yusuke1997/dblp-id-title huggingface dataset:
Boosting Diagnostic Accuracy of Osteoporosis in Knee Radiograph Through Fine-Tuning CNN
Visualization of Small World Networks Using Similarity Matrices
Suitability of Data Models for Electronic Health Records Database
Routing Protocol Security for Low-Power and Lossy Networks in the Internet of Things
Decentralized Online Examination Platforms Employing Smart Contracts for Security
Precision/Recall Trade-Off Analysis in Abnormal/Normal Heart Sound Classification
Big Data Analytics - 4th International Conference, BDA 2015, Hyderabad, India, December 15-18, 2015, Proceedings
Pattern Recognition in Large-Scale Data Sets: Application in Integrated Circuit Manufacturing
Gossip Based Distributed Real Time Task Scheduling with Guaranteed Performance on Heterogeneous Networks
Complex Network Characteristics and Team Performance in the Game of Cricket
Data Challenges and Societal Impacts - The Case in Favor of the Blueprint for an AI Bill of Rights (Keynote Remarks)
Comparing Performance of Classifiers Applied to Disaster Detection in Twitter Tweets - Preliminary Considerations
Holistic Analysis of Multi-source, Multi-feature Data: Modeling and Computation Challenges
WireLlama - Agentic Query System for PCAP Analysis
Efficient Self-Supervised Contrastive Learning with Representation Mixing
Job Routing in Multi-site Print Shop Environment
Smart Energy Management: A Computational Approach
Analysis of Narcolepsy Based on Single-Channel EEG Signals
Approximate Query Processing with Error Guarantees
Explaining Finetuned Transformers on Hate Speech Predictions Using Layerwise Relevance Propagation
Enhanced Stock Price Prediction with DES-ED-Bi-GRU Using Smooth Maximum Unit Activation Function
Matrix Factorization of Large Scale Data Using Block Based Approach and GPU Acceleration
Genomics 3.0: Big-data in Precision Medicine
A Model of Virtual Crop Labs as a Cloud Computing Application for Enhancing Practical Agricultural Education
A Flexible and Efficient Indexing Scheme for Placement of Top-Utility Itemsets for Different Slot Sizes
Cosmic Density Field Reconstruction with a Sparsity Prior Using Images of Distant Galaxies
Copyright Infringement Detection of Music Videos on YouTube by Mining Video and Uploader Meta-data
Local Temporal Compression for (Globally) Evolving Spatial Surfaces
Recent Advances and Challenges in Design of Non-goal-Oriented Dialogue Systems
Discovering Spatial High Utility Frequent Itemsets in Spatiotemporal Databases
Design of Algorithms for Big Data Analytics
Efficient Algorithms for Flock Detection in Large Spatio-Temporal Data
Materialized View Selection Using Simulated Annealing
Density and Connectivity-Based Neighbor Relationship Materialization for Discovering Prevalent Co-location Patterns
Integration of Text Classification Model with Speech to Text System
Parallel Evolving Clustering Method for Big Data Analytics Using Apache Spark: Applications to Banking and Physics
AI-Powered Threat Detection
Big-Data - Theoretical, Engineering and Analytics Perspective
The Language of Nuance: Exploring the Limits of Large Language Models in Handling Ambiguity
A Framework to Harvest Page Views of Web for Banner Advertising
From Silos to Unity: Seamless Cross-Platform Gaming by Leveraging Blockchain Technology
Video Indexing System Based on Multimodal Information Extraction Using Combination of ASR and OCR
CbI: Improving Credibility of User-Generated Content on Facebook
A Novel Aspect-Based Deep Learning Framework (ADLF) to Improve Customer Experience
HPC-CleanSeq: A Tool for Contamination Removal in Big RNA-Seq Datasets
Big Data Analytics, First International Conference, BDA 2012, New Delhi, India, December 24-26, 2012. Proceedings
Big Data Analytics in Astronomy, Science, and Engineering - 10th International Conference on Big Data Analytics, BDA 2022, Aizu, Japan, December 5-7, 2022, Proceedings
Analog Textual Entailment and Spectral Clustering (ATESC) Based Summarization
FopLAHD: Federated Optimization Using Locally Approximated Hessian Diagonal
