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ORCIDChristopher Homan
Christopher M. Homan – Christopher Michael Homan
Person information
- affiliation: Rochester Institute of Technology, Henrietta, NY, USA
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Journal Articles
- 2020
[j11]Mike Schaekermann, Christopher Homan, Lora Aroyo, Praveen K. Paritosh, Kurt D. Bollacker, Chris Welty:
The AI Bookie - Place Your Bets: Will Machine Learning Outgrow Human Labeling? AI Mag. 41(4): 123-126 (2020)- 2015
- [j10]Christopher M. Homan, Sven Kosub
:
Dichotomy results for fixed point counting in boolean dynamical systems. Theor. Comput. Sci. 573: 16-25 (2015) - 2014
- [j9]Walter S. Lasecki, Christopher Homan, Jeffrey P. Bigham:
Architecting Real-Time Crowd-Powered Systems. Hum. Comput. 1(1): 67-93 (2014) - 2012
- [j8]Ioannis Caragiannis, Jason A. Covey, Michal Feldman, Christopher M. Homan, Christos Kaklamanis, Nikos Karanikolas, Ariel D. Procaccia, Jeffrey S. Rosenschein:
On the approximability of Dodgson and Young elections. Artif. Intell. 187: 31-51 (2012) - 2010
- [j7]Noah Stupak, Nicholas DiFonzo, Andrew J. Younge, Christopher Homan:
SOCIALSENSE: Graphical user interface design considerations for social network experiment software. Comput. Hum. Behav. 26(3): 365-370 (2010) - 2009
- [j6]Christopher M. Homan, Lane A. Hemaspaandra:
Guarantees for the success frequency of an algorithm for finding Dodgson-election winners. J. Heuristics 15(4): 403-423 (2009) - 2007
- [j5]Lane A. Hemaspaandra, Christopher M. Homan, Sven Kosub:
Cluster computing and the power of edge recognition. Inf. Comput. 205(8): 1274-1293 (2007) - [j4]Lane A. Hemaspaandra, Christopher M. Homan, Sven Kosub, Klaus W. Wagner:
The Complexity of Computing the Size of an Interval. SIAM J. Comput. 36(5): 1264-1300 (2007) - 2004
- [j3]Christopher M. Homan:
Tight lower bounds on the ambiguity of strong, total, associative, one-way functions. J. Comput. Syst. Sci. 68(3): 657-674 (2004) - 2003
- [j2]Christopher M. Homan, Mayur Thakur:
One-way permutations and self-witnessing languages. J. Comput. Syst. Sci. 67(3): 608-622 (2003) - 1999
- [j1]Alina Beygelzimer, Lane A. Hemaspaandra, Christopher M. Homan, Jörg Rothe:
One-way functions in worst-case cryptography: algebraic and security properties are on the house. SIGACT News 30(4): 25-40 (1999)
Conference and Workshop Papers
- 2024
- [c41]Mamadou Keita, Elysabhete Amadou Ibrahim, Habibatou Abdoulaye Alfari, Christopher Homan:
Feriji: A French-Zarma Parallel Corpus, Glossary & Translator. ACL (Student Research Workshop) 2024: 1-9 - [c40]Vinodkumar Prabhakaran, Christopher Homan, Lora Aroyo, Aida Mostafazadeh Davani, Alicia Parrish, Alex S. Taylor, Mark Diaz, Ding Wang, Gregory Serapio-García:
GRASP: A Disagreement Analysis Framework to Assess Group Associations in Perspectives. NAACL-HLT 2024: 3473-3492 - 2023
- [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]Shira Wein, Christopher Homan, Lora Aroyo, Chris Welty:
Follow the leader(board) with confidence: Estimating p-values from a single test set with item and response variance. ACL (Findings) 2023: 3138-3161 - [c37]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 - [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]Tharindu Cyril Weerasooriya, Sarah Luger, Yu Liang, Christopher M. Homan:
Offensiveness as an Opinion: Dissecting population-level Label Distributions. Tiny Papers @ ICLR 2023 - [c34]Lora Aroyo, Alex S. Taylor, Mark Díaz, Christopher Homan, Alicia Parrish, Gregory Serapio-García, Vinodkumar Prabhakaran, Ding Wang:
DICES Dataset: Diversity in Conversational AI Evaluation for Safety. NeurIPS 2023 - 2022
- [c33]Ronit Damania, Christopher Homan, Emily Prud'hommeaux:
Combining Simple but Novel Data Augmentation Methods for Improving Conformer ASR. INTERSPEECH 2022: 4890-4894 - [c32]Christopher Homan, Tharindu Cyril Weerasooriya, Lora Aroyo, Chris Welty:
Annotator Response Distributions as a Sampling Frame. NLPerspectives@LREC 2022: 56-65 - [c31]Tharindu Cyril Weerasooriya, Alexander Ororbia, Christopher Homan:
Improving Label Quality by Jointly Modeling Items and Annotators. NLPerspectives@LREC 2022: 95-99 - 2021
- [c30]Saurabh Sampatrao Gaikwad, Tharindu Ranasinghe, Marcos Zampieri, Christopher Homan:
Cross-lingual Offensive Language Identification for Low Resource Languages: The Case of Marathi. RANLP 2021: 437-443 - [c29]Abhinandan Tejalkumar Desai, Kai North, Marcos Zampieri, Christopher Homan:
LCP-RIT at SemEval-2021 Task 1: Exploring Linguistic Features for Lexical Complexity Prediction. SemEval@ACL/IJCNLP 2021: 548-553 - [c28]Farhad Akhbardeh, Arkady Arkhangorodsky, Magdalena Biesialska, Ondrej Bojar, Rajen Chatterjee, Vishrav Chaudhary, Marta R. Costa-jussà, Cristina España-Bonet, Angela Fan, Christian Federmann, Markus Freitag, Yvette Graham, Roman Grundkiewicz, Barry Haddow, Leonie Harter, Kenneth Heafield, Christopher Homan, Matthias Huck, Kwabena Amponsah-Kaakyire, Jungo Kasai, Daniel Khashabi, Kevin Knight, Tom Kocmi, Philipp Koehn, Nicholas Lourie, Christof Monz, Makoto Morishita, Masaaki Nagata, Ajay Nagesh, Toshiaki Nakazawa, Matteo Negri, Santanu Pal, Allahsera Auguste Tapo, Marco Turchi, Valentin Vydrin, Marcos Zampieri:
Findings of the 2021 Conference on Machine Translation (WMT21). WMT@EMNLP 2021: 1-88 - 2020
- [c27]Sarah Luger, Martina Anto-Ocrah, Allahsera Tapo, Christopher Homan, Marcos Zampieri, Michael Leventhal:
Health Care Misinformation: an Artificial Intelligence Challenge for Low-resource languages. AI4SG@AAAI Fall Symposium 2020 - [c26]Tharindu Cyril Weerasooriya, Tong Liu, Christopher M. Homan:
Neighborhood-Based Pooling for Population-Level Label Distribution Learning. ECAI 2020: 490-497 - [c25]Michael Leventhal, Allahsera Tapo, Sarah Luger, Marcos Zampieri, Christopher M. Homan:
Assessing Human Translations from French to Bambara for Machine Learning: a Pilot Study. AfricaNLP 2020 - 2019
- [c24]Tong Liu, Akash Venkatachalam, Pratik Sanjay Bongale, Christopher M. Homan:
Learning to Predict Population-Level Label Distributions. HCOMP 2019: 68-76 - [c23]Monali Saraf, Tyrell Roberts, Raymond W. Ptucha, Christopher Homan, Cecilia Ovesdotter Alm:
Multimodal Anticipated versus Actual Perceptual Reactions. ICMI (Adjunct) 2019: 2:1-2:5 - [c22]Tong Liu, Akash Venkatachalam, Pratik Sanjay Bongale, Christopher Homan:
Learning to Predict Population-Level Label Distributions. WWW (Companion Volume) 2019: 1111-1120 - 2018
- [c21]Ann Marie White, Linxiao Bai, Christopher Homan, Melanie Funchess, Catherine Cerulli, Amen Ptah, Deepak Pandita, Henry A. Kautz:
Does Reciprocal Gratefulness in Twitter Predict Neighborhood Safety?: Comparing 911 Calls Where Users Reside or Use Social Media. ICWSM 2018: 700-703 - [c20]McKenna K. Tornblad, Luke Lapresi, Christopher Homan, Raymond W. Ptucha, Cecilia Ovesdotter Alm:
Sensing and Learning Human Annotators Engaged in Narrative Sensemaking. NAACL-HLT (Student Research Workshop) 2018: 136-143 - 2017
- [c19]Christopher Michael Homan, Jon I. Schull, Akshai Prabhu:
On the Genesis of an Assistive Technology Crowdsourcing Community. CHI Extended Abstracts 2017: 1003-1011 - [c18]Biru Cui, Shanchieh Jay Yang, Christopher M. Homan:
Modeling Information Sharing Behavior on Q&A Forums. PAKDD (2) 2017: 51-63 - 2016
- [c17]Tong Liu, Christopher Homan, Cecilia Ovesdotter Alm, Megan C. Lytle, Ann Marie White, Henry A. Kautz:
Understanding Discourse on Work and Job-Related Well-Being in Public Social Media. ACL (1) 2016 - [c16]Andamlak Terkik, Emily Prud'hommeaux, Cecilia Ovesdotter Alm, Christopher Homan, Scott Franklin:
Analyzing Gender Bias in Student Evaluations. COLING 2016: 868-876 - [c15]Mayuresh Oak, Anil Behera, Titus Thomas, Cecilia Ovesdotter Alm, Emily Prud'hommeaux, Christopher Homan, Raymond W. Ptucha:
Generating Clinically Relevant Texts: A Case Study on Life-Changing Events. CLPsych@HLT-NAACL 2016: 85-94 - 2015
- [c14]Nicolas Schrading, Cecilia Ovesdotter Alm, Ray Ptucha, Christopher Homan:
An Analysis of Domestic Abuse Discourse on Reddit. EMNLP 2015: 2577-2583 - [c13]Nicolas Schrading, Cecilia Ovesdotter Alm, Raymond W. Ptucha, Christopher Homan:
#WhyIStayed, #WhyILeft: Microblogging to Make Sense of Domestic Abuse. HLT-NAACL 2015: 1281-1286 - [c12]Patrick N. Morabito, Amanda V. Cook, Christopher M. Homan, Michael E. Long:
Agent-Based Models of Copycat Suicide. SBP 2015: 369-374 - 2014
- [c11]Christopher Homan, Ravdeep Johar, Tong Liu, Megan C. Lytle-Flint, Vincent Silenzio, Cecilia Ovesdotter Alm:
Toward Macro-Insights for Suicide Prevention: Analyzing Fine-Grained Distress at Scale. CLPsych@ACL 2014: 107-117 - [c10]Biru Cui, Shanchieh Jay Yang, Christopher Homan:
Non-independent Cascade Formation: Temporal and Spatial Effects. CIKM 2014: 1923-1926 - [c9]Christopher M. Homan, Naiji Lu, Xin Tu, Megan C. Lytle, Vincent Silenzio:
Social structure and depression in TrevorSpace. CSCW 2014: 615-625 - [c8]Walter S. Lasecki, Christopher M. Homan, Jeffrey P. Bigham:
Tuning the Diversity of Open-Ended Responses From the Crowd. HCOMP 2014: 36-37 - 2013
- [c7]Christopher M. Homan, Vincent Silenzio, Randall Sell:
Respondent-Driven Sampling in Online Social Networks. SBP 2013: 403-411 - 2009
