yusuke1997/dblp-id-title huggingface dataset:
RNA Structure as Permutation: A GA Approach Comparing Different Genetic Sequencing Operators
Practical Approximation of Optimal Multivariate Discretization
Robust Learning in Expert Networks: A Comparative Analysis
Term Distribution-Based Initialization of Fuzzy Text Clustering
Inferring Causality and Cyclic Behavior through Data Flow Analysis
FutureTrust Algorithm in Specific Factors on Mobile Agents
A Multi-Step Process for Discovering, Managing and Refining Strong Functional Relations Hidden in Databases
Automated Discovery of Decision Rule Chains Using Rough Sets and Medical Diagnostic Model
Induction of Expert System Rules from Databases Based on Rough Set Theory and Resampling Methods
A System for Understanding a Mechanical Assembly Instruction Manual Using Virtual Space
Design of Rough Neurons: Rough Set Foundation and Petri Net Model
Samples for Understanding Data-Semantics in Relations
An inference model for inheritance hierarchies with exceptions
Simulations and symbolic explanations
Locally Finite, Proper and Complete Operators for Refining Datalog Programs
Finding Logical Consequences Using Unskolemization
A Butler Agent for Personalized House Control
Analyzing Behavior of Objective Rule Evaluation Indices Based on Pearson Product-Moment Correlation Coefficient
Minutiae Extraction from Fingerprint Images Using Run-Length Code
On the Expressive Power of Circumscriptions
Towards Musical Data Classification via Wavelet Analysis
Decision Tree Induction for Identifying Trends in Line Graphs
The Semantics of Propositional Contexts
A Comparative Study on Soft Biometric Approaches to Be Used in Retail Stores
Evolutionary Exploration of Search Spaces
Automatic Defect Detection by One-Class Classification on Raw Vehicle Sensor Data
Building the Data Warehouse of Frequent Itemsets in the DWFIST Approach
Investigating Logical Properties of the Rule-Based Expert Systems Using Combinatorial and Geometrical Techniques I
Why to Apply Generalized Disjunction-Free Generators Representation of Frequent Patterns?
Correlated Gauss Distribution Based Rough Entropy Thresholding Measures in Image Segmentation
PLAtestGA: A CNF-Satisfiability Problem for the Generation of Test Vectors for Missing Faults in VLSI Circuits
Multiple Model Text Normalization for the Polish Language
Towards the Design of a Knowledge Based System for Hypercarbon Play Analysis
Customer Experience Management Architecture for Enhancing Corporate Customer Centric Capabilities
Deep Neural Networks for Face Recognition: Pairwise Optimisation
Multi-expression Face Recognition Using Neural Networks and Feature Approximation
Should Decision Trees be Learned from Examples of from Decision Rules?
Domain Independent Support Propagation Architectures
Inferencing on an Arbitrary Set of Links
Fully Deadline-Coupled Planning: One Step at a Time
Rough Sets as A Tool for Audio Signal Classification
Multi-strategy Instance Selection in Mining Chronic Hepatitis Data
Representing and Reasoning on Conceptual Queries Over Image Databases
Perceptual Convergence of Discrete Clamped Fractal Operator
Some Case-Refinement Strategies for Case-Based Criminal Summary Judgments
Evidential Combination Operators for Entrapment Prediction in Advanced Driver Assistance Systems
Temporal Reasoning with Layered Preferences
Static Music Emotion Recognition Using Recurrent Neural Networks
An Improved Inductive Learning Algorithm with a Preanalysis of Data
Acute Kidney Injury Detection: An Alarm System to Improve Early Treatment
On Predicting a Call Center's Workload: A Discretization-Based Approach
Experimental Analysis of the Q-Matrix Method in Knowledge Discovery
A Learning Server for Inducing User Classification Rules in a Digital Library Service
Using Semantic Information for Processing Negation and Disjunction in Logic Programs
Researcher Name Disambiguation: Feature Learning and Affinity Propagation Clustering
Probability Logic Modeling of Knowledge Discovery in Databases
Case-Based Reasoning Applied to A Force Generation Decision Aid
