UNSW

∙ Kensington , Australia ∙ 0 followers

The University of New South Wales is an Australian public research university located in the Sydney suburb of Kensington.

Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems

In recent years, the emerging topics of recommender systems that take ad...
04/28/2020 ∙ by Dai Hoang Tran, et al. ∙ 37 ∙ share

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SAT vs CSP: a commentary

In 2000, I published a relatively comprehensive study of mappings betwee...
09/27/2019 ∙ by Toby Walsh, et al. ∙ 23 ∙ share

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A Commentary on "Breaking Row and Column Symmetries in Matrix Models"

The CP 2002 paper entitled "Breaking Row and Column Symmetries in Matrix...
10/03/2019 ∙ by Alan M. Frisch, et al. ∙ 23 ∙ share

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CDSM – Casual Inference using Deep Bayesian Dynamic Survival Models

A smart healthcare system that supports clinicians for risk-calibrated t...
01/26/2021 ∙ by Jie Zhu, et al. ∙ 22 ∙ share

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Collective Embedding-based Entity Alignment via Adaptive Features

Entity alignment (EA) identifies entities that refer to the same real-wo...
12/18/2019 ∙ by Wexin Zeng, et al. ∙ 20 ∙ share

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Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weighting

Unsupervised domain adaptation (UDA) for nuclei instance segmentation is...
05/05/2020 ∙ by Dongnan Liu, et al. ∙ 19 ∙ share

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Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data

Introduction: For COVID-19 patients accurate prediction of disease sever...
11/19/2020 ∙ by Sakifa Aktar, et al. ∙ 19 ∙ share

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Deep Learning Based Unsupervised and Semi-supervised Classification for Keratoconus

The transparent cornea is the window of the eye, facilitating the entry ...
01/31/2020 ∙ by Nicole Hallett, et al. ∙ 18 ∙ share

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HaarPooling: Graph Pooling with Compressive Haar Basis

Deep Graph Neural Networks (GNNs) are instrumental in graph classificati...
09/25/2019 ∙ by Yu Guang Wang, et al. ∙ 14 ∙ share

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Binarized Graph Neural Network

Recently, there have been some breakthroughs in graph analysis by applyi...
04/19/2020 ∙ by Hanchen Wang, et al. ∙ 14 ∙ share

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Conservative Plane Releasing for Spatial Privacy Protection in Mixed Reality

Augmented reality (AR) or mixed reality (MR) platforms require spatial u...
04/17/2020 ∙ by Jaybie A. de Guzman, et al. ∙ 12 ∙ share

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Facility Location Problem with Capacity Constraints: Algorithmic and Mechanism Design Perspectives

We consider the facility location problem in the one-dimensional setting...
11/22/2019 ∙ by Haris Aziz, et al. ∙ 9 ∙ share

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Degree-Aware Alignment for Entities in Tail

Entity alignment (EA) is to discover equivalent entities in knowledge gr...
05/25/2020 ∙ by Weixin Zeng, et al. ∙ 9 ∙ share

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Strategy Proof Mechanisms for Facility Location in Euclidean and Manhattan Space

We study the impact on mechanisms for facility location of moving from o...
09/17/2020 ∙ by Toby Walsh, et al. ∙ 8 ∙ share

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Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation

Interactive recommendation aims to learn from dynamic interactions betwe...
04/17/2020 ∙ by Xiaocong Chen, et al. ∙ 7 ∙ share

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Fair Division: The Computer Scientist's Perspective

I survey recent progress on a classic and challenging problem in social ...
05/11/2020 ∙ by Toby Walsh, et al. ∙ 7 ∙ share

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Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting

Modeling complex spatial and temporal correlations in the correlated tim...
07/06/2020 ∙ by Lei Bai, et al. ∙ 7 ∙ share

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Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph

A variety of machine learning applications expect to achieve rapid learn...
05/10/2019 ∙ by Lu Liu, et al. ∙ 6 ∙ share

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The Ambiguous World of Emotion Representation

Artificial intelligence and machine learning systems have demonstrated h...
09/01/2019 ∙ by Vidhyasaharan Sethu, et al. ∙ 6 ∙ share

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A Pebble in the AI Race

Bhutan is sometimes described as pebble between two boulders", a small ...
03/30/2020 ∙ by Toby Walsh, et al. ∙ 5 ∙ share

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Dynamic prediction of time to event with survival curves

With the ever-growing complexity of primary health care system, proactiv...
01/26/2021 ∙ by Jie Zhu, et al. ∙ 5 ∙ share

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Boosting Resolution and Recovering Texture of micro-CT Images with Deep Learning

Digital Rock Imaging is constrained by detector hardware, and a trade-of...
07/15/2019 ∙ by Ying Da Wang, et al. ∙ 4 ∙ share

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Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images

The novel coronavirus disease 2019 (COVID-19) has been spreading rapidly...
04/12/2020 ∙ by Xiaocong Chen, et al. ∙ 4 ∙ share

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ML-LBM: Machine Learning Aided Flow Simulation in Porous Media

Simulation of fluid flow in porous media has many applications, from the...
04/22/2020 ∙ by Ying Da Wang, et al. ∙ 4 ∙ share

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Strategy Proof Mechanisms for Facility Location at Limited Locations

Facility location problems often permit facilities to be located at any ...
09/17/2020 ∙ by Toby Walsh, et al. ∙ 4 ∙ share

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Strategy Proof Mechanisms for Facility Location with Capacity Limits

An important feature of many real world facility location problems are c...
09/17/2020 ∙ by Toby Walsh, et al. ∙ 4 ∙ share

