yusuke1997/dblp-id-title huggingface dataset:
Quantum Markov Model for Data from Shafir-Tversky Experiments in Cognitive Psychology
On the Reconstruction of Diagonal Elements of Density Matrix of Quantum Optical States by on/off Detectors
Entanglement Witnesses for a Class of Bipartite States of n × n Qubits
On the Tensor Convolution and the Quantum Separability Problem
Evolution of Genuine Multipartite Entanglement of Specific and Random States Under non-Markovian Noise
X, Y, and Z Subgroups of the Unitary Group
The Pitfalls of Deciding Whether a Quantum Channel is (Conjugate) Degradable and How to Avoid Them
Random Lindblad Operators Obeying Detailed Balance
Damped Oscillations of the Energy of a Bosonic Bath due to Spectral Gaps and Special Initial Correlations
Understanding and Generalizing Unique Decompositions of Generators of Dynamical Semigroups
Remarks on the Structure of Clifford Quantum Cellular Automata
The Least Action and the Metric of an Organized System
The First 40 Years of GKSL Generators and Some Proposal for the Future
Entropy Approach in the Analysis of Anisotropy of Digital Images
A Minimum-Disturbing Quantum State Discriminator
Stochastic Master Equations in Thermal Environment
A Class of Linear Positive Maps in Matrix Algebras
Decoherence-Free Subspaces for a Quantum Register Interacting with a Spin Environment
Single-Photon Single-Ion Interaction in Free Space Configuration in Front of a Parabolic Mirror
A Fermat-like Principle for Chemical Reactions in Heterogeneous Systems
Quantum Computation of Universal Link Invariants
Joint Measurability in Lindbladian Open Quantum Systems
Przemysław Staszewski, 1947-2013: In Memory of Professor P. Staszewski, Managing Editor of OSID in 1992-2011
On a Stroboscopic Approach to Quantum Tomography of Qudits Governed by Gaussian Semigroups
Nonlinear Optimal Feedback Control of the Two-Level Open Non-Markovian Stochastic Quantum System
When the Assignment Map Is Completely Positive
Dually Flat Manifolds and Global Information Geometry
Erratum: "Bose-Einstein Condensation of a Stochastic Liquid"
Reduced Operator Approximation for Modelling Open Quantum Systems
On Markovian Master Equations II
Complete Positivity of Two Class of Maps Involving Depolarizing and Transpose-Depolarizing Channels
Many Unstable Particles from an Open Quantum System's Perspective
Reading a Qubit Quantum State with a Quantum Meter: Time Unfolding of Quantum Darwinism and Quantum Information Flux
On the Liouville-von Neumann Equation for Unbounded Hamiltonians
A Wasserstein-type Distance to Measure Deviation from Equilibrium of Quantum Markov Semigroups
Dynamical Maps and Symmetroids
A Brief Journey through Collision Models for Multipartite Open Quantum Dynamics
Quantum Correlations in a Generalized Spin Star System
Dynamic Quantum Tomography Model for Phase-Damping Channels
The NEGATOR as a Basic Building Block for Quantum Circuits
Impurity Heat Capacity and its Relation to Entanglement in Dilute Magnetic Alloys
Designing Reservoirs for 1/t Decoherence of a Qubit
Invariants of the Quantum Graph of Partial Trace
Comparison of Off-the-Shelf Methods and a Hotelling Multidimensional Approximation for Data Drift Detection
Locally-Scaled Kernels and Confidence Voting
Bag of ARSRG Words (BoAW)
An Efficient and Accurate Random Forest Node-Splitting Algorithm Based on Dynamic Bayesian Methods
Systematic Review of Recommendation Systems for Course Selection
Weighted Kappa for Interobserver Agreement and Missing Data
Quality Criteria and Method of Synthesis for Adversarial Attack-Resistant Classifiers
Balancing Results from AI-Based Geostatistics versus Fuzzy Inference by Game Theory Bargaining to Improve a Groundwater Monitoring Network
Exploration Using Without-Replacement Sampling of Actions Is Sometimes Inferior
Knowledge Graphs Representation for Event-Related E-News Articles
Generalized Permutants and Graph GENEOs
A New and Lightweight R-Peak Detector Using the TEDA Evolving Algorithm
RoSe-Mix: Robust and Secure Deep Neural Network Watermarking in Black-Box Settings via Image Mixup
A Morphological Post-Processing Approach for Overlapped Segmentation of Bacterial Cell Images
Detection of Temporal Shifts in Semantics Using Local Graph Clustering
Refereeing the Sport of Squash with a Machine Learning System
