Results 31 to 40 of about 60,361 (257)

Subjective performance assessment protocol for visual explanations-based face verification explainability

EURASIP Journal on Image and Video Processing
The integration of Face Verification (FV) systems into multiple critical moments of daily life has become increasingly prevalent, raising concerns regarding the transparency and reliability of these systems.
Naima Bousnina, João Ascenso, Paulo Lobato Correia, Fernando Pereira   +3 more
doaj   +1 more source

Situativität, Funktionalität und Vertrauen: Ergebnisse einer szenariobasierten Interviewstudie zur Erklärbarkeit von KI in der Medizin

TATuP – Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis
A central requirement for the use of artificial intelligence (AI) in medicine is its explainability, i. e., the provision of addressee-oriented information about its functioning.
Manuela Marquardt, Philipp Graf, Eva Jansen, Stefan Hillmann, Jan-Niklas Voigt-Antons   +4 more
doaj   +1 more source

Explainable Machine Learning in Human Gait Analysis: A Study on Children With Cerebral Palsy

IEEE Access, 2023
This work investigates the effectiveness of various machine learning (ML) methods in classifying human gait patterns associated with cerebral palsy (CP) and examines the clinical relevance of the learned features using explainability approaches.
Djordje Slijepcevic, Matthias Zeppelzauer, Fabian Unglaube, Andreas Kranzl, Christian Breiteneder, Brian Horsak   +5 more
doaj   +1 more source

The MedSupport Multilevel Intervention to Enhance Support for Pediatric Medication Adherence: Development and Feasibility Testing

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction We developed MedSupport, a multilevel medication adherence intervention designed to address root barriers to medication adherence. This study sought to explore the feasibility and acceptability of the MedSupport intervention strategies to support a future full‐scale randomized controlled trial.
Elizabeth G. Bouchard, Hital Patel, Paula C. Vincent, Justine Kahn, Kira Bona, Thai Hoa Tran, Elisa M. Rodriguez, Kristopher Attwood, Kara M. Kelly   +8 more
wiley   +1 more source

Radiotherapy Delivery in Deep Inspiration for Pediatric Patients—Final Results of the Phase II Feasibility Study TEDDI

Pediatric Blood &Cancer, EarlyView.
Abstract Introduction The TEDDI trial tested the feasibility and reproducibility of deep‐inspiration breath‐hold (DIBH) in pediatric patients referred for radiotherapy. This report presents final results, including patient‐reported outcomes (PRO) and dosimetric comparison of DIBH and free‐breathing (FB).
Daniella Elisabet Østergaard, Anni Young Lundgaard, Laura Ann Rechner, Danijela Dejanovic, Hanne Krogh Rose, Jolanta Hansen, Leila Vaalavirta, Miia Mokka, Marianne Aznar, Peder Skov Wehner, Lisa Lyngsie Hjalgrim, Maja Vestmø Maraldo   +11 more
wiley   +1 more source

Bridging Explainability and Interpretability in AI-driven SCM Projects to Enhance Decision-Making [PDF]

ITM Web of Conferences
New AI-based systems implementation in companies is steadily expanding, paving the way for novel organizational sequences. The increasing involvement of end-users has also garnered interest in AI explainability. However, AI explainability continues to be
El Oualidi Taoufik, Assar Saïd
doaj   +1 more source

Comparing Neural and Attractiveness-based Visual Features for Artwork Recommendation

, 2017
Advances in image processing and computer vision in the latest years have brought about the use of visual features in artwork recommendation. Recent works have shown that visual features obtained from pre-trained deep neural networks (DNNs) perform very ...
Dominguez, Vicente, Mery, Domingo, Messina, Pablo, Parra, Denis, Soto, Alvaro, Trattner, Christoph   +5 more
core   +1 more source

Prolonged Corrected QT Interval as an Early Electrocardiographic Marker of Cyclophosphamide‐Induced Cardiotoxicity in Pediatric Hematology and Oncology Patients

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cyclophosphamide (CY) is associated with potentially fatal cardiotoxicity, yet no electrocardiographic indices have been established for early detection of CY‐induced cardiomyopathy. This study aimed to determine whether corrected QT interval (QTc) prolongation can predict early onset of CY‐related cardiac dysfunction in pediatric ...
Junpei Kawamura, Kentaro Ueno, Takuro Nishikawa, Yoshihiro Takahashi, Koji Nakae, Yasuhiro Okamoto   +5 more
wiley   +1 more source

Approach or avoidance? Relationship between perceived AI explainability and employee job crafting

Acta Psychologica
Amid growing concerns about the lack of transparency in algorithms, heightened focus has been placed on artificial intelligence (AI) explainability in workplace decision-making processes.
Weiwei Huo, Jiaying Xie, Jiaqi Yan, Tianyi Long, Bingqian Liang   +4 more
doaj   +1 more source

TurkSentGraphExp: an inherent graph aware explainability framework from pre-trained LLM for Turkish sentiment analysis [PDF]

PeerJ Computer Science
Sentiment classification is a widely studied problem in natural language processing (NLP) that focuses on identifying the sentiment expressed in text and categorizing it into predefined classes, such as positive, negative, or neutral.
Yasir Kilic, Cagatay Neftali Tulu
doaj   +2 more sources