yusuke1997/dblp-id-title huggingface dataset:
Climate-driven statistical models as effective predictors of local dengue incidence in Costa Rica: A Generalized Additive Model and Random Forest approach
Efficient Computation of Blackwell Optimal Policies using Rational Functions
SAMUS: Adapting Segment Anything Model for Clinically-Friendly and Generalizable Ultrasound Image Segmentation
A Soft-Rigid Hybrid Gripper with Lateral Compliance and Dexterous In-hand Manipulation
Progressively refined deep joint registration segmentation (ProRSeg) of gastrointestinal organs at risk: Application to MRI and cone-beam CT
Distributed Coloring in the SLEEPING Model
Generalizable Task Planning through Representation Pretraining
A New Weakly Supervised Learning Approach for Real-time Iron Ore Feed Load Estimation
Localization Is All You Evaluate: Data Leakage in Online Mapping Datasets and How to Fix It
Orientation-anchored Hyper-Gaussian for 4D Reconstruction from Casual Videos
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs can be Secretly Coded into the Entropy of Classifiers' Outputs
SCW Codes for Maximum Likelihood Detection in Diffusive Molecular Communications without Channel State Information
Power-Traffic Coordinated Operation for Bi-Peak Shaving and Bi-Ramp Smoothing -A Hierarchical Data-Driven Approach
Thought Manipulation: External Thought Can Be Efficient for Large Reasoning Models
Stochastic Planning with Conflicting Temporal Logic Goals
Only 5\% Attention Is All You Need: Efficient Long-range Document-level Neural Machine Translation
Decoding the Configuration of AI Coding Agents: Insights from Claude Code Projects
Fast mixing in Ising models with a negative spectral outlier via Gaussian approximation
A Model-Based Extended State Observer for Discrete-Time Linear Multivariable Systems
The CASE Framework - A New Architecture for Participatory Research and Digital Health Surveillance
Structure from Motion: Theoretical Foundations of a Novel Approach Using Custom Built Invariants
On the Training Convergence of Transformers for In-Context Classification
Derivatives of mutual information in Gaussian channels
Precise Repositioning of Robotic Ultrasound: Improving Registration-based Motion Compensation using Ultrasound Confidence Optimization
Ensemble of Task-Specific Language Models for Brain Encoding
On Training Bi-directional Neural Network Language Model with Noise Contrastive Estimation
Fast and Robust Ground Surface Estimation from LIDAR Measurements using Uniform B-Splines
When Cyber Aggression Prediction Meets BERT on Social Media
Proposal for improvement in the transfer and execution of multiple instances of a virtual image
Learning Bipedal Walking for Humanoids with Current Feedback
Risks and Opportunities in Human-Machine Teaming in Operationalizing Machine Learning Target Variables
L3 Fusion: Fast Transformed Convolutions on CPUs
Breaking the Paradox of Explainable Deep Learning
KnowGuard: Knowledge-Driven Abstention for Multi-Round Clinical Reasoning
Advances in Transformers for Robotic Applications: A Review
On random embeddings and their application to optimisation
ReStorEdge: An edge computing system with reuse semantics
Deep Polynomial Chaos Expansion
End-to-End Chinese Parsing Exploiting Lexicons
Privacy-hardened and hallucination-resistant synthetic data generation with logic-solvers
Less is More: DocString Compression in Code Generation
Mal-Netminer: Malware Classification Approach based on Social Network Analysis of System Call Graph
What Role Can NOMA Play in Massive MIMO?
