yusuke1997/dblp-id-title huggingface dataset:
On Axiomatization of Inconsistency Indicators in Pairwise Comparisons
Oversight Structures for Agentic AI in Public-Sector Organizations
Out-of-Distribution Detection of Melanoma using Normalizing Flows
A Digital Twin of an Electrical Distribution Grid: SoCal 28-Bus Dataset
Using CNNs for AD classification based on spatial correlation of BOLD signals during the observation
Privacy Discourse and Emotional Dynamics in Mental Health Information Interaction on Reddit
Simulation in the Call-by-Need Lambda-Calculus with Letrec, Case, Constructors, and Seq
RoboOS-NeXT: A Unified Memory-based Framework for Lifelong, Scalable, and Robust Multi-Robot Collaboration
Measuring Complexity of Learning Schemes Using Hessian-Schatten Total-Variation
SCIRGC: Multi-Granularity Citation Recommendation and Citation Sentence Preference Alignment
Fragile object transportation by a multi-robot system in an unknown environment using a semi-decentralized control approach
Semantically Guided Evolution of SHI ABoxes
Skeleton-based Action Recognition via Temporal-Channel Aggregation
Gradient Descent Algorithm Survey
Grammar-Based Geodesics in Semantic Networks
Infinite-server queueing model with MAPkGk Markov arrival streams, random volume of customers in random environment subject to catastrophe
randextract: a Reference Library to Test and Validate Privacy Amplification Implementations
Deep EndoVO: A Recurrent Convolutional Neural Network (RCNN) based Visual Odometry Approach for Endoscopic Capsule Robots
One-Dimensional Solution Families of Nonlinear Systems Characterized by Scalar Functions on Riemannian Manifolds
Why ADAM Beats SGD for Attention Models
P-Aligner: Enabling Pre-Alignment of Language Models via Principled Instruction Synthesis
Analyzing the hate and counter speech accounts on Twitter
Multiscale modeling of dislocations: Combining peridynamics with gradient elasticity
Finite Element Approximation of Hamilton-Jacobi-Bellman equations with nonlinear mixed boundary conditions
Araguaia Medical Vision Lab at ISIC 2017 Skin Lesion Classification Challenge
hi-RF: Incremental Learning Random Forest for large-scale multi-class Data Classification
Combining optimal control and learning for autonomous aerial navigation in novel indoor environments
Test-cost-sensitive attribute reduction of data with normal distribution measurement errors
Hamiltonian-based Quantum Reinforcement Learning for Neural Combinatorial Optimization
Wireless-Friendly Window Position Optimization for RIS-Aided Outdoor-to-Indoor Networks based on Multi-Modal Large Language Model
Automated Muscle Segmentation from Clinical CT using Bayesian U-Net for Personalization of a Musculoskeletal Model
Hindi-English Code-Switching Speech Corpus
Quantitative Relaxations of Arrow's Axioms
Explanatory Graphs for CNNs
ScaleDiff: Higher-Resolution Image Synthesis via Efficient and Model-Agnostic Diffusion
Regionally Additive Models: Explainable-by-design models minimizing feature interactions
Stability Enhanced Privacy and Applications in Private Stochastic Gradient Descent
Towards Definition of Higher Order Causality in Complex Systems
A technical study and analysis on fuzzy similarity based models for text classification
Challenging Social Media Threats using Collective Well-being Aware Recommendation Algorithms and an Educational Virtual Companion
DLR : Toward a deep learned rhythmic representation for music content analysis
Who is more ready to get back in shape?