Investigating Machine Learning Applications in the Prediction of Occupational Injuries in South African National Parks
Leveraging LLMs for Automated Extraction and Structuring of Educational Concepts and Relationships
Quantifying Interdisciplinarity in Scientific Articles Using Deep Learning Toward a TRIZ-Based Framework for Cross-Disciplinary Innovation
Machine Learning Monte Carlo Approaches and Statistical Physics Notions to Characterize Bacterial Species in Human Microbiota
Dynamic Graph Analysis: A Hybrid Structural-Spatial Approach for Brain Shape Correspondence
Machine Learning in Geosciences: A Review of Complex Environmental Monitoring Applications
Optimal Topology of Vision Transformer for Real-Time Video Action Recognition in an End-To-End Cloud Solution
Mapping ESG Trends by Distant Supervision of Neural Language Models
Towards Predicting Basketball Player Positions with Transformative Insights
Cross-Validation Visualized: A Narrative Guide to Advanced Methods
Customer Churn Prediction: A Systematic Review of Recent Advances, Trends, and Challenges in Machine Learning and Deep Learning
Understanding Statistical Hypothesis Testing: The Logic of Statistical Inference
Reconstruction-Based Adversarial Attack Detection in Vision-Based Autonomous Driving Systems
Brainstorming Will Never Be the Same Again - A Human Group Supported by Artificial Intelligence
VisRep: Towards an Automated, Reflective AI System for Documenting Visualisation Design Processes
Systematic Analysis of Retrieval-Augmented Generation-Based LLMs for Medical Chatbot Applications
PIDQA - Question Answering on Piping and Instrumentation Diagrams
Prediction of Bearing Layer Depth Using Machine Learning Algorithms and Evaluation of Their Performance
Explainable Machine Learning
Particle Swarm Optimization: A Survey of Historical and Recent Developments with Hybridization Perspectives
Voting in Transfer Learning System for Ground-Based Cloud Classification
Single-Core Multiscale Residual Network for the Super Resolution of Liquid Metal Specimen Images
The Number of Topics Optimization: Clustering Approach
Medical Image Classifications Using Convolutional Neural Networks: A Survey of Current Methods and Statistical Modeling of the Literature
Evaluation of Regression Models: Model Assessment, Model Selection and Generalization Error
Improving Deep Learning for Maritime Remote Sensing through Data Augmentation and Latent Space
Prompt Engineering or Fine-Tuning? A Case Study on Phishing Detection with Large Language Models
Prediction of the Behaviour from Discharge Points for Solid Waste Management
Leveraging DNA-Based Computing to Improve the Performance of Artificial Neural Networks in Smart Manufacturing
Comparative Analysis of Perturbation Techniques in LIME for Intrusion Detection Enhancement
What about the Latent Space? The Need for Latent Feature Saliency Detection in Deep Time Series Classification
Machine Learning Prediction Models of Beneficial and Toxicological Effects of Zinc Oxide Nanoparticles in Rat Feed
AlzheimerRAG: Multimodal Retrieval-Augmented Generation for Clinical Use Cases
Advancing Life Cycle Assessment of Sustainable Green Hydrogen Production Using Domain-Specific Fine-Tuning by Large Language Models Augmentation
A Multi-Component Framework for the Analysis and Design of Explainable Artificial Intelligence
Focal Liver Lesion Detection in Ultrasound Image Using Deep Feature Fusions and Super Resolution
A New Rough Set Classifier for Numerical Data Based on Reflexive and Antisymmetric Relations
Leaving No Stone Unturned: Flexible Retrieval of Idiomatic Expressions from a Large Text Corpus
Machine Learning Method for Changepoint Detection in Short Time Series Data
FairCaipi: A Combination of Explanatory Interactive and Fair Machine Learning for Human and Machine Bias Reduction
Advancing Particle Tracking: Self-Organizing Map Hyperparameter Study and Long Short-Term Memory-Based Outlier Detection
Proximal Policy Optimization-Based Reinforcement Learning and Hybrid Approaches to Explore the Cross Array Task Optimal Solution
Using the Outlier Detection Task to Evaluate Distributional Semantic Models
AI Advances in ICU with an Emphasis on Sepsis Prediction: An Overview
TabFairGAN: Fair Tabular Data Generation with Generative Adversarial Networks
Large-Scale, Language-Agnostic Discourse Classification of Tweets During COVID-19