One-Class SVM with Privileged Information and its Application to Malware Detection
Detection of Deepfake Videos Using Long Distance Attention
CoBaR: Confidence-Based Recommender
Anatomical labeling of brain CT scan anomalies using multi-context nearest neighbor relation networks
CiteAssist: A System for Automated Preprint Citation and BibTeX Generation
Branch Prediction in Hardcaml for a RISC-V 32im CPU
Beyond Classification: Towards Speech Emotion Reasoning with Multitask AudioLLMs
Lagrangian Neural Networks for Reversible Dissipative Evolution
Sun-Shine: A Large Language Model for Tibetan Culture
Automatic Recall Machines: Internal Replay, Continual Learning and the Brain
Video Compressive Sensing for Spatial Multiplexing Cameras using Motion-Flow Models
OUS: Scene-Guided Dynamic Facial Expression Recognition
Recognition and evaluation of constellation diagram using deep learning based on underwater wireless optical communication
A Comprehensive Evaluation of Transformer-Based Question Answering Models and RAG-Enhanced Design
Symbolic Synthesis of Neural Networks
An Adaptive Dynamic Replacement Approach for a Multicast based Popularity Aware Prefix Cache Memory System
Low-Complexity Control for a Class of Uncertain MIMO Nonlinear Systems under Generalized Time-Varying Output Constraints
Hierarchical Few-Shot Generative Models
Conformal Segmentation in Industrial Surface Defect Detection with Statistical Guarantees
Analyzing Uncertainty of LLM-as-a-Judge: Interval Evaluations with Conformal Prediction
Subjective Behaviors and Preferences in LLM: Language of Browsing
Partial Orders for Precise and Efficient Dynamic Deadlock Prediction
Preventing Small (s, t)-Cuts by Protecting Edges
The Efficiency Gap Does Not Satisfy the Efficiency Principle
Systematic Weight Evaluation for Pruning Large Language Models: Enhancing Performance and Sustainability
Contributions to Context-Aware Smart Healthcare: A Security and Privacy Perspective
Customize Harmonic Potential Fields via Hybrid Optimization over Homotopic Paths
Smart, Adaptive Energy Optimization for Mobile Web Interactions
Addressing the Load Estimation Problem: Cell Switching in HAPS-Assisted Sustainable 6G Networks
SuperMeshing: A New Deep Learning Architecture for Increasing the Mesh Density of Metal Forming Stress Field with Attention Mechanism and Perceptual Features
Multi-Agent Fully Decentralized Off-Policy Learning with Linear Convergence Rates
Distributional semantic modeling: a revised technique to train term/word vector space models applying the ontology-related approach
Safety-Constrained Learning and Control using Scarce Data and Reciprocal Barriers
Fake News in Social Networks
Naive probability
Data-driven balanced truncation for second-order systems with generalized proportional damping
Domain-Independent Dynamic Programming
Live(r) Die: Predicting Survival in Colorectal Liver Metastasis
Satisfiability Checking and Symbolic Computation
SNOiC: Soft Labeling and Noisy Mixup based Open Intent Classification Model
Challenges and targets of MRAM-enabled scaled spintronic logic circuits
Identifying Alzheimer's Disease Prediction Strategies of Convolutional Neural Network Classifiers using R2* Maps and Spectral Clustering
Frame-Subtitle Self-Supervision for Multi-Modal Video Question Answering
A Tutorial on Modeling and Analysis of Dynamic Social Networks. Part II
Second Order Analysis for Joint Source-Channel Coding with Markovian Source
Emoji-based Co-attention Network for Microblog Sentiment Analysis
Forecast-Then-Optimize Deep Learning Methods
Understanding Diverse Smarpthone Usage Patterns from Large-Scale Appstore-Service Profiles
Fast and Reliable Generation of EHR Time Series via Diffusion Models
Embeddability of Arrangements of Pseudocircles into the Sphere
Clustering is Efficient for Approximate Maximum Inner Product Search
Entropy Based Cartoon Texture Separation
Exact separation of forbidden-set cuts associated with redundant parity checks of binary linear codes
The EMPATHIC Project: Building an Expressive, Advanced Virtual Coach to Improve Independent Healthy-Life-Years of the Elderly
Goal-Directed Search Outperforms Goal-Agnostic Memory Compression in Long-Context Memory Tasks
Can we track the geography of surnames based on bibliographic data?
