yusuke1997/dblp-id-title huggingface dataset:
27th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2015, Vietri sul Mare, Italy, November 9-11, 2015
Efficient Model-Based Collaborative Filtering with Fast Adaptive PCA
On Learning Multiple Descriptions of a Concept
Issues on deterministic transformation of logic-based program specification
Combining State Detection with Knowledge Transfer for Constrained Multi-objective Optimization
Finding Distinctive Shape Features for Automatic Hematoma Classification in Head CT Images from Traumatic Brain Injuries
Research Paper Recommendation Based on Content Similarity, Peer Reviews, Authority, and Popularity
Design and Development of a Social Intelligence Based Context-Aware Middleware Using BlackBoard
Spatio-Temporal Clustering Approach for Detecting Functional Regions in Cities
Random Walk-Based Top-k Tag Generation in Bipartite Networks of Entity-Term Type
Blur the Eyes of UAV: Effective Attacks on UAV-based Infrastructure Inspection
RGB-D Saliency Detection with 3D Cross-modal Fusion and Mid-level Integration
Task Based Modelling for Problem Solving Strategies
Using MaxSAT to Correct Errors in AES Key Schedule Images
Content-Based Image Retrieval through a Multi-Agent Meta-Learning Framework
Finding Hotspots in Document Collection
Adaptive Workload Orchestration in Pure Edge Computing: A Reinforcement-Learning Model
Compact Representations of Cooperative Path-Finding as SAT Based on Matchings in Bipartite Graphs
Investigating Dynamic Example Selection for ICL-Based Text-to-SPARQL Generation
Combined Model for Sensory-Based and Feedback-Based Task Switching: Solving Hierarchical Reinforcement Learning Problems Statically and Dynamically with Transfer Learning
A Training System Shell for the Workplace
Anytime Reasoning in First-Order Logic
Driver Identification Based on Vehicle Telematics Data using LSTM-Recurrent Neural Network
Combining cellular genetic algorithms and local search for solving satisfiability problems
Watch the Speakers: A Hybrid Continuous Attribution Network for Emotion Recognition in Conversation With Emotion Disentanglement
Epistemic Specifications with Probabilities
Preferential Attachment in Constraint Networks
New Insights into the Propulsion Power Prediction of Cruise Ships
Validation of nonmonotonic knowledge-based systems
DSatz: A Directional SAT Solver for Planning
An Efficient Semantic Segmentation Method using Pyramid ShuffleNet V2 with Vortex Pooling
MP-Draughts: Ordering the Search Tree and Refining the Game Board Representation to Improve a Multi-agent System for Draughts
Learning from Suboptimal Demonstration via Trajectory-Ranked Adversarial Imitation
An efficient hypothetical reasoning system for predicate-logic knowledge-base
Predicting Judicial Decisions: A Statistically Rigorous Approach and a New Ensemble Classifier
Study of interval-valued belief combination with conflicting evidence
Trustworthy AI for Spatio-Temporal Forecasting via Counterfactual Causality
Prediction and Inference in a Partially Hidden Markov-switching Framework with Autoregression. Application to Machinery Health Diagnosis
Experiments in Automatic Programming for General Purposes
Discrete Event Simulation using Event Calculus
Extending Athena: multiple classes and confidence output values
Constrained genetic algorithms and their applications in nonlinear constrained optimization
A Model for Multiple Outcomes Games
An Efficient and Robust Approach for Discovering Data Quality Rules
Events Extraction and Classification for Arabic Information Retrieval Systems
KJ3-a tool for proving formal specifications of rule-based expert systems
MedESM: Improving Clinical Note Readability with a Lightweight Structured Summarization Language Model
Distributed Simulated Re-annealing for Dynamic Constraint Satisfaction Problems
Generative Data Augmentation for Diabetic Retinopathy Classification
Automatic Configuration of Bi-Objective Optimisation Algorithms: Impact of Correlation Between Objectives
15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2003), 3-5 November 2003, Sacramento, California, USA
A Novel Approach for Detecting Community Structure in Networks
A Simulation Framework for Battery Optimization Under Extreme Energy Imbalance Using Machine Learning Forecasting
Genetically breeding populations of computer programs to solve problems in artificial intelligence
A Mobile Automated Skin Lesion Classification System
Diversity-Driven Combination for Grammatical Error Correction
Improving Nogood Recording Using 2SAT
Encoding Partial Constraint Satisfaction in the Semiring-Based Framework for Soft Constraints
Quantifying Features Using False Nearest Neighbors: An Unsupervised Approach
Study for Fusion of Different Sources to Determine Relevance
Subdefinite Models as a Variety of Constraint Programming
Discountings of a Belief Function Using a Confusion Matrix
Adversarial Weighting for Domain Adaptation in Regression
Deep Belief Networks for Spam Filtering
How Does a Camera Look at One 3D CAD Object?
