Home »
Academic Articles & Research Papers
Showing 17 of 197 academic articles
Guansong Pang, Chunhua Shen, Longbing Cao, Anton Van Den Hengel • ACM Computing Surveys
(2021)
Anomaly detection, a.k.a. outlier detection or novelty detection, has been a lasting yet active research area in various research communities for several decades. There are still some unique problem complexities and challenges that require ...
OPENALEX
Open Access
DOI: https://doi.org/10.1145/3439950
Samira Pouyanfar, Saad B Sadiq, Yilin Yan, Haiman Tian et al. • ACM Computing Surveys
(2018)
The field of machine learning is witnessing its golden era as deep learning slowly becomes the leader in this domain. Deep learning uses multiple layers to represent the abstractions of data to build computational models. Some key enabler d...
OPENALEX
DOI: https://doi.org/10.1145/3234150
Ian Goodfellow, Yoshua Bengio, Aaron C. Courville • The MIT Press eBooks
(2016)
Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human c...
OPENALEX
DOI: https://doi.org/10.1016/b978-0-12-804291-5.00010-6
Simon J. Caton, Christian Stefan Haas • ACM Computing Surveys
(2023)
When Machine Learning technologies are used in contexts that affect citizens, companies as well as researchers need to be confident that there will not be any unexpected social implications, such as bias towards gender, ethnicity, and/or pe...
OPENALEX
cc-by
DOI: https://doi.org/10.1145/3616865
Pengfei Li, Yue Jia • Sensors
(2026)
Diameter at breast height (DBH) is a fundamental structural parameter for forest inventory and ecological analysis. However, field-based measurements (e.g., diameter tape surveys) are labor-intensive and inefficient for large-scale applicat...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s26092873
Ildar M. Ishkulov, Irik G. Fattakhov • Записки Горного института
(2025)
The problem of timely and accurate evaluation of well integrity is becoming increasingly relevant in the context of mature field development, high wellstream water cut, and a growing number of old wells. For production casing diagnostics, g...
DOAJ
Open Access (DOAJ)
Joost Verbraeken, Matthijs Wolting, Jonathan Katzy, Jeroen Kloppenburg et al. • ACM Computing Surveys
(2020)
The demand for artificial intelligence has grown significantly over the past decade, and this growth has been fueled by advances in machine learning techniques and the ability to leverage hardware acceleration. However, to increase the qual...
OPENALEX
Open Access
DOI: https://doi.org/10.1145/3377454
Dana Pessach, Erez Shmueli • ACM Computing Surveys
(2022)
An increasing number of decisions regarding the daily lives of human beings are being controlled by artificial intelligence and machine learning (ML) algorithms in spheres ranging from healthcare, transportation, and education to college ad...
OPENALEX
DOI: https://doi.org/10.1145/3494672
El‐Ghazali Talbi • ACM Computing Surveys
(2021)
During the past few years, research in applying machine learning (ML) to design efficient, effective, and robust metaheuristics has become increasingly popular. Many of those machine learning-supported metaheuristics have generated high-qua...
OPENALEX
Open Access
DOI: https://doi.org/10.1145/3459664
Fabrizio Sebastiani • ACM Computing Surveys
(2002)
The automated categorization (or classification) of texts into predefined categories has witnessed a booming interest in the last 10 years, due to the increased availability of documents in digital form and the ensuing need to organize them...
OPENALEX
Open Access
DOI: https://doi.org/10.1145/505282.505283
Thomas G. Dietterich • ACM Computing Surveys
(1995)
suggests a reasonable line of research: find algorithms that can search the hypothesis class better. Hence, there is been extensive research in applying second-order methods to fit neural networks and in conducting much more thorough search...
OPENALEX
Open Access
DOI: https://doi.org/10.1145/212094.212114
Christopher Barrie, Arun Frey • PLoS ONE
(2021)
Who goes to protests? To answer this question, existing research has relied either on retrospective surveys of populations or in-protest surveys of participants. Both techniques are prohibitively costly and face logistical and methodologica...
DOAJ
Open Access (DOAJ)
Evangeline Corcoran, Simon Denman, Grant Hamilton • Ecology and Evolution
(2021)
Abstract Drones and machine learning‐based automated detection methods are being used by ecologists to conduct wildlife surveys with increasing frequency. When traditional survey methods have been evaluated, a range of factors have been fou...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/ece3.7518
Alexandre Georgieff, Raphaela Hyee • OECD social employment and migration working papers
(2021)
Recent years have seen impressive advances in artificial intelligence (AI) and this has stoked renewed concern about the impact of technological progress on the labour market, including on worker displacement. This paper looks at the possib...
OPENALEX
DOI: https://doi.org/10.1787/c2c1d276-en
Nick Bostrom, Eliezer Yudkowsky • Cambridge University Press eBooks
(2014)
This chapter surveys some of the ethical challenges that may arise as one can create artificial intelligences (AI) of various kinds and degrees. Some challenges of machine ethics are much like many other challenges involved in designing mac...
OPENALEX
DOI: https://doi.org/10.1017/cbo9781139046855.020
Qian Zhang, Jie Lu B, Yaochu Jin • Complex & Intelligent Systems
(2020)
Abstract Recommender systems provide personalized service support to users by learning their previous behaviors and predicting their current preferences for particular products. Artificial intelligence (AI), particularly computational intel...
OPENALEX
cc-by
DOI: https://doi.org/10.1007/s40747-020-00212-w
Yiannis Kiouvrekis, Theodor Panagiotakopoulos • Computers
(2025)
Electromagnetic field (EMF) exposure mapping is increasingly important for ensuring compliance with safety regulations, supporting the deployment of next-generation wireless networks, and addressing public health concerns. While numerous su...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/computers14090373