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Machine Learning and Knowledge Extraction

中文名称：机器学习与知识提取

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1.TabFairGAN: Fair Tabular Data Generation with Generative Adversarial Networks
- 作者：Rajabi Amirarsalan;Garibay Ozlem Ozmen
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第2期
- fairness in artificial intelligence;
- generative adversarial networks;
- fair data generation;
- BIAS;
2.Estimating the Best Time to View Cherry Blossoms Using Time-Series Forecasting Method
- 作者：Horikawa Tomonari;Takahashi Munenori;Endo MasakiOhno ShigeyoshiHirota MasaharuIshikawa Hiroshi
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第2期
- cherry blossom;
- machine learning;
- mining;
- sightseeing;
- SNS;
3.Benefits from Variational Regularization in Language Models
- 作者：Ferner Cornelia;Wegenkittl Stefan
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第2期
- language models;
- regularization;
- isotropy;
- generalizability;
- semantic reasoning;
4.VloGraph: A Virtual Knowledge Graph Framework for Distributed Security Log Analysis
- 作者：Kurniawan Kabul;Ekelhart Andreas;Kiesling ElmarWinkler DietmarQuirchmayr GeraldTjoa A. Min
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第2期
- semantic log analysis;
- virtual log graphs;
- dynamic log extraction;
- decentralized logquerying;
- forensics;
- DESIGN;
5.Knowledgebra: An Algebraic Learning Framework for Knowledge Graph
- 作者：Yang Tong;Wang Yifei;Sha LongEngelbrecht JanHong Pengyu
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第2期
- algebraic learning;
- knowledge graph;
- category;
- semigroup;
- logic reasoning;
- neural-symbolic integration;
6.Counterfactual Models for Fair and Adequate Explanations
- 作者：Asher Nicholas;De Lara Lucas;Paul SoumyaRussell Chris
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第2期
- explainability;
- counterfactual models;
- transport theories;
- 1ST-ORDER LOGICS;
- COMPLEXITY;
7.Fairness and Explanation in AI-Informed Decision Making
- 作者：Angerschmid Alessa;Zhou Jianlong;Theuermann KevinChen FangHolzinger Andreas
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第2期
- AI explanation;
- AI fairness;
- trust;
- perception of fairness;
- AI ethics;
- ARTIFICIAL-INTELLIGENCE;
- TRUST;
- TRANSPARENCY;
8.Machine Learning in Disaster Management: Recent Developments in Methods and Applications
- 作者：Linardos Vasileios;Drakaki Maria;Tzionas PanagiotisKarnavas Yannis L.
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第2期
- disaster management;
- machine learning;
- deep learning;
- natural disasters;
- applications in disaster management;
- LANDSLIDE SUSCEPTIBILITY;
- NEURAL-NETWORKS;
- SYSTEM;
- AREA;
9.An Attention-Based ConvLSTM Autoencoder with Dynamic Thresholding for Unsupervised Anomaly Detection in Multivariate Time Series
- 作者：Tayeh Tareq;Aburakhia Sulaiman;Myers RyanShami Abdallah
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第2期
- anomaly detection;
- deep learning;
- unsupervised learning;
- Industrial Internet of Things;
- time series;
- NEURAL-NETWORK;
- SMART;
- SYSTEM;
- COSTS;
10.Machine and Deep Learning Applications to Mouse Dynamics for Continuous User Authentication
- 作者：Siddiqui Nyle;Dave Rushit;Vanamala MounikaSeliya Naeem
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第2期
- deep learning;
- machine learning;
- mouse dynamics;
- continuous user authentication;
- multi-class classification;
- RECOGNITION;
11.Missing Data Estimation in Temporal Multilayer Position-Aware Graph Neural Network (TMP-GNN)
- 作者：Najafi Bahareh;Parsaeefard Saeedeh;Leon-Garcia Alberto
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第2期
12.A New Rough Set Classifier for Numerical Data Based on Reflexive and Antisymmetric Relations
- 作者：Ishii Yoshie;Iwao Koki;Kinoshita Tsuguki
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第4期
- antisymmetric;
- classification;
- lower approximation;
- neighborhood;
