Ausgabe 3/2023
Inhalt (13 Artikel)
A semiautomatic method for obtaining a predictive deep learning model and a rule-based system for abdominal aortic aneurysms
Alberto Nogales, Fernando Gallardo, Miguel Pajares, Javier Martinez Gamez, José Moreno, Álvaro J. García-Tejedor
Identifying multimodal misinformation leveraging novelty detection and emotion recognition
Rina Kumari, Nischal Ashok, Pawan Kumar Agrawal, Tirthankar Ghosal, Asif Ekbal
SMGNN: span-to-span multi-channel graph neural network for aspect-sentiment triplet extraction
Barakat AlBadani, Jian Dong, Ronghua Shi, Raeed Al-Sabri, Dhekra Saeed, Alaa Thobhani
Information gain based dynamic support set construction for cold-start recommendation
Yu Li, Tetsuya Furukawa
TuckerDNCaching: high-quality negative sampling with tucker decomposition
Tiroshan Madushanka, Ryutaro Ichise
Audio-based anomaly detection on edge devices via self-supervision and spectral analysis
Fabrizio Lo Scudo, Ettore Ritacco, Luciano Caroprese, Giuseppe Manco
MMusic: a hierarchical multi-information fusion method for deep music recommendation
Jing Xu, Mingxin Gan, Xiongtao Zhang
ELECTRA-based graph network model for multi-hop question answering
Pengxuan Zhu, Yuan Yuan, Lei Chen
A generic approach to extract object-centric event data from databases supporting SAP ERP
Alessandro Berti, Gyunam Park, Majid Rafiei, Wil M. P. van der Aalst
Customer churn prediction for a webcast platform via a voting-based ensemble learning model with Nelder-Mead optimizer
Kani Fu, Guiyang Zheng, Wei Xie
Machine learning methods for predicting the admissions and hospitalisations in the emergency department of a civil and military hospital
Hugo Álvarez-Chaves, Pablo Muñoz, María D. R-Moreno
Session-based recommendation with temporal dynamics for large volunteer networks
Taurai Muvunza, Yang Li
A review of federated learning: taxonomy, privacy and future directions
Hashan Ratnayake, Lin Chen, Xiaofeng Ding