activity
20182025
most citedImproving Position Encoding of Transformers for Multivariate Time Series Classification

233 citations · 298 across the 16 of their papers we have counts for

collaborators

17 papers

cs.AI2025

Taming the Real-world Complexities in CPT E/M Coding with Large Language Models

Islam Nassar, Yang Lin, Yuan Jin +8

Evaluation and Management (E/M) coding, under the Current Procedural Terminology (CPT) taxonomy, documents medical services provided to patients by physicians. Used primarily for b…

cs.LG2025

MONSTER: Monash Scalable Time Series Evaluation Repository

Angus Dempster, Navid Mohammadi Foumani, Chang Wei Tan +6

We introduce MONSTER-the MONash Scalable Time Series Evaluation Repository-a collection of large datasets for time series classification. The field of time series classification ha…

cs.CL2024

MTP: A Dataset for Multi-Modal Turning Points in Casual Conversations

Gia-Bao Dinh Ho, Chang Wei Tan, Zahra Zamanzadeh Darban +3

Detecting critical moments, such as emotional outbursts or changes in decisions during conversations, is crucial for understanding shifts in human behavior and their consequences.…

cs.LG2023★ 2 cited

Series2Vec: Similarity-based Self-supervised Representation Learning for Time Series Classification

Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb +2

We argue that time series analysis is fundamentally different in nature to either vision or natural language processing with respect to the forms of meaningful self-supervised lear…

cs.LG2023★ 233 cited

Improving Position Encoding of Transformers for Multivariate Time Series Classification

Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb +1

Transformers have demonstrated outstanding performance in many applications of deep learning. When applied to time series data, transformers require effective position encoding to…

stat.ME2023★ 12 cited

An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set

Ali Ismail-Fawaz, Angus Dempster, Chang Wei Tan +8

The measurement of progress using benchmarks evaluations is ubiquitous in computer science and machine learning. However, common approaches to analyzing and presenting the results…