yusuke1997/dblp-id-title huggingface dataset:
Use of Service Curve for Resource Reservation in Wired-cum-Wireless Scenario
The switch operators and push-the-button games: a sequential compound over rulesets
Is Signed Message Essential for Graph Neural Networks?
Active Inference as a Model of Agency
A Visual Self-attention Mechanism Facial Expression Recognition Network beyond Convnext
ALTo: Adaptive-Length Tokenizer for Autoregressive Mask Generation
Tailor Versatile Multi-modal Learning for Multi-label Emotion Recognition
Holi-DETR: Holistic Fashion Item Detection Leveraging Contextual Information
DepoRanker: A Web Tool to predict Klebsiella Depolymerases using Machine Learning
An approach to evaluation of common DNS misconfigurations
Geometric mean for T-positive definite tensors and associated Riemannian geometry
A Radiance Field Loss for Fast and Simple Emissive Surface Reconstruction
Mark Your LLM: Detecting the Misuse of Open-Source Large Language Models via Watermarking
A Long-term Dependent and Trustworthy Approach to Reactor Accident Prognosis based on Temporal Fusion Transformer
An Algorithm for Generating Strongly Chordal Graphs
Termination of canonical context-sensitive rewriting and productivity of rewrite systems
SimCoachCorpus: A naturalistic dataset with language and trajectories for embodied teaching
Logic Characterization of Floyd Languages
Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for Privacy
Infinite Families of Recursive Formulas Generating Power Moments of Ternary Kloosterman Sums with Trace Nonzero Square Arguments: O(2n+1,2^{r}) Case
Automated inference of production rules for glycans
An Enhanced Low-Resolution Image Recognition Method for Traffic Environments
Granger Causality from Quantized Measurements
Semantics and pragmatics in actual software applications and in web search engines: exploring innovations
An Expressive Deep Model for Human Action Parsing from A Single Image
MeLFusion: Synthesizing Music from Image and Language Cues using Diffusion Models
Protecting Celebrities with Identity Consistency Transformer
Safe Active Learning for Gaussian Differential Equations
SafeGenBench: A Benchmark Framework for Security Vulnerability Detection in LLM-Generated Code
simTPM: User-centric TPM for Mobile Devices (Technical Report)
Multi-Robot Task Allocation - Complexity and Approximation
A Server-based Approach for Predictable GPU Access with Improved Analysis
TFDNet: Time-Frequency Enhanced Decomposed Network for Long-term Time Series Forecasting
Impact of Scaled Image on Robustness of Deep Neural Networks
On the relation between reliable computation time, float-point precision and the Lyapunov exponent in chaotic systems
Boosting Semi-Supervised Temporal Action Localization by Learning from Non-Target Classes
Spontaneous Kolmogorov-Arnold Geometry in Shallow MLPs
Drift Estimation for Diffusion Processes Using Neural Networks Based on Discretely Observed Independent Paths
Zero-Shot Vehicle Model Recognition via Text-Based Retrieval-Augmented Generation
Reliability Sensitivity with Response Gradient
Motor Imagery Classification for Asynchronous EEG-Based Brain-Computer Interfaces
Adding Multimodal Capabilities to a Text-only Translation Model
Mixing Natural and Synthetic Images for Robust Self-Supervised Representations
Validation and parameter optimization of a hybrid embedded/homogenized solid tumor perfusion model
Generative Adversarial Networks And Domain Adaptation For Training Data Independent Image Registration
Emotional Supporters often Use Multiple Strategies in a Single Turn
Training for temporal sparsity in deep neural networks, application in video processing
LLM is Like a Box of Chocolates: the Non-determinism of ChatGPT in Code Generation
Heterogeneous Multi-Agent Reinforcement Learning for Distributed Channel Access in WLANs
Flexible Log File Parsing using Hidden Markov Models
Parallel algorithms in linear algebra
Casting graph isomorphism as a point set registration problem using a simplex embedding and sampling
