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03/29/2023
Local Interpretability of Random Forests for Multi-Target Regression
Multi-target regression is useful in a plethora of applications. Althoug...
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02/25/2023
Does Noise Affect Housing Prices? A Case Study in the Urban Area of Thessaloniki
Real estate markets depend on various methods to predict housing prices,...
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01/23/2023
Large-scale fine-grained semantic indexing of biomedical literature based on weakly-supervised deep learning
Semantic indexing of biomedical literature is usually done at the level ...
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12/07/2022
Truthful Meta-Explanations for Local Interpretability of Machine Learning Models
Automated Machine Learning-based systems' integration into a wide range ...
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12/01/2022
Fine-Grained Selective Similarity Integration for Drug-Target Interaction Prediction
The discovery of drug-target interactions (DTIs) is a pivotal process in...
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09/22/2022
Improving Attention-Based Interpretability of Text Classification Transformers
Transformers are widely used in NLP, where they consistently achieve sta...
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07/05/2022
Local Multi-Label Explanations for Random Forest
Multi-label classification is a challenging task, particularly in domain...
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06/09/2022
Topic-Aware Evaluation and Transformer Methods for Topic-Controllable Summarization
Topic-controllable summarization is an emerging research area with a wid...
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04/29/2022
Local Explanation of Dimensionality Reduction
Dimensionality reduction (DR) is a popular method for preparing and anal...
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01/24/2022
Multiple Similarity Drug-Target Interaction Prediction with Random Walks and Matrix Factorization
The discovery of drug-target interactions (DTIs) is a very promising are...
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10/09/2021
Bayesian Active Summarization
Bayesian Active Learning has had significant impact to various NLP probl...
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07/08/2021
Short-term Renewable Energy Forecasting in Greece using Prophet Decomposition and Tree-based Ensembles
Energy production using renewable sources exhibits inherent uncertaintie...
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06/01/2021
Harvesting the Public MeSH Note field
In this document, we report an analysis of the Public MeSH Note field of...
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05/21/2021
Uncertainty-Aware Abstractive Summarization
We propose a novel approach to summarization based on Bayesian deep lear...
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05/12/2021
Self-citation Analysis using Sentence Embeddings
The purpose of citation indexes and metrics is intended to be a measure ...
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05/01/2021
Optimizing Area Under the Curve Measures via Matrix Factorization for Drug-Target Interaction Prediction
In drug discovery, identifying drug-target interactions (DTIs) via exper...
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04/13/2021
LioNets: A Neural-Specific Local Interpretation Technique Exploiting Penultimate Layer Information
Artificial Intelligence (AI) has a tremendous impact on the unexpected g...
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04/13/2021
Conclusive Local Interpretation Rules for Random Forests
In critical situations involving discrimination, gender inequality, econ...
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03/31/2021
VisioRed: A Visualisation Tool for Interpretable Predictive Maintenance
The use of machine learning rapidly increases in high-risk scenarios whe...
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03/06/2021
Improving Zero-Shot Entity Retrieval through Effective Dense Representations
Entity Linking (EL) seeks to align entity mentions in text to entries in...
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02/01/2021
Improving Distantly-Supervised Relation Extraction through BERT-based Label Instance Embeddings
Distantly-supervised relation extraction (RE) is an effective method to ...
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01/20/2021
What is all this new MeSH about? Exploring the semantic provenance of new descriptors in the MeSH thesaurus
The Medical Subject Headings (MeSH) thesaurus is a controlled vocabulary...
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12/22/2020
Drug-Target Interaction Prediction via an Ensemble of Weighted Nearest Neighbors with Interaction Recovery
Predicting drug-target interactions (DTI) via reliable computational met...
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11/19/2020
From Protocol to Screening: A Hybrid Learning Approach for Technology-Assisted Systematic Literature Reviews
In the medical domain, a Systematic Literature Review (SLR) attempts to ...
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10/15/2020
Altruist: Argumentative Explanations through Local Interpretations of Predictive Models
Interpretable machine learning is an emerging field providing solutions ...
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08/21/2020
Keywords lie far from the mean of all words in local vector space
Keyword extraction is an important document process that aims at finding...
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06/11/2020
ETHOS: an Online Hate Speech Detection Dataset
Online hate speech is a newborn problem in our modern society which is g...
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05/15/2020
Beyond MeSH: Fine-Grained Semantic Indexing of Biomedical Literature based on Weak Supervision
In this work, we propose a method for the automated refinement of subjec...
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04/13/2020
A Divide-and-Conquer Approach to the Summarization of Academic Articles
We present a novel divide-and-conquer method for the summarization of lo...
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11/20/2019
LionForests: Local Interpretation of Random Forests through Path Selection
Towards a future where machine learning systems will integrate into ever...
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06/15/2019
LioNets: Local Interpretation of Neural Networks through Penultimate Layer Decoding
Technological breakthroughs on smart homes, self-driving cars, health ca...
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05/19/2019
Structured Summarization of Academic Publications
We propose SUSIE, a novel summarization method that can work with state-...
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05/13/2019
A Review of Keyphrase Extraction
Automated keyphrase extraction is a crucial textual information processi...
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05/02/2019
Synthetic Oversampling of Multi-Label Data based on Local Label Distribution
Class-imbalance is an inherent characteristic of multi-label data which ...
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08/10/2018
Unsupervised Keyphrase Extraction Based on Outlier Detection
We propose a novel unsupervised keyphrase extraction approach based on o...
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07/30/2018
Making Classifier Chains Resilient to Class Imbalance
Class imbalance is an intrinsic characteristic of multi-label data. Most...
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11/14/2017
Web Robot Detection in Academic Publishing
Recent industry reports assure the rise of web robots which comprise mor...
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10/20/2017
Local Word Vectors Guiding Keyphrase Extraction
Automated keyphrase extraction is a fundamental textual information proc...
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09/16/2017
Subset Labeled LDA for Large-Scale Multi-Label Classification
Labeled Latent Dirichlet Allocation (LLDA) is an extension of the standa...
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04/18/2017
Large-Scale Online Semantic Indexing of Biomedical Articles via an Ensemble of Multi-Label Classification Models
Background: In this paper we present the approaches and methods employed...
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05/08/2015