Formal Analysis of the EMV Protocol Suite
Union and Intersection Types for Secure Protocol Implementations
Modeling Long-Term Signature Validation for Resolution of Dispute
Multiple Congruence Relations, First-Order Theories on Terms, and the Frames of the Applied Pi-Calculus
Secure Composition of Protocols
G2C: Cryptographic Protocols from Goal-Driven Specifications
Model-Checking Secure Information Flow for Multi-threaded Programs
Constructive Cryptography - A New Paradigm for Security Definitions and Proofs
Theory of Security and Applications - Joint Workshop, TOSCA 2011, Saarbrücken, Germany, March 31 - April 1, 2011, Revised Selected Papers
Security Goals and Protocol Transformations
Formal Analysis of Privacy for Anonymous Location Based Services
Automated Code Injection Prevention for Web Applications
Soundness of Removing Cancellation Identities in Protocol Analysis under Exclusive-OR
Aligning Experientially Grounded Ontologies Using Language Games
Boolean Formulas of Simple Conceptual Graphs ( $\mathcal{SGBF}$ )
Usage Patterns Identification Using Graphs and Machine Learning
Formal Concept Analysis over Graphs and Hypergraphs
Representing and Reasoning About Logical Network Topologies
From Enterprise Concepts to Formal Concepts: A University Case Study
A Semantic Web Interface Using Patterns: The SWIP System
Subjective Networks: Perspectives and Challenges
Inductive Triple Graphs: A Purely Functional Approach to Represent RDF
Graph Structures for Knowledge Representation and Reasoning - Third International Workshop, GKR 2013, Beijing, China, August 3, 2013. Revised Selected Papers
Exploring, Reasoning with and Validating Directed Graphs by Applying Formal Concept Analysis to Conceptual Graphs
Learning Bayesian Networks with Non-Decomposable Scores
Set Visualisations with Euler and Hasse Diagrams
Collaborative Design and Manufacture: Information Structures for Team Formation and Coordination
Graph Theoretical Properties of Logic Based Argumentation Frameworks: Proofs and General Results
A Depth-First Branch and Bound Algorithm for Learning Optimal Bayesian Networks
Information Revelation Strategies in Abstract Argument Frameworks Using Graph Based Reasoning
An Overview of Argumentation Frameworks for Decision Support
Graph Structures for Knowledge Representation and Reasoning - 6th International Workshop, GKR 2020, Virtual Event, September 5, 2020, Revised Selected Papers
Finding Maximal Common Sub-parse Thickets for Multi-sentence Search
Implementation of a Knowledge Representation and Reasoning Tool Using Default Rules for a Decision Support System in Agronomy Applications
Supporting Argumentation Systems by Graph Representation and Computation
Active Semantic Relations in Layered Enterprise Architecture Development
Local Characterizations of Causal Bayesian Networks
Combinatorial Results on Directed Hypergraphs for the SAT Problem
Counting and Conjunctive Queries in the Lifted Junction Tree Algorithm
Subjective Bayesian Networks and Human-in-the-Loop Situational Understanding
Conceptual Graphs for Formally Managing and Discovering Complementary Competences
Creative Composition Problem: A Knowledge Graph Logical-Based AI Construction and Optimization Solution - Applied in Cecilia: An Architecture of a Digital Companion Artificial Intelligence (AI) Agent System Composer of Dialogue Scripts for Well-Being and Mental Health
Bucket and Mini-bucket Schemes for M Best Solutions over Graphical Models
Different Classes of Graphs to Represent Microstructures for CSPs
Bring User Interest to Related Entity Recommendation
Galois Connections for Patterns: An Algebra of Labelled Graphs
A Natural Language Generation Technique for Automated Psychotherapy
Designing a Knowledge Representation Tool for Subject Matter Structuring
Structural Consistency: A New Filtering Approach for Constraint Networks
RDF-SQ: Mixing Parallel and Sequential Computation for Top-Down OWL RL Inference
Intrusion Detection with Hypergraph-Based Attack Models
Graph Structures for Knowledge Representation and Reasoning - 5th International Workshop, GKR 2017, Melbourne, VIC, Australia, August 21, 2017, Revised Selected Papers
