yusuke1997/dblp-id-title huggingface dataset:
COSMO-SIVIC: A first step towards a virtual platform for human centred design of driving assistances
Combining UML with IEC 61131-3 languages to preserve the usability of graphical notations in the software development of complex automation systems
Supervision Functions - Secure Operation of Sustainable Power Systems
Multiple Correspondence Analysis of Fuzzyfied Task Performance and Psycho-Physiological Test Data: Use in Real Car Following Situations
Authority management in human-robot systems
Transitioning to the community: Bridging gaps in patient care
A Shared Control Driving Assistance System : Interest of Using a Driver Model in Both Lane Keeping and Obstacle Avoidance Situations
Technical and emotional intelligence - Friends or enemies?
Identification of allowable key response time of mobile phone
Automated, guideline-oriented usability evaluation of interactive systems
Towards Building a Generic Sensor Cloud for Human-Centric Sensing Applications
Hybrid pattern recognition method to diagnose dynamic systems
Effects of intersystem interference on trust in SA services for mechanized battalions
Personalized Interactive Storyboarding Utilizing Content Based Multimedia Retrieval
Human processor modelling language (HPML): Estimate working memory load trough interaction
Understanding human factors in long-distance vehicle operation
Ecological interface design for teaching assembly operations to industrial robot
System theoretic modeling of human interaction with respect to rule-based driving interactions
Panel on authority distribution in human-machine systems
Identification of visual and auditory design attributes for the affective interaction design in movies
Prevention of human control errors by robust filter for manufacturing system
Sociotechnical Systems Resilience: A Dissonance Engineering Point of View
Support in need is support indeed: Trading of authority between humans and machines
Personalisation of user interfaces concerning individual differences that focus on the structuring and the design of user interfaces
An attempt for conceptual framework for human-machine cooperation
Towards new human-machine systems in contexts involving interactive table and tangible objects
Traffic violations modeling based on BCD model and redundant prediction tools
Remote control of automation systems for training
The Safest Way to Scroll a List: A Usability Study Comparing Different Ways of Scrolling through Lists on Touch Screen Devices
Motivation for a neuromuscular basis for haptic shared control
Comparing measurements of shared situational awareness in a microworld with a developmental environment
Investigating the functionality of different human machine interfaces for cooperative adaptive cruise control
Assessing operator strategies for adjusting replan alerts in controlling multiple unmanned vehicles
Sharing control with elderly drivers: Haptic guidance during curve negotiation
Applying Activity System Model to Human-Related Accident Analysis
Using Usability to Measure Interaction in Final Assembly
Proposal for user-observation design assistant system focused on field work
Supporting situational risk awareness in ship navigation
User-Oriented System for Smart City Approaches
Detection of cognitive distraction via a drier-adaptive sensor fusion
A Vision on Training and Knowledge Sharing Applications in Future Factories
Warning system for avoiding collisions at intersections
Semi-automated driving: How does the supported task affect driver response?
Fundamental needs in wearable computing: Constraints on features & universal access
Development and Validation of a Work Efficiency Test Using Locomotive and Car Passenger
Experimental system for remote airport traffic control center research
Functional hazard analysis of virtual control towers
Towards a Smartphone Based Multimode Sensing
Real-Time Risk Estimation for Better Situational Awareness
An automatic method to reconstruct human movement by considering a reduced number of information: Application to the automobile ingress movement
Himalia: Model-driven user interfaces using hypermedia, controls and patterns
Living system theory as a cybernetic model for design and analysis of adaptive human-computer interface
Suitability of multiple correspondence analysis for a database exploration before inference analysis. example with a driving simulator based study
Situation and intent recognition for risk finding and avoidance
Event-Driven Notation and Hierarchical Automata Semantics for Incremental Task Modeling
CLAIM: A Tool for Analyzing Legal Documents
COMPASS: A Process Mining-based Methodology for Prompt Optimization of Large Language Model Agents