An object-oriented environment for multiple AI paradigms
A Novel Metric for XAI Evaluation Incorporating Pixel Analysis and Distance Measurement
Generating Low Cost Plans under Uncertainty and Temporal Constraints
An Unsymmetrical Dual Cross Search Algorithm for Fast Block-Matching Motion Estimation
A Deep Learning Approach to EEG-Based Diagnosis of Cognitive Skills Impairment: Electrode-Level Analysis Insights
Approaches to the Subnet Generation Problem
Applying Logic Neural Networks to Hand-Written Character Recognition Tasks
Lightweight Detection of Variable Symmetries for Constraint Satisfaction
Event Detection with Cross-Sentence Graph Convolutional Networks
Automatic Fish Classification System Using Deep Learning
Finding Good Starting Points for Solving Structured and Unstructured Nonlinear Constrained Optimization Problems
Detecting Integer Overflow Errors in Java Source Code via Machine Learning
DeComa: Dictionary Enhanced Chinese NER Based on Confidence Estimation
Decision Trees for Probability Estimation: An Empirical Study
Integrating Text Embedding with Traditional NLP Features for Clinical Relation Extraction
Never Ignore the Significance of Different Anomalies: A Cost-Sensitive Algorithm Based on Loss Function for Anomaly Detection
The Role of Theory and Experiment in Language Design--A 15 Year Perspective
A Particle Swarm Optimization for Selective Pickup and Delivery Problem
PC master production scheduling system with task/resource/quantity selection heuristics
Adversarial Examples Detection and Analysis with Layer-wise Autoencoders
NALIG: A CAD System for Interior Design with High Level Interaction Capabilities
Diagnosability Test for Timed Discrete-Event Systems
Sequential Recommendation with Dual Learning
COREFDRAW-A Tool for Annotation and Visualization of Coreference Data
An Effective Method for Generating Multiple Linear Regression Rules from Artificial Neural Networks
A Generative Adversarial Active Learning Method for Effective Outlier Detection
Robust Controllability of Temporal Constraint Networks under Uncertainty
Scaffolding the RETE network
Robust Temporal Constraint Network
Modeling Offline Knowledge Evolution Effect for Online Knowledge Tracing
CNF Encodings for the Min-Max Multiple Traveling Salesmen Problem
ExMed: An AI Tool for Experimenting Explainable AI Techniques on Medical Data Analytics
Multi-agent Reinforcement Learning Using Strategies and Voting
Multiagent planning and plan execution
Efficient Instance Selection Based on Spatial Abstraction
Multi-Agent Path Finding in Continuous Environment
Automated Model Revision for Coordinated Open Systems
ClimBS: Searching the Bias Space
On the Use of Genetic Algorithms in Database Client Clustering
Synthesis of Cognitive Maps and Applications
Group Affect Recognition: Visual - Facial Data Collection
Document Length Normalization by Statistical Regression
Multi-label Emotion Classification for Tweets in Weibo: Method and Application
Logical Development of a Petri Net Deadlock Analysis Program
Correlation Enhancement with Graph Convolutional Network for Pedestrian Attribute Recognition
Learning from hotlists and coldlists: towards a WWW information filtering and seeking agent
Transaction Oriented Computational Models for Multi-Agent Systems
Combining Graph Structure Exploitation and Propositional Reasoning for the Maximum Clique Problem
Enhancing Multi-Agent Robustness: Addressing the Off-Diagonal Problem with Population-Based Training
A mobile robot that recognizes people
Data Sampling Approaches with Severely Imbalanced Big Data for Medicare Fraud Detection
Linear Logic as a Tool for Deadlock-Freeness Scenarios Detection in Interorganizational Workflow Processes
Reduced Ensemble Size Stacking
Rotation-Invariant Descriptors Learned with Circulant Convolution Neural Networks
SAM-CLIP Counting Net: An Arbitrary-Shot Framework for Class-Agnostic Object Counting
