Foundation models meet visualizations: Challenges and opportunities
Recent studies have indicated that foundation models, such as BERT and GPT, excel at
adapting to various downstream tasks. This adaptability has made them a dominant force in …
adapting to various downstream tasks. This adaptability has made them a dominant force in …
New coordination framework for smart home peer-to-peer trading to reduce impact on distribution transformer
The emergence of distributed energy resources (DERs) is expected to result in an increase
in the amount of power transmitted through the distribution power grid. If these DERs are not …
in the amount of power transmitted through the distribution power grid. If these DERs are not …
Multi-stage optimization for energy management and trading for smart homes considering operational constraints of a distribution network
The increase in the uptake of distributed energy resources (DERs) makes the distribution
network more complex. Inadequate management of these DERs may lead to escalated …
network more complex. Inadequate management of these DERs may lead to escalated …
Visual analytics for machine learning: A data perspective survey
The past decade has witnessed a plethora of works that leverage the power of visualization
(VIS) to interpret machine learning (ML) models. The corresponding research topic, VIS4ML …
(VIS) to interpret machine learning (ML) models. The corresponding research topic, VIS4ML …
DeepResTrade: a peer-to-peer LSTM-decision tree-based price prediction and blockchain-enhanced trading system for renewable energy decentralized markets
Intelligent predictive models are fundamental in peer-to-peer (P2P) energy trading as they
properly estimate supply and demand variations and optimize energy distribution, and the …
properly estimate supply and demand variations and optimize energy distribution, and the …
Dynamic color assignment for hierarchical data
Assigning discriminable and harmonic colors to samples according to their class labels and
spatial distribution can generate attractive visualizations and facilitate data exploration …
spatial distribution can generate attractive visualizations and facilitate data exploration …
Generating grid maps via the snake model
The grid map, often referred to as the tile map, stands as a vital tool in geospatial
visualization, possessing unique attributes that differentiate it from more commonly known …
visualization, possessing unique attributes that differentiate it from more commonly known …
RuleExplorer: A scalable matrix visualization for understanding tree ensemble classifiers
The high performance of tree ensemble classifiers benefits from a large set of rules, which,
in turn, makes the models hard to understand. To improve interpretability, existing methods …
in turn, makes the models hard to understand. To improve interpretability, existing methods …
ReorderBench: A Benchmark for Matrix Reordering
Matrix reordering permutes the rows and columns of a matrix to reveal meaningful visual
patterns, such as blocks that represent clusters. A comprehensive collection of matrices …
patterns, such as blocks that represent clusters. A comprehensive collection of matrices …
Human-Guided Image Generation for Expanding Small-Scale Training Image Datasets
The performance of computer vision models in certain real-world applications (eg, rare
wildlife observation) is limited by the small number of available images. Expanding datasets …
wildlife observation) is limited by the small number of available images. Expanding datasets …