2022 Volume 13 Issue 6
- Anthology ID:
- 2022.tist_journal-ir0anthology0volumeA13A6
- Year:
- 2022
Impact of Driving Behavior on Commuter's Comfort During Cab Rides: Towards a New Perspective of Driver Rating
Rohit Verma
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Sugandh Pargal
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Debasree Das
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Tanusree Parbat
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Sai Shankar Kambalapalli
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Bivas Mitra
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Sandip Chakraborty
Intrinsic Performance Influence-based Participant Contribution Estimation for Horizontal Federated Learning
Lin Zhang
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Lixin Fan
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Yong Luo
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Ling-Yu Duan
DeepExpress: Heterogeneous and Coupled Sequence Modeling for Express Delivery Prediction
Siyuan Ren
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Bin Guo
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Longbing Cao
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Ke Li
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Jiaqi Liu
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Zhiwen Yu
Jointly Optimizing Expressional and Residual Models for 3D Facial Expression Removal
Qian Zheng
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Yueming Wang
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Zhenfang Hu
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Xiaobo Zhang
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Zhaohui Wu
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Gang Pan
Two-Level Optimization to Reduce Waiting Time at Locks in Inland Waterway Transportation
Wided Hammedi
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Sidi Mohammed Senouci
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Philippe Brunet
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Metzli Ramirez-Martinez
CoPhy-PGNN: Learning Physics-guided Neural Networks with Competing Loss Functions for Solving Eigenvalue Problems
Mohannad Elhamod
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Jie Bu
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Christopher Singh
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Matthew Redell
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Abantika Ghosh
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Viktor Podolskiy
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Wei-Cheng Lee
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Anuj Karpatne
MetaDetector: Meta Event Knowledge Transfer for Fake News Detection
Yasan Ding
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Bin Guo
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Yan Liu
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Yunji Liang
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Haocheng Shen
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Zhiwen Yu
CAFE and SOUP: Toward Adaptive VDI Workload Prediction
Yao Zhang
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Wenping Fan
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Qichen Hao
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Xinya Wu
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Min-Ling Zhang
A Holistic Approach for Role Inference and Action Anticipation in Human Teams
Junyi Dong
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Qingze Huo
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Silvia Ferrari
Steering-by-example for Progressive Visual Analytics
Marius Hogräfer
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Marco Angelini
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Giuseppe Santucci
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Hans-Jörg Schulz
Representation Learning on Variable Length and Incomplete Wearable-Sensory Time Series
Xian Wu
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Chao Huang
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Pablo Robles-Granda
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Nitesh V. Chawla
Performance Evaluation of Aggregation-based Group Recommender Systems for Ephemeral Groups
Edgar Eduardo Ceh-Varela
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Huiping Cao
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Hady W. Lauw
Cross-Silo Federated Learning for Multi-Tier Networks with Vertical and Horizontal Data Partitioning
Anirban Das
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Timothy Castiglia
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Shiqiang Wang
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Stacy Patterson
Budget Distributed Support Vector Machine for Non-ID Federated Learning Scenarios
Ángel Navia-Vázquez
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Roberto Díaz-Morales
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Marcos Fernández Díaz
Detecting Extreme Traffic Events Via a Context Augmented Graph Autoencoder
Yue Hu
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Ao Qu
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Dan Work
Privacy-preserving Collaborative Filtering by Distributed Mediation
Tamir Tassa
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Alon Ben Horin
Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes
Vinayak Gupta
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Srikanta Bedathur
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Sourangshu Bhattacharya
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Abir De
AggEnhance: Aggregation Enhancement by Class Interior Points in Federated Learning with Non-IID Data
Jinxiang Ou
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Yunheng Shen
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Feng Wang
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Qiao Liu
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Xuegong Zhang
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Hairong Lv
Shifting Capsule Networks from the Cloud to the Deep Edge
Miguel Costa
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Diogo Costa
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Tiago Gomes
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Sandro Pinto