Lora Aroyo is a researcher primarily affiliated with Google in the United States. Their main field of study is Computer Science, with a particular focus on Artificial Intelligence and its subfields. Over their career, they have contributed extensively to research topics that span Natural Language Processing Techniques, Explainable Artificial Intelligence (XAI), Ethics and Social Impacts of AI, Topic Modeling, Video Analysis and Summarization, Mobile Crowdsensing and Crowdsourcing, and Machine Learning and Data Classification.
Their publication record includes works published in prominent venues such as arXiv (Cornell University), Computational Linguistics, and interactions. These venues reflect the interdisciplinary nature of their work, combining technical and social aspects of AI. Frequent publication venues where Aroyo's research appears include:
Notable recent papers by Lora Aroyo include:
Aroyo frequently collaborates with other researchers, sharing multiple publications with a group of coauthors who have contributed to their work in various capacities. These frequent coauthors include:
The diverse scope of topics in Aroyo's research reflects a commitment to addressing both technical challenges and societal implications in artificial intelligence. This dual focus is evident in their examined subjects covering explainability, ethical concerns, and social impacts as well as foundational AI methodologies and applications spanning video summarization and crowdsourcing strategies.
Isabel Cruz;Stefan Decker;Dean Allemang;Chris Preist
Henriette Cramer;Vanessa Evers;Satyan Ramlal;Maarten Someren
Johan Oomen;Lora Aroyo
Lora Aroyo;Chris Welty;Harith Alani;Jamie Taylor
Lora Aroyo;Darina Dicheva
Lora Aroyo;Peter Dolog;Geert-Jan Houben;Milos Kravcik
Lora Aroyo;Chris Welty
Pme Paul De Bra;LM Lora Aroyo;V Vadim Chepegin
Guus Schreiber;Alia Amin;Lora Aroyo;Mark van Assem
Harith Alani;Lalana Kagal;Achille Fokoue;Paul Groth
Yiwen Wang;Natalia Stash;Lora Aroyo;Peter Gorgels
Pme Paul De Bra;LM Lora Aroyo;AI Alexandra Cristea
Yiwen Wang;Natalia Stash;Rody Sambeek;Yuri Schuurmans
Lora Aroyo;Darina Dicheva;Alexandra I. Cristea
Lora Aroyo;Natalia Stash;Yiwen Wang;Peter Gorgels
Unknown
Lora Aroyo;Chris Welty
Ronald Denaux;Vania Dimitrova;Lora Aroyo
Oana Inel;Khalid Khamkham;Tatiana Cristea;Anca Dumitrache
Unknown
Willem Robert van Hage;Natalia Stash;Yiwen Wang;Lora Aroyo
Lora Aroyo;Grigoris Antoniou;Eero Hyvönen;Annette Ten Teije
If you think any of the details on this page are incorrect, let us know.
Studying Computer Science in the USA opens doors to diverse academic and professional pathways. Prospective students often explore options beyond traditional on-campus degrees, considering online programs for flexibility and cost-effectiveness.
If you're deciding on a major, reviewing the best college degrees can help you make an informed choice based on job prospects and earning potential. For those looking to advance quickly, pursuing one of the easiest masters degree programs may be appealing, offering career progression without a lengthy commitment.
Doctoral studies are also more accessible online, with many seeking the cheapest doctorate degree to minimize student debt while advancing in specialized fields. Furthermore, educators and professionals interested in leadership roles may consider edd programs that are designed for fast-track completion.
Whether starting your journey or aiming for advanced credentials, these related online degree options offer flexibility, affordability, and a broad range of career opportunities in technology and beyond.
Toyohashi University of Technology
National Research Council (CNR)
University of Cantabria
University of California, San Francisco
Beijing Normal University
Icahn School of Medicine at Mount Sinai
University of Messina
University of Calgary
Utrecht University
University of Gdańsk
University of Granada
Case Western Reserve University
Royal Institute of Technology
University of Cambridge
Fudan University
Pusan National University