yusuke1997/dblp-id-title huggingface dataset:
Congestion Avoidance in Computer Networks with a Connectionless Network Layer, Part I: Concepts, Goals and Methodology
Scalable Nonlinear DeePC: Bridging Direct and Indirect Methods and Basis Reduction
Personalization of Code Readability Evaluation Based on LLM Using Collaborative Filtering
Communication-Efficient (Weighted) Reservoir Sampling
A Continuous Liveness Detection System for Text-independent Speaker Verification
ICE-Bench: A Unified and Comprehensive Benchmark for Image Creating and Editing
Semi-supervised Learning for Few-shot Image-to-Image Translation
Joint Channel Estimation and Cooperative Localization for Near-Field Ultra-Massive MIMO
Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning
Benchmarking Resilience and Sensitivity of Polyurethane-Based Vision-Based Tactile Sensors
Artificial Interrogation for Attributing Language Models
IoT-KEEPER: Securing IoT Communications in Edge Networks
Implicit geometric regularization in flow matching via density weighted Stein operators
EEGAgent: A Unified Framework for Automated EEG Analysis Using Large Language Models
The calculation of a normal force between multiparticle contacts using fractional operators
BagPipe: Accelerating Deep Recommendation Model Training
A Survey of Recent Machine Learning Solutions for Ship Collision Avoidance and Mission Planning
Domain-Enhanced Dual-Branch Model for Efficient and Interpretable Accident Anticipation
Dependency-Aware Software Requirements Selection using Fuzzy Graphs and Integer Programming
Numerical Solution of Fuzzy Stochastic Differential Equation
Machine-to-Machine (M2M) Communications in Virtualized Cellular Networks with MEC
Designing Interactions with Furniture: Towards Multi-Sensorial Interaction Design Processes for Interactive Furniture
Through-the-Wall Radar Human Activity Micro-Doppler Signature Representation Method Based on Joint Boulic-Sinusoidal Pendulum Model
Control of a Lightweight Flexible Robotic Arm Using Sliding Modes
Diffusion Signals Reveal Hidden Connections: A Physics-Inspired Framework for Link Prediction via Personalized PageRank Signals
The Mesh of Civilizations and International Email Flows
Misassembly Detection using Paired-End Sequence Reads and Optical Mapping Data
Is Segment Anything Model 2 All You Need for Surgery Video Segmentation? A Systematic Evaluation
Matthews Correlation Coefficient Loss for Deep Convolutional Networks: Application to Skin Lesion Segmentation
A Survey of Limitations and Enhancements of the IPv6 Routing Protocol for Low-power and Lossy Networks: A Focus on Core Operations
HOLE: Homological Observation of Latent Embeddings for Neural Network Interpretability
Stochastic Modeling Approaches for Analyzing Blockchain: A Survey
Efficient Query Rewrite for Structured Web Queries
The Framework For The Discipline Of Software Engineering in Connection to Information Technology Discipline
Context Matters! Relaxing Goals with LLMs for Feasible 3D Scene Planning
Graph signal interpolation with Positive Definite Graph Basis Functions
Evaluation of a Multi-Resolution Dyadic Wavelet Transform Method for usable Speech Detection
Flexible Channel Dimensions for Differentiable Architecture Search
Do Electric Vehicles Induce More Motion Sickness Than Fuel Vehicles? A Survey Study in China
Cut-off Theorems for the PV-model
Consideration on Example 2 of "An Algorithm of General Fuzzy InferenceWith The Reductive Property"
Multilayer stochastic block models reveal the multilayer structure of complex networks
Knowledge Transfer for Melanoma Screening with Deep Learning
Boosting Tool Use of Large Language Models via Iterative Reinforced Fine-Tuning
Creating A Model HTTP Server Program Using java
GritNet 2: Real-Time Student Performance Prediction with Domain Adaptation
Federated ADMM from Bayesian Duality
Advancements and Trends in Ultra-High-Resolution Image Processing: An Overview
The evolving ecosystem of COVID-19 contact tracing applications
On the Second Kahn-Kalai Conjecture
A Modular AIoT Framework for Low-Latency Real-Time Robotic Teleoperation in Smart Cities
BanMANI: A Dataset to Identify Manipulated Social Media News in Bangla
A Variational Perturbative Approach to Planning in Graph-based Markov Decision Processes
Gaussian Process Regression in Logarithmic Time
Semi-Supervised Model Training for Unbounded Conversational Speech Recognition
Bidirectional RNN-based Few-shot Training for Detecting Multi-stage Attack
