yusuke1997/dblp-id-title huggingface dataset:
Learning beyond datasets: Knowledge Graph Augmented Neural Networks for Natural language Processing
KRB-CCN: Lightweight Authentication & Access Control for Private Content-Centric Networks
Where Paths Collide: A Comprehensive Survey of Classic and Learning-Based Multi-Agent Pathfinding
A Hybrid Approach to Web Service Recommendation Based on QoS-Aware Rating and Ranking
Weak Error Estimates of Ergodic Approximations for Monotone Jump-diffusion SODEs
Multiple layer Phase Shift Linear Space-time Block Code for High-speed Visible Light Communications
Hierarchical Temperature Imaging Using Pseudo-Inversed Convolutional Neural Network Aided TDLAS Tomography
Blending Bayesian and frequentist
BAMAS: Structuring Budget-Aware Multi-Agent Systems
A hybrid model for bankruptcy prediction using genetic algorithm, fuzzy c-means and mars
Variables effecting photomosaic reconstruction and ortho-rectification from aerial survey datasets
Stable Gradient Flow Discretizations for Simulating Bilayer Plate Bending with Isometry and Obstacle Constraints
Music Mood Detection Based On Audio And Lyrics With Deep Neural Net
An Efficient Algorithm for Non-Negative Matrix Factorization with Random Projections
Review: Metaheuristic Search-Based Fuzzy Clustering Algorithms
Partition Information and its Transmission over Boolean Multi-Access Channels
Shared Control Based on Extended Lipschitz Analysis With Application to Human-Superlimb Collaboration
TheaterQ: A Qdisc for Dynamic Network Emulation
From ChatGPT to DeepSeek AI: A Comprehensive Analysis of Evolution, Deviation, and Future Implications in AI-Language Models
Triangle packing in (sparse) tournaments: approximation and kernelization
Increasing Behavioral Complexity for Evolved Virtual Creatures with the ESP Method
Deep Reinforcement Learning from Self-Play in Imperfect-Information Games
FlashDecoding++: Faster Large Language Model Inference on GPUs
Deep Fisher Discriminant Learning for Mobile Hand Gesture Recognition
Constructing and Analyzing Different Density Graphs for Path Extrapolation in Wikipedia
EFPI: Elastic Formation and Position Identification in Football (Soccer) using Template Matching and Linear Assignment
Measuring the Predictability of Recommender Systems using Structural Complexity Metrics
KITTI-CARLA: a KITTI-like dataset generated by CARLA Simulator
Circllhist - A Log-Linear Histogram Data Structure for IT Infrastructure Monitoring
Rewriting History: A Recipe for Interventional Analyses to Study Data Effects on Model Behavior
Towards an Architecture-centric Methodology for Migrating to Microservices
Understanding Adversarial Examples Through Deep Neural Network's Response Surface and Uncertainty Regions
Artwork creation by a cognitive architecture integrating computational creativity and dual process approaches
An overlapping domain decomposition method for parametric Stokes and Stokes-Darcy problems via proper generalized decomposition
Model Checking Data Flows in Concurrent Network Updates (Full Version)
Large Language Models are Advanced Anonymizers
Analyizing the Conjunction Fallacy as a Fact
RepoMaster: Autonomous Exploration and Understanding of GitHub Repositories for Complex Task Solving
Real-Time Fault Detection and Process Control Based on Multi-channel Sensor Data Fusion
DGCformer: Deep Graph Clustering Transformer for Multivariate Time Series Forecasting
Multilingual Contextualization of Large Language Models for Document-Level Machine Translation
Design and Implementation of a Peer-to-Peer Communication, Modular and Decentral YellowCube UUV
Membership in moment polytopes is in NP and coNP
A multi-component framework for the analysis and design of explainable artificial intelligence
Fully Automatic Video Colorization with Self-Regularization and Diversity
The New TPTP Format for Interpretations
Higher-Order Error estimates for physics-informed neural networks approximating the primitive equations
Background Hardly Matters: Understanding Personality Attribution in Deep Residual Networks
Minimax Optimal Submodular Optimization with Bandit Feedback
Automatic Segmentation of Gross Target Volume of Nasopharynx Cancer using Ensemble of Multiscale Deep Neural Networks with Spatial Attention
Prediction of Depression Severity Based on the Prosodic and Semantic Features with Bidirectional LSTM and Time Distributed CNN
Physics-Constrained Generative Adversarial Networks for 3D Turbulence
Report on "Mathematical Aspects of P vs. NP and its Variants."
