π 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 π
https://t.co/GcG81Xfrpu
π Featured paper:
Performance measure for sparse recovery algorithms in compressed sensing perspective
by V. Vivekanand & Deepak Mishra
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https://t.co/dZpDclZtyJ
π Featured paper:
Deep neural network-based spatiotemporal heterogeneous data reconstruction for landslide detection
by Darmawan Utomo, Liang-Cheng Hu & @pahsiung
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https://t.co/ATzcVLsfxI
π Featured paper:
Pullβpush: a measure of over- or underpersonalization in recommendation
by Gebrekirstos G. Gebremeskel & @arjenpdevries
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https://t.co/y85UOXAiKI
π 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:
https://t.co/kLuvw7MgXr
π Featured paper:
Predicting and explaining employee turnover intention
by Matilde Lazzari, @cc_jalvarez & @ruggieris
Read hereπ
https://t.co/LnxCd9lJ5x
π Featured paper:
Overfitting measurement of convolutional neural networks using trained network weights
by Satoru Watanabe & Hayato Yamana
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https://t.co/GlnQBDAdD6
π Featured paper:
Ensemble clustering of longitudinal bivariate HIV biomarker profiles to group patients by patterns of disease progression
by Miranda L. Lynch & Victor DeGruttola
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https://t.co/yC3vC7m5t0
π Featured paper:
Dbias: detecting biases and ensuring fairness in news articles
by @shaina17433400, @dreji18 & Chen Ding
Read οΏ½οΏ½οΏ½οΏ½
https://t.co/No81ve51Bf
π’ Call for Papers!
IEEE DSAA 2023 Journal Track on Theoretical and Practical Data Science and Analytics
π Submit until April 15th, 2023 AoE π
Authors of accepted papers will present their work at DSAA 2023!
More info: https://t.co/OeZerOMX2u
π Featured paper:
Path signature-based phase space reconstruction for stock trend prediction
by Cuiting Li & Ke Liu
Read πhttps://t.co/njuqLFPRh4
π Featured paper:
From data to interpretable models: machine learning for soil moisture forecasting
by Aniruddha Basak, Kevin M. Schmidt & @OleMengshoel
Read here: https://t.co/soM4z2wACV
π Featured paper:
Graph neural networks for multivariate time series regression with application to seismic data
by Stefan Bloemheuvel, Jurgen van den Hoogen, Dario JozinoviΔ, Alberto Michelini & Martin Atzmueller
Read πhttps://t.co/Hv483g6atI
π Featured paper:
Toward a taxonomy for 2D non-paired General Line Coordinates: a comprehensive survey
by Antonella S. Antonini, Leandro Luque, MarΓa LujΓ‘n Ganuza & Silvia M. Castro
Read here: https://t.co/l7CfPoLymJ
π Featured paper:
DeepTLF: robust deep neural networks for heterogeneous tabular data
by @vdmbrsv, @KBroelemann, @EnkelejdaKasne1 & @Gjergji_
Read π https://t.co/uQhHbOJWf9
π Featured paper:
The pattern frequency distribution theory: a mathematic establishment toward rational and reliable pattern mining
by Tongyuan Wang
Read πhttps://t.co/DtfhzZYH5w
π Featured paper:
A novel recommendation system comprising WNMF with graph-based static and temporal similarity estimators
by Anshul Gupta & Pravin Shrinath
Read πhttps://t.co/gUh4w3rR2r