Research Explorer

Your browser does not support JavaScript or JavaScript is not enabled. Without JavaScript some functions of this webapplication may be disabled or cause error messages. To enable JavaScript, please consult the manual of your browser or contact your system administrator.

Researcher

Bo Kang

Awards & Distinctions

53 Results

2024

Cooperative scene-event modelling for acoustic scene classification

Yuanbo HouBo KangAndrew MitchellWenwu WangJian KangDick Botteldooren

A1 Journal Article in IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING

FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources

Nan LiBo KangJefrey LijffijtTijl De Bie

U Journal Article in ACM Transactions on Intelligent Systems and Technology

2023

FEIR : quantifying and reducing envy and inferiority for fair recommendation of limited resources

Nan LiBo KangJefrey LijffijtTijl De Bie

GREASE : graph imbalance reduction by adding sets of edges

Yoosof MashayekhiBo KangJefrey LijffijtTijl De Bie

A1 Journal Article in IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

ReCon : reducing congestion in job recommendation using optimal transport

Yoosof MashayekhiBo KangJefrey LijffijtTijl De Bie

Revised conditional t-SNE : looking beyond the nearest neighbors

Edith HeiterBo KangRuth SeurinckJefrey Lijffijt

SkillGPT : a RESTful API service for skill extraction and standardization using a Large Language Model

Nan LiBo KangTijl De Bie

2022

A challenge-based survey of e-recruitment recommendation systems

Yoosof MashayekhiNan LiBo KangJefrey LijffijtTijl De Bie

Audio-visual scene classification via contrastive event-object alignment and semantic-based fusion

Yuanbo HouBo KangDick Botteldooren

CT-SAT : contextual transformer for sequential audio tagging

Yuanbo HouZhaoyi LiuBo KangYun WangDick Botteldooren

Evaluating representation learning and graph layout methods for visualization

Edith HeiterBo KangTijl De BieJefrey Lijffijt

A1 Journal Article in IEEE COMPUTER GRAPHICS AND APPLICATIONS

Graph-survival : a survival analysis framework for machine learning on temporal networks

Raphaël RomeroBo KangTijl De Bie

Relation-guided acoustic scene classification aided with event embeddings

Yuanbo HouBo KangWout Van HauwermeirenDick Botteldooren

The curse revisited : when are distances informative for the ground truth in noisy high-dimensional data?

Robin VandaeleBo KangTijl De BieYvan Saeys

Topologically regularized data embeddings

Robin VandaeleBo KangJefrey LijffijtTijl De BieYvan Saeys

2021

ALPINE : active link prediction using network embedding

Xi ChenBo KangJefrey LijffijtTijl De Bie

A1 Journal Article in APPLIED SCIENCES-BASEL

Adversarial robustness of probabilistic network embedding for link prediction

Xi ChenBo KangJefrey LijffijtTijl De Bie

Conditional t-SNE : more informative t-SNE embeddings

Bo KangDario Garcia GarciaJefrey LijffijtRaul Santos-RodriguezTijl De Bie

Conditional t-SNE : more informative t-SNE embeddings

Bo KangDarío García GarcíaJefrey LijffijtRaúl Santos-RodríguezTijl De Bie

A1 Journal Article in MACHINE LEARNING

Explanations for network embedding-based link predictions

Bo KangJefrey LijffijtTijl De Bie

FONDUE : a framework for node disambiguation and deduplication using network embeddings

Ahmad MelBo KangJefrey LijffijtTijl De Bie

A1 Journal Article in APPLIED SCIENCES-BASEL

Quantifying and reducing imbalance in networks

Yoosof MashayekhiBo KangJefrey LijffijtTijl De Bie

Quantifying and reducing imbalance in networks

Yoosof MashayekhiBo KangJefrey LijffijtTijl De Bie

2020

A constrained randomization approach to interactive visual data exploration with subjective feedback

Bo KangKai PuolamäkiJefrey LijffijtTijl De Bie

A1 Journal Article in IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

ALPINE : Active Link Prediction using Network Embedding

Xi ChenBo KangJefrey LijffijtTijl De Bie

Explainable subgraphs with surprising densities : a subgroup discovery approach

Junning DengBo KangJefrey LijffijtTijl De Bie

FONDUE : framework for node disambiguation using network embeddings

Ahmad MelBo KangJefrey LijffijtTijl De Bie

Interactive visual data exploration with subjective feedback : an information-theoretic approach