Local Feature Selection with Dynamic Integration of Classifiers
Knowledge Revision for Document Understanding
Signed Formulas and Fuzzy Operator Logics
Scalable Inductive Learning on Partitioned Data
On Interval-based Temporal Planning: An IQ Strategy
Planning with Sets
Emerging Intelligent Technologies in Industry, 19th International Symposium, ISMIS 2011, Warsaw, Poland, June 28-30, 2011. Proceedings of the Industrial Session
Decision Value Oriented Decomposition of Data Tables
Floorplan Design Using Improved Genetic Algorithm
Multi-objective Discrete Moth-Flame Optimization for Complex Network Clustering
Goodness-of-Fit Measures for Induction Trees
Endowing Semantic Query Languages with Advanced Relaxation Capabilities
Explaining Object Motion Using Answer Set Programming
Logical foundations for knowledge representation in intelligent systems
Towards a Methodology for Acquiring Social-Scientific Knowledge
Image Databases Browsing by Unsupervised Learning
Decision Fusion of Shape and Motion Information Based on Bayesian Framework for Moving Object Classification in Image Sequences
Knowledge Discovery from Databases with the Guidance of a Causal Network
Multi-attributes-Based Negotiation Agent and E-marketplace in Customer-to-Customer Electronic Commerce
Theoretical Evaluation of Ring-Based Architectural Model for Middle Agents in Agent-Based System
Design Patterns in Intelligent Systems
Leveraging Machine Learning in IoT to Predict the Trustworthiness of Mobile Crowd Sensing Data
Enhancing Temporal Transformers for Financial Time Series via Local Surrogate Interpretability
Abstract Inference Structures to Support Variable Rule Structures for Expert Systems
Improving SVM Training by Means of NTIL When the Data Sets Are Imbalanced
A Representation of Coordinated Actions Characterized by Interval Valued Conditions
Automatic Handling of Digital Image Repositories: A Brief Survey
Boolean Reasoning for Decision Rules Generation
Markov Blanket Approximation Based on Clustering
ScoredKNN: An Efficient KNN Recommender Based on Dimensionality Reduction for Big Data
A Proposal for Classifying the Content of the Web of Data Based on FCA and Pattern Structures
DDLD-Based Reasoning for MAS
Intelligence in Interoperability with AIDA
Building Thermal Renovation Overview - Combinatorics + Constraints + Support System
Joint Multiclass Debiasing of Word Embeddings
Fast Termination of the Deductive Process in Resolution Proof Systems for Non-Classical Logics
Learning Profiles Based on Hierarchical Hidden Markov Model
Meta-Level Control of Approximate Reasoning: A Decision Theoretic Approach
Towards a Theory of Inductive Logic Programming
World Model Construction in Children during Physics Learning
Modified Component Valuations in Valuation Based Systems as a Way to Optimize Query Processing
Updating Logic Programs
Comparing and Merging Ontologies: A Concept Type Hierarchy Approach
Module: A Modular Programming Environment in Prolog
Intelligent Information Retrieval for Web-Based Design Data Repository
DBaaS-Expert: A Recommender for the Selection of the Right Cloud Database
Application of DRSA-ANN Classifier in Computational Stylistics
Some Experimental Results Relevant to the Optimization of Configuration and Planning Problems
Information Retrieval Based on Statistical Language Models
Inference for Annotated Logics over Distributive Lattices
Finding Association Rules Using Fast Bit Computation: Machine-Oriented Modeling
Unsupervised Vehicle Recognition Using Incremental Reseeding of Acoustic Signatures
Detecting Anomalies with rmLatentOut: Novel Scores, Architectures, and Settings
Compiling Proof Search in Semantic Tableaux
C&E Re-clustering: Reconstruction of Clustering Results by Three-Way Strategy
Logical Data Independence Reconsidered (Extended Abstract)
A Better Fitness Measure of a Text-Document for a Given Set of Keywords
Reasoning about Higher Order Uncertainty in Possiblistic Logic
On Modeling of Concept Based Retrieval in Generalized Vector Spaces
Frequent Pattern Mining with Preferences-Utility Functions Approach