Context Query in Information Retrieval
An Algorithm for Mining Top K Influential Community Based Evolutionary Outliers in Temporal Dataset
Relationships in an object knowledge representation model
A Methodology for Reader's Emotional State Extraction to Augment Expressions in Speech Synthesis
Ant Colony Optimization for Resource-Constrained Project Scheduling with Generalized Precedence Relations
Microdebates App for Android: A Tool for Participating in Argumentative Online Debates Using a Handheld Device
Dual-Neighborhood Feature Aggregation Network for Point Cloud Semantic Segmentation
AI Algorithmic Bias: Understanding its Causes, Ethical and Social Implications
The Evolution of Intelligent Writing Assistants: Trends and Future Prospects
Exploiting CPU Bit Parallel Operations to Improve Efficiency in Search
An Effective Simulated Annealing for Off-Line Robot Motion Planning
Fully-Automatic XML Clustering by Structure-Constrained Phrases
Behavior detection Algorithm of Caged White-feather broiler based on multi-scale detail feature fusion and object relation inference
Itemset Mining with Penalties
Multi-criteria Decision Making for Local Coordination in Multi-agent Systems
Reactive Prohibition-Based Ant Colony Optimization (RPACO): A New Parallel Architecture for Constrained Clique Sub-Graphs
ShapeEvoNet: A shapelet-based Time Series Classification Method
Understanding Structure and Mapping Content to Semantic Models
SelQA: A New Benchmark for Selection-Based Question Answering
Towards Optimal Active Learning for Matrix Factorization in Recommender Systems
An SPN based methodology for document understanding
Query Processing for Partial Information Databases in QUIXOTE
Automatic Segmentation of Lung Areas Based on SNAKES and Extraction of Abnormal Areas
Extending Clause Learning SAT Solvers with Complete Parity Reasoning
MANTRA: a shell for hybrid knowledge representation
An Argumentation-Based Flexible Agent with Dynamic Rules of Inference
HTPSeg: A Semantic Segmentation Database for House-Tree-Person Psychological Test
Evolutionary Practice Problems Generation: Design Guidelines
The Minimum Entropy Network
Probabilistic Smart Terrain
Real-Time Classification of Streaming Sensor Data
The remote sensing image segmentation of land cover based on multi-scale attention features
Using the Active Object Model to Implement Multi-Agent Systems
A Hybrid Self-Organizing Model for Sequence Analysis
Stochastic Euler Heavy Ball Method
Reverse Auction Based Incentive Order Matching Mechanism for Real-Time Ride-Sharing
A Computer-Aided Spectroscopic System for Early Diagnosis of Melanoma
Mining Confident Minimal Rules with Fixed-Consequents
A parallel execution method of production systems with multiple worlds
Profile-Based Focused Crawler for Social Media-Sharing Websites
A Syntactic Approach to Revising Epistemic States with Uncertain Inputs
A Modified PMF Model Incorporating Implicit Item Associations
On Features Used for Handwritten Character Recognition in a Neural Network Environment
Time Series Training Subsequences Detection to Optimize Machine Learning Prediction
Integrating Rules and Constraints
Marginal Calibration in Multi-agent Probabilistic Systems
A rule-based inference engine which is optimal and VLSI implementable
Domain Adaptive Document Reranking for Retrieval Augmented Generation
Facial Expression Recognition: Residue Learning Using SVM
Adaptive Traffic Signal Control for Multi-intersection Based on Microscopic Model
Data Mining Using Cultural Algorithms and Regional Schemata
Multi-step preferred elite-guided firefly algorithm
StreamDB Sensor Networks
Perceptrons with Polynomial Post-Processing
Partial Multivariate Transformer as a Tool for Cryptocurrencies Time Series Prediction
A spectral multi-resolution image encoding network
On the Amount of Semantic Information Conveyed by Gestures
