Peripheral giant cell granuloma. Clinicopathologic study of 224 new cases and review of 956 reported cases
…, E Kakarantza-Angelopoulou, AP Angelopoulos - International journal of …, 1988 - Elsevier
The clinical and histopathological features of 224 new cases of peripheral giant cell granuloma
were studied. In addition, the data from 956 previously reported cases in the literature …
were studied. In addition, the data from 956 previously reported cases in the literature …
The use of the buccal fat pad for reconstruction of oral defects: review of the literature and report of 15 cases
…, E Eleftheriadis, AP Angelopoulos - Journal of oral and …, 2000 - Elsevier
Purpose: Although the buccal fat pad (BFP) was originally used as an alternative method for
the closure of small to medium-sized oroantral and oronasal communications, its use has …
the closure of small to medium-sized oroantral and oronasal communications, its use has …
[HTML][HTML] Pregnancy-related low back pain
P Katonis, A Kampouroglou, A Aggelopoulos… - Hippokratia, 2011 - ncbi.nlm.nih.gov
Pregnancy related low back pain is a common complaint among pregnant women. It can
potentially have a negative impact on their quality of life. The aim of this article is to present a …
potentially have a negative impact on their quality of life. The aim of this article is to present a …
[HTML][HTML] Tackling faults in the industry 4.0 era—a survey of machine-learning solutions and key aspects
The recent advancements in the fields of artificial intelligence (AI) and machine learning (ML)
have affected several research fields, leading to improvements that could not have been …
have affected several research fields, leading to improvements that could not have been …
A gentle introduction to conformal prediction and distribution-free uncertainty quantification
AN Angelopoulos, S Bates - arXiv preprint arXiv:2107.07511, 2021 - arxiv.org
Black-box machine learning models are now routinely used in high-risk settings, like medical
diagnostics, which demand uncertainty quantification to avoid consequential model failures…
diagnostics, which demand uncertainty quantification to avoid consequential model failures…
Prediction-powered inference
Prediction-powered inference is a framework for performing valid statistical inference when
an experimental dataset is supplemented with predictions from a machine-learning system. …
an experimental dataset is supplemented with predictions from a machine-learning system. …
Image-to-image regression with distribution-free uncertainty quantification and applications in imaging
Image-to-image regression is an important learning task, used frequently in biological
imaging. Current algorithms, however, do not generally offer statistical guarantees that protect …
imaging. Current algorithms, however, do not generally offer statistical guarantees that protect …
Conformal risk control
We extend conformal prediction to control the expected value of any monotone loss function.
The algorithm generalizes split conformal prediction together with its coverage guarantee. …
The algorithm generalizes split conformal prediction together with its coverage guarantee. …
Learn then test: Calibrating predictive algorithms to achieve risk control
We introduce a framework for calibrating machine learning models so that their predictions
satisfy explicit, finite-sample statistical guarantees. Our calibration algorithms work with any …
satisfy explicit, finite-sample statistical guarantees. Our calibration algorithms work with any …
Conformal prediction under feedback covariate shift for biomolecular design
…, S Bates, AN Angelopoulos… - Proceedings of the …, 2022 - National Acad Sciences
Many applications of machine-learning methods involve an iterative protocol in which data
are collected, a model is trained, and then outputs of that model are used to choose what data …
are collected, a model is trained, and then outputs of that model are used to choose what data …