Overall Behavioural Index (OBI) For Measuring Segregation
On Congestion Control for Distributed Ledgers in Adversarial IoT Networks
Bitwise Operations of Cellular Automaton on Gray-scale Images
Shared memories driven by the intrinsic memorability of items
Diversified Ensemble of Independent Sub-Networks for Robust Self-Supervised Representation Learning
Multi-Arm Bin-Picking in Real-Time: A Combined Task and Motion Planning Approach
Kolmogorov complexity as a combinatorial tool
The injectivity of the global function of a cellular automaton in the hyperbolic plane is undecidable
Why my photos look sideways or upside down? Detecting Canonical Orientation of Images using Convolutional Neural Networks
Uncertainty estimation for time series forecasting via Gaussian process regression surrogates
SUnAA: Sparse Unmixing using Archetypal Analysis
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning
Information theory for model reduction in stochastic dynamical systems
Protective Self-Adaptive Pruning to Better Compress DNNs
AdapTrack: Constrained Decoding without Distorting LLM's Output Intent
PaSE: Prototype-aligned Calibration and Shapley-based Equilibrium for Multimodal Sentiment Analysis
Reimagining Dance: Real-time Music Co-creation between Dancers and AI
New Optimal Binary Sequences with Period $4p$ via Interleaving Ding-Helleseth-Lam Sequences
Formally-verified Security against Forgery of Remote Attestation using SSProve
Differences in structure and dynamics of networks retrieved from dark and public web forums
Online Multiclass Classification Based on Prediction Margin for Partial Feedback
Structural Embedding Projection for Contextual Large Language Model Inference
BinSym: Binary-Level Symbolic Execution using Formal Descriptions of Instruction Semantics
Compiler.next: A Search-Based Compiler to Power the AI-Native Future of Software Engineering
Patch Ranking: Efficient CLIP by Learning to Rank Local Patches
AdaSAM: Boosting Sharpness-Aware Minimization with Adaptive Learning Rate and Momentum for Training Deep Neural Networks
Towards Preserving Semantic Structure in Argumentative Multi-Agent via Abstract Interpretation
From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited
An Oscillation-free Spectral Volume Method for Hyperbolic Conservation Laws
Flip Distance to a Non-crossing Perfect Matching
Binary Classification using Pairs of Minimum Spanning Trees or N-ary Trees
Reinforcement Learning Enhanced LLMs: A Survey
StoneDetector: Conventional and versatile code clone detection for Java
Learning to Select MCP Algorithms: From Traditional ML to Dual-Channel GAT-MLP
Who Will Share My Image? Predicting the Content Diffusion Path in Online Social Networks
Stochastic Alternating Direction Method of Multipliers for Byzantine-Robust Distributed Learning
EasyPBR: A Lightweight Physically-Based Renderer
RALTPER: A Risk-Aware Local Trajectory Planner for Complex Environment with Gaussian Uncertainty
A Rational Analysis of the Speech-to-Song Illusion
AI-Driven Optimization of Hardware Overlay Configurations
Leeroo Orchestrator: Elevating LLMs Performance Through Model Integration
A prototype of a knowledge-based programming environment
Game-theoretic Resource Allocation Methods for Device-to-Device (D2D) Communication
3D Gaussian Flats: Hybrid 2D/3D Photometric Scene Reconstruction
Reward Selection with Noisy Observations
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study
Leveraging Geometrical Acoustic Simulations of Spatial Room Impulse Responses for Improved Sound Event Detection and Localization
Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML
A Two-student Learning Framework for Mixed Supervised Target Sound Detection
Simultaneous Map and Object Reconstruction
Random Extensive Form Games and its Application to Bargaining
A System for Predicting Subcellular Localization of Yeast Genome Using Neural Network
DeepJ: Graph Convolutional Transformers with Differentiable Pooling for Patient Trajectory Modeling
PPO-BR: Dual-Signal Entropy-Reward Adaptation for Trust Region Policy Optimization
Taming Tail Latency for Erasure-coded, Distributed Storage Systems
A note on the random greedy triangle-packing algorithm
Inline Citation Classification using Peripheral Context and Time-evolving Augmentation
PAC-Bayesian Domain Adaptation Bounds for Multi-view learning
Contextualization for the Organization of Text Documents Streams
Are Fast Methods Stable in Adversarially Robust Transfer Learning?
