Oana Inel

According to our database, Oana Inel authored at least 53 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., March, 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, Juan Ciro, Vijay Janapa Reddi, Lora Aroyo

CoRR, 2024

2023

Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection.

Oana Inel, Tim Draws, Lora Aroyo

CoRR, 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, Lora Aroyo

CoRR, 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

Proceedings of the Adjunct Proceedings of the 31st ACM Conference on User Modeling, 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

Proceedings of the 17th ACM Conference on Recommender Systems, 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, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-Mode Clustering for Graph-Based Lifelog Retrieval.

Luca Rossetto, Oana Inel, Svenja Lange, Florian Ruosch, Ruijie Wang, Abraham Bernstein

Proceedings of the 6th Annual ACM Lifelog Search Challenge, 2023

Viewpoint Diversity in Search Results.

Tim Draws, Nirmal Roy, Oana Inel, Alisa Rieger, Rishav Hada, Mehmet Orcun Yalcin, Benjamin Timmermans, Nava Tintarev

Proceedings of the Advances in Information Retrieval, 2023

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, December, 2022

Fine-tuning machine confidence with human relevance for video discovery.

Oana Inel, Lora Aroyo

Interactions, 2022

Understanding the Role of Explanation Modality in AI-assisted Decision-making.

Vincent Robbemond, Oana Inel, Ujwal Gadiraju

Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

Workshop on Explainable User Models and Personalised Systems (ExUM).

Cataldo Musto, Amra Delic, Oana Inel, Marco Polignano, Amon Rapp, Giovanni Semeraro, Jürgen Ziegler

Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

QUARE: 1st Workshop on Measuring the Quality of Explanations in Recommender Systems.

Alessandro Piscopo, Oana Inel, Sanne Vrijenhoek, Martijn Millecamp, Krisztian Balog

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Humans Disagree With the IoU for Measuring Object Detector Localization Error.

Ombretta Strafforello, Vanathi Rajasekart, Osman Semih Kayhan, Oana Inel, Jan van Gemert

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Comprehensive Viewpoint Representations for a Deeper Understanding of User Interactions With Debated Topics.

Tim Draws, Oana Inel, Nava Tintarev, Christian Baden, Benjamin Timmermans

Proceedings of the CHIIR '22: ACM SIGIR Conference on Human Information Interaction and Retrieval, Regensburg, Germany, March 14, 2022

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

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

Operationalizing Framing to Support MultiperspectiveRecommendations of Opinion Pieces.

Mats Mulder, Oana Inel, Jasper Oosterman, Nava Tintarev

CoRR, 2021

Workshop on Explainable User Models and Personalized Systems (ExUM 2021).

Cataldo Musto, Nava Tintarev, Oana Inel, Marco Polignano, Giovanni Semeraro, Jürgen Ziegler

Proceedings of the Adjunct Publication of the 29th ACM Conference on User Modeling, 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

Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2021 co-located with the 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

A Checklist to Combat Cognitive Biases in Crowdsourcing.

Tim Draws, Alisa Rieger, Oana Inel, Ujwal Gadiraju, Nava Tintarev

Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, 2021

Operationalizing Framing to Support Multiperspective Recommendations of Opinion Pieces.

Mats Mulder, Oana Inel, Jasper Oosterman, Nava Tintarev

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

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

Workshop on Explainable User Models and Personalized Systems (ExUM 2020).

Cataldo Musto, Nava Tintarev, Oana Inel, Marco Polignano, Giovanni Semeraro, Jürgen Ziegler

Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 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

Proceedings of the Adjunct Publication of the 28th ACM Conference on User Modeling, 2020

Eliciting User Preferences for Personalized Explanations for Video Summaries.

Oana Inel, Nava Tintarev, Lora Aroyo

Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 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

Proceedings of the IUI '20: 25th International Conference on Intelligent User Interfaces, 2020

You Do Not Decide for Me! Evaluating Explainable Group Aggregation Strategies for Tourism.

Shabnam Najafian, Daniel Herzog, Sihang Qiu, Oana Inel, Nava Tintarev

Proceedings of the HT '20: 31st ACM Conference on Hypertext and Social Media, 2020

2019

Local Crowdsourcing for Annotating Audio: the Elevator Annotator platform.

Themistoklis Karavellas, Anggarda Prameswari, Oana Inel, Victor de Boer

Hum. Comput., 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

Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Validation Methodology for Expert-Annotated Datasets: Event Annotation Case Study.

