AIMC Topic: Time

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Modeling multivariate clinical event time-series with recurrent temporal mechanisms.

Artificial intelligence in medicine
In this work, we propose a novel autoregressive event time-series model that can predict future occurrences of multivariate clinical events. Our model represents multivariate event time-series using different temporal mechanisms aimed to fit differen...

Prediction of hierarchical time series using structured regularization and its application to artificial neural networks.

PloS one
This paper discusses the prediction of hierarchical time series, where each upper-level time series is calculated by summing appropriate lower-level time series. Forecasts for such hierarchical time series should be coherent, meaning that the forecas...

Multifactorial 10-Year Prior Diagnosis Prediction Model of Dementia.

International journal of environmental research and public health
Dementia is a neurodegenerative disorder that affects the older adult population. To date, no cure or treatment to change its course is available. Since changes in the brains of affected individuals could be evidenced as early as 10 years before the ...

Finite-time stabilization and energy consumption estimation for delayed neural networks with bounded activation function.

Neural networks : the official journal of the International Neural Network Society
This paper concentrates on finite-time stabilization and energy consumption estimation for one type of delayed neural networks (DNNs) with bounded activation function. Under the bounded activation function condition and using the comparison theorem, ...

Bifurcations in a fractional-order neural network with multiple leakage delays.

Neural networks : the official journal of the International Neural Network Society
This paper expatiates the stability and bifurcation for a fractional-order neural network (FONN) with double leakage delays. Firstly, the characteristic equation of the developed FONN is circumspectly researched by employing inequable delays as bifur...

Extraction of temporal relations from clinical free text: A systematic review of current approaches.

Journal of biomedical informatics
BACKGROUND: Temporal relations between clinical events play an important role in clinical assessment and decision making. Extracting such relations from free text data is a challenging task because it lies on between medical natural language processi...

Novel results on finite-time stabilization of state-based switched chaotic inertial neural networks with distributed delays.

Neural networks : the official journal of the International Neural Network Society
The p-norm finite-time stabilization (FTS) issue of a class of state-based switched inertial chaotic neural networks (SBSCINNs) with distributed time-varying delays is investigated. By using a suitable variable transformation, such second-order SBSCI...

Jellytoring: Real-Time Jellyfish Monitoring Based on Deep Learning Object Detection.

Sensors (Basel, Switzerland)
During the past decades, the composition and distribution of marine species have changed due to multiple anthropogenic pressures. Monitoring these changes in a cost-effective manner is of high relevance to assess the environmental status and evaluate...

Achievability to Extract Specific Date Information for Cancer Research.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Accurate identification of temporal information such as date is crucial for advancing cancer research which often requires precise date information associated with related cancer events. However, there is a gap for existing natural language processin...

Finite-time synchronization of fractional-order gene regulatory networks with time delay.

Neural networks : the official journal of the International Neural Network Society
As multi-gene networks transmit signals and products by synchronous cooperation, investigating the synchronization of gene regulatory networks may help us to explore the biological rhythm and internal mechanisms at molecular and cellular levels. We a...