Solver-based Gradual Type Migration
From Trust to Truth: Actionable policies for the use of AI in fact-checking in Germany and Ukraine
Comparing Sample-wise Learnability Across Deep Neural Network Models
Beyond Impossibility: Balancing Sufficiency, Separation and Accuracy
IndustryEQA: Pushing the Frontiers of Embodied Question Answering in Industrial Scenarios
ReLU Networks as Random Functions: Their Distribution in Probability Space
Multi-Object Tracking and Segmentation via Neural Message Passing
Dual input stream transformer for eye-tracking line assignment
Secure Federated Transfer Learning
Augmenting data-driven models for energy systems through feature engineering: A Python framework for feature engineering
FPGA Based Efficient Multiplier for Image Processing Applications Using Recursive Error Free Mitchell Log Multiplier and KOM Architecture
BBQ: A Hand-Built Bias Benchmark for Question Answering
Newly Formed Cities: an AI Curation
A local constant factor approximation for the minimum dominating set problem on bounded genus graphs
Locally Adaptive Label Smoothing for Predictive Churn
Dimensions: A Competitor to Scopus and the Web of Science?
Bi-Manual Joint Camera Calibration and Scene Representation
Can Code-Switched Texts Activate a Knowledge Switch in LLMs? A Case Study on English-Korean Code-Switching
Fine-Grained Complexity and Conditional Hardness for Sparse Graphs
Cogradient Descent for Dependable Learning
Prioritized offline Goal-swapping Experience Replay
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning
Phenome-Wide Multi-Omics Integration Uncovers Distinct Archetypes of Human Aging
Optimized on-line computation of PageRank algorithm
Understanding Phase Transitions via Mutual Information and MMSE
Temperature-Dependent Modeling of Thermoelectric Elements
Simply Typed Lambda-Calculus Modulo Type Isomorphisms
Neural-network preconditioners for solving the Dirac equation in lattice gauge theory
Verity: Blockchains to Detect Insider Attacks in DBMS
An improved quantum algorithm for low-rank rigid linear regressions with vector solution outputs
The Devil is in the Details: Self-Supervised Attention for Vehicle Re-Identification
CP4SBI: Local Conformal Calibration of Credible Sets in Simulation-Based Inference
An Algorithm for Computing with Brauer's Group Equivariant Neural Network Layers
Modeling and Evaluating Performance of Routing Operations in Reactive Routing Protocols
Weakly Supervised Person Re-identification: Cost-effective Learning with A New Benchmark
Discovering Symmetry Invariants and Conserved Quantities by Interpreting Siamese Neural Networks
Explaining Model Overfitting in CNNs via GMM Clustering
FinEmbedDiff: A Cost-Effective Approach of Classifying Financial Documents with Vector Sampling using Multi-modal Embedding Models
Numerical computation of the Schwarz function
Subsampled Fourier Ptychography using Pretrained Invertible and Untrained Network Priors
AlphaZero Based Post-Storm Vehicle Routing for Distribution Grid Restoration
Multi-agent Continual Coordination via Progressive Task Contextualization
Positioning for Visible Light Communication System Exploiting Multipath Reflections
What Is the Trait d'Union between Retroactivity and Molecular Communication Performance Limits?