Time and Frequency Domain-based Anomaly Detection in Smart Meter Data for Distribution Network Studies
Joint Optimization of Service Caching Placement and Computation Offloading in Mobile Edge Computing System
Re-ranking for Writer Identification and Writer Retrieval
A Dynamic Topic Identification and Labeling Approach of COVID-19 Tweets
Geometric-Stochastic Multimodal Deep Learning for Predictive Modeling of SUDEP and Stroke Vulnerability
Decentralized Exchange that Mitigate a Bribery Attack
Debunking van Enk-Pike's criterion for quantum games
The morpho-topographic and cartographic analysis of the archaeological site Cornesti "Iarcuri", Timis County, Romania, using computer sciences methods (GIS and Remote Sensing techniques)
Self-Adaptive Graph Mixture of Models
Matching-centrality decomposition and the forecasting of new links in networks
Interpreting extracted rules from ensemble of trees: Application to computer-aided diagnosis of breast MRI
Reconstructing Network Inputs with Additive Perturbation Signatures
Is More Data Better? Re-thinking the Importance of Efficiency in Abusive Language Detection with Transformers-Based Active Learning
Learning a Deep Convolution Network with Turing Test Adversaries for Microscopy Image Super Resolution
Curriculum-Based Reinforcement Learning for Quadrupedal Jumping: A Reference-free Design
The Role of Empathy in Software Engineering - A Socio-Technical Grounded Theory
Bayesian Graph Neural Networks for Molecular Property Prediction
Parallel Multi-Scale Networks with Deep Supervision for Hand Keypoint Detection
Goal-oriented Autonomous Driving
Bridging the Gap: Integrating Pre-trained Speech Enhancement and Recognition Models for Robust Speech Recognition
Deep Learning Features at Scale for Visual Place Recognition
Spiking Neural Networks: a theoretical framework for Universal Approximation and training
Skeletal Graph Self-Attention: Embedding a Skeleton Inductive Bias into Sign Language Production
Personalized breath based biometric authentication with wearable multimodality
Resource Allocation in Shared Spectrum Access Communications for Operators with Diverse Service Requirements
BootSeer: Analyzing and Mitigating Initialization Bottlenecks in Large-Scale LLM Training
MatchKAT: An Algebraic Foundation For Match-Action
Doing-it-All with Bounded Work and Communication
Fast computation of approximate weak common intervals in multiple indeterminate strings
Real-Time Monitoring and Control of Water Networks
DeepVoting: Learning Voting Rules with Tailored Embeddings
QE-EBM: Using Quality Estimators as Energy Loss for Machine Translation
Probing Commonsense Reasoning Capability of Text-to-Image Generative Models via Non-visual Description
Cross-domain attribute representation based on convolutional neural network
Columnwise Element Selection for Computationally Efficient Nonnegative Coupled Matrix Tensor Factorization
Approximate Multi-Matroid Intersection via Iterative Refinement
Generating Training Data for Denoising Real RGB Images via Camera Pipeline Simulation
An Efficient Machine Learning-based Channel Prediction Technique for OFDM Sub-Bands
Principal Component Analysis (PCA)-based Massive-MIMO Channel Feedback
Towards Universal Vision-language Omni-supervised Segmentation
Arachnophobia Exposure Therapy using Experience-driven Procedural Content Generation via Reinforcement Learning (EDPCGRL)
Reducing Memory Contention and I/O Congestion for Disk-based GNN Training
Spatiotemporal Satellite Image Downscaling with Transfer Encoders and Autoregressive Generative Models
How to decide Functionality of Compositions of Top-Down Tree Transducers
VISaGE: Understanding Visual Generics and Exceptions
An Empirical Study on Prompt Compression for Large Language Models
Generating Diffusion MRI scalar maps from T1 weighted images using generative adversarial networks
A vision-based autonomous UAV inspection framework for unknown tunnel construction sites with dynamic obstacles
Asymptotic Spectral Distribution of Crosscorrelation Matrix in Asynchronous CDMA