Joint Proceedings of the 3rd International Workshop on Hybrid Artificial Intelligence and Enterprise Modelling for Intelligent Information Systems (HybridAIMS 2025) and the 1st Workshop on Compliance in the Era of Artificial Intelligence (CAI 2025) co-located with the 37th International Conference on Advanced Information Systems Engineering (CAiSE 2025), Vienna, Austria, June 16-17, 2025
iModuleBuddy - A Hybrid AI-Based Academic Planning System
A Mashup-Based Approach for Predictive Compliance Monitoring
Introducing FELA - Flexible Entity Linking Approach
Preface to the Joint Proceedings of HybridAIMS 2025 and CAI 2025
DataPACT: Compliance by Design of Data/AI Operations and Pipelines
SMART: Simultaneous indoor localization and map construction using smartphones
Distributed Information-Theoretic Metric Learning in Apache Spark
Comparative study on dimension reduction techniques for cluster analysis of microarray data
Chinese Named Entity Recognition Based on UCB and Levitated Marker
Models of clifford recurrent neural networks and their dynamics
1-WL Expressiveness Is (Almost) All You Need
Improving Complex Knowledge Base Question Answering with Relation-Aware Subgraph Retrieval and Reasoning Network
A Collaborative NDN Caching with Multi-Agent Deep Reinforcement Learning and Blockchain Incentives
Classification using Multi-SOMs and Multi-Neural Gas
ITC: Influential-Truss Community Search
Cortical dynamics of form perception
Multi-View Semi-Supervised Feature Selection with Graph Convolutional Networks
A gradual neural network approach for broadcast scheduling in packet radio networks
A Multi-granularity Neural Network for Answer Sentence Selection
Image-Compression for Wireless World Wide Web Browsing: A Neural Network Approach
Fast weight calculation for kernel-based perceptron in two-class classification problems
SAFE Ensemble models to classify credit ratings
Similarity-based Prompt Optimization for Distilling Factual Knowledge From Language Models
Comprehensible Convolutional Neural Networks via Guided Concept Learning
FedRecTID: A General Robust Federated Recommendation Framework Based on Target Items Detection
Hardware implementation of echo state networks using memristor double crossbar arrays
A new method for density estimation by using forward neural network
The modular map
Impute Gene Expression Missing Values via Biological Networks: Optimal Fusion of Data and Knowledge
Multi-label imbalanced data enrichment process in neural net classifier training
Scene Understanding for Autonomous Driving Using Visual Question Answering
Outlier detection in the concept drifting environment
Efficient Estimation of Node Representations in Large Graphs using Linear Contexts
Parallelizing Basis Pursuit Denoising
Testability of the arbitrage pricing theory by neural network
NodeDrop: A Method for Finding Sufficient Network Architecture Size
Condensed Composite Memory Continual Learning
Tracking a moving object with mobile robot based on vision
Implantable probe systems for cortical neuroprostheses
Intelligent Deception Detection through Machine Based Interviewing
A novel asynchronous digital spiking neuron model and its various neuron-like bifurcations and responses
Multi-target regression via output space quantization
High accuracy implementation of Adaptive Exponential integrated and fire neuron model
Comprehensive Criterion-Guided Variable Memory Bank for Semi-Supervised Object Detection
Sense-aware BERT and Multi-task Fine-tuning for Multimodal Sentiment Analysis
Hypergraph Prediction Diffusion Transformers for Person Image Synthesis
Forecasting airline seat show rates with neural networks
ART2 based classification of sparse high dimensional parameter sets for a simulation parameter selection assistant
A Comparison of Deep-Learning Methods for Analysing and Predicting Business Processes
Modelling Personalized Dialogue Generation in Multi-Party Settings
Learning Self-Supervised Representations for Label Efficient Cross-Domain Knowledge Transfer on Diabetic Retinopathy Fundus Images
Feature selection forcing overtraining may help to improve performance
Self-organizing maps for time series analysis of electromyographic data
Diversity-Based Pool of Models for Dealing with Recurring Concepts
Quadrivariate Empirical Mode Decomposition
MTPKDistillNet: Multi-Teacher Prior Knowledge Distillation Network for Lung Tumor Surgical Section Image Classification
A Novel Design Method of Multi-Compartment Soma-Dendrite-Spine Model having Nonlinear Asynchronous CA Dynamics and its Applications to STDP-based Learning and FPGA Implementation
Mapping EEG Sensor Networks: Persistent Topology-Driven Learning for Affective States Recognition
A Novel Web Platform for COVID-19 diagnosis using X-Ray exams and Deep Learning Techniques
Solving reliability redundancy allocation problems with orthogonal simplified swarm optimization
ENAO: Evolutionary Neural Architecture Optimization in the Approximate Continuous Latent Space of a Deep Generative Model