A Belief Update System Using an Event Model for Location of People in a Smart Home
Visualizing ALC Using Concept Diagrams
Visually Interacting with a Knowledge Base Using Frames, Logic, and Propositional Graphs
Conflict, Consistency and Truth-Dependencies in Graph Representations of Answer Set Logic Programs
Graph Structures for Knowledge Representation and Reasoning - 4th International Workshop, GKR 2015, Buenos Aires, Argentina, July 25, 2015, Revised Selected Papers
Learning Bayes Nets for Relational Data with Link Uncertainty
Representing CSPs with Set-Labeled Diagrams: A Compilation Map
Automatic Strengthening of Graph-Structured Knowledge Bases - Or: How to Identify Inherited Content in Concept Graphs
Graph Structures for Knowledge Representation and Reasoning - Second International Workshop, GKR 2011, Barcelona, Spain, July 16, 2011. Revised Selected Papers
Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification
Large Language Models on Mobile Devices: Measurements, Analysis, and Insights
Proceedings of the Workshop on Edge and Mobile Foundation Models, EdgeFM 2024, Minato-ku, Tokyo, Japan, June 3-7, 2024
Are Large Language Models Capable of Causal Reasoning for Sensing Data Analysis?
WiP: A Solution for Reducing MLLM-Based Agent Interaction Overhead
Towards a Task-agnostic Distillation Methodology for Creating Edge Foundation Models
Hybrid SLM and LLM for Edge-Cloud Collaborative Inference
WiP: Towards Light Adaptation of Large Language Models For Personal Hardware
ChainStream: A Stream-based LLM Agent Framework for Continuous Context Sensing and Sharing
WiP: Efficient LLM Prefilling with Mobile NPU
WiP: An On-device LLM-based Approach to Query Privacy Protection
The Roles of Fuzzy Logic and Soft Computing in the Conception, Design and Deployment of Intelligent Systems
Information Agents for the World Wide Web
An Application of Social Filtering to Movie Recommendation
Artificial Societies and Psychological Agents
Agents of Change in Business Process Management
Multi-Agent Matchmaking
Intelligent Software Systems
Machine Intelligibility and the Duality Principle
Towards Soft Computing
Co-ordination in Multi-Agent Systems
The Rise of Machine Intelligence
An Introduction to Soft Computing - A Tool for Building Intelligent Systems
Sofware Agent Technologies
Software Agents and Soft Computing: Towards Enhancing Machine Intelligence, Concepts and Applications
An Introduction to Agent Technology
Basic Concepts of a Fuzzy Logic Data Browser with Applications
Agents, Mobility and Multimedia Information
Automatic iris mask refinement for high performance iris recognition
Person authentication with RDTW based on handwritten PIN and signature with a novel biometric smart pen device
A facial presence monitoring system for information security
Multi-level iris video image thresholding
Minimizing the number of bits needed for iris recognition via Bit Inconsistency and GRIT
Inverse operation and preimage attack on BioHashing
Enhancing security through a hybrid multibiometric system
An efficient dual stage approach for iris feature extraction using interest point pairing
Effects of image compression on iris recognition performance and image quality
Artificial neural network based automatic face parts prediction system from only fingerprints
2009 IEEE Workshop on Computational Intelligence in Biometrics: Theory, Algorithms, and Applications, CIB 2009, Nashville, TN, USA, March 30, 2009
On the feasibility of the visible wavelength, at-a-distance and on-the-move iris recognition
Transforming traditional iris recognition systems to work on non-ideal situations
Using artificial neural networks and feature saliency to identify iris measurements that contain the most discriminatory information for iris segmentation
Secure and simplified access to home appliances using Iris recognition
Geometric Transformation: Tactile Data Augmentation for Robotic Learning
Kx-trees: An unsupervised learning method for use in developmental agents
