Frontiers in Big Data | Machine Learning and Artificial Intelligence

Original Research

Published on 26 Aug 2021

Structural Compression of Convolutional Neural Networks with Applications in Interpretability

in Machine Learning and Artificial Intelligence

Reza Abbasi-Asl
Bin Yu

Frontiers in Big Data

doi 10.3389/fdata.2021.704182

5,075 views
10 citations

Editorial

Published on 12 Aug 2021

Editorial: Ethical Machine Learning and Artificial Intelligence

in Machine Learning and Artificial Intelligence

Novi Quadrianto
Björn W. Schuller
Finnian Rachel Lattimore

Frontiers in Big Data

doi 10.3389/fdata.2021.742589

3,135 views
2 citations

Editorial

Published on 06 Aug 2021

Editorial: Safe and Trustworthy Machine Learning

in Machine Learning and Artificial Intelligence

Bhavya Kailkhura
Pin-Yu Chen
Xue Lin
Bo Li

Frontiers in Big Data

doi 10.3389/fdata.2021.731605

3,186 views

Original Research

Published on 18 Jun 2021

Public Perception of the Fifth Generation of Cellular Networks (5G) on Social Media

in Machine Learning and Artificial Intelligence

Kia Dashtipour
William Taylor
Shuja Ansari
Mandar Gogate
Adnan Zahid
Yusuf Sambo
Amir Hussain
Qammer H. Abbasi
Muhammad Ali Imran

Frontiers in Big Data

doi 10.3389/fdata.2021.640868

5,469 views
5 citations

Original Research

Published on 16 Jun 2021

Deep Graph Mapper: Seeing Graphs Through the Neural Lens

in Machine Learning and Artificial Intelligence

Cristian Bodnar
Cătălina Cangea
Pietro Liò

Frontiers in Big Data

doi 10.3389/fdata.2021.680535

6,011 views
24 citations

Original Research

Published on 26 May 2021

Routing of Electric Vehicles With Intermediary Charging Stations: A Reinforcement Learning Approach

in Machine Learning and Artificial Intelligence

Marina Dorokhova
Christophe Ballif
Nicolas Wyrsch

Frontiers in Big Data

doi 10.3389/fdata.2021.586481

7,881 views
10 citations

Original Research

Published on 04 May 2021

MARGIN: Uncovering Deep Neural Networks Using Graph Signal Analysis

in Machine Learning and Artificial Intelligence

Rushil Anirudh
Jayaraman J. Thiagarajan
Rahul Sridhar
Peer-Timo Bremer

Frontiers in Big Data

doi 10.3389/fdata.2021.589417

2,603 views

Original Research

Published on 18 Feb 2021

Subgroup Invariant Perturbation for Unbiased Pre-Trained Model Prediction

in Machine Learning and Artificial Intelligence

Puspita Majumdar
Saheb Chhabra
Richa Singh
Mayank Vatsa

Frontiers in Big Data

doi 10.3389/fdata.2020.590296

3,218 views
10 citations

Perspective

Published on 23 Nov 2020

Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities

in Machine Learning and Artificial Intelligence

Remy Kusters
Dusan Misevic
Hugues Berry
Antoine Cully
Yann Le Cunff
Loic Dandoy
Natalia Díaz-Rodríguez
Marion Ficher
Jonathan Grizou
Alice Othmani

Frontiers in Big Data

doi 10.3389/fdata.2020.577974

26,089 views
55 citations

Systematic Review

Published on 12 Nov 2020

Securing Machine Learning in the Cloud: A Systematic Review of Cloud Machine Learning Security

in Machine Learning and Artificial Intelligence

Adnan Qayyum
Aneeqa Ijaz
Muhammad Usama
Waleed Iqbal
Junaid Qadir
Yehia Elkhatib
Ala Al-Fuqaha

Frontiers in Big Data

doi 10.3389/fdata.2020.587139

20,131 views
42 citations

Original Research

Published on 07 Oct 2020

Causal Learning From Predictive Modeling for Observational Data

in Machine Learning and Artificial Intelligence

Nandini Ramanan
Sriraam Natarajan

Frontiers in Big Data

doi 10.3389/fdata.2020.535976

18,809 views
14 citations

Mini Review

Published on 02 Sep 2020

Considerations for a More Ethical Approach to Data in AI: On Data Representation and Infrastructure

in Machine Learning and Artificial Intelligence

Alice Baird
Björn Schuller

Frontiers in Big Data

doi 10.3389/fdata.2020.00025

11,144 views
24 citations

General Commentary

Published on 25 Feb 2020

Commentary: A robust data-driven approach identifies four personality types across four large data sets

in Machine Learning and Artificial Intelligence

Kentaro Katahira
Yoshihiko Kunisato
Yuichi Yamashita
Shinsuke Suzuki

Frontiers in Big Data

doi 10.3389/fdata.2020.00008

12,653 views
4 citations

Perspective

Published on 22 Jan 2020

Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning

in Machine Learning and Artificial Intelligence

Andrea Galassi
Kristian Kersting
Marco Lippi
Xiaoting Shao
Paolo Torroni

Frontiers in Big Data

doi 10.3389/fdata.2019.00052

14,205 views
9 citations

Specialty Grand Challenge

Published on 19 Nov 2018

Machine Learning and Artificial Intelligence: Two Fellow Travelers on the Quest for Intelligent Behavior in Machines

in Machine Learning and Artificial Intelligence

Kristian Kersting

Frontiers in Big Data

doi 10.3389/fdata.2018.00006

67,691 views
81 citations

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Articles

Structural Compression of Convolutional Neural Networks with Applications in Interpretability

Editorial: Ethical Machine Learning and Artificial Intelligence

Editorial: Safe and Trustworthy Machine Learning

Public Perception of the Fifth Generation of Cellular Networks (5G) on Social Media

Deep Graph Mapper: Seeing Graphs Through the Neural Lens

Routing of Electric Vehicles With Intermediary Charging Stations: A Reinforcement Learning Approach

MARGIN: Uncovering Deep Neural Networks Using Graph Signal Analysis

Subgroup Invariant Perturbation for Unbiased Pre-Trained Model Prediction

Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities

Securing Machine Learning in the Cloud: A Systematic Review of Cloud Machine Learning Security

Causal Learning From Predictive Modeling for Observational Data

Considerations for a More Ethical Approach to Data in AI: On Data Representation and Infrastructure

Commentary: A robust data-driven approach identifies four personality types across four large data sets

Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning

Machine Learning and Artificial Intelligence: Two Fellow Travelers on the Quest for Intelligent Behavior in Machines