Identification of dynamical noise levels in chaotic systems and application to cardiac dynamics analysis
A new error criterion for posterior probability estimation with neural nets
A combined multi-Winner multidirectional associative memory
Detection and recognition on parameters of object's internal structure
Thalamocortical circuitry and alpha rhythm slowing: An empirical study based on a classic computational model
Amurep: Adaptively Multi-layer Region Partitioning for Next POI Recommendation
A novel asynchronous sequential logic model of central pattern generator for quadruped robot: systematic design and efficient implementation
Noise performance of single-electron depressing synapses for neuronal synchrony detection
CS-YOLO: A cross-scale model designed for impact crater detection in Mars remote sensing images
Evolutionary Multitasking CNN Architecture Search for Hyperspectral Image Classification
Application of multiple decision trees for condition monitoring in induction motors
Geometry Sampling for 3D Face Generation via DCGAN
Chaotic phase synchronization for visual selection
Concept Visualization: Explaining the CLIP Multi-modal Embedding Using WordNet
Fisher Pruning for Real-Time UAV Tracking
Image Clustering Based on Supervised Graph Regularized Discriminative Concept Factorization
Foreground-attention in neural decoding: Guiding Loop-Enc-Dec to reconstruct visual stimulus images from fMRI
Combining technical trading rules using parallel particle swarm optimization based on Hadoop
Incremental adaptation of resource-allocating network for non-stationary time series
A fuzzy neural approach to plasma disruption prediction in tokamak reactors
Edge-Guided Multilevel Feature Fusion Network for Lightweight Camouflaged Object Detection
Improving the Style Adaptation for Unsupervised Cross-Domain Person Re-identification
Fundamental Properties of Quaternionic Hopfield Neural Network
Analysis of sequence to sequence neural networks on grapheme to phoneme conversion task
Similarity-based image retrieval considering artifacts by self-organizing map with refractoriness
A New Unsupervised Neural Network for Pattern Recognition with Spiking Neurons
Mining Hubble Space Telescope images
K-mer Neural Embedding Performance Analysis Using Amino Acid Codons
Data-driven iterative adaptive dynamic programming algorithm for approximate optimal control of unknown nonlinear systems
Foundation Models for Hepatocellular Carcinoma: Challenges in Generalization under Data Scarcity
Differential Evolution Aplication in Portfolio optimization for Electricity Markets
WDSF-Mamba: Clothing Parsing via Wavelet Domain Spatial-Frequency Mamba
User to Video: A Model for Spammer Detection Inspired by Video Classification Technology
Quantitative Bayesian Inference by Qualitative Knowledge Modeling
A Tool Wear Prediction Model Based on Attention Mechanism and IndRNN
A Data Stratification Process for Instances Selection in Semi-Supervised Learning
Enhancing ANN-guided MOPSO through Active Learning
Any-to-Any Vision-Language Model for Multimodal X-ray Imaging and Radiological Report Generation
Analysis of Information-Seeking Conversations with Process Mining
Attractor Regimes of Boolean Recurrent Neural Networks subject to STDP and Global Plasticity
TIDE: Affective Time-aware Representations for Fine-grained Depression Identification on Social Media
Clustering by support vector manifold learning
HMeanMax: Placing HMAX and HoG into a unified framework
Effect of Spectrum Occupancy on the Performance of a Real Valued Neural Networl Based Energy Detector
Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees
Fair Weak-Supervised Learning: A Multiple-Instance Learning Approach
On the neural network of a synthetic cerebellum to control fast movements of an arm
Neuron Efficiency Index: An Empirical Method for Optimizing Parameters in Deep Learning
Joint Progressive Knowledge Distillation and Unsupervised Domain Adaptation
RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning
Design of Optimal PI Controllers for Doubly Fed Induction Generators Driven by Wind Turbines Using Particle Swarm Optimization
Reinforcement Learning-based Decentralized Optimal Control for Large-Scale Multi-agent System by Using Neural Networks and Discrete-time Mean Field Games
Alzheimer's disease classification based on gait information
Debiased Prompt Tuning for Vision-Language Models without Annotations
Abnormal Behavior Detection Method in Surveillance Videos Based on a Lightweight Cross-Modal Attention Network
Position Paper: Integrating Explainability and Uncertainty Estimation in Medical AI
Reinforcement Learning for Parameterized Motor Primitives
Memristor synaptic dynamics' influence on synchronous behavior of two Hindmarsh-Rose neurons
SGCA: Signed Graph Contrastive Learning with Adaptive Augmentation
SpikeSEG: Spiking Segmentation via STDP Saliency Mapping
