yusuke1997/dblp-id-title huggingface dataset:
Partially Observable Gene Regulatory Network Control without a Boundary on Horizon
A Dual-View Knowledge Enhancing Self-Attention Network for Sequential Recommendation
Forest Species Recognition Based on Ensembles of Classifiers
T-Mask: An Active and Accurate Dialogue State Tracking with Token Mask Prediction
Exploring Experimental Approaches for Enhancing Alzheimer's Disease Prediction with MRI Data and Deep Learning
Towards Releasing ViT from Pre-training
Partition-Based Consequence Finding
The One-Hidden Layer Non-parametric Bayesian Kernel Machine
A Symbolic Query-by-Example Framework for the Image Retrieval Signal/Semantic Integration
Directed Policy Search Using Relevance Vector Machines
An Unsupervised Approach for Identifying Spammers in Social Networks
Principles for mining summaries using objective measures of interestingness
Model-Checking an Ecosystem Model for Decision-Aid
Visual Target Tracking and Extraction from a Sequence of Images
Encoding Local Correspondence in Topic Models
Some Improvements of Deep Knowledge Tracing
An Overview of Haplotyping via Perfect Phylogeny: Theory, Algorithms and Programs
Contextual Anomaly Detection in Spatio-Temporal Data Using Locally Dense Regions
An Empirical Study on Wrapper-Based Feature Ranking
Online Single Homogeneous Source Transfer Learning Based on AdaBoost
Automatic Molecular Dynamics Simulation with Binding Affinity Prediction Using Deep Learning
Specification of expert systems
Revising the Outputs of a Decision Tree with Expert Knowledge: Application to Intrusion Detection and Alert Correlation
Distributed Graphplan
StreamAR: Incremental and Active Learning with Evolving Sensory Data for Activity Recognition
ExOpaque: A Framework to Explain Opaque Machine Learning Models Using Inductive Logic Programming
A Novel Fuzzy Based Home Occupant Monitoring System Using Kinect Cameras
Peer-to-Peer Traffic Identification by Mining IP Layer Data Streams Using Concept-Adapting Very Fast Decision Tree
A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification
On the Relationship between PQCL Preference Formalism and Value-Based AF
A Micro-cluster Based Ensemble Approach for Classifying Distributed Data Streams
Efficient Skyline Computation over Incomplete and Uncertain Data for Decision Making Systems
A Meta-Strategy Enhancement for Network Embedding
On-line handwritten Kanji character recognition using hypothesis generation in the space of hierarchical knowledge
A Scheduling Tool for Conditionally Independent Temporal Preferences
Reframing in Clustering
Argumentation for Aggregating Clinical Evidence
Adaptive Give-Up Decisions for a Team of Robots Foraging with Task Partitioning
Facial Affect Sensing for T-learning
Super Mario A-Star Agent Revisited
Toward a paperless development environment
Sequential Pattern Mining with Wildcards
VS-Net: Multiscale Spatiotemporal Features for Lightweight Video Salient Document Detection
A Dissimilarity-Based Drift Detection Method
Particle Swarm Classification for High Dimensional Data Sets
Recognizing a Scenario by Calculating a Temporal Proximity Index between Constraint Graphs
W-ACE: A Logic Language for Intelligent Internet Programming
Turning majority voting classifiers into a single decision tree
RSMS: Robust Semi-supervised Multi-label Feature Selection for Regression
A Versatile Graph-Based Approach to Package Recommendation
bt-vMF Contrastive and Collaborative Learning for Long-Tailed Visual Recognition
A Genetic Algorithm for Improving Robustness of Complex Networks
A Support System for the Capitalization and the Exploitation of Expert Knowledge
Using Deep Learning for Community Discovery in Social Networks
Automatic Knowledge Acquisition from Subject Matter Experts
Finding Crucial Subproblems to Focus Global Search
Language Driven Image Editing via Transformers
NAVNEX: A Hybrid System which Learns Navigation Situations in Real Time
RITNet: A Rotation Invariant Transformer based Network for Point Cloud Registration
Building Portfolios for Parallel Constraint Solving by Varying the Local Consistency Applied
Resampling or Reweighting: A Comparison of Boosting Implementations
