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09/18/2023
LLM4Jobs: Unsupervised occupation extraction and standardization leveraging Large Language Models
Automated occupation extraction and standardization from free-text job p...
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08/18/2023
ReCon: Reducing Congestion in Job Recommendation using Optimal Transport
Recommender systems may suffer from congestion, meaning that there is an...
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04/17/2023
SkillGPT: a RESTful API service for skill extraction and standardization using a Large Language Model
We present SkillGPT, a tool for skill extraction and standardization (SE...
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02/07/2023
Revised Conditional t-SNE: Looking Beyond the Nearest Neighbors
Conditional t-SNE (ct-SNE) is a recent extension to t-SNE that allows re...
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09/12/2022
A challenge-based survey of e-recruitment recommendation systems
E-recruitment recommendation systems recommend jobs to job seekers and j...
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08/03/2022
Audio-visual scene classification via contrastive event-object alignment and semantic-based fusion
Previous works on scene classification are mainly based on audio or visu...
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05/01/2022
Relation-guided acoustic scene classification aided with event embeddings
In real life, acoustic scenes and audio events are naturally correlated....
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03/22/2022
CT-SAT: Contextual Transformer for Sequential Audio Tagging
Sequential audio event tagging can provide not only the type information...
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03/14/2022
Graph-Survival: A Survival Analysis Framework for Machine Learning on Temporal Networks
Continuous time temporal networks are attracting increasing attention du...
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11/04/2021
ExClus: Explainable Clustering on Low-dimensional Data Representations
Dimensionality reduction and clustering techniques are frequently used t...
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10/18/2021
Topologically Regularized Data Embeddings
Unsupervised feature learning often finds low-dimensional embeddings tha...
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09/22/2021
The Curse Revisited: a Newly Quantified Concept of Meaningful Distances for Learning from High-Dimensional Noisy Data
Distances between data points are widely used in point cloud representat...
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07/05/2021
Adversarial Robustness of Probabilistic Network Embedding for Link Prediction
In today's networked society, many real-world problems can be formalized...
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02/24/2020
FONDUE: A Framework for Node Disambiguation Using Network Embeddings
Real-world data often presents itself in the form of a network. Examples...
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02/04/2020
ALPINE: Active Link Prediction using Network Embedding
Many real-world problems can be formalized as predicting links in a part...
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05/24/2019
Conditional t-SNE: Complementary t-SNE embeddings through factoring out prior information
Dimensionality reduction and manifold learning methods such as t-Distrib...
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04/22/2019
ExplaiNE: An Approach for Explaining Network Embedding-based Link Predictions
Networks are powerful data structures, but are challenging to work with ...
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05/19/2018
Conditional Network Embeddings
Network embeddings map the nodes of a given network into d-dimensional E...
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10/23/2017
Interactive Visual Data Exploration with Subjective Feedback: An Information-Theoretic Approach
Visual exploration of high-dimensional real-valued datasets is a fundame...
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10/12/2017