Search results for "ECoG"

Semi-blind Source Extraction Methods: Application to the measurement of non-contact physiological signs

2018

Non-contact physiological measurements are highlydesirable in many biomedical fields such asdiagnosis of infants, geriartic patients, patients withextreme physical trauma, and fitness and well-being.Remote photoplethysmography is increasingly beingused for non-contact measurement of heart rate fromvideos which is one of the most common biomedicalproperty required for most medical diagnosis. Oneof the common techniques for performing remotephotoplethysmography involves using Blind SourceSeparation (BSS) methods to extract the cardiacsignal from video data.In this context, the objective of this thesis is todevelop different methods in the field of extractionand separation of sources by improv…

Editorial:Governance AI ethics

2022

Birth and recognition of new States

2023

Birth and recognition of new States. 1. Introduction. 2. Modalities of State recognition. 3. Discretionary nature of recognition. 4. Emergence of the obligation not to recognise.

Data from: I smell where you walked – how chemical cues influence movement decisions in ants

2016

Interactions between animals are not restricted to direct encounters. Frequently, individuals detect the proximity of others through cues unintentionally left by others, such as prey species assessing predation risk based on indirect predator cues. However, while the importance of indirect cues in predator–prey interactions has been intensely studied, their role in interactions among competitors, and their consequences for community structure, are little known to date. Ant communities are usually structured by aggressive interactions between competing species. Responding to cues of others should be useful to avoid competitors or discover food sources. In ants and other insects, such cues in…

Large-scale nonlinear dimensionality reduction for network intrusion detection

2017

International audience; Network intrusion detection (NID) is a complex classification problem. In this paper, we combine classification with recent and scalable nonlinear dimensionality reduction (NLDR) methods. Classification and DR are not necessarily adversarial, provided adequate cluster magnification occurring in NLDR methods like $t$-SNE: DR mitigates the curse of dimensionality, while cluster magnification can maintain class separability. We demonstrate experimentally the effectiveness of the approach by analyzing and comparing results on the big KDD99 dataset, using both NLDR quality assessment and classification rate for SVMs and random forests. Since data involves features of mixe…

Interim Financial Reporting in the Perspective of harmonization of the Romanian Accountancy with the International Financial Reporting Standards

2007

The main objective of the interim financial reporting is to present, timely and regularly, information concerning the enterprise’s capacity to generate earnings and cash flows and its financial position and liquidity. International Accounting Standard 34 “Interim Financial Reporting” concerns the financial statements for an interim period. According to IAS 34, the interim financial report includes a complete or condensed set of financial statements, elaborated for a shorter period than a full financial year. The accounting policies for recognition and measurement should be applied in the same way as they are applied in the annual financial statements. However, the preparation of the interim…

A New Feature Selection Methodology for K-mers Representation of DNA Sequences

2015

DNA sequence decomposition into k-mers and their frequency counting, defines a mapping of a sequence into a numerical space by a numerical feature vector of fixed length. This simple process allows to compare sequences in an alignment free way, using common similarities and distance functions on the numerical codomain of the mapping. The most common used decomposition uses all the substrings of a fixed length k making the codomain of exponential dimension. This obviously can affect the time complexity of the similarity computation, and in general of the machine learning algorithm used for the purpose of sequence analysis. Moreover, the presence of possible noisy features can also affect the…

International opportunity recognition among small and medium-sized family firms

2011

Current research in the field of entrepreneurship emphasizes the importance of opportunity recognition as a key element in the entrepreneurial process. It has been recognized that network ties, activeness and alertness, and prior knowledge are related to how entrepreneurs recognize new opportunities. However, it is unclear how important these factors are when a firm explores opportunities for entry into a foreign market. In this exploratory case study, covering the international opportunity recognition of eight family-owned small and medium-sized enterprises (SMEs), we found that the firms in question mainly recognized international opportunities by establishing new formal ties rather than …

Hybrid vibration signal monitoring approach for rolling element bearings

2019

New approach to identify different lifetime stages of rolling element bearings, to improve early bearing fault detection, is presented. We extract characteristic features from vibration signals generated by rolling element bearings. This data is first pre-labelled with an unsupervised clustering method. Then, supervised methods are used to improve the labelling. Moreover, we assess feature importance with each classifier. From the practical point of view, the classifiers are compared on how early emergence of a bearing fault is being suggested. The results show that all of the classifiers are usable for bearing fault detection and the importance of the features was consistent. peerReviewed

The Two-Systems Account of Theory of Mind: Testing the Links to Social- Perceptual and Cognitive Abilities

2018

According to the two-systems account of theory of mind (ToM), understanding mental states of others involves both fast social-perceptual processes, as well as slower, reflexive cognitive operations (Frith and Frith, 2008; Apperly and Butterfill, 2009). To test the respective roles of specific abilities in either of these processes we administered 15 experimental procedures to a large sample of 343 participants, testing ability in face recognition and holistic perception, language, and reasoning. ToM was measured by a set of tasks requiring ability to track and to infer complex emotional and mental states of others from faces, eyes, spoken language, and prosody. We used structural equation m…