yusuke1997/dblp-id-title huggingface dataset:
Mining Typhoon Knowledge with Neural Networks
A Multi-population Genetic Algorithm for UAV Path Re-planning under Critical Situation
Adaptive and Opportunistic Exploitation of Tree-Decompositions for Weighted CSPs
Textured Image Retrieval by the Modal Analysis of Quantized Spectral Point Patterns
I-see: an AI-tool for image understanding
A Semantic Web Based Architecture for Assessment Analytics
Machine Learning Approach for Infant Cry Interpretation
CFGAT: A Coarse-to-Fine Graph Attention Network for Semi-supervised Node Classification
Visual Relocalization Using Long-Short Term Memory Fully Convolutional Network
The Application of a Multi-Modal Preferential Logic to the Design of Rational Agents
Knowledge based process scheduling on symmetric multiprocessors
A Technique and a Tool to Detect Emergent Behavior of Distributed Systems Using Scenario-Based Specifications
Constraint-based Vehicle Configuration: A Case Study
Enhancing the OpenAPI Ontology with Asynchronous Service Interaction Descriptions
sUAS and Machine Learning Integration in Waterfowl Population Surveys
Nonparametric Different-Feature Selection Using Wasserstein Distance
Probabilistic Argumentation Frameworks with MetaProbLog and ConArg
Parameterised Treewidth for Constraint Modelling Languages
Distilling Classification Models from Cross Validation Runs: An Application to Mass Spectrometry
Modeling and Recognition of Gesture Signals in 2D Space: A Comparison of NN and SVM Approaches
Distinguishing Mislabeled Data from Correctly Labeled Data in Classifier Design
A Brief Survey on Smart Community and Smart Transportation
Trolls Identification within an Uncertain Framework
Classifying Sentence-Based Summaries of Web Documents
Progressive rules: a method for representing and using real-time knowledge
Offline Reinforcement Learning Via Optimal Transport And Improved Performance Difference Theorem
Learning Optimal Values from Random Walk
Knowledge based invocation of software methods and tools
Multi-Agent Opportunistic Planning and Plan Execution
Latent Retrieval for Large-Scale Fact-Checking and Question Answering with NLI training
Interpreting Social Media-Based Substance Use Prediction Models with Knowledge Distillation
An Adaptive Bidding Strategy in Multi-round Combinatorial Auctions for Resource Allocation
The Deception Detection and Restraint in Multi-agent System
Multicriteria Reasoning Considering Reliability or Availability
SPIN: a sequential pipelined neurocomputer
ASLANN: a tool for the design of composite neural systems
A Dynamic Bayesian Network for Handling Uncertainty in a Decision Support System Adapted to the Monitoring of Patients Treated by Hemodialysis
Finding and learning explanatory connections from scientific texts
PKIP: Feature Selection in Text Categorization for Item Banks
A Global Discriminant Joint Training Framework for Robust Speech Recognition
Some Neighbourhood Approaches for the Antenna Positioning Problem
Intelligent Order-Based Method for Synthesis of NRF Spectra and Detection of Hazardous Materials
Trueskin: Towards Fair and Accurate Skin Tone Recognition and Generation
An Information Retrieval System for the Analysis of Systematic Defects in VLSI
CDM: an approach to learning in text categorization
Optimizing Power Peaks in Simple Assembly Line Balancing Through Maximum Satisfiability
An Intelligent Tool for UNIX Performance Tuning
MOPNAR-II: An Improved Multi-Objective Evolutionary Algorithm for Mining Positive and Negative Association Rules
Bayesian 3D Human Motion Capture Using Factored Particle Filtering
Explanation-Based Decision Support in Real-Time Situations
Explaining Black-box Classification Models with Arguments
High performance algorithms for object recognition problem by multiresolution template matching
A Supervised Feature Selection Algorithm through Minimum Spanning Tree Clustering
Global Attention Augmentation Ghost Module: More Features from Lightweight Global Attention Extraction
A New Method for Computing Stable Models in Logic Programming
A Briefing Tool that Learns Individual Report-Writing Behavior
Bansor: Improving Tensor Program Auto-Scheduling with Bandit Based Reinforcement Learning
Towards Privacy-Aware and Explainable Alzheimer's Diagnosis Using Lime and Federated Learning
Itemset Mining in Noisy Contexts: A Hybrid Approach
Deep Captioning Hashing Network for Complex Scene Image Retrieval
A Semi-Supervised Learning Method for Remote Sensing Data Mining
Morphological Classification of Neurons Based Deep Residual Multiscale Convolutional Neural Network
