Papers Early Classification
“Early Classification” 태그가 달린 논문 38편 · 필터 해제
Deep Learning-Based Sparse Whole-Slide Image Analysis for the Diagnosis of Gastric Intestinal Metaplasia
In recent years, deep learning has successfully been applied to automate a wide variety of tasks in diagnostic histopathology. However, fast and reliable localization of small-scale regions-of-interest (ROI) has remained…
CPUDiagnosticEarly ClassificationEarly and Revocable Time Series Classification
Many approaches have been proposed for early classification of time series in light of itssignificance in a wide range of applications including healthcare, transportation and fi-nance. Until now, the early classificatio…
ClassificationDecision MakingEarly ClassificationTime Series+2Snippet Policy Network for Multi-class Varied-length ECG Early Classification
Arrhythmia detection from ECG is an important research subject in the prevention and diagnosis of cardiovascular diseases. The prevailing studies formulate arrhythmia detection from ECG as a time series classification pr…
Arrhythmia DetectionClassificationDeep Reinforcement LearningEarly Classification+3The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization
We propose a model for multiclass classification of time series to make a prediction as early and as accurate as possible. The matrix sequential probability ratio test (MSPRT) is known to be asymptotically optimal for th…
Action RecognitionDensity Ratio EstimationEarly ClassificationTime Series+1Early Classification of Time Series is Meaningful
Many approaches have been proposed for early classification of time series in light of its significance in a wide range of applications including healthcare, transportation and finance. However, recently a preprint saved…
ClassificationEarly ClassificationGeneral ClassificationTime Series+1When is Early Classification of Time Series Meaningful?
Since its introduction two decades ago, there has been increasing interest in the problem of early classification of time series. This problem generalizes classic time series classification to ask if we can classify a ti…
ClassificationEarly ClassificationGeneral ClassificationTime Series+2Interpretable Sequence Classification via Discrete Optimization
Sequence classification is the task of predicting a class label given a sequence of observations. In many applications such as healthcare monitoring or intrusion detection, early classification is crucial to prompt inter…
ClassificationcounterfactualCounterfactual ReasoningEarly Classification+2Conditionally Deep Hybrid Neural Networks Across Edge and Cloud
The pervasiveness of "Internet-of-Things" in our daily life has led to a recent surge in fog computing, encompassing a collaboration of cloud computing and edge intelligence. To that effect, deep learning has been a majo…
ClassificationCloud ComputingEarly ClassificationGeneral Classification+3Early Classification of Time Series. Cost-based Optimization Criterion and Algorithms
An increasing number of applications require to recognize the class of an incoming time series as quickly as possible without unduly compromising the accuracy of the prediction. In this paper, we put forward a new optimi…
ClusteringEarly ClassificationGeneral ClassificationTime Series+1Approaches and Applications of Early Classification of Time Series: A Review
Early classification of time series has been extensively studied for minimizing class prediction delay in time-sensitive applications such as healthcare and finance. A primary task of an early classification approach is …
Activity RecognitionClassificationDiagnosticEarly Classification+5Early Classification for Agricultural Monitoring from Satellite Time Series
In this work, we introduce a recently developed early classification mechanism to satellite-based agricultural monitoring. It augments existing classification models by an additional stopping probability based on the pre…
ClassificationEarly ClassificationGeneral ClassificationTime Series+1Adaptive-Halting Policy Network for Early Classification
Early classification of time series is the prediction of the class label of a time series before it is observed in its entirety. In time-sensitive domains where information is collected over time it is worth sacrificing …
ClassificationEarly ClassificationGeneral ClassificationTime Series+1RAPID: Early Classification of Explosive Transients using Deep Learning
We present RAPID (Real-time Automated Photometric IDentification), a novel time-series classification tool capable of automatically identifying transients from within a day of the initial alert, to the full lifetime of a…
ClassificationDeep LearningEarly ClassificationGeneral Classification+3End-to-End Learned Early Classification of Time Series for In-Season Crop Type Mapping
Remote sensing satellites capture the cyclic dynamics of our Planet in regular time intervals recorded in satellite time series data. End-to-end trained deep learning models use this time series data to make predictions …
ClassificationCrop ClassificationCrop Type MappingEarly Classification+4Training Probabilistic Spiking Neural Networks with First-to-spike Decoding
Third-generation neural networks, or Spiking Neural Networks (SNNs), aim at harnessing the energy efficiency of spike-domain processing by building on computing elements that operate on, and exchange, spikes. In this pap…
ClassificationEarly ClassificationGeneral ClassificationWhat Will I Do Next? The Intention from Motion Experiment
In computer vision, video-based approaches have been widely explored for the early classification and the prediction of actions or activities. However, it remains unclear whether this modality (as compared to 3D kinemati…
Early ClassificationGeneral ClassificationPredictionEarliness-Aware Deep Convolutional Networks for Early Time Series Classification
We present Earliness-Aware Deep Convolutional Networks (EA-ConvNets), an end-to-end deep learning framework, for early classification of time series data. Unlike most existing methods for early classification of time ser…
ClassificationEarly ClassificationGeneral ClassificationTime Series+2Classifiers With a Reject Option for Early Time-Series Classification
Early classification of time-series data in a dynamic environment is a challenging problem of great importance in signal processing. This paper proposes a classifier architecture with a reject option capable of online de…
ClassificationDecision MakingEarly ClassificationGeneral Classification+3