An Evaluation of Different Evolutionary Approaches Applied in the Process of Automatic Transcription of Music Scores into Tablatures
Geometric Construction Problem Solving in Computer-Aided Learning
A Survey of Dialogue System Evaluation
Partial Bandit and Semi-Bandit: Making the Most Out of Scarce Users' Feedback
A New Equilibrium Criterion for Learning the Cardinality of Latent Variables
A New Decision-Tree Classification Algorithm for Machine Learning
Automatic Generation of Portable Parallel Natural Language Parsers
Federated Learning for Video Violence Detection: Complementary Roles of Lightweight CNNs and Vision-Language Models for Energy-Efficient Use
Knowledge Acquisition and Process Acquisition
Heterogeneous Ensemble Dynamic Selection for Software Development Effort Estimation
Ontology Construction for Information Selection
AutoTSC: Optimization Algorithm to Automatically Solve the Time Series Classification Problem
A heuristic search based factoring tool
Irrelevant Features, Class Separability, and Complexity of Classification Problems
Training Convolutional Networks on Truncated Text
On a Fuzzy Algebra for Querying Graph Databases
Image segmentation using a generic, fast and non-parametric approach
A Framework for Bean-Shape Contour Extraction
Automatic Configuration of Multi-Thread Local Search: Preliminary Results on Bi-objective TSP
Modulo Based CNF Encoding of Cardinality Constraints and Its Application to MaxSAT Solvers
On the Relationships between Clustering and Spatial Co-location Pattern Mining
A Scalable and Efficient Outlier Detection Strategy for Categorical Data
Using Hierarchical Clustering Algorithm to Detect Community Structure in Traditional Chinese Medicine Formula Network
Fusing Vector Space Models for Domain-Specific Applications
A Smoothed Dynamic Tabu Search Embedded GRASP for m-VRPTW
Off-Policy Correction for Deep Deterministic Policy Gradient Algorithms via Batch Prioritized Experience Replay
CSASN: Learning Complementary Spatial-Aware Siamese Networks for Visual Object Tracking
EasyTransport : An Effective Navigation and Transportation Guide for Wide Geographic Areas
Performance Comparison of Machine Learning Models Trained on Manual vs ASR Transcriptions for Dialogue Act Annotation
Bottom Up Logic Programming as an Inference Tool
Equuleus: Presentation from Legacy Documents
Path planning for terrain of steep incline using Bézier curves
Investigating the Effectiveness of Whitening Post-processing Methods on Modifying LLMs Representations
Biterm Pseudo Document Topic Model for Short Text
Reverse mapping of referral links from storage hierarchy for Web documents
Removal of redundancy in documents retrieved from different resources
A Petri Net-Based Metric for Active Rule Validation
Preference-Like Score to Cope with Cold-Start User in Recommender Systems
An Autonomous Sewer Robots Navigation Based on Stereo Camera Information
Agent Technology and Scientific Workflow Management in an E-Science Environment
An ATMS-based geometric constraint solver for 3D CAD
Administration and Exploitation of Qualitative Aspects in Declarative 3D Scene Synthesis
A Lightweight Concept Drift Detection Ensemble
An introduction to KEDE-A hybrid knowledge engineering development environment
On the Propagation Strength of SAT Encodings for Qualitative Temporal Reasoning
Deep Learning Poison Data Attack Detection
Parallel branch and bound on fine-grained hypercube multiprocessors
Salient Textural Anomaly Proposals and Classification for Metal Surface Anomalies
Effective Products Categorization with Importance Scores and Morphological Analysis of the Titles
A Knowledge-Based Tutoring System for SQL Programming
An Architecture for Designing Distributed Spoken Dialogue Interfaces
Eliminating Redundant and Less-Informative RSS News Articles Based on Word Similarity and a Fuzzy Equivalence Relation
A CNN-RNN Hybrid Model with 2D Wavelet Transform Layer for Image Classification
Optimizing Energy Consumption in Automated Vacuum Waste Collection Systems
A Hybrid Approach to Cleansing Software Measurement Data
Dynamic Load-Balancing via a Genetic Algorithm
Dempster-Shafer reasoning for medical image recognition
AOSR-Net: All-in-One Sandstorm Removal Network
Feature Space Regularization for Person Re-identification with One Sample