Approximate Quantum Error Correction Revisited: Introducing the Alphabit
Modeling Aspect Mechanisms: A Top-Down Approach
$α$-divergence derived as the generalized rate function in a power-law system
Online Learning of Joint-Muscle Mapping Using Vision in Tendon-driven Musculoskeletal Humanoids
AlphaSharpe: LLM-Driven Discovery of Robust Risk-Adjusted Metrics
Approximate reconstructability of quantum states and noisy quantum secret sharing schemes
Deep GDashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks
Technology Use in the Virtual R&D Teams
Distributionally Robust Unsupervised Dense Retrieval Training on Web Graphs
Privacy Analysis and Evaluation Policy of Blockchain-based Anonymous Cryptocurrencies
Parallelization of the FFT on SO(3)
Implementing and Verifying Release-Acquire Transactional Memory (Extended Version)
A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care: Choosing the Best Model for COVID-19 Prognosis
Quotient complex (QC)-based machine learning for 2D perovskite design
A Note on Connectivity of Sublevel Sets in Deep Learning
Multi-Modal 3D Mesh Reconstruction from Images and Text
Learning out-of-time-ordered correlators with classical kernel methods
Contact-Aware Refinement of Human Pose Pseudo-Ground Truth via Bioimpedance Sensing
Nanogrid Power Management Based on Fuzzy Logic Controller
Scalable nonparametric Bayesian learning for heterogeneous and dynamic velocity fields
Curves, points, incidences and covering
Adversarially Regularized Graph Attention Networks for Inductive Learning on Partially Labeled Graphs
Demystifying and Enhancing the Efficiency of Large Language Model Based Search Agents
Reactive Proof Labeling Schemes for Distributed Decision
An Evolutionary Game based Secure Clustering Protocol with Fuzzy Trust Evaluation and Outlier Detection for Wireless Sensor Networks
Structure and function in flow networks
Angular Triplet-Center Loss for Multi-view 3D Shape Retrieval
Age of Incorrect Information in Random Access Channels without Feedback
Transformer-Based Scalable Multi-Agent Reinforcement Learning for Networked Systems with Long-Range Interactions
DecoupleSearch: Decouple Planning and Search via Hierarchical Reward Modeling
Generator-Retriever-Generator: A Novel Approach to Open-domain Question Answering
Sample Efficient Model Evaluation
Convergence-Privacy-Fairness Trade-Off in Personalized Federated Learning
What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI)
XAI Evaluation Framework for Semantic Segmentation
Influence of image noise on crack detection performance of deep convolutional neural networks
BTC-SAM: Leveraging LLMs for Generation of Bias Test Cases for Sentiment Analysis Models
Deep Image Style Transfer from Freeform Text
Implicit Euler Discrete-Time Set-Valued Admittance Control for Impact-Contact Force Control
Nodule2vec: a 3D Deep Learning System for Pulmonary Nodule Retrieval Using Semantic Representation
A Graph-based Framework for Transmission of Correlated Sources over Broadcast Channels
IIP-Mixer: Intra-Inter Patch Mixing Architecture for Battery Remaining Useful Life Prediction
Non-contact Multimodal Indoor Human Monitoring Systems: A Survey
AI-assisted summary of suicide risk Formulation
Hoplite: Efficient Collective Communication for Task-Based Distributed Systems
Blockchain Consensuses Algorithms: A Survey
An Analysis of Triangulation in Geometrically Noisy Environments using Mathematics
Emotion Dynamics in Movie Dialogues
COME: Dual Structure-Semantic Learning with Collaborative MoE for Universal Lesion Detection Across Heterogeneous Ultrasound Datasets
PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control
Distribution-Controlled Client Selection to Improve Federated Learning Strategies
Are skip connections necessary for biologically plausible learning rules?