GATE OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generation
Explainability in Deep Reinforcement Learning, a Review into Current Methods and Applications
Why Having 10, 000 Parameters in Your Camera Model is Better Than Twelve
Visual gesture variability between talkers in continuous visual speech
DroneAudioset: An Audio Dataset for Drone-based Search and Rescue
IDF revisited: A simple new derivation within the Robertson-Spärck Jones probabilistic model
Joint denoising and distortion correction of atomic scale scanning transmission electron microscopy images
Follow Nudges without Budges: A Field Experiment on Misinformation Followers Didn't Change Follow Networks
Distributed Secret Sharing over a Public Channel from Correlated Random Variables
GAPNet: Graph Attention based Point Neural Network for Exploiting Local Feature of Point Cloud
An Evaluation of Forensic Facial Recognition
Understanding and Assessment of Mission-Centric Key Cyber Terrains for joint Military Operations
Jacobi-accelerated FFT-based solver for smooth high-contrast data
The Truth and Nothing but the Truth: Multimodal Analysis for Deception Detection
RNACG: A Universal RNA Sequence Conditional Generation model based on Flow-Matching
Feature Sets in Just-in-Time Defect Prediction: An Empirical Evaluation
Sub-cluster-aware Network for Few-shot Skin Disease Classification
An n\log n Lower Bound for Fourier Transform Computation in the Well Conditioned Model
Pecan: An Automated Theorem Prover for Automatic Sequences using Büchi Automata
Disentangling Locality and Entropy in Ranking Distillation
Efficient Condition-based Representations for Long-Term Visual Localization
Template-Based Text-to-Image Alignment for Language Accessibility: A Study on Visualizing Text Simplifications
A fast patch-dictionary method for whole image recovery
Machine Teaching for Building Modular AI Agents based on Zero-shot Learners
Generation of Realistic Cloud Access Times for Mobile Application Testing using Transfer Learning
A Basis for Human Responsibility in Artificial Intelligence Computation
DepthLab: From Partial to Complete
ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling
Assigning channels via the meet-in-the-middle approach
Messy Code Makes Managing ML Pipelines Difficult? Just Let LLMs Rewrite the Code!
Detecting and Understanding Generalization Barriers for Neural Machine Translation
Optimal Kron-based Reduction of Networks (Opti-KRON) for Three-phase Distribution Feeders
Asymptotical Cooperative Cruise Fault Tolerant Control for Multiple High-speed Trains with State Constraints
Data-driven computation methods for quasi-stationary distribution and sensitivity analysis
SigScatNet: A Siamese + Scattering based Deep Learning Approach for Signature Forgery Detection and Similarity Assessment
Translating Recursive Probabilistic Programs to Factor Graph Grammars
The Judge Variable: Challenging Judge-Agnostic Legal Judgment Prediction
TFPaaS : Test-first Performance as a Service to Cloud for Software Testing Environment
Electronic Communication Data Link Encryption Simulation Based on Wireless Communication
Flexible Semantic-Aware Resource Allocation: Serving More Users Through Similarity Range Constraints
CaesarNeRF: Calibrated Semantic Representation for Few-shot Generalizable Neural Rendering
The Impact of Artificial Intelligence on Emergency Medicine: A Review of Recent Advances
Synthesized Annotation Guidelines are Knowledge-Lite Boosters for Clinical Information Extraction
Towards Noise-Robust Neural Networks via Progressive Adversarial Training
Self Training and Ensembling Frequency Dependent Networks with Coarse Prediction Pooling and Sound Event Bounding Boxes
WorldSplat: Gaussian-Centric Feed-Forward 4D Scene Generation for Autonomous Driving
Getting Close Without Touching: Near-Gathering for Autonomous Mobile Robots
The Wisdom of MaSSeS: Majority, Subjectivity, and Semantic Similarity in the Evaluation of VQA
Causal Reinforcement Learning using Observational and Interventional Data
Age of Information Analysis for NOMA-Assisted Grant-Free Transmissions with Randomly Arrived Packets
