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ORCIDElizabeth Fons
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2020 – today
- 2024
[c5]Elizabeth Fons, Rachneet Kaur, Soham Palande, Zhen Zeng, Tucker Balch, Manuela Veloso, Svitlana Vyetrenko:
Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark. EMNLP 2024: 21598-21634- [c4]Yousef El-Laham, Elizabeth Fons, Dillon Daudert, Svitlana Vyetrenko:
Augment on Manifold: Mixup Regularization with UMAP. ICASSP 2024: 7040-7044 - [i11]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, Deepak Paramanand, Natraj Raman, Mikhail Solonin, Srijan Sood, Svitlana Vyetrenko, Haibei Zhu, Manuela Veloso, Tucker Balch:
Synthetic Data Applications in Finance. CoRR abs/2401.00081 (2024) - [i10]Elizabeth Fons, Rachneet Kaur, Soham Palande, Zhen Zeng, Svitlana Vyetrenko, Tucker Balch:
Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark. CoRR abs/2404.16563 (2024) - [i9]Haibei Zhu, Yousef El-Laham, Elizabeth Fons, Svitlana Vyetrenko:
A Language Model-Guided Framework for Mining Time Series with Distributional Shifts. CoRR abs/2406.05249 (2024) - 2023
- [c3]Tom Bamford
, Andrea Coletta, Elizabeth Fons, Sriram Gopalakrishnan, Svitlana Vyetrenko, Tucker Balch, Manuela Veloso:
Multi-Modal Financial Time-Series Retrieval Through Latent Space Projections. ICAIF 2023: 498-506 - [c2]Yousef El-Laham, Niccolò Dalmasso, Elizabeth Fons, Svitlana Vyetrenko:
Deep Gaussian mixture ensembles. UAI 2023: 549-559 - [i8]Yousef El-Laham, Niccolò Dalmasso, Elizabeth Fons, Svitlana Vyetrenko:
Deep Gaussian Mixture Ensembles. CoRR abs/2306.07235 (2023) - [i7]Tom Bamford, Elizabeth Fons, Yousef El-Laham, Svitlana Vyetrenko:
MADS: Modulated Auto-Decoding SIREN for time series imputation. CoRR abs/2307.00868 (2023) - [i6]Tom Bamford, Andrea Coletta, Elizabeth Fons, Sriram Gopalakrishnan, Svitlana Vyetrenko, Tucker Balch, Manuela Veloso:
Multi-Modal Financial Time-Series Retrieval Through Latent Space Projections. CoRR abs/2309.16741 (2023) - [i5]Yousef El-Laham, Elizabeth Fons, Dillon Daudert, Svitlana Vyetrenko:
Augment on Manifold: Mixup Regularization with UMAP. CoRR abs/2312.13141 (2023) - 2022
- [i4]Elizabeth Fons, Alejandro Sztrajman, Yousef El-Laham, Alexandros Iosifidis, Svitlana Vyetrenko:
HyperTime: Implicit Neural Representation for Time Series. CoRR abs/2208.05836 (2022) - 2021
- [j1]Elizabeth Fons, Paula Dawson, Jeffrey Yau, Xiao-Jun Zeng, John A. Keane:
A novel dynamic asset allocation system using Feature Saliency Hidden Markov models for smart beta investing. Expert Syst. Appl. 163: 113720 (2021) - [c1]Elizabeth Fons, Paula Dawson, Xiao-Jun Zeng, John A. Keane, Alexandros Iosifidis:
Augmenting Transferred Representations for Stock Classification. ICASSP 2021: 3915-3919 - [i3]Elizabeth Fons, Paula Dawson, Xiao-Jun Zeng, John A. Keane, Alexandros Iosifidis:
Adaptive Weighting Scheme for Automatic Time-Series Data Augmentation. CoRR abs/2102.08310 (2021) - 2020
- [i2]Elizabeth Fons, Paula Dawson, Xiao-Jun Zeng, John A. Keane, Alexandros Iosifidis:
Evaluating data augmentation for financial time series classification. CoRR abs/2010.15111 (2020)
2010 – 2019
- 2019
- [i1]Elizabeth Fons, Paula Dawson, Jeffrey Yau, Xiao-Jun Zeng, John A. Keane:
A novel dynamic asset allocation system using Feature Saliency Hidden Markov models for smart beta investing. CoRR abs/1902.10849 (2019)
Coauthor Index
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