A Study of User's Performance and Satisfaction on the Web Based Photo Annotation with Speech Interaction
Scale Ratio Tuning of Group Based Job Scheduling in HPC Systems
Multi-access Edge Computing: The driver behind the wheel of 5G-connected cars
The Ethical Compass of the Machine: Evaluating Large Language Models for Decision Support in Construction Project Management
Discrete Processes and their Continuous Limits
3DMaterialGAN: Learning 3D Shape Representation from Latent Space for Materials Science Applications
An Algorithm Unrolling Approach to Deep Blind Image Deblurring
A stochastic algorithm for fault inverse problems in elastic half space with proof of convergence
A Fully Quaternion-Valued Capon Beamformer Based on Crossed-Dipole Arrays
Integrated Data Acquisition, Storage, Retrieval and Processing Using the COMPASS DataBase (CDB)
Computational Discovery of Energy-Efficient Heat Treatment for Microstructure Design using Deep Reinforcement Learning
Symmetric Private Information Retrieval (SPIR) on Graph-Based Replicated Systems
A supervised hybrid quantum machine learning solution to the emergency escape routing problem
Screen Tracking for Clinical Translation of Live Ultrasound Image Analysis Methods
Causal Linearizability
On mean field solutions of kinetic exchange opinion models
Threshold KNN-Shapley: A Linear-Time and Privacy-Friendly Approach to Data Valuation
A mixed finite element method for the stochastic Boussinesq equations with multiplicative noise
Network Pruning via Resource Reallocation
A Review of Matrix Algebra for Power and Energy Applications
CosAvatar: Consistent and Animatable Portrait Video Tuning with Text Prompt
Context-Aware Misbehavior Detection Scheme for Vehicular Ad Hoc Networks using Sequential Analysis of the Temporal and Spatial Correlation of the Cooperative Awareness Messages
The Cell Probe Complexity of Dynamic Range Counting
HumBug Zooniverse: a crowd-sourced acoustic mosquito dataset
Principal Component Analysis versus Factor Analysis
Towards Easy and Realistic Network Infrastructure Testing for Large-scale Machine Learning
Cross-Document Event Coreference Resolution Beyond Corpus-Tailored Systems
Powershap: A Power-full Shapley Feature Selection Method
Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts
ROC movies - a new generalization to a popular classic
Kähler Geometry of Quiver Varieties and Machine Learning
Alternative Detectors for Spectrum Sensing by Exploiting Excess Bandwidth
Probabilistically Faulty Searching on a Half-Line
Enhancing Monotonic Modeling with Spatio-Temporal Adaptive Awareness in Diverse Marketing
Fortified quantum mass function utilizing ordinal pictorial check based on time interval analysis and expertise
Multigrid-augmented deep learning preconditioners for the Helmholtz equation
Taxonomic Class Incremental Learning
Vision-based indoor localization of nano drones in controlled environment with its applications
Developing automatic verbatim transcripts for international multilingual meetings: an end-to-end solution
Modelling and Verifying an Object-Oriented Concurrency Model in GROOVE
CQ-DINO: Mitigating Gradient Dilution via Category Queries for Vast Vocabulary Object Detection
Optimized Field/Circuit Coupling for the Simulation of Quenches in Superconducting Magnets
GQKVA: Efficient Pre-training of Transformers by Grouping Queries, Keys, and Values
Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation
Explainable, Multi-modal Wound Infection Classification from Images Augmented with Generated Captions
Multi-label Classification using Labels as Hidden Nodes
AuthorMist: Evading AI Text Detectors with Reinforcement Learning
Treeplication: An Erasure Code for Distributed Full Recovery under the Random Multiset Channel
On the Multidimensional Augmentation of Fingerprint Data for Indoor Localization in A Large-Scale Building Complex Based on Multi-Output Gaussian Process
Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies
Mapping and Coding Design for Channel Coded Physical-layer Network Coding
