Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science
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TOTAL DOCUMENTS

(FIVE YEARS 34)

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(FIVE YEARS 0)

Published By Springer International Publishing

9783030757670, 9783030757687

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Addressing the Class Imbalance Problem in Medical Image Segmentation via Accelerated Tversky Loss Function

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-030-75768-7_31 ◽

2021 ◽

pp. 390-402

Author(s):

Nikhil Nasalwai ◽

Narinder Singh Punn ◽

Sanjay Kumar Sonbhadra ◽

Sonali Agarwal

Keyword(s):

Image Segmentation ◽

Loss Function ◽

Medical Image ◽

Class Imbalance ◽

Medical Image Segmentation ◽

Class Imbalance Problem ◽

Imbalance Problem

Self-supervised Adaptive Aggregator Learning on Graph

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-030-75768-7_3 ◽

2021 ◽

pp. 29-41

Author(s):

Bei Lin ◽

Binli Luo ◽

Jiaojiao He ◽

Ning Gui

A Fast Algorithm for Simultaneous Sparse Approximation

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-030-75768-7_4 ◽

2021 ◽

pp. 42-54

Author(s):

Guihong Wan ◽

Haim Schweitzer

Keyword(s):

Fast Algorithm ◽

Sparse Approximation

Quality Control for Hierarchical Classification with Incomplete Annotations

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-030-75768-7_18 ◽

2021 ◽

pp. 219-230

Author(s):

Masafumi Enomoto ◽

Kunihiro Takeoka ◽

Yuyang Dong ◽

Masafumi Oyamada ◽

Takeshi Okadome

Keyword(s):

Quality Control ◽

Hierarchical Classification

A Multi-task Kernel Learning Algorithm for Survival Analysis

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-030-75768-7_24 ◽

2021 ◽

pp. 298-311

Author(s):

Zizhuo Meng ◽

Jie Xu ◽

Zhidong Li ◽

Yang Wang ◽

Fang Chen ◽

...

Keyword(s):

Survival Analysis ◽

Learning Algorithm ◽

Kernel Learning

Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-030-75768-7_17 ◽

2021 ◽

pp. 206-218

Author(s):

Weipeng Huang ◽

Nishma Laitonjam ◽

Guangyuan Piao ◽

Neil J. Hurley

Keyword(s):

Bayesian Nonparametric ◽

Nonparametric Approach

LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-030-75768-7_15 ◽

2021 ◽

pp. 181-193

Author(s):

Zhiyuan Ning ◽

Ziyue Qiao ◽

Hao Dong ◽

Yi Du ◽

Yuanchun Zhou

Keyword(s):

Graph Embedding ◽

Knowledge Graph ◽

Context Aware ◽

Lightweight Framework

STEPs-RL: Speech-Text Entanglement for Phonetically Sound Representation Learning

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-030-75768-7_5 ◽

2021 ◽

pp. 55-66

Author(s):

Prakamya Mishra

Keyword(s):

Representation Learning

SST-GNN: Simplified Spatio-Temporal Traffic Forecasting Model Using Graph Neural Network

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-030-75768-7_8 ◽

2021 ◽

pp. 90-102

Author(s):

Amit Roy ◽

Kashob Kumar Roy ◽

Amin Ahsan Ali ◽

M. Ashraful Amin ◽

A. K. M. Mahbubur Rahman

Keyword(s):

Neural Network ◽

Forecasting Model ◽

Traffic Forecasting ◽

Spatio Temporal

Human-Understandable Decision Making for Visual Recognition

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-030-75768-7_14 ◽

2021 ◽

pp. 168-180

Author(s):

Xiaowei Zhou ◽

Jie Yin ◽

Ivor Tsang ◽

Chen Wang

Keyword(s):

Decision Making ◽

Visual Recognition

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Addressing the Class Imbalance Problem in Medical Image Segmentation via Accelerated Tversky Loss Function

Self-supervised Adaptive Aggregator Learning on Graph

A Fast Algorithm for Simultaneous Sparse Approximation

Quality Control for Hierarchical Classification with Incomplete Annotations

A Multi-task Kernel Learning Algorithm for Survival Analysis

Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach

LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding

STEPs-RL: Speech-Text Entanglement for Phonetically Sound Representation Learning

SST-GNN: Simplified Spatio-Temporal Traffic Forecasting Model Using Graph Neural Network

Human-Understandable Decision Making for Visual Recognition

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science
Latest Publications