yusuke1997/dblp-id-title huggingface dataset:
On Generalization and Subsumption for Ordered Clauses
Legal Question Answering Using Ranking SVM and Syntactic/Semantic Similarity
Improving LLM Prompting with Ensemble of Instructions: A Case Study on Sentiment Analysis
A Note on Conditional Logic and Association Rules
Logical Dynamics of Commands and Obligations
Overview of Awarded Papers - The 20th Annual Conference of JSAI
Cooperative Behavior with Common Information Controller in Minority Game
Transforming Space into Place: Some Interactions in an Urban Plaza
Japanese Family via Webcam: An Ethnographic Study of Cross-Spatial Interactions
Reasoning with an (Experiential) Attitude
Using BATNAs and WATNAs in Online Dispute Resolution
Trees Detection on Google Street View Images Using Deep Learning and City Open Data
An Analysis of Selectional Restrictions with Dependent Type Semantics
Scope Parallelism in Coordination in Dependent Type Semantics
Law-Aware Access Control: About Modeling Context and Transforming Legislation
Agent-Based Simulation for Economic and Environmental Studies
Proposal of Context-Aware Music Recommender System Using Negative Sampling
Agent-Based Approaches in Economic and Social Complex System - Overview
Against Grammatical Competition: The Case of MaxElide
On the Interplay Between Entailments Among Obligations and their Violations
Finding Ambiguous Patterns on Grammar Compressed String
The Cognitive Role of Analogical Abduction in Skill Acquisition
Negotiating Epistemic Authority
Deep Markov Models for Data Assimilation in Chaotic Dynamical Systems
Mining Closed Weighted Itemsets for Numerical Transaction Databases
An A* Algorithm for Computing Edit Distance between Rooted Labeled Unordered Trees
Integration and Interaction of Trustworthy AI in a Virtual Coach - An Overview of EU-Japan Collaboration on Eldercare
A Clustering Method for Nominal and Numerical Data Based on Rough Set Theory
An Agent-Based Model for Evaluating Post-acquisition Integration Strategies
First-Order Conditional Logic and Neighborhood-Sheaf Semantics for Analysis of Conditional Sentences
Overview of Logic and Engineering of Natural Language Semantics (LENLS) 2008
Textual Entailment in Legal Bar Exam Question Answering Using Deep Siamese Networks
Avatamsaka Game Experiment as a Nonlinear Polya Urn Process
Quality as a Speech-Act CI and Presuppositions
Preliminary Evaluation of Discovered-Rule-Filtering Methods
Advanced Methodologies for Bayesian Networks - Second International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015. Proceedings
Developing an Input-Output Table Generation Algorithm Using a Japanese Trade Database: Dealing with Ambiguous Export and Import Information
Expressive Small Clauses in Japanese
Tying Free Choice in Questions to Distributivity
Characterized Argument Agent for Training Partner
Basket Analysis on Meningitis Data
Overview of Benchmark Datasets and Methods for the Legal Information Extraction/Entailment Competition (COLIEE) 2024
Designing Intelligent Sleep Analysis Systems for Automated Contextual Exploration on Personal Sleep-Tracking Data
Coordinating and Subordinating Dependencies
Teachers' Impressions on Robots for Therapeutic Applications
Social Interaction as Knowledge Trading Games
ArgPROLEG: A Normative Framework for the JUF Theory
CAPTAIN at COLIEE 2024: Large Language Model for Legal Text Retrieval and Entailment
STBM: Stochastic Trading Behavior Model for Financial Markets
Support System for Creative Activity by Information Acquirement through Internet
The Evolution of Writing Systems: Against the Gelbian Hypothesis
Segment Information Extraction from Financial Annual Reports Using Neural Network
Strict Comparison and Weak Necessity: The Case of Epistemic Yào in Mandarin Chinese
Preliminary Notes on the Sequential Organization of Smile and Laughter
Early Diagnosis Service for Latent Patients of Incurable Diseases
The Influence of Story Creating Activities While Appreciating Abstract Artworks
Analysis of COLIEE Information Retrieval Task Data
