yusuke1997/dblp-id-title huggingface dataset:
Talk Proposal: Towards the Realistic Evaluation of Evasion Attacks using CARLA
The LDBC Financial Benchmark
Deep Learning for Distant Speech Recognition
Quantum Machine Learning for UAV Swarm Intrusion Detection
TrackNet: Simultaneous Object Detection and Tracking and Its Application in Traffic Video Analysis
Gradient-free online learning of subgrid-scale dynamics with neural emulators
Analysis of Modern Computer Vision Models for Blood Cell Classification
Image-specific Convolutional Kernel Modulation for Single Image Super-resolution
Split GCN: Effective Interactive Annotation for Segmentation of Disconnected Instance
How to Test the Randomness from the Wireless Channel for Security?
Understanding COVID-19 Vaccine Reaction through Comparative Analysis on Twitter
Automated Histopathologic Assessment of Hirschsprung Disease Using a Multi-Stage Vision Transformer Framework
Cetvel: A Unified Benchmark for Evaluating Language Understanding, Generation and Cultural Capacity of LLMs for Turkish
A Mobile App for Wound Localization using Deep Learning
On the Handwriting Tasks' Analysis to Detect Fatigue
Multi-Source Hard and Soft Information Fusion Approach for Accurate Cryptocurrency Price Movement Prediction
Computation of gray-level co-occurrence matrix based on CUDA and its optimization
Utilizing Navigation Path to Generate Target Point for Enhanced End-to-End Autonomous Driving Planning
Deep Learning for Resilient Adversarial Decision Fusion in Byzantine Networks
TexGS-VolVis: Expressive Scene Editing for Volume Visualization via Textured Gaussian Splatting
Mobility-Aware Multi-Task Decentralized Federated Learning for Vehicular Networks: Modeling, Analysis, and Optimization
Wheat Head Counting by Estimating a Density Map with Convolutional Neural Networks
A Decision Calculus for Belief Functions in Valuation-Based Systems
Scaling CS1 Support with Compiler-Integrated Conversational AI
Modern hierarchical, agglomerative clustering algorithms
Multimodal image registration for effective thermographic fever screening
The Two Way Wiretap Channel: Theory and Practice
RadaRays: Real-time Simulation of Rotating FMCW Radar for Mobile Robotics via Hardware-accelerated Ray Tracing
Axial current as the origin of quantum intrinsic orbital angular momentum
On the Impossibility of Decomposing Binary Matroids
The Pervasive Blind Spot: Benchmarking VLM Inference Risks on Everyday Personal Videos
From Reasoning to Answer: Empirical, Attention-Based and Mechanistic Insights into Distilled DeepSeek R1 Models
Quantum HyperNetworks: Training Binary Neural Networks in Quantum Superposition
A Unified Framework for Probabilistic Dynamic-, Trajectory- and Vision-based Virtual Fixtures
Can LLM-Augmented autonomous agents cooperate?, An evaluation of their cooperative capabilities through Melting Pot
Deep Decomposition and Bilinear Pooling Network for Blind Night-Time Image Quality Evaluation
CodePhys: Robust Video-based Remote Physiological Measurement through Latent Codebook Querying
Learning to Manipulate under Limited Information
JNLP at SemEval-2025 Task 11: Cross-Lingual Multi-Label Emotion Detection Using Generative Models
Why Do We Need Foundations for Modelling Uncertainties?
