Online first articles

Articles not assigned to an issue 33 articles

Sample-selection-adjusted random forests

Authors
- Jonathan Cook
- Content type: Regular Paper
- Published: 18 June 2022
Collective intelligence and knowledge exploration: an introduction

Authors (first, second and last of 5)
- Salma Sassi
- Mirjana Ivanovic
- Yannis Manolopoulos
- Content type: Editorial
- Published: 17 June 2022
Data-driven analytics of COVID-19 ‘infodemic’

Authors (first, second and last of 4)
- Minyu Wan
- Qi Su
- Chu-Ren Huang
- Content type: Regular Paper
- Published: 14 June 2022
A survey on event and subevent detection from microblog data towards crisis management

Authors
- Shatadru Roy Chowdhury
- Srinka Basu
- Ujjwal Maulik
- Content type: Review
- Published: 10 June 2022
Exo-SIR: an epidemiological model to analyze the impact of exogenous spread of infection

Authors (first, second and last of 5)
- Nirmal Kumar Sivaraman
- Manas Gaur
- Amit Sheth
- Content type: Regular Paper
- Published: 06 June 2022
COVID-19 and 5G conspiracy theories: long term observation of a digital wildfire

Authors (first, second and last of 5)
- Johannes Langguth
- Petra Filkuková
- Konstantin Pogorelov
- Content type: Original Paper
- Open Access
- Published: 27 May 2022
Using big data and federated learning for generating energy efficiency recommendations

Authors (first, second and last of 8)
- Iraklis Varlamis
- Christos Sardianos
- Abbes Amira
- Content type: Regular Paper
- Published: 26 May 2022
Interactive planning of revisiting-free itinerary for signed-for delivery

Authors (first, second and last of 4)
- Lo Pang-Yun Ting
- Shan-Yun Teng
- Kun-Ta Chuang
- Content type: Regular Paper
- Published: 26 May 2022
Predicting and explaining employee turnover intention

Authors
- Matilde Lazzari
- Jose M. Alvarez
- Salvatore Ruggieri
- Content type: Regular Paper
- Open Access
- Published: 23 May 2022
Urban fire station location planning using predicted demand and service quality index

Authors
- Arnab Dey
- Andrew Heger
- Darin England
- Content type: Regular Paper
- Published: 14 May 2022
Overfitting measurement of convolutional neural networks using trained network weights

Authors
- Satoru Watanabe
- Hayato Yamana
- Content type: Regular Paper
- Published: 12 May 2022
Path signature-based phase space reconstruction for stock trend prediction

Authors
- Cuiting Li
- Ke Liu
- Content type: Regular Paper
- Published: 12 May 2022
RASCL: a randomised approach to subspace clusters

Authors
- Sandy Moens
- Boris Cule
- Bart Goethals
- Content type: Regular Paper
- Open Access
- Published: 11 May 2022
An iterative topic model filtering framework for short and noisy user-generated data: analyzing conspiracy theories on twitter

Authors (first, second and last of 6)
- Gillian Kant
- Levin Wiebelt
- Benjamin Säfken
- Content type: Regular Paper
- Open Access
- Published: 06 May 2022
Ensemble clustering of longitudinal bivariate HIV biomarker profiles to group patients by patterns of disease progression

Authors
- Miranda L. Lynch
- Victor DeGruttola
- Content type: Applications
- Open Access
- Published: 04 May 2022
Explainability of the COVID-19 epidemiological model with nonnegative tensor factorization

Authors (first, second and last of 4)
- Thirunavukarasu Balasubramaniam
- David J. Warne
- Kerrie Mengersen
- Content type: Regular Paper
- Open Access
- Published: 30 April 2022
Accurate and efficient privacy-preserving string matching

Authors
- Sirintra Vaiwsri
- Thilina Ranbaduge
- Peter Christen
- Content type: Regular Paper
- Open Access
- Published: 13 April 2022
Eigenvalue analysis of SARS-CoV-2 viral load data: illustration for eight COVID-19 patients

Authors
- Till D. Frank
- Content type: Regular Paper
- Published: 04 April 2022
Adaptive k-center and diameter estimation in sliding windows

Authors
- Paolo Pellizzoni
- Andrea Pietracaprina
- Geppino Pucci
- Content type: Regular Paper
- Open Access
- Published: 02 April 2022
Video emotion analysis enhanced by recognizing emotion in video comments

Authors (first, second and last of 7)
- Wei Cao
- Kun Zhang
- Ming He
- Content type: Regular Paper
- Published: 19 March 2022
A survey on machine learning methods for churn prediction

Authors
- Louis Geiler
- Séverine Affeldt
- Mohamed Nadif
- Content type: Review
- Published: 01 March 2022
Performance prediction in major league baseball by long short-term memory networks

Authors
- Hsuan-Cheng Sun
- Tse-Yu Lin
- Yen-Lung Tsai
- Content type: Regular Paper
- Published: 11 February 2022
AutoML: state of the art with a focus on anomaly detection, challenges, and research directions