Learning distributed representations of graphs with Geo2DR
IPA in the Loop: Control Design for Throughput Regulation in Computer Processors
Information Design With Large Language Models
Deep Learning for Content-based Personalized Viewport Prediction of 360-Degree VR Videos
Stealing Trust: Unveiling Vulnerabilities in Web3 Authentication
SAM-COD: SAM-guided Unified Framework for Weakly-Supervised Camouflaged Object Detection
RM-Dijkstra: A surface optimal path planning algorithm based on Riemannian metric
Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and Stationary \beta-Mixing Processes
ATMO: An Aerially Transforming Morphobot for Dynamic Ground-Aerial Transition
A Systematic Survey on Federated Sequential Recommendation
Backtesting the predictability of COVID-19
On cyclotomic cosets and code constructions
See It Before You Grab It: Deep Learning-based Action Anticipation in Basketball
An Analysis of Layer-Freezing Strategies for Enhanced Transfer Learning in YOLO Architectures
Audio-Visual Spatial Aligment Requirements of Central and Peripheral Object Events
Designing Social Robots that Engage Older Adults in Exercise: A Case Study
A Formal Model of the Economic Impacts of AI Openness Regulation
Adaptive Backtracking For Faster Optimization
Game Theoretic Iterative Partitioning for Dynamic Load Balancing in Distributed Network Simulation
Fractional Repetition Batch Codes
Scaling and renormalization in high-dimensional regression
Surrogate Outcomes and Transportability
Self-training from Self-memory in Data-to-text Generation
Memristive LSTM network hardware architecture for time-series predictive modeling problem
Improving Sentence Embeddings with an Automatically Generated NLI Dataset
Attention-Aware Inference for Neural Abstractive Summarization
IoU-uniform R-CNN: Breaking Through the Limitations of RPN
Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization
A Semantic Model for Historical Manuscripts
Synthetic Wave-Geometric Impulse Responses for Improved Speech Dereverberation
Unified, User and Task (UUT) Centered Artificial Intelligence for Metaverse Edge Computing
Optimal Routing in the Presence of Hooks: Three Case Studies
Finding Linear Dependencies in Integration-By-Parts Equations: A Monte Carlo Approach
A Framework for Generating Explanations from Temporal Personal Health Data
Cloning Ideology and Style using Deep Learning
Trading Volume Maximization with Online Learning
Are Synthetic Data Useful for Egocentric Hand-Object Interaction Detection? An Investigation and the HOI-Synth Domain Adaptation Benchmark
Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction
Automatic Heteronym Resolution Pipeline Using RAD-TTS Aligners
Kidney tumor segmentation using an ensembling multi-stage deep learning approach. A contribution to the KiTS19 challenge
Learning from Diverse Reasoning Paths with Routing and Collaboration
GPU-accelerated real-time stixel computation
Improved Text Language Identification for the South African Languages
Synthesis of separation processes with reinforcement learning
Multiparty computation unconditionally secure against Q^2 adversary structures
Federated Learning with Unbiased Gradient Aggregation and Controllable Meta Updating
Real-is-Sim: Bridging the Sim-to-Real Gap with a Dynamic Digital Twin for Real-World Robot Policy Evaluation
Contextuality from missing and versioned data
Uniform C k Approximation of G-Invariant and Antisymmetric Functions, Embedding Dimensions, and Polynomial Representations
Task Graph Transformations for Latency Tolerance
Information Spectrum Approach to the Source Channel Separation Theorem
Controlling nonlinear dynamical systems into arbitrary states using machine learning
Graph Neural Network Aided Deep Reinforcement Learning for Resource Allocation in Dynamic Terahertz UAV Networks
3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation
Simultaneous Weight and Architecture Optimization for Neural Networks
Global monotone convergence of Newton-like iteration for a nonlinear eigen-problem