Emotion-sensitive Explanation Model
Debiasing the Influence of Demographic and Appearance Cues in Social Engineering via Role-Taking: Negative Results
A SAT model to mine flexible sequences in transactional datasets
Contract Design for Pandora's Box
SHARP: Segmentation of Hands and Arms by Range using Pseudo-Depth for Enhanced Egocentric 3D Hand Pose Estimation and Action Recognition
Weak Semi-Markov CRFs for NP Chunking in Informal Text
Analyzing the Contextual Shortcomings of Artificial General Intelligence
Voice Conversion from Unaligned Corpora using Variational Autoencoding Wasserstein Generative Adversarial Networks
Economic and Energetic Assessment of a Hybrid Vanadium Redox Flow and Lithium-ion batteries considering different Energy Management Strategies
Amplifying Inter-message Distance: On Information Divergence Measures in Big Data
Towards Reflectivity profile inversion through Artificial Neural Networks
Observability and Decentralized Control of Fuzzy Discrete Event Systems
The open and clopen Ramsey theorems in the Weihrauch lattice
Differentiable Generalised Predictive Coding
Bayesian Neural Network Inference via Implicit Models and the Posterior Predictive Distribution
UniG3D: A Unified 3D Object Generation Dataset
Flexible Gravitational-Wave Parameter Estimation with Transformers
Reduction of a nonlinear system and its numerical solution using a fractional iterative method
Development of a Simple and Novel Digital Twin Framework for Industrial Robots in Intelligent robotics manufacturing
Online SLA Decomposition: Enabling Real-Time Adaptation to Evolving Systems
BiDense: Binarization for Dense Prediction
BMX: Boosting Machine Translation Metrics with Explainability
Reweighted Proximal Pruning for Large-Scale Language Representation
Autoregressivity in the Latent Space of a GP-VAE Language Model: An Empirical Ablation Study
On codes induced from Hadamard matrices
A level-set based finite difference method for the ground state Bose-Einstein condensates in smooth bounded domains
On the relation between size-based termination and semantic labelling
ViDoRe Benchmark V2: Raising the Bar for Visual Retrieval
Federated Learning in Open- and Closed-Loop EMG Decoding: A Privacy and Performance Perspective
SDEC: Semantic Deep Embedded Clustering
Revisiting the Plastic Surgery Hypothesis via Large Language Models
Few-shot Font Generation by Learning Style Difference and Similarity
Note on a simple type system for non-interference
On topological and geometric $(19_4)$ configurations
Concept Annotation for Intelligent Textbooks
Max-Sum Diversification, Monotone Submodular Functions and Dynamic Updates
CodeEdu: A Multi-Agent Collaborative Platform for Personalized Coding Education
A Survey of Malware Detection Using Deep Learning
M-GWAP: An Online and Multimodal Game With A Purpose in WordPress for Mental States Annotation
Augmenting differentiable physics with randomized smoothing
On-line Building Energy Optimization using Deep Reinforcement Learning
Rectangular C 1 -Q k Bell finite elements in two and three dimensions
Sparse Subnetwork Enhancement for Underrepresented Languages in Large Language Models
Exploration of reproducibility issues in scientometric research Part 1: Direct reproducibility
Comparative Analysis of Machine Learning and Deep Learning Algorithms for Detection of Online Hate Speech
Pixel-wise Gradient Uncertainty for Convolutional Neural Networks applied to Out-of-Distribution Segmentation
High Order Semi-implicit WENO Schemes for All Mach Full Euler System of Gas Dynamics
What's in People's Digital File Collections?
