yusuke1997/dblp-id-title huggingface dataset:
Who Should I Listen To? Adaptive Collaboration in Personalized Federated Learning
One-shot Learning with Absolute Generalization
Unlocking the Potential of Digital Pathology: Novel Baselines for Compression
A Multi-faceted Analysis of Cognitive Abilities: Evaluating Prompt Methods with Large Language Models on the CONSORT Checklist
Leveraging Unlabeled Data for Entity-Relation Extraction through Probabilistic Constraint Satisfaction
Bayesian Receiver Operating Characteristic Metric for Linear Classifiers
TWIZ: The Wizard of Multimodal Conversational-Stimulus
Gait-Adaptive Navigation and Human Searching in field with Cyborg Insect
Class-Conditional VAE-GAN for Local-Ancestry Simulation
Nonvolatile Spintronic Memory Cells for Neural Networks
Fast and Scalable Score-Based Kernel Calibration Tests
Deep Contrastive Multi-view Clustering under Semantic Feature Guidance
When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair
Scheduling Algorithms for Procrastinators
Investigation into the Spread of Misinformation about UK Prime Ministers on Twitter
The Role of Functional Muscle Networks in Improving Hand Gesture Perception for Human-Machine Interfaces
A Study of Fake News Reading and Annotating in Social Media Context
ConBaT: Control Barrier Transformer for Safe Policy Learning
Graph Neural Network Interatomic Potential Ensembles with Calibrated Aleatoric and Epistemic Uncertainty on Energy and Forces
Accelerating Vision Diffusion Transformers with Skip Branches
Optimal Approximation Rates for Deep ReLU Neural Networks on Sobolev Spaces
Non-asymptotic Convergence Analysis of Two Time-scale (Natural) Actor-Critic Algorithms
GRASP: A Grid-Based Benchmark for Evaluating Commonsense Spatial Reasoning
Between Post-Flaneur and Smartphone Zombie Smartphone Users Altering Visual Attention and Walking Behavior in Public Space
Structured Basis Function Networks: Loss-Centric Multi-Hypothesis Ensembles with Controllable Diversity
Learning Symbolic Representations Through Joint GEnerative and DIscriminative Training
Cycle-of-Learning for Autonomous Systems from Human Interaction
Convolutional Matching Pursuit and Dictionary Training
Diffusion Model Meets Non-Exemplar Class-Incremental Learning and Beyond
Auxiliary Manifold Embedding for Fully Convolutional Networks
On Information Geometry and Iterative Optimization in Model Compression: Operator Factorization
Towards Cytoskeleton Computers. A proposal
Greedy Column Subset Selection for Large-scale Data Sets
LINR Bridge: Vector Graphic Animation via Neural Implicits and Video Diffusion Priors
A Benchmark for End-to-End Zero-Shot Biomedical Relation Extraction with LLMs: Experiments with OpenAI Models
Probabilistic pointer analysis for multithreaded programs
Stability and interpolation properties for Stokes-like virtual element spaces
Cross-modal Learning for Multi-modal Video Categorization
Identifying curriculum disruptions in engineering education through serious gaming
Detection, Understanding, and Prevention of Traceroute Measurement Artifacts
Automated differential equation solver based on the parametric approximation optimization
Combining Social Force Model with Model Predictive Control for Vehicle's Longitudinal Speed Regulation in Pedestrian-Dense Scenarios
A Deep Variational Bayesian Framework for Blind Image Deblurring
Reinforcement Learning-Based Model Matching in COBRA, a Slithering Snake Robot
Parallel Hierarchical Transformer with Attention Alignment for Abstractive Multi-Document Summarization
How are We Detecting Inconsistent Method Names? An Empirical Study from Code Review Perspective
BBR's Sharing Behavior with CUBIC and Reno
Parallel Sampling for Efficient High-dimensional Bayesian Network Structure Learning
A Benchmark Reference for ESP32-CAM Module