- [c6]Ioannis Caragiannis, Jason A. Covey, Michal Feldman, Christopher M. Homan, Christos Kaklamanis, Nikos Karanikolas, Ariel D. Procaccia, Jeffrey S. Rosenschein:
On the approximability of Dodgson and Young elections. SODA 2009: 1058-1067 - 2007
- [c5]Sven Kosub, Christopher M. Homan:
Dichotomy Results for Fixed Point Counting in Boolean Dynamical Systems. ICTCS 2007: 163-174 - 2006
- [c4]Christopher Homan, Andrew Pavlo, Jonathan Schull:
Smoother Transitions Between Breadth-First-Spanning-Tree-Based Drawings. GD 2006: 442-445 - [c3]Christopher M. Homan, Lane A. Hemaspaandra:
Guarantees for the Success Frequency of an Algorithm for Finding Dodgson-Election Winners. MFCS 2006: 528-539 - [c2]Lane A. Hemaspaandra, Christopher M. Homan, Sven Kosub:
Cluster Computing and the Power of Edge Recognition. TAMC 2006: 283-294 - 2002
- [c1]Christopher M. Homan, Mayur Thakur:
One-Way Permutations and Self-Witnessing Languages. IFIP TCS 2002: 243-254
Informal and Other Publications
- 2024
- [i29]Mamadou K. Keita, Elysabhete Amadou Ibrahim, Habibatou Abdoulaye Alfari, Christopher Homan:
Feriji: A French-Zarma Parallel Corpus, Glossary & Translator. CoRR abs/2406.05888 (2024) - [i28]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) - 2023
- [i27]Lora Aroyo, Mark Diaz, Christopher Homan, Vinodkumar Prabhakaran, Alex S. Taylor, Ding Wang:
The Reasonable Effectiveness of Diverse Evaluation Data. CoRR abs/2301.09406 (2023) - [i26]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) - [i25]Lora Aroyo, Alex S. Taylor, Mark Diaz, Christopher M. Homan, Alicia Parrish, Greg Serapio-García, Vinodkumar Prabhakaran, Ding Wang:
DICES Dataset: Diversity in Conversational AI Evaluation for Safety. CoRR abs/2306.11247 (2023) - [i24]Christopher M. Homan, Greg Serapio-García, Lora Aroyo, Mark Diaz, Alicia Parrish, Vinodkumar Prabhakaran, Alex S. Taylor, Ding Wang:
Intersectionality in Conversational AI Safety: How Bayesian Multilevel Models Help Understand Diverse Perceptions of Safety. CoRR abs/2306.11530 (2023) - [i23]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) - [i22]Vinodkumar Prabhakaran, Christopher Homan, Lora Aroyo, Alicia Parrish, Alex S. Taylor, Mark Díaz, Ding Wang:
A Framework to Assess (Dis)agreement Among Diverse Rater Groups. CoRR abs/2311.05074 (2023) - 2021
- [i21]Allahsera Auguste Tapo, Michael Leventhal, Sarah Luger, Christopher M. Homan, Marcos Zampieri:
Domain-specific MT for Low-resource Languages: The case of Bambara-French. AfricaNLP 2021 - [i20]Abhinandan Desai, Kai North, Marcos Zampieri, Christopher M. Homan:
LCP-RIT at SemEval-2021 Task 1: Exploring Linguistic Features for Lexical Complexity Prediction. CoRR abs/2105.08780 (2021) - [i19]Tharindu Cyril Weerasooriya, Alexander G. Ororbia II, Christopher M. Homan:
Improving Label Quality by Jointly Modeling Items and Annotators. CoRR abs/2106.10600 (2021) - [i18]Saurabh Gaikwad, Tharindu Ranasinghe, Marcos Zampieri, Christopher M. Homan:
Cross-lingual Offensive Language Identification for Low Resource Languages: The Case of Marathi. CoRR abs/2109.03552 (2021) - 2020
- [i17]Tharindu Cyril Weerasooriya, Tong Liu, Christopher M. Homan:
Neighborhood-based Pooling for Population-level Label Distribution Learning. CoRR abs/2003.07406 (2020) - [i16]Allahsera Auguste Tapo, Bakary Coulibaly, Sébastien Diarra, Christopher Homan, Julia Kreutzer, Sarah Luger, Arthur Nagashima, Marcos Zampieri, Michael Leventhal:
Neural Machine Translation for Extremely Low-Resource African Languages: A Case Study on Bambara. CoRR abs/2011.05284 (2020) - 2019
- [i15]Tong Liu, Christopher M. Homan:
Twitter Job/Employment Corpus: A Dataset of Job-Related Discourse Built with Humans in the Loop. CoRR abs/1901.10619 (2019) - 2017
- [i14]Tong Liu, Qijin Cheng, Christopher M. Homan, Vincent M. B. Silenzio:
Learning from various labeling strategies for suicide-related messages on social media: An experimental study. CoRR abs/1701.08796 (2017) - 2016
- [i13]Sang Won Lee, Yiwei Yang, Shiyan Yan, Yujin Zhang, Isabelle Wong, Zhengxi Tan, Miles McGruder, Christopher Homan, Walter S. Lasecki:
Creating Interactive Behaviors in Early Sketch by Recording and Remixing Crowd Demonstrations. CoRR abs/1609.01382 (2016) - 2015
- [i12]Tong Liu, Christopher M. Homan, Cecilia Ovesdotter Alm, Ann Marie White, Megan C. Lytle-Flint, Henry A. Kautz:
Job-related discourse on social media. CoRR abs/1511.04805 (2015) - 2014
- [i11]Walter S. Lasecki, Christopher M. Homan, Jeffrey P. Bigham:
Tuning the Diversity of Open-Ended Responses from the Crowd. CoRR abs/1408.6621 (2014) - 2013
- [i10]Christopher M. Homan, Vincent Silenzio, Randall Sell:
Respondent-Driven Sampling in Online Social Networks. CoRR abs/1308.6356 (2013) - 2008
- [i9]Jason A. Covey, Christopher Homan:
A $O(\log m)$, deterministic, polynomial-time computable approximation of Lewis Carroll's scoring rule. CoRR abs/0804.1421 (2008) - [i8]Christopher M. Homan, Sven Kosub:
Dichotomy Results for Fixed Point Counting in Boolean Dynamical Systems. CoRR abs/0812.0283 (2008) - 2006
- [i7]Melanie J. Agnew, Christopher M. Homan:
Plane Decompositions as Tools for Approximation. CoRR abs/cs/0602057 (2006) - [i6]Andrew Pavlo, Christopher Homan, Jonathan Schull:
A parent-centered radial layout algorithm for interactive graph visualization and animation. CoRR abs/cs/0606007 (2006) - 2005
- [i5]Lane A. Hemaspaandra, Christopher M. Homan, Sven Kosub, Klaus W. Wagner:
The Complexity of Computing the Size of an Interval. CoRR abs/cs/0502058 (2005) - [i4]Lane A. Hemaspaandra, Christopher M. Homan, Sven Kosub:
Cluster Computing and the Power of Edge Recognition. CoRR abs/cs/0509060 (2005) - [i3]Christopher M. Homan, Lane A. Hemaspaandra:
Guarantees for the Success Frequency of an Algorithm for Finding Dodgson-Election Winners. CoRR abs/cs/0509061 (2005) - 2000
- [i2]Christopher M. Homan:
Low Ambiguity in Strong, Total, Associative, One-Way Functions. CoRR cs.CC/0010005 (2000) - 1999
- [i1]Alina Beygelzimer, Lane A. Hemaspaandra, Christopher M. Homan, Jörg Rothe:
One-Way Functions in Worst-Case Cryptography: Algebraic and Security Properties. CoRR cs.CC/9911007 (1999)
Coauthor Index
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