Curator: Efficient Indexing for Multi-Tenant Vector Databases
Deep Neural Compression Via Concurrent Pruning and Self-Distillation
The cut metric for probability distributions
Large Language Model-Driven Database for Thermoelectric Materials
Use as Many Surrogates as You Want: Selective Ensemble Attack to Unleash Transferability without Sacrificing Resource Efficiency
Tight Bounds for Inverting Permutations via Compressed Oracle Arguments
A Comparative Analysis of Lightweight Hash Functions Using AVR ATXMega128 and ChipWhisperer
Calibrated Principal Component Regression
Detailed balance in large language model-driven agents
RhythmMamba: Fast Remote Physiological Measurement with Arbitrary Length Videos
CoQuIR: A Comprehensive Benchmark for Code Quality-Aware Information Retrieval
Hybrid quantum-classical and quantum-inspired classical algorithms for solving banded circulant linear systems
Multi-agent Bayesian Learning with Adaptive Strategies: Convergence and Stability
A Time-parallel Approach to Strong-constraint Four-dimensional Variational Data Assimilation
Deep Reinforcement Learning-Based Cooperative Rate Splitting for Satellite-to-Underground Communication Networks
Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
The Multi-Symplectic Lanczos Algorithm and Its Applications to Color Image Processing
TreeDRNet: A Robust Deep Model for Long Term Time Series Forecasting
FaceStudio: Put Your Face Everywhere in Seconds
Optimizing Spreading Factor Selection for Mobile LoRa Gateways Using Single-Channel Hardware
Quasi-periodic traveling gravity-capillary waves
Application of Quantum Approximate Optimization Algorithm in Solving the Total Domination Problem
Union-net: A deep neural network model adapted to small data sets
LineCAPTCHA Mobile: A User Friendly Replacement for Unfriendly Reverse Turing Tests for Mobile Devices (ICIAfS14)
Primal-dual block-proximal splitting for a class of non-convex problems
FHBench: Towards Efficient and Personalized Federated Learning for Multimodal Healthcare
Practical ReProCS for Separating Sparse and Low-dimensional Signal Sequences from their Sum
ProcNets: Learning to Segment Procedures in Untrimmed and Unconstrained Videos
Modeling and Testing Implementations of Protocols with Complex Messages
RoadMind: Towards a Geospatial AI Expert for Disaster Response
A Generalized Online Mirror Descent with Applications to Classification and Regression
A Robust Cryptographic System using Neighborhood-Generated Keys
RCLC: ROI-based joint conventional and learning video compression
The Grow-Shrink strategy for learning Markov network structures constrained by context-specific independences
Personalizing Federated Instrument Segmentation with Visual Trait Priors in Robotic Surgery
Attend Who is Weak: Enhancing Graph Condensation via Cross-Free Adversarial Training
Machine Learning-Guided Design of Non-Reciprocal and Asymmetric Elastic Chiral Metamaterials
Error estimation for surrogate models of dynamical systems using machine learning
Deep Tensor Network
Improved detection of discarded fish species through BoxAL active learning
Reinforcement learning for online hyperparameter tuning in convex quadratic programming
Design of a Time Delay Reservoir Using Stochastic Logic: A Feasibility Study
Training like Playing: A Reinforcement Learning And Knowledge Graph-based framework for building Automatic Consultation System in Medical Field
Generative LLM Powered Conversational AI Application for Personalized Risk Assessment: A Case Study in COVID-19
Better Datastore, Better Translation: Generating Datastores from Pre-Trained Models for Nearest Neural Machine Translation
Forecasting Future DDoS Attacks Using Long Short Term Memory (LSTM) Model
Towards a Framework for Certification of Reliable Autonomous Systems
On the privacy of federated Clustering: A Cryptographic View
HomographyAD: Deep Anomaly Detection Using Self Homography Learning
Contraction Actor-Critic: Contraction Metric-Guided Reinforcement Learning for Robust Path Tracking
Fast Dimensionality Reduction from ℓ 2 to ℓ p
Basis Identification for Automatic Creation of Pronunciation Lexicon for Proper Names
Stable MPC Design for Hybrid Mixed Logical Dynamical Systems: l ∞ -based Lyapunov Approach
Clinical Context-aware Radiology Report Generation from Medical Images using Transformers
Differentially Private E-Values
Very large-scale neighborhood search for drone routing with energy replenishment
OnlineMate: An LLM-Based Multi-Agent Companion System for Cognitive Support in Online Learning
Twin-width and Transductions of Proper k-Mixed-Thin Graphs
Yield Evaluation of Citrus Fruits based on the YoloV5 compressed by Knowledge Distillation
Network Theory in Galaxy Distributions: The Coma Supercluster Neighborhood
A Model Predictive Control Approach for Quadrotor Cruise Control
Cascaded information enhancement and cross-modal attention feature fusion for multispectral pedestrian detection
Using Capsule Neural Network to predict Tuberculosis in lens-free microscopic images
