Search Results for author:
Found 7 papers, 3 papers with code
GACAN: Graph Attention-Convolution-Attention Networks for Traffic Forecasting Based on Multi-granularity Time Series
The main novelty of the model is the integration of time series of four different time granularities: the original time series, together with hourly, daily, and weekly time series.
Tribrid: Stance Classification with Neural Inconsistency Detection
In the second case, we show that using the confidence scores to remove doubtful predictions allows our method to achieve human-like performance over the retained information, which is still a sizable part of the original input.
Space Meets Time: Local Spacetime Neural Network For Traffic Flow Forecasting
We argue that such correlations are universal and play a pivotal role in traffic flow.
Space Meets Time: Local Spacetime Neural Network For Traffic Flow Forecasting
We argue that such correlations are universal and play a pivotal role in traffic flow.
Multimodal Learning For Classroom Activity Detection
The experimental results demonstrate the benefits of our approach on learning attention based neural network from classroom data with different modalities, and show our approach is able to outperform state-of-the-art baselines in terms of various evaluation metrics.
Classification of full exceptional collections of line bundles on three blow-ups of $\mathbb{P}^{3}$
A fullness conjecture of Kuznetsov says that if a smooth projective variety $X$ admits a full exceptional collection of line bundles of length $l$, then any exceptional collection of line bundles of length $l$ is full.
Algebraic Geometry 14F05, 14J45, 18E30
S-index: Towards Better Metrics for Quantifying Research Impact
The ongoing growth in the volume of scientific literature available today precludes researchers from efficiently discerning the relevant from irrelevant content.