Long-term Safe Reinforcement Learning with Binary Feedback
A convex formulation for high-dimensional sparse sliced inverse regression
On unbounded directions of linear interval parametric systems and their extensions to AE solutions
LaMSUM: A Novel Framework for Extractive Summarization of User Generated Content using LLMs
Unraveling the Autism spectrum heterogeneity: Insights from ABIDE I Database using data/model-driven permutation testing approaches
QuaCer-C: Quantitative Certification of Knowledge Comprehension in LLMs
AGAR: Attention Graph-RNN for Adaptative Motion Prediction of Point Clouds of Deformable Objects
The Hermite and Fourier transforms in sparse reconstruction of sinusoidal signals
Complex ratio masking for singing voice separation
A Multi-Agent System for Complex Reasoning in Radiology Visual Question Answering
DefGraspSim: Simulation-based grasping of 3D deformable objects
Dual Sequential Monte Carlo: Tunneling Filtering and Planning in Continuous POMDPs
A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension
Adaptive Regularization of Labels
Benchmarking and Improving LLM Robustness for Personalized Generation
Multi-view Feature Extraction based on Triple Contrastive Heads
Comparative Studies on Decentralized Multiloop PID Controller Design Using Evolutionary Algorithms
A Tree-structure Convolutional Neural Network for Temporal Features Exaction on Sensor-based Multi-resident Activity Recognition
Pairwise Independent Random Walks can be Slightly Unbounded
Reinforcement Learning For Data Poisoning on Graph Neural Networks
CloudSimNFV: Modeling and Simulation of Energy-Efficient NFV in Cloud Data Centers
Graph Cut Segmentation Methods Revisited with a Quantum Algorithm
EARLIN: Early Out-of-Distribution Detection for Resource-efficient Collaborative Inference
Fast Data Attribution for Text-to-Image Models
Speeding-up Object Detection Training for Robotics with FALKON
Model Order Reduction for Rotating Electrical Machines
Some Supplementaries to The Counting Semantics for Abstract Argumentation
Preserving Simultaneity and Chronology for Sensing in Wireless Perceptive Networks
Recurrence With Correlation Network for Medical Image Registration
A resnet-based universal method for speckle reduction in optical coherence tomography images
Chemically-Informed Machine Learning Approach for Prediction of Reactivity Ratios in Radical Copolymerization
Interval Analysis of Worst-case Stationary Moments for Stochastic Chemical Reactions with Uncertain Parameters
Large Generative Model-assisted Talking-face Semantic Communication System
Mean-Field Control Approach to Decentralized Stochastic Control with Finite-Dimensional Memories
Can A Gamer Train A Mathematical Reasoning Model?
Impact of Random Loss on TCP Performance in Mobile Ad hoc Networks (IEEE 802.11), A Simulation-Based Analysis
Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
An HLL Riemann solver for the hybridised discontinuous Galerkin formulation of compressible flows
Generalized Grounding Graphs: A Probabilistic Framework for Understanding Grounded Commands
On Self-Avoiding Walks across n-Dimensional Dice and Combinatorial Optimization: An Introduction
Completion of Choice
Development of Multistage Machine Learning Classifier using Decision Trees and Boosting Algorithms over Darknet Network Traffic
On Linear spaces of of matrices bounded rank
Mesoscale Modeling of an Active Colloid's Motion
Online Learning for Receding Horizon Control with Provable Regret Guarantees
SoK: An Analysis of Protocol Design: Avoiding Traps for Implementation and Deployment
Model Validation in Ontology Based Transformations
Proceedings 8th International Conference Words 2011, Prague, Czech Republic, 12-16th September 2011
Prospect Theory for Enhanced Smart Grid Resilience Using Distributed Energy Storage
Exploring Hypergraph Representation on Face Anti-spoofing Beyond 2D Attacks
Differential Logical Relations, Part I: The Simply-Typed Case (Long Version)
Advertising Competitions in Social Networks
Modeling QoE of Video Streaming in Wireless Networks with Large-Scale Measurement of User Behavior
