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09/18/2023
Asymptotically Efficient Online Learning for Censored Regression Models Under Non-I.I.D Data
The asymptotically efficient online learning problem is investigated for...
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05/16/2023
Lightweight Self-Knowledge Distillation with Multi-source Information Fusion
Knowledge Distillation (KD) is a powerful technique for transferring kno...
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04/09/2023
Automated Prompting for Non-overlapping Cross-domain Sequential Recommendation
Cross-domain Recommendation (CR) has been extensively studied in recent ...
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04/01/2023
Sector Bounds for Vertical Cable Force Error in Cable-Suspended Load Transportation System
This article studies the collaborative transportation of a cable-suspend...
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03/28/2023
Multidimensional Resource Fragmentation-Aware Virtual Network Embedding in MEC Systems Interconnected by Metro Optical Networks
The increasing demand for diverse emerging applications has resulted in ...
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02/07/2023
Towards Lightweight Cross-domain Sequential Recommendation via External Attention-enhanced Graph Convolution Network
Cross-domain Sequential Recommendation (CSR) is an emerging yet challeng...
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09/19/2022
OPR-Miner: Order-preserving rule mining for time series
Discovering frequent trends in time series is a critical task in data mi...
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07/25/2022
Deep Forest with Hashing Screening and Window Screening
As a novel deep learning model, gcForest has been widely used in various...
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07/14/2022
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model
Recently brain networks have been widely adopted to study brain dynamics...
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06/16/2022
Reinforcement Learning-enhanced Shared-account Cross-domain Sequential Recommendation
Shared-account Cross-domain Sequential Recommendation (SCSR) is an emerg...
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06/16/2022
Time Interval-enhanced Graph Neural Network for Shared-account Cross-domain Sequential Recommendation
Shared-account Cross-domain Sequential Recommendation (SCSR) task aims t...
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01/09/2022
OPP-Miner: Order-preserving sequential pattern mining
A time series is a collection of measurements in chronological order. Di...
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12/25/2021
DBC-Forest: Deep forest with binning confidence screening
As a deep learning model, deep confidence screening forest (gcForestcs) ...
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09/09/2021
Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation
With the prevalence of social media, there has recently been a prolifera...
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07/22/2021
Tri-Branch Convolutional Neural Networks for Top-k Focused Academic Performance Prediction
Academic performance prediction aims to leverage student-related informa...
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07/08/2021
Identification and Adaptation with Binary-Valued Observations under Non-Persistent Excitation Condition
Dynamical systems with binary-valued observations are widely used in inf...
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05/07/2021
DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation
Shared-account Cross-domain Sequential recommendation (SCSR) is the task...
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03/24/2021
Hierarchical Hyperedge Embedding-based Representation Learning for Group Recommendation
In this work, we study group recommendation in a particular scenario, na...
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08/16/2020
OpenFraming: We brought the ML; you bring the data. Interact with your data and discover its frames
When journalists cover a news story, they can cover the story from multi...
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05/23/2020
Adversarial Attack on Hierarchical Graph Pooling Neural Networks
Recent years have witnessed the emergence and development of graph neura...
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05/03/2020
Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities
Remote sensing image scene classification, which aims at labeling remote...
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02/11/2020
Performance Comparison of Crowdworkers and NLP Tools onNamed-Entity Recognition and Sentiment Analysis of Political Tweets
We report results of a comparison of the accuracy of crowdworkers and se...
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01/11/2019
BUOCA: Budget-Optimized Crowd Worker Allocation
Due to concerns about human error in crowdsourcing, it is standard pract...
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08/31/2016