Comprehensive Analysis of Access Control Models in Edge Computing: Challenges, Solutions, and Future Directions
Zero-Shot 3D Shape Sketch View Similarity and Retrieval
The Einstein Test: Towards a Practical Test of a Machine's Ability to Exhibit Superintelligence
Fully Automated Binary Pattern Extraction For Finger Vein Identification using Double Optimization Stages-Based Unsupervised Learning Approach
Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational Wave Population Study
Notes on Kullback-Leibler Divergence and Likelihood
An Adversarial Learning Based Approach for Unknown View Tomographic Reconstruction
SMART-TRACK: A Novel Kalman Filter-Guided Sensor Fusion For Robust UAV Object Tracking in Dynamic Environments
Ergonomic Assessment of Work Activities for an Industrial-oriented Wrist Exoskeleton
Fast and Robust Feature Matching for RGB-D Based Localization
Solving the Quadratic Assignment Problem using Deep Reinforcement Learning
Signature-Based Universal Bilinear Approximations for Nonlinear Systems and Model Order Reduction
Unsupervised Segmentation of Fetal Brain MRI using Deep Learning Cascaded Registration
Bibliothèques numériques et gamification : panorama et état de l'art
Vandermonde Decomposition of Multilevel Toeplitz Matrices with Application to Multidimensional Super-Resolution
Using Homomorphic hashes in coded blockchains
Evaluation of Neural Network Uncertainty Estimation with Application to Resource-Constrained Platforms
The Weak Galerkin and Crouzeix-Raviart element method for elastic eigenvalue problems
Characterizing Application Scheduling on Edge, Fog and Cloud Computing Resources
A Mechanism for Optimizing Media Recommender Systems
Sampling Agnostic Feature Representation for Long-Term Person Re-identification
BIGBOY1.2: Generating Realistic Synthetic Data for Disease Outbreak Modelling and Analytics
A data-driven microscopic on-ramp model based on macroscopic network flows
Forecasting the onset and course of mental illness with Twitter data
Optimal Sampling Designs for Multi-dimensional Streaming Time Series with Application to Power Grid Sensor Data
References in and citations to NIME papers
Mixing of Stochastic Accelerated Gradient Descent
Intra-Modal Constraint Loss For Image-Text Retrieval
Minimally sufficient structures for information-feedback policies
Quantum Hardware-in-the-Loop for Optimal Power Flow in Renewable-Integrated Power Systems
DBBRBF- Convalesce optimization for software defect prediction problem using hybrid distribution base balance instance selection and radial basis Function classifier
A Low Overhead Minimum Process Global Snapshop Collection Algorithm for Mobile Distributed System
A temporal logic of epistemic and normative justifications, with an application to the Protagoras paradox
ERUPD - English to Roman Urdu Parallel Dataset
LLM-Drone: Aerial Additive Manufacturing with Drones Planned Using Large Language Models
Functional multi-armed bandit and the best function identification problems
Symbolic coding of linear complexity for generic translations of the torus, using continued fractions
Generating Synthetic Relational Tabular Data via Structural Causal Models
Ordinal Bayesian incentive compatibility in random assignment model
Applicability of Trust Management Algorithm in C2C services
Combinatorial Pure Exploration with Partial or Full-Bandit Linear Feedback
The Spoils of Algorithmic Collusion: Profit Allocation Among Asymmetric Firms
MonoBox: Tightness-free Box-supervised Polyp Segmentation using Monotonicity Constraint
Self-Adapting Language Models
Exploring Human Factors in Spreadsheet Development
AIR-Bench 2024: A Safety Benchmark Based on Risk Categories from Regulations and Policies
Case for a unified surrogate modelling framework in the age of AI
Is dataset condensation a silver bullet for healthcare data sharing?
