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ORCIDOana Inel
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- affiliation: University of Zurich, Switzerland
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2020 – today
- 2024
[j9]Panagiotis Mavridis, Oana Inel, Xander Wilcke, Mykola Makhortykh, Markus de Jong, Honorata Mazepus, Antoaneta Dimitrova, Jesse de Vos, Alessandro Bozzon, Tobias Kuhn:
Framing is Mightier than the Sword: Detection of Episodic and Thematic Framing in News Media. Hum. Comput. 11(1): 1-28 (2024)- [j8]Francesco Barile
, Tim Draws, Oana Inel, Alisa Rieger, Shabnam Najafian, Amir Ebrahimi Fard, Rishav Hada, Nava Tintarev:
Evaluating explainable social choice-based aggregation strategies for group recommendation. User Model. User Adapt. Interact. 34(1): 1-58 (2024) - [c46]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:
Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation. FAccT 2024: 388-406 - [c45]Lucien Heitz, Sanne Vrijenhoek, Oana Inel:
Recommendations for the Recommenders: Reflections on Prioritizing Diversity in the RecSys Challenge. RecSys Challenge 2024: 22-26 - [c44]Narges Ashena, Oana Inel, Badrie L. Persaud, Abraham Bernstein:
Casual Users and Rational Choices within Differential Privacy. SP 2024: 932-950 - [c43]Ibrahim Al Hazwani, Tiantian Luo, Oana Inel, Francesco Ricci, Mennatallah El-Assady, Jürgen Bernard:
ScrollyPOI: A Narrative-Driven Interactive Recommender System for Points-of-Interest Exploration and Explainability. UMAP (Adjunct Publication) 2024 - [c42]Marco Polignano, Cataldo Musto, Amra Delic, Oana Inel, Amon Rapp, Giovanni Semeraro, Jürgen Ziegler:
ExUM 2024 - 6th Workshop on Explainable User Modeling and Personalised Systems. UMAP (Adjunct Publication) 2024 - [i11]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:
Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation. CoRR abs/2403.12075 (2024) - [i10]Haozhe Luo, Aurélie Pahud de Mortanges, Oana Inel, Abraham Bernstein, Mauricio Reyes:
DWARF: Disease-weighted network for attention map refinement. CoRR abs/2406.17032 (2024) - [i9]Ombretta Strafforello, Osman Semih Kayhan, Oana Inel, Klamer Schutte, Jan van Gemert:
Aligning Object Detector Bounding Boxes with Human Preference. CoRR abs/2408.10844 (2024) - 2023
- [c41]Tim Draws, Nirmal Roy, Oana Inel, Alisa Rieger, Rishav Hada, Mehmet Orcun Yalcin, Benjamin Timmermans, Nava Tintarev:
Viewpoint Diversity in Search Results. ECIR (1) 2023: 279-297 - [c40]Luca Rossetto, Oana Inel, Svenja Lange, Florian Ruosch, Ruijie Wang, Abraham Bernstein:
Multi-Mode Clustering for Graph-Based Lifelog Retrieval. LSC@ICMR 2023: 36-40 - [c39]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:
DataPerf: Benchmarks for Data-Centric AI Development. NeurIPS 2023 - [c38]Oana Inel, Nicolas Mattis, Milda Norkute, Alessandro Piscopo, Timothée Schmude, Sanne Vrijenhoek, Krisztian Balog:
QUARE: 2nd Workshop on Measuring the Quality of Explanations in Recommender Systems. RecSys 2023: 1241-1243 - [c37]Cataldo Musto, Amra Delic, Oana Inel, Marco Polignano, Amon Rapp, Giovanni Semeraro, Jürgen Ziegler:
5th Workshop on Explainable User Models and Personalised Systems (ExUM). UMAP (Adjunct Publication) 2023: 196-198 - [c36]Ibrahim Al Hazwani, Turki Alahmadi, Kathrin Wardatzky, Oana Inel, Mennatallah El-Assady, Jürgen Bernard:
Interaction Tasks for Explainable Recommender Systems. EuroVis (Posters) 2023: 37-39 - [i8]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:
Adversarial Nibbler: A Data-Centric Challenge for Improving the Safety of Text-to-Image Models. CoRR abs/2305.14384 (2023) - [i7]Oana Inel, Tim Draws, Lora Aroyo:
Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection. CoRR abs/2308.12885 (2023) - 2022
- [j7]Oana Inel, Lora Aroyo:
Fine-tuning machine confidence with human relevance for video discovery. Interactions 29(4): 78-82 (2022) - [j6]Alessandro Piscopo, Oana Inel, Sanne Vrijenhoek, Martijn Millecamp, Krisztian Balog:
Report on the 1st Workshop on Measuring the Quality of Explanations in Recommender Systems (QUARE 2022) at SIGIR 2022. SIGIR Forum 56(2): 11:1-11:16 (2022) - [c35]Tim Draws, Oana Inel, Nava Tintarev, Christian Baden, Benjamin Timmermans:
Comprehensive Viewpoint Representations for a Deeper Understanding of User Interactions With Debated Topics. CHIIR 2022: 135-145 - [c34]Ombretta Strafforello, Vanathi Rajasekart, Osman Semih Kayhan, Oana Inel, Jan van Gemert:
Humans Disagree With the IoU for Measuring Object Detector Localization Error. ICIP 2022: 1261-1265 - [c33]Alessandro Piscopo, Oana Inel, Sanne Vrijenhoek, Martijn Millecamp, Krisztian Balog:
QUARE: 1st Workshop on Measuring the Quality of Explanations in Recommender Systems. SIGIR 2022: 3478-3481 - [c32]Cataldo Musto, Amra Delic, Oana Inel, Marco Polignano, Amon Rapp, Giovanni Semeraro, Jürgen Ziegler:
Workshop on Explainable User Models and Personalised Systems (ExUM). UMAP (Adjunct Publication) 2022: 160-162 - [c31]Vincent Robbemond, Oana Inel, Ujwal Gadiraju:
Understanding the Role of Explanation Modality in AI-assisted Decision-making. UMAP 2022: 223-233 - [i6]Ombretta Strafforello, Vanathi Rajasekart, Osman Semih Kayhan, Oana Inel, Jan van Gemert:
Humans disagree with the IoU for measuring object detector localization error. CoRR abs/2207.14221 (2022) - 2021
- [j5]Oana Inel, Tomislav Duricic, Harmanpreet Kaur, Elisabeth Lex, Nava Tintarev:
Design Implications for Explanations: A Case Study on Supporting Reflective Assessment of Potentially Misleading Videos. Frontiers Artif. Intell. 4: 712072 (2021) - [j4]Anca Dumitrache, Oana Inel, Benjamin Timmermans, Carlos Martinez-Ortiz, Robert-Jan Sips, Lora Aroyo, Chris Welty:
Empirical methodology for crowdsourcing ground truth. Semantic Web 12(3): 403-421 (2021) - [c30]Mats Mulder, Oana Inel, Jasper Oosterman, Nava Tintarev:
Operationalizing Framing to Support Multiperspective Recommendations of Opinion Pieces. FAccT 2021: 478-488 - [c29]Tim Draws, Alisa Rieger, Oana Inel, Ujwal Gadiraju, Nava Tintarev:
A Checklist to Combat Cognitive Biases in Crowdsourcing. HCOMP 2021: 48-59 - [c28]Francesco Barile, Shabnam Najafian, Tim Draws, Oana Inel, Alisa Rieger, Rishav Hada, Nava Tintarev:
Toward Benchmarking Group Explanations: Evaluating the Effect of Aggregation Strategies versus Explanation. Perspectives@RecSys 2021 - [c27]Cataldo Musto, Nava Tintarev, Oana Inel, Marco Polignano, Giovanni Semeraro, Jürgen Ziegler:
Workshop on Explainable User Models and Personalized Systems (ExUM 2021). UMAP (Adjunct Publication) 2021: 211-212 - [i5]Mats Mulder, Oana Inel, Jasper Oosterman, Nava Tintarev:
Operationalizing Framing to Support MultiperspectiveRecommendations of Opinion Pieces. CoRR abs/2101.06141 (2021) - 2020
- [j3]Silas Nyboe Ørting, Andrew Doyle, Arno van Hilten, Matthias Hirth, Oana Inel, Christopher R. Madan, Panagiotis Mavridis, Helen Spiers, Veronika Cheplygina:
A Survey of Crowdsourcing in Medical Image Analysis. Hum. Comput. 7: 1-26 (2020) - [c26]Shabnam Najafian, Daniel Herzog, Sihang Qiu, Oana Inel, Nava Tintarev:
You Do Not Decide for Me! Evaluating Explainable Group Aggregation Strategies for Tourism. HT 2020: 187-196 - [c25]Shabnam Najafian, Oana Inel, Nava Tintarev:
Someone really wanted that song but it was not me!: Evaluating Which Information to Disclose in Explanations for Group Recommendations. IUI Companion 2020: 85-86 - [c24]Oana Inel, Nava Tintarev, Lora Aroyo:
Eliciting User Preferences for Personalized Explanations for Video Summaries. UMAP 2020: 98-106 - [c23]Cataldo Musto, Nava Tintarev, Oana Inel, Marco Polignano, Giovanni Semeraro, Jürgen Ziegler:
UMAP 2020 Workshop on Explainable User Models and Personalised Systems (ExUM) Chairs' Welcome & Organization. UMAP (Adjunct Publication) 2020: 204-205 - [c22]Cataldo Musto, Nava Tintarev, Oana Inel, Marco Polignano, Giovanni Semeraro, Jürgen Ziegler:
Workshop on Explainable User Models and Personalized Systems (ExUM 2020). UMAP 2020: 406-407 - [i4]Oana Inel, Nava Tintarev, Lora Aroyo:
Eliciting User Preferences for Personalized Explanations for Video Summaries. CoRR abs/2005.00465 (2020)
2010 – 2019
- 2019
- [j2]Themistoklis Karavellas, Anggarda Prameswari, Oana Inel, Victor de Boer:
Local Crowdsourcing for Annotating Audio: the Elevator Annotator platform. Hum. Comput. 6: 1-11 (2019) - [c21]Oana Inel, Lora Aroyo:
Validation Methodology for Expert-Annotated Datasets: Event Annotation Case Study. LDK 2019: 12:1-12:15 - [c20]Lora Aroyo, Anca Dumitrache, Oana Inel, Zoltán Szlávik, Benjamin Timmermans, Chris Welty:
Crowdsourcing Inclusivity: Dealing with Diversity of Opinions, Perspectives and Ambiguity in Annotated Data. WWW (Companion Volume) 2019: 1294-1295 - [i3]Silas Nyboe Ørting, Andrew Doyle, Matthias Hirth, Arno van Hilten, Oana Inel, Christopher R. Madan, Panagiotis Mavridis, Helen Spiers, Veronika Cheplygina:
A Survey of Crowdsourcing in Medical Image Analysis. CoRR abs/1902.09159 (2019) - 2018
- [c19]Oana Inel, Giannis Haralabopoulos, Dan Li, Christophe Van Gysel, Zoltán Szlávik, Elena Simperl, Evangelos Kanoulas, Lora Aroyo:
Studying Topical Relevance with Evidence-based Crowdsourcing. CIKM 2018: 1253-1262 - [c18]Tommaso Caselli, Oana Inel:
Crowdsourcing StoryLines: Harnessing the Crowd for Causal Relation Annotation. EventStory@Coling 2018: 44-54 - [c17]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:
Challenges in Enabling Mixed Media Scholarly Research with Multi-media Data in a Sustainable Infrastructure. DH 2018: 246-249 - [c16]Anca Dumitrache, Oana Inel, Lora Aroyo, Benjamin Timmermans, Chris Welty:
CrowdTruth 2.0: Quality Metrics for Crowdsourcing with Disagreement (short paper). SAD/CrowdBias@HCOMP 2018: 11-18 - [c15]Oana Inel, Sabrina Sauer, Lora Aroyo:
A Study of Narrative Creation by Means of Crowds and Niches. HCOMP (WIP&Demo) 2018 - [c14]Chantal van Son, Oana Inel, Roser Morante, Lora Aroyo, Piek Vossen:
Resource Interoperability for Sustainable Benchmarking: The Case of Events. LREC 2018 - [e1]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:
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. CEUR Workshop Proceedings 2063, CEUR-WS.org 2018 [contents] - [i2]Anca Dumitrache, Oana Inel, Lora Aroyo, Benjamin Timmermans, Chris Welty:
CrowdTruth 2.0: Quality Metrics for Crowdsourcing with Disagreement. CoRR abs/1808.06080 (2018) - [i1]Anca Dumitrache, Oana Inel, Benjamin Timmermans, Carlos Martinez-Ortiz, Robert-Jan Sips, Lora Aroyo, Chris Welty:
Empirical Methodology for Crowdsourcing Ground Truth. CoRR abs/1809.08888 (2018) - 2017
- [c13]Oana Inel, Lora Aroyo:
Harnessing Diversity in Crowds and Machines for Better NER Performance. ESWC (1) 2017: 289-304 - [c12]Jessie Both, Didi de Hooge, Ramses IJff, Oana Inel, Victor de Boer, Lora Aroyo:
Linking Dutch World War II Cultural Heritage Collections with Events Extracted by Machines and Crowds. SEMANTiCS (Workshops) 2017 - [c11]Kim van Putten, Oana Inel, Victor de Boer, Lora Aroyo:
Event Extraction From Radio News Bulletins. SEMANTiCS (Workshops) 2017 - [c10]Justin Verhulst, Oana Inel, Victor de Boer, Lora Aroyo:
Optimizing Explorative Search for the Needs of Media Professionals: The DIVE+ Use Case. SEMANTiCS (Workshops) 2017 - [c9]Victor de Boer, Liliana Melgar, Oana Inel, Carlos Martinez-Ortiz, Lora Aroyo, Johan Oomen:
Enriching Media Collections for Event-Based Exploration. MTSR 2017: 189-201 - 2016
- [c8]Zhaochun Ren, Oana Inel, Lora Aroyo, Maarten de Rijke:
Time-aware Multi-Viewpoint Summarization of Multilingual Social Text Streams. CIKM 2016: 387-396 - [c7]Oana Inel:
Machine-Crowd Annotation Workflow for Event Understanding Across Collections and Domains. ESWC 2016: 813-823 - [c6]Tommaso Caselli, Rachele Sprugnoli, Oana Inel:
Temporal Information Annotation: Crowd vs. Experts. LREC 2016 - [c5]Oana Inel, Tommaso Caselli, Lora Aroyo:
Crowdsourcing Salient Information from News and Tweets. LREC 2016 - 2015
- [j1]Victor de Boer, Johan Oomen, Oana Inel, Lora Aroyo, Elco van Staveren, Werner Helmich, Dennis de Beurs:
DIVE into the event-based browsing of linked historical media. J. Web Semant. 35: 152-158 (2015) - [c4]Carlos Martinez-Ortiz, Lora Aroyo, Oana Inel, Stavros Champilomatis, Anca Dumitrache, Benjamin Timmermans:
Provenance-driven Representation of Crowdsourcing Data for Efficient Data Analysis. e-Science 2015: 300-303 - 2014
- [c3]Oana Inel, Khalid Khamkham, Tatiana Cristea, Anca Dumitrache, Arne Rutjes, Jelle van der Ploeg, Lukasz Romaszko, Lora Aroyo, Robert-Jan Sips:
CrowdTruth: Machine-Human Computation Framework for Harnessing Disagreement in Gathering Annotated Data. ISWC (2) 2014: 486-504 - 2013
- [c2]Oana Inel, Lora Aroyo, Chris Welty, Robert-Jan Sips:
Domain-Independent Quality Measures for Crowd Truth Disagreement. DeRiVE@ISWC 2013: 2-13 - [c1]Guillermo Soberon, Lora Aroyo, Chris Welty, Oana Inel, Manfred Overmeen, Hui Lin:
Content and Behaviour Based Metrics for Crowd Truth. CrowdSem 2013: 45-58
Coauthor Index
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last updated on 2024-11-07 20:33 CET by the dblp team
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