| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A benchmarking study of classification techniques for behavioral data
|
De Cnudde, Sofie
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|
2 |
p. 131-173
|
artikel
|
| 2 |
Accurate and efficient privacy-preserving string matching
|
Vaiwsri, Sirintra
|
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|
2 |
p. 191-215
|
artikel
|
| 3 |
A characterization of sample selection bias in system evaluation and the case of information retrieval
|
Melucci, Massimo
|
|
2018
|
|
2 |
p. 131-146
|
artikel
|
| 4 |
Adaptive k-center and diameter estimation in sliding windows
|
Pellizzoni, Paolo
|
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|
2 |
p. 155-173
|
artikel
|
| 5 |
A deep meta-level spatio-categorical POI recommender system
|
Laroussi, Chaima
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|
2 |
p. 285-299
|
artikel
|
| 6 |
A general framework for causal classification
|
Li, Jiuyong
|
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|
2 |
p. 127-139
|
artikel
|
| 7 |
AI recognition preprocessing algorithm for polyp based on illumination equalization and highlight restoration
|
Feng, Bo
|
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|
2 |
p. 217-230
|
artikel
|
| 8 |
A low-sensitivity quantitative measure for traffic safety data analytics
|
Suthaharan, Shan
|
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|
2 |
p. 241-256
|
artikel
|
| 9 |
A million variables and more: the Fast Greedy Equivalence Search algorithm for learning high-dimensional graphical causal models, with an application to functional magnetic resonance images
|
Ramsey, Joseph
|
|
2016
|
|
2 |
p. 121-129
|
artikel
|
| 10 |
A mining-based approach for efficient enumeration of algebraic structures
|
Khan, Majid Ali
|
|
2016
|
|
2 |
p. 89-98
|
artikel
|
| 11 |
A model of concept hierarchy-based diverse patterns with applications to recommender system
|
Kumara Swamy, M.
|
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|
2 |
p. 177-191
|
artikel
|
| 12 |
Analyzing and learning sparse and scale-free networks using Gaussian graphical models
|
Aslan, Melih S.
|
|
2016
|
|
2 |
p. 99-109
|
artikel
|
| 13 |
Analyzing the impact of missing values and selection bias on fairness
|
Wang, Yanchen
|
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|
2 |
p. 101-119
|
artikel
|
| 14 |
An influence model for influence maximization–revenue optimization
|
Lawrence, Trisha
|
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|
2 |
p. 155-168
|
artikel
|
| 15 |
Anonymization of German financial documents using neural network-based language models with contextual word representations
|
Biesner, David
|
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|
2 |
p. 151-161
|
artikel
|
| 16 |
A novel clustering-based method for time series motif discovery under time warping measure
|
Truong, Cao Duy
|
|
2017
|
|
2 |
p. 113-126
|
artikel
|
| 17 |
A novel ensemble deep learning model for stock prediction based on stock prices and news
|
Li, Yang
|
|
|
|
2 |
p. 139-149
|
artikel
|
| 18 |
A novel fault propagation path identification inference algorithm using parent nodes filter
|
Sun, Shuanzhu
|
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|
2 |
p. 205-213
|
artikel
|
| 19 |
A probabilistic perspective on nearest neighbor for implicit recommendation
|
Kelen, Domokos M.
