yusuke1997/dblp-id-title huggingface dataset:
KOIOS: Top-k Semantic Overlap Set Search
Religious Affiliation in the Twenty-First Century: A Machine Learning Perspective on the World Value Survey
The First Shared Task on Discourse Representation Structure Parsing
Computing geometric Lorenz attractors with arbitrary precision
Estimation of Infants' Cry Fundamental Frequency using a Modified SIFT algorithm
SRKCD: a stabilized Runge-Kutta method for stochastic optimization
CineMA: A Foundation Model for Cine Cardiac MRI
Communication Efficient Adaptive Model-Driven Quantum Federated Learning
Tracing Privacy Leakage of Language Models to Training Data via Adjusted Influence Functions
Toward a Holistic Approach to Continual Model Merging
Dynamic Generation of Interpretable Inference Rules in a Neuro-Symbolic Expert System
Cardiac Segmentation with Strong Anatomical Guarantees
D-CoDe: Scaling Image-Pretrained VLMs to Video via Dynamic Compression and Question Decomposition
Angular-Based Word Meta-Embedding Learning
UMG-CLIP: A Unified Multi-Granularity Vision Generalist for Open-World Understanding
Deep Reinforcement Learning for Online Advertising in Recommender Systems
Continuous On-line Evolution of Agent Behaviours with Cartesian Genetic Programming
REMAA: Reconfigurable Pixel Antenna-based Electronic Movable-Antenna Arrays for Multiuser Communications
Belief decision support and reject for textured images characterization
Measuring Network Resilience via Geospatial Knowledge Graph: a Case Study of the US Multi-Commodity Flow Network
Scenario-based Requirements Engineering for Complex Smart City Projects
Stabilized training of joint energy-based models and their practical applications
On the minmax regret for statistical manifolds: the role of curvature
DiffNMR2: NMR Guided Sampling Acquisition Through Diffusion Model Uncertainty
Empirical Research on Utilizing LLM-based Agents for Automated Bug Fixing via LangGraph
Semi-Persistent Scheduling in NR Sidelink Mode 2: MAC Packet Reception Ratio Model and Validation
Uncertainty in Fairness Assessment: Maintaining Stable Conclusions Despite Fluctuations
Secondary frequency control stabilizing voltage dynamics
Amplitude, Phase, and Quadrant (APQ) Modulation for Indoor Visible Light Communications
PopSim: Social Network Simulation for Social Media Popularity Prediction
Block Krylov subspace methods for shifted systems with different right-hand sides
Using Machine Learning to Augment Dynamic Time Warping Based Signal Classification
A Low-Memory Time-Efficient Implementation of Outermorphisms for Higher-Dimensional Geometric Algebras
Semi-Supervised Unconstrained Head Pose Estimation in the Wild
On Modular Edge Colourings of Graphs
Crop and Couple: cardiac image segmentation using interlinked specialist networks
Distributed Dynamic Platoons Control and Junction Crossing Optimization for Mixed Traffic Flow in Smart Cities- Part II. Stability, Optimization, and Performance Analysis
Distributed Coverage Hole Prevention for Visual Environmental Monitoring with Quadcopters via Nonsmooth Control Barrier Functions
Federated Learning: A Cutting-Edge Survey of the Latest Advancements and Applications
Maxwell's demon and information channel width of a black hole
Communication-Efficient Hybrid Federated Learning for E-health with Horizontal and Vertical Data Partitioning
Non-Abelian Gauge-Invariant Cellular Automata
3D Reconstruction Using a Linear Laser Scanner and a Camera
LtFi: Cross-technology Communication for RRM between LTE-U and IEEE 802.11
A Multi-Perspective Learning to Rank Approach to Support Children's Information Seeking in the Classroom
Semi-implicit energy-preserving numerical schemes for stochastic wave equation via SAV approach
An image-driven machine learning approach to kinetic modeling of a discontinuous precipitation reaction
