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2020 – today
- 2024
[j34]Muhammad Salman
, Armin Haller, Sergio José Rodríguez Méndez, Usman Naseem:
Doc-KG: Unstructured documents to knowledge graph construction, identification and validation with Wikidata. Expert Syst. J. Knowl. Eng. 41(9) (2024)- [j33]Usman Naseem, Surendrabikram Thapa, Qi Zhang, Shoujin Wang, Junaid Rashid, Liang Hu, Amir Hussain:
Graph learning with label attention and hyperbolic embedding for temporal event prediction in healthcare. Neurocomputing 592: 127736 (2024) - [j32]Usman Naseem, Surendrabikram Thapa, Qi Zhang, Liang Hu, Junaid Rashid, Mehwish Nasim:
Incorporating historical information by disentangling hidden representations for mental health surveillance on social media. Soc. Netw. Anal. Min. 14(1): 9 (2024) - [j31]Wenpeng Lu, Sibo Wei, Xueping Peng, Yi-Fei Wang, Usman Naseem, Shoujin Wang:
Medical Question Summarization with Entity-driven Contrastive Learning. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23(4): 56 (2024) - [j30]Usman Naseem, Matloob Khushi, Jinman Kim, Adam G. Dunn:
Hybrid Text Representation for Explainable Suicide Risk Identification on Social Media. IEEE Trans. Comput. Soc. Syst. 11(4): 4663-4672 (2024) - [j29]Usman Naseem, Matloob Khushi, Adam G. Dunn, Jinman Kim:
K-PathVQA: Knowledge-Aware Multimodal Representation for Pathology Visual Question Answering. IEEE J. Biomed. Health Informatics 28(4): 1886-1895 (2024) - [j28]Denghui Zhang, Muhammad Shafiq, Keke Tang, Usman Naseem:
Multi-Resolution Wavelet Fractal Analysis and Subtask Training for Enhancing Few-Shot Noisy Brainwave Recognition. IEEE J. Biomed. Health Informatics 28(7): 3841-3850 (2024) - [j27]Qi Zhang, Yayi Yang, Chongyang Shi, An Lao, Liang Hu, Shoujin Wang, Usman Naseem:
Rumor Detection With Hierarchical Representation on Bipartite Ad Hoc Event Trees. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14112-14124 (2024) - [c59]Surendrabikram Thapa, Kritesh Rauniyar, Farhan Jafri, Hariram Veeramani, Raghav Jain, Sandesh Jain, Francielle Vargas, Ali Hürriyetoglu, Usman Naseem:
Extended Multimodal Hate Speech Event Detection During Russia-Ukraine Crisis - Shared Task at CASE 2024. CASE 2024: 221-228 - [c58]Surendrabikram Thapa, Kritesh Rauniyar, Farhan Jafri, Shuvam Shiwakoti, Hariram Veeramani, Raghav Jain, Guneet Singh Kohli, Ali Hürriyetoglu, Usman Naseem:
Stance and Hate Event Detection in Tweets Related to Climate Activism - Shared Task at CASE 2024. CASE 2024: 234-247 - [c57]Shuvam Shiwakoti, Surendrabikram Thapa, Kritesh Rauniyar, Akshyat Shah, Aashish Bhandari, Usman Naseem:
Analyzing the Dynamics of Climate Change Discourse on Twitter: A New Annotated Corpus and Multi-Aspect Classification. LREC/COLING 2024: 984-994 - [c56]Anum Masood, Usman Naseem, Junaid Rashid, Imran Razzak:
Automated Detection and Segmentation of Glioblastoma in MRI Using Multi-Level Diffusion Transformer U-Net. ISBI 2024: 1-4 - [c55]Sadam Hussain, Mansoor Ali Teevno, Usman Naseem, Beatriz Alejandra Bosques Palomo, Mario Alexis Monsivais Molina, Jorge Alberto Garza Abdala, Daly Betzabeth Avendano Avalos, Servando Cardona-Huerta, T. Aaron Gulliver, José Gerardo Tamez-Peña:
Performance Evaluation of Deep Learning and Transformer Models Using Multimodal Data for Breast Cancer Classification. CaPTion@MICCAI 2024: 59-69 - [c54]Usman Naseem, Adam G. Dunn, Matloob Khushi, Jinman Kim:
Vaccine Misinformation Detection in X using Cooperative Multimodal Framework. ACM Multimedia 2024: 4034-4042 - [c53]Han Wang, Tan Rui Yang, Usman Naseem, Roy Ka-Wei Lee:
MultiHateClip: A Multilingual Benchmark Dataset for Hateful Video Detection on YouTube and Bilibili. ACM Multimedia 2024: 7493-7502 - [c52]Shouyu Chen, Liang Hu, Tangwei Ye, Zhongyuan Lai, Qi Zhang, Ke Liu, Usman Naseem, Ke Sun, Nengjun Zhu:
VR-DiagNet: Medical Volumetric and Radiomic Diagnosis Networks with Interpretable Clinician-like Optimizing Visual Inspection. ACM Multimedia 2024: 10459-10467 - [c51]Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn:
A Linguistic Grounding-Infused Contrastive Learning Approach for Health Mention Classification on Social Media. WSDM 2024: 529-537 - [c50]Faseela Abdullakutty, Usman Naseem:
Decoding Memes: A Comprehensive Analysis of Late and Early Fusion Models for Explainable Meme Analysis. WWW (Companion Volume) 2024: 1681-1689 - [c49]Surendrabikram Thapa, Usman Naseem, Roy Ka-Wei Lee, Mehwish Nasim:
Foreword for the First International Workshop on Multimodal Content Analysis for Social Good (MM4SG 2024). WWW (Companion Volume) 2024: 1803-1804 - [c48]Surendrabikram Thapa, Farhan Ahmad Jafri, Kritesh Rauniyar, Mehwish Nasim, Usman Naseem:
RUHate-MM: Identification of Hate Speech and Targets using Multimodal Data from Russia-Ukraine Crisis. WWW (Companion Volume) 2024: 1854-1863 - [c47]Shijing Chen, Usman Naseem, Imran Razzak, Flora D. Salim:
Unveiling Misogyny Memes: A Multimodal Analysis of Modality Effects on Identification. WWW (Companion Volume) 2024: 1864-1871 - [c46]Liang Xiao, Qi Zhang, Chongyang Shi, Shoujin Wang, Usman Naseem, Liang Hu:
MSynFD: Multi-hop Syntax Aware Fake News Detection. WWW 2024: 4128-4137 - [c45]Junhui Ji, Xuanrui Lin, Usman Naseem:
CapAlign: Improving Cross Modal Alignment via Informative Captioning for Harmful Meme Detection. WWW 2024: 4585-4594 - [i22]Hessa Abdulrahman Alawwad, Areej Alhothali, Usman Naseem, Ali Alkhathlan, Amani T. Jamal:
Enhancing Textbook Question Answering Task with Large Language Models and Retrieval Augmented Generation. CoRR abs/2402.05128 (2024) - [i21]Hariram Veeramani, Surendrabikram Thapa, Usman Naseem:
Enhancing ESG Impact Type Identification through Early Fusion and Multilingual Models. CoRR abs/2402.10772 (2024) - [i20]Liang Xiao, Qi Zhang, Chongyang Shi, Shoujin Wang, Usman Naseem, Liang Hu:
MSynFD: Multi-hop Syntax aware Fake News Detection. CoRR abs/2402.14834 (2024) - [i19]Guangyin Bao, Zixuan Gong, Qi Zhang, Jialei Zhou, Wei Fan, Kun Yi, Usman Naseem, Liang Hu, Duoqian Miao:
Wills Aligner: A Robust Multi-Subject Brain Representation Learner. CoRR abs/2404.13282 (2024) - [i18]Zehui Zhao, Laith Alzubaidi, Jinglan Zhang, Ye Duan, Usman Naseem, Yuantong Gu:
An Experimental Comparison of Transfer Learning against Self-supervised Learning. CoRR abs/2407.05592 (2024) - [i17]Zehui Zhao, Laith Alzubaidi, Jinglan Zhang, Ye Duan, Usman Naseem, Yuantong Gu:
Robust and Explainable Framework to Address Data Scarcity in Diagnostic Imaging. CoRR abs/2407.06566 (2024) - [i16]Md. Arid Hasan, Prerona Tarannum, Krishno Dey, Imran Razzak, Usman Naseem:
Do Large Language Models Speak All Languages Equally? A Comparative Study in Low-Resource Settings. CoRR abs/2408.02237 (2024) - [i15]Han Wang, Tan Rui Yang, Usman Naseem, Roy Ka-Wei Lee:
MultiHateClip: A Multilingual Benchmark Dataset for Hateful Video Detection on YouTube and Bilibili. CoRR abs/2408.03468 (2024) - [i14]Jinzhi Shan, Qi Zhang, Chongyang Shi, Mengting Gui, Shoujin Wang, Usman Naseem:
Structural Representation Learning and Disentanglement for Evidential Chinese Patent Approval Prediction. CoRR abs/2408.12852 (2024) - [i13]Jiahao Yuan, Zixiang Di, Zhiqing Cui, Guisong Yang, Usman Naseem:
ReflectDiffu:Reflect between Emotion-intent Contagion and Mimicry for Empathetic Response Generation via a RL-Diffusion Framework. CoRR abs/2409.10289 (2024) - 2023
- [j26]Kritesh Rauniyar, Sweta Poudel, Shuvam Shiwakoti, Surendrabikram Thapa, Junaid Rashid, Jungeun Kim, Muhammad Imran, Usman Naseem:
Multi-Aspect Annotation and Analysis of Nepali Tweets on Anti-Establishment Election Discourse. IEEE Access 11: 143092-143115 (2023) - [j25]Abdullah Yahya Mohammed Muaad, Shaina Raza, Usman Naseem, Hanumanthappa J. Jayappa Davanagere:
Arabic text detection: a survey of recent progress challenges and opportunities. Appl. Intell. 53(24): 29845-29862 (2023) - [j24]Sadam Hussain, Yareth Lafarga-Osuna, Mansoor Ali, Usman Naseem, Masroor Ahmed, José Gerardo Tamez-Peña:
Deep learning, radiomics and radiogenomics applications in the digital breast tomosynthesis: a systematic review. BMC Bioinform. 24(1): 401 (2023) - [j23]Sundas Rukhsar, Mazhar Javed Awan, Usman Naseem, Dilovan Asaad Zebari, Mazin Abed Mohammed, Marwan Ali Albahar, Mohammed I. Thanoon, Amena Mahmoud:
Artificial Intelligence Based Sentence Level Sentiment Analysis of COVID-19. Comput. Syst. Sci. Eng. 47(1): 791-807 (2023) - [j22]Surabhi Adhikari, Surendrabikram Thapa, Usman Naseem, Hai Ya Lu, Gnana Bharathy, Mukesh Prasad:
Explainable hybrid word representations for sentiment analysis of financial news. Neural Networks 164: 115-123 (2023) - [j21]Junaid Rashid, Jungeun Kim, Amir Hussain, Usman Naseem:
WETM: A word embedding-based topic model with modified collapsed Gibbs sampling for short text. Pattern Recognit. Lett. 172: 158-164 (2023) - [j20]Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn:
Robust Identification of Figurative Language in Personal Health Mentions on Twitter. IEEE Trans. Artif. Intell. 4(2): 362-372 (2023) - [j19]Usman Naseem, Matloob Khushi, Jinman Kim, Adam G. Dunn:
RHMD: A Real-World Dataset for Health Mention Classification on Reddit. IEEE Trans. Comput. Soc. Syst. 10(5): 2325-2334 (2023) - [j18]Atika Qazi, Chiranjib Bhowmik, Fayaz Hussain, Shuiqing Yang, Usman Naseem, Adebayo Abayomi-Alli, Abdu Gumaei, Mabrook Al-Rakhami:
Analyzing the Public Opinion as a Guide for Renewable-Energy Status in Malaysia: A Case Study. IEEE Trans. Engineering Management 70(2): 371-385 (2023) - [j17]Usman Naseem, Matloob Khushi, Jinman Kim:
Vision-Language Transformer for Interpretable Pathology Visual Question Answering. IEEE J. Biomed. Health Informatics 27(4): 1681-1690 (2023) - [c44]Liang Hu, Dora D. Liu, Qi Zhang, Usman Naseem, Zhong Yuan Lai:
Self-Supervised Learning for Multilevel Skeleton-Based Forgery Detection via Temporal-Causal Consistency of Actions. AAAI 2023: 844-853 - [c43]Dora D. Liu, Liang Hu, Qi Zhang, Tangwei Ye, Usman Naseem, Zhong Yuan Lai:
A Dynamics and Task Decoupled Reinforcement Learning Architecture for High-Efficiency Dynamic Target Intercept. AAAI 2023: 12049-12057 - [c42]Kritesh Rauniyar, Shuvam Shiwakoti, Sweta Poudel, Surendrabikram Thapa, Usman Naseem, Mehwish Nasim:
Breaking Barriers: Exploring the Diagnostic Potential of Speech Narratives in Hindi for Alzheimer's Disease. ClinicalNLP@ACL 2023: 24-30 - [c41]Usman Naseem, Surendrabikram Thapa, Qi Zhang, Liang Hu, Anum Masood, Mehwish Nasim:
Reducing Knowledge Noise for Improved Semantic Analysis in Biomedical Natural Language Processing Applications. ClinicalNLP@ACL 2023: 272-277 - [c40]Han Wang, Nirmalendu Prakash, Nguyen-Khoi Hoang, Ming Shan Hee, Usman Naseem, Roy Ka-Wei Lee:
Prompting Large Language Models for Topic Modeling. IEEE Big Data 2023: 1236-1241 - [c39]Aashish Bhandari, Siddhant Bikram Shah, Surendrabikram Thapa, Usman Naseem, Mehwish Nasim:
CrisisHateMM: Multimodal Analysis of Directed and Undirected Hate Speech in Text-Embedded Images from Russia-Ukraine Conflict. CVPR Workshops 2023: 1994-2003 - [c38]Surendrabikram Thapa, Kritesh Rauniyar, Shuvam Shiwakoti, Sweta Poudel, Usman Naseem, Mehwish Nasim:
NEHATE: Large-Scale Annotated Data Shedding Light on Hate Speech in Nepali Local Election Discourse. ECAI 2023: 2346-2353 - [c37]Anum Masood, Usman Naseem, Jinman Kim:
Multi-Level Swin Transformer Enabled Automatic Segmentation and Classification of Breast Metastases. EMBC 2023: 1-4 - [c36]Jiachang Liu, Qi Zhang, Chongyang Shi, Usman Naseem, Shoujin Wang, Liang Hu, Ivor W. Tsang:
Causal Intervention for Abstractive Related Work Generation. EMNLP (Findings) 2023: 2148-2159 - [c35]Chongyang Shi, Yijun Yin, Qi Zhang, Liang Xiao, Usman Naseem, Shoujin Wang, Liang Hu:
Multiview Clickbait Detection via Jointly Modeling Subjective and Objective Preference. EMNLP (Findings) 2023: 11807-11816 - [c34]Hariram Veeramani, Surendrabikram Thapa, Usman Naseem:
Temporally Dynamic Session-Keyword Aware Sequential Recommendation System. ICDM (Workshops) 2023: 157-164 - [c33]Anum Masood, Usman Naseem, Imran Razzak:
Multi-Scale Swin Transformer Enabled Automatic Detection and Segmentation of Lung Metastases Using CT Images. ISBI 2023: 1-5 - [c32]Anum Masood, Usman Naseem, Mehwish Nasim:
Fully Automated CAD System for Lung Cancer Detection and Classification Using 3D Residual U-Net with multi-Region Proposal Network (mRPN) in CT Images. CaPTion@MICCAI 2023: 29-39 - [c31]Usman Naseem, Surendrabikram Thapa, Qi Zhang, Liang Hu, Mehwish Nasim:
MDKG: Graph-Based Medical Knowledge-Guided Dialogue Generation. SIGIR 2023: 2164-2168 - [c30]Hariram Veeramani, Surendrabikram Thapa, Usman Naseem:
KnowTellConvince at ArAIEval Shared Task: Disinformation and Persuasion Detection in Arabic using Similar and Contrastive Representation Alignment. ArabicNLP 2023: 519-524 - [c29]Hariram Veeramani, Surendrabikram Thapa, Usman Naseem:
DialectNLU at NADI 2023 Shared Task: Transformer Based Multitask Approach Jointly Integrating Dialect and Machine Translation Tasks in Arabic. ArabicNLP 2023: 614-619 - [c28]Hariram Veeramani, Surendrabikram Thapa, Usman Naseem:
LowResContextQA at Qur'an QA 2023 Shared Task: Temporal and Sequential Representation Augmented Question Answering Span Detection in Arabic. ArabicNLP 2023: 708-713 - [c27]Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn:
A Multimodal Framework for the Identification of Vaccine Critical Memes on Twitter. WSDM 2023: 706-714 - [c26]Junaid Rashid, Jungeun Kim, Usman Naseem:
Incorporating Embedding to Topic Modeling for More Effective Short Text Analysis. WWW (Companion Volume) 2023: 73-76 - [c25]Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu:
Tutorials at The Web Conference 2023. WWW (Companion Volume) 2023: 648-658 - [c24]Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn:
Graph-Based Hierarchical Attention Network for Suicide Risk Detection on Social Media. WWW (Companion Volume) 2023: 995-1003 - [c23]Tangwei Ye, Liang Hu, Qi Zhang, Zhong Yuan Lai, Usman Naseem, Dora D. Liu:
Show Me The Best Outfit for A Certain Scene: A Scene-aware Fashion Recommender System. WWW 2023: 1172-1180 - [c22]Junhui Ji, Wei Ren, Usman Naseem:
Identifying Creative Harmful Memes via Prompt based Approach. WWW 2023: 3868-3872 - [c21]Junaid Rashid, Jungeun Kim, Usman Naseem:
Coherent Topic Modeling for Creative Multimodal Data on Social Media. WWW 2023: 3923-3927 - [i12]Qi Zhang, Yayi Yang, Chongyang Shi, An Lao, Liang Hu, Shoujin Wang, Usman Naseem:
Rumor Detection with Hierarchical Representation on Bipartite Adhoc Event Trees. CoRR abs/2304.13895 (2023) - [i11]Jiachang Liu, Qi Zhang, Chongyang Shi, Usman Naseem, Shoujin Wang, Ivor W. Tsang:
Causal Intervention for Abstractive Related Work Generation. CoRR abs/2305.13685 (2023) - [i10]Farhan Ahmad Jafri, Mohammad Aman Siddiqui, Surendrabikram Thapa, Kritesh Rauniyar, Usman Naseem, Imran Razzak:
Uncovering Political Hate Speech During Indian Election Campaign: A New Low-Resource Dataset and Baselines. CoRR abs/2306.14764 (2023) - [i9]Han Wang, Nirmalendu Prakash, Nguyen-Khoi Hoang, Ming Shan Hee, Usman Naseem, Roy Ka-Wei Lee:
Prompting Large Language Models for Topic Modeling. CoRR abs/2312.09693 (2023) - 2022
- [j16]Usman Naseem, Junaid Rashid, Liaqat Ali, Jungeun Kim, Qazi Emad-ul-Haq, Mazhar Javed Awan, Muhammad Imran:
An Automatic Detection of Breast Cancer Diagnosis and Prognosis Based on Machine Learning Using Ensemble of Classifiers. IEEE Access 10: 78242-78252 (2022) - [j15]Wenjuan Ren, Dora D. Liu, Qian Li, Usman Naseem:
Newly-Published Paper Recommendation With a Joint Multi-Relational Model. IEEE Access 10: 123995-124001 (2022) - [j14]Khulla Naseer, Javaria Qazi, Atika Qazi, Bright Kwaku Avuglah, Rabail Tahir, Rasheed Abubakar Rasheed, Shah Khalid Khan, Baseer Ahmed Khan, Muhammad Zeeshan, Malik Asif Humayun, Usman Naseem:
Travel behaviour prediction amid covid-19 underlaying situational awareness theory and health belief model. Behav. Inf. Technol. 41(15): 3318-3328 (2022) - [j13]Usman Naseem, Adam G. Dunn, Matloob Khushi, Jinman Kim:
Benchmarking for biomedical natural language processing tasks with a domain specific ALBERT. BMC Bioinform. 23(1): 144 (2022) - [j12]Junaid Rashid, Jungeun Kim, Amir Hussain, Usman Naseem, Sapna Juneja:
A novel multiple kernel fuzzy topic modeling technique for biomedical data. BMC Bioinform. 23(1): 275 (2022) - [j11]Surabhi Adhikari, Surendrabikram Thapa, Usman Naseem, Priyanka Singh, Huan Huo, Gnana Bharathy, Mukesh Prasad:
Exploiting linguistic information from Nepali transcripts for early detection of Alzheimer's disease using natural language processing and machine learning techniques. Int. J. Hum. Comput. Stud. 160: 102761 (2022) - [c20]Usman Naseem, Ajay Bandi, Shaina Raza, Junaid Rashid, Bharathi Raja Chakravarthi:
Incorporating Medical Knowledge to Transformer-based Language Models for Medical Dialogue Generation. BioNLP@ACL 2022: 110-115 - [c19]Surendrabikram Thapa, Aditya Shah, Farhan Jafri, Usman Naseem, Imran Razzak:
A Multi-Modal Dataset for Hate Speech Detection on Social Media: Case-study of Russia-Ukraine Conflict. CASE@EMNLP 2022: 1-6 - [c18]Shaina Raza, Syed Raza Bashir, Usman Naseem:
Accuracy meets Diversity in a News Recommender System. COLING 2022: 3778-3787 - [c17]Dora D. Liu, Zhong Yuan Lai, Usman Naseem:
A Side Information Enhanced Matrix Factorization Approach via Hierarchical Generalized Linear Model. DSAA 2022: 1-9 - [c16]Shaina Raza, Syed Raza Bashir, Usman Naseem, Dora D. Liu, Deepak John Reji:
Incorporating Accuracy and Diversity in a News Recommender System. DSAA 2022: 1-10 - [c15]Usman Naseem, Adam G. Dunn, Jinman Kim, Matloob Khushi:
Early Identification of Depression Severity Levels on Reddit Using Ordinal Classification. WWW 2022: 2563-2572 - [c14]Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn:
Identification of Disease or Symptom terms in Reddit to Improve Health Mention Classification. WWW 2022: 2573-2581 - [i8]Shaina Raza, Syed Raza Bashir, Vidhi Thakkar, Usman Naseem:
A Summary of COVID-19 Datasets. CoRR abs/2202.02824 (2022) - [i7]Usman Naseem, Byoung-Chan Lee, Matloob Khushi, Jinman Kim, Adam G. Dunn:
Benchmarking for Public Health Surveillance tasks on Social Media with a Domain-Specific Pretrained Language Model. CoRR abs/2204.04521 (2022) - [i6]Shaina Raza, Deepak John Reji, Dora D. Liu, Syed Raza Bashir, Usman Naseem:
An Approach to Ensure Fairness in News Articles. CoRR abs/2207.03938 (2022) - 2021
- [j10]Shah Khalid Khan, Usman Naseem, Haris Siraj, Imran Razzak, Muhammad Imran:
The role of unmanned aerial vehicles and mmWave in 5G: Recent advances and challenges. Trans. Emerg. Telecommun. Technol. 32(7) (2021) - [j9]Kousik Das, Usman Naseem, Sovan Samanta, Shah Khalid Khan, Kajal De:
Fuzzy mixed graphs and its application to identification of COVID19 affected central regions in India. J. Intell. Fuzzy Syst. 40(1): 1051-1064 (2021) - [j8]Usman Naseem, Imran Razzak, Peter W. Eklund:
A survey of pre-processing techniques to improve short-text quality: a case study on hate speech detection on twitter. Multim. Tools Appl. 80(28-29): 35239-35266 (2021) - [j7]Usman Naseem, Imran Razzak, Shah Khalid Khan, Mukesh Prasad:
A Comprehensive Survey on Word Representation Models: From Classical to State-of-the-Art Word Representation Language Models. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(5): 74:1-74:35 (2021) - [j6]Usman Naseem, Imran Razzak, Matloob Khushi, Peter W. Eklund, Jinman Kim:
COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis. IEEE Trans. Comput. Soc. Syst. 8(4): 1003-1015 (2021) - [c13]Sadia Jahan, Md. Rafiqul Islam, Khan Md. Hasib, Usman Naseem, Md. Saiful Islam:
Active Learning with an Adaptive Classifier for Inaccessible Big Data Analysis. IJCNN 2021: 1-7 - [c12]Usman Naseem, Matloob Khushi, Jinman Kim, Adam G. Dunn:
Classifying vaccine sentiment tweets by modelling domain-specific representation and commonsense knowledge into context-aware attentive GRU. IJCNN 2021: 1-8 - [c11]Usman Naseem, Matloob Khushi, Vinay Reddy, Sakthivel Rajendran, Imran Razzak, Jinman Kim:
BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition. IJCNN 2021: 1-7 - [c10]Shaina Raza, Syed Raza Bashir, Dora D. Liu, Usman Naseem:
Balanced News Neural Network for a News Recommender System. ICDM (Workshops) 2021: 65-74 - [i5]Mukul Jaggi, Priyanka Mandal, Shreya Narang, Usman Naseem, Matloob Khushi:
Text Mining of Stocktwits Data for Predicting Stock Prices. CoRR abs/2103.16388 (2021) - [i4]Usman Naseem, Matloob Khushi, Jinman Kim, Adam G. Dunn:
Classifying vaccine sentiment tweets by modelling domain-specific representation and commonsense knowledge into context-aware attentive GRU. CoRR abs/2106.09589 (2021) - [i3]Usman Naseem, Adam G. Dunn, Matloob Khushi, Jinman Kim:
Benchmarking for Biomedical Natural Language Processing Tasks with a Domain Specific ALBERT. CoRR abs/2107.04374 (2021) - 2020
- [j5]Usman Naseem, Imran Razzak, Katarzyna Musial, Muhammad Imran:
Transformer based Deep Intelligent Contextual Embedding for Twitter sentiment analysis. Future Gener. Comput. Syst. 113: 58-69 (2020) - [j4]Shah Khalid Khan, Madiha Farasat, Usman Naseem, Farasat Ali:
Performance Evaluation of Next-Generation Wireless (5G) UAV Relay. Wirel. Pers. Commun. 113(2): 945-960 (2020) - [c9]Adhish Panta, Matloob Khushi, Usman Naseem, Paul J. Kennedy, Daniel R. Catchpoole:
Classification of Neuroblastoma Histopathological Images Using Machine Learning. ICONIP (3) 2020: 3-14 - [c8]Matloob Khushi, Usman Naseem, Jonathan Du, Anis Khan, Simon K. Poon:
Data Mining ENCODE Data Predicts a Significant Role of SINA3 in Human Liver Cancer. ICONIP (3) 2020: 15-25 - [c7]Usman Naseem, Matloob Khushi, Shah Khalid Khan, Nazar Waheed, Adnan Mir, Atika Qazi, Bandar Alshammari, Simon K. Poon:
Diabetic Retinopathy Detection Using Multi-layer Neural Networks and Split Attention with Focal Loss. ICONIP (3) 2020: 26-37 - [c6]Surendrabikram Thapa, Surabhi Adhikari, Usman Naseem, Priyanka Singh, Gnana Bharathy, Mukesh Prasad:
Detecting Alzheimer's Disease by Exploiting Linguistic Information from Nepali Transcript. ICONIP (4) 2020: 176-184 - [c5]Usman Naseem, Katarzyna Musial, Peter W. Eklund, Mukesh Prasad:
Biomedical Named-Entity Recognition by Hierarchically Fusing BioBERT Representations and Deep Contextual-Level Word-Embedding. IJCNN 2020: 1-8 - [c4]Usman Naseem, Imran Razzak, Peter W. Eklund, Katarzyna Musial:
Towards Improved Deep Contextual Embedding for the identification of Irony and Sarcasm. IJCNN 2020: 1-7 - [c3]Shah Khalid Khan, Usman Naseem, Abdul Sattar, Nazar Waheed, Adnan Mir, Atika Qazi, Muhammad Ismail:
UAV-aided 5G Network in Suburban, Urban, Dense Urban, and High-rise Urban Environments. NCA 2020: 1-4 - [i2]Usman Naseem, Matloob Khushi, Vinay Reddy, Sakthivel Rajendran, Imran Razzak, Jinman Kim:
BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition. CoRR abs/2009.09223 (2020) - [i1]Usman Naseem, Imran Razzak, Shah Khalid Khan, Mukesh Prasad:
A Comprehensive Survey on Word Representation Models: From Classical to State-Of-The-Art Word Representation Language Models. CoRR abs/2010.15036 (2020)
2010 – 2019
- 2019
- [j3]Arshia Rehman, Saeeda Naz, Usman Naseem, Imran Razzak, Ibrahim A. Hameed:
Deep AutoEncoder-Decoder Framework for Semantic Segmentation of Brain Tumor. Aust. J. Intell. Inf. Process. Syst. 15(3): 53-60 (2019) - [j2]Usman Naseem, Imran Razzak, Ibrahim A. Hameed:
Deep Context-Aware Embedding for Abusive and Hate Speech detection on Twitter. Aust. J. Intell. Inf. Process. Syst. 15(3): 69-76 (2019) - [j1]Imran Razzak, Usman Naseem, Saeeda Naz, Ibrahim A. Hameed:
Nuclear Norm Minimization in Frequency Domain for Complex Noise. Aust. J. Intell. Inf. Process. Syst. 16(2): 69-77 (2019) - [c2]Usman Naseem, Shah Khalid Khan, Imran Razzak, Ibrahim A. Hameed:
Hybrid Words Representation for Airlines Sentiment Analysis. Australasian Conference on Artificial Intelligence 2019: 381-392 - [c1]Usman Naseem, Katarzyna Musial:
DICE: Deep Intelligent Contextual Embedding for Twitter Sentiment Analysis. ICDAR 2019: 953-958
Coauthor Index
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