HSAS: a heuristic development tool
COKE: Efficient Solving of Complex Assignment Problems with the Propose-and-Exchange Method
A Study on the Relationships of Classifier Performance Metrics
Feature Selection on Dynamometer Data for Reliability Analysis
Fuzzy Approaches to Acquiring Experimental Knowledge in Cultural Algorithms
An Accurate Eye Center Localization Method for Low Resolution Color Imagery
Efficient CUR Matrix Decomposition via Relative-Error Double-Sided Least Squares Solving
The Ordered Distribute Constraint
Improved Self-Generating Prototypes Algorithm for Imbalanced Datasets
Declarative Heuristics in Constraint Satisfaction
TSFRN: Integrated Time and Spatial-Frequency domain based on Triple-links Residual Network for Sales Forecasting
Improving Music Recommendation in Session-Based Collaborative Filtering by Using Temporal Context
Deep Learning for Textual Entailment Recognition
Guiding Evolutionary Molecular Design: Adding Reinforcement Learning for Mutation Selection
A Part Invariance Network for Cross-Domain Person Re-identification
Using a Lagrangian Heuristic for a Combinatorial Auction Problem
Improving Multi-robot Coordination by Game-Theoretic Learning Algorithms
Extending OWL by Fuzzy Description Logic
Caption Localization and Detection for News Videos Using Frequency Analysis and Wavelet Features
A Method for Organizing Knowledge Bases in the Hierarchical Form
WE-BTR: A Behavior Tree Recommendation Method Based on Word Embedding
Combining Multiple Representations in a Spatial Reasoning System
FoCA: Failure-oriented Class Augmentation for Robust Image Classification
Knowledge Representation and Reasoning in a System Integration Logic in Objects
Preprocessing for Point-Based Algorithms of POMDPs
Introducing Affect into Competitive Game Play
Semantic-Based Access Control for Grid Data Resources in Open Grid Services Architecture - Data Access and Integration (OGSA-DAI)
User-Defined Difficulty Levels for Automated Question Generation
Online Kernel Selection via Grouped Adversarial Bandit Model
KEYS: Keyframe Extraction and Yielding Summaries
SAMON: Communication, Cooperation and Learning of Mobile Autonomous Robotic Agents
Full Body Person Identification Using the Kinect Sensor
Internet of Things Security Analytics and Solutions with Deep Learning
Collaborative Filtering Based on Star Users
Embedding learning in a general frame-based architecture
On using logic synthesis for supervised classification learning
BIDDLE: a bidirectional data driven Lisp engine
Twenty-Five Comparators Is Optimal When Sorting Nine Inputs (and Twenty-Nine for Ten)
Introducing Constraint Well-Founded Semantics for Constraint Logic Programming Through Rewriting Transformations
An Emotion Evolution Network for Emotion Recognition in Conversation
Conceptual Driven Search Among Distributed Knowledge Sources
Optimized models and symmetry breaking for the NFA inference problem
Multi-round Vote Elicitation for Manipulation under Candidate Uncertainty
Res-ViT: Residual Vision Transformers for Image Recognition Tasks
A Very Large-Scale Neighborhood Search Approach to Capacitated Warehouse Routing Problem
Mel-frequency Cepstral Coefficients for Eye Movement Identification
Solving E-Squaro through SAT-Coding
Machine Learning in Intangible Cultural Analytics: The Case of Greek Songs' Lyrics
Statistical Guarantees and Algorithmic Convergence Issues of Variational Boosting
Using Software Agents to Avoid Collisions Among Multiple Robots
A New Hybrid Algorithm for Multiobjective Optimization
MERIT Motifs
Integrating YAGO into the Suggested Upper Merged Ontology
An Algorithm for Finding Robust and Stable Solutions for Constraint Satisfaction Problems with Discrete and Ordered Domains
Benchmarking Autonomous Driving Systems using a Modular and Scalable Simulation Environment
Intrusion Detection over Network Packets using Data Stream Classification Algorithms
Tactical route planning: new algorithms for decomposing the map
Preserving Patterns in Bipartite Graph Partitioning
Neo-Fuzzy-Neuron Based New Approach to System Modeling, with Application to Actual Systems
Contextual Receptive Field Adapter for Visual Place Recognition