|
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|
|
2 |
p. 217-235
|
artikel
|
| 20 |
A semi-supervised associative classification method for POS tagging
|
Rani, Pratibha
|
|
2016
|
|
2 |
p. 123-136
|
artikel
|
| 21 |
A survey on training and evaluation of word embeddings
|
Torregrossa, François
|
|
|
|
2 |
p. 85-103
|
artikel
|
| 22 |
Attenuated sentiment-aware sequential recommendation
|
Zhou, Donglin
|
|
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|
2 |
p. 271-283
|
artikel
|
| 23 |
Automatic parallelization of representative-based clustering algorithms for multicore cluster systems
|
Islam, Saiyedul
|
|
|
|
2 |
p. 135-159
|
artikel
|
| 24 |
AutoML: state of the art with a focus on anomaly detection, challenges, and research directions
|
Bahri, Maroua
|
|
|
|
2 |
p. 113-126
|
artikel
|
| 25 |
Big data quality prediction informed by banking regulation
|
Wong, Ka Yee
|
|
|
|
2 |
p. 147-164
|
artikel
|
| 26 |
Caveats and pitfalls in crowdsourcing research: the case of soccer referee bias
|
Berrar, Daniel
|
|
2017
|
|
2 |
p. 143-151
|
artikel
|
| 27 |
Collective intelligence and knowledge exploration: an introduction
|
Sassi, Salma
|
|
|
|
2 |
p. 99-111
|
artikel
|
| 28 |
Combination of individual and group patterns for time-sensitive purchase recommendation
|
Lysenko, Anton
|
|
|
|
2 |
p. 163-172
|
artikel
|
| 29 |
Comparative analysis of different crossover structures for solving a periodic inventory routing problem
|
Amri Sakhri, Mohamed Salim
|
|
|
|
2 |
p. 141-153
|
artikel
|
| 30 |
Δ-Conformity: multi-scale node assortativity in feature-rich stream graphs
|
Citraro, Salvatore
|
|
|
|
2 |
p. 153-164
|
artikel
|
| 31 |
Coverage pattern based framework to improve search engine advertising
|
Budhiraja, Amar
|
|
2018
|
|
2 |
p. 199-211
|
artikel
|
| 32 |
Cryptocurrencies asset pricing via machine learning
|
Wang, Qiyu
|
|
|
|
2 |
p. 175-183
|
artikel
|
| 33 |
CSAR: the cross-sectional autoregression model for short and long-range forecasting
|
Hartmann, Claudio
|
|
2019
|
|
2 |
p. 165-181
|
artikel
|
| 34 |
Data science and AI in FinTech: an overview
|
Cao, Longbing
|
|
|
|
2 |
p. 81-99
|
artikel
|
| 35 |
Data science for next-generation recommender systems
|
Wang, Shoujin
|
|
|
|
2 |
p. 135-145
|
artikel
|
| 36 |
Deep multi-task learning with flexible and compact architecture search
|
Zhao, Jiejie
|
|
|
|
2 |
p. 187-199
|
artikel
|
| 37 |
Detection of causally anomalous time-series
|
Apte, Manoj
|
|
|
|
2 |
p. 141-153
|
artikel
|
| 38 |
Dimension-based subspace search for outlier detection
|
Trittenbach, Holger
|
|
2018
|
|
2 |
p. 87-101
|
artikel
|
| 39 |
dLSTM: a new approach for anomaly detection using deep learning with delayed prediction
|
Maya, Shigeru
|
|
2019
|
|
2 |
p. 137-164
|
artikel
|
| 40 |
Easy-Mention: a model-driven mention recommendation heuristic to boost your tweet popularity
|
Pramanik, Soumajit
|
|
2018
|
|
2 |
p. 131-147
|
artikel
|
| 41 |
Elliptical modeling and pattern analysis for perturbation models and classification
|
Suthaharan, Shan
|
|
2018
|
|
2 |
p. 103-113
|
artikel
|
| 42 |
Energy-aware very fast decision tree
|
García-Martín, Eva
|
|
|
|
2 |
p. 105-126
|
artikel
|
| 43 |
Exploring unsupervised multivariate time series representation learning for chronic disease diagnosis
|
Zhang, Xu
|
|
|
|
2 |
p. 173-186
|
artikel
|
| 44 |
FaiRecSys: mitigating algorithmic bias in recommender systems
|
Edizel, Bora
|
|
|
|
2 |
p. 197-213
|
artikel
|
| 45 |
Feature selection: a perspective on inter-attribute cooperation
|
Sosa-Cabrera, Gustavo
|
|
|
|
2 |
p. 139-151
|
artikel
|
| 46 |
Forecasting respiratory tract infection episodes from prescription data for healthcare service planning
|
Khan, Atikur R.
