287, Pages 1–34https://doi.org/10.1145/3673227Music is a powerful medium for altering the emotional state of the listener. In recent years, with significant advancements in computing capabilities, artificial intelligence-based (AI-based) approaches have become popular for creating affective music ...
- tutorialJuly 2024
An Introduction to the Compute Express Link (CXL) Interconnect
ACM Computing Surveys (CSUR), Volume 56, Issue 11Article No.: 290, Pages 1–37https://doi.org/10.1145/3669900The Compute Express Link (CXL) is an open industry-standard interconnect between processors and devices such as accelerators, memory buffers, smart network interfaces, persistent memory, and solid-state drives. CXL offers coherency and memory semantics ...
- surveyJune 2024
A Survey on Malware Detection with Graph Representation Learning
ACM Computing Surveys (CSUR), Volume 56, Issue 11Article No.: 278, Pages 1–36https://doi.org/10.1145/3664649Malware detection has become a major concern due to the increasing number and complexity of malware. Traditional detection methods based on signatures and heuristics are used for malware detection, but unfortunately, they suffer from poor generalization ...
- surveyJune 2024
Efficient Automation of Neural Network Design: A Survey on Differentiable Neural Architecture Search
ACM Computing Surveys (CSUR), Volume 56, Issue 11Article No.: 270, Pages 1–36https://doi.org/10.1145/3665138In the past few years, Differentiable Neural Architecture Search (DNAS) rapidly imposed itself as the trending approach to automate the discovery of deep neural network architectures. This rise is mainly due to the popularity of DARTS (Differentiable ...
-
- surveyJune 2024
Synthetic Data for Deep Learning in Computer Vision & Medical Imaging: A Means to Reduce Data Bias
ACM Computing Surveys (CSUR), Volume 56, Issue 11Article No.: 271, Pages 1–37https://doi.org/10.1145/3663759Deep-learning (DL) performs well in computer-vision and medical-imaging automated decision-making applications. A bottleneck of DL stems from the large amount of labelled data required to train accurate models that generalise well. Data scarcity and ...
- surveyJune 2024
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making
ACM Computing Surveys (CSUR), Volume 56, Issue 11Article No.: 272, Pages 1–36https://doi.org/10.1145/3663366In the field of Sequential Decision Making (SDM), two paradigms have historically vied for supremacy: Automated Planning (AP) and Reinforcement Learning (RL). In the spirit of reconciliation, this article reviews AP, RL and hybrid methods (e.g., novel ...
- surveyJune 2024
A Survey on Privacy of Personal and Non-Personal Data in B5G/6G Networks
ACM Computing Surveys (CSUR), Volume 56, Issue 10Article No.: 266, Pages 1–37https://doi.org/10.1145/3662179The upcoming Beyond 5G (B5G) and 6G networks are expected to provide enhanced capabilities such as ultra-high data rates, dense connectivity, and high scalability. It opens many possibilities for a new generation of services driven by Artificial ...
- surveyJune 2024
A Review on the emerging technology of TinyML
ACM Computing Surveys (CSUR), Volume 56, Issue 10Article No.: 259, Pages 1–37https://doi.org/10.1145/3661820Tiny Machine Learning (TinyML) is an emerging technology proposed by the scientific community for developing autonomous and secure devices that can gather, process, and provide results without transferring data to external entities. The technology aims to ...
- surveyJune 2024
A Challenge-based Survey of E-recruitment Recommendation Systems
ACM Computing Surveys (CSUR), Volume 56, Issue 10Article No.: 252, Pages 1–33https://doi.org/10.1145/3659942E-recruitment recommendation systems recommend jobs to job seekers and job seekers to recruiters. The recommendations are generated based on the suitability of job seekers for positions and on job seekers’ and recruiters’ preferences. Therefore, e-...
- surveyJune 2024
Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey
ACM Computing Surveys (CSUR), Volume 56, Issue 10Article No.: 262, Pages 1–41https://doi.org/10.1145/3659205The ultra-low latency requirements of 5G/6G applications and privacy constraints call for distributed machine learning systems to be deployed at the edge. With its simple yet effective approach, federated learning (FL) is a natural solution for massive ...
