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ORCIDAshiqur R. KhudaBukhsh
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2020 – today
- 2024
[c48]Ashiqur R. KhudaBukhsh:
Quantifying Political Polarization through the Lens of Machine Translation and Vicarious Offense. AAAI 2024: 22672- [c47]Madhav Hota, Adel Khorramrouz, Ashiqur R. KhudaBukhsh:
Novax or Novak? Estimating Social Media Stance towards Celebrity Vaccine Hesitancy (Student Abstract). AAAI 2024: 23516-23517 - [c46]Deepak Pandita, Tharindu Cyril Weerasooriya, Sujan Dutta, Sarah Luger, Tharindu Ranasinghe, Ashiqur R. KhudaBukhsh, Marcos Zampieri, Christopher Homan:
Rater Cohesion and Quality from a Vicarious Perspective. EMNLP (Findings) 2024: 5149-5162 - [c45]Md Towhidul Absar Chowdhury, Naveen Sharma, Ashiqur R. KhudaBukhsh:
Community Needs and Assets: A Computational Analysis of Community Conversations. ICWSM 2024: 302-314 - [c44]Arka Dutta, Adel Khorramrouz, Sujan Dutta, Ashiqur R. KhudaBukhsh:
Down the Toxicity Rabbit Hole: A Framework to Bias Audit Large Language Models with Key Emphasis on Racism, Antisemitism, and Misogyny. IJCAI 2024: 7242-7250 - [c43]Adel Khorramrouz, Mahbeigom Fayyazi, Ashiqur R. KhudaBukhsh:
A Survival Guide for Iranian Women Prescribed by Iranian Women: Participatory AI to Investigate Intimate Partner Physical Violence in Iran. IJCAI 2024: 7305-7313 - [c42]Ashiqur R. KhudaBukhsh
:
From Bollywood Son Preference to Moral Policing on Women in Iran - A 360° View of Gender Bias. WWW (Companion Volume) 2024: 1806 - [c41]Md Towhidul Absar Chowdhury, Soumyajit Datta, Naveen Sharma, Ashiqur R. KhudaBukhsh:
Infrastructure Ombudsman: Mining Future Failure Concerns from Structural Disaster Response. WWW 2024: 4664-4673 - [i28]Md Towhidul Absar Chowdhury, Soumyajit Datta, Naveen Sharma, Ashiqur R. KhudaBukhsh:
Infrastructure Ombudsman: Mining Future Failure Concerns from Structural Disaster Response. CoRR abs/2402.13528 (2024) - [i27]Md Towhidul Absar Chowdhury, Naveen Sharma, Ashiqur R. KhudaBukhsh:
Community Needs and Assets: A Computational Analysis of Community Conversations. CoRR abs/2403.13272 (2024) - [i26]Nazia Tasnim, Sujan Sen Gupta, Md. Istiak Hossain Shihab, Fatiha Islam Juee, Arunima Tahsin, Pritom Ghum, Kanij Fatema, Marshia Haque, Wasema Farzana, Prionti Nasir, Ashiqur R. KhudaBukhsh, Farig Sadeque, Asif Shahriyar Sushmit:
Mapping Violence: Developing an Extensive Framework to Build a Bangla Sectarian Expression Dataset from Social Media Interactions. CoRR abs/2404.11752 (2024) - [i25]Deepak Pandita, Tharindu Cyril Weerasooriya, Sujan Dutta, Sarah Luger, Tharindu Ranasinghe, Ashiqur R. KhudaBukhsh, Marcos Zampieri, Christopher M. Homan:
Rater Cohesion and Quality from a Vicarious Perspective. CoRR abs/2408.08411 (2024) - [i24]Somonnoy Banerjee, Sujan Dutta, Soumyajit Datta, Ashiqur R. KhudaBukhsh:
Gender Representation and Bias in Indian Civil Service Mock Interviews. CoRR abs/2409.12194 (2024) - [i23]Sujan Dutta, Deepak Pandita, Tharindu Cyril Weerasooriya, Marcos Zampieri, Christopher M. Homan, Ashiqur R. KhudaBukhsh:
ARTICLE: Annotator Reliability Through In-Context Learning. CoRR abs/2409.12218 (2024) - 2023
- [c40]Clay H. Yoo, Ashiqur R. KhudaBukhsh:
Auditing and Robustifying COVID-19 Misinformation Datasets via Anticontent Sampling. AAAI 2023: 15260-15268 - [c39]Tharindu Cyril Weerasooriya, Sarah Luger, Saloni Poddar, Ashiqur R. KhudaBukhsh, Christopher Homan:
Subjective Crowd Disagreements for Subjective Data: Uncovering Meaningful CrowdOpinion with Population-level Learning. ACL (1) 2023: 950-966 - [c38]Tharindu Cyril Weerasooriya, Alexander Ororbia, Raj Bhensadadia, Ashiqur R. KhudaBukhsh, Christopher Homan:
Disagreement Matters: Preserving Label Diversity by Jointly Modeling Item and Annotator Label Distributions with DisCo. ACL (Findings) 2023: 4679-4695 - [c37]Mohammed Afaan Ansari, Jiten Sidhpura, Vivek Kumar Mandal, Ashiqur R. KhudaBukhsh:
Quantifying the Transience of Social Web Datasets. ASONAM 2023: 286-293 - [c36]Tharindu Cyril Weerasooriya, Sujan Dutta, Tharindu Ranasinghe, Marcos Zampieri, Christopher Homan, Ashiqur R. KhudaBukhsh:
Vicarious Offense and Noise Audit of Offensive Speech Classifiers: Unifying Human and Machine Disagreement on What is Offensive. EMNLP 2023: 11648-11668 - [c35]Keyu Chen, Marzieh Babaeianjelodar, Yiwen Shi, Kamila Janmohamed, Rupak Sarkar, Ingmar Weber, Thomas Davidson, Munmun De Choudhury, Jonathan Huang, Shweta Yadav, Ashiqur R. KhudaBukhsh, Chris T. Bauch, Preslav Nakov, Orestis Papakyriakopoulos, Koustuv Saha, Kaveh Khoshnood, Navin Kumar:
Partisan US News Media Representations of Syrian Refugees. ICWSM 2023: 103-113 - [c34]Sujan Dutta, Parth Srivastava, Vaishnavi Solunke, Swaprava Nath, Ashiqur R. KhudaBukhsh:
Disentangling Societal Inequality from Model Biases: Gender Inequality in Divorce Court Proceedings. IJCAI 2023: 5959-5967 - [c33]Adel Khorramrouz, Sujan Dutta, Ashiqur R. KhudaBukhsh:
For Women, Life, Freedom: A Participatory AI-Based Social Web Analysis of a Watershed Moment in Iran's Gender Struggles. IJCAI 2023: 6013-6021 - [i22]Tharindu Cyril Weerasooriya, Sujan Dutta, Tharindu Ranasinghe, Marcos Zampieri, Christopher M. Homan, Ashiqur R. KhudaBukhsh:
Vicarious Offense and Noise Audit of Offensive Speech Classifiers. CoRR abs/2301.12534 (2023) - [i21]Sumeet Kumar, Mallikarjuna T., Ashiqur R. KhudaBukhsh:
Quantifying the Academic Quality of Children's Videos using Machine Comprehension. CoRR abs/2303.17201 (2023) - [i20]Adel Khorramrouz, Sujan Dutta, Ashiqur R. KhudaBukhsh:
For Women, Life, Freedom: A Participatory AI-Based Social Web Analysis of a Watershed Moment in Iran's Gender Struggles. CoRR abs/2307.03764 (2023) - [i19]Tharindu Cyril Weerasooriya, Sarah Luger, Saloni Poddar, Ashiqur R. KhudaBukhsh, Christopher M. Homan:
Subjective Crowd Disagreements for Subjective Data: Uncovering Meaningful CrowdOpinion with Population-level Learning. CoRR abs/2307.10189 (2023) - [i18]Sujan Dutta, Parth Srivastava, Vaishnavi Solunke, Swaprava Nath, Ashiqur R. KhudaBukhsh:
Disentangling Societal Inequality from Model Biases: Gender Inequality in Divorce Court Proceedings. CoRR abs/2307.10200 (2023) - [i17]Adel Khorramrouz, Sujan Dutta, Arka Dutta, Ashiqur R. KhudaBukhsh:
Down the Toxicity Rabbit Hole: Investigating PaLM 2 Guardrails. CoRR abs/2309.06415 (2023) - [i16]Clay H. Yoo, Ashiqur R. KhudaBukhsh:
Auditing and Robustifying COVID-19 Misinformation Datasets via Anticontent Sampling. CoRR abs/2310.07078 (2023) - 2022
