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Researcher
Bo Kang
Profile
Projects
Publications
Activities
Awards & Distinctions
53
Results
2024
Cooperative scene-event modelling for acoustic scene classification
Yuanbo Hou
Bo Kang
Andrew Mitchell
Wenwu Wang
Jian Kang
Dick Botteldooren
A1
Journal Article
in
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING
2024
FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources
Nan Li
Bo Kang
Jefrey Lijffijt
Tijl De Bie
U
Journal Article
in
ACM Transactions on Intelligent Systems and Technology
2024
2023
FEIR : quantifying and reducing envy and inferiority for fair recommendation of limited resources
Nan Li
Bo Kang
Jefrey Lijffijt
Tijl De Bie
C1
Conference
2023
GREASE : graph imbalance reduction by adding sets of edges
Yoosof Mashayekhi
Bo Kang
Jefrey Lijffijt
Tijl De Bie
A1
Journal Article
in
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
2023
ReCon : reducing congestion in job recommendation using optimal transport
Yoosof Mashayekhi
Bo Kang
Jefrey Lijffijt
Tijl De Bie
P1
Conference
2023
Revised conditional t-SNE : looking beyond the nearest neighbors
Edith Heiter
Bo Kang
Ruth Seurinck
Jefrey Lijffijt
P1
Conference
2023
SkillGPT : a RESTful API service for skill extraction and standardization using a Large Language Model
Nan Li
Bo Kang
Tijl De Bie
Preprint
2023
2022
A challenge-based survey of e-recruitment recommendation systems
Yoosof Mashayekhi
Nan Li
Bo Kang
Jefrey Lijffijt
Tijl De Bie
Preprint
2022
Audio-visual scene classification via contrastive event-object alignment and semantic-based fusion
Yuanbo Hou
Bo Kang
Dick Botteldooren
P1
Conference
2022
CT-SAT : contextual transformer for sequential audio tagging
Yuanbo Hou
Zhaoyi Liu
Bo Kang
Yun Wang
Dick Botteldooren
P1
Conference
2022
Evaluating representation learning and graph layout methods for visualization
Edith Heiter
Bo Kang
Tijl De Bie
Jefrey Lijffijt
A1
Journal Article
in
IEEE COMPUTER GRAPHICS AND APPLICATIONS
2022
Graph-survival : a survival analysis framework for machine learning on temporal networks
Raphaël Romero
Bo Kang
Tijl De Bie
C1
Conference
2022
Relation-guided acoustic scene classification aided with event embeddings
Yuanbo Hou
Bo Kang
Wout Van Hauwermeiren
Dick Botteldooren
P1
Conference
2022
The curse revisited : when are distances informative for the ground truth in noisy high-dimensional data?
Robin Vandaele
Bo Kang
Tijl De Bie
Yvan Saeys
P1
Conference
2022
Topologically regularized data embeddings
Robin Vandaele
Bo Kang
Jefrey Lijffijt
Tijl De Bie
Yvan Saeys
C1
Conference
2022
2021
ALPINE : active link prediction using network embedding
Xi Chen
Bo Kang
Jefrey Lijffijt
Tijl De Bie
A1
Journal Article
in
APPLIED SCIENCES-BASEL
2021
Adversarial robustness of probabilistic network embedding for link prediction
Xi Chen
Bo Kang
Jefrey Lijffijt
Tijl De Bie
P1
Conference
2021
Conditional t-SNE : more informative t-SNE embeddings
Bo Kang
Dario Garcia Garcia
Jefrey Lijffijt
Raul Santos-Rodriguez
Tijl De Bie
P1
Conference
2021
Conditional t-SNE : more informative t-SNE embeddings
Bo Kang
Darío García García
Jefrey Lijffijt
Raúl Santos-Rodríguez
Tijl De Bie
A1
Journal Article
in
MACHINE LEARNING
2021
Explanations for network embedding-based link predictions
Bo Kang
Jefrey Lijffijt
Tijl De Bie
P1
Conference
2021
FONDUE : a framework for node disambiguation and deduplication using network embeddings
Ahmad Mel
Bo Kang
Jefrey Lijffijt
Tijl De Bie
A1
Journal Article
in
APPLIED SCIENCES-BASEL
2021
Quantifying and reducing imbalance in networks
Yoosof Mashayekhi
Bo Kang
Jefrey Lijffijt
Tijl De Bie
C1
Conference
2021
Quantifying and reducing imbalance in networks
Yoosof Mashayekhi
Bo Kang
Jefrey Lijffijt
Tijl De Bie
C1
Conference
2021
2020
A constrained randomization approach to interactive visual data exploration with subjective feedback
Bo Kang
Kai Puolamäki
Jefrey Lijffijt
Tijl De Bie
A1
Journal Article
in
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
2020
ALPINE : Active Link Prediction using Network Embedding
Xi Chen
Bo Kang
Jefrey Lijffijt
Tijl De Bie
Preprint
2020
Explainable subgraphs with surprising densities : a subgroup discovery approach
Junning Deng
Bo Kang
Jefrey Lijffijt