Mining Musical Patterns: Identification of Transposed Motives
Rough Set Based Data Exploration Using ROSE System
LOGSTER - A Relational, Object-Oriented System for Knowledge Representation
Foundations of Intelligent Systems - 20th International Symposium, ISMIS 2012, Macau, China, December 4-7, 2012. Proceedings
Evolving Finite-State Machine Strategies for Protecting Resources
Reasoning about Relations with Dependent Types: Application to Context-Aware Applications
On Containment of Triclusters Collections Generated by Quantified Box Operators
RPKM: The Rough Possibilistic K-Modes
Methodologies for Intelligent Systems, 6th International Symposium, ISMIS '91, Charlotte, N.C., USA, October 16-19, 1991, Proceedings
Predicting Stock Trends Based on Expert Recommendations Using GRU/LSTM Neural Networks
Matrix Factorization Based Heuristics Learning for Solving Constraint Satisfaction Problems
Integrating Machine-Learning Techniques in Knowledge-Based Systems Verification
Probabilistic Aggregates
HC-edit: A Hierarchical Clustering Approach to Data Editing
Evaluating Decision Trees Grown with Asymmetric Entropies
Attribute Dynamics in Rough Sets
Program Synthesis from Examples by Theory Formation
Exploiting Web Sites Structural and Content Features for Web Pages Clustering
A Comparison of Rule Matching Methods Used in AQ15 and LERS
A Dynamic Integration Algorithm for an Ensemble of Classifiers
Transforming Queries from a Relational Schema to an Equivalent Object Schema: A Prototype Based on F-logic
On Stable Autoepistemic Theories
Injecting Domain Knowledge into RDBMS - Compression of Alphanumeric Data Attributes
Hyperbolic Embeddings for Hierarchical Multi-label Classification
Algorithmic Daily Trading Based on Experts' Recommendations
Mining and Modeling Database User Access Patterns
A Distance-Based Algorithm for Clustering Database User Sessions
Rule Discovery from Databases with Decision Matrices
On the Unknown Attribute Values in Learning from Examples
When Nakamoto Meets Nash: Blockchain Breakthrough Through the Lens of Game Theory (Invited Talk)
To Infinity and Beyond: Financing Platforms with Uncapped Crypto Tokens (Extended Abstract)
Cryptocurrency Egalitarianism: A Quantitative Approach
Detecting and Quantifying Crypto Wash Trading (Extended Abstract)
Commit-Reveal Schemes Against Front-Running Attacks (Extended Abstract)
4th International Conference on Blockchain Economics, Security and Protocols, Tokenomics 2022, Paris, France, December 12-13, 2022
Secure Computation with Non-Equivalent Penalties in Constant Rounds
3rd International Conference on Blockchain Economics, Security and Protocols, Tokenomics 2021, New York University, USA (Virtual Conference), November 18-19, 2021
Atomic Appends: Selling Cars and Coordinating Armies with Multiple Distributed Ledgers
MixEth: Efficient, Trustless Coin Mixing Service for Ethereum
On Cryptocurrency Wallet Design
General Congestion Attack on HTLC-Based Payment Channel Networks
Presentation and Publication: Loss and Slippage in Networks of Automated Market Makers
Fundamentals of the MakerDAO Governance Token
A Puff of Steem: Security Analysis of Decentralized Content Curation
Implementation Study of Two Verifiable Delay Functions
B-CoC: A Blockchain-Based Chain of Custody for Evidences Management in Digital Forensics
Blockchain and Privacy (Invited Talk)
Best Before? Expiring Central Bank Digital Currency and Loss Recovery (Extended Abstract)
Selfish Mining and Dyck Words in Bitcoin and Ethereum Networks
An Empirical Study of Speculative Concurrency in Ethereum Smart Contracts
2nd International Conference on Blockchain Economics, Security and Protocols, Tokenomics 2020, Toulouse, France, October 26-27, 2020
Consistency of Automated Market Makers
Blockguard: Adaptive Blockchain Security (Short Paper)
Decentralization in Open Quorum Systems: Limitative Results for Ripple and Stellar
Maximal Extractable Value (MEV) Protection on a DAG
VeriOSS: Using the Blockchain to Foster Bug Bounty Programs
F1 Fee Distribution
Digital Currencies as Types (Invited Talk)
