27 citations · 33 across the 7 of their papers we have counts for
4 papers · 1 filter
DyWPE: Signal-Aware Dynamic Wavelet Positional Encoding for Time Series Transformers
Habib Irani, Vangelis Metsis
Existing positional encoding methods in transformers are fundamentally signal-agnostic, deriving positional information solely from sequence indices while ignoring the underlying s…
A Systematic Evaluation of LLM Strategies for Mental Health Text Analysis: Fine-tuning vs. Prompt Engineering vs. RAG
Arshia Kermani, Veronica Perez-Rosas, Vangelis Metsis
This study presents a systematic comparison of three approaches for the analysis of mental health text using large language models (LLMs): prompt engineering, retrieval augmented g…
Positional Encoding in Transformer-Based Time Series Models: A Survey
Habib Irani, Vangelis Metsis
Recent advancements in transformer-based models have greatly improved time series analysis, providing robust solutions for tasks such as forecasting, anomaly detection, and classif…
Time Series Embedding Methods for Classification Tasks: A Review
Habib Irani, Yasamin Ghahremani, Arshia Kermani +1
Time series analysis has become crucial in various fields, from engineering and finance to healthcare and social sciences. Due to their multidimensional nature, time series often n…