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ORCIDInternational Journal of Data Science and Analytics, Volume 16
Volume 16, Number 1, June 2023
- Andrei V. Konstantinov
, Lev V. Utkin:
Attention-like feature explanation for tabular data. 1-26 - Anshul Gupta, Pravin Shrinath:
A novel recommendation system comprising WNMF with graph-based static and temporal similarity estimators. 27-41 - Tongyuan Wang:
The pattern frequency distribution theory: a mathematic establishment toward rational and reliable pattern mining. 43-83 - Vadim Borisov, Klaus Broelemann, Enkelejda Kasneci, Gjergji Kasneci:
DeepTLF: robust deep neural networks for heterogeneous tabular data. 85-100 - Guillaume Staerman, Eric Adjakossa, Pavlo Mozharovskyi, Vera Hofer, Jayant Sen Gupta, Stéphan Clémençon:
Functional anomaly detection: a benchmark study. 101-117 - Sajad Fathi Hafshejani, Zahra Moaberfard:
Initialization for non-negative matrix factorization: a comprehensive review. 119-134
Volume 16, Number 2, August 2023
- Shoujin Wang, Yan Wang, Fikret Sivrikaya, Sahin Albayrak, Vito Walter Anelli:
Data science for next-generation recommender systems. 135-145 - Minsung Hong, Namho Chung, Chulmo Koo, Sun-Young Koh:
TPEDTR: temporal preference embedding-based deep tourism recommendation with card transaction data. 147-162 - Anton Lysenko, Egor Shikov, Klavdiya Bochenina:
Combination of individual and group patterns for time-sensitive purchase recommendation. 163-172 - Jing Yuan, Christian Geißler, Weijia Shao, Andreas Lommatzsch, Brijnesh J. Jain:
When algorithm selection meets Bi-linear Learning to Rank: accuracy and inference time trade off with candidates expansion. 173-189 - Xin Wang, Serdar Kadioglu:
Modeling uncertainty to improve personalized recommendations via Bayesian deep learning. 191-201 - Mitali Desai, Rupa G. Mehta, Dipti P. Rana:
ScholarRec: a scholars' recommender system that combines scholastic influence and social collaborations in academic social networks. 203-216 - Domokos M. Kelen, András A. Benczúr:
A probabilistic perspective on nearest neighbor for implicit recommendation. 217-235 - Michael Sun, Andrew Wang:
Privacy preserving cold-start recommendation for out-of-matrix users via content baskets. 237-253 - Gebrekirstos G. Gebremeskel, Arjen P. de Vries:
Pull-push: a measure of over- or underpersonalization in recommendation. 255-269 - Donglin Zhou, Zhihong Zhang, Yangxin Zheng, Zhenting Zou, Lin Zheng:
Attenuated sentiment-aware sequential recommendation. 271-283 - Chaima Laroussi, Raouia Ayachi:
A deep meta-level spatio-categorical POI recommender system. 285-299
Volume 16, Number 3, September 2023
- Tri Minh Nguyen, Thin Nguyen, Truyen Tran:
Learning to discover medicines. 301-316 - Stefan Bloemheuvel, Jurgen van den Hoogen, Dario Jozinovic, Alberto Michelini, Martin Atzmueller:
Graph neural networks for multivariate time series regression with application to seismic data. 317-332 - Monika Di Angelo, Gernot Salzer:
Identification of token contracts on Ethereum: standard compliance and beyond. 333-352 - Iraklis Varlamis, Christos Sardianos, Christos Chronis, George J. Dimitrakopoulos, Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira:
Using big data and federated learning for generating energy efficiency recommendations. 353-369 - Kavita Sahu, R. K. Srivastava, Sarvesh Kumar, Manish Saxena, Bineet Kumar Gupta, Ravi Prakash Verma:
Integrated hesitant fuzzy-based decision-making framework for evaluating sustainable and renewable energy. 371-390 - Yu-Xuan Zhang, Mei Yang, Zhengchun Zhou, Fan Min:
Multi-instance embedding learning with deconfounded instance-level prediction. 391-401
Volume 16, Number 4, October 2023
- Carson K. Leung, Gabriella Pasi, Li Wang:
Theoretical and practical data science and analytics: challenges and solutions. 403-406 - Andrew Barrick, Isabelle Métais, Hanane-Perrein Ettajani, Jean-Marie Marion, Amélie Châtel:
Establishing FAIR (Findable, Accessible, Interoperable and Reusable) principles for estuarine organisms exposed to engineered nanomaterials. 407-419 - Nourhan Ahmed, Lars Schmidt-Thieme:
Sparse self-attention guided generative adversarial networks for time-series generation. 421-434 - Dayne Sorvisto:
Applications of the discrete-time Fourier transform to data analysis. 435-440 - Mohanned Abduljabbar Hael:
Unbiased recursive decision tree for supervised functional data classification with applying on electrocardiogram signals. 441-454 - Alejandro Gabriel Villanueva Zacarias, Peter Reimann, Christian Weber, Bernhard Mitschang:
AssistML: an approach to manage, recommend and reuse ML solutions. 455-479 - Nicolás Hernández, Alberto Muñoz, Gabriel Martos:
Density kernel depth for outlier detection in functional data. 481-488
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