LSTM-Based Forecasting and Analysis of EV Charging Demand in a Dense Urban Campus
Latent Conservative Objective Models for Data-Driven Crystal Structure Prediction
Numerical Evaluation of Algorithmic Complexity for Short Strings: A Glance into the Innermost Structure of Randomness
PromptGuard: Soft Prompt-Guided Unsafe Content Moderation for Text-to-Image Models
Sketch Beautification: Learning Part Beautification and Structure Refinement for Sketches of Man-made Objects
Weakly supervised cross-modal learning in high-content screening
TFCounter: Polishing Gems for Training-Free Object Counting
Label-Smoothed Backdoor Attack
Extracting Structured Seed-Mediated Gold Nanorod Growth Procedures from Literature with GPT-3
Message Passing for Dynamic Network Energy Management
Robust Tracking against Adversarial Attacks
On the Span of l Distance Coloring of Infinite Hexagonal Grid
Post-Post-API Age: Studying Digital Platforms in Scant Data Access Times
Region-based Quality Estimation Network for Large-scale Person Re-identification
Bayesian Metabolic Flux Analysis reveals intracellular flux couplings
Training on more Reachable Tasks for Generalisation in Reinforcement Learning
Distributed System Contract Monitoring
Machine Learning vs. Deep Learning in 5G Networks - A Comparison of Scientific Impact
EACO-RAG: Edge-Assisted and Collaborative RAG with Adaptive Knowledge Update
Inference for relative sparsity
MTH-IDS: A Multi-Tiered Hybrid Intrusion Detection System for Internet of Vehicles
Generative Propaganda
Integrating multimedia documents in 3D city models for a better understanding of territories
A Survey on Offline Model-Based Reinforcement Learning
Hybrid-DNNs: Hybrid Deep Neural Networks for Mixed Inputs
Differenciated Bandwidth Allocation in P2P Layered Streaming
WonderVerse: Extendable 3D Scene Generation with Video Generative Models
Threat-based Security Controls to Protect Industrial Control Systems
Thermodynamics of Encoding and Encoders
RFaaS: RDMA-Enabled FaaS Platform for Serverless High-Performance Computing
Non-uniform Online Learning: Towards Understanding Induction
Deep Learning-based Average Shear Wave Velocity Prediction using Accelerometer Records
Optimizing the switching operation in monoclonal antibody production: Economic MPC and reinforcement learning
Robust Batch Policy Learning in Markov Decision Processes
Representing Unordered Data Using Multiset Automata and Complex Numbers
Kidney Recognition in CT Using YOLOv3
Urban Analytics: Multiplexed and Dynamic Community Networks
CACTO-SL: Using Sobolev Learning to improve Continuous Actor-Critic with Trajectory Optimization
6D Object Pose Estimation using Keypoints and Part Affinity Fields
On a bound for the diameter of Cayley networks of symmetric groups generated by transposition trees
Uncertainty-Cognizant Model Predictive Control for Energy Management of Residential Buildings with PVT and Thermal Energy Storage
Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking
Maximum flow is approximable by deterministic constant-time algorithm in sparse networks
Reflective Parametric Frequency Selective Limiters with sub-dB Loss and μWatts Power Thresholds
Towards universally optimal sorting algorithms
A Database of Z 4 Codes
A Framework for Compressive Time-of-Flight 3D Sensing
An O(n log n) Algorithm for Single-Source Shortest Paths in Disk Graphs
Rate Region for Indirect Multiterminal Source Coding in Federated Learning
Automatic Crack Detection on Road Pavements Using Encoder Decoder Architecture
Mapping Semantic Networks to Undirected Networks
eRevise+RF: A Writing Evaluation System for Assessing Student Essay Revisions and Providing Formative Feedback
Fundamental Computational Limits in Pursuing Invariant Causal Prediction and Invariance-Guided Regularization
AbsTopK: Rethinking Sparse Autoencoders For Bidirectional Features
KV-Tracker: Real-Time Pose Tracking with Transformers
Enhancing Speech-to-Speech Translation with Multiple TTS Targets
Approximate Hubel-Wiesel Modules and the Data Structures of Neural Computation
Task Delay and Energy Consumption Minimization for Low-altitude MEC via Evolutionary Multi-objective Deep Reinforcement Learning
Quantum Generalized Linear Models
Surface-sampled simulations of turbulent flow at high Reynolds number
Reviewing and Improving the Gaussian Mechanism for Differential Privacy
Investigating Robotaxi Crash Severity Using Geographical Random Forest
Exploring Data and Knowledge combined Anomaly Explanation of Multivariate Industrial Data
Socratic RL: A Novel Framework for Efficient Knowledge Acquisition through Iterative Reflection and Viewpoint Distillation
Faithful Group Shapley Value
Test case quality: an empirical study on belief and evidence
Optimization of XNOR Convolution for Binary Convolutional Neural Networks on GPU
Multi-Visual-Inertial System: Analysis, Calibration and Estimation
Is There Tradeoff between Spatial and Temporal in Video Super-Resolution?
