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ORCIDShaina Raza
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2020 – today
- 2024
[j17]Shaina Raza
:
Bias Reduction News Recommendation System. Digit. 4(1): 92-103 (2024)- [j16]Shaina Raza, Muskan Garg, Deepak John Reji, Syed Raza Bashir, Chen Ding:
Nbias: A natural language processing framework for BIAS identification in text. Expert Syst. Appl. 237(Part B): 121542 (2024) - [j15]Shaina Raza, Deepak John Reji, Chen Ding:
Dbias: detecting biases and ensuring fairness in news articles. Int. J. Data Sci. Anal. 17(1): 39-59 (2024) - [j14]Abdullah Yahya Mohammed Muaad, Shaina Raza, Md Belal Bin Heyat, Amerah A. Alabrah, Hanumanthappa J:
An Intelligent COVID-19-Related Arabic Text Detection Framework Based on Transfer Learning Using Context Representation. Int. J. Intell. Syst. 2024: 1-15 (2024) - [j13]Muskan Garg, Xingyi Liu, MSVPJ Sathvik, Shaina Raza, Sunghwan Sohn:
MultiWD: Multi-label wellness dimensions in social media posts. J. Biomed. Informatics 150: 104586 (2024) - [j12]Shaina Raza, Veronica Chatrath:
HarmonyNet: Navigating hate speech detection. Nat. Lang. Process. J. 8: 100098 (2024) - [j11]Shaina Raza, Tahniat Khan, Veronica Chatrath, Drai Paulen-Patterson, Mizanur Rahman, Oluwanifemi Bamgbose:
FakeWatch[inline-graphic not available: see fulltext]: a framework for detecting fake news to ensure credible elections. Soc. Netw. Anal. Min. 14(1): 142 (2024) - [j10]Shaina Raza, Chen (Cherie) Ding:
Improving Clinical Decision Making With a Two-Stage Recommender System. IEEE ACM Trans. Comput. Biol. Bioinform. 21(5): 1180-1190 (2024) - [j9]Shaina Raza, Oluwanifemi Bamgbose, Veronica Chatrath, Shardul Ghuge, Yan Sidyakin, Abdullah Yahya Mohammed Muaad:
Unlocking Bias Detection: Leveraging Transformer-Based Models for Content Analysis. IEEE Trans. Comput. Soc. Syst. 11(5): 6422-6434 (2024) - [j8]Keshopan Arunthavachelvan, Shaina Raza, Chen (Cherie) Ding:
A deep neural network approach for fake news detection using linguistic and psychological features. User Model. User Adapt. Interact. 34(4): 1043-1070 (2024) - [c19]Shaina Raza, Mizanur Rahman, Shardul Ghuge:
Dataset Annotation and Model Building for Identifying Biases in News Narratives. Text2Story@ECIR 2024: 5-15 - [c18]Zainab Al-Zanbouri, Gauri Sharma, Shaina Raza:
Equity in Healthcare: Analyzing Disparities in Machine Learning Predictions of Diabetic Patient Readmissions. ICHI 2024: 660-669 - [c17]Muskan Garg, MSVPJ Sathvik, Shaina Raza, Amrit Chadha, Sunghwan Sohn:
Reliability Analysis of Psychological Concept Extraction and Classification in User-Penned Text. ICWSM 2024: 422-434 - [c16]Shaina Raza, Ananya Raval, Veronica Chatrath:
MBIAS: Mitigating Bias in Large Language Models While Retaining Context. WASSA 2024: 97-111 - [i33]Muskan Garg, MSVPJ Sathvik, Amrit Chadha, Shaina Raza, Sunghwan Sohn:
Reliability Analysis of Psychological Concept Extraction and Classification in User-penned Text. CoRR abs/2401.06709 (2024) - [i32]Shaina Raza, Shardul Ghuge, Chen (Cherie) Ding, Deval Pandya:
FAIR Enough: How Can We Develop and Assess a FAIR-Compliant Dataset for Large Language Models' Training? CoRR abs/2401.11033 (2024) - [i31]Syed Raza Bashir, Shaina Raza, Vojislav B. Misic:
Progress in Privacy Protection: A Review of Privacy Preserving Techniques in Recommender Systems, Edge Computing, and Cloud Computing. CoRR abs/2401.11305 (2024) - [i30]Shaina Raza, Tahniat Khan, Drai Paulen-Patterson, Veronica Chatrath, Mizanur Rahman, Oluwanifemi Bamgbose:
FakeWatch: A Framework for Detecting Fake News to Ensure Credible Elections. CoRR abs/2403.09858 (2024) - [i29]Zainab Al-Zanbouri, Gauri Sharma, Shaina Raza:
Equity in Healthcare: Analyzing Disparities in Machine Learning Predictions of Diabetic Patient Readmissions. CoRR abs/2403.19057 (2024) - [i28]Shaina Raza, Oluwanifemi Bamgbose, Shardul Ghuge, Fatemeh Tavakoli, Deepak John Reji:
Developing Safe and Responsible Large Language Models - A Comprehensive Framework. CoRR abs/2404.01399 (2024) - [i27]Emrul Hasan, Mizanur Rahman, Chen Ding, Jimmy Xiangji Huang, Shaina Raza:
Review-based Recommender Systems: A Survey of Approaches, Challenges and Future Perspectives. CoRR abs/2405.05562 (2024) - [i26]Shaina Raza, Ananya Raval, Veronica Chatrath:
MBIAS: Mitigating Bias in Large Language Models While Retaining Context. CoRR abs/2405.11290 (2024) - [i25]Shaina Raza, Mizanur Rahman, Michael R. Zhang:
BEADs: Bias Evaluation Across Domains. CoRR abs/2406.04220 (2024) - [i24]Farnaz Kohankhaki, Shaina Raza, Oluwanifemi Bamgbose, Deval Pandya, Elham Dolatabadi:
Practical Guide for Causal Pathways and Sub-group Disparity Analysis. CoRR abs/2407.02702 (2024) - [i23]Shaina Raza, Mizanur Rahman, Safiullah Kamawal, Armin Toroghi, Ananya Raval, Farshad Navah, Amirmohammad Kazemeini:
A Comprehensive Review of Recommender Systems: Transitioning from Theory to Practice. CoRR abs/2407.13699 (2024) - [i22]Shaina Raza, Arash Shaban-Nejad, Elham Dolatabadi, Hiroshi Mamiya:
Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review. CoRR abs/2408.13295 (2024) - 2023
- [j7]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) - [j6]Syed Raza Bashir, Shaina Raza, Vojislav B. Misic:
BERT4Loc: BERT for Location - POI Recommender System. Future Internet 15(6): 213 (2023) - [j5]Shaina Raza, Brian Schwartz:
Entity and relation extraction from clinical case reports of COVID-19: a natural language processing approach. BMC Medical Informatics Decis. Mak. 23(1): 20 (2023) - [c15]Keshopan Arunthavachelvan, Shaina Raza, Chen (Cherie) Ding:
PLNCC: Leveraging New Data Features for Enhanced Accuracy of Fake News Detection. ASONAM 2023: 144-148 - [c14]Shaina Raza, Syed Raza Bashir, Sneha, Urooj Qamar:
Addressing Biases in the Texts Using an End-to-End Pipeline Approach. BIAS 2023: 100-107 - [c13]Shaina Raza, Syed Raza Bashir:
Leveraging Foundation Models for Clinical Text Analysis. ICHI 2023: 575-580 - [c12]Shaina Raza:
Connecting Fairness in Machine Learning with Public Health Equity. ICHI 2023: 704-708 - [c11]Shaina Raza, Syed Raza Bashir:
Auditing ICU Readmission Rates in an Clinical Database: An Analysis of Risk Factors and Clinical Outcomes. ICHI 2023: 722-726 - [i21]Shaina Raza, Syed Raza Bashir, Sneha, Urooj Qamar:
Addressing Biases in the Texts using an End-to-End Pipeline Approach. CoRR abs/2303.07024 (2023) - [i20]Shaina Raza, Syed Raza Bashir:
Leveraging Foundation Models for Clinical Text Analysis. CoRR abs/2303.13314 (2023) - [i19]Shaina Raza:
Connecting Fairness in Machine Learning with Public Health Equity. CoRR abs/2304.04761 (2023) - [i18]Shaina Raza:
Auditing ICU Readmission Rates in an Clinical Database: An Analysis of Risk Factors and Clinical Outcomes. CoRR abs/2304.05986 (2023) - [i17]Shaina Raza, Parisa Osivand Pour, Syed Raza Bashir:
Fairness in Machine Learning meets with Equity in Healthcare. CoRR abs/2305.07041 (2023) - [i16]Shaina Raza, Chen Ding, Deval Pandya:
Mitigating Bias in Conversations: A Hate Speech Classifier and Debiaser with Prompts. CoRR abs/2307.10213 (2023) - [i15]Shaina Raza, Muskan Garg, Deepak John Reji, Syed Raza Bashir, Chen Ding:
NBIAS: A Natural Language Processing Framework for Bias Identification in Text. CoRR abs/2308.01681 (2023) - [i14]Shaina Raza, Oluwanifemi Bamgbose, Veronica Chatrath, Shardul Ghuge, Yan Sidyakin, Abdullah Yahya Mohammed Muaad:
Unlocking Bias Detection: Leveraging Transformer-Based Models for Content Analysis. CoRR abs/2310.00347 (2023) - [i13]Veronica Chatrath, Oluwanifemi Bamgbose, Shaina Raza:
Design-Inclusive Language Models for Responsible Information Access. CoRR abs/2310.18333 (2023) - [i12]Shaina Raza:
Navigating News Narratives: A Media Bias Analysis Dataset. CoRR abs/2312.00168 (2023) - [i11]Tahniat Khan, Mizanur Rahman, Veronica Chatrath, Oluwanifemi Bamgbose, Shaina Raza:
FakeWatch ElectionShield: A Benchmarking Framework to Detect Fake News for Credible US Elections. CoRR abs/2312.03730 (2023) - [i10]Shaina Raza, Mizanur Rahman, Shardul Ghuge:
Analyzing the Impact of Fake News on the Anticipated Outcome of the 2024 Election Ahead of Time. CoRR abs/2312.03750 (2023) - 2022
- [j4]Shaina Raza, Chen Ding:
News recommender system: a review of recent progress, challenges, and opportunities. Artif. Intell. Rev. 55(1): 749-800 (2022) - [j3]Shaina Raza, Brian Schwartz, Laura C. Rosella:
CoQUAD: a COVID-19 question answering dataset system, facilitating research, benchmarking, and practice. BMC Bioinform. 23(1): 210 (2022) - [j2]Shaina Raza, Chen Ding:
Fake news detection based on news content and social contexts: a transformer-based approach. Int. J. Data Sci. Anal. 13(4): 335-362 (2022) - [c10]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 - [c9]Shaina Raza, Syed Raza Bashir, Usman Naseem:
Accuracy meets Diversity in a News Recommender System. COLING 2022: 3778-3787 - [c8]Shaina Raza, Brian Schwartz, Nancy Ondrusek:
A Question-Answering System on COVID-19 Scientific Literature. COMPSAC 2022: 1331-1336 - [c7]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 - [c6]Shaina Raza, Brian Schwartz:
Detecting Biomedical Named Entities in COVID-19 Texts. Healthcare AI and COVID-19 Workshop 2022: 117-126 - [c5]Shaina Raza, Chen (Cherie) Ding:
Relevancy and Diversity in News Recommendations. INRA/IWILDS@SIGIR 2022: 6-15 - [i9]Shaina Raza, Syed Raza Bashir, Vidhi Thakkar, Usman Naseem:
A Summary of COVID-19 Datasets. CoRR abs/2202.02824 (2022) - [i8]Shaina Raza:
A COVID-19 Search Engine (CO-SE) with Transformer-based Architecture. CoRR abs/2206.03474 (2022) - [i7]Shaina Raza:
Mitigating health disparities in hospital readmissions. CoRR abs/2206.06279 (2022) - [i6]Shaina Raza, Brian Schwartz:
A Biomedical Pipeline to Detect Clinical and Non-Clinical Named Entities. CoRR abs/2207.00876 (2022) - [i5]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) - [i4]Shaina Raza, Deepak John Reji, Chen Ding:
Dbias: Detecting biases and ensuring Fairness in news articles. CoRR abs/2208.05777 (2022) - 2021
- [c4]Shaina Raza, Chen Ding:
Deep Neural Network to Tradeoff between Accuracy and Diversity in a News Recommender System. IEEE BigData 2021: 5246-5256 - [c3]Shaina Raza, Syed Raza Bashir, Dora D. Liu, Usman Naseem:
Balanced News Neural Network for a News Recommender System. ICDM (Workshops) 2021: 65-74 - [i3]Shaina Raza, Chen Ding:
Deep Dynamic Neural Network to trade-off between Accuracy and Diversity in a News Recommender System. CoRR abs/2103.08458 (2021) - [i2]Shaina Raza:
A News Recommender System Considering Temporal Dynamics and Diversity. CoRR abs/2103.12537 (2021) - 2020
- [c2]Shaina Raza, Chen Ding:
A Regularized Model to Trade-off between Accuracy and Diversity in a News Recommender System. IEEE BigData 2020: 551-560 - [i1]Shaina Raza, Chen Ding:
A survey on news recommender system - Dealing with timeliness, dynamic user interest and content quality, and effects of recommendation on news readers. CoRR abs/2009.04964 (2020)
2010 – 2019
- 2019
- [j1]Shaina Raza, Chen Ding:
Progress in context-aware recommender systems - An overview. Comput. Sci. Rev. 31: 84-97 (2019) - [c1]Shaina Raza, Chen Ding:
News Recommender System Considering Temporal Dynamics and News Taxonomy. IEEE BigData 2019: 920-929
Coauthor Index
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last updated on 2024-10-23 21:23 CEST by the dblp team
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