Non axiomatizability of Modal Lukasiewicz Logic
Policy Iteration for Pareto-Optimal Policies in Stochastic Stackelberg Games
Spread Decoding in Extension Fields
An LLM-based Quantitative Framework for Evaluating High-Stealthy Backdoor Risks in OSS Supply Chains
E-Values Expand the Scope of Conformal Prediction
Contrastive Learning Is Spectral Clustering On Similarity Graph
Efficient Model-Based Reinforcement Learning for Robot Control via Online Learning
Joint Estimation of Operational Topology and Outages for Unbalanced Power Distribution Systems
An O(log(n)) Fully Dynamic Algorithm for Maximum matching in a tree
Compressed Context Memory For Online Language Model Interaction
Dynamic Multi-objective Optimization of the Travelling Thief Problem
Ensemble learning and iterative training (ELIT) machine learning: applications towards uncertainty quantification and automated experiment in atom-resolved microscopy
Rewriting Theory for the Life Sciences: A Unifying Theory of CTMC Semantics (Long version)
Brain MRI Image Super Resolution using Phase Stretch Transform and Transfer Learning
Thermal regulation in thin vascular systems: A sensitivity analysis
Adaptive Fault Detection exploiting Redundancy with Uncertainties in Space and Time
ACTI at EVALITA 2023: Overview of the Conspiracy Theory Identification Task
MedKGEval: A Knowledge Graph-Based Multi-Turn Evaluation Framework for Open-Ended Patient Interactions with Clinical LLMs
The Techno-politics of Crowdsourced Disaster Data in the Smart City
SIEVE: General Purpose Data Filtering System Matching GPT-4o Accuracy at 1% the Cost
Signal Space CoSaMP for Sparse Recovery with Redundant Dictionaries
Training Long-Context, Multi-Turn Software Engineering Agents with Reinforcement Learning
Generating Multiple Hypotheses for Human 3D Pose Consistent with 2D Joint Detections
Admissible convergence behavior and mirroring of stagnation in restarted (block) GMRES
scAGC: Learning Adaptive Cell Graphs with Contrastive Guidance for Single-Cell Clustering
MobilityGPT: Enhanced Human Mobility Modeling with a GPT model
Errata: Distant Supervision for Relation Extraction with Matrix Completion
Feature-Based Network Construction: From Sampling to What-if Analysis
Aspects of human memory and Large Language Models
A light metric spanner
Learning Players' Objectives in Continuous Dynamic Games from Partial State Observations
A Constraint Logic Programming Approach for Computing Ordinal Conditional Functions
Evolving the Incremental λ Calculus into a Model of Forward Automatic Differentiation (AD)
Morphology-Aware Prognostic model for Five-Year Survival Prediction in Colorectal Cancer from H&E Whole Slide Images
Unbounded-Time Analysis of Guarded LTI Systems with Inputs by Abstract Acceleration (extended version)
Simultaneous Modular Reduction and Kronecker Substitution for Small Finite Fields
A sub-quadratic algorithm for the longest common increasing subsequence problem
NerfBaselines: Consistent and Reproducible Evaluation of Novel View Synthesis Methods
Learning and Selfconfirming Equilibria in Network Games
Recommendation with k-anonymized Ratings
SEMv2: Table Separation Line Detection Based on Conditional Convolution
Description of the CUDF Format
The Future of Child Development in the AI Era. Cross-Disciplinary Perspectives Between AI and Child Development Experts
Fair Comparison: Quantifying Variance in Resultsfor Fine-grained Visual Categorization
A Multi-level procedure for enhancing accuracy of machine learning algorithms
Activity Recognition based on a Magnitude-Orientation Stream Network
A multi-schematic classifier-independent oversampling approach for imbalanced datasets
Time-Causal VAE: Robust Financial Time Series Generator
The Visual Iconicity Challenge: Evaluating Vision-Language Models on Sign Language Form-Meaning Mapping
Predicting Stock Price Movement as an Image Classification Problem
Security Improvement of an Image Encryption Based on mPixel-Chaotic-Shuffle and Pixel-Chaotic-Diffusion
Symmetries in the wheeled inverted pendulum mechanism
NEBULA: Do We Evaluate Vision-Language-Action Agents Correctly?