Addressing Graph Anomaly Detection via Causal Edge Separation and Spectrum
Metro Access Network with Convergence of Coherent and Analog RoF Data Services
Robust tracking MPC for perturbed nonlinear systems - Extended version
Robust State and fault Estimation of Linear Discrete Time Systems with Unknown Disturbances
ObamaNet: Photo-realistic lip-sync from text
Decentralized Control Systems Laboratory Using Human-Centered Robotic Actuators
Robust copy-move forgery detection by false alarms control
Human-Alignment Influences the Utility of AI-assisted Decision Making
Order theory for discrete gradient methods
Ontology Development Kit: a toolkit for building, maintaining, and standardising biomedical ontologies
On-Device Speaker Anonymization of Acoustic Embeddings for ASR based onFlexible Location Gradient Reversal Layer
Non-Intrusive Load Monitoring: A Review and Outlook
Arbitrary-Order Distributed Finite-Time Differentiator for Multi-Agent Systems
Some Models and Tools for Open Systems
Maybe you are looking for CroQS: Cross-modal Query Suggestion for Text-to-Image Retrieval
Waveguide Holography: Towards True 3D Holographic Glasses
Constraints-of-Thought: A Framework for Constrained Reasoning in Language-Model-Guided Search
Face Anonymization by Manipulating Decoupled Identity Representation
Near-Asymptotically-Good Quantum Codes with Transversal CCZ Gates and Sublinear-Weight Parity-Checks
Democracy for DAOs: An Empirical Study of Decentralized Governance and Dynamic (Case Study Internet Computer SNS Ecosystem)
Podcast Summary Assessment: A Resource for Evaluating Summary Assessment Methods
BYOKG-RAG: Multi-Strategy Graph Retrieval for Knowledge Graph Question Answering
Comparison of Semantic Segmentation Approaches for Horizon/Sky Line Detection
The More, the Better? A Study on Collaborative Machine Learning for DGA Detection
Precision of the ENDGame: Mixed-precision arithmetic in the iterative solver of the Unified Model
Homogeneous and Mixed Energy Communities Discovery with Spatial-Temporal Net Energy
Can Time-Series Foundation Models Perform Building Energy Management Tasks?
Planning with Learned Binarized Neural Networks Benchmarks for MaxSAT Evaluation 2021
Patterns versus Characters in Subword-aware Neural Language Modeling
MLRSNet: A Multi-label High Spatial Resolution Remote Sensing Dataset for Semantic Scene Understanding
Lattice Surgery Aware Resource Analysis for the Mapping and Scheduling of Quantum Circuits for Scalable Modular Architectures
Contracting and Involutive Negations of Probability Distributions
Joint Transmission with Dummy Symbols for Dynamic TDD in Ultra-Dense Deployments
A structure preserving shift-invert infinite Arnoldi algorithm for a class of delay eigenvalue problems with Hamiltonian symmetry
Preterm infants' pose estimation with spatio-temporal features
BlenderProc
Discovering Boolean Gates in Slime Mould
Approaching English-Polish Machine Translation Quality Assessment with Neural-based Methods
State and Parameter Estimation Based on Filtered Transformation for a Class of Second-Order Systems
Improving LSTM Neural Networks for Better Short-Term Wind Power Predictions
Approximate Dynamic Programming with Neural Networks in Linear Discrete Action Spaces
Representative Scenarios to Capture Renewable Generation Stochasticity and Cross-Correlations
Counting Solutions of Constraint Satisfiability Problems:Exact Phase Transitions and Approximate Algorithm
Extensive Self-Contrast Enables Feedback-Free Language Model Alignment
Steel Surface Roughness Parameter Calculations Using Lasers and Machine Learning Models
Making the best of data derived from a daily practice in clinical legal medicine for research and practice - the example of Spe3dLab