Integrating goals after prioritization and evaluation-A Goal-oriented requirements engineering method
A Review of the Long Horizon Forecasting Problem in Time Series Analysis
AI-Driven anemia diagnosis: A review of advanced models and techniques
AutoSlicer: Scalable Automated Data Slicing for ML Model Analysis
An Empirical Study of Teaching Methodologies and Learning Outcomes for Online and in-class Networking Course Sections
Careful Data Curation Stabilizes In-context Learning
Curriculum Recommendations Using Transformer Base Model with InfoNCE Loss And Language Switching Method
Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI
Leveraging AI Agents for Autonomous Networks: A Reference Architecture and Empirical Studies
X-ray transferable polyrepresentation learning
HypoChainer: A Collaborative System Combining LLMs and Knowledge Graphs for Hypothesis-Driven Scientific Discovery
On the complexity of class group computations for large degree number fields
Query-based Industrial Analytics over Knowledge Graphs with Ontology Reshaping
Beyond Cons: Purely Relational Data Structures
High-order Interactions Modeling for Interpretable Multi-Agent Q-Learning
Sculpting Efficiency: Pruning Medical Imaging Models for On-Device Inference
Design and Development of a Modular Bucket Drum Excavator for Lunar ISRU
Classification of Radiology Reports Using Neural Attention Models
From Detection to Correction: Backdoor-Resilient Face Recognition via Vision-Language Trigger Detection and Noise-Based Neutralization
Rewiring Human Brain Networks via Lightweight Dynamic Connectivity Framework: An EEG-Based Stress Validation
PURRS: Towards Computer Algebra Support for Fully Automatic Worst-Case Complexity Analysis
Thermodynamics-informed graph neural networks for real-time simulation of digital human twins
Pushing the limits for medical image reconstruction on recent standard multicore processors
Hard 3-CNF-SAT problems are in P - A first step in proving NP=P
Analyzing and enhancing OSKI for sparse matrix-vector multiplication
Uniform boundary observability for the spectral collocation of the linear elasticity system
Multiparameter spectral analysis for aeroelastic instability problems
CA2: Cyber Attacks Analytics
LionForests: Local Interpretation of Random Forests through Path Selection
A discontinuous Galerkin method based on a hierarchical orthogonal basis for Lagrangian hydrodynamics on curvilinear grids
Performance and Reliability Analysis for Practical Byzantine Fault Tolerance with Repairable Voting Nodes
Privacy-Aware Time-Series Data Sharing with Deep Reinforcement Learning
Iterative Detection for Compressive Sensing: Turbo CS
Insights and caveats from mining local and global temporal motifs in cryptocurrency transaction networks
Bivariate, Cluster and Suitability Analysis of NoSQL Solutions for Different Application Areas
Extended Range Telepresence for Evacuation Training in Pedestrian Simulations
A Diffeomorphic Approach to Multimodal Registration with Mutual Information: Applications to CLARITY Mouse Brain Images
SNP-S3: Shared Network Pre-training and Significant Semantic Strengthening for Various Video-Text Tasks
Trust And Balance: Few Trusted Samples Pseudo-Labeling and Temperature Scaled Loss for Effective Source-Free Unsupervised Domain Adaptation
Neural Green's Functions
A non-regular language of infinite trees that is recognizable by a finite algebra
TALENT: A Tabular Analytics and Learning Toolbox
Edge convex smooth interpolation curve networks with minimum L ∞ -norm of the second derivative
Distributionally Robust Regret Optimal Control Under Moment-Based Ambiguity Sets
Deep fusion of gray level co-occurrence matrices for lung nodule classification
