Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Klaus Broelemann"'
Publikováno v:
International Journal of Data Science and Analytics. 16:85-100
Although deep neural networks (DNNs) constitute the state of the art in many tasks based on visual, audio, or text data, their performance on heterogeneous, tabular data is typically inferior to that of decision tree ensembles. To bridge the gap betw
Autor:
Gjergji Kasneci, Emmanouil Krasanakis, Franco Turini, Wolfgang Nejdl, Maria-Esther Vidal, Salvatore Ruggieri, Claudia Wagner, Fariba Karimi, Ujwal Gadiraju, Harith Alani, Katharina Kinder-Kurlanda, Ioannis Kompatsiaris, Pavlos Fafalios, Miriam Fernandez, Thanassis Tiropanis, Bettina Berendt, Symeon Papadopoulos, Vasileios Iosifidis, Steffen Staab, Eirini Ntoutsi, Christian Heinze, Klaus Broelemann, Tina Kruegel
Publikováno v:
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10 (2020), Nr. 3
WIREs Data Mining and Knowledge Discovery
WIREs Data Mining and Knowledge Discovery
Artificial Intelligence (AI)-based systems are widely employed nowadays to make decisions that have far-reaching impact on individuals and society. Their decisions might affect everyone, everywhere, and anytime, entailing concerns about potential hum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4c6da52674f42b8469f75ff6207ef54
https://lirias.kuleuven.be/handle/123456789/650714
https://lirias.kuleuven.be/handle/123456789/650714
Publikováno v:
KDD
Feature selection can be a crucial factor in obtaining robust and accurate predictions. Online feature selection models, however, operate under considerable restrictions; they need to efficiently extract salient input features based on a bounded set
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5c6d8b12cf24a1f44ffc5da61f589da
Publikováno v:
Information Processing Letters. 126:18-23
Neighborhood graph and its construction play an important role in numerous problems. Many methods have been proposed to improve the classic k-NN construction based on various criteria. Recently, a new structure named k-regular nearest neighbor (k-RNN
Publikováno v:
Computers in Human Behavior. 68:450-455
Today's driving assistance systems build on numerous sensors to provide assistance for specific tasks. In order to not patronize the driver, intensity and timing of critical responses by such systems is determined based on parameters derived from veh
Publikováno v:
Expert Systems with Applications. 45:195-207
We present the first comprehensive system for offline classifying sketch map objects.We created a database of labeled sketch maps for training and evaluation purposes.Context-awareness improves the classification of sketch map objects greatly. Sketch
Autor:
Gjergji Kasneci, Klaus Broelemann
Publikováno v:
IJCAI
Machine learning algorithms aim at minimizing the number of false decisions and increasing the accuracy of predictions. However, the high predictive power of advanced algorithms comes at the costs of transparency. State-of-the-art methods, such as ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db25392f822a73d25bcff925d349206d
Publikováno v:
ICDE
We address the problem of latent truth discovery, LTD for short, where the goal is to discover the underlying true values of entity attributes in the presence of noisy, conflicting or incomplete information. Despite a multitude of algorithms addressi
Publikováno v:
Spatial Cognition & Computation. 14:220-254
More and more private citizens collect and publish environmental data via web-based geographic information systems. These systems face two challenges: The user interface must be intuitive and the processing of geographic information must account for
Publikováno v:
Graphics Recognition. Current Trends and Challenges ISBN: 9783662448533
GREC
GREC
Graph representation of graphical documents often suffers from noise such as spurious nodes and edges, and their discontinuity. In general these errors occur during the low-level image processing viz. binarization, skeletonization, vectorization etc.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67a9acb71de1467a2b68854b6ed8f1d2
https://doi.org/10.1007/978-3-662-44854-0_3
https://doi.org/10.1007/978-3-662-44854-0_3