Pattern recognition using constructive algorithms
End-to-end Audio Deepfake Detection from RAW Waveforms: a RawNet-Based Approach with Cross-Dataset Evaluation
Enhancing deep extreme learning machines by error backpropagation
Adversarial Imbalance Classification with Class-Specific Diverse Instance Generation
Targeted Forgetting and False Memory Formation in Continual Learners through Adversarial Backdoor Attacks
Nominal-scale Evolving Connectionist Systems
Data Augmentation in Class-Conditional Diffusion Model for Semi-Supervised Medical Image Segmentation
A method for finding similarity between multi-layer perceptrons by Forward Bipartite Alignment
Functional grouping of genes using spectral clustering and Gene Ontology
Genetic search for optimal ensemble of feature-classifier pairs in DNA gene expression profiles
Defect Correction Method for Software Requirements Text Using Large Language Models
CACnet: Cube Attentional CNN for Automatic Speech Recognition
OCSVM-based Evaluation Method for Generative Neural Networks
Fuzzy Relational Approach to Determine Functional Brain Connectivity in Learning Tasks for Dyslexia Children Using an f-NIRS Device
Deep Scale-Recurrent Mamba for Weather-degraded Remote Sensing Image Restoration
Noise Weighting Phased Prompt Image Editing
Assessing diffusion of spatial features in Deep Belief Networks
SOMICA - an application of self-organizing maps to geometric independent component analysis
Artificial motivations based on drive-reduction theory in self-referential model-building control systems
Optoelectronic Reservoir Computing with VCSEL
A novel dual-stream time-frequency contrastive pretext tasks framework for sleep stage classification
Local linear discriminant analysis with composite kernel for face recognition
On stable learning of block-diagonal recurrent neural networks, part 2: application to the analysis of lung sounds
Neural learning of Kalman filtering, Kalman control, and system identification
Improving the performance of ANN training with an unsupervised filtering method
A data mining approach to solve the goal scoring problem
A Nonparametric Approach for Active Contours
Adaptive critic network for prey-predator systems
Adaptive Parameterized AdaBoost Algorithm with application in EEG Motor Imagery Classification
Feature Boosting, Suppression, and Diversification for Fine-Grained Visual Classification
Cellular Neural Networks with switching two types of templates
Document-Level Event Argument Extraction with Constrained Pooling and Relevance Evaluation
Event Camera Data Classification Using Spiking Networks with Spike-Timing-Dependent Plasticity
MeTHanol: Modularized Thinking Language Models with Intermediate Layer Thinking, Decoding and Bootstrapping Reasoning
Recurrent Neural Network Model of a Fed-Batch Saccharomyces Cerevisiae Fermentation Process
A novel electromyography (EMG) based classification approach for Arabic handwriting
Augmentation of EEG and ECG Time Series for Machine Learning Applications: Integrating Changepoint Detection into the iAAFT Surrogates
Growing Neural Gas based Traversability Clustering for an Autonomous Robot
Hierarchical Dynamic Graph Convolutional Network for Spatio-Temporal Forecasting
Sequential Recommendation with Latent Relation Information
Mining unstructured processes: An exploratory study on a distance learning domain
Cross-language information retrieval using latent semantic indexing and self-organizing maps
Convolutional Normalizing Flows for Deep Gaussian Processes
Modeling human performance with neural networks
Illumination-invariant face recognition from a single image across extreme pose using a dual dimension AAM ensemble in the thermal infrared spectrum
Neuromorphic CMOS Circuits implementing a Novel Neural Segmentation Model based on Symmetric STDP Learning
A prime step in the time series forecasting with hybrid methods: The fitness function choice
Personalized Session-Based Recommendation Using Graph Attention Networks
Nonlinearity and optimal component analysis
A general formulation for learning multi-class posterior probabilities
Character Relationship Refinement Network for Handwritten Mathematical Expression Recognition
A Cross-Domain Neural-based Method to Emotional-Aesthetic Evaluation: From Chinese Painting to Character
Embedding via clustering: using spectral information to guide dimensionality reduction
Fuzzy bio-interface: Indicating logicality from living neuronal network and learning control of bio-robot
Optimizing Time-Step Sampling Probabilities in Diffusion Models for Enhanced Training Efficiency
Neural control of nonlinear systems by frequency response
Identification of Block Ciphers using Support Vector Machines
Quantifying Synchronization in a Biologically Inspired Neural Network
CTF-PSF: Coupled Tensor Factorization with Partially Shared Factors
