Frontiers in Artificial Intelligence | Machine Learning and Artificial Intelligence

Review

Published on 12 Dec 2024

Revolutionizing the construction industry by cutting edge artificial intelligence approaches: a review

in Machine Learning and Artificial Intelligence

Eliezer Zahid Gill
Daniela Cardone
Alessia Amelio

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1474932

7,101 views
7 citations

Original Research

Published on 06 Dec 2024

Causal contextual bandits with one-shot data integration

in Machine Learning and Artificial Intelligence

Chandrasekar Subramanian
Balaraman Ravindran

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1346700

2,098 views
1 citation

Opinion

Published on 03 Dec 2024

Revolutionizing smart grid security: a holistic cyber defence strategy

in Machine Learning and Artificial Intelligence

Bhushankumar Nemade
Kiran Kishor Maharana
Vikram Kulkarni
Ch Srivardhankumar
Mahendra Shelar

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1476422

4,297 views
4 citations

Original Research

Published on 27 Nov 2024

MLR-predictor: a versatile and efficient computational framework for multi-label requirements classification

in Machine Learning and Artificial Intelligence

Summra Saleem
Muhammad Nabeel Asim
Ludger Van Elst
Markus Junker
Andreas Dengel

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1481581

1,999 views
3 citations

Original Research

Published on 19 Nov 2024

Active learning with human heuristics: an algorithm robust to labeling bias

in Machine Learning and Artificial Intelligence

Sriram Ravichandran
Nandan Sudarsanam
Balaraman Ravindran
Konstantinos V. Katsikopoulos

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1491932

2,830 views
1 citation

Original Research

Published on 14 Nov 2024

SkyMap: a generative graph model for GNN benchmarking

in Machine Learning and Artificial Intelligence

Axel Wassington
Raúl Higueras
Sergi Abadal

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1427534

2,277 views
1 citation

Brief Research Report

Published on 14 Nov 2024

Comparative study of machine learning techniques for post-combustion carbon capture systems

in Machine Learning and Artificial Intelligence

Yeping Hu
Bo Lei
Yash Girish Shah
Jose Cadena
Amar Saini
Grigorios Panagakos
Phan Nguyen

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1441934

2,248 views
3 citations

Systematic Review

Published on 13 Nov 2024

A review on deep learning methods for heart sound signal analysis

in Machine Learning and Artificial Intelligence

Elaheh Partovi
Ankica Babic
Arash Gharehbaghi

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1434022

5,120 views
7 citations

Opinion

Published on 11 Nov 2024

Advancements, challenges, and future prospects of smart grid technology in India

in Machine Learning and Artificial Intelligence

Archana Talhar Belge
Shiwani Gupta
Sujata Alegavi
Vidyadhari Singh
Kshama Shukla

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1475604

4,388 views
2 citations

Perspective

Published on 08 Nov 2024

Ethics dumping in artificial intelligence

in Machine Learning and Artificial Intelligence

Jean-Christophe Bélisle-Pipon
Gavin Victor

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1426761

5,303 views
10 citations

Original Research

Published on 06 Nov 2024

Advancing smart city factories: enhancing industrial mechanical operations via deep learning techniques

in Machine Learning and Artificial Intelligence

William Villegas-Ch
Jaime Govea
Walter Gaibor-Naranjo
Santiago Sanchez-Viteri

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1398126

1,704 views

Review

Published on 05 Nov 2024

Predicting patient reported outcome measures: a scoping review for the artificial intelligence-guided patient preference predictor

in Machine Learning and Artificial Intelligence

Jeremy A. Balch
A. Hayes Chatham
Philip K. W. Hong
Lauren Manganiello
Naveen Baskaran
Azra Bihorac
Benjamin Shickel
Ray E. Moseley
Tyler J. Loftus

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1477447

4,072 views
6 citations

Review

Published on 23 Oct 2024

Patient-centric knowledge graphs: a survey of current methods, challenges, and applications

in Machine Learning and Artificial Intelligence

Hassan S. Al Khatib
Subash Neupane
Harish Kumar Manchukonda
Noorbakhsh Amiri Golilarz
Sudip Mittal
Amin Amirlatifi
Shahram Rahimi

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1388479

8,443 views
8 citations

Original Research

Published on 22 Oct 2024

Prediction of unobserved bifurcation by unsupervised extraction of slowly time-varying system parameter dynamics from time series using reservoir computing

in Machine Learning and Artificial Intelligence

Keita Tokuda
Yuichi Katori

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1451926

1,979 views

Original Research

Published on 21 Oct 2024

Heuristic machine learning approaches for identifying phishing threats across web and email platforms

in Machine Learning and Artificial Intelligence

Ramprasath Jayaprakash
Krishnaraj Natarajan
J. Alfred Daniel
Chandru Vignesh Chinnappan
Jayant Giri
Hong Qin
Saurav Mallik