Object-Centric Action-Enhanced Representations for Robot Visuo-Motor Policy Learning
An Ethological Analysis of Developmental Behavior in Machines
2010 IEEE 9th International Conference on Development and Learning, ICDL 2010, Ann Arbor, MI, USA, August 18-21, 2010
Goal Space Abstraction in Hierarchical Reinforcement Learning via Set-Based Reachability Analysis
Intrinsically motivated information foraging
Caregiver Talk Shapes Toddler Vision: A Computational Study of Dyadic Play
Bootstrapping inverse kinematics with Goal Babbling
Don't Forget to Buy Milk: Contextually Aware Grocery Reminder Household Robot
Ablation Study to Clarify the Mechanism of Object Segmentation in Multi-Object Representation Learning
Exploring the Role of Structure in a Time Constrained Decision Task
Personalized Motion Retargeting through Bidirectional Human-Robot Imitation
Prosody-Based Vocal Emotional Alignment in Infant-Caregiver Interaction
Accessible Automation: Evaluating Object Segmentation Solutions for Parent-Child Interaction Research
Inculcating Morality in Machines...Applying Machine Ethics in the Creation of Ethically Intelligent Robots: The Case Study of Xiaoice
Discovering sensor space: Constructing spatial embeddings that explain sensor correlations
A Low-Computation Approach to Point Cloud Filtering via Lidar and Camera Fusion
Standoff: Benchmarking Representation Learning for Nonverbal Theory of Mind Tasks
Game of Marine Robots: USV Pursuit Evasion Game Using Online Reinforcement Learning
A Preference Learning System for the Autonomous Selection and Personalization of Entertainment Activities during Human-Robot Interaction
MIMo grows! Simulating body and sensory development in a multimodal infant model
The Ungrounded Alignment Problem
Feedback-Driven Incremental Imitation Learning Using Sequential VAE
Who Said What (WSW 2.0)? Enhanced Automated Analysis of Preschool Classroom Speech
A Developmental Method that Computes Optimal Networks without Post-Selections
Forming robot trust in heterogeneous agents during a multimodal interactive game
Robots or Peers? Evaluating Young Children's Attitudes Towards Robots Using the Intergroup Contact Theory
Interacting with Other Agents Without a-priori Knowledge: a Radical Interactionist Architecture Developing From the Ground-Up the Ability to Infer Motivations and Predict Behaviour
Learning from Faces and Favourite Toys: Effects of Domain and Classification Level on Robustness
Safe Human-Machine Cooperative Game with Level-k Rationality Modeled Human Impact
Abnormal Object Detection of the Transmission Lines with YOLOv5 and Federated Learning
Modeling Infant Free Play Using Hidden Markov Models
Explore-Exploit Behaviors During Rat-Robot Interactions Optimize Social and Spatial Security
When Eyes Tell a Story ... An Eye-Tracking Approach Towards Creating a Fit-for-Purpose Learning Management System for Higher Education
Dual-Language Storybooks as a Word Learning Tool for Single-Language Learners
Learning Conditionally Independent Transformations using Normal Subgroups in Group Theory
Active Gaze Control for Foveal Scene Exploration
Using virtual reality and psychophysics to test embodied cognitive flexibility in children with ADHD
Robot Imitation of Polishing Motions by Observing Humans: From Human Non-Verbal Cues to Stable Limit Cycles
BLANKET: Anonymizing Faces in Infant Video Recordings
Dream to Pose in a Tendon-Driven Manipulator with Muscle Synergy
Purpose-driven Open-Ended Learning: biasing OEL through external guidance
IEEE International Conference on Development and Learning, ICDL 2024, Austin, TX, USA, May 20-23, 2024
GAN Inversion Based Point Clouds Denoising in Foggy Scenarios for Autonomous Driving
A New Recursive Approach to Sparse Representation
Generative to Discriminative Knowledge Distillation for Object Affordance
Where is My Favourite Toy? Inferring the Mental States of Users in False Belief Understanding
Self-supervised learning framework for speaker localisation with a humanoid robot
IEEE International Conference on Development and Learning, ICDL 2022, London, United Kingdom, September 12-15, 2022