An Interactive Train Scheduling Workbench Based on Artificial Intelligence
A Concise Social Network Representation with Flow Hierarchy Using Frequent Interactions
Dynamic Email Organization via Relevance Categories
On Effective XML Clustering by Path Commonality: An Efficient and Scalable Algorithm
A Decision Support Tool for Energy Storage Optimization
iCare - A User Centric Approach to the Development of Assistive Devices for the Blind and Visually Impaired
Iterative development life cycle (IDLC): a management process for large scale intelligent system development
Fuzzy Expert System Shells
Resolution Strategies for Focusing a Reason Maintenance System
Box Consistency through Weak Box Consistency
Stochastic and distributed anytime task scheduling
RMkNN and KNORA-IU: Combining Imbalanced Dynamic Selection Techniques for Credit Scoring
The Community Structure of Constraint Satisfaction Problems and Its Correlation with Search Time
Enrichment of Features for Malware-Related Sentence Classification using External Knowledge
Concrete Browsing of a Graphical Toolkit Library
Mode Committee: A Novel Ensemble Method by Clustering and Local Learning
Community Evolution Model for Network Flow Based Multiple Object Tracking
Integral AI-based planning for management of WSNs in military operations
Towards a Holistic Evaluation of Novel AI Accelerators: Theory, Practice and Ethics
A multi-agent architecture for mobile robot navigation control
Dynamically Scoring Rhymes with Phonetic Features and Sequence Alignment
scikit-fda: Computational Tools for Machine Learning with Functional Data
HHGFD: Graph Fraud Detection Through Heterogeneity and Heterophily Characterization
Building embedded languages and expert system shells in Prolog
Measuring Machine Learning Robustness in front of Static and Dynamic Adversaries
Uncertainty Management in Personalized Recommendation for E-commerce
Concealed Objects in a Scene: A Closer Look at the Localization Block of Object Detection Models
A Lipreading Model Based on Fine-Grained Global Synergy of Lip Movement
Multi-task Scale Adaptive Ladder Network for Crowd Counting
Incorporating Background Knowledge for Subjective Rule Evaluation
Robust Airport Gate Assignment
Compositional Neural Distance Field with Latent Code Embedding for Dynamic Objects
Revising default theories
Cross-aligned and Gumbel-refactored Autoencoders for Multi-view Anomaly Detection
Domain Model for Constructing a Knowledge Based System
Automated Diagnosis of Non-Native English Speaker's Natural Language
Progress: An Approach for Defining and Monitoring Non-Deterministic Design-to-Time Methods
Strategy of Perception and Temporal Representation of Beliefs
Hybrid Learning Neuro-Fuzzy Approach for Complex Modeling Using Asymmetric Fuzzy Sets
Solving Symmetrical CSPs with an Asymmetrical Cost Function
Metalevel and temporal reasoning in KNOWBEL: features and implementation
Models and Methods for Discovering Automatable Activity Segments in a Service--Oriented Environment
Domain Ontology and Galois Lattice Structure for Query Refinement
A Clustering Based Approach to Efficient Image Retrieval
Time-Frequency Convolutional Neural Network for Automatic Sleep Stage Classification Based on Single-Channel EEG
A Scalable Problem-Solver for Large Knowledge-Bases
Counterfactual Explanation Through Constraint Relaxation
Recognition of Activities of Daily Living
Learning Optimal Fair Scoring Systems for Multi-Class Classification
Unsupervised Greedy Learning of Finite Mixture Models
Adaptive Hybrid Vision Transformer for Small Datasets
An efficient hardware architecture to support complex fuzzy reasoning
FEDBS: Learning on Non-IID Data in Federated Learning using Batch Normalization
Cloud Parallel Genetic Algorithm for Gene Microarray Data Analysis
32nd IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2020, Baltimore, MD, USA, November 9-11, 2020
A tool for building decision-support-oriented expert systems
Mobile Robotics Planning Using Abstract Markov Decision Processes
Solve a Constraint Problem without Modeling It
A microservices-based iterative development approach for usable, reliable and explainable A.I.-infused medical applications using R.U.P
Learning to Identify Interesting Links in Intelligent Information Discovery
Utilizing Regularization for Generating Linear Pseudo-Boolean Constraint Satisfaction Problems
A formal semantics for mOPS5
Ensemble vs. Data Sampling: Which Option Is Best Suited to Improve Classification Performance of Imbalanced Bioinformatics Data?
