Domain-Independent Quality Measures for Crowd Truth Disagreement. - Oana Inel; Lora Aroyo; Chris Welty; Robert-Jan Sips (DeRiVE@ISWC, 2013)

Content and Behaviour Based Metrics for Crowd Truth. - Guillermo Soberon; Lora Aroyo; Chris Welty; Oana Inel; Manfred Overmeen; Hui Lin (CrowdSem, 2013)

CrowdTruth: Machine-Human Computation Framework for Harnessing Disagreement in Gathering Annotated Data. - Oana Inel; Khalid Khamkham; Tatiana Cristea; Anca Dumitrache; Arne Rutjes; Jelle van der Ploeg; Lukasz Romaszko; Lora Aroyo; Robert-Jan Sips (ISWC (2), 2014)

Provenance-driven Representation of Crowdsourcing Data for Efficient Data Analysis. - Carlos Martinez-Ortiz; Lora Aroyo; Oana Inel; Stavros Champilomatis; Anca Dumitrache; Benjamin Timmermans (e-Science, 2015)

DIVE into the event-based browsing of linked historical media. - Victor de Boer; Johan Oomen; Oana Inel; Lora Aroyo; Elco van Staveren; Werner Helmich; Dennis de Beurs (J. Web Semant., 2015)

Time-aware Multi-Viewpoint Summarization of Multilingual Social Text Streams. - Zhaochun Ren; Oana Inel; Lora Aroyo; Maarten de Rijke (CIKM, 2016)

Machine-Crowd Annotation Workflow for Event Understanding Across Collections and Domains. - Oana Inel (ESWC, 2016)

Temporal Information Annotation: Crowd vs. Experts. - Tommaso Caselli; Rachele Sprugnoli; Oana Inel (LREC, 2016)

Crowdsourcing Salient Information from News and Tweets. - Oana Inel; Tommaso Caselli; Lora Aroyo (LREC, 2016)

Harnessing Diversity in Crowds and Machines for Better NER Performance. - Oana Inel; Lora Aroyo (ESWC (1), 2017)

Linking Dutch World War II Cultural Heritage Collections with Events Extracted by Machines and Crowds. - Jessie Both; Didi de Hooge; Ramses IJff; Oana Inel; Victor de Boer; Lora Aroyo (SEMANTiCS (Workshops), 2017)

Event Extraction From Radio News Bulletins. - Kim van Putten; Oana Inel; Victor de Boer; Lora Aroyo (SEMANTiCS (Workshops), 2017)

Optimizing Explorative Search for the Needs of Media Professionals: The DIVE+ Use Case. - Justin Verhulst; Oana Inel; Victor de Boer; Lora Aroyo (SEMANTiCS (Workshops), 2017)

Enriching Media Collections for Event-Based Exploration. - Victor de Boer; Liliana Melgar; Oana Inel; Carlos Martinez-Ortiz; Lora Aroyo; Johan Oomen (MTSR, 2017)

Studying Topical Relevance with Evidence-based Crowdsourcing. - Oana Inel; Giannis Haralabopoulos; Dan Li 015; Christophe Van Gysel; Zoltán Szlávik; Elena Simperl; Evangelos Kanoulas; Lora Aroyo (CIKM, 2018)

Crowdsourcing StoryLines: Harnessing the Crowd for Causal Relation Annotation. - Tommaso Caselli; Oana Inel (EventStory@Coling, 2018)

Challenges in Enabling Mixed Media Scholarly Research with Multi-media Data in a Sustainable Infrastructure. - Roeland Ordelman; Carlos Martinez-Ortiz; Liliana M. Melgar Estrada; Marijn Koolen; Jaap Blom; Willem Melder; Jasmijn van Gorp; Victor de Boer; Themistoklis Karavellas; Lora Aroyo; Thomas Poell; Norah Karrouche; et al. (DH, 2018)

CrowdTruth 2.0: Quality Metrics for Crowdsourcing with Disagreement (short paper). - Anca Dumitrache; Oana Inel; Lora Aroyo; Benjamin Timmermans; Chris Welty (SAD/CrowdBias@HCOMP, 2018)

A Study of Narrative Creation by Means of Crowds and Niches. - Oana Inel; Sabrina Sauer; Lora Aroyo (HCOMP (WIP&Demo), 2018)