|
|
|
|
2 |
p. 169-180
|
artikel
|
| 47 |
Graph-based comparative analysis of learning to rank datasets
|
Keyhanipour, Amir Hosein
|
|
|
|
2 |
p. 165-187
|
artikel
|
| 48 |
Guest editorial: special issue on causal discovery
|
Li, Jiuyong
|
|
2016
|
|
2 |
p. 79-80
|
artikel
|
| 49 |
Handling hybrid and missing data in constraint-based causal discovery to study the etiology of ADHD
|
Sokolova, Elena
|
|
2016
|
|
2 |
p. 105-119
|
artikel
|
| 50 |
Harnessing social media data for pharmacovigilance: a review of current state of the art, challenges and future directions
|
Pappa, Dimitra
|
|
2019
|
|
2 |
p. 113-135
|
artikel
|
| 51 |
Howard’s algorithm for high-order approximations of American options under jump-diffusion models
|
Thakoor, Nawdha
|
|
|
|
2 |
p. 193-203
|
artikel
|
| 52 |
Identifiability and transportability in dynamic causal networks
|
Blondel, Gilles
|
|
2016
|
|
2 |
p. 131-147
|
artikel
|
| 53 |
Improved method for correcting sample Mahalanobis distance without estimating population eigenvalues or eigenvectors of covariance matrix
|
Kobayashi, Yasuyuki
|
|
|
|
2 |
p. 121-134
|
artikel
|
| 54 |
Incremental learning strategies for credit cards fraud detection
|
Lebichot, B.
|
|
|
|
2 |
p. 165-174
|
artikel
|
| 55 |
Introduction to the foundations of causal discovery
|
Eberhardt, Frederick
|
|
2016
|
|
2 |
p. 81-91
|
artikel
|
| 56 |
Learning attentive attribute-aware node embeddings in dynamic environments
|
Ahmed, Nourhan
|
|
|
|
2 |
p. 189-201
|
artikel
|
| 57 |
Linking bank clients using graph neural networks powered by rich transactional data
|
Shumovskaia, Valentina
|
|
|
|
2 |
p. 135-145
|
artikel
|
| 58 |
Mining subgraph coverage patterns from graph transactions
|
Reddy, A. Srinivas
|
|
|
|
2 |
p. 105-121
|
artikel
|
| 59 |
Modeling of laser-induced breakdown spectroscopic data analysis by an automatic classifier
|
Pokrajac, David D.
|
|
2019
|
|
2 |
p. 213-220
|
artikel
|
| 60 |
Modeling uncertainty to improve personalized recommendations via Bayesian deep learning
|
Wang, Xin
|
|
|
|
2 |
p. 191-201
|
artikel
|
| 61 |
Multi-task network embedding
|
Xu, Linchuan
|
|
2018
|
|
2 |
p. 183-198
|
artikel
|
| 62 |
On spectral analysis of directed signed graphs
|
Li, Yuemeng
|
|
2018
|
|
2 |
p. 147-162
|
artikel
|
| 63 |
Optimizing graph layout by t-SNE perplexity estimation
|
Xiao, Chun
|
|
|
|
2 |
p. 159-171
|
artikel
|
| 64 |
Prescriptive analytics with differential privacy
|
Harikumar, Haripriya
|
|
|
|
2 |
p. 123-138
|
artikel
|
| 65 |
Privacy preserving cold-start recommendation for out-of-matrix users via content baskets
|
Sun, Michael
|
|
|
|
2 |
p. 237-253
|
artikel
|
| 66 |
Problems with research methods in medical device big data analytics
|
Strang, Kenneth David
|
|
|
|
2 |
p. 229-240
|
artikel
|
| 67 |
Pull–push: a measure of over- or underpersonalization in recommendation
|
Gebremeskel, Gebrekirstos G.
|
|
|
|
2 |
p. 255-269
|
artikel
|
| 68 |
Quant data science meets dexterous artistry
|
Dinov, Ivo D.