BiGNN: A Bilateral-Branch Graph Neural Network to Solve Popularity Bias in Recommendation
Earliness/Tardiness Flow-Shop Scheduling under Uncertainty
Probing-Based Preprocessing Techniques for Propositional Satisfiability
LocalMotif - An In-Silico Tool for Detecting Localized Motifs in Regulatory Sequences
Predicting Program Guides for Video Structuring
MDRPC: Music-Driven Robot Primitives Choreography
Partitioning of Temporal Planning Problems in Mixed Space Using the Theory of Extended Saddle Points
Multi-Aspect Heterogeneous Graph Convolutional Network for Recommendation *
Fine-Tuning of UAV Control Rules for Spraying Pesticides on Crop Fields
Investigating the Duality of Interpretability and Explainability in Machine Learning
Hybrid CNN-LSTM and Domain Modeling in Climate-Energy Analysis for a Smart Environment
Capital budgeting techniques under fuzzy information
Predicting User Reported Symptoms Using a Gated Neural Network
Learning Hierarchical Moral Foundations for Interpretable Toxic Intent Classification via Weighted Probabilistic Soft Logic
A semantic network architecture for artificial intelligence processing
The Temporal Bin Packing Problem: An Application to Workload Management in Data Centres
Combining Hindsight with Goal-enhanced Prediction for Multi-goal Reinforcement Learning
Interpreting Historical ICU Data Using Associational and Temporal Reasoning
Word Semantics for Information Retrieval: Moving One Step Closer to the Semantic Web
A machine learning tool for computer aided molecular design
A new statistical method for performance evaluation of search engines
Learning Preferences in Prioritized Qualitative Choice Logic
Improving the Performance of Weighted Lagrange-Multiplier Methods for Nonlinear Constrained Optimization
A Comparison of Contextual Bandit Approaches to Human-in-the-Loop Robot Task Completion with Infrequent Feedback
MINOS: a constraints based tool for the HyperNets
A Logic-Based Approach for Query Refinement in Ontology-Based Information Retrieval S
Semantic Biological Image Management and Analysis
A methodology for creating and adapting reactive systems
Weather Routing Optimization: A New Shortest Path Algorithm
Towards a Generic CNF Simplifier for Minimising Structured Problem Hardness
Interactive Open Architecture Computer Vision
A Highly Efficient and Secure Multidimensional Blocking Approach for Private Record Linkage
Inference-based Hierarchical Reinforcement Learning for Cooperative Multi-agent Navigation
Extending Substitutability in Composite Services by Allowing Asynchronous Communication with Message Buffers
Dilated Deep Residual Network for Image Denoising
Exploring Numerical Calculations with CalcNet
An Axiomatic Approach for Persuasion Dialogs
Distributed Negotiation for Collective Decision-Making
From NL Preference Expressions to Comparative Preference Statements: A Preliminary Study in Eliciting Preferences for Customised Decision Support
Optimizing the Parameters of Drift Detection Methods Using a Genetic Algorithm
An Instance Based Model for Scalable Theta -Subsumption
Efficient Modeling of User-Entity Preference in Big Social Networks
Sharing the components of transposition-invariant distance, DIT, on DIT-organized Burkhard-Keller structure in searches for best matching strings
Identifying Conditionally Independent Target Subsets for Multi-Target Regression*Note: Sub-titles are not captured in Xplore and should not be used
Articulating Decision Maker's Preference Information within Multiobjective Artificial Immune Systems
Web Prediction Using Online Support Vector Machine
In-Network Decision Making Intelligence for Task Allocation in Edge Computing
B-Course: A Web Service for Bayesian Data Analysis
Deep Learning-Based Segmentation for Mapping Backyard Poultry in Canada
A Smart IoT Platform for Personalized Healthcare Monitoring Using Semantic Technologies
