Oana Inel

79 papers A* 3A 9B 8C 1Journal 25Unranked 32
YearRankTypeTitle / Venue / Authors
2025 — conf
Alan's Speakeasy - An Ecosystem for the Evaluation of Conversational Agents.
WWW (Companion Volume)
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, Rosni Vasu, Ruijie Wang, Daan van der Weijden, Jan Willi, Abraham Bernstein
2025 A conf
D-RDW: Diversity-Driven Random Walks for News Recommender Systems.
RecSys
Runze Li, Lucien Heitz, Oana Inel, Abraham Bernstein
2025 J jnl
D-RDW: Diversity-Driven Random Walks for News Recommender Systems.
CoRR
Runze Li, Lucien Heitz, Oana Inel, Abraham Bernstein
2025 J jnl
From Seed to Harvest: Augmenting Human Creativity with AI for Red-teaming Text-to-Image Models.
CoRR
Jessica Quaye, Charvi Rastogi, Alicia Parrish, Oana Inel, Minsuk Kahng, Lora Aroyo, Vijay Janapa Reddi
2025 A conf
Informfully Recommenders - Reproducibility Framework for Diversity-aware Intra-session Recommendations.
RecSys
Lucien Heitz, Runze Li, Oana Inel, Abraham Bernstein
2025 J jnl
Informfully Recommenders - Reproducibility Framework for Diversity-aware Intra-session Recommendations.
CoRR
Lucien Heitz, Runze Li, Oana Inel, Abraham Bernstein
2025 A conf
PRISM: From Individual Preferences to Group Consensus through Conversational AI-Mediated and Visual Explanations.
RecSys
Ibrahim Al Hazwani, Oliver Robin Aschwanden, Oana Inel, Jürgen Bernard, Ludovico Boratto
2025 J jnl
Whom do Explanations Serve? A Systematic Literature Survey of User Characteristics in Explainable Recommender Systems Evaluation.
Trans. Recomm. Syst.
Kathrin Wardatzky, Oana Inel, Luca Rossetto, Abraham Bernstein
2024 — conf
Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation.
FAccT
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, Juan Ciro, Vijay Janapa Reddi, Lora Aroyo
2024 J jnl
Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation.
CoRR
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, Juan Ciro, Vijay Janapa Reddi, Lora Aroyo
2024 — conf
Aligning Object Detector Bounding Boxes with Human Preference.
ECCV Workshops (12)
Ombretta Strafforello, Osman Semih Kayhan, Oana Inel, Klamer Schutte, Jan van Gemert
2024 J jnl
Aligning Object Detector Bounding Boxes with Human Preference.
CoRR
Ombretta Strafforello, Osman Semih Kayhan, Oana Inel, Klamer Schutte, Jan van Gemert
2024 A* conf
Casual Users and Rational Choices within Differential Privacy.
SP
Narges Ashena, Oana Inel, Badrie L. Persaud, Abraham Bernstein
2024 — conf
DWARF: Disease-Weighted Network for Attention Map Refinement.
ISIC/iMIMIC/EARTH/DeCaF@MICCAI
Haozhe Luo, Aurélie Pahud de Mortanges, Oana Inel, Mauricio Reyes
2024 J jnl
DWARF: Disease-weighted network for attention map refinement.
CoRR
Haozhe Luo, Aurélie Pahud de Mortanges, Oana Inel, Abraham Bernstein, Mauricio Reyes
2024 J jnl
Evaluating explainable social choice-based aggregation strategies for group recommendation.
User Model. User Adapt. Interact.
Francesco Barile, Tim Draws, Oana Inel, Alisa Rieger, Shabnam Najafian, Amir Ebrahimi Fard, Rishav Hada, Nava Tintarev
2024 — conf
ExUM 2024 - 6th Workshop on Explainable User Modeling and Personalised Systems.
UMAP (Adjunct Publication)
Marco Polignano, Cataldo Musto, Amra Delic, Oana Inel, Amon Rapp, Giovanni Semeraro, Jürgen Ziegler
2024 J jnl
Framing is Mightier than the Sword: Detection of Episodic and Thematic Framing in News Media.
Hum. Comput.
Panagiotis Mavridis, Oana Inel, Xander Wilcke, Mykola Makhortykh, Markus de Jong, Honorata Mazepus, Antoaneta Dimitrova, Jesse de Vos, Alessandro Bozzon, Tobias Kuhn
2024 — conf
IDEA - Informfully Dataset with Enhanced Attributes.
NORMalize@RecSys
Lucien Heitz, Nicolas Mattis, Oana Inel, Wouter van Atteveldt
2024 — conf
Recommendations for the Recommenders: Reflections on Prioritizing Diversity in the RecSys Challenge.