Performance Enhancement of the Golden Code by Utilizing ORIOL Antenna
Online Vertex Cover and Matching: Beating the Greedy Algorithm
Should we hard-code the recurrence concept or learn it instead ? Exploring the Transformer architecture for Audio-Visual Speech Recognition
XRLoc: Accurate UWB Localization for XR Systems
Teaching Metric Distance to Autoregressive Multimodal Foundational Models
Communication Efficient Cooperative Edge AI via Event-Triggered Computation Offloading
Few Shot Speaker Recognition using Deep Neural Networks
Exploring Surround-View Fisheye Camera 3D Object Detection
Lossless Compression of Neural Network Components: Weights, Checkpoints, and K/V Caches in Low-Precision Formats
Rhythm Dungeon: A Blockchain-based Music Roguelike Game
Advanced Antenna Techniques and High Order Sectorization with Novel Network Tessellation for Enhancing Macro Cell Capacity in DC-HSDPA Network
DiscoGen: Learning to Discover Gene Regulatory Networks
PI(t)D(t) Control and Motion Profiling for Omnidirectional Mobile Robots
Adding New Tasks to a Single Network with Weight Trasformations using Binary Masks
An Empirical Study on LLM-based Classification of Requirements-related Provisions in Food-safety Regulations
Digital filters with vanishing moments for shape analysis
Fast Approximation and Randomized Algorithms for Diameter
Passivity Tools for Hybrid Learning Rules in Large Populations
Content Distribution in Unicast Replica Meshes
Turning Sand to Gold: Recycling Data to Bridge On-Policy and Off-Policy Learning via Causal Bound
Fuzzy Unique Image Transformation: Defense Against Adversarial Attacks On Deep COVID-19 Models
Belief Propagation on replica symmetric random factor graph models
Service Rate Regions of MDS Codes & Fractional Matchings in Quasi-uniform Hypergraphs
Quantitative Evaluation of MILs' Reliability For WSIs Classification
Image Deconvolution via Noise-Tolerant Self-Supervised Inversion
An assessment of the first "scientific accreditation" for university appointments in Italy
Cognitive systems evolve complex representations for adaptive behavior
A simple model for citation curve
Online Stochastic Optimization with Multiple Objectives
Evaluation of adaptive sampling methods in scenario generation for virtual safety impact assessment of pre-crash safety systems
Taxonomy Enrichment with Text and Graph Vector Representations
FishEyeRecNet: A Multi-Context Collaborative Deep Network for Fisheye Image Rectification
Information-flow Interfaces and Security Lattices
Isogeometric analysis with piece-wise constant test functions
Automated Intersection Management with MiniZinc
Modeling of human society as a locally interacting product-potential networks of automaton
Simultaneous Presentation of Thermal and Mechanical Stimulation Using High-Intensity Airborne Ultrasound
SegNeRF: 3D Part Segmentation with Neural Radiance Fields
An OpenGL and C++ based function library for curve and surface modeling in a large class of extended Chebyshev spaces
Online Video Instance Segmentation via Robust Context Fusion
DCAF: A Dynamic Computation Allocation Framework for Online Serving System
Fully Data-driven but Interpretable Human Behavioural Modelling with Differentiable Discrete Choice Model
Volatile Organic Compounds for Stress Detection: A Scoping Review and Exploratory Feasibility Study with Low-Cost Sensors
Flexible human-robot cooperation models for assisted shop-floor tasks
Visibility and Separability for a Declarative Linearizability Proof of the Timestamped Stack: Extended Version
Between Discord and Deadlock: Consensus Under a Deadline
Learning from Training Dynamics: Identifying Mislabeled Data Beyond Manually Designed Features
MAPLE: A Mobile Assistant with Persistent Finite State Machines for Recovery Reasoning
Verhulst-Lotka-Volterra (VLV) model of ideological struggles
QM-ToT: A Medical Tree of Thoughts Reasoning Framework for Quantized Model
Over-the-Air Computation Systems: Optimal Design with Sum-Power Constraint
Archtree: on-the-fly tree-structured exploration for latency-aware pruning of deep neural networks
Practical Inlining of Functions with Free Variables