MIFTP: A Multimodal Multi-Level Independent Fusion Framework with Improved Twin Pyramid for Multilabel Chest X-Ray Image Classification
Capturing design and maintenance decisions with MACS
Extending Resolution by Dynamic Substitution of Boolean Functions
Versatile RDF Representation for Multimedia Semantic Search
First Order C-Cubes for the Interpretation of Petri Nets: An Application to Dynamic Scene Understanding
Hyperparameter Tuning of Classification Algorithms with a Hyper-Heuristic Framework - the Nested Markov Hyper-Tuner
Experiments with Various Recurrent Neural Network Architectures for Handwritten Character Recognition
Interval Data Clustering with Applications
A Hybrid Architecture for Text Classification
Data Augmentation for Insider Threat Detection with GAN
Manipulation Skills Acquisition through State Classification and Dimension Decrease
A Memetic Algorithm for the University Course Timetabling Problem
Search Strategies for Hybrid Search Spaces
On the Effects of Network Structure in Population-Based Optimization
Solving the Coalition Structure Generation Problem with MaxSAT
An Efficient Algorithm for Computing Elected Assertions in Partially Preordered Ontologies
Extending to Soft and Preference Constraints a Framework for Solving Efficiently Structured Problems
Feature Transform Correlation Network for Object Detection
Reinforcement Learning Based Incentive Mechanism for Federated Meta Learning: A Game-Theoretic Perspective
A New Genetic Algorithm Using Large Mutation Rates and Population-Elitist Selection (GALME)
Personality and Social Trust in Group Recommendations
Classifying Business Processes for Domain Engineering
A specialized genetic algorithm for numerical optimization problems
Evaluating Different Metric Configurations of an Evolutionary Wrapper for Attack Detection
Intelligent machine translation using a contextual knowledge representation
Effort Prediction Models Using Self-Organizing Maps for Embedded Software Development Projects
A Constraint-Based Coordination Model to Advantage Buses in Urban Traffic
More Smear-Based Variable Selection Heuristics for NCSPs
Gaussian Weighting Reversion Strategy for Accurate On-Line Portfolio Selection
Recurrent Temporal Point Process Network for First and Repeated Clinical Events
Sketched Answer Set Programming
A Novel Contextual Topic Model for Query-Focused Multi-document Summarization
An Empirical Study on Improving SimCLR's Nonlinear Projection Head Using Pretrained Autoencoder Embeddings
Arg Teach - A Learning Tool for Argumentation Theory
Induced Subgraph Game for Ensemble Selection
Improving a multiobjective evolutionary algorithm applied to batch scheduling in pharmaceutical manufacturing
Boosting the Adversarial Transferability of Surrogate Models with Dark Knowledge
Learning to Drive via Apprenticeship Learning and Deep Reinforcement Learning
Permutation Equivariant Deep Reinforcement Learning for Multi-Armed Bandit
A Comparative Analysis of Two Multi-objective Evolutionary Algorithms in Product Line Architecture Design Optimization
Towards a General Theory for Qualitative Space
Multimodal Graph-Based Reinforcement Learning for Multi-Agent Autonomous Navigation
Model-based exploration strategy to accelerate deterministic strategy algorithm training
An effective algorithm for incompatibility abduction problems
Robust Word-Network Topic Model for Short Texts
An Effective Deep Learning Approach for Unobtrusive Sleep Stage Detection Using Microphone Sensor
The NVL knowledge representation language
Bayesian Anytime m-top Exploration
Variable Objective Large Neighborhood Search: A Practical Approach to Solve Over-Constrained Problems
An Interactive Consistency Maintenance System and Its Logical Framework
An Entropy-Based Subspace Clustering Algorithm for Categorical Data
Multi-Instance Active Learning for Relation Extraction