Modeling, Analysis and Visualization of Uncertainty in the Battlespace
High-Value Prioritized Experience Replay for Off-Policy Reinforcement Learning
New Deep Neural Networks for Protein Model Evaluation
An Ant Algorithm for Single-Hop Wavelength Assignment in WDM Mesh Network
Single Sequence Fast Feature Selection for High-Dimensional Data
The management of uncertainty in commercial expert system building tools
The Analysis of Cost Error in Parallel Simulated Annealing
PHC-GAN: Physical Constraint Generative Adversarial Network for Single Image Dehazing
An Approach to Image Spam Filtering Based on Base64 Encoding and N-Gram Feature Extraction
Fast and Robust Object Tracking with Adaptive Detection
36th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2024, Herndon, VA, USA, October 28-30, 2024
IXM2: a parallel associative processor for semantic net processing-preliminary evaluation
Computational Linguistic Analysis of Submitted SEC Information (CLASSI)
CoQuiAAS: A Constraint-Based Quick Abstract Argumentation Solver
Toward a theory approach to visual knowledge
Tagging Choreographic Data for Data Mining and Classification
Historical Best Q-Networks for Deep Reinforcement Learning
Integration of Lower Bound Estimates in Pseudo-Boolean Optimization
A State Representation Dueling Network for Deep Reinforcement Learning
A Cross-Modal Object-Aware Transformer for Vision-and-Language Navigation
On the Theoretical and Computational Analysis between SDA and Lap-LDA
Rethink Gaussian Denoising Prior for Real-World Image Denoising
Improving Search Space Splitting for Parallel SAT Solving
Using State Predictions for Value Regularization in Curiosity Driven Deep Reinforcement Learning
Crowdsourcing Recognized Image Objects In Mobile Devices Through Machine Learning
NEREA: Named Entity Recognition and Disambiguation Exploiting Local Document Repositories
A Hypothetical Reasoning-based Framework for NL Processing
PeMapNet: Action Recognition from Depth Videos Using Pyramid Energy Maps on Neural Networks
QUIXOTE as a Tool for Natural Language Processing
On the Role of Preferences in Argumentation Frameworks
Minimum Spanning Tree Based Clustering Algorithms
Adversarial Attack Against DoS Intrusion Detection: An Improved Boundary-Based Method
Texture Recognition on Metal Surface using Order-Less Scale Invariant GLAC
The Logic of Hypothesis Generation in Kinetic Modeling of System Biology
Support based measures applied to ice hockey scoring summaries
LRAGAD: Local Information Recognition for Attribute Graph Anomaly Detection
Sets of Contrasting Rules: A Supervised Descriptive Rule Induction Pattern for Identification of Trigger Factors
A Case-Based Architecture for Temporal Abstraction Configuration and Processing
The Chameleon Systems: A new Approach in Anticipatory based Decision Making Systems with Application to Electricity Markets
Minor moves-global results: robot trajectory planning
VTON-HF: High Fidelity Virtual Try-on Network via Semantic Adaptation
Threshold Based Optimization of Performance Metrics with Severely Imbalanced Big Security Data
JRC: A Job Post and Resume Classification System for Online Recruitment
Learning methods for online-process diagnosis
Pre-training of Autoregressive Model for Aircraft Hard Landing Prediction Based on QAR Data
Scalable Distributed Depth-First Search with Greedy Work Stealing
Embedding Learning with Heterogeneous Event Sequence for Insider Threat Detection
Feature Exploration for Mining Coronal Loops from Solar Images
A New Feature Transformation Method Based on Rotation for Speaker Identification
Bidirectional Convolutional-LSTM based Network for lung segmentation of chest X-ray images
Leveraging Static and Behavioral Features for Fake News Detection in Tunisian Arabic Using Graph Learning
SiamORPN: Enabling Orthogonality between Object and Background in Siamese Object Tracking
Real-Valued Feature Selection by Mutual Information of Order 2
Multiscale Approach in Deep Convolutional Networks for Minutia Extraction from Contactless Fingerprint Images
Eliminating Redundancies in SAT Search Trees
Generalization of Classification Rules
Distributing problem solving on the Web using constraint technology
Intelligent Energy Data Warehouse: What Challenges?