SwinIA: Self-Supervised Blind-Spot Image Denoising with Zero Convolutions
Structure learning for CTBN's via penalized maximum likelihood methods
Method Study on the 3x+1 Problem
An Ensemble Boosting Model for Predicting Transfer to the Pediatric Intensive Care Unit
Function Approximation with Randomly Initialized Neural Networks for Approximate Model Reference Adaptive Control
Topic-aware Causal Intervention for Counterfactual Detection
Accelerating multigrid with streaming chiral SVD for Wilson fermions in lattice QCD
Gaussian Process Neurons Learn Stochastic Activation Functions
Counterfactual Explainable AI (XAI) Method for Deep Learning-Based Multivariate Time Series Classification
Password-Based Authentication and The Experiences of End Users
Cross-Layer Extended Persistent Timeout Policy for SCTP and DSDV
An Empirical Study of Neural Kernel Bandits
Marvin: Semantic annotation using multiple knowledge sources
A Survey of Distance-Based Vessel Trajectory Clustering: Data Pre-processing, Methodologies, Applications, and Experimental Evaluation
Graph Contrastive Learning via Spectral Graph Alignment
Offline and Online Deep Learning for Image Recognition
2D-Densely Connected Convolution Neural Networks for automatic Liver and Tumor Segmentation
Semantic Guided Large Scale Factor Remote Sensing Image Super-resolution with Generative Diffusion Prior
AI Challenges in Human-Robot Cognitive Teaming
Semantic based model of Conceptual Work Products for formal verification of complex interactive systems
Time Interpret: a Unified Model Interpretability Library for Time Series
Synthesizing Fine-Grained Synchronization Protocols for Implicit Monitors (Extended Version)
Discourje: Run-Time Verification of Communication Protocols in Clojure - Live at Last (Technical Report)
A Truthful Auction for Graph Job Allocation in Vehicular Cloud-assisted Networks
MPC meets SNA: A Privacy Preserving Analysis of Distributed Sensitive Social Networks
PayOff: A Regulated Central Bank Digital Currency with Private Offline Payments
An Automated Method to Enrich Consumer Health Vocabularies Using GloVe Word Embeddings and An Auxiliary Lexical Resource
Layer-wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees
Learning to Rank with Small Set of Ground Truth Data
VQNet 2.0: A New Generation Machine Learning Framework that Unifies Classical and Quantum
MPAI: A Co-Processing Architecture with MPSoC & AI Accelerators for Vision Applications in Space
Landmark-Assisted Monte Carlo Planning
Approximate Newton-based statistical inference using only stochastic gradients
Extending Scatterplots to Scalar Fields
Technology utilization patterns and business growth in Small/Medium Enterprises
Cervical Cancer Detection Using Multi-Branch Deep Learning Model
Anomalous Sound Detection using Spectral-Temporal Information Fusion
CCTCOVID: COVID-19 Detection from Chest X-Ray Images Using Compact Convolutional Transformers
Occupancy Map Building through Bayesian Exploration
Fungal photosensors
HoloPart: Generative 3D Part Amodal Segmentation
Privacy-Preserving Wavelet Neural Network with Fully Homomorphic Encryption
DisenE: Disentangling Knowledge Graph Embeddings
GPU-accelerated Matrix Cover Algorithm for Multiple Patterning Layout Decomposition
Pooling Pyramid Network for Object Detection
Geometric auxetics
A tradeoff between universality of equivariant models and learnability of symmetries
Riemannian Consistency Model
Randomized Kaczmarz with geometrically smoothed momentum
Group Probability Decoding of Turbo Product Codes over Higher-Order Fields
Optimal transport unlocks end-to-end learning for single-molecule localization
Large language models shape and are shaped by society: A survey of arXiv publication patterns
KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Few-Shot NLP