Discrepancy-Based Method for Hierarchical Distributed Optimization
Refinement of the structure of knowledge base by learning
Exploiting Macro-Actions in Learning GPT-Based General Planning Policies
Adaptive Shared-Filter Ordering for Efficient Multimedia Stream Monitoring
Subsumption and Incompatibility between Principles in Ranking-Based Argumentation
FIP: A Fast Planning-Graph-Based Iterative Planner
Pattern Theoretic Knowledge Discovery
Natural Language Edit Controls: Constrained Natural Language Devices in User Interfaces
Quanti-Qualitative Analysis of a Memetic Algorithm to Optimize Product Line Architecture Design
Retinal Artery/Vein Classification Based on Multi-Scale Category Fusion
Multi-Criterion Active Learning in Conditional Random Fields
Recurrent Neural Networks for Synthesizing Linear Control Systems via Pole Placement
New Improvements of Immune Inspired Optimizer SILO
A Dynamic Scheduling Benchmark: Design, Implementation and Performance Evaluation
Testing Massive Modularity Hypothesis through the Selection Task: Content of Rules, Forms of Reasoning, or Pragmatic Expectations? Formal, Content, and Pragmatic Aspects in Human Reasoning
Discriminative Graph Convolutional Networks for Semi-supervised Node Classification
GLmser: A GAN-Lmser Network for Image-to-Image Translation
A Numeral and Affective Knowledge Enhanced Network for Aspect-based Financial Sentiment Analysis
PID-filtered Negotiation for Decision Making in Dynamic Coverage Problem
A Hybrid Approach to Concept Extraction and Recognition-Based Matching in the Domain of Human Resources
Efficient Prototype Selection Supported by Subspace Partitions
Assessment of the reliability of AI programs
Exploration of Few-Shot Learning with the Constrained State-Preserved Extreme Learning Machine
False Positive Detection and Prediction Quality Estimation for LiDAR Point Cloud Segmentation
A General Privacy Loss Aggregation Framework for Distributed Constraint Reasoning
Interleaving Planning with Execution using the Success Probability - Preliminary Report
Semantic Noise: Privacy-Protection of Nominal Microdata through Uncorrelated Noise Addition
Graph Partition Convolution Neural Network for Pedestrian Trajectory Prediction
Rule-Based Door Detection Using Laser Range Data in Indoor Environments
An End-to-End Configuration-Based Framework for Automatic SWS Composition
METAPHOR - A Multiagent Architecture using IoT and Classification Algorithms for Referral Postoperative Patients
Progressive Stochastic Search for Solving Constraint Satisfaction Problems
FRAGAN-VSR: Frame-Recurrent Attention Generative Adversarial Network for Video Super-Resolution
28th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2016, San Jose, CA, USA, November 6-8, 2016
Swarm Based Ensembles for Time Series Residual Forecasting
2-C3OP: An Improved Version of 2-Consistency
Query Answering from Traditional Dance Videos: Case Study of Zapin Dances
EDSC: Event Detection with Superior Conceptual Information
The state-of-art AI research in Japan
Human-Agent Teamwork for Distributed Team Training
Convolutional Neural Networks over Control Flow Graphs for Software Defect Prediction
Combining Visual and Acoustic Features for Bird Species Classification
Fence GAN: Towards Better Anomaly Detection
Combinatorial Optimization for Spacecraft Scheduling
A General Technique for Plan Repair
Discovering Program's Behavioral Patterns by Inferring Graph-Grammars from Execution Traces
Age-Suitability Prediction for Literature Using a Recurrent Neural Network Model
MILP for the Multi-objective VM Reassignment Problem
PICS: Parallel Index-based Search Algorithm for Coalition Structure Generation
Aggregated Dataset vs. Ensemble Learning for Spatial Transferability in Water Demand Forecasting
Optimizing Value of Information Over an Infinite Time Horizon
