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ORCIDNawshad Farruque
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2020 – today
- 2024
[j3]Nawshad Farruque, Randy Goebel, Sudhakar Sivapalan, Osmar R. Zaïane:
Depression symptoms modelling from social media text: an LLM driven semi-supervised learning approach. Lang. Resour. Evaluation 58(3): 1013-1041 (2024)- [j2]Nawshad Farruque
, Randy Goebel, Sudhakar Sivapalan, Osmar Zaïane:
Deep temporal modelling of clinical depression through social media text. Nat. Lang. Process. J. 6: 100052 (2024) - [i8]Hailin Chen, Fangkai Jiao, Mathieu Ravaut, Nawshad Farruque, Xuan-Phi Nguyen, Chengwei Qin, Manan Dey, Bosheng Ding, Caiming Xiong, Shafiq Joty, Yingbo Zhou:
StructTest: Benchmarking LLMs' Reasoning through Compositional Structured Outputs. CoRR abs/2412.18011 (2024) - 2022
- [c7]Nawshad Farruque, Osmar Zaïane, Randy Goebel, Sudhakar Sivapalan:
DeepBlues@LT-EDI-ACL2022: Depression level detection modelling through domain specific BERT and short text Depression classifiers. LT-EDI 2022: 167-171 - [i7]Nawshad Farruque, Randy Goebel, Sudhakar Sivapalan, Osmar Zaïane:
Depression Symptoms Modelling from Social Media Text: A Semi-supervised Learning Approach. CoRR abs/2209.02765 (2022) - [i6]Nawshad Farruque, Randy Goebel, Sudhakar Sivapalan, Osmar R. Zaïane:
Deep Temporal Modelling of Clinical Depression through Social Media Text. CoRR abs/2211.07717 (2022) - 2021
- [j1]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:
A Multi-Component Framework for the Analysis and Design of Explainable Artificial Intelligence. Mach. Learn. Knowl. Extr. 3(4): 900-921 (2021) - [c6]Nawshad Farruque, Randy Goebel, Osmar R. Zaïane, Sudhakar Sivapalan:
Explainable Zero-Shot Modelling of Clinical Depression Symptoms from Text. ICMLA 2021: 1472-1477 - [c5]Abhishek Dhankar, Hamman Samuel, Fahim Hassan, Nawshad Farruque, François Bolduc, Osmar Zaïane:
Analysis of COVID-19 Misinformation in Social Media using Transfer Learning. ICTAI 2021: 880-885 - [c4]Chenyang Huang, Amine Trabelsi, Xuebin Qin, Nawshad Farruque, Lili Mou, Osmar R. Zaïane:
Seq2Emo: A Sequence to Multi-Label Emotion Classification Model. NAACL-HLT 2021: 4717-4724 - [i5]Nawshad Farruque, Chenyang Huang, Osmar R. Zaïane, Randy Goebel:
Basic and Depression Specific Emotion Identification in Tweets: Multi-label Classification Experiments. CoRR abs/2105.12364 (2021) - [i4]Nawshad Farruque, Randy Goebel, Osmar Zaïane, Sudhakar Sivapalan:
STEP-EZ: Syntax Tree guided semantic ExPlanation for Explainable Zero-shot modeling of clinical depression symptoms from text. CoRR abs/2106.10928 (2021) - [i3]Nawshad Farruque, Randy Goebel, Osmar Zaïane:
A comprehensive empirical analysis on cross-domain semantic enrichment for detection of depressive language. CoRR abs/2106.12797 (2021) - 2020
- [i2]Shahin Atakishiyev, Housam Khalifa Bashier Babiker, Nawshad Farruque, Randy Goebel, M.-Y. Kima, Mohammad H. Motallebi, Juliano Rabelo, Talat Iqba Syed, Osmar R. Zaïane:
A multi-component framework for the analysis and design of explainable artificial intelligence. CoRR abs/2005.01908 (2020)
2010 – 2019
- 2019
- [c3]Nawshad Farruque, Chenyang Huang, Osmar Zaïane, Randy Goebel:
Basic and Depression Specific Emotions Identification in Tweets: Multi-label Classification Experiments. CICLing (2) 2019: 293-306 - [c2]Nawshad Farruque, Osmar R. Zaïane, Randy Goebel:
Augmenting Semantic Representation of Depressive Language: From Forums to Microblogs. ECML/PKDD (3) 2019: 359-375 - [i1]Chenyang Huang, Amine Trabelsi, Xuebin Qin, Nawshad Farruque, Osmar R. Zaïane:
Seq2Emo for Multi-label Emotion Classification Based on Latent Variable Chains Transformation. CoRR abs/1911.02147 (2019) - 2014
- [c1]Nawshad Farruque, Wendy Osborn:
Efficient Distributed Spatial Semijoins and Their Application in Multiple-Site Queries. AINA 2014: 1089-1096
Coauthor Index
aka: Osmar Zaïane
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