IEEE International Conference on Development and Learning, ICDL 2021, Beijing, China, August 23-26, 2021
Toddlers' transitions on non-verbal false-belief tasks involving a novel location: A constructivist connectionist model
Benchmarking shape completion methods for robotic grasping
Behavioral Modeling of Pedestrian Agents: A Value-Driven Approach
Gestalt Perception of Biological Motion: A Generative Artificial Neural Network Model
Push, See, Predict: Emergent Perception Through Intrinsically Motivated Play
Inverse reinforcement learning for dexterous hand manipulation
Understanding Context Dependence in Time Perception in Autism Spectrum Disorders: A Computational Study
Learning, Development, and Emergence of Compositionality in Natural Language Processing
Priority-Objective Reinforcement Learning
Automated Detection of Faces in Infant and Parent First-Person Views During Play
Real-world Classification of Caregiver Sensitivity to Infant Distress
Adaptive Fractional Order Proportional Integral Derivative Control for a Shape Memory Alloy Driven Puncture Platform
Goal-Conditioned Flexible Object Manipulation by Self-Supervised Learning from Play
Robot Episodic Memory to 'Learn, Remember and Anticipate' User Interactions for Proactive Assistance
The Role of Conflicting Cues in Children's Partner Selection
Vision-Based Tactile Sensing for an Omni-Adaptive Soft Finger
Dynamical Driving Interactions between Human and Mentalizing-designed Autonomous Vehicle
The Theories and Impact of Mechanical Creation in Digital Art and Design Learning
Simulating a Human Fetus in Soft Uterus
A developmental approach to the emergence of communication in socially situated embodied agents
Fixed-Time Consensus for High-Order Multi-Agent Systems with Nonlinear Uncertainties and Disturbances via Event-Triggered Control
Visual Explanations: Activation-Based Acute Lymphoblastic Leukemia Cell Classification
Modeling for Magnetic Shape Memory Alloy Actuators Using a Modified Generalized Prandtl-Ishlinskii Model
Saccade Amplitude Statistics are Explained by Cortical Magnification
Robot Learning Theory of Mind through Self-Observation: Exploiting the Intentions-Beliefs Synergy
Robots with Different Embodiments Can Express and Influence Carefulness in Object Manipulation
A Graph-Theory Approach for Testing Children's Block Construction
Novel Methods Inspired by Reinforcement Learning Actor-Critic Mechanism for Eye-in-Hand Calibration in Robotics
Leg Transmission Mechanism for Enhanced Load-Carrying Capacity: Knee Joint Torque Optimization Design
Multimodal Pathways to Joint Attention in Naturalistic Contexts
Imitation learning with hierarchical actions
Getting Priorities Right: Intrinsic Motivation with Multi-Objective Reinforcement Learning
Hierarchical Latent Dynamics Model with Multiple Timescales for Learning Long-Horizon Tasks
Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics
Measuring predictability in the home environment using daylong audio recordings
A Novel Learning-based Approach for Dual-Arm Robot Operation Point Selection
Multi-scale analysis of vocal coordination in infant-caregiver daily interaction
Drives and Impulses: Shaping Motivation and Procedural Learning for Humanoid Robots
Planning to Build Soma Blocks Using a Dual-arm Robot
Compositionality and Generalization in Emergent Communication Using Metropolis-Hastings Naming Game
A human fetus development simulation: Self-organization of behaviors through tactile sensation
Learning to look
Online Prediction of Novel Trajectories Using a Library of Movement Primitives
Multimodal Maternal Input: Exploring the Dynamics of Joint Attention in Naturalistic Infant-Caregiver Interactions
Specific hand motion patterns correlate to miscommunications during dyadic conversations
Unexpected Capability of Homeostasis for Open-ended Learning
ADEL: Autonomous Developmental Evolutionary Learning for Robotic Manipulation
What Kind of Player are You? Continuous Learning of a Player Profile for Adaptive Robot Teleoperation
Batch versus interactive learning by demonstration
