Results 31 to 40 of about 20,143,172 (287)

Experimental Evaluation: Can Humans Recognise Social Media Bots?

Big Data and Cognitive Computing
This paper aims to test the hypothesis that the quality of social media bot detection systems based on supervised machine learning may not be as accurate as researchers claim, given that bots have become increasingly sophisticated, making it difficult ...
Maxim Kolomeets, Olga Tushkanova, Vasily Desnitsky, Lidia Vitkova, Andrey Chechulin   +4 more
doaj   +1 more source

The emergence of social networking through the communal annotations of an e-book system

ASCILITE Publications, 2010
Work-in-progress is reported, taking a case study approach to investigate the delivery of an e-book which is constructed based upon the customisation of an existing Pearson Education text. Of particular interest is that the customisation will include a capability for dynamic highlighting and annotating of the e-book text to reflect activities ...
Joan Richardson, Ross Smith, John Lenarcic, Rod McCrohan, Ryan O’Hare   +4 more
openaire   +1 more source

Acute Neurological Events in Children With Hemoglobin SC Disease: A Multicenter Retrospective Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Neurological manifestations in children with hemoglobin SC (HbSC) disease remain insufficiently characterized, particularly regarding acute events. The aim of this study was to describe the spectrum and frequency of acute neurological events in a multicenter cohort of children with HbSC disease.
Célia Paulmin, Bérengère Koehl, Audrey Maudoux, Hanine Mansour, Marie‐Hélène Odievre, Nathalie Garrec, Emilie Georget, Cécile Arnaud, Slimane Allali, Lydia Doumdo, Marie Belloy, Corinne Guitton   +11 more
wiley   +1 more source

Good Systems Network Meeting [PDF]

, 2020
You're viewing a past event from the Good Systems Grand Challenge team at The University of Texas at Austin that contains two presentations from May 19, 2020.Office of the VP for ...
Good Systems
core   +1 more source

Provider and Parent Perspectives on Prioritizing the “Asking and Monitoring” Pediatric Cancer Psychosocial Standards of Care

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The Standards for Psychosocial Care for Children with Cancer and Their Families (“Standards”) are evidence‐based guidelines for psychosocial care in pediatric oncology. Care related to the three “Asking and Monitoring” Standards—Assessment of Psychosocial Needs, Assessment of Financial Needs, and Monitoring Neurocognitive Problems ...
Julia B. Tager, Natalie Koskela‐Staples, Emily M. Pariseau, Michele Scialla, Kimberly Buff, Lori Wiener, Victoria Sardi Brown, Anne E. Kazak, Kimberly S. Canter   +8 more
wiley   +1 more source

Annotated dataset for sentiment analysis and sarcasm detection: Bilingual code-mixed English-Malay social media data in the public security domain

Data in Brief
Sentiment analysis in the public security domain involves analysing public sentiment, emotions, opinions, and attitudes toward events, phenomena, and crises. However, the complexity of sarcasm, which tends to alter the intended meaning, combined with the
Mohd Suhairi Md Suhaimin, Mohd Hanafi Ahmad Hijazi, Ervin Gubin Moung   +2 more
doaj   +1 more source

Using large language models for extracting and pre-annotating texts on mental health from noisy data in a low-resource language [PDF]

PeerJ Computer Science
Recent advancements in large language models (LLMs) have opened new possibilities for developing conversational agents (CAs) in various subfields of mental healthcare.
Sergei Koltcov, Anton Surkov, Olessia Koltsova, Vera Ignatenko   +3 more
doaj   +2 more sources

Global Efforts to Reduce Paediatric Cancer Care Disparities in Radiotherapy: A Decade Change

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background We present an update on the status, needs and challenges faced by paediatric imaging and radiotherapy (RT) programmes globally after a previous survey conducted by the International Atomic Energy Agency (IAEA) 10 years prior. Methods We developed and distributed a 121‐question survey to radiation oncologists, medical physicists and ...
Raymond B. Mailhot Vega, Daniel J. Indelicato, Jeanette Parkes, Natia Esiashvili, Josué Hernández Benítez, Miriam Mikhail‐Lette, Olivera Cirajc Bjelac, Daniel Berger, Eva Ciurana, Yavuz Anacak, Lisbeth Cordero‐Mendez   +10 more
wiley   +1 more source

Beyond static responses: multi-agent LLM systems as a new paradigm for social science research

Humanities & Social Sciences Communications
As large language models (LLMs) transition from static tools to fully agentic systems, their potential for transforming social science research is well recognized. This paper introduces a structured framework for understanding the diverse applications of
Jennifer Haase, Sebastian Pokutta
doaj   +1 more source

ESRVA: Enhanced Super-Resolution and Visual Annotation Model for Object-Level Image Interpretation Using Deep Learning

IEEE Access
Computer vision allows machines to read and analyze visual information, driving applications ranging from medical imaging to autonomous systems. Such applications depend on the quality of input images; therefore, image enhancement is very important when ...
Ramyashree, Ashmika, S. Raghavendra, B. N. Anoop, P. S. Venugopala   +4 more
doaj   +1 more source