Retroactive Parametrized Monitoring
Capacity Enhancement with Meta-Multiplexing
A Counter-Example Guided Framework for Robust Synthesis of Switched Systems Using Control Certificates
Chest X-ray Image Phase Features for Improved Diagnosis of COVID-19 Using Convolutional Neural Network
Location and allocation problem of high-speed train maintenance bases
Supervisor Obfuscation Against Covert Actuator Attackers
SparseVILA: Decoupling Visual Sparsity for Efficient VLM Inference
DecMetrics: Structured Claim Decomposition Scoring for Factually Consistent LLM Outputs
FLAME: Adaptive and Reactive Concept Drift Mitigation for Federated Learning Deployments
Design and implementation of an Android application to anonymously analyse locations of the citizens in Barcelona
Cross Domain Few-Shot Learning via Meta Adversarial Training
Fine-tuning Pretrained Language Models with Label Attention for Explainable Biomedical Text Classification
Deep Convolutional Neural Networks in the Face of Caricature: Identity and Image Revealed
Typical Decoding for Natural Language Generation
Speech Enhancement Modeling Towards Robust Speech Recognition System
A Task-Interdependency Model of Complex Collaboration Towards Human-Centered Crowd Work
An FTP Algorithm for Temporal Graph Untangling
Unifying Invariant and Variant Features for Graph Out-of-Distribution via Probability of Necessity and Sufficiency
A study on the Lombard Effect in telepresence robotics
FENXI: Deep-learning Traffic Analytics at the Edge
Finding an ordinary conic and an ordinary hyperplane
Controller Synthesis for Robust Invariance of Polynomial Dynamical Systems using Linear Programming
ADI iteration for Lyapunov equations: a tangential approach and adaptive shift selection
Computing backwards with Game of Life, part 1: wires and circuits
Escaping the Sample Trap: Fast and Accurate Epistemic Uncertainty Estimation with Pairwise-Distance Estimators
Egyptian multiplication and some of its ramifications
Rethinking Nonlinearity: Trainable Gaussian Mixture Modules for Modern Neural Architectures
Mind the Gap! Pathways Towards Unifying AI Safety and Ethics Research
Lightweight Convolutional Neural Networks for Retinal Disease Classification
ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Process
A Transformation-based Implementation for CLP with Qualification and Proximity
Global-focal Adaptation with Information Separation for Noise-robust Transfer Fault Diagnosis
Machine learning for triage of strokes with large vessel occlusion using photoplethysmography biomarkers
Docking-based generative approaches in the search for new drug candidates
Detection and Mapping of Specular Surfaces Using Multibounce Lidar Returns
FinLMM-R1: Enhancing Financial Reasoning in LMM through Scalable Data and Reward Design
Homomorphic Parameter Compression for Distributed Deep Learning Training
CAMPHOR: Collaborative Agents for Multi-input Planning and High-Order Reasoning On Device
Deep Learning for Time Series Forecasting: The Electric Load Case
TROLLMAGNIFIER: Detecting State-Sponsored Troll Accounts on Reddit
Textual analysis of End User License Agreement for red-flagging potentially malicious software
On the Design of Serially Concatenated LDGM Codes for BIAWGN Channels
RFR-WWANet: Weighted Window Attention-Based Recovery Feature Resolution Network for Unsupervised Image Registration
Dynamic Data Augmentation via MCTS for Prostate MRI Segmentation
AMR quality rating with a lightweight CNN
Defeating duplicates: A re-design of the LearnedSort algorithm
Generalized Temporal Tensor Decomposition with Rank-revealing Latent-ODE
Heterogeneity-Aware Client Sampling: A Unified Solution for Consistent Federated Learning
SympGNNs: Symplectic Graph Neural Networks for identifiying high-dimensional Hamiltonian systems and node classification
Domain Adaptation via Feature Refinement
View-Invariant Recognition of Action Style Self-Dissimilarity
MM-Conv: A Multi-modal Conversational Dataset for Virtual Humans
Strong stationary times and its use in cryptography