Few-shot Adaptation of Multi-modal Foundation Models: A Survey
General Causal Imputation via Synthetic Interventions
Training-Free Synthesized Face Sketch Recognition Using Image Quality Assessment Metrics
Emotionally Numb or Empathetic? Evaluating How LLMs Feel Using EmotionBench
Residual Based Error Estimator for Chemical-Mechanically Coupled Battery Active Particles
Beam Management in Low Earth Orbit Satellite Networks with Random Traffic Arrival and Time-varying Topology
Universality of Approximate Message Passing algorithms and tensor networks
"Thy algorithm shalt not bear false witness": An Evaluation of Multiclass Debiasing Methods on Word Embeddings
From CNNs to Shift-Invariant Twin Wavelet Models
Learning Item Trees for Probabilistic Modelling of Implicit Feedback
Stylometric Analysis of Early Modern Period English Plays
Test-Time Alignment of Discrete Diffusion Models with Sequential Monte Carlo
Incubators vs Zombies: Fault-Tolerant, Short, Thin and Lanky Spanners for Doubling Metrics
Safe and Efficient Switching Controller Design for Partially Observed Linear-Gaussian Systems
Game of Privacy: Towards Better Federated Platform Collaboration under Privacy Restriction
Quantitative Evaluation of Gender Bias in Astronomical Publications from Citation Counts
Packing directed circuits quarter-integrally
Graph Convolutional Modules for Traffic Forecasting
Variational Quantum Circuit Model for Knowledge Graphs Embedding
Numerical analysis of a Neumann boundary control problem with a stochastic parabolic equation
Exact and approximation algorithms for the expanding search problem
Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey
Robust Continual Learning through a Comprehensively Progressive Bayesian Neural Network
Distributed Computation Offloading of an application from mobile/IoT device to cloud
Islands for SAT
Assessing ML Classification Algorithms and NLP Techniques for Depression Detection: An Experimental Case Study
Spoken Humanoid Embodied Conversational Agents in Mobile Serious Games: A Usability Assessment
Analysis Of Interest Points Of Curvelet Coefficients Contributions Of Microscopic Images And Improvement Of Edges
A Survey of Offline and Online Learning-Based Algorithms for Multirotor UAVs
Stable Preference Optimization for LLMs: A Bilevel Approach Beyond Direct Preference Optimization
Quantifying the alignment of graph and features in deep learning
Sublinear Edge Fault Tolerant Spanners for Hypergraphs
Improving Privacy and Security in Unmanned Aerial Vehicles Network using Blockchain
Collaborative Storytelling and LLM: A Linguistic Analysis of Automatically-Generated Role-Playing Game Sessions
Machine Learning and Social Robotics for Detecting Early Signs of Dementia
UMONS Submission for WMT18 Multimodal Translation Task
Towards risk-informed PBSHM: Populations as hierarchical systems
Micro Energy-Water-Hydrogen Nexus: Data-driven Real-time Optimal Operation
Four presumed gaps in the software engineering research community's knowledge
Verification Of Partial Quantifier Elimination
Precise and Robust Sidewalk Detection: Leveraging Ensemble Learning to Surpass LLM Limitations in Urban Environments
Iterative Cluster Harvesting for Wafer Map Defect Patterns
Arcadia: Toward a Full-Lifecycle Framework for Embodied Lifelong Learning
Energy-Efficient Federated Edge Learning with Streaming Data: A Lyapunov Optimization Approach
FEMOSAA: Feature Guided and Knee Driven Multi-Objective Optimization for Self-Adaptive Software at Runtime
An R package for parametric estimation of causal effects
CogMCTS: A Novel Cognitive-Guided Monte Carlo Tree Search Framework for Iterative Heuristic Evolution with Large Language Models
LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning Attacks
COHORTNEY: Deep Clustering for Heterogeneous Event Sequences