Sequential change-point detection for mutually exciting point processes over networks
Identifying Systems with Symmetries using Equivariant Autoregressive Reservoir Computers
Separating Topology and Geometry in Space Planning
PhiBE: A PDE-based Bellman Equation for Continuous Time Policy Evaluation
The impact of binaural white noise with oscillations of 100 to 750hz in the short-term visual working memory and the reactivity of alpha and beta cerebral waves
The Dual and the Gray Image of Codes over F q +vF q +v 2 F q
Shared Bottleneck Detecction Based on Trend Line Regression for Multipath Transmission
Profile of Vulnerability Remediations in Dependencies Using Graph Analysis
Normalized Information Distance and the Oscillation Hierarchy
Hunyuan3D-Omni: A Unified Framework for Controllable Generation of 3D Assets
A non-graphical representation of conditional independence via the neighbourhood lattice
On Selecting Stable Predictors in Time Series Models
Polygon Detection from a Set of Lines
Dual Discriminator Adversarial Distillation for Data-free Model Compression
GPT-4's One-Dimensional Mapping of Morality: How the Accuracy of Country-Estimates Depends on Moral Domain
Pattern matching in compilers
In the Saddle: Chasing Fast and Repeatable Features
GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging
LoX: Low-Rank Extrapolation Robustifies LLM Safety Against Fine-tuning
Understanding the influence of Individual's Self-efficacy for Information Systems Security Innovation Adoption: A Systematic Literature Review
Siamese-NAS: Using Trained Samples Efficiently to Find Lightweight Neural Architecture by Prior Knowledge
Phase-field modeling of fluid-driven dynamic cracking in porous media
Analysis of Kelner and Levin graph sparsification algorithm for a streaming setting
Spectral Normalization and Voigt-Reuss net: A universal approach to microstructure-property forecasting with physical guarantees
Patent Citation Spectroscopy (PCS): Algorithmic retrieval of landmark patents
ThinKV: Thought-Adaptive KV Cache Compression for Efficient Reasoning Models
A Model-Based Approach to Automated Digital Twin Generation in Manufacturing
Equality Constrained Decision Trees: For the Algorithmic Enforcement of Group Fairness
Cyber-risk Perception and Prioritization for Decision-Making and Threat Intelligence
Robust Q-Learning for finite ambiguity sets
Almost Exact Risk Budgeting with Return Forecasts for Portfolio Allocation
Stochastic Gradient Descent applied to Least Squares regularizes in Sobolev spaces
MCGNet: Partial Multi-view Few-shot Learning via Meta-alignment and Context Gated-aggregation
Alienation in Italian cities. Social network fragmentation from collective data
Nonlinear Modeling of a PEM Fuel Cell System; a Practical Study with Experimental Validation
Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation
On the effectiveness of virtualization-based security
Deep Learning using Rectified Linear Units (ReLU)
An Asymptotic Cost Model for Autoscheduling Sparse Tensor Programs
Identification of Hypokinetic Dysarthria Using Acoustic Analysis of Poem Recitation
Discriminative classification with generative features: bridging Naive Bayes and logistic regression
VTutor: An Open-Source SDK for Generative AI-Powered Animated Pedagogical Agents with Multi-Media Output
NaturalTurn: A Method to Segment Transcripts into Naturalistic Conversational Turns
ReLU Neural Networks Learn the Simplest Models: Neural Isometry and Exact Recovery
Heron-Bench: A Benchmark for Evaluating Vision Language Models in Japanese
AnimeGamer: Infinite Anime Life Simulation with Next Game State Prediction
Flow-based Conformal Prediction for Multi-dimensional Time Series
Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference
In-Context Learning in Large Language Models Learns Label Relationships but Is Not Conventional Learning
Control and Dynamic Motion Planning for a Hybrid Air-Underwater Quadrotor: Minimizing Energy Use in a Flooded Cave Environment
Exemplars can Reciprocate Principal Components
Thesis Report: Resource Utilization Provisioning in MapReduce
Modeling Interactive Narrative Systems: A Formal Approach