Oana Inel, Lora Aroyo

Proceedings of the 2nd Conference on Language, Data and Knowledge, 2019

2018

CrowdTruth 2.0: Quality Metrics for Crowdsourcing with Disagreement.

Anca Dumitrache, Oana Inel, Lora Aroyo, Benjamin Timmermans, Chris Welty

CoRR, 2018

Resource Interoperability for Sustainable Benchmarking: The Case of Events.

Chantal van Son, Oana Inel, Roser Morante, Lora Aroyo, Piek Vossen

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

A Study of Narrative Creation by Means of Crowds and Niches.

Oana Inel, Sabrina Sauer, Lora Aroyo

Proceedings of the HCOMP 2018 Works in Progress and Demonstration Papers Track of the sixth AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2018), 2018

CrowdTruth 2.0: Quality Metrics for Crowdsourcing with Disagreement (short paper).

Anca Dumitrache, Oana Inel, Lora Aroyo, Benjamin Timmermans, Chris Welty

Proceedings of the 1st Workshop on Subjectivity, 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, Eva Baaren, Johannes Wassenaar, Julia Noordegraaf, Oana Inel

Proceedings of the 13th Annual International Conference of the Alliance of Digital Humanities Organizations, 2018

Crowdsourcing StoryLines: Harnessing the Crowd for Causal Relation Annotation.

Tommaso Caselli, Oana Inel

Proceedings of the Workshop Events and Stories in the News, 2018

Studying Topical Relevance with Evidence-based Crowdsourcing.

Oana Inel, Giannis Haralabopoulos, Dan Li, Christophe Van Gysel, Zoltán Szlávik, Elena Simperl, Evangelos Kanoulas, Lora Aroyo

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Enriching Media Collections for Event-Based Exploration.

Victor de Boer, Liliana Melgar, Oana Inel, Carlos Martinez-Ortiz, Lora Aroyo, Johan Oomen

Proceedings of the Metadata and Semantic Research - 11th International Conference, 2017

Optimizing Explorative Search for the Needs of Media Professionals: The DIVE+ Use Case.

Justin Verhulst, Oana Inel, Victor de Boer, Lora Aroyo

Proceedings of the Joint Proceedings of SEMANTiCS 2017 Workshops co-located with the 13th International Conference on Semantic Systems (SEMANTiCS 2017), 2017

Event Extraction From Radio News Bulletins.

Kim van Putten, Oana Inel, Victor de Boer, Lora Aroyo

Proceedings of the Joint Proceedings of SEMANTiCS 2017 Workshops co-located with the 13th International Conference on Semantic Systems (SEMANTiCS 2017), 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

Proceedings of the Joint Proceedings of SEMANTiCS 2017 Workshops co-located with the 13th International Conference on Semantic Systems (SEMANTiCS 2017), 2017

Harnessing Diversity in Crowds and Machines for Better NER Performance.

Oana Inel, Lora Aroyo

Proceedings of the Semantic Web - 14th International Conference, 2017

2016

Crowdsourcing Salient Information from News and Tweets.

Oana Inel, Tommaso Caselli, Lora Aroyo

Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Temporal Information Annotation: Crowd vs. Experts.

Tommaso Caselli, Rachele Sprugnoli, Oana Inel

Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Machine-Crowd Annotation Workflow for Event Understanding Across Collections and Domains.

Oana Inel

Proceedings of the Semantic Web. Latest Advances and New Domains, 2016

Time-aware Multi-Viewpoint Summarization of Multilingual Social Text Streams.

Zhaochun Ren, Oana Inel, Lora Aroyo, Maarten de Rijke

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

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

Provenance-driven Representation of Crowdsourcing Data for Efficient Data Analysis.

Carlos Martinez-Ortiz, Lora Aroyo, Oana Inel, Stavros Champilomatis, Anca Dumitrache, Benjamin Timmermans

Proceedings of the 11th IEEE International Conference on e-Science, 2015

2014

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

Proceedings of the Semantic Web - ISWC 2014, 2014

2013

Content and Behaviour Based Metrics for Crowd Truth.

Guillermo Soberon, Lora Aroyo, Chris Welty, Oana Inel, Manfred Overmeen, Hui Lin

Proceedings of the 1st International Workshop on Crowdsourcing the Semantic Web, 2013

Domain-Independent Quality Measures for Crowd Truth Disagreement.

Oana Inel, Lora Aroyo, Chris Welty, Robert-Jan Sips

Proceedings of the third Workshop on Detection, 2013