The Liquid Metal Blokus Duo Design. - Erik R. Altman; Joshua S. Auerbach; David F. Bacon; Ioana Baldini; Perry Cheng; Stephen J. Fink; Rodric M. Rabbah (FPT, 2013)

Predicting GPU Performance from CPU Runs Using Machine Learning. - Ioana Baldini; Stephen J. Fink; Erik R. Altman (SBAC-PAD, 2014)

CanaryAdvisor: a statistical-based tool for canary testing (demo). - Alexander Tarvo; Peter F. Sweeney; Nick Mitchell; V. T. Rajan; Matthew Arnold; Ioana Baldini (ISSTA, 2015)

Self-contained, accurate precomputation prefetching. - Islam Atta; Xin Tong 005; Vijayalakshmi Srinivasan; Ioana Baldini; Andreas Moshovos (MICRO, 2015)

Cloud-native, event-based programming for mobile applications. - Ioana Baldini; Paul C. Castro; Perry Cheng; Stephen J. Fink; Vatche Ishakian; Nick Mitchell; Vinod Muthusamy; Rodric Rabbah; Philippe Suter (MOBILESoft, 2016)

Serverless Computing: Current Trends and Open Problems. - Ioana Baldini; Paul C. Castro; Kerry Shih-Ping Chang; Perry Cheng; Stephen Fink; Vatche Ishakian; Nick Mitchell; Vinod Muthusamy; Rodric Rabbah; Aleksander Slominski; Philippe Suter (Research Advances in Cloud Computing, 2017)

Machine Representation of Data Analyses: Towards a Platform for Collaborative Data Science. - Evan Patterson; Ioana Baldini; Aleksandra Mojsilovic; Kush R. Varshney (AAAI Spring Symposia, 2017)

The serverless trilemma: function composition for serverless computing. - Ioana Baldini; Perry Cheng; Stephen J. Fink; Nick Mitchell; Vinod Muthusamy; Rodric Rabbah; Philippe Suter; Olivier Tardieu (Onward!, 2017)

Serverless Computing: Current Trends and Open Problems. - Ioana Baldini; Paul C. Castro; Kerry Shih-Ping Chang; Perry Cheng; Stephen J. Fink; Vatche Ishakian; Nick Mitchell; Vinod Muthusamy; Rodric M. Rabbah; Aleksander Slominski; Philippe Suter (CoRR, 2017)

Dataflow representation of data analyses: Toward a platform for collaborative data science. - Evan Patterson; Robert N. McBurney; H. Schmidt; Ioana Baldini; Aleksandra Mojsilovic; Kush R. Varshney (IBM J. Res. Dev., 2017)

Data Driven Techniques for Organizing Scientific Articles Relevant to Biomimicry. - Yuanshuo Zhao; Ioana Baldini; Prasanna Sattigeri; Inkit Padhi; Yoong Keok Lee; Ethan Smith (AIES, 2018)

Semantic Representation of Data Science Programs. - Evan Patterson; Ioana Baldini; Aleksandra Mojsilovic; Kush R. Varshney (IJCAI, 2018)

Teaching machines to understand data science code by semantic enrichment of dataflow graphs. - Evan Patterson; Ioana Baldini; Aleksandra Mojsilovic; Kush R. Varshney (CoRR, 2018)

Reports of the AAAI 2019 Spring Symposium Series. - Ioana Baldini; Clark W. Barrett; Antonio Chella; Carlos Cinelli; David Gamez; Leilani H. Gilpin; Knut Hinkelmann; Dylan Holmes; Takashi Kido; Murat Kocaoglu; William F. Lawless; Alessio Lomuscio; et al. (AI Mag., 2019)

How Data Scientists Work Together With Domain Experts in Scientific Collaborations: To Find The Right Answer Or To Ask The Right Question? - Yaoli Mao; Dakuo Wang; Michael J. Muller; Kush R. Varshney; Ioana Baldini; Casey Dugan; Aleksandra Mojsilovic (CoRR, 2019)

