Investigating temporal sensory data via a graph theoretic approach

Data from each of these temporal sensory method are then analyzed using a graph theoretic approach. Cliques and attribute structures are identified. TCATA and ...

Modelling temporal sensory data via a graph theoretic approach ...

First, temporal check-all-that-apply (TCATA) data are investigated: ten sensory attributes are modelled as vertices and concurrent perception as edges, the size ...

Modelling temporal sensory data via a graphic theoretical approach ...

A graphic theoretical approach is applied to investigate perception dynamics. First, TCATA are investigated: sensory attributes are modelled as vertices and ...

tempR: Temporal Sensory Data Analysis

... data. References. Castura, J.C. (2019). Investigating temporal sensory data via a graph theoretic approach. Food. Quality and Preference, 79, 103787. doi ...

Recent Publications - European Sensory Network

Investigating temporal sensory data via a graph theoretic approach. J.C. Castura (2019) (Food Quality and Preference) Volume 79, 103787. doi:https://doi.org ...

Sensory research and Temporal Descriptive Methods - Science Talks

38. Castura, J.C.. Investigating temporal sensory data via a graph theoretic approach. Food Qual. Prefer. 2020; 79. Crossref.

Multi‐attribute temporal descriptive methods in sensory analysis ...

... temporal methods by mapping the scientific literature using a ... Investigating temporal sensory data via a graph theoretic approach.

Linking Temporal Dominance of Sensations for Primary-Sensory ...

Investigating temporal sensory data via a graph theoretic approach. Food Qual. Prefer. 2020;79:103787. doi: 10.1016/j.foodqual.2019.103787 ...

The analysis of temporal check-all-that-apply (TCATA) data ...

Investigating temporal sensory data via a graph theoretic approach · J. C. Castura. Psychology, Computer Science. 2020. 10 Citations. Add to Library. Alert ...

A Timely Application—Temporal methods, past, present, and future

... data output associates hedonic TL data with TDS descriptive temporal data ... Investigating temporal sensory data via a graph theoretic approach.

Visualization of panel disagreement by attributes and pairs of...

Temporal Dominance of Sensations (TDS) is a sensory method to investigate the most dominant attribute in consumer perception over time.

TG-SPRED: Temporal Graph for Sensorial Data PREDiction

This study introduces an innovative method aimed at reducing energy consumption in sensor networks by predicting sensor data, thereby extending the network's ...

Investigating perception dynamics and uncertainty in temporal ...

Investigating perception dynamics and uncertainty in temporal sensory data via independent components analysis (ICA). 13th Pangborn Sensory Science Symposium.

A Spectral Graph Theoretic Approach for Monitoring Multivariate ...

However, in the context of our work, viz., analysis of multi-sensor/multivariate data using a graph theoretic approach, it is not tenable to assume an a priori ...

Temporal dominance of sensations (TDS) as a sensory profiling ...

Castura, Investigating temporal sensory data via a graph theoretic approach, Food Qual. ... temporal dominance of sensations method: a study with milk ...

Using TDS dyads and other dominance sequences to characterize ...

Food Research International. 2019. 15 Citations. Add to Library. Alert. Investigating temporal sensory data via a graph theoretic approach · J. C. Castura.

From static to temporal network theory: Applications to functional ...

Instead of representing the data with multiple graphlets, E can be used to derive the contact sequence or event-based representation containing the nodes and ...

Temporal precision and resolution of TDS and TCATA used ... - OUCI

Castura, Investigating temporal sensory data via a graph theoretic approach, Food Quality and Preference, № 79 ... Dietz, A TCATA by modality approach to study ...

TGL Workshop 2023 - Google Sites

... temporal graph predictions. To address this challenge, we propose a novel approach to explain temporal graph predictions via temporal motifs. The method ...

Exploring the structure and function of temporal networks with ...

(4) They allow for studying temporal networks without relying on a null model. Also, unlike the existing static-temporal graphlet approach, ...