Constructing Confidence Intervals for 'the' Generalization Error - a Comprehensive Benchmark Study
Experimental validation of machine-learning based spectral-spatial power evolution shaping using Raman amplifiers
Computational Simulation and 3D Virtual Reality Engineering Tools for Dynamical Modeling and Imaging of Composite Nanomaterials
Mem-elements based Neuromorphic Hardware for Neural Network Application
Resource Management in Fog/Edge Computing: A Survey
On the reduction of a random basis
EdgeBench: A Workflow-based Benchmark for Edge Computing
Using Low-Discrepancy Points for Data Compression in Machine Learning: An Experimental Comparison
Confinement Control of Double Integrators using Partially Periodic Leader Trajectories
Formal study of plane Delaunay triangulation
Exploring the Impact of Temperature Scaling in Softmax for Classification and Adversarial Robustness
The Power of Attention: Bridging Cognitive Load, Multimedia Learning, and AI
Training Auto-encoders Effectively via Eliminating Task-irrelevant Input Variables
A Parallel Algorithm for Generating a Random Graph with a Prescribed Degree Sequence
Java Card Virtual Machine Memory Organization: a Design Proposal
The government of state's power bodies by means of the Internet
SinGAN-Seg: Synthetic Training Data Generation for Medical Image Segmentation
An algebraic preconditioner for the exactly divergence-free discontinuous Galerkin method for Stokes
Rademacher Complexity and Numerical Quadrature Analysis of Stable Neural Networks with Applications to Numerical PDEs
Reconstruction of Sentinel-2 Time Series Using Robust Gaussian Mixture Models - Application to the Detection of Anomalous Crop Development in wheat and rapeseed crops
New Convolutional Codes Derived from Algebraic Geometry Codes
Single machine slack due-window assignment and scheduling of linear time-dependent deteriorating jobs and a deteriorating maintenance activity
Beamforming in LEO Constellations for NB-IoT Services in 6G Communications
Hardness of Samples Is All You Need: Protecting Deep Learning Models Using Hardness of Samples
Weighted sparsity and sparse tensor networks for least squares approximation
On an optimal quadrature formula for approximation of Fourier integrals in the space L 2 (1)
Automatically Generating Documentation for Lambda Expressions in Java
KernelGPA: A Globally Optimal Solution to Deformable SLAM in Closed-form
Blending Diverse Physical Priors with Neural Networks
Domain Decomposition with Neural Network Interface Approximations for time-harmonic Maxwell's equations with different wave numbers
Trilateration-based Multi-hop for the Long Range Wide Area Network
BRFL: A Blockchain-based Byzantine-Robust Federated Learning Model
LIVE: Lidar Informed Visual Search for Multiple Objects with Multiple Robots
Zero-Shot Audio-Visual Editing via Cross-Modal Delta Denoising
Nonlinear q-voter model with deadlocks on the Watts-Strogatz graph
CombiGCN: An effective GCN model for Recommender System
Image Diffusion Models Exhibit Emergent Temporal Propagation in Videos
Fixed-budget and Multiple-issue Quadratic Voting
Disentangling the Roles of Target-Side Transfer and Regularization in Multilingual Machine Translation
Style Transfer for 2D Talking Head Animation
Adapting to Unknown Noise Distribution in Matrix Denoising
A compact QUBO encoding of computational logic formulae demonstrated on cryptography constructions
Nationality, Race, and Ethnicity Biases in and Consequences of Detecting AI-Generated Self-Presentations
Multi-Point Synchronization for Fog-Controlled Internet of Things
Striking the Perfect Balance: Preserving Privacy While Boosting Utility in Collaborative Medical Prediction Platforms
Convergence Rates for Oversmoothing Banach Space Regularization
DisTime: Distribution-based Time Representation for Video Large Language Models
Low-order divergence-free approximations for the Stokes problem on Worsey-Farin and Powell-Sabin splits
Regress Consistently when Oblivious Outliers Overwhelm
A survey of multi-agent geosimulation methodologies: from ABM to LLM
Not All Thats Rare Is Lost: Causal Paths to Rare Concept Synthesis
Binary Space Partitioning Forests
SNGuess: A method for the selection of young extragalactic transients