Speaker Verification using 3-D ROC Curves for Increasing Imposter Rejections
Gender Classification of EEG Signals using a Motif Attribute Classification Ensemble
KTAN: Knowledge Transfer Adversarial Network
QSViT: A Methodology for Quantizing Spiking Vision Transformers
EEG-based biometric identification using local probability centers
A Fast Learning Complex-valued Neural Classifier for real-valued classification problems
Data-dependent kernels for high-dimensional data classification
Pose invariant face recognition using Cellular Simultaneous Recurrent Networks
PUDet: Advancing 3D Object Detection with Generative Upsampling Networks
GA-Based Supervised Learning of Neocognitron
Adaptive filtering based on extended kernel recursive maximum correntropy
Predicting Heating Sliver in Duplex Stainless Steels Manufacturing through Rashomon Sets
Improving Knowledge Tracing with Diverse Question Factors
OXRAM based ELM architecture for multi-class classification applications
Multiple Fake Classes GAN for Data Augmentation in Face Image Dataset
pFedBEA: Combatting Data Heterogeneity for Personalized Federated Learning by Body Exchange and Aggregation Abandon
Adaptive neural control of pure-feedback stochastic nonlinear systems with multiple unknown time-varying delays
Investigating models of social development using a humanoid robot
Semi-supervised learning from imperfect data through particle cooperation and competition
An Uninterpretable Right: Legal and Practical Limits of the Right to an Explanation
Design and Evaluation of Neural Networks for Coin Recognition by Using GA and SA
FASN: Feature Aggregate Side-Network for Open-Vocabulary Semantic Segmentation
Improving Fast Adaptive Stacking of Ensembles
John Gerald Taylor: Comrade, polymath, and consummate neuroscientist - Reminiscences of life together under the Aegis of INNS
Neural network methods for rule induction
Evolutionary classifier ensembles for semi-supervised learning
Influence of dendritic spines shape changes by learning
RNTS: Robust Neural Temporal Search for Time Series Classification
AST-path Based Compare-Aggregate Network for Code Clone Detection
Question Answering over Knowledge Base using Language Model Embeddings
Fully-automatic segmentation of the ciliary muscle using anterior segment optical coherence tomography images
Federated Variational Autoencoder for Collaborative Filtering
International Joint Conference on Neural Networks, IJCNN 2010, Barcelona, Spain, 18-23 July, 2010
TF-GeneNAS: An evolution-based training-free approach to Neural Architecture Search
Few-shot Federated Learning in Randomized Neural Networks via Hyperdimensional Computing
Instance-Level Trojan Attacks on Visual Question Answering via Adversarial Learning in Neuron Activation Space
The learning behavior of single neuron classifiers on linearly separable or nonseparable input
Continuous State Estimation With Synapse-constrained Connectivity
Geometry-Aware Convolutional Neural Networks on SPD Manifolds
Iterative Progressive Reasoning Network for Event Causality Identification
Geometric spherical networks for Visual Data processing
Forecasting Power Grid States for Regional Energy Markets with Deep Neural Networks
Topological chaos and chaotic iterations application to hash functions
Stability of a neural predictive controller scheme on a neural model
Dependency-Aware Method Naming Framework with Generative Adversarial Sampling
Distinguishing Highly Correlated Patterns using a Context Based Aproach in Bidirectional Associative Memory
Improving Barnes-Hut t-SNE Scalability in GPU with Efficient Memory Access Strategies
Deep Learning and One-class SVM based Anomalous Crowd Detection
A bridge-islands model for brains: Developing numeric circuits for logic and motivation
Modelling and simulation of large neural networks
Parallel feature selection based on the trace ratio criterion
Enhanced Rotational Invariant Convolutional Neural Network for Supernovae Detection
One for All: An End-to-End Compact Solution for Hand Gesture Recognition
DDYOLO: Efficient Rainy Scene Object Detection with Deraining Guidance
Seasonal-trend and multiobjective ensemble learning model for water consumption forecasting
A note on adaptive Lp regularization
Discrete Synapse Recurrent Neural Network for nonlinear system modeling and its application on seismic signal classification
Adversarial Training of Variational Auto-encoders for Continual Zero-shot Learning(A-CZSL)
On-line Bayesian change detection scheme for unknown nonlinear systems via sequential Monte Carlo
Adaptive Diagonalization for Canonical Correlation Analysis
An Effective Approach to Class-Wise Unlearning in Pre-trained Encoders for Contrastive Learning
Teach Structure Features to Cooperate with Node Embeddings in Link Prediction
A directional multi-resolution ridgelet network
Quantization Modes for Neural Network Inference: ASIC Implementation Trade-offs