CHAC. A MOACO Algorithm for Computation of Bi-Criteria Military Unit Path in the Battlefield
Identification based on random coding
Sublinear-Time Approximation for Graph Frequency Vectors in Hyperfinite Graphs
Gradient Energy Matching for Distributed Asynchronous Gradient Descent
Enhancing Carbon Emission Reduction Strategies using OCO and ICOS data
Research on Sectionalizing Switches Placement Problem of Distribution System Automation Based on Multi-Objective Optimization Analysis
Decentralized Online Learning with Kernels
R-4B: Incentivizing General-Purpose Auto-Thinking Capability in MLLMs via Bi-Mode Annealing and Reinforce Learning
ThermoCycleNet: Stereo-based Thermogram Labeling for Model Transition to Cycling
Secure Set-Based State Estimation for Linear Systems under Adversarial Attacks on Sensors
Spatio-Temporal Context Learning with Temporal Difference Convolution for Moving Infrared Small Target Detection
Apollo: An Interactive Environment for Generating Symbolic Musical Phrases using Corpus-based Style Imitation
A Large-Deviation Upperbound on Directed Last-Passage Percolation Growth Rate Based on Entropy of Direction Vector
A Pilot Study For Fragment Identification Using 2D NMR and Deep Learning
TopK Language Models
Visual Model-predictive Localization for Computationally Efficient Autonomous Racing of a 72-gram Drone
Speculative Path Planning
Flexible Auto-weighted Local-coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering
Context information can be more important than reasoning for time series forecasting with a large language model
The Role of Evolution in Machine Intelligence
Relative Error Embeddings for the Gaussian Kernel Distance
The ODE Method for Asymptotic Statistics in Stochastic Approximation and Reinforcement Learning
UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AI
Faster Convolution Inference Through Using Pre-Calculated Lookup Tables
On Error Correction for Physical Unclonable Functions
Align-KD: Distilling Cross-Modal Alignment Knowledge for Mobile Vision-Language Model
A Cooperation-Aware Lane Change Method for Autonomous Vehicles
Patient-Specific Models of Treatment Effects Explain Heterogeneity in Tuberculosis
The Hidden Strength of Costrong Functors
Turing Impossibility Properties for Stack Machine Programming
On Degeneracy in the P-Matroid Oriented Matroid Complementarity Problem
Mistake Notebook Learning: Selective Batch-Wise Context Optimization for In-Context Learning
Towards Practical Multi-Robot Hybrid Tasks Allocation for Autonomous Cleaning
Improve Global Glomerulosclerosis Classification with Imbalanced Data using CircleMix Augmentation
Invariance Measures for Neural Networks
The Impact of Cut Layer Selection in Split Federated Learning
Selection of Optimal Number and Location of PMUs for CNN Based Fault Location and Identification
Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs
Multi-Access Point Coordination for Next-Gen Wi-Fi Networks Aided by Deep Reinforcement Learning
Data Transfer Optimization Based on Offline Knowledge Discovery and Adaptive Real-time Sampling
Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?
Large-Scale Maintenance and Unit Commitment: A Decentralized Subgradient Approach
Dynamic Security Assessment of Small-Signal Stability for Power Systems using Windowed Online Gaussian Process
Technical solutions to resources allocation for distributed virtual machine systems
LLMRank: Understanding LLM Strengths for Model Routing
Sentence-level dialects identification in the greater China region
First Experiences with the Identification of People at Risk for Diabetes in Argentina using Machine Learning Techniques
On the Lasserre/Sum-of-Squares Hierarchy with Knapsack Covering Inequalities