yusuke1997/dblp-id-title huggingface dataset:
A DSP-based implementation of an instantaneous current control for a three-phase shunt hybrid power filter
Efficient pricing of options in jump-diffusion models: Novel implicit-explicit methods for numerical valuation
Nonparametric time series forecasting with dynamic updating
A multiscale collocation method for fractional differential problems
Algorithmic detection of hypercircles
Dynamics of a discrete-time mixed oligopoly Cournot-type model with three time delays
Stencil and kernel optimisation for mesh-free very high-order generalised finite difference method
Numerical study on radiative MHD flow of viscoelastic fluids with distributed-order and variable-order space fractional operators
A novel varistructure grey forecasting model with speed adaptation and its application
Is there a case for domestic inflation target?
A decentralized strategy for generalized Nash equilibrium with linear coupling constraints
A posteriori error estimates applied to flow in a channel with corners
Constructing approximate diffusion processes with uncertain data
Wave front behavior of traveling wave solutions for a PDE having square-root dynamics
Validation of lattice Boltzmann based software for blood flow simulations in complex patient-specific arteries against traditional CFD methods
Finite element approach to modelling evolution of 3D shape memory materials
Integrodifferential approach to solution of eddy currents in linear structures with motion
Comparison of low discrepancy mesh methods for pricing Bermudan options under a Lévy process
Transfer capabilities of Seq2Seq and Seq2Point CNN architectures in Non-intrusive Load Monitoring with unseen appliances
Numerical simulation of 3D vorticity dynamics with the Diffused Vortex Hydrodynamics method
Numerical simulation of stochastic ordinary differential equations in biomathematical modelling
Monte Carlo implementation of financial simulation on Cell/B.E. multi-core processor
An efficient scalar auxiliary variable partitioned projection ensemble method for simulating surface-groundwater flows
Compromising with corrector step of SIMPLE Algorithm
Local interpolation schemes for landmark-based image registration: A comparison
DBD lamp converter design using an electrical model of the load
A new EP-based α-β-γ-δ filter for target tracking
Numerical approximate controllability for unidimensional parabolic integro-differential equations
Thermal model of precast concrete curing process: Minimizing energy consumption
Determination of flux directions by thermodynamic network analysis: Computing informative metabolite pools
Learning to traverse doors using visual information
Convergence of a numerical method for the solution of non-standard integro-differential boundary value problems
Analysis and controllability of diabetes model for experimental data by using fractional operator
Improved finite-time zeroing neural networks for time-varying complex Sylvester equation solving
Modelling financial contagion and optimal policy design for bank runs and systemic risk
On the stability of finite-volume schemes on non-uniform meshes
A path-independent approach to integrated variance under the CEV model
A promising exponentially-fitted two-derivative Runge-Kutta-Nyström method for solving y′′=f(x,y): Application to Verhulst logistic growth model
Preconditioned progressive iterative approximation for tensor product Bézier patches
Combined nonstandard numerical methods for ODEs with polynomial right-hand sides
The derivation and the computation of kinematic boundary condition
Multidisciplinary and multi-scale computational field simulations - Algorithms and applications
Non-uniform L1/discontinuous Galerkin approximation for the time-fractional convection equation with weak regular solution
Complex dynamics of a three-dimensional continuous-time autonomous system
Electron-phonon interaction in nanowires: A Monte Carlo study of the effect of the field
Pattern dynamics analysis of a reaction-diffusion network propagation model
A component-based topology model for railway interlocking systems
Distributionally-Informed Recommender System Evaluation
RADio* - An Introduction to Measuring Normative Diversity in News Recommendations
Breaking Feedback Loops in Recommender Systems with Causal Inference
Examining the User Evaluation of Multi-List Recommender Interfaces in the Context of Healthy Recipe Choices
Ranking the causal impact of recommendations under collider bias in k-spots recommender systems
Building Human Values into Recommender Systems: An Interdisciplinary Synthesis
Review-Based Explainable Recommendations: A Transparency Perspective
Social Perception with Graph Attention Network for Recommendation
KPAR: Knowledge-aware Path-based Attentive Recommender with Interpretability
Enhancing Recommender Systems: Deep Modality Alignment with Large Multi-Modal Encoders
