yusuke1997/dblp-id-title huggingface dataset:
Impact of Excitation and Weighting Errors on Performance of Compact OTA Testing Systems
Exploring the weather impact on bike sharing usage through a clustering analysis
Towards Lexical Gender Inference: A Scalable Methodology using Online Databases
Regularization of a backwards parabolic equation by fractional operators
Belief Propagation based Joint Detection and Decoding for Resistive Random Access Memories
Robust Face Verification via Disentangled Representations
Resource Allocation for Secure Communication in Systems with Wireless Information and Power Transfer
Right-Adjoints for Datalog Programs, and Homomorphism Dualities over Restricted Classes
Learning Non-deterministic Representations with Energy-based Ensembles
PageRank Centrality in Directed Graphs with Bounded In-Degree
Deduction, Constrained Zero Forcing, and Constrained Searching
Fast and Provable Tensor Robust Principal Component Analysis via Scaled Gradient Descent
Robust Semi-Supervised Classification for Multi-Relational Graphs
Technical Report for the Forgotten-by-Design Project: Targeted Obfuscation for Machine Learning
Information Complexity and the Quest for Interactive Compression (A Survey)
AskToAct: Enhancing LLMs Tool Use via Self-Correcting Clarification
Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts
Large Intelligent Surfaces for Energy Efficiency in Wireless Communication
Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging
Neuroevolutionary learning of particles and protocols for self-assembly
Road Curb Detection and Localization with Monocular Forward-view Vehicle Camera
Embodied AI in Machine Learning - is it Really Embodied?
HHF: Hashing-guided Hinge Function for Deep Hashing Retrieval
Modeling the Dynamics of Online Learning Activity
Two Algorithms for Solving A General Backward Pentadiagonal Linear Systems
Comparing Prophet and Deep Learning to ARIMA in Forecasting Wholesale Food Prices
HawkBench: Investigating Resilience of RAG Methods on Stratified Information-Seeking Tasks
Multi-view deep learning for reliable post-disaster damage classification
A Basic Evaluation of Neural Networks Trained with the Error Diffusion Learning Algorithm
Attention-Guided Supervised Contrastive Learning for Semantic Segmentation
Unraveling Cold Start Enigmas in Predictive Analytics for OTT Media: Synergistic Meta-Insights and Multimodal Ensemble Mastery
Improved Face Representation via Joint Label Classification and Supervised Contrastive Clustering
An Efficient Algorithm for the Escherization Problem in the Polygon Representation
Constituency Parsing as an Instance of the M-monoid Parsing Problem
dtreg: Describing Data Analysis in Machine-Readable Format in Python and R
THOUGHTTERMINATOR: Benchmarking, Calibrating, and Mitigating Overthinking in Reasoning Models
Tropical Bisectors and Carlini-Wagner Attacks
Fast IMU-based Dual Estimation of Human Motion and Kinematic Parameters via Progressive In-Network Computing
Predictive Wand: a mathematical interface design for operations with delays
DoS Protection through Credit Based Metering - Simulation Based Evaluation for Time-Sensitive Networking in Cars
Image Segmentation using U-Net Architecture for Powder X-ray Diffraction Images
Variance in System Dynamics and Agent Based Modelling Using the SIR Model of Infectious Disease
Information collection for fraud detection in P2P financial market
Conditional Transferring Features: Scaling GANs to Thousands of Classes with 30% Less High-quality Data for Training
Embracing Reconfigurable Antennas in the Tri-hybrid MIMO Architecture for 6G
A Review on Fact Extraction and VERification: The FEVER case
RhoanaNet Pipeline: Dense Automatic Neural Annotation
Error Feedback for Muon and Friends
Weighted Envy-Freeness in House Allocation
On the arithmetic of graphs
A Weakest Chain Approach to Assessing the Overall Effectiveness of the 802.11 Wireless Network Security
Vaccine Search Patterns Provide Insights into Vaccination Intent
HardBoost: Boosting Zero-Shot Learning with Hard Classes
Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policies
TextlessRAG: End-to-End Visual Document RAG by Speech Without Text
LiveStyle - An Application to Transfer Artistic Styles
Characterizing Data Analysis Workloads in Data Centers
Quality assessment of 3D human animation: Subjective and objective evaluation
Enhancing Robustness to Noise Corruption for Point Cloud Model via Spatial Sorting and Set-Mixing Aggregation Module
Estimating Individual Treatment Effects using Non-Parametric Regression Models: a Review
LeanPO: Lean Preference Optimization for Likelihood Alignment in Video-LLMs
Quater-GCN: Enhancing 3D Human Pose Estimation with Orientation and Semi-supervised Training
Anonymization by Design of Language Modeling
DARWIN Series: Domain Specific Large Language Models for Natural Science
Classified as unknown: A novel Bayesian neural network
Binary Data Compression with and without Side Information at the Decoder: the Syndrome-Based Approach Using Off-the-Shelf Turbo Codecs
Approximation of Splines in Wasserstein Spaces
