yusuke1997/dblp-id-title huggingface dataset:
Phenotyping of Cervical Cancer Risk Groups via Generalized Low-Rank Models Using Medical Questionnaires
Challenges and Approach: AI for Digitalised Carbon Storage Analysis
Detecting Human Embryo Cleavage Stages Using YOLO V5 Object Detection Algorithm
Nordic Artificial Intelligence Research and Development - 4th Symposium of the Norwegian AI Society, NAIS 2022, Oslo, Norway, May 31 - June 1, 2022, Revised Selected Papers
The Kernelized Taylor Diagram
Identifying Cross Country Skiing Techniques Using Power Meters in Ski Poles
Data-Driven Prediction of Vortex-Induced Vibration Response of Marine Risers Subjected to Three-Dimensional Current
Fake News Detection by Weakly Supervised Learning Based on Content Features
Analyzing Literary Texts in Lithuanian Sign Language with Computer Vision: A Proof of Concept
EvoLP.jl: A Playground for Evolutionary Computation in Julia
The AI Act and the Risks Posed by Generative AI Models
Automatic Detection of Manipulative Consent Management Platforms and the Journey into the Patterns of Darkness
Evolved Art with Transparent, Overlapping, and Geometric Shapes
Bayesian Exploration in Deep Reinforcement Learning
Proceedings of the Symposium of the Norwegian AI Society 2025, Tromsø, Norway, June 17-18, 2025
Proceedings of the 5th Symposium of the Norwegian AI Society, Bergen, Norway, June 14-15, 2023
Machine Ethics or AI Alignment?
Energy Industry Perspective on the Definition of Autonomy for Mobile Robots
NMN-BART: Generating Natural Language Explanations for Visual Question Answering
Multimodal 3D Object Detection from Simulated Pretraining
Improving the Usability of Tabular Data Through Data Annotation, Repair and Augmentation
Pixel-Level Predictions with Embedded Lookup Tables
Similarity Measure Development for Case-Based Reasoning-A Data-Driven Approach
Leveraging Foundation Model Adapters to Enable Robust and Semantic Underwater Exploration
Nordic Artificial Intelligence Research and Development - Third Symposium of the Norwegian AI Society, NAIS 2019, Trondheim, Norway, May 27-28, 2019, Proceedings
Effectiveness of Neural Networks for Research on Novel Thermoelectric Materials. A Proof of Concept
Container-Based IoT Architectures: Use Case for Visual Person Counting
Construction of a Relevance Knowledge Graph with Application to the LOCAL News Angle
Enhancing the Precision Agriculture of AgriSenze™ by Predicting the Soil Temperature at Different Depths
Knowledge Infused Representations Through Combination of Expert Knowledge and Original Input
Autonomous Vehicle Control: End-to-End Learning in Simulated Urban Environments
Experiences from Real-World Evolution with DyRET: Dynamic Robot for Embodied Testing
NorViVQA: Visual Question Answering for Visually Impaired in Norwegian Language
Automatic Unsupervised Clustering of Videos of the Intracytoplasmic Sperm Injection (ICSI) Procedure
An Overview of Artificial Intelligence Used in Malware
Generating Natural Language Dialogues Using Large Language Models with Adapters
Cognitive Robotics - Towards the Development of Next-Generation Robotics and Intelligent Systems
Ethics of Artificial Intelligence Demarcations
A Comparative Analysis of Feature Selection Methods for Biomarker Discovery in Study of Toxicant-Treated Atlantic Cod (Gadus Morhua) Liver
Self-adapting Goals Allow Transfer of Predictive Models to New Tasks
Crowd Simulation with Deliberative-Reactive Agents
Dual Active Sampling on Batch-Incremental Active Learning
Pattern Based Software Architecture for Predictive Maintenance
Simulating University Application Data for Fair Matchings
New Ways to Design Deep Neural Networks
Activity Recognition and Prediction in Real Homes
Logics for Concurrency - Structure versus Automata (8th Banff Higher Order Workshop, Banff, Canada, August 27 - September 3, 1995, Proceedings)
Modal and Temporal Logics for Processes
Specification Structures and Propositions-as-Types for Concurrency
Automated Temporal Reasoning about Reactive Systems
An Automata-Theoretic Approach to Linear Temporal Logic