Level-Triggered Harvest-then-Consume Protocol with Two Bits or Less Energy State Information
Polynomial-Time Amoeba Neighborhood Membership and Faster Localized Solving
CoPL: Collaborative Preference Learning for Personalizing LLMs
Deep Generative Sampling in the Dual Divergence Space: A Data-efficient & Interpretative Approach for Generative AI
Numerical study on a multi-dimensional pressureless Euler-type model with non-local interactions and chemotaxis for collective cell migration
Computationally efficient joint coordination of multiple electric vehicle charging points using reinforcement learning
PRM: Photometric Stereo based Large Reconstruction Model
Cocktail: Cost-efficient and Data Skew-aware Online In-Network Distributed Machine Learning for Intelligent 5G and Beyond
Requirements Engineering using Generative AI: Prompts and Prompting Patterns
DD-Ranking: Rethinking the Evaluation of Dataset Distillation
PhaseSeed: Precise Call Graph Construction for Split-Phase Applications using Dynamic Seeding
Partially Non-Recurrent Controllers for Memory-Augmented Neural Networks
Vulcan: Instance-Optimal Systems Heuristics Through LLM-Driven Search
Unleashing the potential of GNNs via Bi-directional Knowledge Transfer
Bridging the Gaps: Learning Verifiable Model-Free Quadratic Programming Controllers Inspired by Model Predictive Control
A Comprehensive General Model of Tendon-Actuated Concentric Tube Robots with Multiple Tubes and Tendons
Deep Reinforcement Learning with an Unbounded Action Space
Quantum-Enhanced Reinforcement Learning for Power Grid Security Assessment
A BERT-based Hierarchical Classification Model with Applications in Chinese Commodity Classification
A Low-Cost Photogrammetry System for 3D Plant Modeling and Phenotyping
Online Dominating Set and Coloring for Geometric Intersection Graphs
Protect: Towards Robust Guardrailing Stack for Trustworthy Enterprise LLM Systems
Beyond the entropy power inequality, via rearrangements
The Turing Deception
An HPC Pipeline with Validation Framework for Small Animal Multivariate Brain Analysis (SAMBA)
A Novel Data Segmentation Based Approach for Meter Topology Identification using Smart Meter Voltage and Power Measurements
Turing Machines cannot simulate the human mind
An ontology-based approach to the optimization of non-binary (2, v)-regular LDPC codes
Divergence Framework for EEG based Multiclass Motor Imagery Brain Computer Interface
Information Gradient for Nonlinear Gaussian Channel with Applications to Task-Oriented Communication
A fast spectral sum-of-Gaussians method for electrostatic summation in quasi-2D systems
AGITB: A Signal-Level Benchmark for Evaluating Artificial General Intelligence
Deep Learning for Post-Processing Ensemble Weather Forecasts
AI Driven Laser Parameter Search: Inverse Design of Photonic Surfaces using Greedy Surrogate-based Optimization
H(curl)-based approximation of the Stokes problem with slip boundary conditions
Machine-interpretable Engineering Design Standards for Valve Specification
A Reason-then-Describe Instruction Interpreter for Controllable Video Generation
Randomized Consensus based Distributed Kalman Filtering over Wireless Sensor Networks
Transforming Feature Space to Interpret Machine Learning Models
Efficient Machine-type Communication using Multi-metric Context-awareness for Cars used as Mobile Sensors in Upcoming 5G Networks
Fast Galerkin Method for Solving Helmholtz Boundary Integral Equations on Screens
Fixed-Point-Oriented Programming: A Concise and Elegant Paradigm
OpenGloss: A Synthetic Encyclopedic Dictionary and Semantic Knowledge Graph
Enhancing Player Enjoyment with a Two-Tier DRL and LLM-Based Agent System for Fighting Games
SEDML: Securely and Efficiently Harnessing Distributed Knowledge in Machine Learning
Machine Learning Promoting Extreme Simplification of Spectroscopy Equipment
Sparse Gaussian Process Modulated Hawkes Process
On the number of equivalence classes of invertible Boolean functions under action of permutation of variables on domain and range
Dimensionality Reduction for k-means Clustering
Hybrid Recommendation System using Graph Neural Network and BERT Embeddings