Real-Time Aerial Fire Detection on Resource-Constrained Devices Using Knowledge Distillation
A Study on Placement of Social Buttons in Web Pages
Open-Source Internships with Industry Mentors
RecyGlide : A Forearm-worn Multi-modal Haptic Display aimed to Improve User VR Immersion
Algorithms for Nash and Pareto Equilibria for Resource Allocation in Multiple Femtocells
Nearly Optimal Nonlinear Safe Control with BaS-SDRE
Layer Sparsity in Neural Networks
X-ray Insights Unleashed: Pioneering the Enhancement of Multi-Label Long-Tail Data
RainDiffusion: When Unsupervised Learning Meets Diffusion Models for Real-world Image Deraining
PoAh: A Novel Consensus Algorithm for Fast Scalable Private Blockchain for Large-scale IoT Frameworks
Wave-Encoded Model-based Deep Learning for Highly Accelerated Imaging with Joint Reconstruction
New insights for setting up contractual options for demand side flexibility
Retrieval-augmented systems can be dangerous medical communicators
Agentsway - Software Development Methodology for AI Agents-based Teams
Genetic Deep Learning for Lung Cancer Screening
CROSSLINE: Breaking "Security-by-Crash" based Memory Isolation in AMD SEV
Regional Image Perturbation Reduces L p Norms of Adversarial Examples While Maintaining Model-to-model Transferability
Design and Identification of Keypoint Patches in Unstructured Environments
VL-ICL Bench: The Devil in the Details of Benchmarking Multimodal In-Context Learning
A multirate variational approach to simulation and optimal control for flexible spacecraft
Deep Learning for Rheumatoid Arthritis: Joint Detection and Damage Scoring in X-rays
Neural Implicit Representation for Highly Dynamic LiDAR Mapping and Odometry
The structure of evolutionary exploration: On crossover, buildings blocks and Estimation-Of-Distribution Algorithms
Not All Comments are Equal: Insights into Comment Moderation from a Topic-Aware Model
Speaking of Trust - Speech as a Measure of Trust
An Efficient Deep Learning Framework for Brain Stroke Diagnosis Using Computed Tomography (CT) Images
Online Multi-Object Tracking with Instance-Aware Tracker and Dynamic Model Refreshment
An Alternating Direction Algorithm for Matrix Completion with Nonnegative Factors
Use Pronunciation by Analogy for text to speech system in Persian language
Maintaining App Services in Disrupted Cities: A Crisis and Resilience Evaluation Tool
The Geometry of SDP-Exactness in Quadratic Optimization
Communities as Well Separated Subgraphs With Cohesive Cores: Identification of Core-Periphery Structures in Link Communities
Privacy-enhancing Aggregation of Internet of Things Data via Sensors Grouping
Parallel Restarted SPIDER - Communication Efficient Distributed Nonconvex Optimization with Optimal Computation Complexity
Fuzzy Topological Systems
Class-wise Thresholding for Detecting Out-of-Distribution Data
Building reputation systems for better ranking
Policy Compatible Skill Incremental Learning via Lazy Learning Interface
A Randomized Strategy for Learning to Combine Many Features
Formulation and analysis of a DPG discretization for a simplified electrochemical model
This Was (Not) Intended: How Intent Communication and Biometrics Can Enhance Social Interactions With Robots
Crowdsourcing the State of the Art(ifacts)
Family of Integrated Multi-Input Multi-Output DC-DC Power Converters
Telco-oRAG: Optimizing Retrieval-augmented Generation for Telecom Queries via Hybrid Retrieval and Neural Routing
Coherent Multimodal Reasoning with Iterative Self-Evaluation for Vision-Language Models
Embedded Policing and Policy Enforcement based Security in the era of Digital-Physical Convergence for Next-Generation Vehicular Electronics
FREEtree: A Tree-based Approach for High Dimensional Longitudinal Data With Correlated Features
Mistake-bounded online learning with operation caps
Habitat Classification from Ground-Level Imagery Using Deep Neural Networks
Statistical learning for change point and anomaly detection in graphs
Credit card score prediction using machine learning models: A new dataset
Problife: a Probabilistic Game of Life
Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models
Dimensionality Reduction of Movement Primitives in Parameter Space
Sampling Polynomial Trajectories for LTL Verification
GeoSURGE: Geo-localization using Semantic Fusion with Hierarchy of Geographic Embeddings
The Natural Selection of Conservative Science
FATH: Authentication-based Test-time Defense against Indirect Prompt Injection Attacks
Multiscale guidance of AlphaFold3 with heterogeneous cryo-EM data
Learning the kernel matrix via predictive low-rank approximations
Autonomous and Semi-Autonomous Intersection Management: A Survey
Typical Performance of Irregular Low-Density Generator-Matrix Codes for Lossy Compression
A multi-candidate electronic voting scheme with unlimited participants
Pythia: Grammar-Based Fuzzing of REST APIs with Coverage-guided Feedback and Learning-based Mutations
Which US and European Higher Education Institutions are visible in ResearchGate and what affects their RG Score?