Resource Interoperability for Sustainable Benchmarking: The Case of Events. - Chantal van Son; Oana Inel; Roser Morante; Lora Aroyo; Piek Vossen (LREC, 2018)

CrowdTruth 2.0: Quality Metrics for Crowdsourcing with Disagreement. - Anca Dumitrache; Oana Inel; Lora Aroyo; Benjamin Timmermans; Chris Welty (CoRR, 2018)

Validation Methodology for Expert-Annotated Datasets: Event Annotation Case Study. - Oana Inel; Lora Aroyo (LDK, 2019)

Crowdsourcing Inclusivity: Dealing with Diversity of Opinions, Perspectives and Ambiguity in Annotated Data. - Lora Aroyo; Anca Dumitrache; Oana Inel; Zoltán Szlávik; Benjamin Timmermans; Chris Welty (WWW (Companion Volume), 2019)

Local Crowdsourcing for Annotating Audio: the Elevator Annotator platform. - Themistoklis Karavellas; Anggarda Prameswari; Oana Inel; Victor de Boer (Hum. Comput., 2019)

You Do Not Decide for Me! Evaluating Explainable Group Aggregation Strategies for Tourism. - Shabnam Najafian; Daniel Herzog; Sihang Qiu; Oana Inel; Nava Tintarev (HT, 2020)

Someone really wanted that song but it was not me!: Evaluating Which Information to Disclose in Explanations for Group Recommendations. - Shabnam Najafian; Oana Inel; Nava Tintarev (IUI Companion, 2020)

Eliciting User Preferences for Personalized Explanations for Video Summaries. - Oana Inel; Nava Tintarev; Lora Aroyo (UMAP, 2020)

UMAP 2020 Workshop on Explainable User Models and Personalised Systems (ExUM) Chairs' Welcome & Organization. - Cataldo Musto; Nava Tintarev; Oana Inel; Marco Polignano; Giovanni Semeraro; Jürgen Ziegler 001 (UMAP (Adjunct Publication), 2020)

Workshop on Explainable User Models and Personalized Systems (ExUM 2020). - Cataldo Musto; Nava Tintarev; Oana Inel; Marco Polignano; Giovanni Semeraro; Jürgen Ziegler 001 (UMAP, 2020)

A Survey of Crowdsourcing in Medical Image Analysis. - Silas Nyboe Ørting; Andrew Doyle; Arno van Hilten; Matthias Hirth; Oana Inel; Christopher R. Madan; Panagiotis Mavridis; Helen Spiers; Veronika Cheplygina (Hum. Comput., 2020)

Operationalizing Framing to Support Multiperspective Recommendations of Opinion Pieces. - Mats Mulder; Oana Inel; Jasper Oosterman; Nava Tintarev (FAccT, 2021)

A Checklist to Combat Cognitive Biases in Crowdsourcing. - Tim Draws; Alisa Rieger; Oana Inel; Ujwal Gadiraju; Nava Tintarev (HCOMP, 2021)

Toward Benchmarking Group Explanations: Evaluating the Effect of Aggregation Strategies versus Explanation. - Francesco Barile; Shabnam Najafian; Tim Draws; Oana Inel; Alisa Rieger; Rishav Hada; Nava Tintarev (Perspectives@RecSys, 2021)

Workshop on Explainable User Models and Personalized Systems (ExUM 2021). - Cataldo Musto; Nava Tintarev; Oana Inel; Marco Polignano; Giovanni Semeraro; Jürgen Ziegler 001 (UMAP (Adjunct Publication), 2021)

Operationalizing Framing to Support MultiperspectiveRecommendations of Opinion Pieces. - Mats Mulder; Oana Inel; Jasper Oosterman; Nava Tintarev (CoRR, 2021)

Design Implications for Explanations: A Case Study on Supporting Reflective Assessment of Potentially Misleading Videos. - Oana Inel; Tomislav Duricic; Harmanpreet Kaur; Elisabeth Lex; Nava Tintarev (Frontiers Artif. Intell., 2021)

Empirical methodology for crowdsourcing ground truth. - Anca Dumitrache; Oana Inel; Benjamin Timmermans; Carlos Martinez-Ortiz; Robert-Jan Sips; Lora Aroyo; Chris Welty (Semantic Web, 2021)

