Accepted papers

An Extension of Reciprocal Logic for Trust Reasoning: A Case Study in PKI
Sameera Basit and Yuichi Goto

Individual Source Camera Identification with Convolutional Neural Networks
Jarosław Bernacki, Kelton Costa and Rafal Scherer

Chaining Electronic Seals an eIDAS compliant framework for controlling SSCD
Przemysław Błaśkiewicz and Mirosław Kutyłowski

Exploring the effect of vehicle appearance and motion for natural language-based vehicle retrieval
Quang-Huy Can, Hong-Quan Nguyen, Thi-Ngoc-Diep Do, Thi-Hoai Phan, Thuy-Binh Nguyen, Thi Thanh Thuy Pham, Thanh-Hai Tran and Thi-Lan Le

Data-driven Resilient Supply Management Supported by Demand Forecasting
Marek Grzegorowski, Andrzej Janusz, Jarosław Litwin and Łukasz Marcinowski

SDG-Meter : a deep learning based tool for automatic text classification of the Sustainable Development Goals
Jade Eva Guisiano, Raja Chiky and Jonathas De Mello

Domain Generalisation for Glaucoma Detection in Retinal Images from Unseen Fundus Cameras
Hansi Gunasinghe, James McKelvie, Abigail Koay and Michael Mayo

Supervised learning use to acquire knowledge from 2D analytic geometry problems
Anca-Elena Iordan

Speeding Up Recommender Systems Using Association Rule
Eyad Kannout, Hung Son Nguyen and Marek Grzegorowski

Using Brain-Computer Interface and Artificial Intelligence for EEG signal analysis
Michal Kedziora, Katarzyna Bialas, Rafal Chalupnik and Jakub Kurczak

CORDIS Partner Matching Algorithm for Recommender Systems
Dariusz Krol, Zuzanna Zborowska, Paweł Ropa and Łukasz Kincel

Impact of Design Decisions on Performance of Embarrassingly Parallel .NET Database Application
Jan Kwiatkowski, Mariusz Fraś, Piotr Karwaczyński, Marcin Sitko, Sylwia Pietras and Bogdan Marczuk

Embedding Model with Attention over Convolution Kernels and Dynamic Mapping Matrix for Link Prediction
Thanh Le, Nam Le and Bac Le

Mixed Multi-relational Representation Learning for Low-Dimensional Knowledge Graph Embedding
Thanh Le, Chi Tran and Bac Le

Strategy and Feasibility Study for the Construction of High Resolution Images Adversarial against Convolutional Neural Networks
Franck Leprevost, Ali Osman Topal, Elmir Avdusinovic and Raluca Chitic

Symmetric and asymmetric cryptography on the special linear Cracovian quasigroup
Zbigniew Lipiński and Jolanta Mizera-Pietraszko

ECG Signal Classification using Recurrence Plot-Based Approach and Deep Learning for Arrhythmia Prediction
Niken Prasasti Martono, Toru Nishiguchi and Hayato Ohwada

A Novel Neural Network Training Method for Autonomous Driving Using Semi-Pseudo-Labels and 3D Data Augmentations
Tamas Matuszka and Daniel Kozma

Vulnerability Analysis of IoT Devices to Cyberattacks Based on Naïve Bayes Classifier
Jolanta Mizera-Pietraszko and Jolanta Tancula

Using deep learning to detect anomalies in traffic flow
Manuel Méndez, Alfredo Ibias Martínez and Manuel Núñez

Image-based Contextual Pill Recognition with Medical Knowledge Graph Assistance
Anh Duy Nguyen, Thuy Dung Nguyen, Huy Hieu Pham, Thanh Hung Nguyen and Phi Le Nguyen

Meta-learning and Personalization layer in Federated learning
Bao-Long Nguyen, Tat Cuong Cao and Bac Le

A Legal Information Retrieval System for Statute Law
Chau Nguyen, Nguyen-Khang Le, Dieu-Hien Nguyen, Phuong Nguyen and Le-Minh Nguyen

A new 3D face model for Vietnamese based on Basel Face Model
Dang-Ha Nguyen, An Han Tien Khanh, Chau Ma Thi and Hoang-Anh The Nguyen

