Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Verena Bitto"'
Autor:
Verena Bitto, Pia Hönscheid, María José Besso, Christian Sperling, Ina Kurth, Michael Baumann, Benedikt Brors
Publikováno v:
npj Systems Biology and Applications, Vol 10, Iss 1, Pp 1-13 (2024)
Abstract Mass spectrometry imaging (MSI) allows to study cancer’s intratumoral heterogeneity through spatially-resolved peptides, metabolites and lipids. Yet, in biomedical research MSI is rarely used for biomarker discovery. Besides its high dimen
Externí odkaz:
https://doaj.org/article/0d4c1928360742c88bd95a7022b7e39a
Publikováno v:
Wiener Zeitschrift für die Kunde Südasiens / Vienna Journal of South Asian Studies, 2013 Jan 01. 55, 235-235.
Externí odkaz:
https://www.jstor.org/stable/43553819
Autor:
Lydia Koi, Verena Bitto, Corina Weise, Lisa Möbius, Annett Linge, Steffen Löck, Ala Yaromina, María José Besso, Chiara Valentini, Manuel Pfeifer, Jens Overgaard, Daniel Zips, Ina Kurth, Mechthild Krause, Michael Baumann
Publikováno v:
Journal of Translational Medicine, Vol 21, Iss 1, Pp 1-17 (2023)
Abstract Background Tumor hypoxia is associated with resistance to radiotherapy and chemotherapy. In head and neck squamous cell carcinoma (HNSCC), nimorazole, an oxygen mimic, combined with radiotherapy (RT) enabled to improve loco-regional control
Externí odkaz:
https://doaj.org/article/ef4ef6625b6940398e45aefa8c370d20
Publikováno v:
ICPE
Benchmark suites are an indispensable part of scientific research to compare different approaches against each another. The diversity of benchmarks is an important asset to evaluate novel approaches for effectiveness and weaknesses. In this paper, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::416e13a35a27cd99438bb77276d54893
https://doi.org/10.1145/3030207.3030211
https://doi.org/10.1145/3030207.3030211
Publikováno v:
PPPJ
Tracing objects and their references is paramount for tracking down memory-related performance problems. In this paper, we present a novel approach for recording references between objects at minimal run-time overhead. Extending our memory monitoring
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c95b9b8469975a71a05024d1e9af827
https://doi.org/10.1145/2972206.2972220
https://doi.org/10.1145/2972206.2972220
Autor:
Philipp Lengauer, Verena Bitto
Publikováno v:
ICPE
Traditional monitoring techniques can distort application behavior significantly. In this paper, we will provide an evaluation of state-of-the-art monitoring techniques and their impact on memory behavior. We will use AntTracks to show how VM-interna
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7872264e80bc92127531b5d3ce4a1b20
https://doi.org/10.1145/2851553.2858664
https://doi.org/10.1145/2851553.2858664
Publikováno v:
ICPE
Understanding and tracking down memory-related performance problems is a tedious task, especially when it involves automatically managed memory, i.e., garbage collection. A multitude of monitoring tools show the substantial need of developers to deal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::714e1c3e2b0cada6600c1877ff7f6462
https://doi.org/10.1145/2851553.2851555
https://doi.org/10.1145/2851553.2851555
Publikováno v:
PPPJ
Understanding and tracking down memory-related performance problems, such as long garbage collection times and memory leaks, is a tedious task in large and complex applications. Memory profilers can support developers in this task by recording detail
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae27987a712398dcfb0c0c709fc64b89
https://doi.org/10.1145/2807426.2807433
https://doi.org/10.1145/2807426.2807433
Publikováno v:
ICPE
Object allocations and garbage collection can have a considerable impact on the performance of Java applications. Without monitoring tools, such performance problems are hard to track down, and if such tools are applied, they often cause a significan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23a40eab60e1dc15f449a314fcbb03d5
https://doi.org/10.1145/2668930.2688037
https://doi.org/10.1145/2668930.2688037
Publikováno v:
VaMoS
Non-functional properties such as memory footprint have recently gained importance in software product line research. However, determining the memory characteristics of individual features and product variants is extremely challenging. We present an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c890e76a56b7e54adbcd984cdcd8f4a9
https://doi.org/10.1145/2556624.2556628
https://doi.org/10.1145/2556624.2556628