WildSpoof Challenge Evaluation Plan
On Meta-Prompting
Learning to Evolve: Bayesian-Guided Continual Knowledge Graph Embedding
Parallel and Multi-Objective Falsification with Scenic and VerifAI
Oriented Straight Line Segment Algebra: Qualitative Spatial Reasoning about Oriented Objects
Criticality measure-based error estimates for infinite dimensional optimization
X-TRACK: Physics-Aware xLSTM for Realistic Vehicle Trajectory Prediction
Data-driven geometric scale detection via Delaunay interpolation
Teaching Structured Vision&Language Concepts to Vision&Language Models
Automated Hyperparameter Selection for the PC Algorithm
Classification of User Reports for Detection of Faulty Computer Components using NLP Models: A Case Study
On Accelerating Large-Scale Robust Portfolio Optimization
Spectral Neural Graph Sparsification
O-MMGP: Optimal Mesh Morphing Gaussian Process Regression for Solving PDEs with non-Parametric Geometric Variations
The Gauss-Markov Adjunction: Categorical Semantics of Residuals in Supervised Learning
Experiencing Utopia. A Positive Approach to Design Fiction
A Cybersecurity Risk Analysis Framework for Systems with Artificial Intelligence Components
Predicting Chaotic Systems with Quantum Echo-state Networks
CT-CPP: 3D Coverage Path Planning for Unknown Terrain Reconstruction using Coverage Trees
Detecting Adversarial Examples via Neural Fingerprinting
Emotion Classification from Multi-Channel EEG Signals Using HiSTN: A Hierarchical Graph-based Spatial-Temporal Approach
Learning Optimal Control Policies for Stochastic Systems with a Relaxed Bellman Operator
Policy Dispersion in Non-Markovian Environment
NDPNet: A novel non-linear data projection network for few-shot fine-grained image classification
An Efficient Procedure for Mining Egocentric Temporal Motifs
Advancing Malicious Website Identification: A Machine Learning Approach Using Granular Feature Analysis
SALT. A unified framework for all shortest-path query variants on road networks
Measuring Recommender System Effects with Simulated Users
A benchmark study on methods to ensure fair algorithmic decisions for credit scoring
Fault Analysis Using Gegenbauer Multiresolution Analysis
Information geometry of bosonic Gaussian thermal states
KaPQA: Knowledge-Augmented Product Question-Answering
CUR Decompositions, Approximations, and Perturbations
Closed-form Expressions for Maximum Mean Discrepancy with Applications to Wasserstein Auto-Encoders
Weak Modular Product of Bipartite Graphs, Bicliques and Isomorphism
Cinematic Visualization of Multiresolution Data: Ytini for Adaptive Mesh Refinement in Houdini
JM3D & JM3D-LLM: Elevating 3D Representation with Joint Multi-modal Cues
Saving for the future: Enhancing generalization via partial logic regularization
A Location-Based Privacy Preserving Framework for M-Learning Adoption to Enhance Distance Education in Kenya: Literature Review
Link Quality-Guaranteed Minimum-Cost Millimeter-Wave Base Station Deployment
FreeTacMan: Robot-free Visuo-Tactile Data Collection System for Contact-rich Manipulation
ADINE: An Adaptive Momentum Method for Stochastic Gradient Descent
Fractional Heat Kernel for Semi-Supervised Graph Learning with Small Training Sample Size
Graph colorings under global structural conditions
GLYPH-SR: Can We Achieve Both High-Quality Image Super-Resolution and High-Fidelity Text Recovery via VLM-guided Latent Diffusion Model?
Verification of GossipSub in ACL2s
Image Restoration from Patch-based Compressed Sensing Measurement
Neuroscience-Inspired Memory Replay for Continual Learning: A Comparative Study of Predictive Coding and Backpropagation-Based Strategies
Effect of Fast Moving Object on RSSI in WSN: An Experimental Approach
Exploring Evolved Multicellular Life Histories in a Open-Ended Digital Evolution System