- surveyJune 2024
Blockchained Federated Learning for Internet of Things: A Comprehensive Survey
ACM Computing Surveys (CSUR), Volume 56, Issue 10Article No.: 258, Pages 1–37https://doi.org/10.1145/3659099The demand for intelligent industries and smart services based on big data is rising rapidly with the increasing digitization and intelligence of the modern world. This survey comprehensively reviews Blockchained Federated Learning (BlockFL) that joins ...
- surveyJune 2024
Maintenance Operations on Cloud, Edge, and IoT Environments: Taxonomy, Survey, and Research Challenges
ACM Computing Surveys (CSUR), Volume 56, Issue 10Article No.: 256, Pages 1–38https://doi.org/10.1145/3659097The emergence of the Internet of Things (IoT) introduced new classes of applications whose latency and bandwidth requirements could not be satisfied by the traditional Cloud Computing model. Consequently, the Internet Technology community promoted the ...
- surveyJune 2024
A Survey on the Applications of Semi-supervised Learning to Cyber-security
ACM Computing Surveys (CSUR), Volume 56, Issue 10Article No.: 253, Pages 1–41https://doi.org/10.1145/3657647Machine Learning’s widespread application owes to its ability to develop accurate and scalable models. In cyber-security, where labeled data is scarce, Semi-Supervised Learning (SSL) emerges as a potential solution. SSL excels at tasks challenging ...
- surveyJune 2024
From Detection to Application: Recent Advances in Understanding Scientific Tables and Figures
ACM Computing Surveys (CSUR), Volume 56, Issue 10Article No.: 261, Pages 1–39https://doi.org/10.1145/3657285Tables and figures are usually used to present information in a structured and visual way in scientific documents. Understanding the tables and figures in scientific documents is significant for a series of downstream tasks, such as academic search, ...
- surveyJune 2024
Domain Adaptation and Generalization of Functional Medical Data: A Systematic Survey of Brain Data
ACM Computing Surveys (CSUR), Volume 56, Issue 10Article No.: 255, Pages 1–39https://doi.org/10.1145/3654664Despite the excellent capabilities of machine learning algorithms, their performance deteriorates when the distribution of test data differs from the distribution of training data. In medical data research, this problem is exacerbated by its connection to ...
- research-articleMay 2024JUST ACCEPTED
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities
- Andrea Tocchetti,
- Lorenzo Corti,
- Agathe Balayn,
- Mireia Yurrita,
- Philip Lippmann,
- Marco Brambilla,
- Jie Yang
Despite the impressive performance of Artificial Intelligence (AI) systems, their robustness remains elusive and constitutes a key issue that impedes large-scale adoption. Besides, robustness is interpreted differently across domains and contexts of AI. ...
- surveyMay 2024JUST ACCEPTED
An Overview of Privacy-Enhancing Technologies in Biometric Recognition
Privacy-enhancing technologies are technologies that implement fundamental data protection principles. With respect to biometric recognition, different types of privacy-enhancing technologies have been introduced for protecting stored biometric data which ...
- surveyMay 2024
Integration of Sensing, Communication, and Computing for Metaverse: A Survey
ACM Computing Surveys (CSUR), Volume 56, Issue 10Article No.: 245, Pages 1–38https://doi.org/10.1145/3659946The metaverse is an Artificial Intelligence (AI)-generated virtual world, in which people can game, work, learn, and socialize. The realization of metaverse not only requires a large amount of computing resources to realize the rendering of the virtual ...
- surveyMay 2024
A Systematic Survey of Deep Learning-Based Single-Image Super-Resolution
ACM Computing Surveys (CSUR), Volume 56, Issue 10Article No.: 249, Pages 1–40https://doi.org/10.1145/3659100Single-image super-resolution (SISR) is an important task in image processing, which aims to enhance the resolution of imaging systems. Recently, SISR has made a huge leap and has achieved promising results with the help of deep learning (DL). In this ...