A Multi-HMM Approach to ECG Segmentation
AV-MaskEnhancer: Enhancing Video Representations through Audio-Visual Masked Autoencoder
Element-Aware Legal Judgment Prediction for Criminal Cases with Confusing Charges
Adaptive Nonmonotone Conjugate Gradient Training Algorithm for Recurrent Neural Networks
A Survey on Feature Drift Adaptation
A Simple Method for 3-Dimensional Modeling and Application to Complex Objects
Capturing the Semantics of Online News Sources for Business Intelligence Applications
A New Linear Platoon Model Based on Reactive Multi-agent Systems
An attraction-based approach for instance selection
An Agent-Based Approach to Developing Intelligent Virtual Reality-Based Training Systems
FiLSTM: Fuzzy Rule Induction for LSTM Model: The Case of Predictive Maintenance
Strategies to Defend a Protagonist of an Event
Tools for Automating Experiment Design: A Machine Learning Approach
Tracking Branches in Trees - A Propositional Encoding for Solving Partially-Ordered HTN Planning Problems
MedREX: A Dual-Biaffine Attention and Feature-Enhanced Joint Model for Chinese Medical Entity-Relation Extraction
RLBS: An Adaptive Backtracking Strategy Based on Reinforcement Learning for Combinatorial Optimization
Bayesian Network Learning for Classification via Transfer Method
A Factor Tree Inference Algorithm for Bayesian Networks and Its Application
An Approach for Ontology-Enhanced Query Refinement in Information Portals
TopicView: Visually Comparing Topic Models of Text Collections
Accurate Active Shape Model for Face Alignment
On Solving Exactly-One-SAT
When Deep Neural Networks Meet Job Offers Recommendation
Achieving Both Model Accuracy and Robustness by Adversarial Training with Batch Norm Shaping
Efficient Topic Modeling on Phrases via Sparsity
Time Series Classification Based on Multi-codebook Piecewise Vector Quantized Approximation
Human-AI Collaborative Design of ReActNet-XGBoost Hardware Accelerator for Personalized Wearable ECG Monitoring
A Novel Density-Based Approach for Instance Selection
A Robust Document Skew Estimation Algorithm Using Mathematical Morphology
The Efficient Features for Tracking
Swarm robotics coordination dynamics modelled and formalised through Coloured Petri Nets
A connectionist approach to learning legal moves in Tower-of-Hanoi
A Clustering Approach to Wireless Network Intrusion Detection
Evaluation of Early Diagnosis of COVID-19 Algorithms
Evolutionary Distance Metric Learning Approach to Semi-supervised Clustering with Neighbor Relations
Formal Modeling of Reinforcement Learning with Many Agents through Repeated Local Interactions
The BioASP Library: ASP Solutions for Systems Biology
A Two Formal Languages Based Model for Representing Human Activities
Diagnostics of dynamical systems by recognizing the default and abnormal pattern
Knowledge Management and Sharing Support: The E-MEMORAe2.0 Web Platform
Detecting and Describing Historical Periods in a Large Corpora
A One-step Pruning-recovery Framework for Acceleration of Convolutional Neural Networks
Correction of Dynamic Knowledge
A Versatile Heuristic-Based Social Robot Navigation Solution Efficient in Sparse and Crowded Environments
Error Estimation Models Integrating Previous Models and Using Artificial Neural Networks for Embedded Software Development Projects
Prediction of crime location in a brazilian city using regression techniques
Analogical Reasoning for Natural to Formal Language Transfer
A Lagrangian reconstruction of a class of local search methods
Improved Faster-RCNN Based Biomarkers Detection in Retinal Optical Coherence Tomography Images
Natural Language Processing Tools and Environments: The Field in Perspective
Generation of Propagation Rules for Intentionally Defined Constraints
Constructs for Building Complex Symbolic-Connectionist Systems
YaDT: Yet another Decision Tree Builder