Exploring Retriever-Reader Approaches in Question-Answering on Scientific Documents
Dieu-Hien Nguyen, Nguyen-Khang Le and Nguyen Le Minh

P-FCloHUS: A Parallel Approach For Mining Frequent Closed High-Utility Sequences On Multi-core Processors
Hong-Phat Nguyen and Bac Le

Parameter Distribution Ensemble Learning for Sudden Concept Drift Detection
Khanh-Tung Nguyen, Trung Tran, Anh-Duc Nguyen, Xuan-Hieu Phan and Quang-Thuy Ha

Learning to map the GDPR to Logic Representation on DAPRECO-KB
Phuong Nguyen, Thi-Thu-Trang Nguyen, Vu Tran, Ha-Thanh Nguyen, Le-Minh Nguyen and Ken Satoh

v3MFND: A Deep Multi-domain Multimodal Fake News Detection Model for Vietnamese
Cam-Van Nguyen Thi, Thanh-Toan Vuong, Quang-Thuy Ha and Duc-Trong Le

Fine-Tuning OCR Error Detection and Correction in Polish Corpus of Scientific Abstracts
Maciej Ogrodniczuk

Social multi-role discovering with hypergraph embedding for Location-based Social Networks
Minh Tam Pham, Thanh Dat Hoang, Minh Hieu Nguyen, Viet Hung Vu, Thanh Trung Huynh and Quyet Thang Huynh

Tracking Student Attendance in Virtual Classes Based on MTCNN and FaceNet
Trong-Nghia Pham, Nam-Phong Nguyen, Nguyen-Minh-Quan Dinh and Thanh Le

En-SeqGAN: An Efficient Sequence Generation Model for Deceiving URL Classifiers
Tuan Dung Pham, Thi Thanh Thuy Pham and Viet Cuong Ta

Neural Inverse Text Normalization with Numerical Recognition for Low Resource Scenarios
Tuan Anh Phan, Ngoc Dung Nguyen, Huonng Le Thanh and Khac-Hoai Nam Bui

A Research for Segmentation of Brain Tumors Based on GAN Model
Linh Phung Khanh, Sinh Nguyen Van, Tan Le Duy and Marcin Maleszka

An Efficient Multi-view Facial Expression Classifier Implementing on Edge Device
Muhamad Dwisnanto Putro, Duy-Linh Nguyen, Adri Priadana and Kang-Hyun Jo

Keyword Extraction from Short Texts with a Text-To-Text Transfer Transformer
Piotr Pęzik, Agnieszka Mikołajczyk, Adam Wawrzyński, Bartłomiej Nitoń and Maciej Ogrodniczuk

FASENet: A Two-Stream Fall Detection and Activity Monitoring Model using Pose Keypoints and Squeeze-and-Excitation Networks
Jessie James Suarez, Nathaniel Orillaza and Prospero Naval

The Combination of Background Subtraction and Convolutional Neural Network for Product Recognition
Tin Thai, Synh Ha, Thong Nguyen, Huy Le, Nhat Chung, Quang Nguyen and Vuong Nguyen

AntiPhiMBS-TRN: A New Anti-Phishing Model to Mitigate Phishing Attacks in Mobile Banking System at Transaction Level
Tej Narayan Thakur and Noriaki Yoshiura

Semantic Relationship-based Image Retrieval using KD-Tree Structure
Le Manh Thanh, Nguyen Thi Dinh and Van The Thanh

Semantic-based Image Retrieval using RS-Tree and Knowledge Graph
Lê Mạnh Thạnh, Lê Thị Vĩnh Thanh and Văn Thế Thành

Hybrid Boustrophedon and Partition Tree Group Algorithm for Coverage Path Planning Problem with Energy Constraints
Cam Giang Tran Thi and Thi Thanh Binh Huynh

Predictive modelling of diseases based on a network and machine learning approach
Quang Tuan Truong and Bac Le

Graph Classification via Graph Structure Learning
Huynh Tu, Tuyen Thanh Thi Ho and Bac Le

Auto Machine Learning-Based Approach for Source Printer Identification
Qui Vo, Nhan Dang, Phu Nguyen, An Mai, Loan Nguyen, Quoc-Thông Nguyen and Thanh Nguyen