Decidability Results in Automata and Process Theory
Position and Channel Attention for Image Inpainting by Semantic Structure
Linear Algebraic Partial Evaluation of Logic Programs
A neural architecture applied to the enhancement of noisy binary images without prior knowledge
MBTSAD: Mitigating Backdoors in Language Models Based on Token Splitting and Attention Distillation
On the robustness of Dempster's rule of combination
An Adaptive Strategy for Trust/Honesty Model in Multi-Agent Semi-Competitive Environments
ICLD: An Instance Contrastive Learning Domain Adaptive SAR Object Detection Network
Vehicle Trajectory Prediction Model Based on Attention Mechanism and Inverse Reinforcement Learning
Chi2: feature selection and discretization of numeric attributes
Semi-Supervised Learning Techniques for Automated Fault Detection and Diagnosis of HVAC Systems
DPD: A Dual Prompt Distillation Method for Vision-Language Model
Ensemble Learning using Error Correcting Output Codes: New Classification Error Bounds
The Role of Expert System Shells in Hypertext Technology
CSL (Part I): Modelling General N-ary, Logical CSPs
Seventh International Conference on Tools with Artificial Intelligence, ICTAI '95, Herndon, VA, USA, November 5-8, 1995
Rule compilation from constraint-based problem solving
Flexible, Efficient and Interactive Retrieval for Supporting In-silico Studies of Endobacteria
Scientific Data Classification: A Case Study
An Investigation of Transfer Learning and Traditional Machine Learning Algorithms
A Decomposition-Based Approach to OWL DL Ontology Diagnosis
Sustained Emerging Spatio-Temporal Co-occurrence Pattern Mining: A Summary of Results
Formalizing Simple Natural Language Arguments Using Abstract Meaning Representation and Approximate Propositional Reasoning
Group Intelligent Decision Support System for Power System Skeleton Restoration
Massively Parallel Reasoning under the Well-Founded Semantics Using X10
Using Classifier Systems to Design Neural Nets
Genetic-fuzzy knowledge-integration strategies
A Comparative Study of Techniques for Intrusion Detection
All from One, One for All, Failure Diagnosis of Discrete Event Systems Using Representatives
Supervised Learning for Insider Threat Detection Using Stream Mining
Author Identification of E-mail Messages with OLMAM Trained Feedforward Neural Networks
Data Transformation for Learning in Feedforward Neural Nets
Land Use Cartography from Hyperion Hyperspectral Imagery Analysis: Results from a Mediterranean Site
Assigning and Scheduling Service Visits in a Mixed Urban/Rural Setting
A Neural Network Aided Adaptive Second-Order Gaussian Filter for Tracking Maneuvering Targets
Knowledge Discovery in the Legal Domain
Proving Graph Un-Colorability with a Consistency Check of CSP
Learning Reliable PDDL Models for Classical Planning from Visual Data
An Artificial Neural Network for the Ergonomic Evaluation of a Human-Computer Interface
Towards Safer Industrial Serial Networks: An Expert System Framework for Anomaly Detection
Using NLP Techniques for Tagging Events in Arabic Text
Concept Learning in Default Logic
A Deep Genetic Method for Keyboard Layout Optimization
Combining Mixed Integer Programming and Supervised Learning for Fast Re-planning
Harnessing GAN with Metric Learning for One-Shot Generation on a Fine-Grained Category
Are LLMs Really Underperforming in Stance Detection? Identifying Patterns of Challenging Instances in Zero-Shot Stance Detection
Kimia-5MAG - A Dataset for Learning the Magnification in Histopathology Images
Learning Markov Networks with Context-Specific Independences
Automatic Segmentation of Abdominal Organs from CT Scans
Object-Oriented Constraint Programming Environment NeMo+ and Its Applications
Improving the Accuracy of Principal Component Analysis by the Maximum Entropy Method
Feature extraction from speech spectrograms using multi-layered network models
Analyzing Deceptive Opinion Spam Patterns: the Topic Modeling Approach
Data Augmentation for Heart Arrhythmia Classification
Intelligent Text Handling Using Default Logic
