Št. zadetkov: 60
Izvirni znanstveni članek
Oznake:
osimertinib;raziskava GioTag;GioTag study;
Aim: Final overall survival (OS) and time on treatment analysis of patients with EGFR mutation-positive non-small-cell lung cancer (NSCLC) who received sequential afatinib and osimertinib. Patients & methods: Patients (n = 203) had T790M-positive disease following first-line afatinib and started osi ...
Leto:
2020
Vir:
Digitalni repozitorij raziskovalnih organizacij Slovenije
Maximilian J Hochmair,
Alessandro Morabito,
Desiree Hao,
Cheng-Ta Yang,
Ross A Soo,
James C-H Yang,
Rasim Gucalp,
Balazs Halmos,
Lara Wang,
Angela Märten,
Tanja Čufer
Izvirni znanstveni članek
Oznake:
osimertinib;raziskava GioTag;GioTag study;
Aims: Overall survival (OS) and updated time to treatment failure (TTF) analysis of patients with EGFR mutation-positive (Del19, L858R) non-small-cell lung cancer who received sequential afatinib/osimertinib in the real-world GioTag study. Patients & methods: Patients had T790M-positive disease foll ...
Leto:
2019
Vir:
Digitalni repozitorij raziskovalnih organizacij Slovenije
Maximilian J Hochmair,
Alessandro Morabito,
Desiree Hao,
Cheng-Ta Yang,
Ross A Soo,
James C-H Yang,
Rasim Gucalp,
Balazs Halmos,
Lara Wang,
Amanda Golembesky,
Angela Märten,
Tanja Čufer
Izvirni znanstveni članek
Oznake:
non-small-cell lung cancer;afatinib;osimertinib;epidermal growth factor receptor;EGFR;observational study;
Aim: To assess outcomes in patients with EGFR mutation-positive (Del19, L858R) non-small-cell lung cancer receiving sequential afatinib and osimertinib in a real-world clinical setting. Materials & methods: In this retrospective, observational, multicenter study, patients (n = 204) had T790M-positiv ...
Leto:
2018
Vir:
Digitalni repozitorij raziskovalnih organizacij Slovenije
Video in druga učna gradiva
Oznake:
computer science;machine learning
In this paper, we summarize some recent results in Li et al. (2012), which can be used to extend an important PAC-Bayesian approach, namely the Gibbs posterior, to study the nonadditive ranking risk. The methodology is based on assumption-free risk bounds and nonasymptotic oracle inequalities, which ...
Leto:
2013
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning
Multilabel classification is an extension of conventional classification in
which a single instance can be associated with multiple labels. Recent
research has shown that, just like for conventional classification, instance-based learning algorithms relying on the nearest neighbor estimation princip ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;ensemble methods
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning
The learning of predictive models that guarantee monotonicity
in the input variables has received increasing attention in machine
learning in recent years. While the incorporation of monotonicity constraints
is rather simple for certain types of models, it may become a more
intricate problem for oth ...
Leto:
2011
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;image analysis
We present an intuitive scheme for lossy color-image compression: Use the color information from a few representative pixels to learn a model which predicts color on the rest of the pixels. Now, storing the representative pixels and the image in grayscale suffice to recover the original image. A sim ...
Leto:
2007
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning
The label ranking problem consists of learning a model that maps instances to total orders over a finite set of predefined labels. This
paper introduces new methods for label ranking that complement and improve upon existing approaches. More specifically, we propose
extensions of two methods that hav ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;social media
Location sharing services (LSS) like Foursquare, Gowalla,
and Facebook Places support hundreds of millions of userdriven
footprints (i.e., “checkins”). Those global-scale footprints
provide a unique opportunity to study the social and
temporal characteristics of how people use these services and
to ...
Leto:
2011
Vir:
videolectures.net