Navid Mohammadi Foumani

According to our database, Navid Mohammadi Foumani authored at least 10 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

KnowEEG: Explainable Knowledge Driven EEG Classification.

Amarpal Sahota, Navid Mohammadi Foumani, Raúl Santos-Rodríguez, Zahraa S. Abdallah

CoRR, May, 2025

MONSTER: Monash Scalable Time Series Evaluation Repository.

Angus Dempster, Navid Mohammadi Foumani, Chang Wei Tan, Lynn Miller, Amish Mishra, Mahsa Salehi, Charlotte Pelletier, Daniel F. Schmidt, Geoffrey I. Webb

CoRR, February, 2025

2024

Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey.

Navid Mohammadi Foumani, Lynn Miller, Chang Wei Tan, Geoffrey I. Webb, Germain Forestier, Mahsa Salehi

ACM Comput. Surv., September, 2024

Series2vec: similarity-based self-supervised representation learning for time series classification.

Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Hamid Rezatofighi, Mahsa Salehi

Data Min. Knowl. Discov., July, 2024

Improving position encoding of transformers for multivariate time series classification.

Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Mahsa Salehi

Data Min. Knowl. Discov., January, 2024

Measuring Affective and Motivational States as Conditions for Cognitive and Metacognitive Processing in Self-Regulated Learning.

Mladen Rakovic, Yuheng Li, Navid Mohammadi Foumani, Mahsa Salehi, Levin Kuhlmann, Geoffrey Mackellar, Roberto Martínez Maldonado, Gholamreza Haffari, Zachari Swiecki, Xinyu Li, Guanliang Chen, Dragan Gasevic

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs.

Navid Mohammadi Foumani, Geoffrey Mackellar, Soheila Ghane, Saad Irtza, Nam Nguyen, Mahsa Salehi

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Highly Scalable Time Series Classification for Very Large Datasets.

Angus Dempster, Chang Wei Tan, Lynn Miller, Navid Mohammadi Foumani, Daniel F. Schmidt, Geoffrey I. Webb

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2024

2021

Disjoint-CNN for Multivariate Time Series Classification.

Seyed Navid Mohammadi Foumani, Chang Wei Tan, Mahsa Salehi

Proceedings of the 2021 International Conference on Data Mining, 2021

2019

A probabilistic topic model using deep visual word representation for simultaneous image classification and annotation.

Seyed Navid Mohammadi Foumani, Ahmad Nickabadi

J. Vis. Commun. Image Represent., 2019