Fake Hilsa Fish Detection Using Machine Vision
Diversity of Online Community Activities
Stable Equimatchable Graphs
Diversity-grounded Channel Prototypical Learning for Out-of-Distribution Intent Detection
Diffusion-based Speech Enhancement with Schrödinger Bridge and Symmetric Noise Schedule
ShelfOcc: Native 3D Supervision beyond LiDAR for Vision-Based Occupancy Estimation
Automated Optimal Layout Generator for Animal Shelters: A framework based on Genetic Algorithm, TOPSIS and Graph Theory
Vision-based GNSS-Free Localization for UAVs in the Wild
Accelerating sequential programs using FastFlow and self-offloading
Contagion-Preserving Network Sparsifiers: Exploring Epidemic Edge Importance Utilizing Effective Resistance
From Principles to Practice with Class in the First Year
A Complete Diagrammatic Calculus for Boolean Satisfiability
GADTs meet subtyping
Review of syn-flooding attack detection mechanism
Federated Continual Learning: Concepts, Challenges, and Solutions
Large-Scale Classification using Multinomial Regression and ADMM
Integrated Semi-definite Relaxation Receiver for LDPC-Coded MIMO Systems
A parallel-in-time solver for nonlinear degenerate time-periodic parabolic problems
Three-Dimensional Central Moment Lattice Boltzmann Method on a Cuboid Lattice for Anisotropic and Inhomogeneous Flows
HanDyVQA: A Video QA Benchmark for Fine-Grained Hand-Object Interaction Dynamics
Localized sketching for matrix multiplication and ridge regression
A New and Elegant Argument that P is not NP
A Case for Quantifying Statistical Robustness of Specialized Probabilistic AI Accelerators
FlexICL: A Flexible Visual In-context Learning Framework for Elbow and Wrist Ultrasound Segmentation
Reconstructing unsteady flows from sparse, noisy measurements with a physics-constrained convolutional neural network
From Mannequin to Human: A Pose-Aware and Identity-Preserving Video Generation Framework for Lifelike Clothing Display
Algorithmic statistics, prediction and machine learning
Formal Verification of Control Systems Properties with Theorem Proving
On Deterministically Finding an Element of High Order Modulo a Composite
An Empirical Assessment of Endpoint Security Systems Against Advanced Persistent Threats Attack Vectors
Balanced incomplete block designs and exact satisfiability
3D Radar and Camera Co-Calibration: A Flexible and Accurate Method for Target-based Extrinsic Calibration
A Deep Learning Approach for Macroscopic Energy Consumption Prediction with Microscopic Quality for Electric Vehicles
Goal-oriented Estimation of Multiple Markov Sources in Resource-constrained Systems
Incorporating Like-Minded Peers to Overcome Friend Data Sparsity in Session-Based Social Recommendations
Enhancing Trust in AI Marketplaces: Evaluating On-Chain Verification of Personalized AI models using zk-SNARKs
Causal Induction from Visual Observations for Goal Directed Tasks
Stochastic thermodynamics of computation
A Direct Matrix Method for Computing Analytical Jacobians of Discretized Nonlinear Integro-differential Equations
Advances in Hybrid Modular Climbing Robots: Design Principles and Refinement Strategies
Domain adaptation in small-scale and heterogeneous biological datasets
Design for Sensing and Digitalisation (DSD): A Modern Approach to Engineering Design
Riemannian Newton methods for energy minimization problems of Kohn-Sham type
Dynamic aspects of individual design activities. A cognitive ergonomics viewpoint
Automatic Design Method of Building Pipeline Layout Based on Deep Reinforcement Learning
Mocap Everyone Everywhere: Lightweight Motion Capture With Smartwatches and a Head-Mounted Camera
A Deterministic Sparse FFT for Functions with Structured Fourier Sparsity
Intelligent Reflecting Surface Networks with Multi-Order-Reflection Effect: System Modelling and Critical Bounds
Causal Effect Regularization: Automated Detection and Removal of Spurious Attributes
An Adaptive Algorithm for Precise Pupil Boundary Detection using Entropy of Contour Gradients
Autonomous AI Bird Feeder for Backyard Biodiversity Monitoring