Comprehensive Viewpoint Representations for a Deeper Understanding of User Interactions With Debated Topics. - Tim Draws; Oana Inel; Nava Tintarev; Christian Baden; Benjamin Timmermans (CHIIR, 2022)

Humans Disagree With the IoU for Measuring Object Detector Localization Error. - Ombretta Strafforello; Vanathi Rajasekart; Osman Semih Kayhan; Oana Inel; Jan van Gemert (ICIP, 2022)

QUARE: 1st Workshop on Measuring the Quality of Explanations in Recommender Systems. - Alessandro Piscopo; Oana Inel; Sanne Vrijenhoek; Martijn Millecamp; Krisztian Balog (SIGIR, 2022)

Workshop on Explainable User Models and Personalised Systems (ExUM). - Cataldo Musto; Amra Delic; Oana Inel; Marco Polignano; Amon Rapp; Giovanni Semeraro; Jürgen Ziegler 001 (UMAP (Adjunct Publication), 2022)

Understanding the Role of Explanation Modality in AI-assisted Decision-making. - Vincent Robbemond; Oana Inel; Ujwal Gadiraju (UMAP, 2022)

Fine-tuning machine confidence with human relevance for video discovery. - Oana Inel; Lora Aroyo (Interactions, 2022)

Report on the 1st Workshop on Measuring the Quality of Explanations in Recommender Systems (QUARE 2022) at SIGIR 2022. - Alessandro Piscopo; Oana Inel; Sanne Vrijenhoek; Martijn Millecamp; Krisztian Balog (SIGIR Forum, 2022)

Viewpoint Diversity in Search Results. - Tim Draws; Nirmal Roy; Oana Inel; Alisa Rieger; Rishav Hada; Mehmet Orcun Yalcin; Benjamin Timmermans; Nava Tintarev (ECIR (1), 2023)

Multi-Mode Clustering for Graph-Based Lifelog Retrieval. - Luca Rossetto; Oana Inel; Svenja Lange; Florian Ruosch; Ruijie Wang 003; Abraham Bernstein (LSC@ICMR, 2023)

DataPerf: Benchmarks for Data-Centric AI Development. - Mark Mazumder; Colby R. Banbury; Xiaozhe Yao; Bojan Karlas; William Gaviria Rojas; Sudnya Frederick Diamos; Greg Diamos; Lynn He; Alicia Parrish; Hannah Rose Kirk; Jessica Quaye; Charvi Rastogi; et al. (NeurIPS, 2023)

QUARE: 2nd Workshop on Measuring the Quality of Explanations in Recommender Systems. - Oana Inel; Nicolas Mattis; Milda Norkute; Alessandro Piscopo; Timothée Schmude; Sanne Vrijenhoek; Krisztian Balog (RecSys, 2023)

5th Workshop on Explainable User Models and Personalised Systems (ExUM). - Cataldo Musto; Amra Delic; Oana Inel; Marco Polignano; Amon Rapp; Giovanni Semeraro; Jürgen Ziegler 001 (UMAP (Adjunct Publication), 2023)

Interaction Tasks for Explainable Recommender Systems. - Ibrahim Al Hazwani; Turki Alahmadi; Kathrin Wardatzky; Oana Inel; Mennatallah El-Assady; Jürgen Bernard (EuroVis (Posters), 2023)

Adversarial Nibbler: A Data-Centric Challenge for Improving the Safety of Text-to-Image Models. - Alicia Parrish; Hannah Rose Kirk; Jessica Quaye; Charvi Rastogi; Max Bartolo; Oana Inel; Juan Ciro; Rafael Mosquera; Addison Howard; Will Cukierski; D. Sculley; Vijay Janapa Reddi; et al. (CoRR, 2023)

Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection. - Oana Inel; Tim Draws; Lora Aroyo (CoRR, 2023)

Aligning Object Detector Bounding Boxes with Human Preference. - Ombretta Strafforello; Osman Semih Kayhan; Oana Inel; Klamer Schutte; Jan van Gemert (ECCV Workshops (12), 2024)

Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation. - Jessica Quaye; Alicia Parrish; Oana Inel; Charvi Rastogi; Hannah Rose Kirk; Minsuk Kahng; Erin van Liemt; Max Bartolo; Jess Tsang; Justin White; Nathan Clement; Rafael Mosquera; et al. (FAccT, 2024)

DWARF: Disease-Weighted Network for Attention Map Refinement. - Haozhe Luo; Aurélie Pahud de Mortanges; Oana Inel; Mauricio Reyes 001 (ISIC/iMIMIC/EARTH/DeCaF@MICCAI, 2024)

IDEA - Informfully Dataset with Enhanced Attributes. - Lucien Heitz; Nicolas Mattis; Oana Inel; Wouter van Atteveldt (NORMalize@RecSys, 2024)

Recommendations for the Recommenders: Reflections on Prioritizing Diversity in the RecSys Challenge. - Lucien Heitz; Sanne Vrijenhoek; Oana Inel (RecSys Challenge, 2024)

Casual Users and Rational Choices within Differential Privacy. - Narges Ashena; Oana Inel; Badrie L. Persaud; Abraham Bernstein (SP, 2024)

ScrollyPOI: A Narrative-Driven Interactive Recommender System for Points-of-Interest Exploration and Explainability. - Ibrahim Al Hazwani; Tiantian Luo; Oana Inel; Francesco Ricci 001; Mennatallah El-Assady; Jürgen Bernard (UMAP (Adjunct Publication), 2024)

ExUM 2024 - 6th Workshop on Explainable User Modeling and Personalised Systems. - Marco Polignano; Cataldo Musto; Amra Delic; Oana Inel; Amon Rapp; Giovanni Semeraro; Jürgen Ziegler 001 (UMAP (Adjunct Publication), 2024)

DWARF: Disease-weighted network for attention map refinement. - Haozhe Luo; Aurélie Pahud de Mortanges; Oana Inel; Abraham Bernstein; Mauricio Reyes 001 (CoRR, 2024)

Framing is Mightier than the Sword: Detection of Episodic and Thematic Framing in News Media. - Panagiotis Mavridis; Oana Inel; Xander Wilcke; Mykola Makhortykh; Markus de Jong; Honorata Mazepus; Antoaneta Dimitrova; Jesse de Vos; Alessandro Bozzon; Tobias Kuhn (Hum. Comput., 2024)

Evaluating explainable social choice-based aggregation strategies for group recommendation. - Francesco Barile; Tim Draws; Oana Inel; Alisa Rieger; Shabnam Najafian; Amir Ebrahimi Fard; Rishav Hada; Nava Tintarev (User Model. User Adapt. Interact., 2024)

Alan's Speakeasy - An Ecosystem for the Evaluation of Conversational Agents. - Luca Rossetto; Cristina Sarasua; Oana Inel; Juan Diego Bermeo; Pablo Sebastian Bolaños; Hugues Devimeux; Huiran Duan; Robin Hany; Athina Kyriakou; Dhivyabharathi Ramasamy; Varun Ghat Ravikumar; Konstantina Timoleon; et al. (WWW (Companion Volume), 2025)

Supplemental Material for Whom Do Explanations Serve? A Systematic Literature Survey of User Characteristics in Explainable Recommender Systems Evaluation. - Kathrin Wardatzky; Oana Inel; Luca Rossetto; Abraham Bernstein (Zenodo, 2025)

From Seed to Harvest: Augmenting Human Creativity with AI for Red-teaming Text-to-Image Models. - Jessica Quaye; Charvi Rastogi; Alicia Parrish; Oana Inel; Minsuk Kahng; Lora Aroyo; Vijay Janapa Reddi (CoRR, 2025)

Informfully Recommenders - Reproducibility Framework for Diversity-aware Intra-session Recommendations. - Lucien Heitz; Runze Li; Oana Inel; Abraham Bernstein (CoRR, 2025)

D-RDW: Diversity-Driven Random Walks for News Recommender Systems. - Runze Li; Lucien Heitz; Oana Inel; Abraham Bernstein (CoRR, 2025)

Whom do Explanations Serve? A Systematic Literature Survey of User Characteristics in Explainable Recommender Systems Evaluation. - Kathrin Wardatzky; Oana Inel; Luca Rossetto; Abraham Bernstein (Trans. Recomm. Syst., 2025)