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ORCIDInternational Journal of Data Science and Analytics, Volume 17
Volume 17, Number 1, January 2024
- Lior Shamir:
Automatic identification of rank correlation between image sequences. 1-11 - Peyman Rasouli
, Ingrid Chieh Yu:
CARE: coherent actionable recourse based on sound counterfactual explanations. 13-38 - Shaina Raza, Deepak John Reji, Chen Ding:
Dbias: detecting biases and ensuring fairness in news articles. 39-59 - Ali Sahleh, Maziar Salahi:
Improved robust nonparallel support vector machines. 61-74 - Mohammad Modiri, Mohammad Mehdi Ebadzadeh, Mohammad Mehdi Homayounpour:
Reservoir consisting of diverse dynamical behaviors and its application in time series classification. 75-92 - Darmawan Utomo, Liang-Cheng Hu, Pao-Ann Hsiung:
Deep neural network-based spatiotemporal heterogeneous data reconstruction for landslide detection. 93-109 - Wilson Wen Bin Goh, Reuben Jyong Kiat Foo, Limsoon Wong:
What can scatterplots teach us about doing data science better? 111-125 - Patrick Hosein:
A data science approach to risk assessment for automobile insurance policies. 127-138
Volume 17, Number 2, March 2024
- Gustavo Sosa-Cabrera, Santiago Gómez-Guerrero, Miguel García-Torres, Christian E. Schaerer:
Feature selection: a perspective on inter-attribute cooperation. 139-151 - Salvatore Citraro, Letizia Milli, Rémy Cazabet, Giulio Rossetti:
Δ-Conformity: multi-scale node assortativity in feature-rich stream graphs. 153-164 - Amir Hosein Keyhanipour:
Graph-based comparative analysis of learning to rank datasets. 165-187 - Nourhan Ahmed, Ahmed Rashed, Lars Schmidt-Thieme:
Learning attentive attribute-aware node embeddings in dynamic environments. 189-201 - Haojie Xie, Yongshun Gong, Xiangjun Dong:
Spatial-temporal regularized tensor decomposition method for traffic speed data imputation. 203-223 - Roberto Bertolini, Stephen J. Finch:
Stability of filter feature selection methods in data pipelines: a simulation study. 225-248
Volume 17, Number 3, April 2024
- Ikenna Oluigbo, Hamida Seba, Mohammed Haddad:
Identity2Vec: learning mesoscopic structural identity representations via Poisson probability metric. 249-260 - Kehinde Olobatuyi, Matthew R. P. Parker, Oludare Ariyo:
Cluster weighted model based on TSNE algorithm for high-dimensional data. 261-273 - Nat Pavasant, Takashi Morita, Masayuki Numao, Ken-ichi Fukui:
Granger causality-based cluster sequence mining for spatio-temporal causal relation mining. 275-288 - Erich Kummerfeld, Leland Williams, Sisi Ma:
Power analysis for causal discovery. 289-304 - Chandrika Kamath:
Classification of orbits in Poincaré maps using machine learning. 305-321 - Ahmed Sedky Eldeeb, Muhammad Ahsan ul Haq, Ayesha Babar:
A new discrete XLindley distribution: theory, actuarial measures, inference, and applications. 323-333
Volume 17, Number 4, May 2024
- P. Krishna Reddy:
Introduction to the special issue on PAKDD'2021. 335-336 - Marko Harasic, Felix-Sebastian Keese, Denny Mattern, Adrian Paschke:
Recent advances and future challenges in federated recommender systems. 337-357 - Ali Anaissi, Basem Suleiman, Widad Alyassine, Seid Miad Zandavi:
A fast parallel tensor decomposition with optimal stochastic gradient descent: an application in structural damage identification. 359-371 - Ali Braytee, Wei Liu:
Robust multi-label feature learning-based dual space. 373-387 - Sudarsun Santhiappan, Jeshuren Chelladurai, Balaraman Ravindran:
TOMBoost: a topic modeling based boosting approach for learning with class imbalance. 389-409 - Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Hani Nassif, Jason T. L. Wang:
Downscaling daily wind speed with Bayesian deep learning for climate monitoring. 411-424 - Guihong Wan, Haim Schweitzer:
Spectral pursuit for simultaneous sparse representation with accuracy guarantees. 425-441 - Eunkyung Park, Raymond K. Wong, Junbum Kwon, Victor W. Chu:
A stable model for maximizing the number of significant features. 443-460
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