Manifold Regularization for Memory-Efficient Training of Deep Neural Networks
A theorem of Kalman and minimal state-space realization of Vector Autoregressive Models
Economic Model Predictive Control with a Non-Fixed Reference Trajectory for Optimal Microgrid Dispatch
Reviewing FID and SID Metrics on Generative Adversarial Networks
PERSONA: Personalized Whole-Body 3D Avatar with Pose-Driven Deformations from a Single Image
Vibe Reasoning: Eliciting Frontier AI Mathematical Capabilities - A Case Study on IMO 2025 Problem 6
Hiding Data in OFDM Symbols of IEEE 802.11 Networks
Development of a Cost-Effective Simulation Tool for Loss of Flow Accident Transients in High-Temperature Gas-cooled Reactors
DoD Stabilization of linear hyperbolic PDEs on general cut-cell meshes
Adaptive Robust Null-Space Projection Beamforming Scheme for Secure Wireless Transmission with AN-aided Directional Modulation
Pose-Based Fall Detection System: Efficient Monitoring on Standard CPUs
Skipper: Maximal Matching with a Single Pass over Edges
From Shadow Generation to Shadow Removal
Generalization Enhancement Strategies to Enable Cross-year Cropland Mapping with Convolutional Neural Networks Trained Using Historical Samples
Evaluator for Emotionally Consistent Chatbots
Particles Prefer Walking Along the Axes: Experimental Insights into the Behavior of a Particle Swarm
Achieving Downstream Fairness with Geometric Repair
Guiding ChatGPT to Fix Web UI Tests via Explanation-Consistency Checking
Explainability is NOT a Game
Performance Evaluation of t-SNE and MDS Dimensionality Reduction Techniques with KNN, ENN and SVM Classifiers
Winograd Convolution for DNNs: Beyond linear polinomials
Leveraging A New GAN-based Transformer with ECDH Crypto-system for Enhancing Energy Theft Detection in Smart Grid
Forecasting Public Sentiments via Mean Field Games
On the existence of paradoxical motions of generically rigid graphs on the sphere
Anomaly Detection in Double-entry Bookkeeping Data by Federated Learning System with Non-model Sharing Approach
Robustness Verification of Quantum Machine Learning
Embedded Microcontrol for Photovoltaic Water Pumping System
Combinatorial Markov chains on linear extensions
Symbiotic Graph Neural Networks for 3D Skeleton-based Human Action Recognition and Motion Prediction
Optimising Monotone Chance-Constrained Submodular Functions Using Evolutionary Multi-Objective Algorithms
Correcting the Common Discourse Bias in Linear Representation of Sentences using Conceptors
Accelerating Large Language Model Pretraining via LFR Pedagogy: Learn, Focus, and Review
Tree-Sliced Approximation of Wasserstein Distances
Privacy-Preserving Machine Learning: Methods, Challenges and Directions
Underwater Robotic Simulators Review for Autonomous System Development
Distantly Supervised Morpho-Syntactic Model for Relation Extraction
DDOT: A Derivative-directed Dual-decoder Ordinary Differential Equation Transformer for Dynamic System Modeling
Graph-based Deep Generative Modelling for Document Layout Generation
Interpreting learned search: finding a transition model and value function in an RNN that plays Sokoban
Hashing based Answer Selection
Llamarine: Open-source Maritime Industry-specific Large Language Model
Understanding misinformation in India: The case for a meaningful regulatory approach for social media platforms
Professional Software Developers Don't Vibe, They Control: AI Agent Use for Coding in 2025
Harnessing Elastic Energy to Transfer Reciprocating Actuation into Rotary Motion
A Generative Modeling Approach Using Quantum Gates
Momentum-based Accelerated Q-learning
UniEnc-CASSNAT: An Encoder-only Non-autoregressive ASR for Speech SSL Models
Edge AI-based Radio Frequency Fingerprinting for IoT Networks
Understanding Large-Scale Plasma Simulation Challenges for Fusion Energy on Supercomputers
Survey on Computer Vision Techniques for Internet-of-Things Devices
DBSegment: Fast and robust segmentation of deep brain structures - Evaluation of transportability across acquisition domains