Updating Industrial Robots for Emerging Technologies
What is in a Text-to-Image Prompt: The Potential of Stable Diffusion in Visual Arts Education
Wibson: A Decentralized Data Marketplace
Optimization of Transformer heart disease prediction model based on particle swarm optimization algorithm
Extracting Hidden Groups and their Structure from Streaming Interaction Data
Online Circle and Sphere Packing
Use of Graph Neural Networks in Aiding Defensive Cyber Operations
Wasserstein Flow Matching: Generative modeling over families of distributions
Lower bounds on Information Divergence
Generating Functionally Equivalent Programs Having Non-Isomorphic Control-Flow Graphs
The Dream Within Huang Long Cave: AI-Driven Interactive Narrative for Family Storytelling and Emotional Reflection
From Well Structured Transition Systems to Program Verification
Understanding the AI-powered Binary Code Similarity Detection
Algorithmic computation of polynomial amoebas
Towards Autonomous Supply Chains: Definition, Characteristics, Conceptual Framework, and Autonomy Levels
Who is Responsible When AI Fails? Mapping Causes, Entities, and Consequences of AI Privacy and Ethical Incidents
Criticality and Utility-aware Fog Computing System for Remote Health Monitoring
Graph Neural Networks and 3-Dimensional Topology
A Note on Multiple-Processor Multitask Scheduling
Ladder Up, Memory Down: Low-Cost Fine-Tuning With Side Nets
COOLL: Controlled On/Off Loads Library, a Public Dataset of High-Sampled Electrical Signals for Appliance Identification
Comparative work for the source identification in parabolic inverse problem based on Taylor and Chebyshev wavelet methods
EEGDM: EEG Representation Learning via Generative Diffusion Model
Genetic Theory for Cubic Graphs
Sources of Complexity in Semantic Frame Parsing for Information Extraction
A Novel Scheme for Intelligent Recognition of Pornographic Images
UDEEP: Edge-based Computer Vision for In-Situ Underwater Crayfish and Plastic Detection
The Mutual information of LDGM codes
Flow-Based Path Planning for Multiple Homogenous UAVs for Outdoor Formation-Flying
Distributed Searching of Partial Grids
AutoBaxBuilder: Bootstrapping Code Security Benchmarking
A Knowledge Engineering Primer
Exploring celebrity influence on public attitude towards the COVID-19 pandemic: social media shared sentiment analysis
Knowledge management by wikis
Learning the Pseudoinverse Solution to Network Weights
Towards a Probabilistic Fusion Approach for Robust Battery Prognostics
SAVERS: SAR ATR with Verification Support Based on Convolutional Neural Network
Large-scale digital phenotyping: identifying depression and anxiety indicators in a general UK population with over 10,000 participants
User-Guided Force-Directed Graph Layout
Online gradient-based mixtures for transfer modulation in meta-learning
On the Shortest Lattice Vector vs. the Shortest Basis
Decoupled Low-light Image Enhancement
Online Identification of Time-Varying Systems Using Excitation Sets and Change Point Detection
Spatio-Temporal Hybrid Fusion of CAE and SWIn Transformers for Lung Cancer Malignancy Prediction
Leveraging Auxiliary Text for Deep Recognition of Unseen Visual Relationships
Quantum Communication: From Fundamentals to Recent Trends, Challenges and Open Problems
On the Design of Efficient CSMA Algorithms for Wireless Networks
Small Language Models for Efficient Agentic Tool Calling: Outperforming Large Models with Targeted Fine-tuning
Probabilistic Inference on Noisy Time Series (PINTS)
Control Under Action-Dependent Markov Packet Drops: An Event-Triggered Approach
I-AID: Identifying Actionable Information from Disaster-related Tweets
Splitting numerical integration for matrix completion
On low-dimensional approximation of function spaces of interior regularity
QCNeXt: A Next-Generation Framework For Joint Multi-Agent Trajectory Prediction
Approximation of Discs by Octagons on Pixel-Plane via Jaccards Proximity Criterion: Theoretical Approach and Experimental Results Analysis
Invalidator: Automated Patch Correctness Assessment via Semantic and Syntactic Reasoning