Unsupervised Learning of Shape-invariant Lie Group Transformer by Embedding Ordinary Differential Equation
Embodied Attention in Word-Object Mapping: A Developmental Cognitive Robotics Model
Using Infant Limb Movement Data to Control Small Aerial Robots
Recurrence Plots of Mother-Child Autonomic Nervous System Predict Mother's Stress
Discovering the concept of anaphora from grounded verb models
Unified Attention Modeling for Efficient Free-Viewing and Visual Search via Shared Representations
Simulating Early Childhood Drawing Behaviors under Physical Constraints Using Reinforcement Learning
Learn It First: Grounding Language in Compositional Event-Predictive Encodings
Enabling the Sense of Self in a Dual-Arm Robot
State Representation Learning for Task and Motion Planning in Robot Manipulation
ScoopNet: 6DOF Pose Estimation pipeline for Origami-inspired Worm Robots
Parents and Children Jointly Create Multimodal Semantic Regularities During Naturalistic Toy Play
Emergence of Continuous Signals As Shared Symbols Through Emergent Communication
Prenatal to postnatal transfer of motor skills through motor-compatible sensory representations
Self-Supervised Embodied Learning for Semantic Segmentation
Approaching Sound Object with Sensorimotor Coordination when Sensors Partially Damaged
Teaching a Robot to Read Faces: Incremental Emotion Learning with Selective Visual Attention
IEEE International Conference on Development and Learning, ICDL 2025, Prague, Czech Republic, September 16-19, 2025
Vision-Touch Fusion for Predicting Grasping Stability Using Self Attention and Past Visual Images
Why are Nouns Learned Earlier Than Verbs? Infant's Multimodal Experiences During Object Play
Using RoboChick to Identify the Behavioral Features Promoting Social Interactions
Vocal Dynamics of Caregiver-Child Interactions During Shared Book Reading Sessions *
Decentralized Collective World Model for Emergent Communication and Coordination
Recognizing behaviors and the internal state of the participants
Investigating word learning processes in an artificial agent
Brain-inspired probabilistic generative model for double articulation analysis of spoken language
Developmental Scaffolding with Large Language Models
The similarity-attraction effect in human-robot interaction
Morphological Wobbling Can Help Robots Learn
Early Detection of Visual Impairments at Home Using a Smartphone Red-Eye Reflex Test
Hybrid Visual Servoing Tracking Control of Uncalibrated Robotic Systems for Dynamic Dwarf Culture Orchards Harvest
Homeostasis Driven Learning and Development in an Autonomous Robot
The Importance of Growing Up: Progressive Growing GANs for Image Inpainting
IEEE International Conference on Development and Learning, ICDL 2023, Macau, China, November 9-11, 2023
I Have Seen that Before: Memory Augmented Neural Network for Learning Affordances by Analogy
A Closer Look at Reward Decomposition for High-Level Robotic Explanations
Distribution of object types of "light" and "heavy" early-learned English verbs
Robotic Imitation of Human Actions
Predictability-Based Curiosity-Guided Action Symbol Discovery
The role of social cues in infants' word segmentation when interacting with a Furhat Robot
Learning, Fast and Slow: A Goal-Directed Memory-Based Approach for Dynamic Environments
Exploring within-task calibration in free-flowing manual sampling in 9-month-olds
Prerequisite Structure Discovery in Intelligent Tutoring Systems
An Affordance-Based Intersubjectivity Mechanism to Infer the Behaviour of Other Agents
Using Context to Adapt to Sensor Drift
Navigation and Cognitive Load in Telepresence Robots
Learning English Writing Skills from Images
A 3 RNN: Bi-directional Fusion of Bottom-up and Top-down Process for Developmental Visual Attention in Robots
Real time targeted exploration in large domains
Tactile guidance for policy refinement and reuse
Experimental Evidence that Empowerment May Drive Exploration in Sparse-Reward Environments
Serial order in an acting system: A multidimensional dynamic neural fields implementation