A Search Space Utility Optimization Based Online POMDP Planning Algorithm
Temporal Scene Understanding using Contextually Unique Identification
Comparing Diverse Planning Strategies with Continuous Monte Carlo Tree Search Applied to Hybrid Gene Regulatory Networks
Hub-Authority Cores and Attributed Directed Network Mining
Texture and Shadow Insensitive Metric for Image-Based Reconstruction
Extending Hierarchical Partial-Order Causal-Link Planning to Temporal Problem Solving
The AQ21 Natural Induction Program for Pattern Discovery: Initial Version and its Novel Features
Enhancing MAS Environments with Organizational Mechanisms
Winner Determination in Multi-Objective Combinatorial Reverse Auctions
Crowd Counting via Enhanced Feature Channel Convolutional Neural Network
A General Algorithm for Pattern Diagnosability of Distributed Discrete Event Systems
A Human-Like SPN Methodology for Deep Understanding of Technical Documents
Adaptive Appearance Based Face Recognition
Visual Scenes Categorization Using a Flexible Hierarchical Mixture Model Supporting Users Ontology
Interactive extension of domain datatypes
Multi-dimension Transformer with Attention-based Filtering for Medical Image Segmentation
A Survey of Sentiment Analysis Based on Pretrained Language Models
Logical Encoding of Argumentation Frameworks with Higher-Order Attacks
Automatic Soccer Video Event Detection Based on a Deep Neural Network Combined CNN and RNN
A Framework for Hybrid Set-Theoretic and Numerical Problem Solving
Coupling Visual Semantics and High-Level Relational Characterization within a Transparent and Penetrable Image Retrieval Framework
Feature Space Topology Control via Hopkins Loss
Feature Selection based on Discernibility Function in Incomplete Data with Fuzzy Decision
A data-Driven approach for guiding the occupant's actions to achieve better comfort in buildings
An Enhanced R-NSGA-II For Multiple Brands Advertising Campaign Allocation Problem
An Intelligent SPN Dialogue Model for Extracting Non-Measurable Pathological Symptoms
Optimizing Interleaver for Turbo Codes by Genetic Algorithms
A Novel Technique to Rank-Order Occupational Injury Claims for Return-to-Work Prediction
Model-Based Identification of Primary Causes
Online POMDP with Heuristic Search and Sampling Applied to Real Time Strategy Games
ECAPNVer: A Software Tool to Verify Active Rule Bases
Optical Flow Based Obstacle Avoidance for Multi-rotor Aerial Vehicles
Acquisition of knowledge sources for natural language processing
16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 15-17 November 2004, Boca Raton, FL, USA
Drug Side Effects Prediction via Heterogeneous Multi-Relational Graph Convolutional Networks
Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection
Constrained Optimization with Preferentially Ordered Outcomes
On Evaluation Methodologies for Text Segmentation Algorithms
An SPN Modeling of the H-IRW Getting-Up Task
Solving Traveling Salesman Problem with Image-Based Classification
A parallel unification coprocessor
CNA: A Dataset for Parsing Discourse Structure on Chinese News Articles
Genetic Algorithm with Local Search for Community Mining in Complex Networks
Configuration management in the HILDA system
Accelerating Educational Assessment in Software Engineering through Human-AI Collaboration
Parallel Planning using a Lazy Clause Generation Solver
Functional MRI as a Tool to Quantify Cortical Changes from Vision Rehabilitation
LLM Powered DeepSeek and BiLSTM Pipeline Used in Aspect Based Sentiment Analysis
The Inheritance Mechanism of a System Integrating Logic in Objects
Query-Based Summarization using Reinforcement Learning and Transformer Model
Consistency Techniques for Finding an Optimal Relaxation of a Feature Subscription
Possibilistic Networks: MAP Query and Computational Analysis
A Parallel Solving Algorithm for Quantified Constraints Problems
Automatic Drone Identification Through Rhythm-based Features for the Internet of Drones
Adapting the Large Neighborhood Search to Effectively Solve Pickup and Delivery Problems with Time Windows