EfficientRec: An unlimited user-item scale recommendation system based on clustering and user’s interaction embedding profile
Hong Quan Vu, Ngoc Linh Nguyen Tran, Hoang Ngan Le, Minh Duc Le and Hoang Quynh Le

Multi-pass, non-recursive acoustic echo cancellation sequential and parallel algorithms
Maciej Walczyński

Agent Based Model of Elementary School Group Learning
Barbara Wedrychowicz, Marcin Maleszka and Nguyen Van Sinh

Clinically-relevant summarisation of cataract surgery videos using deep learning
Jesse Whitten, James McKelvie and Michael Mayo

Multimodal Approach to Measuring Cognitive Load Using Sternberg Memory and Input Diagrammatic Reasoning Tests
Patient Zihisire Muke, Zbigniew Telec and Bogdan Trawinski

Machine Learning Methods for BIM Data
Grażyna Ślusarczyk and Barbara Strug

Automatic Counting of People Entering and Leaving Based on Dominant Colors and People Silhouettes
Kazimierz Choroś

Explaining Predictive Scheduling in Cloud
Muhammad Fahimullah, Rohit Gupta, Shohreh Ahvar and Maria Trocan

BRDF Anisotropy Criterion
Michal Haindl and Vojtech Havlicek

ETop3PPE: Epoch’s Top-Three Prediction Probability Ensemble Method for Deep Learning Classification Models
Musaev Javokhir, Abdulaziz Anorboev, Huyen Trang Phan, Ngoc Thanh Nguyen and Dosam Hwang

Music industry trend forecasting based on MusicBrainz metadata
Marek Kopel and Damian Kreisich

Intelligent Audio Signal Processing − Do We Still Need Annotated Datasets?
Bozena Kostek

User-Generated Content (UGC)/In-The-Wild Video Content Recognition
Mikołaj Leszczuk, Lucjan Janowski, Jakub Nawała and Michal Grega

Analysis of dynamics of emergence and decline of scientic ideas based on optimistic and pessimistic fuzzy aggregation norms
Aleksandra Mrela, Oleksandr Sokolov, Veslava Osinska and Wlodzislaw Duch

A Deep Convolution Generative Adversarial Network for the Production of Images of Human Faces
Noha Nekamiche, Chahnez Zakaria, Kamel Smaili and Sarra Bouchareb

Multimedia Web application for analyzing and planning scientific collaboration
Veslava Osińska, Konrad Poręba, Grzegorz Osiński and Brett Buttliere

Preliminary Study on Video Codec Optimization Using VMAF
Syed Uddin, Mikołaj Leszczuk and Michal Grega

DeepDream algorithm for data augmentation in a neural network ensemble applied to multiclass image classification
Dmitrii Viatkin, Begonya Garcia-Zapirain and Amaia Mendez

An Empirical Comparison of Steganography and Steganalysis Solutions
Wera Wiecek, Ireneusz Jóźwiak, Piotr Jóźwiak and Michal Kedziora

Relearning ensemble selection based on new generated features
Robert Burduk

Machine Learning-based recommender system for Tweeting Factory in Industry 5.0 paradigm
Dariusz Gąsior, Sławomir Lasota and Tomasz Kajdanowicz

Analyzing the effectiveness of the Gaussian Mixture Model clustering algorithm in Software Enhancement Effort Estimation
Vo Van Hai, Ho Le Thi Kim Nhung, Zdenka Prokopova, Radek Silhavy and Petr Silhavy

Automated late fusion of low level descriptors for feature extraction and texture classification using data augmentation
Mohamed Hazgui, Haythem Ghazouani and Walid Barhoumi

Gated 3D-CNN for Action Recognition
Labina Shrestha, Shikha Dubey, Farrukh Olimov and Moongu Jeon

Textual One-Pass Stream Clustering with Automated Distance Threshold Adaption
Dennis Assenmacher and Heike Trautmann

Using GPUs to Speed Up Genetic-Fuzzy Data Mining with Evaluation on All Large Itemsets
Chun-Hao Chen, Yu-Qi Huang and Tzung-Pei Hong

SimCPSR: Simple Contrastive Learning for Paper Submission Recommendation System
Duc Le, Tram Doan, Son Huynh and Binh Nguyen