Authors (first, second and last of 4)
- Maroua Bahri
- Flavia Salutari
- Mauro Sozio
- Content type: Review
- Published: 04 February 2022
Sampling and sparsification for approximating the packedness of trajectories and detecting gatherings

Authors (first, second and last of 4)
- Sepideh Aghamolaei
- Vahideh Keikha
- Ali Mohades
- Content type: Regular Paper
- Published: 29 January 2022
Telugu named entity recognition using bert

Authors (first, second and last of 4)
- SaiKiranmai Gorla
- Sai Sharan Tangeda
- Aruna Malapati
- Content type: Regular Paper
- Published: 18 January 2022
A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the USA

Authors
- Benjamin Lucas
- Behzad Vahedi
- Morteza Karimzadeh
- Content type: Regular Paper
- Published: 15 January 2022
Exploring unsupervised multivariate time series representation learning for chronic disease diagnosis

Authors (first, second and last of 5)
- Xu Zhang
- Yaming Wang
- Hongzhe Zhang
- Content type: Regular Paper
- Published: 11 November 2021
Identification of token contracts on Ethereum: standard compliance and beyond

Authors
- Monika Di Angelo
- Gernot Salzer
- Content type: Regular Paper
- Open Access
- Published: 03 September 2021
Comparative analysis of different crossover structures for solving a periodic inventory routing problem

Authors
- Mohamed Salim Amri Sakhri
- Content type: Regular Paper
- Published: 28 August 2021
Deep multi-task learning with flexible and compact architecture search

Authors (first, second and last of 6)
- Jiejie Zhao
- Weifeng Lv
- Guixi Xiong
- Content type: Regular Paper
- Published: 24 July 2021
Modeling uncertainty to improve personalized recommendations via Bayesian deep learning

Authors
- Xin Wang
- Serdar Kadıoğlu
- Content type: Regular Paper
- Published: 31 March 2021
This is part of 2 collections:
Data Science for Next Generation Recommender Systems,

Data science for Next Generation Recommender System
When algorithm selection meets Bi-linear Learning to Rank: accuracy and inference time trade off with candidates expansion

Authors (first, second and last of 5)
- Jing Yuan
- Christian Geissler
- Brijnesh Jain
- Content type: Regular Paper
- Open Access
- Published: 09 October 2020
This is part of 2 collections:
Data science for Next Generation Recommender System,

Data science for Next Generation Recommender System
Combination of individual and group patterns for time-sensitive purchase recommendation

Authors
- Anton Lysenko
- Egor Shikov
- Klavdiya Bochenina
- Content type: Regular Paper
- Published: 08 October 2020
This is part of 2 collections:
Data science for Next Generation Recommender System,

Data science for Next Generation Recommender System

Online first articles

Articles not assigned to an issue 33 articles

Sample-selection-adjusted random forests

Collective intelligence and knowledge exploration: an introduction

Data-driven analytics of COVID-19 ‘infodemic’

A survey on event and subevent detection from microblog data towards crisis management

Exo-SIR: an epidemiological model to analyze the impact of exogenous spread of infection

COVID-19 and 5G conspiracy theories: long term observation of a digital wildfire

Using big data and federated learning for generating energy efficiency recommendations

Interactive planning of revisiting-free itinerary for signed-for delivery

Predicting and explaining employee turnover intention

Urban fire station location planning using predicted demand and service quality index

Overfitting measurement of convolutional neural networks using trained network weights

Path signature-based phase space reconstruction for stock trend prediction

RASCL: a randomised approach to subspace clusters

An iterative topic model filtering framework for short and noisy user-generated data: analyzing conspiracy theories on twitter

Ensemble clustering of longitudinal bivariate HIV biomarker profiles to group patients by patterns of disease progression

Explainability of the COVID-19 epidemiological model with nonnegative tensor factorization

Accurate and efficient privacy-preserving string matching

Eigenvalue analysis of SARS-CoV-2 viral load data: illustration for eight COVID-19 patients

Adaptive k-center and diameter estimation in sliding windows

Video emotion analysis enhanced by recognizing emotion in video comments

A survey on machine learning methods for churn prediction

Performance prediction in major league baseball by long short-term memory networks

AutoML: state of the art with a focus on anomaly detection, challenges, and research directions

Sampling and sparsification for approximating the packedness of trajectories and detecting gatherings

Telugu named entity recognition using bert

A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the USA

Exploring unsupervised multivariate time series representation learning for chronic disease diagnosis

Identification of token contracts on Ethereum: standard compliance and beyond

Comparative analysis of different crossover structures for solving a periodic inventory routing problem

Deep multi-task learning with flexible and compact architecture search

Modeling uncertainty to improve personalized recommendations via Bayesian deep learning

When algorithm selection meets Bi-linear Learning to Rank: accuracy and inference time trade off with candidates expansion

Combination of individual and group patterns for time-sensitive purchase recommendation

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