Enhancing the Robustness/Efficiency of Local Search Algorithms for SAT
Bounded Suboptimal Token Swapping
Gorthaur: A Portfolio Approach for Dynamic Selection of Multi-Armed Bandit Algorithms for Recommendation
Towards Interpretable Feature Representation for Domain Adaptation Problem
KON^3: A Clinical Decision Support System, in Oncology Environment, Based on Knowledge Management
On the Numerical Representation of Labeled Graphs with Self-Loops
A User Customizable X Window System Interface for Simulation of Neural Networks
Personalized News Filtering and Summarization on the Web
A Framework to Support the Selection of Software Technologies by Search-Based Strategy
Opinion Spam Detection Based on Heterogeneous Information Network
Two-Layer Protein Structure Comparison
A Knowledge Representation and Reasoning Support for Modeling and Querying Video Data
Attn-CommNet: Coordinated Traffic Lights Control On Large-Scale Network Level
A Comparison of Low-Shot Learning Methods for Imbalanced Binary Classification
Segmental Duration Modeling for Greek Speech Synthesis
Using heuristic-based optimizers to handle the personal computer configuration problems
PEAK: Policy Event Assessment of COVID-19 Cases at the Start of the Pandemic in New York City
Studies on the Effect of Non-coding Segments on the Genetic Algorithm
Combining Text and Graphics for Interactive Exploration of Behavior Datasets
Adversarial Capsule Learning for Network Embedding
IBHYS: a new approach to learn users habits
Solving Constraints over the Reals - A Multi-Solver Approach
Combining partial evaluation and constraint solving: a new approach to constraint logic programming
PTDRLHF: Parameter Tuning Using Deep Reinforcement Learning with Human Feedback
UWrMaxSat: Efficient Solver for MaxSAT and Pseudo-Boolean Problems
Compiling Pseudo-Boolean Constraints to SAT with Order Encoding
Adaptive Spam Filtering Using Dynamic Feature Space
A New Intelligent Traffic Shaper for High Speed Networks
SoMem: A Self-optimizing Memory Network for Distributed Person Re-identification
Building Height Restoration Method of Remote Sensing Images based on Faster RCNN
Probabilistic Matrix Completion
Large Neighbourhood Search for Energy-Efficient Train Timetabling
Granule Based Intertransaction Association Rule Mining
The Ramification Problem in Temporal Databases: Concurrent Execution with Conflicting Constraints
Document-Level Sentiment Knowledge Transfer Network for Aspect Sentiment Triplet Extraction
An Extended Kernel for Generalized Multiple-Instance Learning
Maximizing Network Utilization for SDN Based on Particle Swarm Optimization
Relation Extraction from Texts with Symbolic Rules Induced by Inductive Logic Programming
A Dynamic Reasoning Architecture for Computer Network Management
Learning to Summarize Web Documents Using Social Information
A Supervisory Mask Attentional Network for Person Re-Identification in Uniform Dress Scenes
Approaches and Properties for Aggregating Occupant Preferences
An Attention Mechanism for Neural Answer Selection Using a Combined Global and Local View
An Observation Dimension Weight-Based U-Tree Algorithm
Improving NetFeatureMap-Based Representation through Frequent Pattern Mining in a Specialized Database
BaLinda Lisp: a parallel list-processing language
TASAM: Terrain-and-Aware Segment Anything Model for Temporal-Scale Remote Sensing Segmentation
High-level reasoning in cooperative knowledge system
Improving Lotos Simulation Using Constraint Propagation
A Multi-objective Genetic Algorithm for Community Detection in Networks
RecOnto: An Ontology to Model Recommender Systems and its Components
Formalizing and Automating Component Reuse
Machine Learning for Software Engineering: Case Studies in Software Reuse
The Concept of Criticality in Reinforcement Learning
Neural logic programming