Identifying non-intuitive Relationships within Returns Data of a Furniture Online-Shop using Temporal Data Mining
Katherina Meißner, Anthony Boyd Stevenson and Julia Rieck

Efficient Classification with Counterfactual Reasoning and Active Learning
Azhar Mohammed, Dang Nguyen, Bao Duong and Thin Nguyen

Frequent Closed Subgraph Mining: A Multi-thread Approach
Lam Nguyen, Ngoc-Thao Le, Hung Son Nguyen, Phan Minh Tri and Bay Vo

A multi-label classification framework using the covering based decision table
Thanh-Huyen Pham, Van-Tuan Phan, Thi-Ngan Pham, Hồng Vương Thị, Tri Thanh Nguyen and Quang-Thuy Ha

Risk Assessment of Acute Kidney Disease and Chronic Kidney Disease for in-Hospital Patients with Acute Kidney Injury
Ja-Hwung Su, Terry Ting-Yu Chiou, Yi-Wen Liao, Yu-Siou Liao, Chien-Hsin Wu and Wen-Yang Lin

Music Emotion Recognition Based on Term Frequency and Pattern Entropy
Ja-Hwung Su, Yi-Wen Liao and Liang-Yu Chen

Visual Localization Based on Deep Learning - Take Southern Branch of the National Palace Museum for Example
Chia-Hao Tu and Eric Hsueh-Chan Lu

Bartlomiej Pieranski, Arkadiusz Kawa and Wojciech Zdrenka

Machine Learning to Diagnose Neurodegenerative Multiple Sclerosis Disease
Jin Si Lam, Md Rakibul Hasan, Khandaker Asif Ahmed and Md Zakir Hossain

Rough set rules (RSR) predominantly based on cognitive tests can predict Alzheimer’s related dementia
Andrzej W. Przybyszewski, Kamila Bojakowska, Jerzy Pawel Nowacki and Aldona Barbara Drabik

Aggregated performance measures for multi-class classification
Damian Pęszor and Konrad Wojciechowski

Detecting true and declarative facial emotions by changes in nonlinear dynamics of eye movements.
Albert Śledzianowski, Jerzy Nowacki, Andrzej Przybyszewski and Krzysztof Urbanowicz

Investigation of Automatic Part-of-Speech Tagging using CRF, HMM and LSTM on Misspelled and Edited Texts
Farhad Aydinov, Igbal Huseynov, Sofiya Sayadzade and Samir Rustamov

Exploring Word Embedding For Arabic Sentiment Analysis
Sana Gayed, Souheyl Mallat and Mounir Zrigui

A Combination of BERT and Transformer \\ for Vietnamese Spelling Correction
Ngo Hieu, Duong Tran, Tin Huynh and Kiem Hoang

Error Investigation of Pre-trained BERTology Models on Vietnamese Natural Language Inference
Tin Huynh, Huy To, Kiet Nguyen and Ngan Nguyen

XLMRQA: Open-Domain Question Answering on Vietnamese Wikipedia-based Textual Knowledge Source
Kiet Nguyen, Phong Do, Nhat Nguyen, Tin Huynh, Anh Nguyen and Ngan Nguyen

Development of CRF and CTC based end-to-end Kazakh speech recognition system
Dina Oralbekova, Orken Mamyrbayev, Mohamed Othman, Keylan Alimhan, Bagashar Zhumazhanov and Bulbul Nuranbayeva

Development Kazakh-Turkish machine translation on the base of complete set of endings model
Аitan Qamet, Kamila Zhakypbayeva, Aliya Turganbayeva and Ualsher Tukeyev

A practical method for occupational skills detection in Vietnamese job listings
Viet-Trung Tran, Hai-Nam Cao and Tuan-Dung Cao

Detecting Spam Reviews on Vietnamese E-commerce Websites
Co Van Dinh, Son Luu and Anh Gia-Tuan Nguyen

An Empirical experiment on Feature Extractions Based for Speech Emotion Recognition
Binh Van Duong, Chien Nhu Ha, Trung T. Nguyen, Phuc Nguyen and Trong-Hop Do