SVR-Parameters Selection for Image Watermarking
Overlapping Community Detection via Leader-Based Local Expansion in Social Networks
Compact Multi-level Sparse Neural Networks with Input Independent Dynamic Rerouting
Optimized Deep Learning Architectures with Fast Matrix Operation Kernels on Parallel Platform
Comparative Crime Analysis and Prediction Using Machine Learning Algorithms: Assessing the Tools and Addressing the Threats
Extending GENET for non-binary CSP's
Active Learning for Semi-Supervised K-Means Clustering
A Hybrid Consensus and Clustering Method for Protein Structure Selection
H.264/AVC Intra-only Coding (iAVC) and Neural Network Based Prediction Mode Decision
A Metaheuristic for the Pickup and Delivery Problem with Time Windows
Translation-Based Attributed Network Embedding
Object Reconstruction using the Cooperation of 3D Segments and 3D Facets Information
Experiences made using the expert system shell G2
U-Net Based Discriminator for Real-World Super-Resolution
Domain Adaptation in Machine Learning: A Practical Simulation Study
Identifying Domain-Independent Normative Indirect Conflicts
FPSeq: Simplifying and Accelerating Task-Oriented Dialogue Systems via Fully Parallel Sequence-to-Sequence Framework
A Multimodal Human-Machine Interaction Scheme for an Intelligent Robotic Nurse
A Comparative Study of Machine Learning Techniques for Caries Prediction
A hybrid genetic algorithm for the identification of metabolic models
A Deep Reinforcement Learning Heuristic for SAT based on Antagonist Graph Neural Networks
A Metaheuristic Controller for Cooperative Manipulators
Interval Constraint Satisfaction Tool INC++
Empirical Results on Anytime Propositional Reasoning
Bounded PCTL Model Checking of Large Language Model Outputs
Using Transferred Deep Model in Combination with Prior Features to Localize Multi-style Ship License Numbers in Nature Scenes
Character Recognition Based on Neural Network and Dempster-Shafer Theory
3D-PSH: Lightweight 3D LiDAR Object Detection Using Adaptive Clustering and 3D Point Spatial Histograms
Controlled Flux Results in Stable Decision Trees
Local Search Algorithm for the Partial Minimum Satisfiability Problem
Coop: a shell for cooperating expert systems
Applying a Taxonomy of Formation Control in Developing a Robotic System
Natural Gradient Policy for Average Cost SMDP Problem
Binary Search-Based Methods for Solving Constraint Hierarchies over Finite Domains
Heterogeneous Transfer Clustering for Partial Co-occurrence Data
Incorporating the Graph Representation of Video and Text into Video Captioning
Asynchronous Thing Descriptions for Crafting Applications in the Web of Things
Approximate Discrete Probability Distribution Representation Using a Multi-Resolution Binary Tree
A Gridified Artificial Neural Network Resource
Sketch2Relief: Generating Bas-relief from Sketches with Deep Generative Networks
DuTriNet: Dual-Stream Triplet Siamese Network for Self-Supervised Action Recognition by Modeling Temporal Correlations
Exploiting N-Gram Location for Intrusion Detection
ICAMF: Improved Context-Aware Matrix Factorization for Collaborative Filtering
ACIS: An Improved Actor-Critic Method for POMDPs with Internal State
Compilation of a High-level Temporal Planning Language into PDDL 2.1
Chirico-a framework for computerization of medical practice guidelines
A novel neural network model using Box-Jenkins technique and response surface methodology to predict unemployment rate
Confronting Sparseness and High Dimensionality in Short Text Clustering via Feature Vector Projections
Discovery of Gait Anomalies from Motion Sensor Data
Enriching OWL Ontologies with Linguistic and User-Related Annotations: The ELEON System
Alma/Carne: Implementation of a Time-Situated Meta-Reasoner
Measuring Sentence Similarity from Both the Perspectives of Commonalities and Differences
Argumentation-Based Collaborative Decisions for Design
Toward Efficient Agreements in Real-Time Multilateral Agent-Based Negotiations