Intent-Satisfaction Modeling: From Music to Video Streaming
A Systematic Study on Reproducibility of Reinforcement Learning in Recommendation Systems
User Cold-Start Learning in Recommender Systems using Monte Carlo Tree Search
Introduction to the Special Issue on Knowledge Transferring for Recommender Systems
Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models
GRIDS: Personalized Guideline Recommendations while Driving Through a New City
Generating Usage-related Questions for Preference Elicitation in Conversational Recommender Systems
Improving Effectiveness by Reducing Overconfidence in Large Catalogue Sequential Recommendation with gBCE loss
A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems
Multi-Interest Multi-Round Conversational Recommendation System with Fuzzy Feedback Based User Simulator
Communication-Efficient Federated Neural Collaborative Filtering with Multi-Armed Bandits
Learning Hierarchical Spatial Tasks with Visiting Relations for Next POI Recommendation
Explainable Meta-Path Based Recommender Systems
Deep Learning of Dynamic POI Generation and Optimisation for Itinerary Recommendation
A Privacy Preserving System for Movie Recommendations Using Federated Learning
Modelling Concept Drift in Dynamic Data Streams for Recommender Systems
Dynamic Bi-layer Graph Learning for Context-aware Sequential Recommendation
Disentangled Cascaded Graph Convolution Networks for Multi-Behavior Recommendation
Dynamic Fairness-aware Recommendation Through Multi-agent Social Choice
A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems
Introduction to the Special Issue on Perspectives on Recommender Systems Evaluation
Enhancing Item-level Bundle Representation for Bundle Recommendation
Reinforcement Learning for Intra- & Inter-Node Recommender Data Pipeline Optimization
Pone-GNN: Integrating Positive and Negative Feedback in Graph Neural Networks for Recommender Systems
Improved paper recommendation model incorporating knowledge graph embedding with IRGAN model
Formalizing Multimedia Recommendation through Multimodal Deep Learning
Efficient Session-based Recommendation with Contrastive Graph-based Shortest Path Search
A Survey on Intent-aware Recommender Systems
Impression-Aware Recommender Systems
UISA: User Information Separating Architecture for Commodity Recommendation Policy with Deep Reinforcement Learning
Modeling and Analyzing the Influence of Non-Item Pages on Sequential Next-Item Prediction
Topic-Centric Explanations for News Recommendation
Intention-sensitive Preference Learning Network for Personalized Session-based Recommendation
Personalized Cadence Awareness for Next Basket Recommendation
Revisiting Bundle Recommendation for Intent-aware Product Bundling
Don't Get Bored: Enhancing Scalability and Diversity in Session-Based Slate Recommendation
Graph Learning Augmented Heterogeneous Graph Neural Network for Social Recommendation
Impact of Tone-Aware Explanations in Recommender Systems
Heterogeneous Hypergraph Neural Network for Social Recommendation using Attention Network
Measuring Commonality in Recommendation of Cultural Content to Strengthen Cultural Citizenship
Pairwise Intent Graph Embedding Learning for Context-aware Recommendation with Knowledge Graph
CRS-Que : A User-centric Evaluation Framework for Conversational Recommender Systems
Personalised Multi-modal Interactive Recommendation with Hierarchical State Representations
ACM Transactions on Recommender Systems: Inaugural Issue Editorial
Recommending Target Actions Outside Sessions in the Data-poor Insurance Domain
An Explicitly Weighted GCN Aggregator based on Temporal and Popularity Features for Recommendation
FedRL: A Reinforcement Learning Federated Recommender System for Efficient Communication Using Reinforcement Selector and Hypernet Generator
Towards Simulation-Based Evaluation of Recommender Systems with Carousel Interfaces
Constrained Off-policy Learning over Heterogeneous Information for Fairness-aware Recommendation
Self-Supervised Bot Play for Transcript-Free Conversational Critiquing with Rationales
Efficient Optimization of Sparse User Encoder Recommenders
KGFlex: Efficient Recommendation with Sparse Feature Factorization and Knowledge Graphs
Towards Automated Model Design on Recommender Systems
A Comprehensive Survey on Automated Machine Learning for Recommendations
A Survey on Trustworthy Recommender Systems
Solving the Contextual Pure Cold-Start Problem under Uncertainty
Search-based Time-aware Graph-enhanced Recommendation with Sequential Behavior Data
Whom do Explanations Serve? A Systematic Literature Survey of User Characteristics in Explainable Recommender Systems Evaluation
Towards a Causal Decision-Making Framework for Recommender Systems
Introduction to the Special Issue on Deep Reinforcement Learning for Recommender Systems