Portfolio Investments in the Forex Market
Przemysław Juszczuk and Jan Kozak

A comparative study of classification and clustering methods from text of books
Barbara Probierz, Jan Kozak and Anita Hrabia

The problem of detecting boxers in the boxing ring
Piotr Stefański, Jan Kozak and Tomasz Jach

Collaborative Intrusion Detection System for Internet of Things using Distributed Ledger Technology: A Survey on Challenges and Opportunities
Aulia Arif Wardana, Grzegorz Kołaczek and Parman Sukarno

Excess-Mass and Mass-Volume quality measures susceptibility to intrusion detection system's data dimensionality
Arkadiusz Warzyński, Łukasz Falas and Patryk Schauer

Machine learning approach to predict metastasis in lung cancer based on radiomic features
Krzysztof Fujarewicz, Agata Wilk, Damian Borys, Andrea d'Amico, Rafał Suwiński and Andrzej Świerniak

Prediction of lung cancer survival based on multiomic data
Roman Jaksik and Jaroslaw Smieja

Predicting metastasis-free survival using clinical data in non-small cell lung cancer
Emilia Kozłowska, Monika Giglok, Iwona Dębosz-Suwińska, Rafał Suwiński and Andrzej Świerniak

A minimal model of cancer growth, metastasis and treatment
Jaroslaw Smieja, Andrzej Swierniak and Marek Kimmel

Potential of radiomics features for predicting time to metastasis in NSCLC
Agata Wilk, Damian Borys, Krzysztof Fujarewicz, Andrea d'Amico, Rafał Suwiński and Andrzej Świerniak

Layer-wise Optimization of Contextual Neural Networks with Dynamic Field of Aggregation
Adriana Albu, Marcin Jodłowiec, Krzysztof Wolk, Thai-Nghe Nguyen and Adrian Karasiński

Avoiding Time Series Prediction Disbelief with Ensemble Classifiers in Multi-class Problem Spaces
Maciej Huk

Expandable-Convolutional-Block Neural Inference with Spatial-Fused Multi-Resolution Features and Terse Convolution for IoT-based Intelligent Automated Systems
Pei-Ju Li, Lin-Yi Jiang, Ting-Yu Hu, Ding-Chau Wang, Gwo-Jiun Horng, Yu-Chuan Lin, Min-Hsiung Hung and Chao-Chun Chen

ITCareerBot: A Personalized Career Counseling Chatbot
Cuong Nguyen Duy, Dung Dinh Hanh Nguyen, Cuong Pham-Nguyen, Thang Le Dinh and Nam Le Nguyen Hoai

Covariance Controlled Bayesian Rose Trees
Damian Pęszor and Eryka Probierz

Analysis of ciphertext behaviour using the example of the symmetric AES block cipher in ECB, CBC, OFB and CFB modes of operation, using multiple encryption
Zhanna Alimzhanova, Dauren Nazarbayev, Aizada Ayashova and Aktoty Kaliyeva

Common graph representation of different XBRL taxonomies
Artur Basiura, Leszek Kotulski and Dominik Ziebinski

An Ensemble based Deep Learning Framework to Detect and Deceive XSS and SQL Injection Attacks
Waleed Bin Shahid, Baber Aslam, Haider Abbas, Hammad Afzal and Imran Rashid

A Survey of Network Features for Machine Learning Algorithms to Detect Network Attacks
Joveria Rubaab, Hammad Afzal and Waleed Bin Shahid

dMITP-Miner: An Efficient Method for Mining Maximal Inter-transaction Patterns
Thanh-Ngo Nguyen

Towards Communication-efficient Distributed Back-ground Subtraction
Hung Ngoc Phan, Synh Viet-Uyen Ha and Phuong Hoai Ha

A Correct Face Mask Usage Detection Framework by AIoT
Minh Hoang Pham, Sinh Nguyen Van, Tung Le, Huy Tien Nguyen, Tan Duy Le and Bogdan Trawinski

Effective Resource Utilization in Heterogeneous Hadoop environment through a Dynamic inter-cluster and intra-cluster Load Balancing
Emna Hosni, Nader Kolsi, Wided Lejouad Chaari and Khaled Ghedira

Traffic management in Smart City
Madina Mansurova, Baurzhan Belgibaev, Dusmat Zhamangarin and Nurassyl Zholdas