MSF-CAM: Meta-Aware Multi-Scale Focused Class Activation Mapping for Trustworthy Skin Lesion Diagnosis
Application of a Hybrid Neural Network for the Discrimination of Seeds by Artificial Vision
Modelling and Architecture of a Workspace for Tacit Knowledge Management in Railway Transport
Transformation Learning in the Context of Model-Driven Data Warehouse: An Experimental Design Based on Inductive Logic Programming
KPE-GCN: A Keyphrase-Enhanced Graph Convolutional Network for Imbalanced Text Classification
Protein Secondary Structure Prediction Using Data Mining Tool C5
Causal Intervention for Object Detection
A new approach for representing and recognition of two-dimensional objects
RIA: A Reversible Network-based Imperceptible Adversarial Attack
Dual Autoencoder Enhanced Subgraph Pattern Mining for Cognitive Diagnosis
A Scheme for Knowledge Representation, Verification, and Reasoning in Real Time Asynchronous Production Systems
K-Group A for Multiple Sequence Alignment with Quasi-Natural Gap Costs
Integrating Time and Resources into Planning
Unsupervised Learning and Effective Complexity: Introducing JPG and Neural Sophistication
A finite state automata of the Arabic grammar
Efficient Reification of Table Constraints
Enhancing Classification Accuracy with the Help of Feature Maximization Metric
A deep reinforcement learning-based agent for negotiation with multiple communication channels
Capturing User Access Patterns in the Web for Data Mining
Time Dependent Optimization with a Folding Genetic Algorithm
Integrating Constraints, Composite Objects and Tasks in a Knowledge Representation System
A Novel Knowledge Representation Framework for Computing Sub-Graph Isomorphic Queries in Interaction Network Databases
Partial Attribute-Driven Video Person Re-Identification
Stable Discrete Segmented Reverse Diffusion Model for Solving Class Imbalance in Malicious Websites Detection
Nogood Recording for Static and Dynamic Constraint Satisfaction Problems
Under Uncertainty Trust Estimation through Unknown Agents, in a Multi-valued Trust Environment
A Family of Delphi Components for Case-Based Reasoning
A Biologically Inspired Memory in a Multi-agent Based Robotic Architecture
TFPN: Twin Feature Pyramid Networks for Object Detection
A Learning-Based Evolution of Concept Descriptions for an Adaptive Object Recognition
Contrastive Latent Space Reconstruction Learning for Audio-Text Retrieval
DBERT-ELVA: Discourse-Aware Extractive Text Summarization with Autoencoder
Performance of DBMS implementations of production systems
On Hypergraphical Bayesian Games
Good Learning and Implicit Model Enumeration
Tools for Constraint Satisfaction
Using Constraint Programming to Plan Efficient Data Movement on the Grid
Strong Inverse Consistencies for Non-Binary CSPs
High-Dimensional Software Engineering Data and Feature Selection
Dynamic selection of classifiers based on complexity measures
Massively Parallel Local Search for SAT
Generating the Top $K$ Solutions to Weighted CSPs: A Comparison of Different Approaches
Object Recognition Using Log-Polar Wavelet Mapping
On the Characterization of Inconsistency: A Prime Implicates Based Framework
A Planning Tool for Minimizing Reshuffles in Container Terminals
A Novel Prototype Tool for Intelligent Software Project Scheduling and Staffing Enhanced with Personality Factors
LLMs for Sentiment Analysis in Tourism Reviews: A Resource-Efficient Approach
Classification with Dynamic Data Augmentation
Characterization of Extended and Simplified Intelligent Water Drop (SIWD) Approaches and Their Comparison to the Intelligent Water Drop (IWD) Approach
Computation of Prime Implicates and Prime Implicants by a Variant of the Davis and Putnam Procedure
Consistency of Triangulated Temporal Qualitative Constraint Networks
Rectangular Shape Detection with an Application to License Plate Detection
Independence-Based MAP for Markov Networks Structure Discovery
Actions with Duration and Constraints: the Ramification Problem in Temporal Databases
LURAT: a Lightweight Unsupervised Automatic Readability Assessment Toolkit for Second Language Learners
