74 citations · 165 across the 12 of their papers we have counts for
12 papers
A Multi-Source Data Fusion-based Semantic Segmentation Model for Relic Landslide Detection
Yiming Zhou, Yuexing Peng, Daqing Ge +2
As a natural disaster, landslide often brings tremendous losses to human lives, so it urgently demands reliable detection of landslide risks. When detecting relic landslides that p…
Phonetic and Prosody-aware Self-supervised Learning Approach for Non-native Fluency Scoring
Kaiqi Fu, Shaojun Gao, Shuju Shi +3
Speech fluency/disfluency can be evaluated by analyzing a range of phonetic and prosodic features. Deep neural networks are commonly trained to map fluency-related features into th…
A Data-driven Case-based Reasoning in Bankruptcy Prediction
Wei Li, Wolfgang Karl Härdle, Stefan Lessmann
There has been intensive research regarding machine learning models for predicting bankruptcy in recent years. However, the lack of interpretability limits their growth and practic…
Day-ahead electricity price prediction applying hybrid models of LSTM-based deep learning methods and feature selection algorithms under consideration of market coupling
Wei Li, Denis Mike Becker
The availability of accurate day-ahead electricity price forecasts is pivotal for electricity market participants. In the context of trade liberalisation and market harmonisation i…
Basketball Player's Value Evaluation by a Networks-based Variant Parameter Hidden Markov Model
Xin Du, Weihong Cai, Jianquan Liu +3
Determining the value of basketball players through analyzing the players' behavior is important for the managers of modern basketball teams. However, conventional methods always u…
BiERU: Bidirectional Emotional Recurrent Unit for Conversational Sentiment Analysis
Wei Li, Wei Shao, Shaoxiong Ji +1
Sentiment analysis in conversations has gained increasing attention in recent years for the growing amount of applications it can serve, e.g., sentiment analysis, recommender syste…