Reconstruction of Complex-Valued Fractional Brownian Motion Fields Based on Compressive Sampling and Its Application to PSF Interpolation in Weak Lensing Survey
Cost-constrained multi-label group feature selection using shadow features
Avoidance of Manual Labeling in Robotic Autonomous Navigation Through Multi-Sensory Semi-Supervised Learning
Model-Based Reinforcement Learning Control of Reaction-Diffusion Problems
Visuo-Tactile-Based Slip Detection Using A Multi-Scale Temporal Convolution Network
Formalising Confluence in PVS
A generalized parsing framework for Abstract Grammars
Spartus: A 9.4 TOp/s FPGA-based LSTM Accelerator Exploiting Spatio-temporal Sparsity
Advancing Melanoma Diagnosis with Self-Supervised Neural Networks: Evaluating the Effectiveness of Different Techniques
Navigating the Wild: Pareto-Optimal Visual Decision-Making in Image Space
Deep Compressed Learning for 3D Seismic Inversion
Error Analysis of CORDIC Processor with FPGA Implementation
The Data Enclave Advantage: A New Paradigm for Least-Privileged Data Access in a Zero-Trust World
Covering Number of Real Algebraic Varieties and Beyond: Improved Bounds and Applications
A Guidance Law for Terminal Phase Exo-Atmospheric Interception Against a Maneuvering Target using Angle-Only Measurements Optimized using Reinforcement Meta-Learning
Proceedings of the 3rd International Workshop on Mining and Learning in the Legal Domain (MLLD-23)
Convergence Analysis of Schr{ö}dinger-F{ö}llmer Sampler without Convexity
Theano-based Large-Scale Visual Recognition with Multiple GPUs
A nodally bound-preserving finite element method for hyperbolic convection-reaction problems
Leveraging Large Language Models to Analyze Emotional and Contextual Drivers of Teen Substance Use in Online Discussions
Data-Driven Analysis of AI in Medical Device Software in China: Deep Learning and General AI Trends Based on Regulatory Data
What is a Fair Diffusion Model? Designing Generative Text-To-Image Models to Incorporate Various Worldviews
Semi-Supervised Training with Pseudo-Labeling for End-to-End Neural Diarization
Multi-Decoder Networks with Multi-Denoising Inputs for Tumor Segmentation
Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification
A Dual Symmetric Gauss-Seidel Alternating Direction Method of Multipliers for Hyperspectral Sparse Unmixing
The NAO Backpack: An Open-hardware Add-on for Fast Software Development with the NAO Robot
Symmetry-Preserving Finite-Difference Schemes and Auto-Bäcklund Transformations for the Schwarz Equation
Visualization of Unstructured Sports Data - An Example of Cricket Short Text Commentary
Dif-MAML: Decentralized Multi-Agent Meta-Learning
Global Stabilization of Compressible Flow Between Two Moving Pistons
Stopping Rules for Stochastic Gradient Descent via Anytime-Valid Confidence Sequences
Decoding specialised feature neurons in LLMs with the final projection layer
Electrocardiographic Deep Learning for Predicting Post-Procedural Mortality
Learning and Adaptation in Millimeter-Wave: a Dual Timescale Variational Framework
Medical Image Quality Assessment based on Probability of Necessity and Sufficiency
Mind Your Ps and Qs: Supporting Positive Reinforcement in Moderation Through a Positive Queue
Graph-based Transform Coding with Application to Image Compression
An Online Approach to Cyberattack Detection and Localization in Smart Grid
ClearSight: Visual Signal Enhancement for Object Hallucination Mitigation in Multimodal Large language Models
Banzhaf Power in Hierarchical Voting Games
A positional Π 0 3 -complete objective
Learning Fair Classifiers: A Regularization-Inspired Approach
RotationDrag: Point-based Image Editing with Rotated Diffusion Features
Replacing the computer mouse
A deep causal inference model for fully-interpretable travel behaviour analysis