- [j6]Kunal Khadilkar, Ashiqur R. KhudaBukhsh, Tom M. Mitchell:
Gender bias, social bias, and representation: 70 years of BHollywood. Patterns 3(2): 100409 (2022) - [j5]Kunal Khadilkar, Ashiqur R. KhudaBukhsh, Tom M. Mitchell:
Gender bias, social bias, and representation: 70 years of BHollywood. Patterns 3(2): 100442 (2022) - [j4]Kunal Khadilkar, Ashiqur R. KhudaBukhsh, Tom M. Mitchell:
Gender bias, social bias, and representation in Bollywood and Hollywood. Patterns 3(4): 100486 (2022) - [c32]Krithika Ramesh, Ashiqur R. KhudaBukhsh, Sumeet Kumar:
'Beach' to 'Bitch': Inadvertent Unsafe Transcription of Kids' Content on YouTube. AAAI 2022: 12108-12118 - [c31]Keyu Chen, Marzieh Babaeianjelodar, Yiwen Shi, Rohan Aanegola, Lam Yin Cheung, Preslav Ivanov Nakov, Shweta Yadav, Angus Bancroft, Ashiqur R. KhudaBukhsh, Munmun De Choudhury, Frederick L. Altice, Navin Kumar:
US News and Social Media Framing Around Vaping. CSoNet 2022: 188-199 - [c30]Sujan Dutta, Beibei Li, Daniel S. Nagin, Ashiqur R. KhudaBukhsh:
A Murder and Protests, the Capitol Riot, and the Chauvin Trial: Estimating Disparate News Media Stance. IJCAI 2022: 5059-5065 - [c29]Clay H. Yoo, Jiachen Wang, Yuxi Luo, Kunal Khadilkar, Ashiqur R. KhudaBukhsh:
Conversational Inequality Through the Lens of Political Interruption. IJCAI 2022: 5213-5219 - [c28]Keyu Chen, Yiwen Shi, Jun Luo, Joyce Jiang, Shweta Yadav, Munmun De Choudhury, Ashiqur R. KhudaBukhsh, Marzieh Babaeianjelodar, Frederick L. Altice, Navin Kumar:
How Is Vaping Framed on Online Knowledge Dissemination Platforms? SBP-BRiMS 2022: 68-78 - [c27]Ramon Villa Cox, Helen Shuxuan Zeng, Ashiqur R. KhudaBukhsh, Kathleen M. Carley:
Linguistic and News-Sharing Polarization During the 2019 South American Protests. SocInfo 2022: 76-95 - [c26]Ashiqur R. KhudaBukhsh, Shriphani Palakodety, Tom M. Mitchell:
Harnessing Unsupervised Word Translation to Address Resource Inequality for Peace and Health. SocInfo 2022: 159-180 - [c25]Ashiqur R. KhudaBukhsh, Rupak Sarkar, Mark S. Kamlet, Tom M. Mitchell:
Fringe News Networks: Dynamics of US News Viewership following the 2020 Presidential Election. WebSci 2022: 269-278 - [i15]Krithika Ramesh, Ashiqur R. KhudaBukhsh, Sumeet Kumar:
'Beach' to 'Bitch': Inadvertent Unsafe Transcription of Kids' Content on YouTube. CoRR abs/2203.04837 (2022) - [i14]Keyu Chen, Marzieh Babaeianjelodar, Yiwen Shi, Rohan Aanegola, Lam Yin Cheung, Preslav Ivanov Nakov, Shweta Yadav, Angus Bancroft, Ashiqur R. KhudaBukhsh, Munmun De Choudhury, Frederick L. Altice, Navin Kumar:
US News and Social Media Framing around Vaping. CoRR abs/2206.07765 (2022) - [i13]Keyu Chen, Marzieh Babaeianjelodar, Yiwen Shi, Kamila Janmohamed, Rupak Sarkar, Ingmar Weber, Thomas Davidson, Munmun De Choudhury, Jonathan Huang, Shweta Yadav, Ashiqur R. KhudaBukhsh, Preslav Ivanov Nakov, Chris T. Bauch, Orestis Papakyriakopoulos, Kaveh Khoshnood, Navin Kumar:
Partisan US News Media Representations of Syrian Refugees. CoRR abs/2206.09024 (2022) - [i12]Keyu Chen, Yiwen Shi, Jun Luo, Joyce Jiang, Shweta Yadav, Munmun De Choudhury, Ashiqur R. KhudaBukhsh, Marzieh Babaeianjelodar, Frederick L. Altice, Navin Kumar:
How is Vaping Framed on Online Knowledge Dissemination Platforms? CoRR abs/2206.10594 (2022) - 2021
- [b1]Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Guha Jayachandran:
Low Resource Social Media Text Mining. Springer Briefs in Computer Science, Springer 2021, ISBN 978-981-16-5624-8, pp. 1-60 - [c24]Ashiqur R. KhudaBukhsh, Rupak Sarkar, Mark S. Kamlet, Tom M. Mitchell:
We Don't Speak the Same Language: Interpreting Polarization through Machine Translation. AAAI 2021: 14893-14901 - [c23]Kunal Khadilkar, Ashiqur R. KhudaBukhsh:
An Unfair Affinity Toward Fairness: Characterizing 70 Years of Social Biases in BHollywood (Student Abstract). AAAI 2021: 15813-15814 - [c22]Rupak Sarkar, Ashiqur R. KhudaBukhsh:
Are Chess Discussions Racist? An Adversarial Hate Speech Data Set (Student Abstract). AAAI 2021: 15881-15882 - [i11]Ashiqur R. KhudaBukhsh, Rupak Sarkar, Mark S. Kamlet, Tom M. Mitchell:
Fringe News Networks: Dynamics of US News Viewership following the 2020 Presidential Election. CoRR abs/2101.10112 (2021) - [i10]Kunal Khadilkar, Ashiqur R. KhudaBukhsh, Tom M. Mitchell:
Gender Bias, Social Bias and Representation: 70 Years of B$^H$ollywood. CoRR abs/2102.09103 (2021) - [i9]Ramon Alfonso Villa Cox, Helen Shuxuan Zeng, Ashiqur R. KhudaBukhsh, Kathleen M. Carley:
Exploring Polarization of Users Behavior on Twitter During the 2019 South American Protests. CoRR abs/2104.05611 (2021) - [i8]Clay H. Yoo, Shriphani Palakodety, Rupak Sarkar, Ashiqur R. KhudaBukhsh:
Empathy and Hope: Resource Transfer to Model Inter-country Social Media Dynamics. CoRR abs/2106.12044 (2021) - 2020
- [c21]Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell:
Voice for the Voiceless: Active Sampling to Detect Comments Supporting the Rohingyas. AAAI 2020: 454-462 - [c20]Rupak Sarkar, Sayantan Mahinder, Ashiqur R. KhudaBukhsh:
The Non-native Speaker Aspect: Indian English in Social Media. W-NUT@EMNLP 2020: 61-70 - [c19]Shriphani Palakodety, Ashiqur R. KhudaBukhsh:
Annotation Efficient Language Identification from Weak Labels. W-NUT@EMNLP 2020: 181-192 - [c18]Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell:
Hope Speech Detection: A Computational Analysis of the Voice of Peace. ECAI 2020: 1881-1889 - [c17]Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell:
Mining Insights from Large-Scale Corpora Using Fine-Tuned Language Models. ECAI 2020: 1890-1897 - [c16]Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell:
The Refugee Experience Online: Surfacing Positivity Amidst Hate. ECAI 2020: 2925-2926 - [c15]Rupak Sarkar, Sayantan Mahinder, Hirak Sarkar, Ashiqur R. KhudaBukhsh:
Social Media Attributions in the Context of Water Crisis. EMNLP (1) 2020: 1402-1412 - [c14]Ashiqur R. KhudaBukhsh, Shriphani Palakodety, Jaime G. Carbonell:
Harnessing Code Switching to Transcend the Linguistic Barrier. IJCAI 2020: 4366-4374 - [i7]Rupak Sarkar, Hirak Sarkar, Sayantan Mahinder, Ashiqur R. KhudaBukhsh:
Social Media Attributions in the Context of Water Crisis. CoRR abs/2001.01697 (2020) - [i6]Ashiqur R. KhudaBukhsh, Shriphani Palakodety, Jaime G. Carbonell:
Harnessing Code Switching to Transcend the Linguistic Barrier. CoRR abs/2001.11258 (2020) - [i5]Ashiqur R. KhudaBukhsh, Shriphani Palakodety, Tom M. Mitchell:
Discovering Bilingual Lexicons in Polyglot Word Embeddings. CoRR abs/2008.13347 (2020) - [i4]Ashiqur R. KhudaBukhsh, Rupak Sarkar, Mark S. Kamlet, Tom M. Mitchell:
We Don't Speak the Same Language: Interpreting Polarization through Machine Translation. CoRR abs/2010.02339 (2020) - [i3]Rupak Sarkar, Ashiqur R. KhudaBukhsh:
Are Chess Discussions Racist? An Adversarial Hate Speech Data Set. CoRR abs/2011.10280 (2020)
2010 – 2019
- 2019
- [j3]Ashiqur R. KhudaBukhsh, Jaime G. Carbonell:
Expertise drift in referral networks. Auton. Agents Multi Agent Syst. 33(5): 645-671 (2019) - [c13]Ashiqur R. KhudaBukhsh, Jaime G. Carbonell:
Toward Reciprocity-Aware Distributed Learning in Referral Networks. PRICAI (2) 2019: 121-135 - [i2]Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell:
Kashmir: A Computational Analysis of the Voice of Peace. CoRR abs/1909.12940 (2019) - [i1]Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell:
Voice for the Voiceless: Active Sampling to Detect Comments Supporting the Rohingyas. CoRR abs/1910.03206 (2019) - 2018
- [j2]Ashiqur R. KhudaBukhsh, Jaime G. Carbonell, Peter J. Jansen:
Robust learning in expert networks: a comparative analysis. J. Intell. Inf. Syst. 51(2): 207-234 (2018) - [c12]Ashiqur R. KhudaBukhsh, Jaime G. Carbonell:
Expertise Drift in Referral Networks. AAMAS 2018: 425-433 - [c11]Ashiqur R. KhudaBukhsh, Jaime G. Carbonell:
Endorsement in Referral Networks. EUMAS 2018: 172-187 - [c10]Ashiqur R. KhudaBukhsh, Jong Woo Hong, Jaime G. Carbonell:
Market-Aware Proactive Skill Posting. ISMIS 2018: 323-332 - 2017
- [c9]Ashiqur R. KhudaBukhsh, Jaime G. Carbonell, Peter J. Jansen:
Incentive Compatible Proactive Skill Posting in Referral Networks. EUMAS/AT 2017: 29-43 - [c8]Ashiqur R. KhudaBukhsh, Jaime G. Carbonell, Peter J. Jansen:
Robust Learning in Expert Networks: A Comparative Analysis. ISMIS 2017: 292-301 - 2016
- [j1]Ashiqur R. KhudaBukhsh, Lin Xu, Holger H. Hoos, Kevin Leyton-Brown:
SATenstein: Automatically building local search SAT solvers from components. Artif. Intell. 232: 20-42 (2016) - [c7]Ashiqur R. KhudaBukhsh, Jaime G. Carbonell, Peter J. Jansen:
Proactive Skill Posting in Referral Networks. Australasian Conference on Artificial Intelligence 2016: 585-596 - [c6]Ashiqur R. KhudaBukhsh, Peter J. Jansen, Jaime G. Carbonell:
Distributed Learning in Expert Referral Networks. ECAI 2016: 1620-1621 - [c5]Ashiqur R. KhudaBukhsh, Jaime G. Carbonell, Peter J. Jansen:
Proactive-DIEL in Evolving Referral Networks. EUMAS/AT 2016: 148-156 - [c4]Lin Xu, Ashiqur R. KhudaBukhsh, Holger H. Hoos, Kevin Leyton-Brown:
Quantifying the Similarity of Algorithm Configurations. LION 2016: 203-217 - 2015
- [c3]Ashiqur R. KhudaBukhsh, Paul N. Bennett, Ryen W. White:
Building Effective Query Classifiers: A Case Study in Self-harm Intent Detection. CIKM 2015: 1735-1738 - 2014
- [c2]Ashiqur R. KhudaBukhsh, Jaime G. Carbonell, Peter J. Jansen:
Detecting Non-Adversarial Collusion in Crowdsourcing. HCOMP 2014: 104-111
2000 – 2009
- 2009
- [c1]Ashiqur R. KhudaBukhsh, Lin Xu, Holger H. Hoos, Kevin Leyton-Brown:
SATenstein: Automatically Building Local Search SAT Solvers from Components. IJCAI 2009: 517-524
Coauthor Index
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