Kai PuolamäkiEmilia OikarinenBo KangJefrey LijffijtTijl De Bie

A1 Journal Article in DATA MINING AND KNOWLEDGE DISCOVERY

Mining explainable local and global subgraph patterns with surprising densities

Junning DengBo KangJefrey LijffijtTijl De Bie

A1 Journal Article in DATA MINING AND KNOWLEDGE DISCOVERY

2019

Conditional network embeddings

Bo KangJefrey LijffijtTijl De Bie

ExplaiNE : an approach for Explaining Network Embedding-based link predictions

Bo KangJefrey LijffijtTijl De Bie

Explainable subgraphs with surprising densities : a subgroup discovery approach

Junning DengBo KangJefrey LijffijtTijl De Bie

Learning subjectively interesting data representations

Bo KangTijl De BieJefrey Lijffijt

SIMIT : subjectively interesting motifs in time series

Junning DengJefrey LijffijtBo KangTijl De Bie

A1 Journal Article in ENTROPY

2018

CLIPPR: Maximally Informative CLIPped PRojections with Bounding Regions

Bo KangDylan CashmanRemco ChangJefrey LijffijtTijl De Bie

Conditional network embeddings

Bo KangJefrey LijffijtTijl De Bie

Interactive visual data exploration with subjective feedback : an information-theoretic approach

Kai PuolamäkiEmilia OikarinenBo KangJefrey LijffijtTijl De Bie

SICA : subjectively interesting component analysis

Bo KangJefrey LijffijtRaúl Santos-RodríguezTijl De Bie

A1 Journal Article in DATA MINING AND KNOWLEDGE DISCOVERY

Subjectively interesting motifs in time series

Junning DengJefrey LijffijtBo KangTijl De Bie

Subjectively interesting subgroup discovery on real-valued targets

Jefrey LijffijtBo KangWouter DuivesteijnKai PuolamäkiEmilia OikarinenTijl De Bie

2017

Clipped projections for more informative visualizations [a work-in-progress report]

Bo KangJunning DengJefrey LijffijtTijl De Bie

Interactive visual data exploration with subjective feedback : an information-theoretic approach

Kai PuolamäkiEmilia OikarinenBo KangJefrey LijffijtTijl De Bie

Subjectively Interesting Subgroup Discovery on Real-valued Targets

Jefrey LijffijtBo KangWouter DuivesteijnKai PuolamäkiEmilia OikarinenTijl De Bie

2016

A tool for subjective and interactive visual data exploration

Bo KangKai PuolamäkiJefrey LijffijtTijl De Bie

Informative data projections : a framework and two examples

Tijl De BieJefrey LijffijtRaul Santos-RodriguezBo Kang

Interactive visual data exploration with subjective feedback

Kai PuolamäkiBo KangJefrey LijffijtTijl De Bie

P-N-RMiner : a generic framework for mining interesting structured relational patterns

Jefrey LijffijtEirini SpyropoulouBo KangTijl De Bie

A2 Journal Article in INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS

SIDE : a web app for interactive visual data exploration with subjective feedback

Jefrey LijffijtBo KangKai PuolamäkiTijl De Bie

Subjectively interesting component analysis : data projections that contrast with prior expectations

Bo KangJefrey LijffijtRaúl Santos-RodríguezTijl De Bie

2015

Creedo : scalable and repeatable extrinsic evaluation for pattern discovery systems by online user studies

Mario BoleyMaike Krause-TraudesBo KangBjörn Jacobs

Informative data projections : a framework and two examples

Tijl De BieJefrey LijffijtRaul Santos-RodriguezBo Kang

P-N-RMiner : a generic framework for mining interesting structured relational patterns

Jefrey LijffijtEirini SpyropoulouBo KangTijl De Bie

2013

One click mining: interactive local pattern discovery through implicit preference and performance learning

Mario BoleyMichael MampaeyBo KangPavel TokmakovStefan Wrobel