Towards a Probabilistic Analysis for Conditionals and Unconditionals
Gated Extra Memory Recurrent Unit for Learning Video Representations
On Factive Islands: Pragmatic Anomaly vs. Pragmatic Infelicity
Logic and Engineering of Natural Language Semantics (LENLS) 11
A Presuppositional Analysis of Definite Descriptions in Proof Theory
WUENIC - A Case Study in Rule-Based Knowledge Representation and Reasoning
Strategy and Spatial Representations for Improving Navigation Ability Without Vision Using Sensory Substitution Devices
Solving the Individuation and Counting Puzzle with \lambda -DRT and MGL - If I Can Get a Book from the Library, It Saves Me from Needing to Buy It in the Bookshop
Computing the Semantics of Plurals and Massive Entities Using Many-Sorted Types
New Frontiers in Artificial Intelligence - JSAI-isAI International Workshops, JURISIN, AI-Biz, LENLS, Kansei-AI, Yokohama, Japan, November 10-12, 2019, Revised Selected Papers
Translational Symmetry in Subsequence Time-Series Clustering
First International Workshop on Advanced Methodologies for Bayesian Networks
Sampling-Based Stream Mining for Network Risk Management
Overview of Awarded Papers: The 21st Annual Conference of JSAI
Detecting Short-Term Mean Reverting Phenomenon in the Stock Market and OLMAR Method
Aggregating and Analyzing Articles and Comments on a News Website
On the Central Role of Mailing Lists in Open Source Projects: An Exploratory Study
Evaluation of Using Human Relationships on the Web as Information Navigation Paths
The Fourth International Workshop on Juris-Informatics
Generating Guiding Principles: Evaluating Large Language Models for Complex German Legal Summaries
New Frontiers in Artificial Intelligence - JSAI-isAI 2012 Workshops, LENLS, JURISIN, MiMI, Miyazaki, Japan, November 30 and December 1, 2012, Revised Selected Papers
Classification of Accessibility and Synergy in the Tokyo Area Multimodal Transportation Network
Information Extraction/Entailment of Common Law and Civil Code
A Comparative Study of Similarity Measures for Time Series Classification
Belief Re-Revision in Chivalry Case
Analyzing Logical Fallacies in Large Language Models: A Study on Hallucination in Mathematical Reasoning
Variables Extraction in Natural (English) Language Through Possessive Relationships
Annotating Syntax and Lexical Semantics With(out) Indexing
Discontinuity in Potential Sentences in Japanese
Assessing Long-Term Care Resource Distribution in China by Simulating Care-Seeking Behaviors
Tracking Down Disjunction
Developing Mining-Grid Centric e-Finance Portals for Risk Management
Truth Conditionals and Use Conditionals: An Expressive Modal Analysis
Proper Names in Interaction
Presuppositions and Comparison Classes in Japanese hodo-equatives
Product Portfolio Optimization for LTV Maximization
The HP 3000 computer system
Introduction to the SYMBOL 2R programming language
High-level language translation in SYMBOL 2R
Program execution in the SYMBOL 2R computer
A report on the value of some advanced high level language operators on current sequential computers
A hierarchical machine model for the semantics of programming languages
Instruction architecture of an aerospace multiprocessor
The internal machine
GLOSS: A high level machine
Proceedings of the ACM-IEEE Symposium on High-Level-Language Computer Architecture, HLLCA 1973, College Park, Maryland, USA, November 7-8, 1973
The logical structure of the memory resource in the SYMBOL-2R computer
The all applications digital computer
Structure of a Polish String language for an Algol 60 language processor
Design of an aerospace computer for direct HOL execution
On the time required for retention
Two PARALLEL EULER run time models: The dangling reference, impostor environment, and label problems
The PL/EXUS language and virtual machine
A high order language optimal execution processor Fast Intent Recognition System (FIRST)
Structure of a direct high-level language processor
Implementation of a tagged architecture for block structured languages
Optimization of Second-Life Battery Energy Storage System in Buildings with Photovoltaic Panels: A Norwegian Case Study