Clustering analysis applied to NDVI maps to delimit management zones for grain crops
Aliya Nugumanova, Almasbek Maulit and Maxim Sutula

Pre-processing of CT images of the lungs
Talshyn Sarsembayeva, Madina Mansurova, Adai Shomanov, Magzhan Sarsembayev, Symbat Sagyzbayeva and Gassyrbek Rakhimzhanov

Design of IoT based Patient Health Monitoring System
Yerlan Zaitin, Mansurova Madina and Octavian Postolache

Performance of Packet Delivery Ratio for Varying Vehicle’s Speeds on Highway in C-V2X Mode 4
Teguh Indra Bayu, Yung-Fa Huang and Jeang-Kuo Chen

Complement Naive Bayes Classifier for Sentiment Analysis of Internet Movie Database
Christine Dewi and Rung-Ching Chen

MLP-Mixer Approach for Corn Leaf Diseases Classification
Li-Hua Li and Radius Tanone

Employing Generative Adversarial Network in COVID-19 diagnosis
Jakub Dereń and Michal Wozniak

Random Forest in Whitelist-based ATM Security
Michal Maliszewski and Urszula Boryczka

Self-Optimizing Neural Network in classification of real valued experimental data
Alicja Miniak-Górecka, Tomasz Gwizdałła and Krzysztof Podlaski

The quality of clustering data containing outliers
Agnieszka Nowak-Brzezinska and Igor Gaibei

A stable method for detecting driver maneuvers using a rule classifier
Piotr Porwik, Tomasz Orczyk and Rafal Doroz

Features of hand-drawn spirals for recognition of Parkinson’s disease
Krzysztof Wrobel, Rafal Doroz, Piotr Porwik, Tomasz Orczyk, Agnieszka Betkowska Cavalcante and Monika Grajzer

Blockchain-based Decentralized Digital Content Management and Sharing System
Thong Bui, Tan Duy Le, Tri-Hai Nguyen, Bogdan Trawinski and Tung Le

Application of Hyperledger blockchain to reduce infor-mation asymmetries in the used car market
Chien-Wen Shen, Agnieszka Koziel and Chieh Wen

Locally Differentially Private Quantile Summary Aggregation in Wireless Sensor Networks
Aishah Aseeri and Rui Zhang

Experiments with Solving Mountain Car Problem Using State Discretization and Q-Learning
Amelia Badica, Costin Badica, Mirjana Ivanovic and Doina Logofătu

An Implementation of Depth-First and Breadth-First Search Algorithms for Tip Selection in IOTA Distributed Ledger
Andras Ferenczi and Costin Badica

Meet your email sender - hybrid approach to email signature extraction
Jelena Graovac, Ivana Tomasevic and Gordana Pavlovic-Lazetic

Door-to-door sampling service with drone
Tran Thi Hue, Nguyen Quang Anh, Tran Van Thanh, Pham Phu Manh, Huynh Thi Thanh Binh and Nguyen Khanh Phuong

A Homomorphic Encryption Approach for Privacy-Preserving Deep Learning in Digital Health Care Service
Tuong Nguyen-Van, Thanh Nguyen-Van, Tien-Thinh Nguyen, Dong Bui-Huu, Quang Le-Nhat, Tran Vu Pham and Khuong Nguyen-An

G-Fake: Tell me how it is shared and I shall tell you if it is fake
Nawfal Abbassi Saber, Rachid Guerraoui, Anne-Marie Kermarrec and Alexandre Maurer

Toward Understanding the Impact of Input Data for Multi-Image Super-Resolution
Jakub Adler, Jolanta Kawulok and Michal Kawulok

LDA+: An Extended LDA Model for Topic Hierarchy and Discovery
Drissi Amani, Ahmed Khemiri, Anis Tissaoui, Salma Sassi, Richard Chbeir and Abderrazek Jemai

Image Pixel Interval Power (IPIP) method for Deep Learning Classification Models
Abdulaziz Anorboev, Javokhir Musaev, Jeongkyu Hong, Ngoc Thanh Nguyen and Dosam Hwang

Abstractive Text Summarization Utilising Pretrained Language Models
Ayesha Ayub Syed, Ford Lumban Gaol, Alfred Boediman, Tukoro Matsuo and Widodo Budiharto