Denmark's Participation in the Search Engine TREC COVID-19 Challenge: Lessons Learned about Searching for Precise Biomedical Scientific Information on COVID-19
Think-J: Learning to Think for Generative LLM-as-a-Judge
Precision Enhancement of Distribution System State Estimation via Tri-Objective Micro Phasor Measurement Unit Deployment
Into-TTS : Intonation Template based Prosody Control System
Span Detection for Aspect-Based Sentiment Analysis in Vietnamese
ToG-Bench: Task-Oriented Spatio-Temporal Grounding in Egocentric Videos
Dual-branch Hybrid Learning Network for Unbiased Scene Graph Generation
A synthetic dataset of French electric load curves with temperature conditioning
Adaptive diffusion constrained total variation scheme with application to 'cartoon + texture + edge' image decomposition
Randomized Stochastic Variance-Reduced Methods for Stochastic Bilevel Optimization
AA-Omniscience: Evaluating Cross-Domain Knowledge Reliability in Large Language Models
Manifold-based Shapley for SAR Recognization Network Explanation
Efficient Truss Maintenance in Evolving Networks
Test Code Generation for Telecom Software Systems using Two-Stage Generative Model
Removing Biases from Trainable MT Metrics by Using Self-Training
Using Terrestrial Laser Scanning, Unmanned Aerial Vehicles and Mixed Reality Methodologies for Digital Survey, 3D Modelling and Historical Recreation of Religious Heritage Monuments
MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic Navigation
A Theoretically-Grounded Codebook for Digital Semantic Communications
Let Physics Guide Your Protein Flows: Topology-aware Unfolding and Generation
Exploratory Analysis of Functional Data via Clustering and Optimal Segmentation
Applications of Singular Entropy to Signals and Singular Smoothness to Images
Recurrent neural networks and transfer learning for elasto-plasticity in woven composites
Large Neighborhood and Hybrid Genetic Search for Inventory Routing Problems
LocoFormer: Generalist Locomotion via Long-context Adaptation
Differentiable Neural Radiosity
The morphospace of language networks
Efficient Data Compression with Error Bound Guarantee in Wireless Sensor Networks
Comparison of Multi Criteria Decision Making Algorithms for Ranking Cloud Renderfarm Services
Technical Report: Dealing with Undependable Workers in Decentralized Network Supercomputing
PatClArC: Using Pattern Concept Activation Vectors for Noise-Robust Model Debugging
Coupled Torsional and Transverse Vibration Analysis of Panels Partially Supported by Elastic Beam
Fully Convolutional Neural Networks for Dynamic Object Detection in Grid Maps
Location-Relative Attention Mechanisms For Robust Long-Form Speech Synthesis
Microelectromechanical system cantilever-based frequency doublers
Motion Vector-Domain Video Steganalysis Exploiting Skipped Macroblocks
Cooperative Dilemmas in Rational Debate
WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization
Dynamic Gradient Alignment for Online Data Mixing
MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos
New Algorithms for Computing Field of Vision over 2D Grids
C2AE: Class Conditioned Auto-Encoder for Open-set Recognition
On Bernstein- and Marcinkiewicz-type inequalities on multivariate C α -domains
High-Dimensional Bernoulli Autoregressive Process with Long-Range Dependence
P4sim: Programming Protocol-independent Packet Processors in ns-3
VWSIM: A Circuit Simulator
COVID-19 UK Social Media Dataset for Public Health Research: Methodology for Collection and Processing
Multimodal Transformer for Parallel Concatenated Variational Autoencoders
Universal Approximation with Softmax Attention
Learning K-way D-dimensional Discrete Code For Compact Embedding Representations
Scalable Learning of Intrusion Responses through Recursive Decomposition
Learning without Global Backpropagation via Synergistic Information Distillation
Attractor reconstruction with reservoir computers: The effect of the reservoir's conditional Lyapunov exponents on faithful attractor reconstruction
Fair Exchange in Strand Spaces
Y-MAP-Net: Real-time depth, normals, segmentation, multi-label captioning and 2D human pose in RGB images
Method of Additional Structures on the Objects of a Monoidal Kleisli Category as a Background for Information Transformers Theory
Transformer-Driven Triple Fusion Framework for Enhanced Multimodal Author Intent Classification in Low-Resource Bangla
Transferable End-to-end Room Layout Estimation via Implicit Encoding
Improving the Accuracy of Amortized Model Comparison with Self-Consistency
SI-spreading-based network embedding in static and temporal networks
Summarization in Semantic Based Service Discovery in Dynamic IoT-Edge Networks
Lightweight Online Noise Reduction on Embedded Devices using Hierarchical Recurrent Neural Networks
EEG-DBNet: A Dual-Branch Network for Temporal-Spectral Decoding in Motor-Imagery Brain-Computer Interfaces
Pushdown Timed Automata: a Binary Reachability Characterization and Safety Verification
Text-Attentional Convolutional Neural Networks for Scene Text Detection
Nonstandard Cayley automatic representations of fundamental groups