Interest Rate Rules in Decentralized Finance: Evidence from Compound
International Conference on Blockchain Economics, Security and Protocols, Tokenomics 2019, Paris, France, May 6-7, 2019
The Impact of Ethereum Throughput and Fees on Transaction Latency During ICOs
1DLT: Rapid Deployment of Secure and Efficient EVM-Based Blockchains
Dynamic Posted-Price Mechanisms for the Blockchain Transaction Fee Market (Invited Talk)
Welcome to the Jungle: A Reference Model for Blockchain, DLT and Smart-Contracts (Short Paper)
A Smart Contract Oracle for Approximating Real-World, Real Number Values
A Foundation for Ledger Structures
Some Economics of Fintech (Invited Talk)
On Fairness in Committee-Based Blockchains
Tuning PoW with Hybrid Expenditure
Distributed Computing Meets Game Theory: Fault Tolerance and Implementation with Cheap Talk (Invited Talk)
Algorithmic Game Theory and Blockchains (Invited Talk)
Optimal Design of Tokenized Markets
Demystifying Blockchains: Decentralized and Fault-Tolerant Storage for the Future of Big Data? (Keynote Lecture)
How Blockchain Tokens Are Changing Platform Economics (Invited Talk)
Parasite Chain Detection in the IOTA Protocol
The Stability and the Security of the Tangle
Revisiting the Liquidity/Risk Trade-Off with Smart Contracts (Short Paper)
The Demand for Programmable Payments: Extended Abstract (Extended Abstract)
Flexible BFT: Separating BFT Protocol Design from the Fault Model (Keynote Lecture)
Proof of Behavior (Short Paper)
Dynamic Co-attention Network for Visual Question Answering
Enhancing Differential Evolution Algorithm: Adaptation for CEC 2017 and CEC 2021 Test Suites
Abstractive Text Summarization Using Multimodal Information
RetinaNet Object Detector Based on Analog-to-Spiking Neural Network Conversion
Vision Transformer-based Deep Learning Model for Leather Species Identification
Hybrid Quantum Approximate Optimization Using Enhanced Ant Colony Optimization to Solve Large-Scale Combinatorial Optimization Problems
Alzheimer's Dementia Detection Using Acoustic & Linguistic Features and Pre-trained BERT
PM4Tree: A Scriptable Parametric Modeling Interface for Decorative Tree Design Using PM4VR
Deterministic Parameter Control Applied to the Grouping Genetic Algorithm with Controlled Gene Transmission
Foreign Exchange Rate Forecast by a Large Language Model Integrated with Trend Description
Anticipating Collaborative Trends in Spotify Music using Variants of Graph Neural Networks
CanScan: Classification of cancer types using deep learning approach
Minimizing the Total Cost for a Multi-objective Single Machine Scheduling Problem Constrained by a Competing Risk Reliability Model
Enhancing Fine-Tuning of Pre-trained Language Models for Sentiment Analysis Using Metaheuristic Algorithms
Context Aware Cyberbullying Classification Using Network Science
Hadamard Estimated Attention Transformer (HEAT): Fast Approximation of Dot Product Self-attention for Transformers Using Low-Rank Projection of Hadamard Product
Modeling and Optimization of Two-Chamber Muffler by Genetic Algorithm
MAS4CHICKEN: Multi-Agent Systems based order service model for waiting time reduction at rotisserie chicken restaurants in Lima - Peru
SwarMind: Harnessing Large Language Models for Flock Dynamics
Priority-First Search and Mining Popular Packages
11th International Conference on Soft Computing & Machine Intelligence, ISCMI 2024, Melbourne, Australia, November 22-23, 2024
Multi-Modal MRI Brain Tumor Segmentation Using Attention Modules
9th International Conference on Soft Computing & Machine Intelligence, ISCMI 2022, Toronto, ON, Canada, November 26-27, 2022
RestHAR: Residual Feature Learning Transformer for Human Activity Recognition from Multi-sensor Data
8th International Conference on Soft Computing & Machine Intelligence, ISCMI 2021, Cario, Egypt, November 26-27, 2021
SecureMed: Federated learning empowered approach for securing medical data
Non-fungible Token Price Prediction with Multivariate LSTM Neural Networks
Reconfigurable Quadruped Robot with Mammalian and Sprawling Walking Modes