Visual Change Detection and Policy Learning for Adaptive Autonomous Navigation
Fine-Grained Image Classification Combined with Label Description
Predicting Conserved Hairpin Motifs in Unaligned RNA Sequences
Empirical Evaluation of Optimized Stacking Configurations
A grouping-based AdaBoost method for factor investing
Support Vector Methods for Sentence Level Machine Translation Evaluation
Transfer Learning for Regression through Adaptive Gaussian Process
InFusionLayer: A CFA-Based Ensemble Tool to Generate New Classifiers for Learning and Modeling
Multi-view Spectral Clustering via Tensor-SVD Decomposition
A Hybrid MIP/Heuristic Model for Experience Based Driver Assignment
Design and implementation of a parallel logic programming system
From Offline to Online Kidney Exchange Optimization
A Fuzzy Neural Network Approach to Classification Based on Proximity Characteristics of Patterns
Determining Redundant Actions in Sequential Plans
Weighted Argumentation Systems: A Tool for Merging Argumentation Systems
Incremental Markov-Model Planning
A Novel Fuzzy-Based MOPSO Algorithm for Identifying Clusters From Complex Networks
Monitoring of Discrete Electrical Signals from Welding Processes using Data Mining and IIoT Approaches
Discovering Highly Informative Feature Set over High Dimensions
Conventional and associative memory-based spelling checkers
Towards positive-breakdown radial basis function networks
Integrating External Functions in an Object Oriented Reasoning System
Optimize Pricing Policy in Evolutionary Market with Multiple Proactive Competing Cloud Providers
Online Improved Vehicle Tracking Accuracy via Unsupervised Route Generation
Shape analysis using morphological processing and genetic algorithms
An induction system that learns programs in different programming languages using genetic programming and logic grammars
Strategies for Big Data Clustering
PEAKSEEK: A Statistical Processing Algorithm for Radiation Spectrum Peak Identification
Tols for Experiments in Planning
A Two-Dimensional Genetic Algorithm for Identifying Overlapping Communities in Dynamic Networks
Similarity Calculation Algorithm for Intelligent Electronic Customer Service Problems
Social and Spatio-Temporal Learning for Contextualized Next Points-of-Interest Prediction
Optimal Recursive Designers' Profile Estimation in Collaborative Declarative Environment
A Time-Space Trade-Off for Constraint Networks Decomposition
Decentralized Coalition Structure Formation for Interdependent Tasks Allocation
A Prioritized-Based Approach to Handling Conflicts in Access Control
Improving a Constraint Programming Approach for Parameter Estimation
Humans Predict the Nash Equilibrium as an Outcome of a Multi-Agent Public Goods Game
The Temporal Reasoning Tools TimeGraph I-II
On-the-Fly Lazy Clause Simplification Based on Binary Resolvents
Vision-based Behavioural Modules for Robotic Assembly Systems
A real time control strategy for Bayesian belief networks with application to ship classification problem solving
Online Clustering for Topic Detection in Social Data Streams
A New Tree-Decomposition Based Algorithm for Answer Set Programming
Sensitivity Characterization by Impression and Color Words
Ontology for OpenAPI REST Services Descriptions
A Complete State-Space Based Temporal Planner
Fusing Cooperative Technical-Specification Knowledge Components
A Covert Communication Method Based on User-Generated Content Sites
Abstraction of formal specifications from program code
A Comparison between Two Optimisation Alternatives for Mapping in Wireless Network on Chip
Intelligent Signal Processing for Dust Storm Prediction Using Ensemble Case-Based Reasoning
ComSFI: A Community-Aware Approach to Early Rumor Propagation Prediction
Lightweight Progressive Residual Clique Network for Image Super-Resolution
Skeletons and Techniques for the Systematic Development of Constraint Logic Programs
Bayesian Classification-based Intelligent-agent Data Management over Grid
Transferable Discriminative Dimensionality Reduction
Path consistency revisited