Results 11 to 20 of about 609,343 (292)

Multimodality Data Integration in Epilepsy [PDF]

International Journal of Biomedical Imaging, 2007
An important goal of software development in the medical field is the design of methods which are able to integrate information obtained from various imaging and nonimaging modalities into a cohesive framework in order to understand the results of qualitatively different measurements in a larger context.
Otto Muzik, Diane C. Chugani, Guangyu Zou, Jing Hua 0001, Yi Lu 0015, Shiyong Lu, Eishi Asano, Harry T. Chugani   +7 more
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Input modelling for multimodal data [PDF]

Journal of the Operational Research Society, 2019
Multimodal data occurs frequently in discrete-event simulation input analysis, typically arising when an input sample stream comes from different sources.
Russell C. H. Cheng, Christine S. M. Currie   +1 more
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Causal disentanglement of multimodal data

Mathematical and Scientific Machine Learning - Providence, Rhode Island, United States of America - June - 2023, 2023
Causal representation learning algorithms discover lower-dimensional representations of data that admit a decipherable interpretation of cause and effect; as achieving such interpretable representations is challenging, many causal learning algorithms utilize elements indicating prior information, such as (linear) structural causal models ...
Elise Walker, Jonas A. Actor, Carianne Martinez, Nathaniel Trask   +3 more
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Data Showcases: the Data Journal in a Multimodal World

International Journal of Digital Curation, 2022
   As an experiment, the Research Data Journal for the Humanities and Social Sciences (RDJ) has temporarily extended the usual format of the online journal with so-called ‘showcases’, separate web pages containing a quick introduction to a dataset, embedded multimedia, interactive components, and facilities to directly preview and explore the ...
Leen Breure, Peter Doorn, Hans Voorbij
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Multimodal interaction for data visualization [PDF]

Proceedings of the 2018 International Conference on Advanced Visual Interfaces, 2018
Multimodal interaction offers many potential benefits for data visualization. It can help people stay in the flow of their visual analysis and presentation, with the strengths of one interaction modality offsetting the weaknesses of others. Furthermore, multimodal interaction offers strong promise for leveraging data visualization on diverse display ...
Bongshin Lee, Arjun Srinivasan, John T. Stasko, Melanie Tory, Vidya Setlur   +4 more
openaire   +1 more source

Integrative analysis of single-cell expression data reveals distinct regulatory states in bidirectional promoters

Epigenetics & Chromatin, 2018
Background Bidirectional promoters (BPs) are prevalent in eukaryotic genomes. However, it is poorly understood how the cell integrates different epigenomic information, such as transcription factor (TF) binding and chromatin marks, to drive gene ...
Fatemeh Behjati Ardakani, Kathrin Kattler, Karl Nordström, Nina Gasparoni, Gilles Gasparoni, Sarah Fuchs, Anupam Sinha, Matthias Barann, Peter Ebert, Jonas Fischer, Barbara Hutter, Gideon Zipprich, Charles D. Imbusch, Bärbel Felder, Jürgen Eils, Benedikt Brors, Thomas Lengauer, Thomas Manke, Philip Rosenstiel, Jörn Walter, Marcel H. Schulz   +20 more
doaj   +1 more source

Multimodal Classification of Urban Micro-Events [PDF]

, 2019
In this paper we seek methods to effectively detect urban micro-events. Urban micro-events are events which occur in cities, have limited geographical coverage and typically affect only a small group of citizens.
Awad George, Gysel Christophe Van, Jayarajah Kasthuri, Juan, Kamel Boulos Maged N, Kanojia Diptesh, Lin Shuying   +6 more
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FusionSense: Emotion Classification Using Feature Fusion of Multimodal Data and Deep Learning in a Brain-Inspired Spiking Neural Network

Sensors, 2020
Using multimodal signals to solve the problem of emotion recognition is one of the emerging trends in affective computing. Several studies have utilized state of the art deep learning methods and combined physiological signals, such as the ...
Clarence Tan, Gerardo Ceballos, Nikola Kasabov, Narayan Puthanmadam Subramaniyam   +3 more
doaj   +1 more source

Embracing Multimodal Data in Multimedia Data Analysis [PDF]

IEEE MultiMedia, 2021
Multimedia data analysis is at the heart of multimedia research, where the patterns, information, and knowledge are mined and recognized from the multimedia data for various applications. We have witnessed significant performance improvements in multimedia data analysis driven by the recent advances in artificial intelligence and deep learning.
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SMDB: a Spatial Multimodal Data Browser

Nucleic Acids Research, 2023
Abstract Understanding the relationship between fine-scale spatial organization and biological function necessitates a tool that effectively combines spatial positions, morphological information, and spatial transcriptomics (ST) data.
Ruifang Cao, Yunchao Ling, Jiayue Meng, Ao Jiang, Ruijin Luo, Qinwen He, Anan Li, Yujie Chen, Zoutao Zhang, Feng Liu, Yixue Li, Guoqing Zhang 0006   +11 more
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