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CosmoVAE: Variational Autoencoder for CMB Image Inpainting

Cosmic microwave background radiation (CMB) is critical to the understan...
01/31/2020 ∙ by Kai Yi, et al. ∙ 3 ∙ share

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Real-time 3D object proposal generation and classification under limited processing resources

The task of detecting 3D objects is important to various robotic applica...
03/24/2020 ∙ by Xuesong Li, et al. ∙ 3 ∙ share

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ICE-GAN: Identity-aware and Capsule-Enhanced GAN for Micro-Expression Recognition and Synthesis

Micro-expressions can reflect peoples true feelings and motives, which a...
05/09/2020 ∙ by Jianhui Yu, et al. ∙ 3 ∙ share

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Physical Accuracy of Deep Neural Networks for 2D and 3D Multi-Mineral Segmentation of Rock micro-CT Images

Segmentation of 3D micro-Computed Tomographic uCT) images of rock sample...
02/13/2020 ∙ by Ying Da Wang, et al. ∙ 1 ∙ share

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Fullie and Wiselie: A Dual-Stream Recurrent Convolutional Attention Model for Activity Recognition

Multimodal features play a key role in wearable sensor based Human Activ...
11/21/2017 ∙ by Kaixuan Chen, et al. ∙ 0 ∙ share

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Deceased Organ Matching in Australia

Despite efforts to increase the supply of organs from living donors, mos...
10/18/2017 ∙ by Toby Walsh, et al. ∙ 0 ∙ share

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Achieving Proportional Representation via Voting

Proportional representation (PR) is often discussed in voting settings a...
08/25/2017 ∙ by Haris Aziz, et al. ∙ 0 ∙ share

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An Epistemic Foundation for Authentication Logics (Extended Abstract)

While there have been many attempts, going back to BAN logic, to base re...
07/27/2017 ∙ by Joseph Y. Halpern, et al. ∙ 0 ∙ share

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B-CNN: Branch Convolutional Neural Network for Hierarchical Classification

Convolutional Neural Network (CNN) image classifiers are traditionally d...
09/28/2017 ∙ by Xinqi Zhu, et al. ∙ 0 ∙ share

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Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis

An electroencephalography (EEG) based brain activity recognition is a fu...
09/26/2017 ∙ by Xiang Zhang, et al. ∙ 0 ∙ share

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Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals

An electroencephalography (EEG) based Brain Computer Interface (BCI) ena...
09/26/2017 ∙ by Xiang Zhang, et al. ∙ 0 ∙ share

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Where to Focus: Deep Attention-based Spatially Recurrent Bilinear Networks for Fine-Grained Visual Recognition

Fine-grained visual recognition typically depends on modeling subtle dif...
09/18/2017 ∙ by Lin Wu, et al. ∙ 0 ∙ share

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Multi-View Spectral Clustering via Structured Low-Rank Matrix Factorization

Multi-view data clustering attracts more attention than their single vie...
09/05/2017 ∙ by Yang Wang, et al. ∙ 0 ∙ share

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A Reasoning System for a First-Order Logic of Limited Belief

Logics of limited belief aim at enabling computationally feasible reason...
05/04/2017 ∙ by Christoph Schwering, et al. ∙ 0 ∙ share

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Finding Modes by Probabilistic Hypergraphs Shifting

In this paper, we develop a novel paradigm, namely hypergraph shift, to ...
04/12/2017 ∙ by Yang Wang, et al. ∙ 0 ∙ share

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Beyond Low-Rank Representations: Orthogonal Clustering Basis Reconstruction with Optimized Graph Structure for Multi-view Spectral Clustering

Low-Rank Representation (LRR) is arguably one of the most powerful parad...
08/04/2017 ∙ by Yang Wang, et al. ∙ 0 ∙ share

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Sparse, guided feature connections in an Abstract Deep Network

We present a technique for developing a network of re-used features, whe...
12/16/2014 ∙ by Anthony Knittel, et al. ∙ 0 ∙ share

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Computational Complexity of Testing Proportional Justified Representation

We consider a committee voting setting in which each voter approves of a...
12/20/2016 ∙ by Haris Aziz, et al. ∙ 0 ∙ share

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Enhanced Estimation of Autoregressive Wind Power Prediction Model Using Constriction Factor Particle Swarm Optimization

Accurate forecasting is important for cost-effective and efficient monit...
08/21/2014 ∙ by Adnan Anwar, et al. ∙ 0 ∙ share

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Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification

Person re-identification (re-id) aims to match pedestrians observed by d...
06/10/2017 ∙ by Lin Wu, et al. ∙ 0 ∙ share

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Semi-parametric Network Structure Discovery Models

We propose a network structure discovery model for continuous observatio...
02/27/2017 ∙ by Amir Dezfouli, et al. ∙ 0 ∙ share

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Geometry of Interest (GOI): Spatio-Temporal Destination Extraction and Partitioning in GPS Trajectory Data

Nowadays large amounts of GPS trajectory data is being continuously coll...
03/14/2016 ∙ by Seyed Morteza Mousavi, et al. ∙ 0 ∙ share

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Backdoors into Heterogeneous Classes of SAT and CSP

In this paper we extend the classical notion of strong and weak backdoor...
09/18/2015 ∙ by Serge Gaspers, et al. ∙ 0 ∙ share

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Iterative Views Agreement: An Iterative Low-Rank based Structured Optimization Method to Multi-View Spectral Clustering

Multi-view spectral clustering, which aims at yielding an agreement or c...
08/19/2016 ∙ by Yang Wang, et al. ∙ 0 ∙ share

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