Low Cost Evolutionary Neural Architecture Search (LENAS) Applied to Traffic Forecasting
From the Digital Data Revolution toward a Digital Society: Pervasiveness of Artificial Intelligence
On the Application of Artificial Neural Network for Classification of Incipient Faults in Dissolved Gas Analysis of Power Transformers
A Novel Approach to Company Bankruptcy Prediction Using Convolutional Neural Networks and Generative Adversarial Networks
Bayesian Learning Strategies for Reducing Uncertainty of Decision-Making in Case of Missing Values
A Critical Study on Stability Measures of Feature Selection with a Novel Extension of Lustgarten Index
Impact of Uncertainty in the Input Variables and Model Parameters on Predictions of a Long Short Term Memory (LSTM) Based Sales Forecasting Model
Quantum Machine Learning and Deep Learning: Fundamentals, Algorithms, Techniques, and Real-World Applications
Significance of Time-Series Consistency in Evaluating Machine Learning Models for Gap-Filling Multi-Level Very Tall Tower Data
Machine Learning and Prediction of Infectious Diseases: A Systematic Review
FeaSel-Net: A Recursive Feature Selection Callback in Neural Networks
Image Text Extraction and Natural Language Processing of Unstructured Data from Medical Reports
A Machine Learning Perspective on Personalized Medicine: An Automized, Comprehensive Knowledge Base with Ontology for Pattern Recognition
Using Deep Q-Learning to Dynamically Toggle between Push/Pull Actions in Computational Trust Mechanisms
Human Pose Estimation Using Deep Learning: A Systematic Literature Review
Surrogate Object Detection Explainer (SODEx) with YOLOv4 and LIME
Certifiable Unlearning Pipelines for Logistic Regression: An Experimental Study
Missing Data Estimation in Temporal Multilayer Position-Aware Graph Neural Network (TMP-GNN)
A Diabetes Prediction System Based on Incomplete Fused Data Sources
Going to Extremes: Weakly Supervised Medical Image Segmentation
Data Reconciliation-Based Hierarchical Fusion of Machine Learning Models
Black Box Adversarial Reprogramming for Time Series Feature Classification in Ball Bearings' Remaining Useful Life Classification
A Radiative Transfer Model-Based Multi-Layered Regression Learning to Estimate Shadow Map in Hyperspectral Images
Acknowledgment to the Reviewers of Machine Learning and Knowledge Extraction in 2022
Biologically Inspired Self-Organizing Computational Model to Mimic Infant Learning
Targeted Adaptable Sample for Accurate and Efficient Quantile Estimation in Non-Stationary Data Streams
PCa-Clf: A Classifier of Prostate Cancer Patients into Patients with Indolent and Aggressive Tumors Using Machine Learning
A Novel Integration of Data-Driven Rule Generation and Computational Argumentation for Enhanced Explainable AI
Lexical Error Guard: Leveraging Large Language Models for Enhanced ASR Error Correction
A Multi-Objective Framework for Balancing Fairness and Accuracy in Debiasing Machine Learning Models
Machine Learning Based Restaurant Sales Forecasting
Introduction to MAchine Learning & Knowledge Extraction (MAKE)
Property Checking with Interpretable Error Characterization for Recurrent Neural Networks
Acknowledgment to Reviewers of MAKE in 2020
Machine Unlearning for Robust DNNs: Attribution-Guided Partitioning and Neuron Pruning in Noisy Environments
Probabilistic Jacobian-Based Saliency Maps Attacks
Representing Human Ethical Requirements in Hybrid Machine Learning Models: Technical Opportunities and Fundamental Challenges
A Novel Ramp Metering Approach Based on Machine Learning and Historical Data
Drug-Drug Interaction Extraction from Biomedical Text Using Relation BioBERT with BLSTM
Deep Self-Organizing Map of Convolutional Layers for Clustering and Visualizing Image Data
Explicit Physics-Informed Deep Learning for Computer-Aided Diagnostic Tasks in Medical Imaging
Multilayer Perceptron Mapping of Subjective Time Duration onto Mental Imagery Vividness and Underlying Brain Dynamics: A Neural Cognitive Modeling Approach
Causal Discovery with Attention-Based Convolutional Neural Networks
Enhancing Performance of Credit Card Model by Utilizing LSTM Networks and XGBoost Algorithms
Language Semantics Interpretation with an Interaction-Based Recurrent Neural Network
Knowledge Graphs and Their Reciprocal Relationship with Large Language Models
