Adaptive Modeling, Neuroscience
If Only I Would Have Done That ... A Controlled Adaptive Network Model for Learning by Counterfactual Thinking
A Computational Model for the Second-Order Adaptive Causal Relationships between Anxiety, Stress and Physical Exercise
AI in Biomedical Applications
ebioMelDB: Multi-modal database for melanoma and its application on estimating patient prognosis
Improved Biomedical Entity Recognition via longer context modelling
Scalable NPairLoss-based Deep-ECG for ECG Verification
A Comparative Study of Embedded Feature Selection Methods on Microarray data
AI Impacts/Big Data
The AI4Media project: Use of Next-generation Artificial Intelligence Technologies for Media Sector Applications
Regression Predictive Model to analyze Big Data Analytics in Supply Chain Management
Automated Machine Learning
An Automated Machine Learning Approach for Predicting Chemical Laboratory Material Consumption
An Ontology-Based Concept for Meta AutoML
Object Migration Automata for Non-Equal Partitioning Problems with Known Partition Sizes
Autonomous Agents
Enhanced Security Framework for Enabling Facial Recognition in Autonomous Shuttles Public Transportation during COVID-19
Evaluating Task-General Resilience Mechanisms in a Multi-Robot Team Task
Clustering
A Multi-View Clustering Approach for Analysis of Streaming Data
Efficient Approaches for Density-Based Spatial Clustering of Applications with Noise
Self-organizing maps for optimized robotic trajectory planning applied to surface coating
Convolutional Neural Networks
An autoencoder convolutional neural network framework for Sarcopenia detection based on multi-frame ultrasound image slices
Automatic Classification of XCT Images in Manufacturing
Cross-lingual Approaches for Task-specific Dialogue ActRecognition
Just-in-time Biomass Yield Estimation with Multi-Modal Data and Variable Patch Training Size
Robustness testing of AI systems: A case study for traffic sign recognition
Data Mining/ Word Counts
BIBLIOBICLUSTER: A bicluster algorithm for Bibliometrics
Topic identification via human interpretation of word clouds: The case of Instagram hashtags
Deep Learning
A Comparative Study of Deep Learning Techniques for Financial Indices Prediction
An Effective Loss Function for Generating 3D Models from Single 2D Image without Rendering
Collaborative Edge-Cloud Computing for Personalized Fall Detection
Deep Dense and Convolutional Autoencoders for Machine Acoustic Anomaly Detection
Neural Network Compression Through Shunt Connections and Knowledge Distillation for Semantic Segmentation Problems
System-wide anomaly detection of industrial control systems via deep learning and correlation analysis
Verification of Size Invariance in DNN Activations using Concept Embeddings
Artificial Intelligence in Music Composition
Deep Learning and AI for Optimization in 5G Technology
Fuzzy Modeling
Intuitionistic Fuzzy Neural Network for Time Series Forecasting
The Case of Metal Prices
Hyperdimensional Computing
PQ-HDC: Projection-based Quantization Scheme for Flexible and Efficient Hyperdimensional Computing
Hyperdimensional Computing with Learnable Projection for User Adaptation Framework
Internet of Things/Internet of Energy
AVE
an Integrated Approach of Personal and Home Safety for Active Assisted Living
BEMS in the Era of Internet of Energy: A Review
Machine Learning
A Survey of Methods for Detection and Correction of Noisy Labels in Time Series Data
An automated tool to support an intelligence learner management system using Learning Analytics and Machine Learning
Classification of Point Clouds with Neural Networks and Continuum-Type Memories
Cyber Supply Chain Threat Analysis and Prediction using Machine Learning and Ontology
Intelligent Techniques and Hybrid Systems Experiments Using the Acumen Modeling and Simulation Environment
Predicting CO2 Emissions for Buildings Using Regression and Classification
Robust Pose Estimation Based on Maximum Correntropy Criterion
The Generative Adversarial Random Neural Network
Using Machine Learning Methods to Predict Subscriber Churn of a Web-based Drug Information Platform
Analysis and Prediction for House Sales Price Using a Hybrid Machine Learning Approach
Multi Agent Systems
Dynamic Plume Tracking Utilizing Symbiotic Heterogeneous Remote Sensing Platforms
Improving the flexibility of production scheduling in flat steel production through standard and AI-based approaches: challenges and perspectives
Natural Language
A comparative assessment of state-of-the-art methods for multilingual unsupervised keyphrase extraction
An Approach Utilizing Linguistic Features for Fake News Detection
CEA-TM: A Customer Experience Analysis framework based on Contextual-aware Topic Modeling approach
Machine Learning Meets Natural Language Processing
The story so far
SemAI: A Novel Approach for Achieving Enhanced Semantic Interoperability in Public Policies
Recommendation Systems
Optimization of Multi-Stakeholder Recommender Systems for Diversity and Coverage
Recommending Database Architectures For Social Queries: A Twitter Case Study
Science4Fashion: An Autonomous Recommendation System for Fashion Designers
Sentiment Analysis
A two-step optimised BERT-based NLP algorithm for extracting sentiment from financial news
Learning Sentiment-aware Trading Strategies for Bitcoin leveraging Deep Learning-based Financial News Analysis
Smart Blockchain Applications/ Cybersecurity
Federated Blockchained Supply Chain Management: A CyberSecurity and Privacy Framework
Validation and Verification for Data Marketplaces.