Drug Repurposing for Cancer: An NLP Approach to Identify Low-Cost Therapies. - Shivashankar Subramanian; Ioana Baldini; Sushma Ravichandran; Dmitriy A. Katz-Rogozhnikov; Karthikeyan Natesan Ramamurthy; Prasanna Sattigeri; Kush R. Varshney; Annmarie Wang; Pradeep Mangalath; Laura B. Kleiman (CoRR, 2019)

How Data ScientistsWork Together With Domain Experts in Scientific Collaborations: To Find The Right Answer Or To Ask The Right Question? - Yaoli Mao; Dakuo Wang; Michael J. Muller; Kush R. Varshney; Ioana Baldini; Casey Dugan; Aleksandra Mojsilovic (Proc. ACM Hum. Comput. Interact., 2019)

A Natural Language Processing System for Extracting Evidence of Drug Repurposing from Scientific Publications. - Shivashankar Subramanian; Ioana Baldini; Sushma Ravichandran; Dmitriy A. Katz-Rogozhnikov; Karthikeyan Natesan Ramamurthy; Prasanna Sattigeri; Kush R. Varshney; Annmarie Wang; Pradeep Mangalath; Laura B. Kleiman (AAAI, 2020)

Exploring the Efficacy of Generic Drugs in Treating Cancer. - Ioana Baldini; Mariana Bernagozzi; Sulbha Aggarwal; Mihaela A. Bornea; Saksham Chawla; Joppe Geluykens; Dmitriy A. Katz-Rogozhnikov; Pratik Mukherjee; Smruthi Ramesh; Sara Rosenthal; Jagrati Sharma; Kush R. Varshney; et al. (AAAI, 2021)

Biomedical Corpus Filtering: A Weak Supervision Paradigm With Infused Domain Expertise. - Sejal Dua; Ioana Baldini; Dmitriy A. Katz-Rogozhnikov; Emily van der Veen; Allison Britt; Pradeep Mangalath; Laura B. Kleiman; Catherine Del Vecchio Fitz (SDU@AAAI, 2021)

Biomedical Interpretable Entity Representations. - Diego Garcia-Olano; Yasumasa Onoe; Ioana Baldini; Joydeep Ghosh; Byron C. Wallace; Kush R. Varshney (ACL/IJCNLP (Findings), 2021)

Automated Meta-Analysis: A Causal Learning Perspective. - Lu Cheng 001; Dmitriy A. Katz-Rogozhnikov; Kush R. Varshney; Ioana Baldini (CoRR, 2021)

Your fairness may vary: Group fairness of pretrained language models in toxic text classification. - Ioana Baldini; Dennis Wei; Karthikeyan Natesan Ramamurthy; Mikhail Yurochkin; Moninder Singh (CoRR, 2021)

Ground-Truth, Whose Truth? - Examining the Challenges with Annotating Toxic Text Datasets. - Kofi Arhin; Ioana Baldini; Dennis Wei; Karthikeyan Natesan Ramamurthy; Moninder Singh (CoRR, 2021)

Your fairness may vary: Pretrained language model fairness in toxic text classification. - Ioana Baldini; Dennis Wei; Karthikeyan Natesan Ramamurthy; Moninder Singh; Mikhail Yurochkin (ACL (Findings), 2022)

Write It Like You See It: Detectable Differences in Clinical Notes by Race Lead to Differential Model Recommendations. - Hammaad Adam; Ming-Ying Yang; Kenrick Cato; Ioana Baldini; Charles Senteio; Leo Anthony Celi; Jiaming Zeng; Moninder Singh; Marzyeh Ghassemi (AIES, 2022)

Evaluating Fairness of Synthetic Healthcare Data Models. - Karan Bhanot; Ioana Baldini; Dennis Wei; Jiaming Zeng; Kristin P. Bennett (AMIA, 2022)