A Review of Methods for Unobtrusive Measurement of Work-Related Well-Being
KGEARSRG: Kernel Graph Embedding on Attributed Relational SIFT-Based Regions Graph
Saliency-Guided Local Semantic Mixing for Long-Tailed Image Classification
Full Domain Analysis in Fluid Dynamics
Investigating the Performance of Retrieval-Augmented Generation and Domain-Specific Fine-Tuning for the Development of AI-Driven Knowledge-Based Systems
Artificial Intelligence to Enhance Aerodynamic Shape Optimisation of the Aegis UAV
Enhancing Legal Sentiment Analysis: A Convolutional Neural Network-Long Short-Term Memory Document-Level Model
Estimating the Best Time to View Cherry Blossoms Using Time-Series Forecasting Method
Decoding Mental States in Social Cognition: Insights from Explainable Artificial Intelligence on HCP fMRI Data
ADTime: Adaptive Multivariate Time Series Forecasting Using LLMs
Solving Partially Observable 3D-Visual Tasks with Visual Radial Basis Function Network and Proximal Policy Optimization
Examining the Global Patent Landscape of Artificial Intelligence-Driven Solutions for COVID-19
Climate Change and Soil Health: Explainable Artificial Intelligence Reveals Microbiome Response to Warming
Birthweight Range Prediction and Classification: A Machine Learning-Based Sustainable Approach
A Review on Machine Learning Deployment Patterns and Key Features in the Prediction of Preeclampsia
Efficient Latent Space Compression for Lightning-Fast Fine-Tuning and Inference of Transformer-Based Models
Artificial Intelligence Analysis of the Gene Expression of Follicular Lymphoma Predicted the Overall Survival and Correlated with the Immune Microenvironment Response Signatures
Detection and Classification of Knee Injuries from MR Images Using the MRNet Dataset with Progressively Operating Deep Learning Methods
Tertiary Review on Explainable Artificial Intelligence: Where Do We Stand?
Multi-Layer Hidden Markov Model Based Intrusion Detection System
A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS
Lottery Ticket Search on Untrained Models with Applied Lottery Sample Selection
Machine Learning Predictive Analysis of Liquefaction Resistance for Sandy Soils Enhanced by Chemical Injection
A Dynamic Hypergraph-Based Encoder-Decoder Risk Model for Longitudinal Predictions of Knee Osteoarthritis Progression
Assessment of Software Vulnerability Contributing Factors by Model-Agnostic Explainable AI
Using Machine Learning for Enhancing the Understanding of Bullwhip Effect in the Oil and Gas Industry
More Buildings Make More Generalizable Models - Benchmarking Prediction Methods on Open Electrical Meter Data
Monitoring Users' Behavior: Anti-Immigration Speech Detection on Twitter
Analyzing the Impact of Oncological Data at Different Time Points and Tumor Biomarkers on Artificial Intelligence Predictions for Five-Year Survival in Esophageal Cancer
Investigating and Optimizing MINDWALC Node Classification to Extract Interpretable Decision Trees from Knowledge Graphs
Challenges of Machine Learning Applied to Safety-Critical Cyber-Physical Systems
A Comparative Analysis of European Media Coverage of the Israel-Gaza War Using Hesitant Fuzzy Linguistic Term Sets
Hardness of Learning in Rich Environments and Some Consequences for Financial Markets
Distributionally Robust Bayesian Optimization via Sinkhorn-Based Wasserstein Barycenter
A Machine Learning Evaluation of the Effects of South Africa's COVID-19 Lockdown Measures on Population Mobility
Classification Confidence in Exploratory Learning: A User's Guide
IPPT4KRL: Iterative Post-Processing Transfer for Knowledge Representation Learning
A Comparison of Surrogate Modeling Techniques for Global Sensitivity Analysis in Hybrid Simulation
Design and Implementation of a Self-Supervised Algorithm for Vein Structural Patterns Analysis Using Advanced Unsupervised Techniques
Machine Learning for an Enhanced Credit Risk Analysis: A Comparative Study of Loan Approval Prediction Models Integrating Mental Health Data
Advancing AI Interpretability in Medical Imaging: A Comparative Analysis of Pixel-Level Interpretability and Grad-CAM Models
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology
Hierarchical Reinforcement Learning: A Survey and Open Research Challenges
Why Do Tree Ensemble Approximators Not Outperform the Recursive-Rule eXtraction Algorithm?