- numerical data;
- half-space;
- reflexive;
- rough set theory;
- UCI dataset;
- upper approximation;
- ATTRIBUTE REDUCTION;
- MODEL;
13.Certifiable Unlearning Pipelines for Logistic Regression: An Experimental Study
- 作者：Mahadevan Ananth;Mathioudakis Michael
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第3期
- machine unlearning;
- pipelines;
- logistic regression;
14.Data Mining Algorithms for Operating Pressure Forecasting of Crude Oil Distribution Pipelines to Identify Potential Blockages
- 作者：Santoso Agus;Wijaya Fransisco Danang;Setiawan Noor AkhmadWaluyo Joko
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第3期
- data mining;
- pressure;
- forecasting;
- pipeline;
- crude oil;
- LSTM;
- NARX;
- WAX DEPOSITION;
- PREDICTION;
- MODEL;
15.Live Fish Species Classification in Underwater Images by Using Convolutional Neural Networks Based on Incremental Learning with Knowledge Distillation Loss
- 作者：Ben Tamou Abdelouahid;Benzinou Abdesslam;Nasreddine Kamal
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第3期
- underwater image;
- fish recognition;
- deep learning;
- convolutional neural network;
- incremental learning;
- knowledge distillation loss;
- RECOGNITION;
16.Lottery Ticket Structured Node Pruning for Tabular Datasets
- 作者：Bluteau Ryan;Gras Robin;Innes ZacharyPaulin Mitchel
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第4期
- lottery ticket hypothesis;
- pruning;
- tabular;
17.Real Quadratic-Form-Based Graph Pooling for Graph Neural Networks
- 作者：Liu Youfa;Chen Guo
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第3期
- graph neural networks;
- graph pooling;
- quadratic form;
18.Actionable Explainable AI (AxAI): A Practical Example with Aggregation Functions for Adaptive Classification and Textual Explanations for Interpretable Machine Learning
- 作者：Saranti Anna;Hudec Miroslav;Minarikova ErikaTakac ZdenkoGrossschedl UdoKoch ChristophPfeifer BastianAngerschmid AlessaHolzinger Andreas
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第4期
- actionable explainable AI;
- classification;
- aggregation functions;
- ordinal sums;
- continuous XOR-problem;
- interpretable machine learning;
- FUZZY-SETS;
- SIMILARITY;
19.Entropic Statistics: Concept, Estimation, and Application in Machine Learning and Knowledge Extraction
- 作者：Zhang Jialin
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第4期
20.On the Dimensionality and Utility of Convolutional Autoencoder's Latent Space Trained with Topology-Preserving Spectral EEG Head-Maps
- 作者：Chikkankod Arjun Vinayak;Longo Luca
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第4期
21.Semantic Interactive Learning for Text Classification: A Constructive Approach for Contextual Interactions
- 作者：Kiefer Sebastian;Hoffmann Mareike;Schmid Ute
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第4期
22.Ontology Completion with Graph-Based Machine Learning: A Comprehensive Evaluation
- 作者：Meznar Sebastian;Bevec Matej;Lavrac NadaSkrlj Blaz
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第4期
- machine learning;
- embedding;
- ontology completion;
- link prediction;
- explainability;
- LINK-PREDICTION;
- GENE ONTOLOGY;
- NETWORKS;
23.On the Application of Artificial Neural Network for Classification of Incipient Faults in Dissolved Gas Analysis of Power Transformers
- 作者：Thango Bonginkosi A.
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第4期
- transformer;
- dissolved gas analysis (DGA);
- multi-layer artificial neural network (MLANN);
- IEC 60599;
- 2022 gas ratio method;
- DGA;
24.Automatic Extraction of Medication Information from Cylindrically Distorted Pill Bottle Labels
- 作者：Gromova Kseniia;Elangovan Vinayak
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第4期
25.An Explainable Deep Learning Framework for Detecting and Localising Smoke and Fire Incidents: Evaluation of Grad-CAM plus plus and LIME
- 作者：Apostolopoulos Ioannis D.;Athanasoula Ifigeneia;Tzani MpesiGroumpos Peter P.