Optimizing Wirelessly Powered Crowd Sensing: Trading energy for data
Cloud Empowered Self-Managing WSNs
CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting
Trustworthy GNNs with LLMs: A Systematic Review and Taxonomy
The Developer Experience of LGBTQIA+ People in Agile Teams: a Multivocal Literature Review
Investigation of A Collective Decision Making System of Different Neighbourhood-Size Based on Hyper-Geometric Distribution
Making Sense of the Evolution of a Scientific Domain: A Visual Analytic Study of the Sloan Digital Sky Survey Research
It is not all downhill from here: Syllable Contact Law in Persian
CoRL-MPPI: Enhancing MPPI With Learnable Behaviours For Efficient And Provably-Safe Multi-Robot Collision Avoidance
A Note on Los's Theorem for Kripke-Joyal Semantics
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review
Explainable Cross-Disease Reasoning for Cardiovascular Risk Assessment from LDCT
On the mixed monotonicity of polynomial functions
Conformal retrofitting via Riemannian manifolds: distilling task-specific graphs into pretrained embeddings
Geo-located Twitter as the proxy for global mobility patterns
A Survey of Embedded Software Profiling Methodologies
PAFedFV: Personalized and Asynchronous Federated Learning for Finger Vein Recognition
Self-Taught Evaluators
UNICEF Guidance on AI for Children: Application to the Design of a Social Robot For and With Autistic Children
EigenActor: Variant Body-Object Interaction Generation Evolved from Invariant Action Basis Reasoning
Adaptive questionnaires for facilitating patient data entry in clinical decision support systems: Methods and application to STOPP/START v2
CFR-p: Counterfactual Regret Minimization with Hierarchical Policy Abstraction, and its Application to Two-player Mahjong
Is Sluice Resolution really just Question Answering?
Implementation of an Innovative Bio Inspired GA and PSO Algorithm for Controller design considering Steam GT Dynamics
Normalization for multimodal type theory
A conservative hybrid physics-informed neural network method for Maxwell-Ampère-Nernst-Planck equations
Repeated Auctions with Learning for Spectrum Access in Cognitive Radio Networks
Optimal Update in Energy Harvesting Aided Terahertz Communications with Random Blocking
Planning behavior in a recurrent neural network that plays Sokoban
Boulder2Vec: Modeling Climber Performances in Professional Bouldering Competitions
Sciama's argument on life in a random universe: Distinguishing apples from oranges
Method to Design UF-OFDM Filter and its Analysis
Understanding Illicit Drug Use Behaviors by Mining Social Media
Multi-View Stereo with Transformer
A Fuzzy Differential Evolution Algorithm for Job Scheduling on Computational Grids
Knowledge workers collaborative learning behavior modeling in an organizational social network
An Efficient 3D Convolutional Neural Network with Channel-wise, Spatial-grouped, and Temporal Convolutions
Pheno-Robot: An Auto-Digital Modelling System for In-Situ Phenotyping in the Field
Optimizing Agent Collaboration through Heuristic Multi-Agent Planning
A Survey on Cellular-connected UAVs: Design Challenges, Enabling 5G/B5G Innovations, and Experimental Advancements
PRISM: Proof-Carrying Artifact Generation through LLM x MDE Synergy and Stratified Constraints
Measuring Semantic Information Production in Generative Diffusion Models
Image Denoising by Gaussian Patch Mixture Model and Low Rank Patches
Sea of Genes: Combining Animation and Narrative Strategies to Visualize Metagenomic Data for Museums
AGILE: Approach-based Grasp Inference Learned from Element Decomposition
TBT-Former: Learning Temporal Boundary Distributions for Action Localization
Introduzione all'Intelligenza Artificiale
Towards Wireless-Native Big AI Model: Insights into Its Ambitions, Peculiarities and Methodologies
