JDSA Springer

Data science enthusiasts are warmly encouraged to contribute to the Special Issue on #DataScience and #AI for #MarineScience and #BlueEconomy - International Journal of Data Science and Analytics @JDSASpringer link.springer.com/collections/cf… wikicfp.com/cfp/servlet/ev… #openscience #FAIR

📜 Featured paper: What can scatterplots teach us about doing data science better? by Wilson Wen Bin Goh, Reuben Jyong Kiat Foo & Limsoon Wong Read here 👇 link.springer.com/article/10.100…

📜 Featured paper: Performance measure for sparse recovery algorithms in compressed sensing perspective by V. Vivekanand & Deepak Mishra Read 👇 link.springer.com/article/10.100…

📜 Featured paper: Deep neural network-based spatiotemporal heterogeneous data reconstruction for landslide detection by Darmawan Utomo, Liang-Cheng Hu & @pahsiung Read 👇 link.springer.com/article/10.100…

📜 Featured paper: Pull–push: a measure of over- or underpersonalization in recommendation by Gebrekirstos G. Gebremeskel & @arjenpdevries Read 👇 link.springer.com/article/10.100…

📜 Featured paper: Reservoir consisting of diverse dynamical behaviors and its application in time series classification by Mohammad Modiri, Mohammad Mehdi Ebadzadeh & Mohammad Mehdi Homayounpour Read here: link.springer.com/article/10.100…

📜 Featured paper: Predicting and explaining employee turnover intention by Matilde Lazzari, @cc_jalvarez & @ruggieris Read here👇 link.springer.com/article/10.100…

📜 Featured paper: RASCL: a randomised approach to subspace clusters by @SandyMoens, Boris Cule & @goethals Read 👇 link.springer.com/article/10.100…

📜 Featured paper: Overfitting measurement of convolutional neural networks using trained network weights by Satoru Watanabe & Hayato Yamana Read 👇 link.springer.com/article/10.100…

📜 Featured paper: Ensemble clustering of longitudinal bivariate HIV biomarker profiles to group patients by patterns of disease progression by Miranda L. Lynch & Victor DeGruttola Read 👇 link.springer.com/article/10.100…

📜 Featured paper: Dbias: detecting biases and ensuring fairness in news articles by @shaina17433400, @dreji18 & Chen Ding Read 👇 link.springer.com/article/10.100…

📢 Call for Papers! IEEE DSAA 2023 Journal Track on Theoretical and Practical Data Science and Analytics 👉 Submit until April 15th, 2023 AoE 👈 Authors of accepted papers will present their work at DSAA 2023! More info: conferences.sigappfr.org/dsaa2023/cfp-f…

📜 Featured paper: Path signature-based phase space reconstruction for stock trend prediction by Cuiting Li & Ke Liu Read 👇link.springer.com/article/10.100…

📜 Featured paper: From data to interpretable models: machine learning for soil moisture forecasting by Aniruddha Basak, Kevin M. Schmidt & @OleMengshoel Read here: link.springer.com/article/10.100…

📜 Featured paper: Graph neural networks for multivariate time series regression with application to seismic data by Stefan Bloemheuvel, Jurgen van den Hoogen, Dario Jozinović, Alberto Michelini & Martin Atzmueller Read 👇link.springer.com/article/10.100…

📜 Featured paper: Toward a taxonomy for 2D non-paired General Line Coordinates: a comprehensive survey by Antonella S. Antonini, Leandro Luque, María Luján Ganuza & Silvia M. Castro Read here: link.springer.com/article/10.100…

📜 Featured paper: Improved robust nonparallel support vector machines by Ali Sahleh & Maziar Salahi Read here: link.springer.com/article/10.100…

📜 Featured paper: DeepTLF: robust deep neural networks for heterogeneous tabular data by @vdmbrsv, @KBroelemann, @EnkelejdaKasne1 & @Gjergji_ Read 👇 link.springer.com/article/10.100…

📜 Featured paper: The pattern frequency distribution theory: a mathematic establishment toward rational and reliable pattern mining by Tongyuan Wang Read 👇link.springer.com/article/10.100…

📜 Featured paper: A novel recommendation system comprising WNMF with graph-based static and temporal similarity estimators by Anshul Gupta & Pravin Shrinath Read 👇link.springer.com/article/10.100…