Model Training with Sparsity Loss for Compressed Attention
An Educational Tool for High-Level Interaction with Bayesian Networks
PMA-Net: Parallel Mixed Attention Network for Predicting Intracranial Aneurysm Rupture Risk
Path-aware Multi-hop Question Answering Over Knowledge Graph Embedding
Enhancing Automatic Speech Recognition Quality with a Second-Stage Speech Enhancement Generative Adversarial Network
IEEE 30th International Conference on Tools with Artificial Intelligence, ICTAI 2018, 5-7 November 2018, Volos, Greece
Skyline Computation and Maintenance over Imperfect Databases: A Marginal-Points-Based Approach
Iterative Rule Simplification for Noise Tolerant Inductive Learning
Automating Elevator Design with Satisfiability Modulo Theories
A Clustering-Based Approach to the Mining of Analogical Proportions
Effects of Integrated Instance-Random-Sampling and Feature Reduction on Classifiers Performance and Training Speed
Comparing Keyword Extraction Techniques for WEBSOM Text Archives
Object-Oriented Representation and Hierarchical Reinforcement Learning in Infinite Mario
Scheduling for the Dedicated Machine Constraint in Semiconductor Manufacturing Using a Goal-Oriented Approach
Portfolio Methods for Optimal Planning: An Empirical Analysis
On Domain Generalization for Batched Prediction: the Benefit of Contextual Adversarial Training
Rewriting Minimisations for Efficient Ontology-Based Query Answering
Cross-Lingual Transfer Learning for Complex Word Identification
Partial Move A*
SLAOE-NN: A Deep Network with Structure Learning for Aspect and Opining co-Extraction for NLP
A fuzzy information retrieval method using fuzzy-valued concept networks
Identifying relevant descriptors for tweet sets
Real-Time 3D Head Tracking Based on Time-of-Flight Depth Sensor
An SVM Plait for Improving Affect Recognition in Intelligent Tutoring Systems
A Knowledge Representation System for Integration of General and Case-Specific Knowledge
On Outsourcing Artificial Neural Network Learning of Privacy-Sensitive Medical Data to the Cloud
Revelation of Task Difficulty in Al-aided Education
NP-SOM: Network Programmable Self-Organizing Maps
A Fuzzy Approach to Modeling the Knowledge of Decision-Makers
DRL-TA: A Type-aware Task Scheduling and Load Balancing Method based on Deep Reinforcement Learning in Heterogeneous Computing Environment
Blur the Linguistic Boundary: Interpreting Chinese Buddhist Sutra in English via Neural Machine Translation
Mining Functional Aspects from Legacy Code
A Descend-Based Evolutionary Approach to Enhance Position Estimation in Wireless Sensor Networks
ESmodels: An Inference Engine of Epistemic Specifications
Extending Linear Relaxation for User Interface Layout
Quantized Indexing Tree for Frequent Updates over Data Streams
In-Batch Negatives' Enhanced Self-Supervised Learning
Reasonable Conclusions in Fuzzy Reasoning
Practical Application of Support-Based Distributed Search
Definition and Extraction of Causal Relations for QA on Fault Diagnosis of Devices
Persona-Coded Poly-Encoder: Persona-Guided Multi-Stream Conversational Sentence Scoring
Assumption-Based Truth Maintenance in Precense of Temproal Assertions
Intelligent Optimization via Learnable Evolution Model
An Automatic Algorithm Selection Approach for Planning
A Weight Value Initialization Method for Improving Learning Performance of the Back Propagation Algorithm in Neural Networks
Evolving Conditional Value Sets of Cost Factors for Estimating Software Development Effort
A Clustering Algorithm for Correlation Quickest Hub Discovery Mixing Time Evolution and Random Matrix Theory
AccelMD: A Self-Adaptive AI-Enabled Framework for Accelerating Molecular Dynamics Simulations
Learning Maximal Generalized Decision Rules via Discretization, Generalization, and Rough Set Feature Selection