Comparison of a Deep Learning-based Axle Load Estimator and the Matrix Method in Strain Gauge-based Bridge Weigh-In-Motion Systems
Lane-Level Matching Algorithm Based on GNSS, IMU and Map Data
Tomato Leaf Disease Detection and Classification using MobileNetV2 and Extreme Learning Method: A Hybrid Approach
Feature Construction, Feature Reduction and Search Space Reduction Using Genetic Programming
MA-FDRNN: Multi-Asset Fuzzy Deep Recurrent Neural Network Reinforcement Learning for Portfolio Management
A Multi-level Classification Assisted Evolutionary Algorithm Based on Distribution Prediction
Dissipative Control for Delayed T-S Fuzzy System with Data Packet Dropout
Unsupervised Learning Reduces Local Image Redundancy and Improves Supervised Segmentation of Dermoscopy Lesions
Using Deep Learning to Detecting Deepfakes
Loan Repayment Prediction Using Logistic Regression Ensemble Learning With Machine Learning Algorithms
q-rung orthopair neutrosophic fuzzy rough sets with an application based on multi-criteria decision-making
LigMANet: Towards Designing a Lightweight Crowd Counting Model
Leveraging Semantic Similarity for Non-Conformity management in industrial environments
Voice Modulation in Audiobook Narration
Dysfluency Classification in Speech Using a Biological Sound Perception Model
Advanced Stock Price Prediction with xLSTM-Based Models: Improving Long-Term Forecasting
CLISDE: An Agent-Oriented Cladistic Island Genetic Algorithm
ParDen: Surrogate Assisted Hyper-Parameter Optimisation for Portfolio Selection
A Genetic Algorithm Considering Earth Curvature to Plan a Flight Route of Minimal Distance
Industrial computed tomography based intelligent non-destructive testing method for power capacitor
Arrhythmia Recognition by a Deep Spectral Autoencoder
Detection of Multiple Sclerosis Using Convolutional Neural Networks: A Comparative Study
Pipeline Leakage Detection and Characterisation with Adaptive Surrogate Modelling Using Particle Swarm Optimisation
DSS: A Diverse Sample Selection Method to Preserve Knowledge in Class-Incremental Learning
Fake News Detection Using Deep Learning and Natural Language Processing
Enhancing English Proficiency Test Evaluation: Leveraging Artificial Intelligence for Result Classification
Inverse-Distance Weighted K- Nearest Neighbor for Raw and Scaled Data set in Human Detection using Odour
A Comparative Study of Sequential Deep Learning Models in Financial Time Series Forecasting
Transfer Learning Utilizing Real Industrial Vehicle Data Based on Similar Usage Trends
A Hybrid Gain-Ant Colony Algorithm for Green Vehicle Routing Problem
Prototype of a System to Assist the Urologist in the Recognition of Urinary Bladder Tumors in MRI Images
Emotion Detection in Conversation Using Class Weights
EnviroBot: Towards a Transfer Learning and Computer Vision-based Herbicide Applicator Robot
Brazilian Air Traffic Network Analysis Using Social Network Metrics
Towards Reconstructing the Filamentary Structure of an Only Partially Visible Cosmic Web with Deep Learning and 3D Cosmological Simulations
Optimizing Speed and Accuracy Trade-off in Machine Learning Models via Stochastic Gradient Descent Approximation
Traffic Incident Reasoning Through Multi-Grained Conceptual Graph Networks
10th International Conference on Soft Computing & Machine Intelligence, ISCMI 2023, Mexico City, Mexico, November 25-26, 2023
Brain Tumor Diagnosis with Transfer Learning and Data Augmentation
Relegation-Based League Championship Algorithm
MOOCERS: Exercise Recommender System in MOOCs Based on Reinforcement Learning Algorithm
Evaluation of Sparse Binary Word Vectors in Chinese-English Machine Translations
Towards a General Type 2 Fuzzy Reasoning Approach to Modeling Modifiable Dementia Risk Factors
A Novel Approach for Federated Learning with Non-IID Data
Multiple Severity-Level Classifications for IT Incident Risk Prediction
Continuous User Authentication Using Machine Learning and Multi-finger Mobile Touch Dynamics with a Novel Dataset
Kathakali Mudras: An AI-Enhanced Predictive Approach