Prediction of Drivers' Red-Light Running Behaviour in Connected Vehicle Environments Using Deep Recurrent Neural Networks
Accuracy Improvement of Debonding Damage Detection Technology in Composite Blade Joints for 20 kW Class Wind Turbine
InvMap and Witness Simplicial Variational Auto-Encoders
Autoencoder-Based Visual Anomaly Localization for Manufacturing Quality Control
Estimating Neural Network's Performance with Bootstrap: A Tutorial
Towards Robust Synthetic Data Generation for Simplification of Text in French
A Comprehensive Summary of the Application of Machine Learning Techniques for CO2-Enhanced Oil Recovery Projects
MERA: Medical Electronic Records Assistant
Machine Learning-Based Vulnerability Detection in Rust Code Using LLVM IR and Transformer Model
Pattern Classification by the Hotelling Statistic and Application to Knee Osteoarthritis Kinematic Signals
Transforming Simulated Data into Experimental Data Using Deep Learning for Vibration-Based Structural Health Monitoring
A Mathematical Framework for Enriching Human-Machine Interactions
AI-Based Video Clipping of Soccer Events
A Survey of Near-Data Processing Architectures for Neural Networks
Towards Self-Conscious AI Using Deep ImageNet Models: Application for Blood Cell Classification
Behavior-Aware Pedestrian Trajectory Prediction in Ego-Centric Camera Views with Spatio-Temporal Ego-Motion Estimation
Cyberattack Detection in Social Network Messages Based on Convolutional Neural Networks and NLP Techniques
Unraveling COVID-19 Dynamics via Machine Learning and XAI: Investigating Variant Influence and Prognostic Classification
Robust Reinforcement Learning: A Review of Foundations and Recent Advances
Review of Automatic Microexpression Recognition in the Past Decade
Alternative Formulations of Decision Rule Learning from Neural Networks
AI System Engineering - Key Challenges and Lessons Learned
Beyond Cross-Validation - Accuracy Estimation for Incremental and Active Learning Models
Concept Discovery for The Interpretation of Landscape Scenicness
Graph-Based Image Matching for Indoor Localization
A Data Science and Sports Analytics Approach to Decode Clutch Dynamics in the Last Minutes of NBA Games
Generalising Stock Detection in Retail Cabinets with Minimal Data Using a DenseNet and Vision Transformer Ensemble
Not in My Face: Challenges and Ethical Considerations in Automatic Face Emotion Recognition Technology
An Explainable Deep Learning Framework for Detecting and Localising Smoke and Fire Incidents: Evaluation of Grad-CAM++ and LIME
Enhancing Visitor Forecasting with Target-Concatenated Autoencoder and Ensemble Learning
Automated Event Detection and Classification in Soccer: The Potential of Using Multiple Modalities
Optimizing Ingredient Substitution Using Large Language Models to Enhance Phytochemical Content in Recipes
An Ensemble-Based Multi-Classification Machine Learning Classifiers Approach to Detect Multiple Classes of Cyberbullying
SHapley Additive exPlanations (SHAP) for Efficient Feature Selection in Rolling Bearing Fault Diagnosis
Acknowledgment to Reviewers of Machine Learning and Knowledge Extraction in 2021
A Parallel Approach to Enhance the Performance of Supervised Machine Learning Realized in a Multicore Environment
What ChatGPT Has to Say About Its Topological Structure: The Anyon Hypothesis
Detecting Arabic Cyberbullying Tweets Using Machine Learning
Digital Assistance Systems to Implement Machine Learning in Manufacturing: A Systematic Review
