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Machine learning and deep learning

Machine learning and deep learning

12 April 2021
Christian Janiesch
Patrick Zschech
Kai Heinrich
ArXivPDFHTML

Papers citing "Machine learning and deep learning"

19 / 19 papers shown
Title
Learning-based estimation of cattle weight gain and its influencing factors
Learning-based estimation of cattle weight gain and its influencing factors
M. Hossain
R. Islam
Shawn R. McGrath
Md. Zahidul Islam
David Lamb
36
1
0
10 Feb 2025
Ethio-Fake: Cutting-Edge Approaches to Combat Fake News in
  Under-Resourced Languages Using Explainable AI
Ethio-Fake: Cutting-Edge Approaches to Combat Fake News in Under-Resourced Languages Using Explainable AI
Mesay Gemeda Yigezu
Melkamu Mersha
Girma Yohannis Bade
Jugal Kalita
Olga Kolesnikova
Alexander Gelbukh
43
1
0
03 Oct 2024
A review of graph neural network applications in mechanics-related
  domains
A review of graph neural network applications in mechanics-related domains
Yingxue Zhao
Haoran Li
Haosu Zhou
H. Attar
Tobias Pfaff
Nan Li
AI4CE
37
5
0
10 Jul 2024
A Comprehensive Survey on Machine Learning Driven Material Defect Detection
A Comprehensive Survey on Machine Learning Driven Material Defect Detection
Jun Bai
Di Wu
T. Shelley
Peter Schubel
David Twine
John Russell
Xuesen Zeng
J. Zhang
75
6
0
12 Jun 2024
Machine learning in business process management: A systematic literature
  review
Machine learning in business process management: A systematic literature review
Sven Weinzierl
Sandra Zilker
Sebastian Dunzer
Martin Matzner
42
11
0
26 May 2024
A machine learning framework for interpretable predictions in patient
  pathways: The case of predicting ICU admission for patients with symptoms of
  sepsis
A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis
Sandra Zilker
Sven Weinzierl
Mathias Kraus
Patrick Zschech
Martin Matzner
29
7
0
21 May 2024
Machine Learning on Dynamic Graphs: A Survey on Applications
Machine Learning on Dynamic Graphs: A Survey on Applications
Sanaz Hasanzadeh Fard
AI4CE
26
3
0
16 Jan 2024
A Comprehensive Review of Community Detection in Graphs
A Comprehensive Review of Community Detection in Graphs
Jiakang Li
Songlai Ning
Zhihao Shuai
Yuan Tan
Yifan Jia
...
Yongxin Ni
Haifeng Qiu
Jiayu Yang
Y. Lu
Yonggang Lu
GNN
24
20
0
21 Sep 2023
Empowering Precision Medicine: AI-Driven Schizophrenia Diagnosis via EEG
  Signals: A Comprehensive Review from 2002-2023
Empowering Precision Medicine: AI-Driven Schizophrenia Diagnosis via EEG Signals: A Comprehensive Review from 2002-2023
M. Jafari
Delaram Sadeghi
A. Shoeibi
Hamid Alinejad-Rokny
Amin Beheshti
David López-García
Zhaolin Chen
U. Acharya
Juan M Gorriz
23
20
0
14 Sep 2023
Generative AI
Generative AI
Stefan Feuerriegel
Jochen Hartmann
Christian Janiesch
Patrick Zschech
42
546
0
13 Sep 2023
Crime Prediction Using Machine Learning and Deep Learning: A Systematic
  Review and Future Directions
Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions
V. Mandalapu
Lavanya Elluri
P. Vyas
Nirmalya Roy
28
48
0
28 Mar 2023
The Past, Current, and Future of Neonatal Intensive Care Units with
  Artificial Intelligence
The Past, Current, and Future of Neonatal Intensive Care Units with Artificial Intelligence
Elif Keles
Ulas Bagci
33
21
0
01 Feb 2023
FedStack: Personalized activity monitoring using stacked federated
  learning
FedStack: Personalized activity monitoring using stacked federated learning
T. Shaik
Xiaohui Tao
Niall Higgins
R. Gururajan
Yuefeng Li
Xujuan Zhou
Usha R. Acharya
FedML
32
61
0
27 Sep 2022
Breast Cancer Classification using Deep Learned Features Boosted with
  Handcrafted Features
Breast Cancer Classification using Deep Learned Features Boosted with Handcrafted Features
Unaiza Sajid
Rizwan Ahmed Khan
S. M. Shah
Sheeraz Arif
OOD
11
33
0
26 Jun 2022
Stop ordering machine learning algorithms by their explainability! A
  user-centered investigation of performance and explainability
Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability
L. Herm
Kai Heinrich
Jonas Wanner
Christian Janiesch
19
84
0
20 Jun 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and
  Vibroacoustic
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic
Barbara Z Cunha
C. Droz
A. Zine
Stéphane Foulard
M. Ichchou
AI4CE
35
84
0
13 Apr 2022
GlacierNet2: A Hybrid Multi-Model Learning Architecture for Alpine
  Glacier Mapping
GlacierNet2: A Hybrid Multi-Model Learning Architecture for Alpine Glacier Mapping
Z. Xie
U. Haritashya
V. Asari
M. Bishop
J. Kargel
Theus H. Aspiras
11
4
0
06 Apr 2022
Survey and Systematization of 3D Object Detection Models and Methods
Survey and Systematization of 3D Object Detection Models and Methods
Moritz Drobnitzky
J. Friederich
Bernhard Egger
Patrick Zschech
3DPC
29
11
0
23 Jan 2022
What Can Machine Vision Do for Lymphatic Histopathology Image Analysis:
  A Comprehensive Review
What Can Machine Vision Do for Lymphatic Histopathology Image Analysis: A Comprehensive Review
Xiaoqi Li
Hao Chen
Chen Li
M. Rahaman
Xintong Li
Jian Wu
Xirong Li
Hongzan Sun
M. Grzegorzek
45
6
0
21 Jan 2022
1