Tijl De Bie
P1
Conference
2020
FONDUE : framework for node disambiguation using network embeddings
Ahmad Mel
Bo Kang
Jefrey Lijffijt
Tijl De Bie
P1
Conference
2020
Interactive visual data exploration with subjective feedback : an information-theoretic approach
Kai Puolamäki
Emilia Oikarinen
Bo Kang
Jefrey Lijffijt
Tijl De Bie
A1
Journal Article
in
DATA MINING AND KNOWLEDGE DISCOVERY
2020
Mining explainable local and global subgraph patterns with surprising densities
Junning Deng
Bo Kang
Jefrey Lijffijt
Tijl De Bie
A1
Journal Article
in
DATA MINING AND KNOWLEDGE DISCOVERY
2020
2019
Conditional network embeddings
Bo Kang
Jefrey Lijffijt
Tijl De Bie
C1
Conference
2019
ExplaiNE : an approach for Explaining Network Embedding-based link predictions
Bo Kang
Jefrey Lijffijt
Tijl De Bie
Report
2019
Explainable subgraphs with surprising densities : a subgroup discovery approach
Junning Deng
Bo Kang
Jefrey Lijffijt
Tijl De Bie
C1
Conference
2019
Learning subjectively interesting data representations
Bo Kang
Tijl De Bie
Jefrey Lijffijt
Dissertation
2019
SIMIT : subjectively interesting motifs in time series
Junning Deng
Jefrey Lijffijt
Bo Kang
Tijl De Bie
A1
Journal Article
in
ENTROPY
2019
2018
CLIPPR: Maximally Informative CLIPped PRojections with Bounding Regions
Bo Kang
Dylan Cashman
Remco Chang
Jefrey Lijffijt
Tijl De Bie
C3
Conference
2018
Conditional network embeddings
Bo Kang
Jefrey Lijffijt
Tijl De Bie
Report
2018
Interactive visual data exploration with subjective feedback : an information-theoretic approach
Kai Puolamäki
Emilia Oikarinen
Bo Kang
Jefrey Lijffijt
Tijl De Bie
P1
Conference
2018
SICA : subjectively interesting component analysis
Bo Kang
Jefrey Lijffijt
Raúl Santos-Rodríguez
Tijl De Bie
A1
Journal Article
in
DATA MINING AND KNOWLEDGE DISCOVERY
2018
Subjectively interesting motifs in time series
Junning Deng
Jefrey Lijffijt
Bo Kang
Tijl De Bie
C1
Conference
2018
Subjectively interesting subgroup discovery on real-valued targets
Jefrey Lijffijt
Bo Kang
Wouter Duivesteijn
Kai Puolamäki
Emilia Oikarinen
Tijl De Bie
P1
Conference
2018
2017
Clipped projections for more informative visualizations [a work-in-progress report]
Bo Kang
Junning Deng
Jefrey Lijffijt
Tijl De Bie
C1
Conference
2017
Interactive visual data exploration with subjective feedback : an information-theoretic approach
Kai Puolamäki
Emilia Oikarinen
Bo Kang
Jefrey Lijffijt
Tijl De Bie
Preprint
2017
Subjectively Interesting Subgroup Discovery on Real-valued Targets
Jefrey Lijffijt
Bo Kang
Wouter Duivesteijn
Kai Puolamäki
Emilia Oikarinen
Tijl De Bie
Report
2017
2016
A tool for subjective and interactive visual data exploration
Bo Kang
Kai Puolamäki
Jefrey Lijffijt
Tijl De Bie
P1
Conference
2016
Informative data projections : a framework and two examples
Tijl De Bie
Jefrey Lijffijt
Raul Santos-Rodriguez
Bo Kang
C1
Conference
2016
Interactive visual data exploration with subjective feedback
Kai Puolamäki
Bo Kang
Jefrey Lijffijt
Tijl De Bie
C1
Conference
2016
P-N-RMiner : a generic framework for mining interesting structured relational patterns
Jefrey Lijffijt
Eirini Spyropoulou
Bo Kang
Tijl De Bie
A2
Journal Article
in
INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS
2016
SIDE : a web app for interactive visual data exploration with subjective feedback
Jefrey Lijffijt
Bo Kang
Kai Puolamäki
Tijl De Bie
C1
Conference
2016
Subjectively interesting component analysis : data projections that contrast with prior expectations
Bo Kang
Jefrey Lijffijt
Raúl Santos-Rodríguez
Tijl De Bie
P1
Conference
2016
2015
Creedo : scalable and repeatable extrinsic evaluation for pattern discovery systems by online user studies
Mario Boley
Maike Krause-Traudes
Bo Kang
Björn Jacobs
C1
Conference
2015
Informative data projections : a framework and two examples
Tijl De Bie
Jefrey Lijffijt
Raul Santos-Rodriguez
Bo Kang
Report
2015
P-N-RMiner : a generic framework for mining interesting structured relational patterns
Jefrey Lijffijt
Eirini Spyropoulou
Bo Kang
Tijl De Bie
P1
Conference
2015
2013
One click mining: interactive local pattern discovery through implicit preference and performance learning
Mario Boley
Michael Mampaey
Bo Kang
Pavel Tokmakov
Stefan Wrobel
C1
Conference
2013