HSGCL-DTA: Hybrid-scale Graph Contrastive Learning based Drug-Target Binding Affinity Prediction
UNPCC: A Novel Unsupervised Classification Scheme for Network Intrusion Detection
Focussed Propagation of MDPs for Path Planning
An Accurate PDDL Domain Learning Algorithm from Partial and Noisy Observations
Machine Learning in Value-Based Software Test Data Generation
TSCREC: Time-sync Comment Recommendation in Danmu-Enabled Videos
CANA: Enhancing Graph-Based Fraud Detection via Confidence-Aware Neighborhood Aggregation
34th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2022, Macao, China, October 31 - November 2, 2022
NARRA-SCALE: Scaling Users and Messaging Through Narrative Detection in Retweet Networks
Interleaved Asynchronous Arc Consistency in Distributed Constraint Networks
Semantic-based Bidirectional Adversarial Neural Topic Model
Attention Constraint Mechanism through Auxiliary Attention
VIM film system
A heuristic search strategy for optimization of trade-off cost measures
Application of Hierarchical Hybrid Encodings to Efficient Translation of CSPs to SAT
An Ontological Model for Urinary Profiles
New Techniques for Inference in Assumption-Based Truth Maintenance Systems
A Neighborhood-Based Value Iteration Algorithm for POMDP Problems
Self-Organizing Navigation: From Neural Maps to Navigation Situations
A Connectionist Shell for Developing Expert Decision Support Systems
DualGCN: Representation Learning for Property Graphs via Dual-level Convolutional Networks
Quartet Based Phylogeny Reconstruction with Answer Set Programming
Differential A*: an adaptive search method illustrated with robot path planning for moving obstacles and goals, and an uncertain environment
Using Analogy and Formal Methods for Software Reuse
Enhancing Neural Network Based Hybrid Learning with Empirical Wavelet Transform for Time Series Forecasting
A Distributed Logical Filter for Connected Row Convex Constraints
A history-based scheme for accelerating Prolog interpretation
Ant Colony Optimization for Multi-Objective Optimization Problems
An artificial intelligence based tool for home automation using MATLAB
CPrefMiner: An Algorithm for Mining User Contextual Preferences Based on Bayesian Networks
33rd IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2021, Washington, DC, USA, November 1-3, 2021
Mining the Log-Tree of Process Traces: Current Approach and Future Perspectives
Preference-Aware Web Service Composition by Reinforcement Learning
Electricity Theft Detection Using Generative Models
Learning User Embedding Representation for Gender Prediction
An Ontology for Conversations with Virtual Research Assistants
An Application of Adapted A* Decentralized Approach for On Demand Transportation Problem
Detecting Backdoor Attacks on Deep Neural Networks Based on Model Parameters Analysis
Adaptive Modeling of Biochemical Pathways
Artificial intelligence R&D: the ISS strategy
A Temporal Difference GNG-Based Approach for the State Space Quantization in Reinforcement Learning Environments
Deep Interaction Behavioral Feature Network for Click-Through Rate Prediction
When Vehicular Networks meet Artificial Intelligence
Collaborative Filtering for Multi-class Data Using Belief Nets Algorithms
Knowledge with Real-Time Semantics
Publication Venue Recommendation Based on Paper Abstract
Multi-granularity Position-Aware Convolutional Memory Network for Aspect-Based Sentiment Analysis
Private and Shared Feature Extractors Based on Hierarchical Neighbor Encoder for Adaptive Few-Shot Knowledge Graph Completion
CPP-SNS: A Solution to Influence Maximization Problem under Cost Control
A Normative Model for Holonic Multi-agent Systems
Detecting Impolite Crawler by Using Time Series Analysis