Recent Technologies in Differential Privacy for NLP Applications
Optimizing Vehicle Loan Default Detection with Synthetic Balancing Techniques
VPass: An Open-Source COVID-19 Vaccine Passport, and Vaccine Hesitancy
Examination of Fairness in Scheduling Tasks with Heterogeneous Resources
The Role Weights Play in Catastrophic Forgetting
F-Detector: Design of a Solution Based on Machine Learning to Detect Logical Fallacias on Digital Texts
Optimization of a Naval Asset Maintenance Plan through Hybrid Evolutionary Algorithms and Swarm Intelligence
Hybrid Joint Embedding with Intra-Modality Loss for Image-Text Matching
Proposing a Physical Condition Detection System by using RGB and Thermal Images for Facial Features Detection and Facial Temperature Extraction
Comparative Analysis of Sorting Algorithms: A Review
AMA-K: Aggressive Multi-temporal Allocation with K Experts for Online Portfolio Selection
Crime Prediction Using Spatial-Temporal Synchronous Graph Convolutional Networks
Antelope classification using Deep Neural Networks
Adversarial and Self-Adaptive Domain Decomposition Physics-Informed Neural Networks (PINNs) for High order Differential Equations with Discontinuities
A Survey of Predictive Maintenance and Self-optimization in Telecom Field Based on Machine Learning
RTRA: Rapid Training of Regularization-based Approaches in Continual Learning
Comparison of Mutual Information-based Feature Selection Method for Biological Omics Datasets
The Usability of Derived Function Features in Online Signature Verification
Texture Analysis on Digital Microscopic Leather Images For Species Identification
Towards Determining the Optimal Application of Distributed Generation for Grid Integration
The Analysis of the Generator Architectures and Loss Functions in Improving the Stability of GANs Training towards Efficient Intrusion Detection
Retrained Model as a Pillar for an Automatic NPK Analyzer
Ensemble Learning: An Indispensable Ingredient for Enhancing Regression Tree Performance
QLoRA-Based Fine-Tuning of LLMs on Multiple Medical Reasoning Tasks to Enhance their Comprehension of Clinical Notes
Application of Golden Section Search Method in the Design of a Combined Muffler
Fruit and Vegetable Sorting Using Machine Learning and Parametric Sorter
Design and Evaluation of Arithmetic and Logic Unit Using Simulated Annealing
SQL Injection Detection Using Machine Learning Techniques
A Study on Developmental Artificial Neural Networks that Integrate Multiple Functions using Variational Autoencoder
Complexity Measurement for Multitask Classification Problems in Machine Learning
Agricultural Yield Estimation of Various Crops in Southern India Using Vegetation Index
Indian Sign Language Recognition System
Optimization of the Retardance in Citrate Coated Ferrofluids Using Integrated Genetic-Sequential Quadratic Programming Technique
Input Prediction Using Consensus Driven SOMs
Layer Sensitivity Aware CNN Quantization for Resource Constrained Edge Devices
Semantic Segmentation and Pathology Localization in Lung Ultrasound Images Using Transfer Learning
Optimization of Acoustic and Flow Performance in a Perforated Muffler
A Population-Based Algorithm for Solving the Fuzzy Capacitated Maximal Covering Location Problem
A Generative Frailty Index based Explainable Approach for Hospital Readmission Prediction
Enhancing Deepfake Detection with a Hybrid CNN-BiLSTM Approach
On the Feasibility of using Neural Networks as High-level solvers for the Pod Allocation Problem within Robotic Mobile Fulfillment Systems
Quantum Watermarking Schemes for QHSL Images in Spatial Domain
A Cooperative Population-Based Method for Solving the Max-Min Knapsack Problem with Multi-scenarios
Exploring the Potential of a Genetic Algorithm on a Real-World Complex Scheduling Problem
Promoting culture in Peru through a graph-based recommender system
Classification of PS and ABS Black Plastics for WEEE Recycling Applications
Neural-Network Architecture Approach: An Automated Essay Scoring Using Bayesian Linear Ridge Regression Algorithm
Semi-supervised clustering algorithm for data streams