|
|
2018
|
|
2 |
p. 81-86
|
artikel
|
| 69 |
Randomized outlier detection with trees
|
Buschjäger, Sebastian
|
|
|
|
2 |
p. 91-104
|
artikel
|
| 70 |
Recent methods in vision-based hand gesture recognition
|
Badi, Haitham
|
|
2016
|
|
2 |
p. 77-87
|
artikel
|
| 71 |
Regression-based supervised learning of autosteering of a road car featuring a delayed steering response
|
Nikulin, Vsevolod
|
|
2018
|
|
2 |
p. 149-163
|
artikel
|
| 72 |
Repetitive causal discovery of linear non-Gaussian acyclic models in the presence of latent confounders
|
Maeda, Takashi Nicholas
|
|
|
|
2 |
p. 77-89
|
artikel
|
| 73 |
Resampling-based predictive simulation framework of stochastic diffusion model for identifying top-K influential nodes
|
Ohara, Kouzou
|
|
|
|
2 |
p. 175-195
|
artikel
|
| 74 |
Retraction Note to: A survey on human–computer interaction technologies and techniques
|
Badi, Haitham
|
|
2017
|
|
2 |
p. 149
|
artikel
|
| 75 |
Sampling and sparsification for approximating the packedness of trajectories and detecting gatherings
|
Aghamolaei, Sepideh
|
|
|
|
2 |
p. 201-216
|
artikel
|
| 76 |
ScholarRec: a scholars’ recommender system that combines scholastic influence and social collaborations in academic social networks
|
Desai, Mitali
|
|
|
|
2 |
p. 203-216
|
artikel
|
| 77 |
Semantic-aware aircraft trajectory prediction using flight plans
|
Georgiou, Harris
|
|
|
|
2 |
p. 215-228
|
artikel
|
| 78 |
Similarity-based probabilistic category-based location recommendation utilizing temporal and geographical influence
|
Zhou, Dequan
|
|
2016
|
|
2 |
p. 111-121
|
artikel
|
| 79 |
Spatial-aware hyperspectral image classification via multifeature kernel dictionary learning
|
Zhang, Huimin
|
|
2018
|
|
2 |
p. 115-129
|
artikel
|
| 80 |
Spatial–temporal regularized tensor decomposition method for traffic speed data imputation
|
Xie, Haojie
|
|
|
|
2 |
p. 203-223
|
artikel
|
| 81 |
Spatio-semantic user profiles in location-based social networks
|
Mohamed, Soha
|
|
2017
|
|
2 |
p. 127-142
|
artikel
|
| 82 |
Stability of filter feature selection methods in data pipelines: a simulation study
|
Bertolini, Roberto
|
|
|
|
2 |
p. 225-248
|
artikel
|
| 83 |
Tell cause from effect: models and evaluation
|
Song, Jing
|
|
2017
|
|
2 |
p. 99-112
|
artikel
|
| 84 |
Telugu named entity recognition using bert
|
Gorla, SaiKiranmai
|
|
|
|
2 |
p. 127-140
|
artikel
|
| 85 |
Tensor latent block model for co-clustering
|
Boutalbi, Rafika
|
|
|
|
2 |
p. 161-175
|
artikel
|
| 86 |
The many faces of data-centric workflow optimization: a survey
|
Kougka, Georgia
|
|
2018
|
|
2 |
p. 81-107
|
artikel
|
| 87 |
Toward a taxonomy for 2D non-paired General Line Coordinates: a comprehensive survey
|
Antonini, Antonella S.
|
|
|
|
2 |
p. 133-158
|
artikel
|
| 88 |
TPEDTR: temporal preference embedding-based deep tourism recommendation with card transaction data
|
Hong, Minsung
|
|
|
|
2 |
p. 147-162
|
artikel
|
| 89 |
Trans-AI/DS: transformative, transdisciplinary and translational artificial intelligence and data science
|
Cao, Longbing
|
|
|
|
2 |
p. 119-132
|
artikel
|
| 90 |
Unsupervised record matching with noisy and incomplete data
|
Gennip, Yves van
|
|
2018
|
|
2 |
p. 109-129
|
artikel
|
| 91 |
Using data to build a better EM: EM* for big data
|
Kurban, Hasan
|
|
2017
|
|
2 |
p. 83-97
|
artikel
|
| 92 |
Using network features for credit scoring in microfinance
|
Paraíso, Paulo
|
|
|
|
2 |
p. 121-134
|
artikel
|
| 93 |
Video emotion analysis enhanced by recognizing emotion in video comments
|
Cao, Wei
|
|
|
|
2 |
p. 175-189
|
artikel
|
| 94 |
Weakening faithfulness: some heuristic causal discovery algorithms
|
Zhalama,
|
|
2016
|
|
2 |
p. 93-104
|
artikel
|
| 95 |
When algorithm selection meets Bi-linear Learning to Rank: accuracy and inference time trade off with candidates expansion
|
Yuan, Jing
|
|
|
|
2 |
p. 173-189
|
artikel
|
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