A Deep Reinforcement Learning based Algorithm for Time and Cost Optimized Scaling of Serverless Applications
Local distribution-based adaptive oversampling for imbalanced regression
Pre-Training on Large-Scale Generated Docking Conformations with HelixDock to Unlock the Potential of Protein-ligand Structure Prediction Models
Distinguishing Views in Symmetric Networks: A Tight Lower Bound
Cooperative constrained motion coordination of networked heterogeneous vehicles
Development of Crop Yield Estimation Model using Soil and Environmental Parameters
Numerical Identification of a Time-Dependent Coefficient in a Time-Fractional Diffusion Equation with Integral Constraints
Towards a copilot in BIM authoring tool using a large language model-based agent for intelligent human-machine interaction
Rethinking Tokenized Graph Transformers for Node Classification
Extracting Wyner's Common Randomness Using Polar Codes
Privacy Preserving Properties of Vision Classifiers
Sound Interval-Based Synthesis for Probabilistic Programs
Model Order Reduction for Temperature-Dependent Nonlinear Mechanical Systems: A Multiple Scales Approach
Learning Continuous Network Emerging Dynamics from Scarce Observations via Data-Adaptive Stochastic Processes
WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems
Small Models Achieve Large Language Model Performance: Evaluating Reasoning-Enabled AI for Secure Child Welfare Research
Female Librarians and Male Computer Programmers? Gender Bias in Occupational Images on Digital Media Platforms
Evaluation of Representation Models for Text Classification with AutoML Tools
Pole recovery from noisy data on imaginary axis
Tree Morphology for Phenotyping from Semantics-Based Mapping in Orchard Environments
Quantitative Risk Indices for Autonomous Vehicle Training Systems
Recurrent Convolutional Neural Networks for Scene Parsing
MQRetNN: Multi-Horizon Time Series Forecasting with Retrieval Augmentation
Global Convergence of Policy Gradient Methods in Reinforcement Learning, Games and Control
Absentee and Economic Impact of Low-Level Fine Particulate Matter and Ozone Exposure in K-12 Students
Smartphone Based Colorimetric Detection via Machine Learning
The Language of Weather: Social Media Reactions to Weather Accounting for Climatic and Linguistic Baselines
History of generative Artificial Intelligence (AI) chatbots: past, present, and future development
Taming Diffusion Transformer for Real-Time Mobile Video Generation
Hypocoercivity for Linear ODEs and Strong Stability for Runge-Kutta Methods
Optimizing Cyber Defense in Dynamic Active Directories through Reinforcement Learning
Majorization-Minimization Dual Stagewise Algorithm for Generalized Lasso
Developing High Quality Training Samples for Deep Learning Based Local Climate Classification in Korea
Alleviating the transit timing variation bias in transit surveys. I. RIVERS: Method and detection of a pair of resonant super-Earths around Kepler-1705
The b-symbol weight distribution of irreducible cyclic codes and related consequences
PiKV: KV Cache Management System for Mixture of Experts
Extending Network Calculus To Deal With Partially Negative And Decreasing Service Curves
Secure and Reliable Biometric Access Control for Resource-Constrained Systems and IoT
Pyramid Hierarchical Transformer for Hyperspectral Image Classification
Extraction Of Cumulative Blobs From Dynamic Gestures
Rough Set Based Color Channel Selection
Hamming distance completeness and sparse matrix multiplication
Delay Learning Architectures for Memory and Classification
Counterexamples on the monotonicity of delay optimal strategies for energy harvesting transmitters
Multiuser detection in a dynamic environment Part I: User identification and data detection
Augmenting Compositional Models for Knowledge Base Completion Using Gradient Representations