A Fast Distributed Solver for Symmetric Diagonally Dominant Linear Equations
Xapagy: a cognitive architecture for narrative reasoning
Continuous Cartesian Genetic Programming based representation for Multi-Objective Neural Architecture Search
A Case Study on Software Vulnerability Coordination
Floor-SP: Inverse CAD for Floorplans by Sequential Room-wise Shortest Path
Listening to the Unspoken: Exploring 365 Aspects of Multimodal Interview Performance Assessment
DSAGL: Dual-Stream Attention-Guided Learning for Weakly Supervised Whole Slide Image Classification
Implicit Resolution
Neural Dependency Coding inspired Multimodal Fusion
Principle of development
Aligning with Heterogeneous Preferences for Kidney Exchange
'Say EM' for Selecting Probabilistic Models for Logical Sequences
Model-based Reinforcement Learning with Multi-step Plan Value Estimation
Survey on Physical Layer Security for 5G Wireless Networks
Quantum Algorithm for Sparse Online Learning with Truncated Gradient Descent
Making Early Predictions of the Accuracy of Machine Learning Applications
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Object-Oriented Programming
SuperCon: Supervised Contrastive Learning for Imbalanced Skin Lesion Classification
ArmanEmo: A Persian Dataset for Text-based Emotion Detection
Community-based Layerwise Distributed Training of Graph Convolutional Networks
Rate-Splitting with Hybrid Messages: DoF Analysis of the Two-User MIMO Broadcast Channel with Imperfect CSIT
CADE: Continual Weakly-supervised Video Anomaly Detection with Ensembles
New Optimisation Methods for Machine Learning
Encapsulation for Practical Simplification Procedures
Robotic Wire Arc Additive Manufacturing with Variable Height Layers
Emotionally Intelligent Task-oriented Dialogue Systems: Architecture, Representation, and Optimisation
Teaching a neural network with non-tunable exciton-polariton nodes
Convergence of Heterogeneous Learning Dynamics in Zero-sum Stochastic Games
Efficient Greedy Algorithms for Feature Selection in Robot Visual Localization
An intent-based approach for creating assistive robots' control systems
Model of spatial competition on discrete markets
Whither the Priors for (Vocal) Interactivity?
Fixing Data Anomalies with Prediction Based Algorithm in Wireless Sensor Networks
XQuery Join Graph Isolation
Eclectic Rule Extraction for Explainability of Deep Neural Network based Intrusion Detection Systems
Vector Representations of Idioms in Conversational Systems
TrappeD: DRAM Trojan Designs for Information Leakage and Fault Injection Attacks
Binary Constrained Deep Hashing Network for Image Retrieval without Human Intervention
Source Coding with Mismatched Distortion Measures
Hidden Polynomial(s) Cryptosystems
Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning
Artificial Intelligence for the Public Sector: Opportunities and challenges of cross-sector collaboration
Optimal MPPT Control of a Photovoltaic System Under Non-uniform Irradiation
Numerical Study of a Strongly Coupled Two-scale System with Nonlinear Dispersion
Scaling CrossQ with Weight Normalization
Distributed Quantum Circuit Cutting for Hybrid Quantum-Classical High-Performance Computing
Onchain Sports Betting using UBET Automated Market Maker
Reasoning Graph Networks for Kinship Verification: from Star-shaped to Hierarchical
CodeMirage: A Multi-Lingual Benchmark for Detecting AI-Generated and Paraphrased Source Code from Production-Level LLMs
Revisiting Evolutionary Algorithms with On-the-Fly Population Size Adjustment
Adaptive Graph Spatial-Temporal Transformer Network for Traffic Flow Forecasting
Anomaly Detection by Effectively Leveraging Synthetic Images
Detection of Face using Viola Jones and Recognition using Back Propagation Neural Network
Unraveling the Rainbow: can value-based methods schedule?