A Reinforcement Learning Approach for Scheduling Problems with Improved Generalization through Order Swapping
Encrypted DNP3 Traffic Classification Using Supervised Machine Learning Algorithms
Transfer Learning in Smart Environments
Can Principal Component Analysis Be Used to Explore the Relationship of Rowing Kinematics and Force Production in Elite Rowers during a Step Test? A Pilot Study
Evaluating Prompt Injection Attacks with LSTM-Based Generative Adversarial Networks: A Lightweight Alternative to Large Language Models
VloGraph: A Virtual Knowledge Graph Framework for Distributed Security Log Analysis
Soil Sampling Map Optimization with a Dual Deep Learning Framework
A Comparison Between Unimodal and Multimodal Segmentation Models for Deep Brain Structures from T1- and T2-Weighted MRI
Deep Learning and Autonomous Vehicles: Strategic Themes, Applications, and Research Agenda Using SciMAT and Content-Centric Analysis, a Systematic Review
Enhancing Computation-Efficiency of Deep Neural Network Processing on Edge Devices through Serial/Parallel Systolic Computing
Distributed Learning in the IoT-Edge-Cloud Continuum
SG-RAG MOT: SubGraph Retrieval Augmented Generation with Merging and Ordering Triplets for Knowledge Graph Multi-Hop Question Answering
Evaluation of ARIMA Models for Human-Machine Interface State Sequence Prediction
Comparative Analysis of Machine Learning Techniques for Predicting Bulk Specific Gravity in Modified Asphalt Mixtures Incorporating Polyethylene Terephthalate (PET), High-Density Polyethylene (HDPE), and Polyvinyl Chloride (PVC)
Predicting Wind Comfort in an Urban Area: A Comparison of a Regression- with a Classification-CNN for General Wind Rose Statistics
Visual Reasoning and Multi-Agent Approach in Multimodal Large Language Models (MLLMs): Solving TSP and mTSP Combinatorial Challenges
Fully Homomorphically Encrypted Deep Learning as a Service
Real-Time Hybrid Simulation with Deep Learning Computational Substructures: System Validation Using Linear Specimens
Explainable AI Framework for Multivariate Hydrochemical Time Series
Beyond Weisfeiler-Lehman with Local Ego-Network Encodings
Android Malware Classification Based on Fuzzy Hashing Visualization
Inference of Genome-Scale Gene Regulatory Networks: Are There Differences in Biological and Clinical Validations?
What Do the Regulators Mean? A Taxonomy of Regulatory Principles for the Use of AI in Financial Services
The Value of Numbers in Clinical Text Classification
DOPSIE: Deep-Order Proximity and Structural Information Embedding
Autoencoder Feature Residuals for Network Intrusion Detection: One-Class Pretraining for Improved Performance
Enhancing Electrocardiogram (ECG) Analysis of Implantable Cardiac Monitor Data: An Efficient Pipeline for Multi-Label Classification
Benchmarking Studies Aimed at Clustering and Classification Tasks Using K-Means, Fuzzy C-Means and Evolutionary Neural Networks
Assessing Fine-Tuned NER Models with Limited Data in French: Automating Detection of New Technologies, Technological Domains, and Startup Names in Renewable Energy
Generalized Persistence for Equivariant Operators in Machine Learning
Real-Time Vehicle Make and Model Recognition System
Adaptive AI Alignment: Established Resources for Aligning Machine Learning with Human Intentions and Values in Changing Environments
Uncertainty in XAI: Human Perception and Modeling Approaches
Comment on Novozhilova et al. More Capable, Less Benevolent: Trust Perceptions of AI Systems across Societal Contexts. Mach. Learn. Knowl. Extr. 2024, 6, 342-366