Remember Your Best: Improving Exploitation in Deep Q-Network
Predicting the Next Scenic Spot a User Will Browse on a Tourism Website Based on Markov Prediction Model
Sparse High-Level Attention Networks for Person Re-Identification
Solving Highly Constrained 3D Heterogeneous Truck Loading Problems: A Contribution to the 2022 EURO/ROADEF Challenge
Incremental Query Answering over Dynamic Contextual Information
Approximate Online Inference for Dynamic Markov Logic Networks
Fragmental Optimization on the 2-Machine Bicriteria Flowshop Scheduling Problem
Text Summarization Based on Sentence Selection with Semantic Representation
Straight Line Programs: A New Linear Genetic Programming Approach
The capability of feedforward neural networks with Ω-shaped activation functions
Probabilistic Continuous Constraint Satisfaction Problems
Twitter-Based Recommender System to Address Cold-Start: A Genetic Algorithm Based Trust Modelling and Probabilistic Sentiment Analysis
Consistency of Test Cases in Validation of Bayesian Knowledge-Bases
A Music Information Retrieval Approach Based on Power Laws
A Risk Assessment and Alerting System for Maritime Attacks
Determining the Number of Clusters/Segments in Hierarchical Clustering/Segmentation Algorithms
Algorithmic support for intelligent fire-code checking
On Data Clustering with a Flock of Artificial Agents
InsightGUIDE: An Opinionated AI Assistant for Guided Critical Reading of Scientific Literature
Handling Preferences in LP MLN : A Preliminary Report
A Complete Framework for Clustering Trajectories
XONTO: An Ontology-Based System for Semantic Information Extraction from PDF Documents
Computing Prime Implicants by Integer Programming
Enhancing Reuse of Smalltalk Methods by Conceptual Clustering
An In-Service Agent Monitoring and Analysis System
Analysis of the learning model for KYDON system
Experiments on the Concurrent Rule Execution in Database Systems
Incremental update on sequential patterns in large databases
A Qualitative Treatment of Spatial Data
Automated SAT Problem Feature Extraction using Convolutional Autoencoders
Spectral Representation Learning in Color Space for Deforestation Mapping with Limited Supervision
A knowledge-based system for redundancy resolution and path planning, using self-motion topology of redundant manipulators
Learning from examples and counterexamples with equational background knowledge
A Versatile Description Framework for Modeling Behaviors in Traffic Simulations
A Surrogate Based Multiobjective Evolution Strategy with Different Models for Local Search and Pre-selection
Verum Fitness: An AI Powered Mobile Fitness Safety and Improvement Application
Off-line Signature Verification: An Approach Based on Combining Distances and One-class Classifiers
Probabilistic Decision Modeling in Social Networks
Composing Approximated Algorithms Based on Hopfield Neural Network for Building a Resource-Bounded Scheduler
Distributed Coordination Guidance in Multi-agent Reinforcement Learning
MAGNN:A Multi-View Augmented Graph Neural Network Model for Micro-Video Vlogger Recommendation
A Stochastic Optimization Scheme for Automatic Registration of Aerial Images
MFSAT: A SAT Solver Using Multi-Flip Local Search
HCTA: Hierarchical Cooperative Task Allocation in Multi-Agent Reinforcement Learning
Computing the Equilibria of Bimatrix Games Using Dominance Heuristics
The System BioC for Reasoning about Biological Models in Action Language C
20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), November 3-5, 2008, Dayton, Ohio, USA, Volume 2
Using Gate Recognition and Random Simulation for Under-Approximation and Optimized Branching in SAT Solvers
Towards Designing an Energy Efficient Accelerated Sparse Convolutional Neural Network