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1414122

31,505 views
9 citations

Systematic Review

Published on 17 Oct 2024

Human-centered evaluation of explainable AI applications: a systematic review

in Machine Learning and Artificial Intelligence

Jenia Kim
Henry Maathuis
Danielle Sent

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1456486

17,204 views
26 citations

Brief Research Report

Published on 15 Oct 2024

A novel framework for automated warehouse layout generation

in Machine Learning and Artificial Intelligence

Atefeh Shahroudnejad
Payam Mousavi
Oleksii Perepelytsia
Sahir
David Staszak
Matthew E. Taylor
Brent Bawel

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1465186

4,635 views
3 citations

Original Research

Published on 04 Oct 2024

LRMP: Layer Replication with Mixed Precision for spatial in-memory DNN accelerators

in Machine Learning and Artificial Intelligence

Abinand Nallathambi
Christin David Bose
Wilfried Haensch
Anand Raghunathan

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1268317

1,767 views

Original Research

Published on 24 Sep 2024

Anomaly detection via Gumbel Noise Score Matching

in Machine Learning and Artificial Intelligence

Ahsan Mahmood
Junier Oliva
Martin Andreas Styner

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1441205

1,796 views
1 citation

Original Research

Published on 20 Sep 2024

MLGCN: an ultra efficient graph convolutional neural model for 3D point cloud analysis

in Machine Learning and Artificial Intelligence

Mohammad Khodadad
Ali Shiraee Kasmaee
Hamidreza Mahyar
Morteza Rezanejad

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1439340

3,488 views
2 citations

Methods

Published on 20 Sep 2024

A global model-agnostic rule-based XAI method based on Parameterized Event Primitives for time series classifiers

in Machine Learning and Artificial Intelligence

Ephrem Tibebe Mekonnen
Luca Longo
Pierpaolo Dondio

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1381921

3,246 views
2 citations

Original Research

Published on 18 Sep 2024

Uncertainty quantification in multi-class image classification using chest X-ray images of COVID-19 and pneumonia

in Machine Learning and Artificial Intelligence

Albert Whata
Katlego Dibeco
Kudakwashe Madzima
Ibidun Obagbuwa

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1410841

4,669 views
6 citations

Original Research

Published on 18 Sep 2024

David vs. Goliath: comparing conventional machine learning and a large language model for assessing students' concept use in a physics problem

in Machine Learning and Artificial Intelligence

Fabian Kieser
Paul Tschisgale
Sophia Rauh
Xiaoyu Bai
Holger Maus
Stefan Petersen
Manfred Stede
Knut Neumann
Peter Wulff

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1408817

3,866 views
7 citations

Methods

Published on 11 Sep 2024

OLTW-TEC: online learning with sliding windows for text classifier ensembles

in Machine Learning and Artificial Intelligence

Khrystyna Lipianina-Honcharenko
Yevgeniy Bodyanskiy
Nataliia Kustra
Andrii Ivasechkо

Frontiers in Artificial Intelligence

doi 10.3389/frai.2024.1401126

2,253 views
3 citations

477 articles

articles

Revolutionizing the construction industry by cutting edge artificial intelligence approaches: a review

Causal contextual bandits with one-shot data integration

Revolutionizing smart grid security: a holistic cyber defence strategy

MLR-predictor: a versatile and efficient computational framework for multi-label requirements classification

Active learning with human heuristics: an algorithm robust to labeling bias

SkyMap: a generative graph model for GNN benchmarking

Comparative study of machine learning techniques for post-combustion carbon capture systems

A review on deep learning methods for heart sound signal analysis

Advancements, challenges, and future prospects of smart grid technology in India

Ethics dumping in artificial intelligence

Advancing smart city factories: enhancing industrial mechanical operations via deep learning techniques

Predicting patient reported outcome measures: a scoping review for the artificial intelligence-guided patient preference predictor

Patient-centric knowledge graphs: a survey of current methods, challenges, and applications

Prediction of unobserved bifurcation by unsupervised extraction of slowly time-varying system parameter dynamics from time series using reservoir computing

Heuristic machine learning approaches for identifying phishing threats across web and email platforms

Human-centered evaluation of explainable AI applications: a systematic review

A novel framework for automated warehouse layout generation

LRMP: Layer Replication with Mixed Precision for spatial in-memory DNN accelerators

Anomaly detection via Gumbel Noise Score Matching

MLGCN: an ultra efficient graph convolutional neural model for 3D point cloud analysis

A global model-agnostic rule-based XAI method based on Parameterized Event Primitives for time series classifiers

Uncertainty quantification in multi-class image classification using chest X-ray images of COVID-19 and pneumonia

David vs. Goliath: comparing conventional machine learning and a large language model for assessing students' concept use in a physics problem

OLTW-TEC: online learning with sliding windows for text classifier ensembles