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09/12/2023
Measuring Catastrophic Forgetting in Cross-Lingual Transfer Paradigms: Exploring Tuning Strategies
The cross-lingual transfer is a promising technique to solve tasks in le...
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09/04/2023
Drifter: Efficient Online Feature Monitoring for Improved Data Integrity in Large-Scale Recommendation Systems
Real-world production systems often grapple with maintaining data qualit...
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09/04/2023
OutRank: Speeding up AutoML-based Model Search for Large Sparse Data sets with Cardinality-aware Feature Ranking
The design of modern recommender systems relies on understanding which p...
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02/08/2023
DDeMON: Ontology-based function prediction by Deep Learning from Dynamic Multiplex Networks
Biological systems can be studied at multiple levels of information, inc...
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09/29/2022
Dynamic Surrogate Switching: Sample-Efficient Search for Factorization Machine Configurations in Online Recommendations
Hyperparameter optimization is the process of identifying the appropriat...
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08/15/2022
Retrieval-efficiency trade-off of Unsupervised Keyword Extraction
Efficiently identifying keyphrases that represent a given document is a ...
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02/14/2022
Out of Thin Air: Is Zero-Shot Cross-Lingual Keyword Detection Better Than Unsupervised?
Keyword extraction is the task of retrieving words that are essential to...
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11/25/2021
Unsupervised Feature Ranking via Attribute Networks
The need for learning from unlabeled data is increasing in contemporary ...
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11/23/2021
Link Analysis meets Ontologies: Are Embeddings the Answer?
The increasing amounts of semantic resources offer valuable storage of h...
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10/20/2021
Knowledge Graph informed Fake News Classification via Heterogeneous Representation Ensembles
Increasing amounts of freely available data both in textual and relation...
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10/17/2021
Prioritization of COVID-19-related literature via unsupervised keyphrase extraction and document representation learning
The COVID-19 pandemic triggered a wave of novel scientific literature th...
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10/14/2021
Compressibility of Distributed Document Representations
Contemporary natural language processing (NLP) revolves around learning ...
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06/29/2021
Semantic Reasoning from Model-Agnostic Explanations
With the wide adoption of black-box models, instance-based post hoc expl...
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03/31/2021
Transfer Learning for Node Regression Applied to Spreading Prediction
Understanding how information propagates in real-life complex networks y...
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01/31/2021
Extending Neural Keyword Extraction with TF-IDF tagset matching
Keyword extraction is the task of identifying words (or multi-word expre...
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01/23/2021
ReliefE: Feature Ranking in High-dimensional Spaces via Manifold Embeddings
Feature ranking has been widely adopted in machine learning applications...
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01/11/2021
Identification of COVID-19 related Fake News via Neural Stacking
Identification of Fake News plays a prominent role in the ongoing pandem...
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12/16/2020
Predicting Generalization in Deep Learning via Metric Learning – PGDL Shared task
The competition "Predicting Generalization in Deep Learning (PGDL)" aims...
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11/23/2020
Ensemble- and Distance-Based Feature Ranking for Unsupervised Learning
In this work, we propose two novel (groups of) methods for unsupervised ...
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09/08/2020
SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations
Learning from real-life complex networks is a lively research area, with...
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08/05/2020
Fuzzy Jaccard Index: A robust comparison of ordered lists
We propose Fuzzy Jaccard Index (FUJI) – a scale-invariant score for asse...
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07/30/2020
COVID-19 therapy target discovery with context-aware literature mining
The abundance of literature related to the widespread COVID-19 pandemic ...
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07/10/2020
To BAN or not to BAN: Bayesian Attention Networks for Reliable Hate Speech Detection
Hate speech is an important problem in the management of user-generated ...
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06/08/2020
Propositionalization and Embeddings: Two Sides of the Same Coin
Data preprocessing is an important component of machine learning pipelin...
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05/12/2020
AttViz: Online exploration of self-attention for transparent neural language modeling
Neural language models are becoming the prevailing methodology for the t...
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04/02/2020
Layer entanglement in multiplex, temporal multiplex, and coupled multilayer networks
Complex networks, such as transportation networks, social networks, or b...
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03/20/2020
TNT-KID: Transformer-based Neural Tagger for Keyword Identification
With growing amounts of available textual data, development of algorithm...
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02/11/2020
Feature Importance Estimation with Self-Attention Networks
Black-box neural network models are widely used in industry and science,...
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10/29/2019
Symbolic Graph Embedding using Frequent Pattern Mining
Relational data mining is becoming ubiquitous in many fields of study. I...
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09/16/2019
Prediction Uncertainty Estimation for Hate Speech Classification
As a result of social network popularity, in recent years, hate speech p...
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07/16/2019
Language comparison via network topology
Modeling relations between languages can offer understanding of language...
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07/15/2019
RaKUn: Rank-based Keyword extraction via Unsupervised learning and Meta vertex aggregation
Keyword extraction is used for summarizing the content of a document and...
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02/11/2019
Deep Node Ranking: an Algorithm for Structural Network Embedding and End-to-End Classification
Complex networks are used as an abstraction for systems modeling in phys...
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02/01/2019