Learning Personalizable Clustered Embedding for Recommender Systems
Unbiased, Effective, and Efficient Distillation from Heterogeneous Models for Recommender Systems
Data Scarcity in Recommendation Systems: A Survey
Mitigating Exposure Bias in Recommender Systems - A Comparative Analysis of Discrete Choice Models
Mining User-Item Interactions via Knowledge Graph for Recommendation
Denoising and Augmented Negative Sampling for Collaborative Filtering
Efficient Federated Recommender System with Adaptive Model Pruning and Momentum-based Batch Adjustment
Recall, Robustness, and Lexicographic Evaluation
Targeted Training for Multi-organization Recommendation
Cold-Start Recommendation based on Knowledge Graph and Meta-Learning under Positive and Negative sampling
Incentive-Aware Recommender Systems in Two-Sided Markets
Where Are the Values? A Systematic Literature Review on News Recommender Systems
Recommendation Unlearning via Influence Function
Introduction to the Special Issue on Trustworthy Recommender Systems
Evaluation Measures of Individual Item Fairness for Recommender Systems: A Critical Study
RSS: Effective and Efficient Training for Sequential Recommendation Using Recency Sampling
Heterogeneous Adaptive Preference Learning for Recommendation
SARDINE: Simulator for Automated Recommendation in Dynamic and Interactive Environments
Balancing Embedding Spectrum for Recommendation
Exploring the Landscape of Recommender Systems Evaluation: Practices and Perspectives
Unbiased Identification of Broadly Appealing Content Using a Pure Exploration Infinitely Armed Bandit Strategy
A Framework and Toolkit for Testing the Correctness of Recommendation Algorithms
A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions
Introduction to the Special Issue on Causal Inference for Recommender Systems
Fairness of Interaction in Ranking under Position, Selection, and Trust Bias
Reproducing Popularity Bias in Recommendation: The Effect of Evaluation Strategies
Who Will Purchase This Item Next? Reverse Next Period Recommendation in Grocery Shopping
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering
Group Validation in Recommender Systems: Framework for Multi-layer Performance Evaluation
GIIE: A Graph-based News Recommendation Model with Intrinsic Interest Enhancement
Assessing the Impact of Music Recommendation Diversity on Listeners: A Longitudinal Study
Deconfounded Causal Collaborative Filtering
A Deep Learning Model for Cross-Domain Serendipity Recommendations
Estimating and Evaluating the Uncertainty of Rating Predictions and Top-n Recommendations in Recommender Systems
Discovering Personalized Semantics for Soft Attributes in Recommender Systems Using Concept Activation Vectors
Unbiased Interest Modeling in Sequential Basket Analysis: Addressing Repetition Bias with Multi-Factor Estimation
Auditing YouTube's Recommendation Algorithm for Misinformation Filter Bubbles
On Item-Sampling Evaluation for Recommender System
Efficient Exploration and Exploitation for Sequential Music Recommendation
User Cold-start Problem in Multi-armed Bandits: When the First Recommendations Guide the User's Experience
Pessimistic Decision-Making for Recommender Systems
Tensor Completion with Provable Consistency and Fairness Guarantees for Recommender Systems
Automated Sparse and Low-Rank Shallow Autoencoders for Recommendation
Self-supervised Graph Neural Sequential Recommendation with Disentangling Long and Short-Term Interest
A DQN-based Traffic Classification Method for Mobile Application Recommendation with Continual Learning
Evaluating Impact of User-Cluster Targeted Attacks in Matrix Factorisation Recommenders
Debiased Representation Learning in Recommendation via Information Bottleneck
Modeling and simulation for intelligent mobility
Calculation of cross-correlation function accelerated by TensorFloat-32 Tensor Core operations on NVIDIA's Ampere and Hopper GPUs
NURBS functional network approach for automatic image segmentation of macroscopic medical images in melanoma detection
Electronic transport through molecules containing pyrimidine units: First-principles calculations
Algorithm for segmentation of multimodally distributed time series in accordance with their modes
Optimal control applied to a dengue model incorporating symptomatic, asymptomatic, and severe cases with limited healthcare resources
Simulating parallel scalable probabilistic neural networks via exemplar selection and EM in a ring pipeline
Finding top-r weighted k-wing communities in bipartite graphs
Searching for d-MPs with fast enumeration
A multi-objective memetic inverse solver reinforced by local optimization methods
A new population seeding technique for permutation-coded Genetic Algorithm: Service transfer approach
Information transfer in finite flocks with topological interactions
