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07/21/2023
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation
Medical imaging has witnessed remarkable progress but usually requires a...
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05/31/2023
MicroSegNet: A Deep Learning Approach for Prostate Segmentation on Micro-Ultrasound Images
Micro-ultrasound (micro-US) is a novel 29-MHz ultrasound technique that ...
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05/31/2023
Image Registration of In Vivo Micro-Ultrasound and Ex Vivo Pseudo-Whole Mount Histopathology Images of the Prostate: A Proof-of-Concept Study
Early diagnosis of prostate cancer significantly improves a patient's 5-...
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05/22/2023
ImSimCSE: Improving Contrastive Learning for Sentence Embeddings from Two Perspectives
This paper aims to improve contrastive learning for sentence embeddings ...
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05/13/2023
Self-Supervised Sentence Compression for Meeting Summarization
The conventional summarization model often fails to capture critical inf...
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05/09/2023
Message Passing Neural Networks for Traffic Forecasting
A road network, in the context of traffic forecasting, is typically mode...
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05/09/2023
Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training
New roads are being constructed all the time. However, the capabilities ...
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04/23/2023
CANet: Curved Guide Line Network with Adaptive Decoder for Lane Detection
Lane detection is challenging due to the complicated on road scenarios a...
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02/20/2023
Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting
Traffic forecasting is a critical task to extract values from cyber-phys...
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02/09/2023
CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning
This work aims to tackle a major challenge in offline Inverse Reinforcem...
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01/11/2023
Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction
Sparsity is a common issue in many trajectory datasets, including human ...
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11/23/2022
Mutual Information Learned Regressor: an Information-theoretic Viewpoint of Training Regression Systems
As one of the central tasks in machine learning, regression finds lots o...
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11/11/2022
Integrated Convolutional and Recurrent Neural Networks for Health Risk Prediction using Patient Journey Data with Many Missing Values
Predicting the health risks of patients using Electronic Health Records ...
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09/21/2022
Mutual Information Learned Classifiers: an Information-theoretic Viewpoint of Training Deep Learning Classification Systems
Deep learning systems have been reported to achieve state-of-the-art per...
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07/11/2022
How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies
With the introduction of machine learning in high-stakes decision making...
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07/05/2022
CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers
Bird's eye view (BEV) semantic segmentation plays a crucial role in spat...
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06/16/2022
Towards Better Understanding with Uniformity and Explicit Regularization of Embeddings in Embedding-based Neural Topic Models
Embedding-based neural topic models could explicitly represent words and...
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04/23/2022
Long-term Spatio-temporal Forecasting via Dynamic Multiple-Graph Attention
Many real-world ubiquitous applications, such as parking recommendations...
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03/11/2022
A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence Embeddings
Contrastive learning has shown great potential in unsupervised sentence ...
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02/10/2022
Measuring disentangled generative spatio-temporal representation
Disentangled representation learning offers useful properties such as di...
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12/23/2021
Individual and Group-wise Classroom Seating Experience: Effects on Student Engagement in Different Courses
Seating location in the classroom can affect student engagement, involve...
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12/08/2021
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
To date few studies have comprehensively compared medical image registra...
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12/03/2021
Bridging the gap between prostate radiology and pathology through machine learning
Prostate cancer is the second deadliest cancer for American men. While M...
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07/01/2021
Investigating the Reliability of Self-report Survey in the Wild: The Quest for Ground Truth
Inferring human mental state (e.g., emotion, depression, engagement) wit...
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06/10/2021
MoParkeR : Multi-objective Parking Recommendation
Existing parking recommendation solutions mainly focus on finding and su...
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05/19/2021
Predicting Flight Delay with Spatio-Temporal Trajectory Convolutional Network and Airport Situational Awareness Map
To model and forecast flight delays accurately, it is crucial to harness...
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08/18/2020
Generative Adversarial Networks for Spatio-temporal Data: A Survey
Generative Adversarial Networks (GANs) have shown remarkable success in ...
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08/18/2020
Ordinal Pattern Kernel for Brain Connectivity Network Classification
Brain connectivity networks, which characterize the functional or struct...
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08/09/2020
Low-Rank Reorganization via Proportional Hazards Non-negative Matrix Factorization Unveils Survival Associated Gene Clusters
One of the central goals of precision health is the understanding and in...
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07/31/2020
CorrSigNet: Learning CORRelated Prostate Cancer SIGnatures from Radiology and Pathology Images for Improved Computer Aided Diagnosis
Magnetic Resonance Imaging (MRI) is widely used for screening and stagin...
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07/30/2020
G-CREWE: Graph CompREssion With Embedding for Network Alignment
Network alignment is useful for multiple applications that require incre...
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07/09/2020
n-Gage: Predicting in-class Emotional, Behavioural and Cognitive Engagement in the Wild
The study of student engagement has attracted growing interests to addre...
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05/31/2020
BiERU: Bidirectional Emotional Recurrent Unit for Conversational Sentiment Analysis
Sentiment analysis in conversations has gained increasing attention in r...
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05/07/2020
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT
Chest computed tomography (CT) becomes an effective tool to assist the d...
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04/29/2020
Transfer Learning for Thermal Comfort Prediction in Multiple Cities
HVAC (Heating, Ventilation and Air Conditioning) system is an important ...
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03/04/2020
Towards Fair Cross-Domain Adaptation via Generative Learning
Domain Adaptation (DA) targets at adapting a model trained over the well...
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11/05/2019
Flight Delay Prediction using Airport Situational Awareness Map
The prediction of flight delays plays a significantly important role for...
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09/24/2019
COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference
The process of automatic generation of a road map from GPS trajectories,...
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06/19/2019
Predicting Personality Traits from Physical Activity Intensity
Call and messaging logs from mobile devices have been used to predict hu...
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03/08/2019