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第4期
26.Prospective Neural Network Model for Seismic Precursory Signal Detection in Geomagnetic Field Records
- 作者：Petrescu Laura;Moldovan Iren-Adelina
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第4期
- earthquake forecast;
- geomagnetic anomalies;
- neural networks;
- ELECTROMAGNETIC EMISSIONS;
- EARTHQUAKE;
- SURFACE;
- FLOW;
27.SGD-Based Cascade Scheme for Higher Degrees Wiener Polynomial Approximation of Large Biomedical Datasets
- 作者：Izonin Ivan;Tkachenko Roman;Holoven RostyslavYemets KyryloHavryliuk MyroslavShandilya Shishir Kumar
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第4期
- ensemble learning;
- biomedical engineering;
- approximation;
- Wiener polynomial;
- SGD;
- fast machine learning;
- cascade ensemble;
28.Input/Output Variables Selection in Data Envelopment Analysis: A Shannon Entropy Approach
- 作者：Peykani Pejman;Esmaeili Fatemeh Sadat Seyed;Mirmozaffari MirpouyaJabbarzadeh ArminKhamechian Mohammad
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第3期
29.Investigating Machine Learning Applications in the Prediction of Occupational Injuries in South African National Parks
- 作者：Chadyiwa Martha;Kagura Juliana;Stewart Aimee
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第3期
- machine learning;
- prediction;
- occupational injuries;
- national parks;
30.Deep Leaning Based Frequency-Aware Single Image Deraining by Extracting Knowledge from Rain and Background
- 作者：He Yuhong;Zeng Tao;Xiong YeLi JialuWei Haoran
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第3期
31.Do We Need a Specific Corpus and Multiple High-Performance GPUs for Training the BERT Model? An Experiment on COVID-19 Dataset
- 作者：Nuntachit Nontakan;Sugunnasil Prompong
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第3期
- COVID-19;
- CORD-19;
- LitCovid;
- BERT;
- zero-shot learning;
- classification;
- unsupervised machine learning;
- deep-learning;
- BART;
- RoBERTa;
- SciBERT;
- Natural Language Processing;
32.Improving Deep Learning for Maritime Remote Sensing through Data Augmentation and Latent Space
- 作者：Sobien Daniel;Higgins Erik;Krometis JustinKauffman JustinFreeman Laura
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第3期
- data augmentation;
- dimensionality reduction;
- latent space;
- UMAP;
- simulated data;
- deep neural network;
- synthetic aperture radar;
33.A Morphological Post-Processing Approach for Overlapped Segmentation of Bacterial Cell Images
- 作者：Abeyrathna Dilanga;Rauniyar Shailabh;Sani Rajesh K. K.Huang Pei-Chi
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第4期
34.VLA-SMILES: Variable-Length-Array SMILES Descriptors in Neural Network-Based QSAR Modeling
- 作者：Nazarova Antonina L.;Nakano Aiichiro
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第3期
- machine learning;
- deep learning;
- neural networks;
- SMILES;
- descriptors;
- QSAR;
- DRUG DISCOVERY;
- RATIONAL SELECTION;
- TEST SETS;
- PREDICTION;
- BEWARE;
- CHEMBL;
35.Evidence-Based Regularization for Neural Networks
- 作者：Nuti Giuseppe;Cross Andreea-Ingrid;Rindler Philipp
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第4期
- neural networks;
- regularization;
- deep networks;
36.How Do Deep-Learning Framework Versions Affect the Reproducibility of Neural Network Models?
- 作者：Shahriari Mostafa;Ramler Rudolf;Fischer Lukas
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第4期
- machine learning;
- deep learning;
- deep neural networks;
- reproducibility;
- tensorflow;
- pytorch;
37.FeaSel-Net: A Recursive Feature Selection Callback in Neural Networks
- 作者：Fischer Felix;Birk Alexander;Somers PeterFrenner KarstenTarin CristinaHerkommer Alois
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第4期
38.Artificial Intelligence Methods for Identifying and Localizing Abnormal Parathyroid Glands: A Review Study
- 作者：Apostolopoulos Ioannis D.;Papandrianos Nikolaos I.;Papageorgiou Elpiniki I.Apostolopoulos Dimitris J.