Sentiment Analysis: Towards a Tool for Analysing Real-Time Students Feedback
Deep Learning Approaches for the Protein Scaffold Filling Problem
Customizing Parallel Formulations of Backpropagation Learning Algorithm to Neural Network Architectures : A Summary of Results
Discriminative Mutation Chains in Virus Sequences
Contextual Image Segmentation Based on the Potts Model
Maximizing Paper Spread in Examination Timetabling Using a Vehicle Routing Method
Entropy-Based Term Weighting Schemes for Text Categorization in VSM
Preferred Explanations for Quantified Constraint Satisfaction Problems
Multi-modal Interfaces for Interaction-Communication between Hearing and Visually Impaired Individuals: Problems and Issues
AI in multimedia (panel session)
Accelerating Prototype Selection with Spatial Abstraction
EProbe: An Efficient Subspace Probing Framework
Self-supervised Variational Autoencoder for Recommender Systems
M: An approximate reasoning system
Spatial Outlier Detection: A Graph-Based Approach
Multi-task learning with Attention : Constructing auxiliary tasks for learning to learn
Extrapolating from Limited Uncertain Information to Obtain Robust Solutions for Large-Scale Optimization Problems
Out-of-Class Novelty Generation : An Experimental Foundation
Efficiency validation of fuzzy domain theories using a neural network model
Unsupervised Event Detection in Videos
An Agent-Based Approach for Interpreting Medical Images
Modeling the Multihop Ridematching Problem with Time Windows and Solving It Using Genetic Algorithms
Effective XML Classification Using Content and Structural Information via Rule Learning
Verifying a Real-Time Language with Constraints
INNE: a structured learning algorithm for noisy examples
On the application of stratification to requirement specifications
Learning Multi-Time Delay Gene Network Using Bayesian Network Framework
Fake News Detection by Using Common Latent Semantics Matching Method
Sparse Transformer for Anomaly Detection with Association Discrepancy
DYNORA: a real-time planning algorithm to meet response-time constraints in dynamic environments
Applying Data Mining to Define TSP Asymptotic Time Complexity
A Junction Tree Propagation Algorithm for Bayesian Networks with Second-Order Uncertainties
Automatic Extraction of Synonyms Based on Statistical Machine Translation
A parallel architecture for large scale production systems
Adaptive Phone Orientation Method for Continuous Authentication Based on Mobile Motion Sensors
MTSMAE: Masked Autoencoders for Multivariate Time-Series Forecasting
Optimization of Traffic Lights Timing Based on Multiple Neural Networks
Regressing Controversy of Music Artists from Microblogs
Knowledge Transfer via Dynamic Policy Fusion Between Autonomous Driving Agents
An Experience-Based Approach to Software Project Management
Visualization Support for User-Centered Model Selection in Knowledge Discovery in Databases
Sub-class Recognition from Aggregate Class Labels: Preliminary Results
Hybrid Structure Encoding Graph Neural Networks with Attention Mechanism for Link Prediction
Comparison of Traffic Forecasting Methods in Urban and Suburban Context
Building Secure Survivable Semantic Webs
Evolutionary Neural Network and Visualization for CNN-based Pulmonary Textures Classification
Identifying Significant Places Using Multi-day Call Detail Records
Handling Planning Failures with Virtual Actions
Robust Value-at-Risk Optimization with Interval Random Uncertainty Set
FST-Net: Exploiting Frequency Spatial Temporal Information for Low-Quality Fake Video Detection
Hardware evaluation of KCM
Validating an Online Adaptive System Using SVDD
A Regression-Based Approach Using Integer Linear Programming for Single-Document Summarization
Object Quality Guided Feature Fusion for Person Re-identification
On inducing topologically minimal decision trees