RecSys Challenge
Lucien Heitz, Sanne Vrijenhoek, Oana Inel
2024 — conf
ScrollyPOI: A Narrative-Driven Interactive Recommender System for Points-of-Interest Exploration and Explainability.
UMAP (Adjunct Publication)
Ibrahim Al Hazwani, Tiantian Luo, Oana Inel, Francesco Ricci, Mennatallah El-Assady, Jürgen Bernard
2024 J jnl
Whom do Explanations Serve? A Systematic Literature Survey of User Characteristics in Explainable Recommender Systems Evaluation.
CoRR
Kathrin Wardatzky, Oana Inel, Luca Rossetto, Abraham Bernstein
2023 — conf
5th Workshop on Explainable User Models and Personalised Systems (ExUM).
UMAP (Adjunct Publication)
Cataldo Musto, Amra Delic, Oana Inel, Marco Polignano, Amon Rapp, Giovanni Semeraro, Jürgen Ziegler
2023 J jnl
Adversarial Nibbler: A Data-Centric Challenge for Improving the Safety of Text-to-Image Models.
CoRR
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, Lora Aroyo
2023 J jnl
Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection.
CoRR
Oana Inel, Tim Draws, Lora Aroyo
2023 A* conf
DataPerf: Benchmarks for Data-Centric AI Development.
NeurIPS
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, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Will Cukierski, Juan Ciro, Lora Aroyo, Bilge Acun, Lingjiao Chen, Mehul Raje, Max Bartolo, Evan Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Addison Howard, Oana Inel, Tariq Kane, Christine R. Kirkpatrick, D. Sculley, Tzu-Sheng Kuo, Jonas W. Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Y. Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi
2023 — conf
Interaction Tasks for Explainable Recommender Systems.
EuroVis (Posters)
Ibrahim Al Hazwani, Turki Alahmadi, Kathrin Wardatzky, Oana Inel, Mennatallah El-Assady, Jürgen Bernard
2023 — conf
Multi-Mode Clustering for Graph-Based Lifelog Retrieval.
LSC@ICMR
Luca Rossetto, Oana Inel, Svenja Lange, Florian Ruosch, Ruijie Wang, Abraham Bernstein
2023 A conf
QUARE: 2nd Workshop on Measuring the Quality of Explanations in Recommender Systems.
RecSys
Oana Inel, Nicolas Mattis, Milda Norkute, Alessandro Piscopo, Timothée Schmude, Sanne Vrijenhoek, Krisztian Balog
2023 — conf
Viewpoint Diversity in Search Results.
ECIR (1)
Tim Draws, Nirmal Roy, Oana Inel, Alisa Rieger, Rishav Hada, Mehmet Orcun Yalcin, Benjamin Timmermans, Nava Tintarev
2022 B conf
Comprehensive Viewpoint Representations for a Deeper Understanding of User Interactions With Debated Topics.
CHIIR
Tim Draws, Oana Inel, Nava Tintarev, Christian Baden, Benjamin Timmermans
2022 J jnl
Fine-tuning machine confidence with human relevance for video discovery.
Interactions
Oana Inel, Lora Aroyo
2022 B conf
Humans Disagree With the IoU for Measuring Object Detector Localization Error.
ICIP
Ombretta Strafforello, Vanathi Rajasekart, Osman Semih Kayhan, Oana Inel, Jan van Gemert
2022 J jnl
Humans disagree with the IoU for measuring object detector localization error.
CoRR
Ombretta Strafforello, Vanathi Rajasekart, Osman Semih Kayhan, Oana Inel, Jan van Gemert
2022 A* conf
QUARE: 1st Workshop on Measuring the Quality of Explanations in Recommender Systems.
SIGIR
Alessandro Piscopo, Oana Inel, Sanne Vrijenhoek, Martijn Millecamp, Krisztian Balog
2022 J jnl
Report on the 1st Workshop on Measuring the Quality of Explanations in Recommender Systems (QUARE 2022) at SIGIR 2022.
SIGIR Forum
Alessandro Piscopo, Oana Inel, Sanne Vrijenhoek, Martijn Millecamp, Krisztian Balog
2022 A conf
Understanding the Role of Explanation Modality in AI-assisted Decision-making.
UMAP
Vincent Robbemond, Oana Inel, Ujwal Gadiraju
2022 — conf
Workshop on Explainable User Models and Personalised Systems (ExUM).
UMAP (Adjunct Publication)
Cataldo Musto, Amra Delic, Oana Inel, Marco Polignano, Amon Rapp, Giovanni Semeraro, Jürgen Ziegler
2021 B conf
A Checklist to Combat Cognitive Biases in Crowdsourcing.
HCOMP
Tim Draws, Alisa Rieger, Oana Inel, Ujwal Gadiraju, Nava Tintarev
2021 J jnl
Design Implications for Explanations: A Case Study on Supporting Reflective Assessment of Potentially Misleading Videos.
Frontiers Artif. Intell.