Application of VRP Techniques to the Allocation of Resources in an Electric Power Distribution System
Numerical solutions to shock reflection and shock interaction problems for the self-similar transonic two-dimensional nonlinear wave systems
Benchmarking the performance of plane-wave vs. localized orbital basis set methods in DFT modeling of metal surface: a case study for Fe-(110)
Switchable structured bond: A bond graph device for modeling power coupling/decoupling of physical systems
Accurate and interpretable PM2.5 prediction based on GC-AE-RegLSTM
A novel density based community detection algorithm and its application in detecting potential biomarkers of ESCC
Traffic matrix estimation with software-defined NFV: Challenges and opportunities
Locating multiple sources in social networks under the SIR model: A divide-and-conquer approach
Comparative evaluation of sparse and minimal data point cloud registration: A study on Tibiofemoral Bones
QMBlender: Particle-based visualization of 3D quantum wave function dynamics
Enhancing urban solar photovoltaic system performance evaluation through a disc spherical fuzzy aggregation framework
Multilayer biological network alignment based on similarity computation via Graph Neural Networks
IMF mode demixing in EMD for jitter analysis
Large-scale simulation of mantle convection based on a new matrix-free approach
Large Deviations Anomaly Detection (LAD) for collection of multivariate time series data: Applications to COVID-19 data
A computational approach to developing two-derivative ODE-solving formulations: γβI-(2+3)P method
Design and implementation of low-power motion estimation based on modified full-search block motion estimation
Dynamic mesh refinement for discrete models of jet electro-hydrodynamics
Bayesian approaches for revealing complex neural network dynamics in Parkinson's disease
Structure based designing and ADME-T studies of butenolide derivatives as potential agents against receptor ICAM-1: A drug target for cerebral malaria
Linked Markovian quantum tunnels: An approximation technique for solving the bin packing problem
GA-ETI: An enhanced genetic algorithm for the scheduling of scientific workflows in cloud environments
Entropy features for focal EEG and non focal EEG
SAIRF: A similarity approach for attack intention recognition using fuzzy min-max neural network
Composing local and global behaviors: Higher performance of spin glass based portfolio selection
A cellular based model of the colon crypt suggests novel effects for Apc phenotype in colorectal carcinogenesis
The inherent overlapping in the parallel calculation of the Laplacian
A numerical investigation of convection-dominated convection diffusion problems using characteristic stabilized mixed finite element method
Nonstandard finite difference schemes for a general predator-prey system
Enhancement of membrane computing model implementation on GPU by introducing matrix representation for balancing occupancy and reducing inter-block communications
Iterated Robust kernel Fuzzy Principal Component Analysis and application to fault detection
Optimizing deep neuro-fuzzy classifier with a novel evolutionary arithmetic optimization algorithm
Striving for performance of discrete optimisation via memetic agent-based systems in a hybrid CPU/GPU environment
Irradiance, thermal and electrical coupled modeling of photovoltaic panels with long-term simulation periods under service in harsh desert conditions
Intelligent optimization of Reference Evapotranspiration (ETo) for precision irrigation
Four-factor model of Quanto CDS with jumps-at-default and stochastic recovery
FC-RRT*: A modified RRT* with rapid convergence in complex environments
A hybrid optimizer based on firefly algorithm and particle swarm optimization algorithm
Two phase simulations of glacier lake outburst flows
An integrated toolchain for model based functional safety analysis
Wavelet collocation method based on Legendre polynomials and its application in solving the stochastic fractional integro-differential equations
Modelling and simulation of reactive transport phenomena
Sonar image registration for swarm AUVs navigation: Results from SWARMs project
MGDRGCN: A novel framework for predicting metabolite-disease connections using tripartite network and relational graph convolutional network
ivga: A fast force-directed method for interactive visualization of complex networks
Exploring the high selectivity of 3-D protein structures using distributed memetic algorithms
A new meta-heuristic butterfly-inspired algorithm
A fast singular value decomposition algorithm of general k -tridiagonal matrices
An exploration of the shift work consideration in production scheduling
Parallel evolutionary computation for multiobjective gene interaction analysis
Oscillatory wave patterns and spiral breakup in the Brusselator model using numerical bifurcation analysis