Learning robust marking policies for adaptive mesh refinement
Covid-19 Spread Detection and Controlling with Fog-based Infection Probability Evaluation Model
Approaching adverse event detection utilizing transformers on clinical time-series
From semantics to execution: Integrating action planning with reinforcement learning for robotic tool use
Mining Q&A Platforms for Empirical Evidence on Quantum Software Programming
Development of an Ideal Observer that Incorporates Nuisance Parameters and Processes List-Mode Data
Pebble-Intervals Automata and FO2 with Two Orders (Extended Version)
WeedScout: Real-Time Autonomous blackgrass Classification and Mapping using dedicated hardware
Weakly-Supervised Arbitrary-Shaped Text Detection with Expectation-Maximization Algorithm
Zero-Shot Coordination in Ad Hoc Teams with Generalized Policy Improvement and Difference Rewards
Geometric involutive bases for positive dimensional polynomial ideals and SDP methods
Learning About Structural Errors in Models of Complex Dynamical Systems
2FE: Two-Factor Encryption for Cloud Storage
A reference architecture for integrating the Industrial Internet of Things in the Industry 4.0
TimesNet-Gen: Deep Learning-based Site Specific Strong Motion Generation
Adaptive Co-weighting Deep Convolutional Features For Object Retrieval
Ensure Differential Privacy and Convergence Accuracy in Consensus Tracking and Aggregative Games with Coupling Constraints
A Survey on Hardware Implementations of Visual Object Trackers
Towards maintainer script modernization in FOSS distributions
Topology optimization of wind farm layouts
Development of An Assessment Benchmark for Synchronous Online Learning for Nigerian Universities
Probabilistic refinement of the asymptotic spectrum of graphs
SocraSynth: Multi-LLM Reasoning with Conditional Statistics
Automatic extraction of cause-effect-relations from requirements artifacts
Background Noise Reduction of Attention Map for Weakly Supervised Semantic Segmentation
Diagnosing Heterogeneous Dynamics for CT Scan Images of Human Brain in Wavelet and MFDFA domain
Multi-Fidelity Bayesian Optimization for Nash Equilibria with Black-Box Utilities
Policy-Induced Self-Supervision Improves Representation Finetuning in Visual RL
Sustainability-Aware Cloud Computing Using Virtual Carbon Tax
BFEMP: Interpenetration-Free MPM-FEM Coupling with Barrier Contact
Neural networks: solving the chemistry of the interstellar medium
Megapixel Image Generation with Step-Unrolled Denoising Autoencoders
CORGI: GNNs with Convolutional Residual Global Interactions for Lagrangian Simulation
DF-SLAM: Neural Feature Rendering Based on Dictionary Factors Representation for High-Fidelity Dense Visual SLAM System
Approximation Algorithms for Link Scheduling with Physical Interference Model in Wireless Multi-hop Networks
Semantic Information Retrieval Using Ontology In University Domain
Large scale lattice Boltzmann simulation for the coupling of free and porous media flow
AutoStudio: Crafting Consistent Subjects in Multi-turn Interactive Image Generation
Approximation, characterization, and continuity of multivariate monotonic regression functions
Rank-Deficient Solutions for Optimal Signaling over Wiretap MIMO Channels
Denoising OCT Images Using Steered Mixture of Experts with Multi-Model Inference
NeRFlame: FLAME-based conditioning of NeRF for 3D face rendering
Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection
Percolation on correlated random networks
The pop song generator: designing an online course to teach collaborative, creative AI
Discipline Reputation Evaluation Based on PhD Exchange Network
Property Graph Type System and Data Definition Language
Numerical Solution for an Inverse Variational Problem