MESAHA-Net: Multi-Encoders based Self-Adaptive Hard Attention Network with Maximum Intensity Projections for Lung Nodule Segmentation in CT Scan
GraphProp: Training the Graph Foundation Models using Graph Properties
Energy-Guided Diffusion Model for CBCT-to-CT Synthesis
Assessing the Exposure of Software Changes: The DiPiDi Approach
Parameterized crack modelling based on a localized non-intrusive reduced basis method
Curriculum Learning-Driven PIELMs for Fluid Flow Simulations
Think before Recommendation: Autonomous Reasoning-enhanced Recommender
Explainable CNN-attention Networks (C-Attention Network) for Automated Detection of Alzheimer's Disease
A Multi-Model Probabilistic Framework for Seismic Risk Assessment and Retrofit Planning of Electric Power Networks
BirdNet: a 3D Object Detection Framework from LiDAR information
Real Robot Challenge 2021: Cartesian Position Control with Triangle Grasp and Trajectory Interpolation
Model Generalization: A Sharpness Aware Optimization Perspective
Modelling Patient Trajectories Using Multimodal Information
VirtualIdentity: Privacy-Preserving User Profiling
Atomicity and Abstraction for Cross-Blockchain Interactions
Ground-roll Separation From Land Seismic Records Based on Convolutional Neural Network
A Trust Management Scheme for IoT-Enabled Environmental Health/Accessibility Monitoring Services
Autocalibration and Tweedie-dominance for Insurance Pricing with Machine Learning
Explore-Construct-Filter: An Automated Framework for Rich and Reliable API Knowledge Graph Construction
Automated Identification of Cell Populations in Flow Cytometry Data with Transformers
Asymptotic analysis of sum-rate under SIC
What Is Working Memory and Mental Imagery? A Robot that Learns to Perform Mental Computations
Streaming Active Deep Forest for Evolving Data Stream Classification
Collaborative Bibliographic System for Review/Survey Articles
Generating Mathematical Derivations with Large Language Models
Understanding Generalization in Adversarial Training via the Bias-Variance Decomposition
PD 3 : A Project Duplication Detection Framework via Adapted Multi-Agent Debate
Advanced Deep Learning Methods for Protein Structure Prediction and Design
Hybrid Approach for Enhancing Lesion Segmentation in Fundus Images
MobileCity: An Efficient Framework for Large-Scale Urban Behavior Simulation
Graph-Based Generalization of Galam Model: Convergence Time and Influential Nodes
Streaming Tensor Program: A streaming abstraction for dynamic parallelism
FAST-PPR: Scaling Personalized PageRank Estimation for Large Graphs
A Local Geometric Interpretation of Feature Extraction in Deep Feedforward Neural Networks
Multiscale Laplacian Learning
Multilayer hypergraph clustering using the aggregate similarity matrix
One-shot Generative Prior Learned from Hankel-k-space for Parallel Imaging Reconstruction
Explaining models relating objects and privacy
Privacy Policies Across the Ages: Content and Readability of Privacy Policies 1996-2021
Towards Human-centered Explainable AI: User Studies for Model Explanations
Interval minors of complete bipartite graphs
Toward Neurodivergent-Aware Productivity: A Systems and AI-Based Human-in-the-Loop Framework for ADHD-Affected Professionals
Optimization of population annealing Monte Carlo for large-scale spin-glass simulations
Power-law relations in random networks with communities
Inexact Primal-Dual Gradient Projection Methods for Nonlinear Optimization on Convex Set
Assessing Workers Neuro-physiological Stress Responses to Augmented Reality Safety Warnings in Immersive Virtual Roadway Work Zones
Lossy Broadcasting in Two-Way Relay Networks with Common Reconstructions
Technical Report: The effect of Input Parameters on Falsification of Cyber-Physical Systems
Social Information Processing in Social News Aggregation
EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories
Daisy cubes: a characterization and a generalization
Deep Ensemble for Rotorcraft Attitude Prediction
Quantification of Biodiversity from Historical Survey Text with LLM-based Best-Worst Scaling
An Algebra of Lightweight Ontologies
Simple implementation of deletion from open-address hash table