Lessons Learned from the ADRENALIN Load Disaggregation Challenge
A Tool for Synthesizing and Implementing Medium Voltage Load Profiles
Smart Energy Management System with Individual Load Monitoring
Evaluating the Potential for Developing Local Energy Communities in Sweden: Case Studies at Jättesten and Chalmers Campus
Managing Risk in Distribution Systems with Solar Generation: A Case Study Using the MATPOWER Optimal Scheduling Tool
Data-Driven Optimal Air-Balancing Control for Multizone Ventilation Systems with Design-to-Operation Adaptation
A Visualization Framework for Exploring Multi-agent-Based Simulations: Case Study of an Electric Vehicle Home Charging Ecosystem
Comparison of Outages Trends and Statistics in Nordic Countries Across Distribution Networks and Their Impacts
Energy Informatics - First Nordic Energy Informatics Academy Conference, EIA Nordic 2025, Stockholm, Sweden, August 20-22, 2025, Proceedings, Part II
The Irish Highway Network: A Novel Test Instance for the Charging Station Location Problem
Energy Efficiency Optimization in Plastic Pyrolysis: A Data-Driven Modeling Study
A Data-Driven Analysis of Unscheduled Flows in the European Power System
Economic and Environmental Benefits of Centralized MILP Optimization of EV Fleet Charging
A Dynamic Semantic Data Modeling Approach: Application to Flexible HVAC Zones
Machine Learning-Based Cyberattack Detection in Power Data
Rooftop Irregularity Segmentation in Aerial Imagery Using Deep Learning
Data-Driven Correlated Uncertainty Sets for PV Generation and Electricity Demand
Towards ICT-Enabled Multi-agent Based Operations in Local Energy Communities: A Proof of Concept
Scheduling Heat Pumps for Balancing Thermal Storage and Grid Export
Digitalization in District Heating: Comparative Insights from Denmark and Sweden on Adoption, Barriers, and Value Creation
Energy Informatics - First Nordic Energy Informatics Academy Conference, EIA Nordic 2025, Stockholm, Sweden, August 20-22, 2025, Proceedings, Part I
A Parametric Optimization Approach for Enviro-Economic Evaluation of Energy Renovation Strategies - A Case Study on a Congregation House in Southern Sweden
Examining the Role of Digital Technologies and Artificial Intelligence in Climate Resilience and Energy Adaptation Within Energy-Intensive Industries
Decentralized Reinforcement Learning for Adaptive Power Sharing in Hybrid DC Microgrids
Business Model Innovation in Data Competitions: Insights from the 2024 ADRENALIN Load Disaggregation Challenge
Development of an Automated 3D Building Modeling Method and Urban-Scale Analysis of Heating and Cooling Loads
Advancing Non-intrusive Load Monitoring: Insights from the Winning Algorithms in the ADRENALIN 2024 Load Disaggregation Competition
ADRENALIN: Energy Data Preparation and Validation for HVAC Load Disaggregation in Commercial Buildings
Proper Definitions of Micro Grid Metrics are Needed! - A Generalizable Framework
Agent-Based Flexibility Aggregation for a Distributed Redispatch
Autonomous Air Quality Monitoring System with Photovoltaic Energy Harvesting: A Sustainable Approach for Public Policies
Solar-Geothermal Power "HGS-ORC" System for Energy Co-generation: Energy, Economic and Environmental Analysis: Algerian Case
Comparison of Three Algorithms for Low-Frequency Temperature-Dependent Load Disaggregation in Buildings Without Submetering
Enhancing EVRP Benchmark Instances with Energy Estimates
Peer-to-Peer Energy Management Model for Residential Homes
Demand-Side Frequency Response Based on District Heating System Integrated with Heat Pump
A Multi-stage Deep Learning Framework for Short-Term Electricity Load Forecasting
Globally Optimal Scheduling for Industrial Energy Cost Reduction Under Dynamic Electricity Pricing
Battery Energy Storage Integration with BIPV Systems: A Multi-scenario Economic Analysis and Optimization
How Clean is the Air You Breathe During Urban Walk? A Case Study of Central London
Variational Quantum Eigensolver-Based CaaS Business Model for V2G