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第4期
39.Factorizable Joint Shift in Multinomial Classification
- 作者：Tasche Dirk
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第3期
- dataset shift;
- factorizable joint shift;
- multinomial classification;
- covariate shift;
- prior probability shift;
- sample selection bias;
40.Semantic Image Segmentation Using Scant Pixel Annotations
- 作者：Chakravarthy Adithi D.;Abeyrathna Dilanga;Subramaniam MahadevanChundi ParvathiGadhamshetty Venkataramana
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第3期
- image processing;
- image segmentation;
- machine vision;
- neural networks;
- semi-supervised learning;
- ALGORITHM;
41.Comparison of Imputation Methods for Missing Rate of Perceived Exertion Data in Rugby
- 作者：Epp-Stobbe Amarah;Tsai Ming-Chang;Klimstra Marc
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第4期
- sports;
- football;
- athletic performance;
- statistical models;
- machine learning;
- TRAINING LOAD;
- SELECTION;
- TACKLE;
- GPS;
42.Explainable Machine Learning Reveals Capabilities, Redundancy, and Limitations of a Geospatial Air Quality Benchmark Dataset
- 作者：Stadtler Scarlet;Betancourt Clara;Roscher Ribana
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第1期
- explainable machine learning;
- air quality;
- k-nearest neighbors;
- neural network;
- random forest;
- NEURAL-NETWORK;
- POLLUTION;
- SCIENCE;
43.Machine Learning Based Restaurant Sales Forecasting
- 作者：Schmidt Austin;Ul Kabir Md Wasi;Hoque Md Tamjidul
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第1期
- recurrent neural networks;
- transformers;
- TFT;
- LSTM;
- GRU;
- forecasting;
- restaurant sales prediction;
- time series analysis;
- multi-horizon forecasting;
- RIDGE REGRESSION;
- REGULARIZATION;
- SELECTION;
44.Robust Reinforcement Learning: A Review of Foundations and Recent Advances
- 作者：Moos Janosch;Hansel Kay;Abdulsamad HanyStark SvenjaClever DeboraPeters Jan
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第1期
- reinforcement learning;
- robustness;
- min-max optimization;
- MARKOV DECISION-PROCESSES;
- STOCHASTIC UNCERTAIN SYSTEMS;
- H-INFINITY CONTROL;
- GAME;
- FEEDBACK;
- ENTROPY;
- SENSITIVITY;
- TIME;
- OPTIMIZATION;
- HISTORY;
45.An Analysis of Cholesteric Spherical Reflector Identifiers for Object Authenticity Verification
- 作者：Arenas Monica P.;Demirci Huseyin;Lenzini Gabriele
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第1期
- object verification;
- similarity scores;
- data analysis;
- Cholesteric Spherical Reflectors;
46.Hierarchical Reinforcement Learning: A Survey and Open Research Challenges
- 作者：Hutsebaut-Buysse Matthias;Mets Kevin;Latre Steven
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第1期
- hierarchical reinforcement learning;
- deep reinforcement learning;
- reinforcement learning;
- DEEP NEURAL-NETWORKS;
- LEVEL;
- ABSTRACTION;
- FRAMEWORK;
- OPTIONS;
47.A Survey of Near-Data Processing Architectures for Neural Networks
- 作者：Hassanpour Mehdi;Riera Marc;Gonzalez Antonio
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第1期
48.NER in Archival Finding Aids: Extended
- 作者：da Costa Cunha Luis Filipe;Ramalho Jose Carlos
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第1期
- named entity recognition;
- archival search aids;
- machine learning;
- deep learning;
- maximum entropy;
49.A Novel Framework for Fast Feature Selection Based on Multi-Stage Correlation Measures
- 作者：Garcia-Ramirez Ivan-Alejandro;Calderon-Mora Arturo;Mendez-Vazquez AndresOrtega-Cisneros SusanaReyes-Amezcua Ivan
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2022年第1期
- machine learning;
- feature selection;
- python framework;
- MACHINE LEARNING APPLICATIONS;
- DIMENSIONALITY REDUCTION;
- MUTUAL INFORMATION;
- RELEVANCE;

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