Analysis and finite element approximation of a diffuse interface approach to the Stokes-Biot coupling
StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech Synthesis
Ultrasound Image Enhancement using CycleGAN and Perceptual Loss
Multimodal Continual Instruction Tuning with Dynamic Gradient Guidance
Fairness-Oriented Semi-Chaotic Genetic Algorithm-Based Channel Assignment Technique for Nodes Starvation Problem in Wireless Mesh Network
Classification of distributed binary labeling problems
Graph Augmentation for Cross Graph Domain Generalization
Using Diachronic Distributed Word Representations as Models of Lexical Development in Children
Extremal Properties of Complex Networks
Model-Free Optimal Control of Linear Multi-Agent Systems via Decomposition and Hierarchical Approximation
Unsupervised Network Embedding for Graph Visualization, Clustering and Classification
Robust explicit model predictive control for hybrid linear systems with parameter uncertainties
The COMMOTIONS Urban Interactions Driving Simulator Study Dataset
The Interplay of Statistics and Noisy Optimization: Learning Linear Predictors with Random Data Weights
Object-Oriented Sokoban Solver: A Serious Game Project for OOAD and AI Education
Generalization Guarantees for Learning Branch-and-Cut Policies in Integer Programming
Fine-tuning with RAG for Improving LLM Learning of New Skills
Pyramid Vector Quantization for Deep Learning
Federated Learning for Energy Constrained IoT devices: A systematic mapping study
NP-Completeness of deciding the feasibility of Linear Equations over binary-variables with coefficients and constants that are 0, 1, or -1
II-FCN for skin lesion analysis towards melanoma detection
Graph Neural Networks for User Satisfaction Classification in Human-Computer Interaction
A note on energy contraction and optimal convergence of adaptive iterative linearized finite element methods
Interactive Reconciliation with Low-Density Parity-Check Codes
Language Generation in the Limit: Noise, Loss, and Feedback
A Large Language Model for Feasible and Diverse Population Synthesis
Markovian models for one dimensional structure estimation on heavily noisy imagery
PriViT: Vision Transformers for Fast Private Inference
Distributed Chernoff Test: Optimal decision systems over networks
Copyright Protection for Large Language Models: A Survey of Methods, Challenges, and Trends
Kernel Learning For Sound Field Estimation With L1 and L2 Regularizations
Triple Phase Transitions: Understanding the Learning Dynamics of Large Language Models from a Neuroscience Perspective
Multi-Sensor Fuzzy Data Fusion Using Sensors with Different Characteristics
Generalisation in fully-connected neural networks for time series forecasting
Visual Methods for Sign Language Recognition: A Modality-Based Review
SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection
Bandana: Using Non-volatile Memory for Storing Deep Learning Models
Clustering Survival Data using a Mixture of Non-parametric Experts
Gender imbalance in retracted publications is more favorable toward women authors
M2D2: A Massively Multi-domain Language Modeling Dataset
Open Scene Graphs for Open World Object-Goal Navigation
Prior Support Knowledge-Aided Sparse Bayesian Learning with Partly Erroneous Support Information
An Empirical and Comparative Analysis of Data Valuation with Scalable Algorithms
Feedback Forensics: A Toolkit to Measure AI Personality
Small-Bias Sets for Nonabelian Groups: Derandomizing the Alon-Roichman Theorem
Enabling Cross-Domain Communication: How to Bridge the Gap between AI and HW Engineers
Optimal Policies for Simultaneous Energy Consumption and Ancillary Service Provision for Flexible Loads under Stochastic Prices and No Capacity Reservation Constraint
Finding a planted clique by adaptive probing
Stochastic Agent-Based Models of Intimate Partner Violence
Global-local Enhancement Network for NMFs-aware Sign Language Recognition
Federated Timeline Synthesis: Scalable and Private Methodology For Model Training and Deployment
CLUE-MARK: Watermarking Diffusion Models using CLWE
A Continuous Opinion Dynamic Model in Co-evolving Networks-A Novel Group Decision Approach