Towards a Taxonomy for Application of Machine Learning and Artificial Intelligence in Building and District Energy Management Systems
Solaris AI: Enhancing Solar Energy Forecasting with Generative AI and Deep Learning
Towards the Integration of Data Space Technology in Hydrogen Research Workflows
Evaluating Retrofit Strategies and Decentralized Systems for the Transition to Low-Temperature District Heating: A Simulation-Based Case Study in Borlänge, Sweden
Electric Vehicle Based Virtual Electricity Network (EVEN) Solution for Performance Enhancement in Distribution Networks
Green Hydrogen Under Uncertainty: Evaluating Power-to-X Strategies Using Agent-Based Simulation and Multi-criteria Decision Framework
Leveraging Generative AI and Semantic Data for Improved Operation of a Real-Life Building
Development of an LSTM-Based Model for High-Resolution Downsampling and Reconstruction of HVAC Chiller Flow Data
Parametric Study Model for Observing Exergy Balance Through the Series of Subsystems in District Heating
Research on 3D Modeling for Thermal Environment Simulation Using Publicly Available Map Data
Synthesizing Fault Localization Datasets
Semantic Loss in Autoencoder Tree Reconstruction Based on Different Tuple-Based Algorithms
Watermarking Based on Krawtchouk Moments for Handwritten Document Images
Expanding MLkNN Using Extended Rough Set Theory
Content-Based Image Retrieval for Surface Defects of Hot Rolled Steel Strip Using Wavelet-Based LBP
A Restriction-Based Approach to Generalizations
Irony Detection Based on Character Language Model Classifiers
An Improved Fault Diagnosis Scheme Based on a Type-2 Fuzzy Classification Algorithms
Feature Extraction of Automatic Speaker Recognition, Analysis and Evaluation in Real Environment
Convolutional Neural Networks as Support Tools for Spinocerebellar Ataxia Detection from Magnetic Resonances
Angle-Based Model for Interactive Dimensionality Reduction and Data Visualization
Improvements to the IntiGIS Model Related to the Clustering of Consumers for Rural Electrification
Deep Neural Network to Detect Gender Violence on Mexican Tweets
Progress in Artificial Intelligence and Pattern Recognition - 7th International Workshop on Artificial Intelligence and Pattern Recognition, IWAIPR 2021, Havana, Cuba, October 5-7, 2021, Proceedings
Classification of Neuron Sets from Non-disease States Using Time Series Obtained Through Nonlinear Analysis of the 3D Dendritic Structures
Balancing of Samples in Class Hierarchy
Individual Finger Movement Recognition Based on sEMG and Classification Techniques
Oversampling Method Based Covariance Matrix Estimation in High-Dimensional Imbalanced Classification
A Knowledge-Based User Feedback Classification Approach for Software Support
Comparison of Root Mean Square Index and Hilbert-Huang Transform for Detection of Muscle Activation in a Person with Elbow Disarticulation
Evaluation of GOI Detectors in EGG Signals Assuming Different Models for the Pulse Length Variability
Echo State Networks for the Prediction of Chaotic Systems
Electroencephalographic Signals and Emotional States for Tactile Pleasantness Classification
Multilayer-Based HMM Training to Support Bearing Fault Diagnosis
Semantic Segmentation of Radio-Astronomical Images
Indirect Condition Monitoring of the Transmission Belts in a Desalination Plant by Using Deep Learning
Diagnosis of Alzheimer Disease Progression Stage from Cross Sectional Cognitive Data by Deep Neural Network
Effectiveness of Blind Face Restoration to Boost Face Recognition Performance at Low-Resolution Images
Variable Selection for Journal Bearing Faults Diagnostic Through Logical Combinatorial Pattern Recognition
Low-Resolution Face Recognition with Deep Convolutional Features in the Dissimilarity Space
A Machine Learning Based Approach for Estimation of the Lung Affectation Degree in CXR Images of COVID-19 Patients
Entropy-Based Relevance Selection of Independent Components Supporting Motor Imagery Tasks
Predictive Model for Specific Energy Consumption in the Turning of AISI 316L Steel
Data Drive Fuzzy Cognitive Map for Classification Problems