Cost-effective Interactive Attention Learning with Neural Attention Processes
BarcodeMamba+: Advancing State-Space Models for Fungal Biodiversity Research
6RLR-ABC: 6LoWPAN Routing Protocol With Local Repair Using Bio Inspired Artificial Bee Colony
Leveraging Deep Learning Techniques on Collaborative Filtering Recommender Systems
Pose Invariant 3D Face Reconstruction
Optimal Bounds in Parametric LTL Games
Progressive Text-to-3D Generation for Automatic 3D Prototyping
Analyse der Entwicklungstreiber militärischer Schwarmdrohnen durch Natural Language Processing
AsyncSpade: Efficient Test-Time Scaling with Asynchronous Sparse Decoding
Characterizing Graphs of Zonohedra
Towards End-to-end Video-based Eye-Tracking
Exploiting network topology for large-scale inference of nonlinear reaction models
ShadowMamba: State-Space Model with Boundary-Region Selective Scan for Shadow Removal
An agent-based model of interdisciplinary interactions in science
Dynamically Weighted Momentum with Adaptive Step Sizes for Efficient Deep Network Training
Improving Long-Range Navigation with Spatially-Enhanced Recurrent Memory via End-to-End Reinforcement Learning
Sample-efficient Model-based Reinforcement Learning for Quantum Control
Force sensing to reconstruct potential energy landscapes for cluttered large obstacle traversal
Efficient Numerical Strategies for Entropy-Regularized Semi-Discrete Optimal Transport
Confidant: Customizing Transformer-based LLMs via Collaborative Edge Training
Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT: From Simulated to Real Data
REACT: Runtime-Enabled Active Collision-avoidance Technique for Autonomous Driving
A systematic literature review on Robotic Process Automation security
Semantic Augmentation in Images using Language
Self-stabilizing Algorithm for Maximal Distance-2 Independent Set
Causality on Cross-Sectional Data: Stable Specification Search in Constrained Structural Equation Modeling
Characterization of Word-Representable Graphs using Modular Decomposition
Deciding regular games: a playground for exponential time algorithms
The RAppArmor Package: Enforcing Security Policies in R Using Dynamic Sandboxing on Linux
Closing the Train-Test Gap in World Models for Gradient-Based Planning
Using reinforcement learning to improve drone-based inference of greenhouse gas fluxes
Parole de présidents (1958-2022)
Knowledge Graph Completion using Structural and Textual Embeddings
Understanding the Use of Voice Assistants by Older Adults
Exploiting Features and Logits in Heterogeneous Federated Learning
Bridging the Gap: Fine-to-Coarse Sketch Interpolation Network for High-Quality Animation Sketch Inbetweening
Leveraging Conditional Mutual Information to Improve Large Language Model Fine-Tuning For Classification
Evaluating uncertainties in electrochemical impedance spectra of solid oxide fuel cells
Evaluating Cultural Knowledge Processing in Large Language Models: A Cognitive Benchmarking Framework Integrating Retrieval-Augmented Generation
Moving to VideoKifu: the last steps toward a fully automatic record-keeping of a Go game
Sensing, Detection and Localization for Low Altitude UAV: A RF-Based Framework via Multiple BSs Collaboration
A Novel Scene Text Detection Algorithm Based On Convolutional Neural Network
Electrode SOC and SOH estimation with electrode-level ECMs
Performance Analysis of Various EfficientNet Based U-Net++ Architecture for Automatic Building Extraction from High Resolution Satellite Images
MorphBPE: A Morpho-Aware Tokenizer Bridging Linguistic Complexity for Efficient LLM Training Across Morphologies
Measuring Bias in Contextualized Word Representations
The end of Sleeping Beauty's nightmare
Unknown Object Segmentation through Domain Adaptation
Does Synthetic Data Make Large Language Models More Efficient?
