Evaluating data augmentation for financial time series classification. - Elizabeth Fons; Paula Dawson; Xiao-Jun Zeng; John A. Keane; Alexandros Iosifidis (CoRR, 2020)

Augmenting Transferred Representations for Stock Classification. - Elizabeth Fons; Paula Dawson; Xiao-Jun Zeng; John A. Keane; Alexandros Iosifidis (ICASSP, 2021)

Adaptive Weighting Scheme for Automatic Time-Series Data Augmentation. - Elizabeth Fons; Paula Dawson; Xiao-Jun Zeng; John A. Keane; Alexandros Iosifidis (CoRR, 2021)

A novel dynamic asset allocation system using Feature Saliency Hidden Markov models for smart beta investing. - Elizabeth Fons; Paula Dawson; Jeffrey Yau; Xiao-Jun Zeng; John A. Keane (Expert Syst. Appl., 2021)

HyperTime: Implicit Neural Representation for Time Series. - Elizabeth Fons; Alejandro Sztrajman; Yousef El-Laham; Alexandros Iosifidis; Svitlana Vyetrenko (CoRR, 2022)

Multi-Modal Financial Time-Series Retrieval Through Latent Space Projections. - Tom Bamford; Andrea Coletta; Elizabeth Fons; Sriram Gopalakrishnan; Svitlana Vyetrenko; Tucker Balch; Manuela Veloso (ICAIF, 2023)

Deep Gaussian mixture ensembles. - Yousef El-Laham; Niccolò Dalmasso; Elizabeth Fons; Svitlana Vyetrenko (UAI, 2023)

MADS: Modulated Auto-Decoding SIREN for time series imputation. - Tom Bamford; Elizabeth Fons; Yousef El-Laham; Svitlana Vyetrenko (CoRR, 2023)

Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark. - Elizabeth Fons; Rachneet Kaur; Soham Palande; Zhen Zeng; Tucker Balch; Manuela Veloso; Svitlana Vyetrenko (EMNLP, 2024)

TADACap: Time-series Adaptive Domain-Aware Captioning. - Elizabeth Fons; Rachneet Kaur; Zhen Zeng; Soham Palande; Tucker Balch; Svitlana Vyetrenko; Manuela Veloso (ICAIF, 2024)

Augment on Manifold: Mixup Regularization with UMAP. - Yousef El-Laham; Elizabeth Fons; Dillon Daudert; Svitlana Vyetrenko (ICASSP, 2024)

Synthetic Data Applications in Finance. - Vamsi K. Potluru; Daniel Borrajo; Andrea Coletta; Niccolò Dalmasso; Yousef El-Laham; Elizabeth Fons; Mohsen Ghassemi; Sriram Gopalakrishnan; Vikesh Gosai; Eleonora Kreacic; Ganapathy Mani; Saheed Obitayo; et al. (CoRR, 2024)

Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark. - Elizabeth Fons; Rachneet Kaur; Soham Palande; Zhen Zeng; Svitlana Vyetrenko; Tucker Balch (CoRR, 2024)

A Language Model-Guided Framework for Mining Time Series with Distributional Shifts. - Haibei Zhu; Yousef El-Laham; Elizabeth Fons; Svitlana Vyetrenko (CoRR, 2024)

iHyperTime: Interpretable Time Series Generation with Implicit Neural Representations. - Elizabeth Fons; Alejandro Sztrajman; Yousef El-Laham; Andrea Coletta; Alexandros Iosifidis; Svitlana Vyetrenko (Trans. Mach. Learn. Res., 2024)

LSCD: Lomb-Scargle Conditioned Diffusion for Time series Imputation. - Elizabeth Fons; Alejandro Sztrajman; Yousef El-Laham; Luciana Ferrer; Svitlana Vyetrenko; Manuela Veloso (CoRR, 2025)

AI Analyst: Framework and Comprehensive Evaluation of Large Language Models for Financial Time Series Report Generation. - Elizabeth Fons; Elena Kochkina; Rachneet Kaur; Zhen Zeng; Berowne Hlavaty; Charese Smiley; Svitlana Vyetrenko; Manuela Veloso (CoRR, 2025)