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01/26/2022
A Multi-rater Comparative Study of Automatic Target Localization Methods for Epilepsy Deep Brain Stimulation Procedures
Epilepsy is the fourth most common neurological disorder and affects peo...
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01/25/2022
Unsupervised Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation via Semi-supervised Learning and Label Fusion
Automatic methods to segment the vestibular schwannoma (VS) tumors and t...
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01/08/2022
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation
Domain Adaptation (DA) has recently raised strong interests in the medic...
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12/01/2021
Trusted And Confidential Program Analysis
We develop the concept of Trusted and Confidential Program Analysis (TCP...
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11/03/2021
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications
Quantifying the uncertainty of supervised learning models plays an impor...
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10/26/2021
An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling
Intent classification (IC) and slot filling (SF) are critical building b...
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09/13/2021
Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation
Automatic methods to segment the vestibular schwannoma (VS) tumors and t...
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08/03/2021
Optimal Covariate Balancing Conditions in Propensity Score Estimation
Inverse probability of treatment weighting (IPTW) is a popular method fo...
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06/25/2021
CLOAK: A Framework For Development of Confidential Blockchain Smart Contracts
In recent years, as blockchain adoption has been expanding across a wide...
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06/08/2021
Review Polarity-wise Recommender
Utilizing review information to enhance recommendation, the de facto rev...
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05/26/2021
Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading
In this paper, we introduce an event-driven trading strategy that predic...
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03/04/2021
BLOCKEYE: Hunting For DeFi Attacks on Blockchain
Decentralized finance, i.e., DeFi, has become the most popular type of a...
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02/04/2021
Converse, Focus and Guess – Towards Multi-Document Driven Dialogue
We propose a novel task, Multi-Document Driven Dialogue (MD3), in which ...
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01/13/2021
Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making
Although AI holds promise for improving human decision making in societa...
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12/11/2020
Morphology Matters: A Multilingual Language Modeling Analysis
Prior studies in multilingual language modeling (e.g., Cotterell et al.,...
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11/03/2020
Uncertainty Estimation in Medical Image Localization: Towards Robust Anterior Thalamus Targeting for Deep Brain Stimulation
Atlas-based methods are the standard approaches for automatic targeting ...
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08/15/2020
Label-Wise Document Pre-Training for Multi-Label Text Classification
A major challenge of multi-label text classification (MLTC) is to stimul...
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06/27/2020
The flare Package for High Dimensional Linear Regression and Precision Matrix Estimation in R
This paper describes an R package named flare, which implements a family...
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06/26/2020
The huge Package for High-dimensional Undirected Graph Estimation in R
We describe an R package named huge which provides easy-to-use functions...
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06/10/2020
Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network
In this paper, we explore the slot tagging with only a few labeled suppo...
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05/16/2020
A Deep Learning based Wearable Healthcare IoT Device for AI-enabled Hearing Assistance Automation
With the recent booming of artificial intelligence (AI), particularly de...
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05/11/2020
Neural Polysynthetic Language Modelling
Research in natural language processing commonly assumes that approaches...
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03/19/2020
EQL – an extremely easy to learn knowledge graph query language, achieving highspeed and precise search
EQL, also named as Extremely Simple Query Language, can be widely used i...
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01/14/2020
"Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans
To support human decision making with machine learning models, we often ...
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12/22/2019
AdvCodec: Towards A Unified Framework for Adversarial Text Generation
While there has been great interest in generating imperceptible adversar...
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12/11/2019
Automatic quality assessment for 2D fetal sonographic standard plane based on multi-task learning
The quality control of fetal sonographic (FS) images is essential for th...
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09/27/2019
Clustering Uncertain Data via Representative Possible Worlds with Consistency Learning
Clustering uncertain data is an essential task in data mining for the in...
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09/26/2019
Attributed Graph Learning with 2-D Graph Convolution
Graph convolutional neural networks have demonstrated promising performa...
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09/16/2019
MVDLite: A Light-weight Model View Definition Representation with Fast Validation for Building Information Model
Model View Definition (MVD) is the standard methodology to define the ex...
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09/16/2019
MVDLite: A Light-weight Representation of Model View Definition with Fast Validation for BIM Applications
Model View Definition (MVD) is the standard methodology to define the pa...
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09/13/2019
Fast Low-rank Metric Learning for Large-scale and High-dimensional Data
Low-rank metric learning aims to learn better discrimination of data sub...
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07/14/2019
More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning
We consider the weakly supervised binary classification problem where th...
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06/20/2019
Few-Shot Sequence Labeling with Label Dependency Transfer
Few-shot sequence labeling faces a unique challenge compared with the ot...
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06/04/2019
Attributed Graph Clustering via Adaptive Graph Convolution
Attributed graph clustering is challenging as it requires joint modellin...
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05/28/2019
Estimating and Inferring the Maximum Degree of Stimulus-Locked Time-Varying Brain Connectivity Networks
Neuroscientists have enjoyed much success in understanding brain functio...
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12/19/2018
Covariance-based sample selection for heterogenous data: Applications to gene expression and autism risk gene detection
Risk for autism can be influenced by genetic mutations in hundreds of ge...
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12/06/2018
Finite-Sample Analyses for Fully Decentralized Multi-Agent Reinforcement Learning
Despite the increasing interest in multi-agent reinforcement learning (M...
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11/09/2018
EASYFLOW: Keep Ethereum Away From Overflow
While Ethereum smart contracts enabled a wide range of blockchain applic...
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10/31/2018
Performance assessment of the deep learning technologies in grading glaucoma severity
Objective: To validate and compare the performance of eight available de...
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10/30/2018
SDFN: Segmentation-based Deep Fusion Network for Thoracic Disease Classification in Chest X-ray Images
This study aims to automatically diagnose thoracic diseases depicted on ...
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10/19/2018
Super-pixel cloud detection using Hierarchical Fusion CNN
Cloud detection plays a very important role in the process of remote sen...
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10/10/2018
Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space
Most existing deep reinforcement learning (DRL) frameworks consider eith...
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09/25/2018
Fully Implicit Online Learning
Regularized online learning is widely used in machine learning. In this ...
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09/21/2018
High Temperature Structure Detection in Ferromagnets
This paper studies structure detection problems in high temperature ferr...
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09/19/2018
TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game
Starcraft II (SCII) is widely considered as the most challenging Real Ti...
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09/17/2018
A convex formulation for high-dimensional sparse sliced inverse regression
Sliced inverse regression is a popular tool for sufficient dimension red...
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09/11/2018
Factorized Q-Learning for Large-Scale Multi-Agent Systems
Deep Q-learning has achieved a significant success in single-agent decis...
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08/29/2018
Diffusion Approximations for Online Principal Component Estimation and Global Convergence
In this paper, we propose to adopt the diffusion approximation tools to ...
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08/29/2018
Online ICA: Understanding Global Dynamics of Nonconvex Optimization via Diffusion Processes
Solving statistical learning problems often involves nonconvex optimizat...
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08/21/2018