Detecting EEG Dynamic Changes Using Supervised Temporal Patterns
Prediction of Diabetes Mortality in Mexico City Applying Data Science
Pattern Recognition Strategies to Classify Traced Neurons
Imbalanced Data Classification Using a Relevant Information-Based Sampling Approach
Progress in Artificial Intelligence and Pattern Recognition - 8th International Congress on Artificial Intelligence and Pattern Recognition, IWAIPR 2023, Varadero, Cuba, September 27-29, 2023, Proceedings
Image Segmentation Applied to Line Separation and Determination of GPN2 Protein Overexpression for Its Detection in Polyacrylamide Gels
Feature Selection with Class Hierarchy for Imbalance Problems
SqueezerFaceNet: Reducing a Small Face Recognition CNN Even More via Filter Pruning
Evaluating the Max-Min Hill-Climbing Estimation of Distribution Algorithm on B-Functions
Assessing the Relationship Between Binarization and OCR in the Context of Deep Learning-Based ID Document Analysis
A Proposal of Metric for Improving Remaining Useful Life Prediction in Industrial Systems
A Reinforcement Learning Approach for the Report Scheduling Process Under Multiple Constraints
Computational Capabilities of Adler Oscillators Under Weak Local Kuramoto-Like Coupling
Video and Image Complexity in Human Action Recognition
Fuzzy Granulation for Feature Extraction in EEG-Based Stress Pattern Recognition
A New Proposal for Detection and Location of Cyberattacks in Industrial Processes
Underwater Image Enhancement Using Adaptive Algorithms
Movement Identification in EMG Signals Using Machine Learning: A Comparative Study
Improving the Robustness of DCT-Based Handwritten Document Image Watermarking Against JPEG-Compression
Extracting Composite Summaries from Qualitative Data
Evaluation of Hepatic Fibrosis Stages Using the Logical Combinatorial Approach
A Robust Fault Diagnosis Strategy in Mechanical Systems Using Pythagorean Fuzzy Sets
Detection of Malicious Bots Using a Proactive Supervised Classification Approach
A Metaphorical Text Classifier to Compare the Use of RoBERTa-Large, RoBERTa-Base and BERT-Base Uncased
Gait Speed Estimation Based on Artificial Neural Network: Comparison with the Application of the Inverted Pendulum Model
Medical Image Watermarking with Separable Moments
Sub Band CSP Using Spatial Entropy-Based Relevance in MI Tasks
Decision Rules for Radar Detection in the Moments Space with Arbitrary Correlation Degree and Constant False Alarm Rate
An M-SALD_AHP and GIS-Based Approach to Watershed Analysis During the Development of Small and Large-Scale Hydraulic Structure Construction Projects
A Fuzzy Logic Proposal for Diagnosis Multiple Incipient Faults in a Power Transformer
Progress in Artificial Intelligence and Pattern Recognition - 6th International Workshop, IWAIPR 2018, Havana, Cuba, September 24-26, 2018, Proceedings
Multivariate Cuban Consumer Price Index Database, Statistic Analysis and Forecast Baseline Based on Vector Autoregressive
Medical Equipment Replacement Prioritization Indicator Using Multi-criteria Decision Analysis
Covariance Matrix Adaptation Evolution Strategy for Convolutional Neural Network in Text Classification
A Hybrid Approach for Spanish Emotion Recognition Applying Fuzzy Semantic Processing
Fuzzy Employees Shuttle Bus Routing Problem. A Practical Application
A Parallel Approach for RegularSearch Algorithm
Consumer Price Index Forecasting Based on Univariate Time Series and a Deep Neural Network
Intra-day Population Fluxes from Mobile Phone Data in Havana, Cuba
An Integrated Deep Neural Network for Defect Detection in Dynamic Textile Textures
Scalable Generalized Multitarget Linear Regression With Output Dependence Estimation
Polarity Prediction in Tourism Cuban Reviews Using Transformer with Estimation of Distribution Algorithms
Data Mining Techniques in Normal or Pathological Infant Cry
Weighted t-Distributed Stochastic Neighbor Embedding for Projection-Based Clustering
Identifying Twitter Users Influence and Open Mindedness Using Anomaly Detection
Enhancing License Plate Recognition in Videos Through Character-Wise Temporal Combination
