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ORCIDChristopher Homan
Christopher M. Homan – Christopher Michael Homan
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- affiliation: Rochester Institute of Technology, Henrietta, NY, USA
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2020 – today
- 2026
[c54]Deepak Pandita, Flip Korn, Chris Welty, Christopher M. Homan:
Forest vs Tree: The (N, K) Trade-off in Reproducible ML Evaluation. AAAI 2026: 24736-24744- [c53]Deepak Pandita, Tharindu Cyril Weerasooriya, Ankit Shah, Isabelle Diana May-Xin Ng, Christopher M. Homan, Wei Wei:
ProRefine: Inference-Time Prompt Refinement with Textual Feedback (Student Abstract). AAAI 2026: 41343-41345 - [c52]Christopher M. Homan, Flip Korn, Deepak Pandita, Chris Welty:
How Many Ratings per Item are Necessary for Reliable Significance Testing? EACL (Findings) 2026: 4258-4273 - [c51]Kimberly Fluet
, Lane A. Hemaspaandra, Christopher Homan:
Conceptual Models for Teaching and Learning Computer Science Theory. SIGCSE (2) 2026: 1333-1334 - [c50]Kimberly Fluet, Christopher Homan:
Fostering Computer Science Theory Literacy: What makes a good conceptual model? SIGCSE (2) 2026: 1698 - 2025
- [c49]Sujan Dutta, Deepak Pandita, Tharindu Cyril Weerasooriya, Marcos Zampieri, Christopher M. Homan, Ashiqur R. KhudaBukhsh:
ARTICLE: Annotator Reliability Through In-Context Learning. AAAI 2025: 14230-14237 - [c48]Sujan Dutta, Deepak Pandita, Tharindu Cyril Weerasooriya, Marcos Zampieri, Christopher M. Homan, Ashiqur R. KhudaBukhsh:
ARTICLE: Annotator Reliability Through In-Context Learning (Student Abstract). AAAI 2025: 29356-29358 - [c47]Jonathan Pofcher, Christopher M. Homan, Randall Sell, Ashiqur R. KhudaBukhsh:
Hope vs. Hate: Understanding User Interactions with LGBTQ+ News Content in Mainstream US News Media through the Lens of Hope Speech. EMNLP 2025: 19862-19888 - [c46]Shanilka Haturusinghe, Tharindu Cyril Weerasooriya, Christopher M. Homan, Marcos Zampieri, Sidath Ravindra Liyanage:
Subasa - Adapting Language Models for Low-resourced Offensive Language Detection in Sinhala. NAACL (Student Research Workshop) 2025: 260-270 - [c45]Allahsera Auguste Tapo, Nouhoum Souleymane Coulibaly, Seydou Diallo, Sébastien Diarra, Christopher M. Homan, Mamadou K. Keita, Michael Leventhal:
GAIfE: Using GenAI to Improve Literacy in Low-resourced Settings. NAACL (Findings) 2025: 7914-7929 - [c44]Allahsera Auguste Tapo, Kevin Assogba, Christopher M. Homan, M. Mustafa Rafique, Marcos Zampieri:
Bayelemabaga: Creating Resources for Bambara NLP. NAACL (Long Papers) 2025: 12060-12070 - [i41]Jonathan Pofcher, Christopher M. Homan, Randall Sell, Ashiqur R. KhudaBukhsh:
Hope vs. Hate: Understanding User Interactions with LGBTQ+ News Content in Mainstream US News Media through the Lens of Hope Speech. CoRR abs/2502.09004 (2025) - [i40]Chris Santos-Lang, Christopher M. Homan:
MAD Chairs: A new tool to evaluate AI. CoRR abs/2503.20986 (2025) - [i39]Shanilka Haturusinghe, Tharindu Cyril Weerasooriya, Marcos Zampieri, Christopher M. Homan, S. R. Liyanage:
Subasa - Adapting Language Models for Low-resourced Offensive Language Detection in Sinhala. CoRR abs/2504.02178 (2025) - [i38]Deepak Pandita, Tharindu Cyril Weerasooriya, Ankit Parag Shah, Christopher M. Homan, Wei Wei:
ProRefine: Inference-time Prompt Refinement with Textual Feedback. CoRR abs/2506.05305 (2025) - [i37]Deepak Pandita, Flip Korn, Chris Welty, Christopher M. Homan:
Forest vs Tree: The (N, K) Trade-off in Reproducible ML Evaluation. CoRR abs/2508.03663 (2025) - [i36]Mandira Sawkar, Samay U. Shetty, Deepak Pandita, Tharindu Cyril Weerasooriya, Christopher M. Homan:
LPI-RIT at LeWiDi-2025: Improving Distributional Predictions via Metadata and Loss Reweighting with DisCo. CoRR abs/2508.08163 (2025) - [i35]Mamadou K. Keita, Christopher Homan, Sébastien Diarra:
R2T: Rule-Encoded Loss Functions for Low-Resource Sequence Tagging. CoRR abs/2510.13854 (2025) - [i34]Mamadou K. Keita, Christopher Homan, Huy Le:
NSL-MT: Linguistically Informed Negative Samples for Efficient Machine Translation in Low-Resource Languages. CoRR abs/2511.09537 (2025) - [i33]Mamadou K. Keita, Sébastien Diarra, Christopher Homan, Seydou Diallo:
InstructLR: A Scalable Approach to Create Instruction Dataset for Under-Resourced Languages. CoRR abs/2512.02213 (2025) - 2024
- [c43]Mamadou K. Keita, Elysabhete Amadou Ibrahim, Habibatou Abdoulaye Alfari, Christopher Homan:
Feriji: A French-Zarma Parallel Corpus, Glossary & Translator. ACL (Student Research Workshop) 2024: 1-9 - [c42]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 - [c41]Allahsera Tapo, Éric Le Ferrand, Zoey Liu, Christopher Homan, Emily Prud'hommeaux:
Leveraging Speech Data Diversity to Document Indigenous Heritage and Culture. INTERSPEECH 2024 - [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 - [i32]Mamadou K. Keita, Elysabhete Amadou Ibrahim, Habibatou Abdoulaye Alfari, Christopher Homan:
Feriji: A French-Zarma Parallel Corpus, Glossary & Translator. CoRR abs/2406.05888 (2024) - [i31]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) - [i30]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) - [i29]Mamadou K. Keita, Christopher Homan, Sofiane Abdoulaye Hamani, Adwoa Bremang, Marcos Zampieri, Habibatou Abdoulaye Alfari, Elysabhete Amadou Ibrahim, Dennis Owusu:
Grammatical Error Correction for Low-Resource Languages: The Case of Zarma. CoRR abs/2410.15539 (2024) - [i28]Christopher Homan, Flip Korn, Chris Welty:
How Many Ratings per Item are Necessary for Reliable Significance Testing? CoRR abs/2412.02968 (2024) - 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 - [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) - 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 - [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
- [j11]Mike Schaekermann, Christopher Homan, Lora Aroyo, Praveen K. Paritosh, Kurt Bollacker, Chris Welty:
The AI Bookie - Place Your Bets: Will Machine Learning Outgrow Human Labeling? AI Mag. 41(4): 123-126 (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 - [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)
2010 – 2019
- 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 - [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) - 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 - [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
- [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 - [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
- [j10]Christopher M. Homan, Sven Kosub:
Dichotomy results for fixed point counting in boolean dynamical systems. Theor. Comput. Sci. 573: 16-25 (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 - [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
- [j9]Walter S. Lasecki, Christopher Homan, Jeffrey P. Bigham:
Architecting Real-Time Crowd-Powered Systems. Hum. Comput. 1(1): 67-93 (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 - [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
- [c7]Christopher M. Homan, Vincent Silenzio, Randall Sell:
Respondent-Driven Sampling in Online Social Networks. SBP 2013: 403-411 - [i10]Christopher M. Homan, Vincent Silenzio, Randall Sell:
Respondent-Driven Sampling in Online Social Networks. CoRR abs/1308.6356 (2013) - 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)
2000 – 2009
- 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) - [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 - 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) - 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) - [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 - [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) - 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) - 2002
- [c1]Christopher M. Homan, Mayur Thakur:
One-Way Permutations and Self-Witnessing Languages. IFIP TCS 2002: 243-254 - 2000
- [i2]Christopher M. Homan:
Low Ambiguity in Strong, Total, Associative, One-Way Functions. CoRR cs.CC/0010005 (2000)
1990 – 1999
- 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) - [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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