Schema formalism for semantic summary based on labeled graph from heterogeneous data
Amal Beldi, Salma Sassi, Richard Chbeir and Abderrazek Jemai

Shapley Additive Explanations for Text Classification and Sentiment Analysis of Internet Movie Database
Christine Dewi, Vani Suthamathi Saravanarajan and Rung-Ching Chen

Polarization in Personalized Recommendations: Balancing Safety and Accuracy
Zakaria El Moutaouakkil, Mohamed Lechiakh and Alexandre Maurer

Improving Autoencoders Performance for Hyperspectral Unmixing using Clustering
Bartosz Grabowski, Przemysław Głomb, Kamil Książek and Krisztián Buza

Semantic Pivoting Model for Effective Event Detection
Anran Hao, Siu Cheung Hui and Jian Su

Forecasting cryptocurrency price fluctuations with Granger causality analysis
David John and Bela Stantic

Machine learning or lexicon based sentiment analysis techniques on social media posts
David John and Bela Stantic

Graph Neural Networks-based Multilabel Classification of Citation Network
Guillaume Lachaud, Patricia Conde-Cespedes and Maria Trocan

A Novel Integrating Approach Between Graph Neural Network and Complex Representation for Link Prediction in Knowledge Graph
Thanh Le, Loc Tran and Bac Le

Embedding and Integrating Literals to the HypER Model for Link Prediction on Knowledge Graphs
Thanh Le, Tuan Tran and Bac Le

Extensions of the Diffie-Hellman key agreement protocol based on exponential and logarithmic functions
Zbigniew Lipinski and Jolanta Mizera-Pietraszko

On Verified Automated Reasoning in Propositional Logic
Simon Tobias Lund and Jørgen Villadsen

Impact of Radio Map Interpolation on Accuracy of Fingerprinting Algorithms
Juraj Machaj and Peter Brida

Combining User Specific and Global News Features for Neural News Recommendation
Cuong Manh Nguyen, Ngo Xuan Bach and Tu Minh Phuong

DACE: Did I catch you at a good time?
Anurag Modi, Sailaja Rajanala and Manish Singh

Using Deep Transformer based Models to predict ozone levels
Manuel Méndez, Carlos Montero and Manuel Núñez

Fusing Deep Learning with Support Vector Machines to Detect COVID-19 in X-Ray
Jakub Nalepa, Piotr Bosowski, Wojciech Dudzik and Michal Kawulok

A Lightweight and Efficient GA-based Model-Agnostic Feature Selection Scheme for Time Series Forecasting
Minh Hieu Nguyen, Viet Huy Nguyen, Thanh Trung Huynh, Thanh Hung Nguyen, Quoc Viet Hung Nguyen and Phi Le Nguyen

Scheduling Parallel Data Transfers in Multi-tiered Persistent Storage
Nan Noon Noon, Jansuz R. Getta and Tianbing Xia

Single-stage real-time face mask detection
Linh Phung-Khanh, Bogdan Trawinski, Vi Le-Thi-Tuong, Anh Pham-Hoang-Nam and Nga Ly-Tu

Fast and accurate evaluation of collaborative filtering recommendation algorithms
Nikolaos Polatidis, Stelios Kapetanakis, Elias Pimenidis and Yannis Manolopoulos

Towards Efficient Discovery of Partial Periodic Patterns in Columnar Temporal Databases
Penugonda Ravikumar, Bathala Venus Vikranth Raj, Palla Likhitha, Rage Uday Kiran, Yutaka Watanobe, Sadanori Ito, Koji Zettsu and Masashi Toyoda

Utility Driven Job Selection Problem on Road Networks
Mayank Snghal and Suman Banerjee

Improvement Graph Convolution Collaborative Filtering with Weighted addition input
Tin Tran and Václav Snášel

A Semantic-based Approach for Keyphrase Extraction from Vietnamese Documents
Linh Viet Le and Tho Thi Ngoc Le

Enhancing Vietnamese Question Generation with Reinforcement Learning
Nguyen Vu and Kiet Nguyen

Cost-Oriented Candidate Screening Using Machine Learning Algorithms
Shachar Wild and Mark Last


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