Nawshad Farruque

According to our database, Nawshad Farruque authored at least 16 papers between 2014 and 2024.

Collaborative distances:

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

2024

Depression symptoms modelling from social media text: an LLM driven semi-supervised learning approach.

Nawshad Farruque, Randy Goebel, Sudhakar Sivapalan, Osmar R. Zaïane

Lang. Resour. Evaluation, September, 2024

Deep temporal modelling of clinical depression through social media text.

Nawshad Farruque, Randy Goebel, Sudhakar Sivapalan, Osmar Zaïane

Nat. Lang. Process. J., 2024

2022

Depression Symptoms Modelling from Social Media Text: A Semi-supervised Learning Approach.

Nawshad Farruque, Randy Goebel, Sudhakar Sivapalan, Osmar Zaïane

CoRR, 2022

DeepBlues@LT-EDI-ACL2022: Depression level detection modelling through domain specific BERT and short text Depression classifiers.

Nawshad Farruque, Osmar Zaïane, Randy Goebel, Sudhakar Sivapalan

Proceedings of the Second Workshop on Language Technology for Equality, 2022

2021

A Multi-Component Framework for the Analysis and Design of Explainable Artificial Intelligence.

Mi-Young Kim, Shahin Atakishiyev, Housam Khalifa Bashier Babiker, Nawshad Farruque, Randy Goebel, Osmar R. Zaïane, Mohammad H. Motallebi, Juliano Rabelo, Talat Iqba Syed, Hengshuai Yao, Peter Chun

Mach. Learn. Knowl. Extr., 2021

A comprehensive empirical analysis on cross-domain semantic enrichment for detection of depressive language.

Nawshad Farruque, Randy Goebel, Osmar Zaïane

CoRR, 2021

STEP-EZ: Syntax Tree guided semantic ExPlanation for Explainable Zero-shot modeling of clinical depression symptoms from text.

Nawshad Farruque, Randy Goebel, Osmar Zaïane, Sudhakar Sivapalan

CoRR, 2021

Basic and Depression Specific Emotion Identification in Tweets: Multi-label Classification Experiments.

Nawshad Farruque, Chenyang Huang, Osmar R. Zaïane, Randy Goebel

CoRR, 2021

Seq2Emo: A Sequence to Multi-Label Emotion Classification Model.

Chenyang Huang, Amine Trabelsi, Xuebin Qin, Nawshad Farruque, Lili Mou, Osmar R. Zaïane

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Analysis of COVID-19 Misinformation in Social Media using Transfer Learning.

Abhishek Dhankar, Hamman Samuel, Fahim Hassan, Nawshad Farruque, François Bolduc, Osmar Zaïane

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Explainable Zero-Shot Modelling of Clinical Depression Symptoms from Text.

Nawshad Farruque, Randy Goebel, Osmar R. Zaïane, Sudhakar Sivapalan

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020

A multi-component framework for the analysis and design of explainable artificial intelligence.

Shahin Atakishiyev, Housam Khalifa Bashier Babiker, Nawshad Farruque, Randy Goebel, M.-Y. Kima, Mohammad H. Motallebi, Juliano Rabelo, Talat Iqba Syed, Osmar R. Zaïane

CoRR, 2020

2019

Seq2Emo for Multi-label Emotion Classification Based on Latent Variable Chains Transformation.

Chenyang Huang, Amine Trabelsi, Xuebin Qin, Nawshad Farruque, Osmar R. Zaïane

CoRR, 2019

Augmenting Semantic Representation of Depressive Language: From Forums to Microblogs.

Nawshad Farruque, Osmar R. Zaïane, Randy Goebel

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Basic and Depression Specific Emotions Identification in Tweets: Multi-label Classification Experiments.

Nawshad Farruque, Chenyang Huang, Osmar Zaïane, Randy Goebel

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2019

2014

Efficient Distributed Spatial Semijoins and Their Application in Multiple-Site Queries.

Nawshad Farruque, Wendy Osborn

Proceedings of the 28th IEEE International Conference on Advanced Information Networking and Applications, 2014