Oana Inel, Tomislav Duricic, Harmanpreet Kaur, Elisabeth Lex, Nava Tintarev
2021 J jnl
Empirical methodology for crowdsourcing ground truth.
Semantic Web
Anca Dumitrache, Oana Inel, Benjamin Timmermans, Carlos Martinez-Ortiz, Robert-Jan Sips, Lora Aroyo, Chris Welty
2021 — conf
Operationalizing Framing to Support Multiperspective Recommendations of Opinion Pieces.
FAccT
Mats Mulder, Oana Inel, Jasper Oosterman, Nava Tintarev
2021 J jnl
Operationalizing Framing to Support MultiperspectiveRecommendations of Opinion Pieces.
CoRR
Mats Mulder, Oana Inel, Jasper Oosterman, Nava Tintarev
2021 — conf
Toward Benchmarking Group Explanations: Evaluating the Effect of Aggregation Strategies versus Explanation.
Perspectives@RecSys
Francesco Barile, Shabnam Najafian, Tim Draws, Oana Inel, Alisa Rieger, Rishav Hada, Nava Tintarev
2021 — conf
Workshop on Explainable User Models and Personalized Systems (ExUM 2021).
UMAP (Adjunct Publication)
Cataldo Musto, Nava Tintarev, Oana Inel, Marco Polignano, Giovanni Semeraro, Jürgen Ziegler
2020 J jnl
A Survey of Crowdsourcing in Medical Image Analysis.
Hum. Comput.
Silas Nyboe Ørting, Andrew Doyle, Arno van Hilten, Matthias Hirth, Oana Inel, Christopher R. Madan, Panagiotis Mavridis, Helen Spiers, Veronika Cheplygina
2020 A conf
Eliciting User Preferences for Personalized Explanations for Video Summaries.
UMAP
Oana Inel, Nava Tintarev, Lora Aroyo
2020 J jnl
Eliciting User Preferences for Personalized Explanations for Video Summaries.
CoRR
Oana Inel, Nava Tintarev, Lora Aroyo
2020 — conf
Someone really wanted that song but it was not me!: Evaluating Which Information to Disclose in Explanations for Group Recommendations.
IUI Companion
Shabnam Najafian, Oana Inel, Nava Tintarev
2020 — conf
UMAP 2020 Workshop on Explainable User Models and Personalised Systems (ExUM) Chairs' Welcome & Organization.
UMAP (Adjunct Publication)
Cataldo Musto, Nava Tintarev, Oana Inel, Marco Polignano, Giovanni Semeraro, Jürgen Ziegler
2020 A conf
Workshop on Explainable User Models and Personalized Systems (ExUM 2020).
UMAP
Cataldo Musto, Nava Tintarev, Oana Inel, Marco Polignano, Giovanni Semeraro, Jürgen Ziegler
2020 — conf
You Do Not Decide for Me! Evaluating Explainable Group Aggregation Strategies for Tourism.
HT
Shabnam Najafian, Daniel Herzog, Sihang Qiu, Oana Inel, Nava Tintarev
2019 J jnl
A Survey of Crowdsourcing in Medical Image Analysis.
CoRR
Silas Nyboe Ørting, Andrew Doyle, Matthias Hirth, Arno van Hilten, Oana Inel, Christopher R. Madan, Panagiotis Mavridis, Helen Spiers, Veronika Cheplygina
2019 — conf
Crowdsourcing Inclusivity: Dealing with Diversity of Opinions, Perspectives and Ambiguity in Annotated Data.
WWW (Companion Volume)
Lora Aroyo, Anca Dumitrache, Oana Inel, Zoltán Szlávik, Benjamin Timmermans, Chris Welty
2019 J jnl
Local Crowdsourcing for Annotating Audio: the Elevator Annotator platform.
Hum. Comput.
Themistoklis Karavellas, Anggarda Prameswari, Oana Inel, Victor de Boer
2019 C conf
Validation Methodology for Expert-Annotated Datasets: Event Annotation Case Study.
LDK
Oana Inel, Lora Aroyo
2018 — conf
A Study of Narrative Creation by Means of Crowds and Niches.
HCOMP (WIP&Demo)
Oana Inel, Sabrina Sauer, Lora Aroyo
2018 — conf
Challenges in Enabling Mixed Media Scholarly Research with Multi-media Data in a Sustainable Infrastructure.
DH
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, Eva Baaren, Johannes Wassenaar, Julia Noordegraaf, Oana Inel
2018 — conf
CrowdTruth 2.0: Quality Metrics for Crowdsourcing with Disagreement (short paper).
SAD/CrowdBias@HCOMP
Anca Dumitrache, Oana Inel, Lora Aroyo, Benjamin Timmermans, Chris Welty
2018 J jnl
CrowdTruth 2.0: Quality Metrics for Crowdsourcing with Disagreement.
