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07/05/2023
PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records
This paper describes PULSAR, our system submission at the ImageClef 2023...
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06/05/2023
PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models
Medical progress notes play a crucial role in documenting a patient's ho...
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05/22/2023
Beyond Words: A Comprehensive Survey of Sentence Representations
Sentence representations have become a critical component in natural lan...
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04/27/2023
Mimic-IV-ICD: A new benchmark for eXtreme MultiLabel Classification
Clinical notes are assigned ICD codes - sets of codes for diagnoses and ...
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06/28/2022
Generating near-infrared facial expression datasets with dimensional affect labels
Facial expression analysis has long been an active research area of comp...
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01/13/2022
AI Singapore Trusted Media Challenge Dataset
The development of powerful deep learning technologies has brought about...
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10/19/2021
Detecting Blurred Ground-based Sky/Cloud Images
Ground-based whole sky imagers (WSIs) are being used by researchers in v...
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06/15/2021
Efficient Facial Expression Analysis For Dimensional Affect Recognition Using Geometric Features
Despite their continued popularity, categorical approaches to affect rec...
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03/04/2021
Morphset:Augmenting categorical emotion datasets with dimensional affect labels using face morphing
Emotion recognition and understanding is a vital componentin human-machi...
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06/25/2020
Empirical Analysis of Overfitting and Mode Drop in GAN Training
We examine two key questions in GAN training, namely overfitting and mod...
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12/16/2019
Subjective Quality Assessment of Ground-based Camera Images
Image quality assessment is critical to control and maintain the perceiv...
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10/11/2019
Estimating Solar Irradiance Using Sky Imagers
Ground-based whole sky cameras are extensively used for localized monito...
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04/16/2019
CloudSegNet: A Deep Network for Nychthemeron Cloud Image Segmentation
We analyze clouds in the earth's atmosphere using ground-based sky camer...
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04/03/2019
Recognition of Advertisement Emotions with Application to Computational Advertising
Advertisements (ads) often contain strong affective content to capture v...
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03/15/2019
Multi-label Cloud Segmentation Using a Deep Network
Different empirical models have been developed for cloud detection. Ther...
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02/09/2019
Venn GAN: Discovering Commonalities and Particularities of Multiple Distributions
We propose a GAN design which models multiple distributions effectively ...
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11/21/2018
PersEmoN: A Deep Network for Joint Analysis of Apparent Personality, Emotion and Their Relationship
Personality and emotion are both central to affective computing. Existin...
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09/12/2018
Investigating the generalizability of EEG-based Cognitive Load Estimation Across Visualizations
We examine if EEG-based cognitive load (CL) estimation is generalizable ...
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08/18/2018
EEG-based Evaluation of Cognitive Workload Induced by Acoustic Parameters for Data Sonification
Data Visualization has been receiving growing attention recently, with u...
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06/12/2018
The Unusual Effectiveness of Averaging in GAN Training
We show empirically that the optimal strategy of parameter averaging in ...
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05/02/2018
A Deep Network for Arousal-Valence Emotion Prediction with Acoustic-Visual Cues
In this paper, we comprehensively describe the methodology of our submis...
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03/02/2018
High-Dynamic-Range Imaging for Cloud Segmentation
Sky/cloud images obtained from ground-based sky-cameras are usually capt...
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08/24/2017
Study of Clear Sky Models for Singapore
The estimation of total solar irradiance falling on the earth's surface ...
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07/18/2017
Beyond Forward Shortcuts: Fully Convolutional Master-Slave Networks (MSNets) with Backward Skip Connections for Semantic Segmentation
Recent deep CNNs contain forward shortcut connections; i.e. skip connect...
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05/30/2017
Nighttime sky/cloud image segmentation
Imaging the atmosphere using ground-based sky cameras is a popular appro...
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03/15/2017
Cloud Radiative Effect Study Using Sky Camera
The analysis of clouds in the earth's atmosphere is important for a vari...
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01/17/2017
Systematic study of color spaces and components for the segmentation of sky/cloud images
Sky/cloud imaging using ground-based Whole Sky Imagers (WSI) is a cost-e...
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11/03/2016
Rough Set Based Color Channel Selection
Color channel selection is essential for accurate segmentation of sky an...
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10/21/2016
Detecting Rainfall Onset Using Sky Images
Ground-based sky cameras (popularly known as Whole Sky Imagers) are incr...
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10/21/2016
Short-term prediction of localized cloud motion using ground-based sky imagers
Fine-scale short-term cloud motion prediction is needed for several appl...
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06/12/2016
Color-based Segmentation of Sky/Cloud Images From Ground-based Cameras
Sky/cloud images captured by ground-based cameras (a.k.a. whole sky imag...
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06/09/2016
Machine Learning Techniques and Applications For Ground-based Image Analysis
Ground-based whole sky cameras have opened up new opportunities for moni...
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06/08/2016
Estimation of solar irradiance using ground-based whole sky imagers
Ground-based whole sky imagers (WSIs) can provide localized images of th...
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05/21/2016