Perspectives of Modeling & Applied Simulation: "Modeling, Algorithms and Simulations: advances and novel researches for problem-solving and decision-making in complex, multi-scale and multi-domain systems"
Machine learning based algorithms for uncertainty quantification in numerical weather prediction models
perms: Likelihood-free estimation of marginal likelihoods for binary response data in Python and R
Classification and feature selection methods based on fitting logistic regression to PU data
Variance-reduced multiscale simulation of slow-fast stochastic differential equations
Cellular Automata Applications for Research and Industry
Numerical optimisation of the pseudopotential-based lattice Boltzmann method
eNelator: A simulation system for large-scale vulnerability analysis of species-, disease- and process-specific protein networks
A lightweight method for evaluating in situ workflow efficiency
Investigation of surface stress effect in 3D complex nano parts using FEM and modified boundary Cauchy-Born method
2D scale-3 fractional Euler wavelets optimization algorithm for fractional-order differential equations
Explaining the impact of parameter combinations in agent-based models
NESSie.jl - Efficient and intuitive finite element and boundary element methods for nonlocal protein electrostatics in the Julia language
Dynamic analysis of pest control model with population dispersal in two patches and impulsive effect
Enhancing differential evolution with random neighbors based strategy
Utilizing the IP Multimedia Subsystem to create an extensible service-oriented architecture
Immune system programming for medical image segmentation
A first multi-GPU/multi-node implementation of the open computing abstraction layer
A novel particle decomposition scheme to improve parallel performance of fully resolved particulate flow simulations
Solution of stress and deformation field and inversion of material parameter for gravity dams based on physics-informed neural networks
Helastic: On combining threshold-based and Serverless elasticity approaches for optimizing the execution of bioinformatics applications
Wind action on natural smoke exhaust in atria
A dynamic wind farm aggregate model for the simulation of power fluctuations due to wind turbulence
Optimized event generator for strong-field QED simulations within the hi-χ framework
Pokémon GO in Melbourne CBD: A case study of the cyber-physical symbiotic social networks
Extending FEniCS to work in higher dimensions using tensor product finite elements
In search of novel anti-inflammatory agents: Computational repositioning of approved drugs
An evolutionary algorithm approach to link prediction in dynamic social networks
A fast method based on variable time steps for 2D nonlinear time-fractional generalized Benjamin-Bona-Mahony-Burgers equation: Error and stability analysis
Real-time mobile sensor management framework for city-scale environmental monitoring
Accelerating fuzzy cellular automata for modeling crowd dynamics
Modeling ischemia with finite elements and automated machine learning
Hierarchic Genetic Strategy with maturing as a generic tool for Multiobjective Optimization
Scalable high-dimensional dynamic stochastic economic modeling
Towards accommodating deadline driven jobs on high performance computing platforms in grid computing environment
In situ feature analysis for large-scale multiphase flow simulations
Investigating the interaction between EEG and fNIRS: A multimodal network analysis of brain connectivity
On semi-supervised multiple representation behavior learning
Computational design of synchronous sequential structures in biological systems
Efficient computational testing of scale-free behavior in real-world systems
Numerical study of the development and angular speed of a small-scale fire whirl
Massively parallel Bayesian estimation with Sequential Monte Carlo sampling for simultaneous estimation of earthquake fault geometry and slip distribution
Machine-assisted agent-based modeling: Opening the black box
Mesh-based multi-frontal solver with reuse of partial LU factorizations for antenna array
Sensitivity analysis of high-dimensional models with correlated inputs
K and starting means for k-means algorithm
FV-MgNet: Fully connected V-cycle MgNet for interpretable time series forecasting
Identifying key nodes in interdependent networks based on Supra-Laplacian energy
Quasi-linear time heuristic to solve the Euclidean traveling salesman problem with low gap
Thread-safe lattice Boltzmann for high-performance computing on GPUs
Yuva: An e-health model for dealing with psychological issues of adolescents
Characterization of harmonic response of human middle ear using finite element approach
A scenario-based desirability function for correlated multi-response optimization problems considering modeling and implementation errors