CoRR
Anca Dumitrache, Oana Inel, Lora Aroyo, Benjamin Timmermans, Chris Welty
2018 — conf
Crowdsourcing StoryLines: Harnessing the Crowd for Causal Relation Annotation.
EventStory@Coling
Tommaso Caselli, Oana Inel
2018 J jnl
Empirical Methodology for Crowdsourcing Ground Truth.
CoRR
Anca Dumitrache, Oana Inel, Benjamin Timmermans, Carlos Martinez-Ortiz, Robert-Jan Sips, Lora Aroyo, Chris Welty
2018 — ed.
Joint Proceedings of SEMANTiCS 2017 Workshops co-located with the 13th International Conference on Semantic Systems (SEMANTiCS 2017), Amsterdam, Netherlands, September 11 and 14, 2017.
SEMANTiCS (Workshops)
Anna Fensel, Laura Daniele, Lora Aroyo, Victor de Boer, Sándor Darányi, Omar Elloumi, Raúl García-Castro, Laura Hollink, Oana Inel, Gerard Kuys, Maria Maleshkova, Munir Merdan, Albert Meroño-Peñuela, Thomas Moser, Felix Leif Keppmann, Efstratios Kontopoulos, Lodewijk Petram, Enrico Scarrone, Ruben Verborgh
2018 B conf
Resource Interoperability for Sustainable Benchmarking: The Case of Events.
LREC
Chantal van Son, Oana Inel, Roser Morante, Lora Aroyo, Piek Vossen
2018 A conf
Studying Topical Relevance with Evidence-based Crowdsourcing.
CIKM
Oana Inel, Giannis Haralabopoulos, Dan Li, Christophe Van Gysel, Zoltán Szlávik, Elena Simperl, Evangelos Kanoulas, Lora Aroyo
2017 — conf
Enriching Media Collections for Event-Based Exploration.
MTSR
Victor de Boer, Liliana Melgar, Oana Inel, Carlos Martinez-Ortiz, Lora Aroyo, Johan Oomen
2017 — conf
Event Extraction From Radio News Bulletins.
SEMANTiCS (Workshops)
Kim van Putten, Oana Inel, Victor de Boer, Lora Aroyo
2017 — conf
Harnessing Diversity in Crowds and Machines for Better NER Performance.
ESWC (1)
Oana Inel, Lora Aroyo
2017 — conf
Linking Dutch World War II Cultural Heritage Collections with Events Extracted by Machines and Crowds.
SEMANTiCS (Workshops)
Jessie Both, Didi de Hooge, Ramses IJff, Oana Inel, Victor de Boer, Lora Aroyo
2017 — conf
Optimizing Explorative Search for the Needs of Media Professionals: The DIVE+ Use Case.
SEMANTiCS (Workshops)
Justin Verhulst, Oana Inel, Victor de Boer, Lora Aroyo
2016 B conf
Crowdsourcing Salient Information from News and Tweets.
LREC
Oana Inel, Tommaso Caselli, Lora Aroyo
2016 B conf
Machine-Crowd Annotation Workflow for Event Understanding Across Collections and Domains.
ESWC
Oana Inel
2016 B conf
Temporal Information Annotation: Crowd vs. Experts.
LREC
Tommaso Caselli, Rachele Sprugnoli, Oana Inel
2016 A conf
Time-aware Multi-Viewpoint Summarization of Multilingual Social Text Streams.
CIKM
Zhaochun Ren, Oana Inel, Lora Aroyo, Maarten de Rijke
2015 J jnl
DIVE into the event-based browsing of linked historical media.
J. Web Semant.
Victor de Boer, Johan Oomen, Oana Inel, Lora Aroyo, Elco van Staveren, Werner Helmich, Dennis de Beurs
2015 B conf
Provenance-driven Representation of Crowdsourcing Data for Efficient Data Analysis.
e-Science
Carlos Martinez-Ortiz, Lora Aroyo, Oana Inel, Stavros Champilomatis, Anca Dumitrache, Benjamin Timmermans
2014 — conf
CrowdTruth: Machine-Human Computation Framework for Harnessing Disagreement in Gathering Annotated Data.
ISWC (2)
Oana Inel, Khalid Khamkham, Tatiana Cristea, Anca Dumitrache, Arne Rutjes, Jelle van der Ploeg, Lukasz Romaszko, Lora Aroyo, Robert-Jan Sips
2013 — conf
Content and Behaviour Based Metrics for Crowd Truth.
CrowdSem
Guillermo Soberon, Lora Aroyo, Chris Welty, Oana Inel, Manfred Overmeen, Hui Lin
2013 — conf
Domain-Independent Quality Measures for Crowd Truth Disagreement.
DeRiVE@ISWC
Oana Inel, Lora Aroyo, Chris Welty, Robert-Jan Sips