Downstream Fairness Caveats with Synthetic Healthcare Data. - Karan Bhanot; Ioana Baldini; Dennis Wei; Jiaming Zeng; Kristin P. Bennett (CoRR, 2022)

Stress-Testing Bias Mitigation Algorithms to Understand Fairness Vulnerabilities. - Karan Bhanot; Ioana Baldini; Dennis Wei; Jiaming Zeng; Kristin P. Bennett (AIES, 2023)

Explainable Cross-Topic Stance Detection for Search Results. - Tim Draws; Karthikeyan Natesan Ramamurthy; Ioana Baldini; Amit Dhurandhar; Inkit Padhi; Benjamin Timmermans; Nava Tintarev (CHIIR, 2023)

Adversarial Auditing of Machine Learning Models under Compound Shift. - Karan Bhanot; Dennis Wei; Ioana Baldini; Kristin P. Bennett (ESANN, 2023)

Keeping Up with the Language Models: Robustness-Bias Interplay in NLI Data and Models. - Ioana Baldini; Chhavi Yadav; Payel Das; Kush R. Varshney (CoRR, 2023)

Subtle Misogyny Detection and Mitigation: An Expert-Annotated Dataset. - Brooklyn Sheppard; Anna Richter; Allison Cohen; Elizabeth Allyn Smith; Tamara Kneese; Carolyne Pelletier; Ioana Baldini; Yue Dong 002 (CoRR, 2023)

SocialStigmaQA: A Benchmark to Uncover Stigma Amplification in Generative Language Models. - Manish Nagireddy; Lamogha Chiazor; Moninder Singh; Ioana Baldini (AAAI, 2024)

Fairness-Aware Structured Pruning in Transformers. - Abdelrahman Zayed; Gonçalo Mordido; Samira Shabanian; Ioana Baldini; Sarath Chandar (AAAI, 2024)

Biasly: An Expert-Annotated Dataset for Subtle Misogyny Detection and Mitigation. - Brooklyn Sheppard; Anna Richter; Allison Cohen; Elizabeth Allyn Smith; Tamara Kneese; Carolyne Pelletier; Ioana Baldini; Yue Dong 002 (ACL (Findings), 2024)

Why Don't Prompt-Based Fairness Metrics Correlate? - Abdelrahman Zayed; Gonçalo Mordido; Ioana Baldini; Sarath Chandar (ACL (1), 2024)

DARE to Diversify: DAta Driven and Diverse LLM REd Teaming. - Manish Nagireddy; Bernat Guillen Pegueroles; Ioana Baldini (KDD, 2024)

Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations. - Swapnaja Achintalwar; Adriana Alvarado Garcia; Ateret Anaby-Tavor; Ioana Baldini; Sara E. Berger; Bishwaranjan Bhattacharjee; Djallel Bouneffouf 001; Subhajit Chaudhury; Pin-Yu Chen; Lamogha Chiazor; Elizabeth M. Daly; Rogério Abreu de Paula; et al. (CoRR, 2024)

Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations. - Swapnaja Achintalwar; Ioana Baldini; Djallel Bouneffouf 001; Joan Byamugisha; Maria Chang 001; Pierre L. Dognin; Eitan Farchi; Ndivhuwo Makondo; Aleksandra Mojsilovic; Manish Nagireddy; Karthikeyan Natesan Ramamurthy; Inkit Padhi; et al. (IEEE Internet Comput., 2024)

SHADES: Towards a Multilingual Assessment of Stereotypes in Large Language Models. - Margaret Mitchell; Giuseppe Attanasio; Ioana Baldini; Miruna Clinciu; Jordan Clive; Pieter Delobelle; Manan Dey; Sil Hamilton; Timm Dill; Jad Doughman; Ritam Dutt; Avijit Ghosh; et al. (NAACL (Long Papers), 2025)