Why human-AI relationships need socioaffective alignment
Contraction analysis of time-varying DAE systems via auxiliary ODE systems
Stealth and Evasion in Rogue AP Attacks: An Analysis of Modern Detection and Bypass Techniques
Semantic Oriented Intelligent Electronic Learning
CBNet: A Plug-and-Play Network for Segmentation-based Scene Text Detection
Multi-patch Feature Pyramid Network for Weakly Supervised Object Detection in Optical Remote Sensing Images
The smallest grammar problem revisited
Leveraging Generative AI Through Prompt Engineering and Rigorous Validation to Create Comprehensive Synthetic Datasets for AI Training in Healthcare
A domain splitting strategy for solving PDEs
Generalized Vietoris Bisimulations
Application of Attention Mechanism with Bidirectional Long Short-Term Memory (BiLSTM) and CNN for Human Conflict Detection using Computer Vision
An Optimized and Energy-Efficient Parallel Implementation of Non-Iteratively Trained Recurrent Neural Networks
Convergence of Finite Memory Q-Learning for POMDPs and Near Optimality of Learned Policies under Filter Stability
Optimizing Task Scheduling in Heterogeneous Computing Environments: A Comparative Analysis of CPU, GPU, and ASIC Platforms Using E2C Simulator
Optimizing Multi-Tier Supply Chain Ordering with LNN+XGBoost: Mitigating the Bullwhip Effect
Learning from Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation
Towards a Neural Era in Dialogue Management for Collaboration: A Literature Survey
Causal Unsupervised Semantic Segmentation
Adversarial Machine Learning In Network Intrusion Detection Domain: A Systematic Review
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
Evolutionary computation for multicomponent problems: opportunities and future directions
MLMA-Net: multi-level multi-attentional learning for multi-label object detection in textile defect images
On the Complexity of the Skolem Problem at Low Orders
A note on the van der Waerden conjecture on random polynomials with symmetric Galois group for function fields
An exploration of the encoding of grammatical gender in word embeddings
Prompt-to-Product: Generative Assembly via Bimanual Manipulation
GoPRONTO: a Feedback-based Framework for Nonlinear Optimal Control
Asset Bundling for Wind Power Forecasting
Exploring the Dynamics of Data Transmission in 5G Networks: A Conceptual Analysis
Generalization Bounds for Rank-sparse Neural Networks
Decentralized Motion Planning with Collision Avoidance for a Team of UAVs under High Level Goals
Using LLMs to discover emerging coded antisemitic hate-speech in extremist social media
Small Errors Imply Large Instabilities
Artificial Intelligence for the Metaverse: A Survey
Can Past Experience Accelerate LLM Reasoning?
FewJoint: A Few-shot Learning Benchmark for Joint Language Understanding
How Far Have Medical Vision-Language Models Come? A Comprehensive Benchmarking Study
VDB-EDT: An Efficient Euclidean Distance Transform Algorithm Based on VDB Data Structure
An Efficient Inter Carrier Interference Cancellation Schemes for OFDM Systems
Iterated Support Vector Machines for Distance Metric Learning
Computational Complexity of Cyclotomic Fast Fourier Transforms over Characteristic-2 Fields
Proving Almost-Sure Termination of Probabilistic Programs via Incremental Pruning
Noise Analysis of Photonic Modulator Neurons
Simple Optimizers for Convex Aligned Multi-Objective Optimization
A Neuro-Symbolic Framework for Accountability in Public-Sector AI
CalibrateMix: Guided-Mixup Calibration of Image Semi-Supervised Models
On the equivalence of the Hermitian eigenvalue problem and hypergraph edge elimination
Facial Affect Analysis: Learning from Synthetic Data & Multi-Task Learning Challenges
Smoothing analysis of two-color distributive relaxation for solving 2D Stokes flow by multigrid method
VIBE: Vector Index Benchmark for Embeddings
Hyperspectral Image Analysis in Single-Modal and Multimodal setting using Deep Learning Techniques
Exploring Network-Wide Flow Data with Flowyager
Spencer: Interactive Heap Analysis for the Masses
Probing the topological properties of complex networks modeling short written texts
Optimizing Vision-Language Interactions Through Decoder-Only Models
Region segmentation via deep learning and convex optimization
Approximating the Ideal Observer and Hotelling Observer for binary signal detection tasks by use of supervised learning methods
Feature Studies to Inform the Classification of Depressive Symptoms from Twitter Data for Population Health
Deepfake Style Transfer Mixture: a First Forensic Ballistics Study on Synthetic Images
Galvanalyser: A Battery Test Database
Progress and Opportunities of Foundation Models in Bioinformatics
Meta Mirror Descent: Optimiser Learning for Fast Convergence
TinyFormer: Efficient Transformer Design and Deployment on Tiny Devices
A model for system developers to measure the privacy risk of data
Improving Longer-range Dialogue State Tracking
How to Read Paintings: Semantic Art Understanding with Multi-Modal Retrieval
Representing Bayesian Networks within Probabilistic Horn Abduction
A new interface capturing method for Allen-Cahn type equations based on a flow dynamic approach in Lagrangian coordinates, I. One-dimensional case
Efficient Minimax Optimal Global Optimization of Lipschitz Continuous Multivariate Functions