Robust K-SVD: A Novel Approach for Dictionary Learning
Calcified Plaque Detection in IVUS Sequences: Preliminary Results Using Convolutional Nets
MinimalAI: Brain Hemorrhage Detection in Images Through Minimalist Machine Learning Approach
A Robust Preprocessing Method for Measuring Image Visual Quality Using Log-Polar FFT Features
Harnessing Key Phrases in Constructing a Concept-Based Semantic Representation of Text Using Clustering Techniques
SVM Based EVM for Open Space Problems
Training Neural Networks by Continuation Particle Swarm Optimization
A Novel Method for Filtering a Useful Subset of Composite Linguistic Summaries
A Novel Approach for Detection and Location of Cyber-Attacks in Water Distribution Networks
Layer-Wise Relevance Propagation in Multi-label Neural Networks to Identify COVID-19 Associated Coinfections
Multiple Instance Learning Selecting Time-Frequency Features for Brain Computing Interfaces
Customer Segmentation Using Multiple Instance Clustering and Purchasing Behaviors
Robust MCU Oriented KWS Model for Children Robotic Prosthetic Hand Control
A Comparison of Some Gradient Threshold Estimators for the Nonlinear Diffusion of Perona-Malik. A Novel Proposal to Improve Edges Detection in Mammography Images
Drone Navigation and License Place Detection for Vehicle Location in Indoor Spaces
Exploring Local Deep Representations for Facial Gender Classification in Videos
Climatic Factors that Impact the Consumption Patterns Tame of Water. A Case of Study
Student Desertion Prediction Using Kernel Relevance Analysis
Economic Feasibility of Projects Using Triangular Fuzzy Numbers
Intelligent Data Analysis to Calculate the Operational Reliability Coefficient
Interpretable Diagnosis of ADHD Based on Wavelet Features and Logistic Regression
A Novel Initial Population Construction Heuristic for the DINOS Subgroup Discovery Algorithm
A Comparative Study of Deep Learning Methods for Brain Magnetic Resonance Image Reconstruction
Multi-horizon Scalable Wind Power Forecast System
A New Approach for Fault Diagnosis of Industrial Processes During Transitions
Automated System for the Detection of Lung Nodules
Improving Explanatory Power of Machine Learning in the Symbolic Data Analysis Framework
Accelerated Proximal Gradient Descent in Metric Learning for Kernel Regression
Evaluation of XAI Methods in a FinTech Context
A Hybrid Brain-Computer Interface using Extreme Learning Machines for Motor Intention Detection
Application of a Generalized Regression Neural Network to the Estimation of Average Gait Speed
Multi-graph Frequent Approximate Subgraph Mining for Image Clustering
Multimodal Alzheimer Diagnosis Using Instance-Based Data Representation and Multiple Kernel Learning
A Proposal of Condition Monitoring with Missing Data and Small-Magnitude Faults in Industrial Plants
Towards Automatic Principles of Persuasion Detection Using Machine Learning Approach
Identification of Non-linear Chemical Systems with Neural Networks
A Survey on the Methods to Determine the Sensitivity of Textual Documents: Solutions and Problems to Solve
Automatic Classification of Diabetic Foot Ulcers Using Computer Vision Techniques
Offline Writer Identification and Verification Evaluation Protocols for Spanish Database
A Wide 2D Median Filter for GPU Devices
Peripheral Nerve Segmentation in Ultrasound Images Using Conditioned U-Net
Relevance of Filter Bank Common Spatial Patterns Using Multiple Kernel Learning in Motor Imagery
Speeding up High Resolution Palmprint Matching by Using Singular Points
Enhancing Spanish Aspect-Based Sentiment Analysis Through Deep Learning Approach
Hybrid Selection of Breast Cancer Risk Factors in Cuban Patients
Good Negative Sampling for Triple Classification
Authenticity Assessment of Cuban Banknotes by Combining Deep Learning and Image Processing Techniques
Proactive Forest for Supervised Classification
Improved Margin Sampling for Active Learning
Accurate Non-rigid Object Segmentation in Medical Images by Fusing Statistical Features with Structural Features