Nawshad Farruque

19 papers B 2C 1Journal 12Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Explainability of Large Language Models: Opportunities and Challenges toward Generating Trustworthy Explanations. CoRR Shahin Atakishiyev, Housam Khalifa Bashier Babiker, Jiayi Dai, Nawshad Farruque, Teruaki Hayashi, Nafisa Sadaf Hriti, Md. Abed Rahman, Iain Smith, Mi-Young Kim, Osmar R. Zaïane, Randy Goebel
2024	J	`jnl`	Deep temporal modelling of clinical depression through social media text. Nat. Lang. Process. J. Nawshad Farruque, Randy Goebel, Sudhakar Sivapalan, Osmar Zaïane
2024	J	`jnl`	Depression symptoms modelling from social media text: an LLM driven semi-supervised learning approach. Lang. Resour. Evaluation Nawshad Farruque, Randy Goebel, Sudhakar Sivapalan, Osmar R. Zaïane
2024	J	`jnl`	StructTest: Benchmarking LLMs' Reasoning through Compositional Structured Outputs. CoRR Hailin Chen, Fangkai Jiao, Mathieu Ravaut, Nawshad Farruque, Xuan-Phi Nguyen, Chengwei Qin, Manan Dey, Bosheng Ding, Caiming Xiong, Shafiq Joty, Yingbo Zhou
2022	J	`jnl`	Deep Temporal Modelling of Clinical Depression through Social Media Text. CoRR Nawshad Farruque, Randy Goebel, Sudhakar Sivapalan, Osmar R. Zaïane
2022	—	`conf`	DeepBlues@LT-EDI-ACL2022: Depression level detection modelling through domain specific BERT and short text Depression classifiers. LT-EDI Nawshad Farruque, Osmar Zaïane, Randy Goebel, Sudhakar Sivapalan
2022	J	`jnl`	Depression Symptoms Modelling from Social Media Text: A Semi-supervised Learning Approach. CoRR Nawshad Farruque, Randy Goebel, Sudhakar Sivapalan, Osmar Zaïane
2021	J	`jnl`	A Multi-Component Framework for the Analysis and Design of Explainable Artificial Intelligence. Mach. Learn. Knowl. Extr. 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
2021	J	`jnl`	A comprehensive empirical analysis on cross-domain semantic enrichment for detection of depressive language. CoRR Nawshad Farruque, Randy Goebel, Osmar Zaïane
2021	B	`conf`	Analysis of COVID-19 Misinformation in Social Media using Transfer Learning. ICTAI Abhishek Dhankar, Hamman Samuel, Fahim Hassan, Nawshad Farruque, François Bolduc, Osmar Zaïane
2021	J	`jnl`	Basic and Depression Specific Emotion Identification in Tweets: Multi-label Classification Experiments. CoRR Nawshad Farruque, Chenyang Huang, Osmar R. Zaïane, Randy Goebel
2021	C	`conf`	Explainable Zero-Shot Modelling of Clinical Depression Symptoms from Text. ICMLA Nawshad Farruque, Randy Goebel, Osmar R. Zaïane, Sudhakar Sivapalan
2021	J	`jnl`	STEP-EZ: Syntax Tree guided semantic ExPlanation for Explainable Zero-shot modeling of clinical depression symptoms from text. CoRR Nawshad Farruque, Randy Goebel, Osmar Zaïane, Sudhakar Sivapalan
2021	—	`conf`	Seq2Emo: A Sequence to Multi-Label Emotion Classification Model. NAACL-HLT Chenyang Huang, Amine Trabelsi, Xuebin Qin, Nawshad Farruque, Lili Mou, Osmar R. Zaïane
2020	J	`jnl`	A multi-component framework for the analysis and design of explainable artificial intelligence. CoRR Shahin Atakishiyev, Housam Khalifa Bashier Babiker, Nawshad Farruque, Randy Goebel, M.-Y. Kima, Mohammad H. Motallebi, Juliano Rabelo, Talat Iqba Syed, Osmar R. Zaïane
2019	—	`conf`	Augmenting Semantic Representation of Depressive Language: From Forums to Microblogs. ECML/PKDD (3) Nawshad Farruque, Osmar R. Zaïane, Randy Goebel
2019	—	`conf`	Basic and Depression Specific Emotions Identification in Tweets: Multi-label Classification Experiments. CICLing (2) Nawshad Farruque, Chenyang Huang, Osmar Zaïane, Randy Goebel
2019	J	`jnl`	Seq2Emo for Multi-label Emotion Classification Based on Latent Variable Chains Transformation. CoRR Chenyang Huang, Amine Trabelsi, Xuebin Qin, Nawshad Farruque, Osmar R. Zaïane
2014	B	`conf`	Efficient Distributed Spatial Semijoins and Their Application in Multiple-Site Queries. AINA Nawshad Farruque, Wendy Osborn