Optimizing Non-Autoregressive Transformers with Contrastive Learning
Corrupted Contextual Bandits with Action Order Constraints
Civique: Using Social Media to Detect Urban Emergencies
Peptipedia: a comprehensive database for peptide research supported by Assembled predictive models and Data Mining approaches
Ethical implications of ChatGPT in higher education: A scoping review
The k-Opt algorithm for the Traveling Salesman Problem has exponential running time for k≥5
Meta- (out-of-context) learning in neural networks
Information-theoretically Secure Key Agreement over Partially Corrupted Channels
LLaVA-Octopus: Unlocking Instruction-Driven Adaptive Projector Fusion for Video Understanding
Learning Granularity-Aware Convolutional Neural Network for Fine-Grained Visual Classification
Awareness and Adoption of AI Technologies in the Libraries of Karnataka
LlamaRec-LKG-RAG: A Single-Pass, Learnable Knowledge Graph-RAG Framework for LLM-Based Ranking
Adaptive Control Strategy for Constant Optical Flow Divergence Landing
Case-Based Merging Techniques in OAKPLAN
Task-Specific Zero-shot Quantization-Aware Training for Object Detection
Towards Byzantine-resilient Learning in Decentralized Systems
In2x at WMT25 Translation Task
Mixing time for uniform sampling of binary matrices with fixed row and column sums using the trade algorithm
Blockchain in agriculture
Efficient Metric Learning for the Analysis of Motion Data
Bounds for codes on pentagon and other cycles
Benchmarking Information Retrieval Models on Complex Retrieval Tasks
Real-Time, Single-Ear, Wearable ECG Reconstruction, R-Peak Detection, and HR/HRV Monitoring
Computing singular elements modulo squares
Modeling System Dynamics with Physics-Informed Neural Networks Based on Lagrangian Mechanics
Simulating Using Deep Learning The World Trade Forecasting of Export-Import Exchange Rate Convergence Factor During COVID-19
Exploring the Smart City Adoption Process: Evidence from the Belgian urban context
A note on the paper "Minimizing total tardiness on parallel machines with preemptions" by Kravchenko and Werner [2010]
The Unreasonable Effectiveness of Guidance for Diffusion Models
Discovery of slow variables in a class of multiscale stochastic systems via neural networks
Escaping Spurious Local Minima of Low-Rank Matrix Factorization Through Convex Lifting
AI in Mental Health: Emotional and Sentiment Analysis of Large Language Models' Responses to Depression, Anxiety, and Stress Queries
New Class of Optimal Frequency-Hopping Sequences by Polynomial Residue Class Rings
SADAN: Scalable Adversary Detection in Autonomous Networks
Simulator Ensembles for Trustworthy Autonomous Driving Testing
A Clean-graph Backdoor Attack against Graph Convolutional Networks with Poisoned Label Only
NCRAWL: Network Coding for Rate Adaptive Wireless Links
Galloping in natural merge sorts
Aligning Large Language Models to a Domain-specific Graph Database
Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition
LiLO: Lightweight and low-bias LiDAR Odometry method based on spherical range image filtering
Galileo: A Pseudospectral Collocation Framework for Legged Robots
Variance Norms for Kernelized Anomaly Detection
Strain-Minimizing Hyperbolic Network Embeddings with Landmarks
A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components
Teleportation With Null Space Gradient Projection for Optimization Acceleration
RT-VC: Real-Time Zero-Shot Voice Conversion with Speech Articulatory Coding
ConceFT: Concentration of Frequency and Time via a multitapered synchrosqueezed transform
Case-Aware Adversarial Training
Towards AC Feasibility of DCOPF Dispatch
Audiobox: Unified Audio Generation with Natural Language Prompts
Why current rain denoising models fail on CycleGAN created rain images in autonomous driving
Efficient Graph-Friendly COCO Metric Computation for Train-Time Model Evaluation
Comparing Session Type Systems derived from Linear Logic
Multi-Branch Mutual-Distillation Transformer for EEG-Based Seizure Subtype Classification
Locally temporal-spatial pattern learning with graph attention mechanism for EEG-based emotion recognition