35 citations · 142 across the 39 of their papers we have counts for
6 papers · 1 filter
TADACap: Time-series Adaptive Domain-Aware Captioning
Elizabeth Fons, Rachneet Kaur, Zhen Zeng +4
While image captioning has gained significant attention, the potential of captioning time-series images, prevalent in areas like finance and healthcare, remains largely untapped. E…
Shining a Light on Hurricane Damage Estimation via Nighttime Light Data: Pre-processing Matters
Nancy Thomas, Saba Rahimi, Annita Vapsi +5
Amidst escalating climate change, hurricanes are inflicting severe socioeconomic impacts, marked by heightened economic losses and increased displacement. Previous research utilize…
From Pixels to Predictions: Spectrogram and Vision Transformer for Better Time Series Forecasting
Zhen Zeng, Rachneet Kaur, Suchetha Siddagangappa +2
Time series forecasting plays a crucial role in decision-making across various domains, but it presents significant challenges. Recent studies have explored image-driven approaches…
Deep Video Prediction for Time Series Forecasting
Zhen Zeng, Tucker Balch, Manuela Veloso
Time series forecasting is essential for decision making in many domains. In this work, we address the challenge of predicting prices evolution among multiple potentially interacti…
The Effect of Visual Design in Image Classification
Naftali Cohen, Tucker Balch, Manuela Veloso
Financial companies continuously analyze the state of the markets to rethink and adjust their investment strategies. While the analysis is done on the digital form of data, decisio…
Trading via Image Classification
Naftali Cohen, Tucker Balch, Manuela Veloso
The art of systematic financial trading evolved with an array of approaches, ranging from simple strategies to complex algorithms all relying, primary, on aspects of time-series an…