| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A causal direction test for heterogeneous populations
|
Partovi Nia, Vahid
|
|
|
7 |
C |
p.
|
artikel
|
| 2 |
AddGBoost: A gradient boosting-style algorithm based on strong learners
|
Sipper, Moshe
|
|
|
7 |
C |
p.
|
artikel
|
| 3 |
A-iLearn: An adaptive incremental learning model for spoof fingerprint detection
|
Agarwal, Shivang
|
|
|
7 |
C |
p.
|
artikel
|
| 4 |
Airbnb rental price modeling based on Latent Dirichlet Allocation and MESF-XGBoost composite model
|
Islam, Md Didarul
|
|
|
7 |
C |
p.
|
artikel
|
| 5 |
Alzheimer’s disease diagnosis using genetic programming based on higher order spectra features
|
Nasrolahzadeh, Mahda
|
|
|
7 |
C |
p.
|
artikel
|
| 6 |
A machine learning framework for guided wave-based damage detection of rail head using surface-bonded piezo-electric wafer transducers
|
Mahajan, Harsh
|
|
|
7 |
C |
p.
|
artikel
|
| 7 |
An applied deep learning approach for estimating soybean relative maturity from UAV imagery to aid plant breeding decisions
|
Moeinizade, Saba
|
|
|
7 |
C |
p.
|
artikel
|
| 8 |
A self-adaptive deep learning model for building electricity load prediction with moving horizon
|
Luo, Xiaojun
|
|
|
7 |
C |
p.
|
artikel
|
| 9 |
Comparative analysis of contextual and context-free embeddings in disaster prediction from Twitter data
|
Deb, Sumona
|
|
|
7 |
C |
p.
|
artikel
|
| 10 |
Cryptocurrency ecosystems and social media environments: An empirical analysis through Hawkes’ models and natural language processing
|
Ortu, Marco
|
|
|
7 |
C |
p.
|
artikel
|
| 11 |
Edge loss functions for deep-learning depth-map
|
Paul, Sandip
|
|
|
7 |
C |
p.
|
artikel
|
| 12 |
Effective forecasting of key features in hospital emergency department: Hybrid deep learning-driven methods
|
Harrou, Fouzi
|
|
|
7 |
C |
p.
|
artikel
|
| 13 |
Enhanced performance of Dark-Nets for brain tumor classification and segmentation using colormap-based superpixel techniques
|
Ahuja, Sakshi
|
|
|
7 |
C |
p.
|
artikel
|
| 14 |
Enhancing the pattern recognition capacity of machine learning techniques: The importance of feature positioning
|
Di Caprio, Debora
|
|
|
7 |
C |
p.
|
artikel
|
| 15 |
Fatigue damage detection of aerospace-grade aluminum alloys using feature-based and feature-less deep neural networks
|
Dharmadhikari, Susheel
|
|
|
7 |
C |
p.
|
artikel
|
| 16 |
Frog calling activity detection using lightweight CNN with multi-view spectrogram: A case study on Kroombit tinker frog
|
Xie, Jie
|
|
|
7 |
C |
p.
|
artikel
|
| 17 |
Heart sound classification using signal processing and machine learning algorithms
|
Zeinali, Yasser
|
|
|
7 |
C |
p.
|
artikel
|
| 18 |
How to evaluate classifier performance in the presence of additional effects: A new POD-based approach allowing certification of machine learning approaches
|
Ameyaw, Daniel Adofo
|
|
|
7 |
C |
p.
|
artikel
|
| 19 |
Initialization of profile and social network analyses robot and platform with a concise systematic review
|
Saracoglu, Burak Omer
|
|
|
7 |
C |
p.
|
artikel
|
| 20 |
Long-term financial predictions based on Feynman–Dirac path integrals, deep Bayesian networks and temporal generative adversarial networks
|
Soleymani, Farzan
|
|
|
7 |
C |
p.
|
artikel
|
| 21 |
Machine Learning Outperforms Classical Forecasting on Horticultural Sales Predictions
|
Haselbeck, Florian
|
|
|
7 |
C |
p.
|
artikel
|
| 22 |
Making personnel selection smarter through word embeddings: A graph-based approach
|
Kanakaris, Nikos
|
|
|
7 |
C |
p.
|
artikel
|
| 23 |
Microfluidic droplet detection via region-based and single-pass convolutional neural networks with comparison to conventional image analysis methodologies
|
Rutkowski, Gregory Philip
|
|
|
7 |
C |
p.
|
artikel
|
| 24 |
Multistep networks for roll force prediction in hot strip rolling mill
|
Shen, Shuhong
|
|
|
7 |
C |
p.
|
artikel
|
| 25 |
Optimizing ensemble weights and hyperparameters of machine learning models for regression problems
|
Shahhosseini, Mohsen
|
|
|
7 |
C |
p.
|
artikel
|
| 26 |
Overcoming the ordinal imbalanced data problem by combining data processing and stacked generalizations
|
Desprez, Marine
|
|
|
7 |
C |
p.
|
artikel
|
| 27 |
Predicting conditional maximum contaminant level exceedance probabilities for drinking water after wildfires with Bayesian regularized network ensembles
|
Schmidt, Andres
|
|
|
7 |
C |
p.
|
artikel
|
| 28 |
Predicting density of serious crime incidents using a Multiple-Input Hidden Markov Maximization a posteriori model
|
Robertson, Devon L.
|
|
|
7 |
C |
p.
|
artikel
|
| 29 |
Predicting help desk ticket reassignments with graph convolutional networks
|
Schad, Jörg
|
|
|
7 |
C |
p.
|
artikel
|
| 30 |
Rainfall prediction: A comparative analysis of modern machine learning algorithms for time-series forecasting
|
Barrera-Animas, Ari Yair
|
|
|
7 |
C |
p.
|
artikel
|
| 31 |
Self supervised contrastive learning for digital histopathology
|
Ciga, Ozan
|
|
|
7 |
C |
p.
|
artikel
|
Tijdschrift beschrijving