Computational Higher Type Theory I: Abstract Cubical Realizability
Forgetting Through Transforming: Enabling Federated Unlearning via Class-Aware Representation Transformation
Learning-based Models for Vulnerability Detection: An Extensive Study
On Reconstructing Training Data From Bayesian Posteriors and Trained Models
PRoTECT: Parallelized Construction of Safety Barrier Certificates for Nonlinear Polynomial Systems
A Systematic Study on Solving Aerospace Problems Using Metaheuristics
Implementing Zero Trust Architecture to Enhance Security and Resilience in the Pharmaceutical Supply Chain
Learning to Trust: Bayesian Adaptation to Varying Suggester Reliability in Sequential Decision Making
Seeing What Matters: Visual Preference Policy Optimization for Visual Generation
Graph Neural Networks: Taxonomy, Advances and Trends
Physical defintion of randomness
Compositional Algorithms on Compositional Data: Deciding Sheaves on Presheaves
Internet voting protocol based on implicit data security
Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory
Analysis of a fully discrete approximation for the classical Keller-Segel model: lower and \emph{a priori} bounds
Heterogeneous Multi-task Metric Learning across Multiple Domains
Joint PIC and relay selection based on greedy techniques for cooperative DS-CDMA systems
AI Chat Assistants can Improve Conversations about Divisive Topics
GeoAnalystBench: A GeoAI benchmark for assessing large language models for spatial analysis workflow and code generation
Learning to Summarize Videos by Contrasting Clips
Managing Power Gaps as a Topic of Pair Programming Skill: A Grounded Theory
Improved Approximation Guarantees for Shortest Superstrings using Cycle Classification by Overlap to Length Ratios
Realisability semantics of abstract focussing, formalised
Comparison of STR and EMLSR Performance in Wi-Fi 7 MLO
Compressive Measurement Designs for Estimating Structured Signals in Structured Clutter: A Bayesian Experimental Design Approach
RWR-GAE: Random Walk Regularization for Graph Auto Encoders
A Knowledge Distillation Approach for Sepsis Outcome Prediction from Multivariate Clinical Time Series
OW-CLIP: Data-Efficient Visual Supervision for Open-World Object Detection via Human-AI Collaboration
Public Intervention Strategies for Distressed Communities
The Qupit Stabiliser ZX-travaganza: Simplified Axioms, Normal Forms and Graph-Theoretic Simplification
Overriding Safety protections of Open-source Models
robROSE: A robust approach for dealing with imbalanced data in fraud detection
Improving 3D Occupancy Prediction through Class-balancing Loss and Multi-scale Representation
FADER: Fast Adversarial Example Rejection
Backdoor Attribution: Elucidating and Controlling Backdoor in Language Models
Estimation of Toeplitz Covariance Matrices using Overparameterized Gradient Descent
Multimodal Deep Learning for Personalized Renal Cell Carcinoma Prognosis: Integrating CT Imaging and Clinical Data
Paralleling and Accelerating Arc Consistency Enforcement with Recurrent Tensor Computations
PointWise: An Unsupervised Point-wise Feature Learning Network
CoinEM: Tuning-Free Particle-Based Variational Inference for Latent Variable Models
Which Argumentative Aspects of Hate Speech in Social Media can be reliably identified?
GAMMA: Generative Augmentation for Attentive Marine Debris Detection
Love, Joy, and Autism Robots: A Metareview and Provocatype
FeRA: Frequency-Energy Constrained Routing for Effective Diffusion Adaptation Fine-Tuning
Are we Done with Object Recognition? The iCub robot's Perspective
Minimum Processing Near-end Listening Enhancement
Reasoning over Description Logic-based Contexts with Transformers
Introducing MeMo: A Multimodal Dataset for Memory Modelling in Multiparty Conversations
NoisyICL: A Little Noise in Model Parameters Calibrates In-context Learning