Characterizing Information Diets of Social Media Users. - Juhi Kulshrestha; Muhammad Bilal Zafar; Lisette Espin Noboa; Krishna P. Gummadi; Saptarshi Ghosh 001 (ICWSM, 2015)

Understanding How Users Edit Ontologies: Comparing Hypotheses About Four Real-World Projects. - Simon Walk; Philipp Singer; Lisette Espin Noboa; Tania Tudorache; Mark A. Musen; Markus Strohmaier (ISWC (1), 2015)

A Hypotheses-driven Bayesian Approach for Understanding Edge Formation in Attributed Multigraphs. - Lisette Espin Noboa; Florian Lemmerich; Markus Strohmaier; Philipp Singer (COMPLEX NETWORKS, 2016)

Discovering and Characterizing Mobility Patterns in Urban Spaces: A Study of Manhattan Taxi Data. - Lisette Espin Noboa; Florian Lemmerich; Philipp Singer; Markus Strohmaier (WWW (Companion Volume), 2016)

Discovering and Explaining Mobility Patterns in Urban Spaces: A Study of Manhattan Taxi Data. - Lisette Espin Noboa; Florian Lemmerich; Philipp Singer; Markus Strohmaier (CoRR, 2016)

Comparing Hypotheses About Sequential Data: A Bayesian Approach and Its Applications. - Florian Lemmerich; Philipp Singer; Martin Becker 003; Lisette Espin Noboa; Dimitar Dimitrov 002; Denis Helic; Andreas Hotho; Markus Strohmaier (ECML/PKDD (3), 2017)

How Users Explore Ontologies on the Web: A Study of NCBO's BioPortal Usage Logs. - Simon Walk; Lisette Espin Noboa; Denis Helic; Markus Strohmaier; Mark A. Musen (WWW, 2017)

JANUS: A hypothesis-driven Bayesian approach for understanding edge formation in attributed multigraphs. - Lisette Espin Noboa; Florian Lemmerich; Markus Strohmaier; Philipp Singer (Appl. Netw. Sci., 2017)

Towards Quantifying Sampling Bias in Network Inference. - Lisette Espin Noboa; Claudia Wagner 001; Fariba Karimi 001; Kristina Lerman (WWW (Companion Volume), 2018)

HopRank: How Semantic Structure Influences Teleportation in PageRank (A Case Study on BioPortal). - Lisette Espín-Noboa; Florian Lemmerich; Simon Walk; Markus Strohmaier; Mark A. Musen (WWW, 2019)

Explaining classification performance and bias via network structure and sampling technique. - Lisette Espín-Noboa; Fariba Karimi 001; Bruno Ribeiro 001; Kristina Lerman; Claudia Wagner 001 (Appl. Netw. Sci., 2021)

Inequality and Inequity in Network-based Ranking and Recommendation Algorithms. - Lisette Espín-Noboa; Claudia Wagner 001; Markus Strohmaier; Fariba Karimi 001 (CoRR, 2021)

Link recommendations: Their impact on network structure and minorities. - Antonio Ferrara 003; Lisette Espin Noboa; Fariba Karimi 001; Claudia Wagner 001 (WebSci, 2022)

Edge Formation and its Influence in Machine Learning. - Lisette Espin Noboa (2022)

Interpreting wealth distribution via poverty map inference using multimodal data. - Lisette Espín-Noboa; János Kertész; Márton Karsai (WWW, 2023)

Tutorials at The Web Conference 2023. - Valeria Fionda; Olaf Hartig; Reyhaneh Abdolazimi; Sihem Amer-Yahia; Hongzhi Chen; Xiao Chen 016; Peng Cui 001; Jeffrey Dalton 001; Xin Luna Dong; Lisette Espín-Noboa; Wenqi Fan; Manuela Fritz; et al. (WWW (Companion Volume), 2023)

Social network modeling and applications, a tutorial. - Lisette Espín-Noboa; Tiago Peixoto; Fariba Karimi 001 (CoRR, 2023)

Cumulative Advantage of Brokerage in Academia. - Jan Bachmann; Lisette Espín-Noboa; Gerardo Iñiguez; Fariba Karimi 001 (CoRR, 2024)

A Comparative Analysis of Wealth Index Predictions in Africa between three Multi-Source Inference Models. - Márton Karsai; János Kertész; Lisette Espín-Noboa (CoRR, 2024)

hyperFA*IR: A hypergeometric approach to fair rankings with finite candidate pool. - Mauritz Niklas Cartier van Dissel; Samuel Martin-Gutierrez; Lisette Espín-Noboa; Ana María Jaramillo; Fariba Karimi 001 (FAccT, 2025)

Cannabis Use During Pregnancy: Insights from Online Discourse and Socioeconomic Indicators Across the USA and Canada. - Lisette Espín-Noboa; Nikou Farsiu; Márton Karsai; Daniel J. Corsi (ICWSM, 2025)

Whose Name Comes Up? Auditing LLM-Based Scholar Recommendations. - Daniele Barolo; Chiara Valentin; Fariba Karimi 001; Luis Galárraga; Gonzalo Méndez 002; Lisette Espín-Noboa (CoRR, 2025)

A new approach to estimate neighborhood socioeconomic status using supermarket transactions and GNNs. - Eduardo Cruz; Mónica Villavicencio; Carmen Vaca; Lisette Espín-Noboa; Nervo Verdezoto (EPJ Data Sci., 2025)