A review on extreme learning machine

J Wang, S Lu, SH Wang, YD Zhang - Multimedia Tools and Applications, 2022 - Springer
Extreme learning machine (ELM) is a training algorithm for single hidden layer feedforward
neural network (SLFN), which converges much faster than traditional methods and yields …

Recommender systems for smart cities

L Quijano-Sánchez, I Cantador, ME Cortés-Cediel… - Information systems, 2020 - Elsevier
Among other conceptualizations, smart cities have been defined as functional urban areas
articulated by the use of Information and Communication Technologies (ICT) and modern …

Going from RGB to RGBD saliency: A depth-guided transformation model

R Cong, J Lei, H Fu, J Hou, Q Huang… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Depth information has been demonstrated to be useful for saliency detection. However, the
existing methods for RGBD saliency detection mainly focus on designing straightforward …

DeepSD: Supply-demand prediction for online car-hailing services using deep neural networks

D Wang, W Cao, J Li, J Ye - 2017 IEEE 33rd international …, 2017 - ieeexplore.ieee.org
The online car-hailing service has gained great popularity all over the world. As more
passengers and more drivers use the service, it becomes increasingly more important for the …

Spatio-temporal feature fusion for dynamic taxi route recommendation via deep reinforcement learning

S Ji, Z Wang, T Li, Y Zheng - Knowledge-Based Systems, 2020 - Elsevier
Dynamic taxi route recommendation aims at recommending cruising routes to vacant taxis
such that they can quickly find and pick up new passengers. Given citizens' giant but …

TRec: an efficient recommendation system for hunting passengers with deep neural networks

Z Huang, G Shan, J Cheng, J Sun - Neural Computing and Applications, 2019 - Springer
Discovering hidden knowledge patterns in trajectory data can help to hunt passengers for
taxi drivers. And it is an important issue in the intelligent transportation domain. However, the …

Machine learning based personalized drug response prediction for lung cancer patients

R Qureshi, SA Basit, JA Shamsi, X Fan, M Nawaz… - Scientific Reports, 2022 - nature.com
Lung cancers with a mutated epidermal growth factor receptor (EGFR) are a major
contributor to cancer fatalities globally. Targeted tyrosine kinase inhibitors (TKIs) have been …

Came: Content-and context-aware music embedding for recommendation

D Wang, X Zhang, D Yu, G Xu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Traditional recommendation methods suffer from limited performance, which can be
addressed by incorporating abundant auxiliary/side information. This article focuses on a …

[HTML][HTML] 出租车轨迹数据挖掘进展

吴华意, 黄蕊, 游兰, 向隆刚 - 2019 - html.rhhz.net
大数据, 物联网与精密定位技术的发展推动了城市感知的进步. 随着社会活动的与日俱增,
出租车轨迹数据不仅记录了出租车的行车轨迹, 还蕴藏着道路交通状态, 城市居民出行规律 …

AdaBoost-Bagging deep inverse reinforcement learning for autonomous taxi cruising route and speed planning

S Liu, Y Zhang, Z Wang, S Gu - … Part E: Logistics and Transportation Review, 2023 - Elsevier
Taxi cruising route planning has attracted considerable attention, and relevant studies can
be broadly categorized into three main streams: recommending one or multiple areas …