119 citations · 243 across the 10 of their papers we have counts for
11 papers
Improved Stock Price Movement Classification Using News Articles Based on Embeddings and Label Smoothing
Luis Villamil, Ryan Bausback, Shaeke Salman +3
Stock price movement prediction is a challenging and essential problem in finance. While it is well established in modern behavioral finance that the share prices of related stocks…
Understanding the Spectral Bias of Coordinate Based MLPs Via Training Dynamics
John Lazzari, Xiuwen Liu
Spectral bias is an important observation of neural network training, stating that the network will learn a low frequency representation of the target function before converging to…
Dense Embeddings Preserving the Semantic Relationships in WordNet
Canlin Zhang, Xiuwen Liu
In this paper, we provide a novel way to generate low dimensional vector embeddings for the noun and verb synsets in WordNet, where the hypernym-hyponym relationship is preserved i…
An Analysis on the Learning Rules of the Skip-Gram Model
Canlin Zhang, Xiuwen Liu, Daniel Bis
To improve the generalization of the representations for natural language processing tasks, words are commonly represented using vectors, where distances among the vectors are rela…
Towards Quantifying Intrinsic Generalization of Deep ReLU Networks
Shaeke Salman, Canlin Zhang, Xiuwen Liu +1
Understanding the underlying mechanisms that enable the empirical successes of deep neural networks is essential for further improving their performance and explaining such network…
Next-Generation High-Resolution Vector-Borne Disease Risk Assessment
Meysam Ghaffari, Ashok Srinivasan, Anuj Mubayi +2
Vector-borne diseases cause more than 1 million deaths annually. Estimates of epidemic risk at high spatial resolutions can enable effective public health interventions. Our goal i…
Consensus-based Interpretable Deep Neural Networks with Application to Mortality Prediction
Shaeke Salman, Seyedeh Neelufar Payrovnaziri, Xiuwen Liu +2
Deep neural networks have achieved remarkable success in various challenging tasks. However, the black-box nature of such networks is not acceptable to critical applications, such…
High-resolution home location prediction from tweets using deep learning with dynamic structure
Meysam Ghaffari, Ashok Srinivasan, Xiuwen Liu
Timely and high-resolution estimates of the home locations of a sufficiently large subset of the population are critical for effective disaster response and public health intervent…
Overfitting Mechanism and Avoidance in Deep Neural Networks
Shaeke Salman, Xiuwen Liu
Assisted by the availability of data and high performance computing, deep learning techniques have achieved breakthroughs and surpassed human performance empirically in difficult t…
Land Cover Classification from Multi-temporal, Multi-spectral Remotely Sensed Imagery using Patch-Based Recurrent Neural Networks
Atharva Sharma, Xiuwen Liu, Xiaojun Yang
Sustainability of the global environment is dependent on the accurate land cover information over large areas. Even with the increased number of satellite systems and sensors acqui…
Transformed Residual Quantization for Approximate Nearest Neighbor Search
Jiangbo Yuan, Xiuwen Liu
The success of product quantization (PQ) for fast nearest neighbor search depends on the exponentially reduced complexities of both storage and computation with respect to the code…