Social Conjuring: Multi-User Runtime Collaboration with AI in Building Virtual 3D Worlds
GEN2: A Generative Prediction-Correction Framework for Long-time Emulations of Spatially-Resolved Climate Extremes
Evaluating for Diversity in Question Generation over Text
BHSD: A 3D Multi-Class Brain Hemorrhage Segmentation Dataset
Real-time Traffic Simulation and Management for Large-scale Urban Air Mobility: Integrating Route Guidance and Collision Avoidance
ZOOMER: Boosting Retrieval on Web-scale Graphs by Regions of Interest
Where Do You Want To Invest? Predicting Startup Funding From Freely, Publicly Available Web Information
Agent-Based Optimal Control for Image Processing
My Voice, Your Voice, Our Voice: Attitudes Towards Collective Governance of a Choral AI Dataset
Reinforcement Learning based Beamforming for Massive MIMO Radar Multi-target Detection
Nonlinear manifold approximation using compositional polynomial networks
COVID-19 personal protective equipment detection using real-time deep learning methods
Pipe Overflow: Smashing Voice Authentication for Fun and Profit
Dual Gauss-Newton Directions for Deep Learning
Understanding Knowledge Leakage & BYOD (Bring Your Own Device): A Mobile Worker Perspective
Hydrodynamic surrogate models for bio-inspired micro-swimming robots
Temporal Graphs Anomaly Emergence Detection: Benchmarking For Social Media Interactions
Control with Probabilistic Signal Temporal Logic
Learning Simpler Language Models with the Delta Recurrent Neural Network Framework
Control and implementation of fluid-driven soft gripper with dynamic uncertainty of object
The hydrogen identity for Laplacians
A GAN Approach for Node Embedding in Heterogeneous Graphs Using Subgraph Sampling
Application of Data Mining Techniques to a Selected Business Organisation with Special Reference to Buying Behaviour
End-to-end Clinical Event Extraction from Chinese Electronic Health Record
Guard Placement For Wireless Localization
Near-Optimal Performance of Stochastic Predictive Control
Nearly Optimal Robust Method for Convex Compositional Problems with Heavy-Tailed Noise
Data-driven algorithm design using neural networks with applications to branch-and-cut
Exponentiated Gradient Reweighting for Robust Training Under Label Noise and Beyond
On the Limits of Applying Graph Transformers for Brain Connectome Classification
CL2R: Compatible Lifelong Learning Representations
A Keyword-Based Technique to Evaluate Broad Question Answer Script
Augmenting the Veracity and Explanations of Complex Fact Checking via Iterative Self-Revision with LLMs
PP-PicoDet: A Better Real-Time Object Detector on Mobile Devices
Reinforcement Learning Using Expectation Maximization Based Guided Policy Search for Stochastic Dynamics
On the reachability and observability of path and cycle graphs
SCDNet: Self-supervised Learning Feature-based Speaker Change Detection
EVALOOP: Assessing LLM Robustness in Programming from a Self-consistency Perspective
Polynomial Probabilistic Invariants and the Optional Stopping Theorem
Optimum Asymptotic Multiuser Efficiency of Pseudo-Orthogonal Randomly Spread CDMA
Towards Optimal Bayesian Algorithmic Mechanism Design
Bibliometric analysis on mathematics, 3 snapshots: 2005, 2010, 2015
Counterfactual LLM-based Framework for Measuring Rhetorical Style
Ensembles of GANs for synthetic training data generation
Empirical Evaluation of Circuit Approximations on Noisy Quantum Devices
Stochastic Combinatorial Ensembles for Defending Against Adversarial Examples
CelebA-Spoof Challenge 2020 on Face Anti-Spoofing: Methods and Results
Transformers4NewsRec: A Transformer-based News Recommendation Framework
Power of data in quantum machine learning
Comparison of static and dynamic random forests models for EHR data in the presence of competing risks: predicting central line-associated bloodstream infection
Novel Selectivity Estimation Strategy for Modern DBMS
Opportunistic Sleep Mode Strategies in Wireless Small Cell Networks
Coordination in State-Dependent Distributed Networks: The Two-Agent Case
Scale-Semantic Joint Decoupling Network for Image-text Retrieval in Remote Sensing
Analyse formelle de concept pour le routage des requêtes dans les systèmes pair-à-pair
OpenECAD: An Efficient Visual Language Model for Computer-Aided Design
Machine Learning-Based Classification of Oils Using Dielectric Properties and Microwave Resonant Sensing
Active Learning for Object Detection with Non-Redundant Informative Sampling
Bridging the Copyright Gap: Do Large Vision-Language Models Recognize and Respect Copyrighted Content?
Topic Space Trajectories: A case study on machine learning literature
Location Based Performance Model for Indoor mmWave Wearable Communication
Improved prediction of ligand-protein binding affinities by meta-modeling
Adaptive Preferential Attached kNN Graph with Distribution-Awareness
A Novel Approach for Intelligent Robot Path Planning
KL-Divergence Guided Temperature Sampling
Spectral Jacobi approximations for Boussinesq systems
Two Optimizations on the Stålmarck Procedure
Performance Analysis of OTFS Modulation with Receive Antenna Selection
Parameter Hierarchical Optimization for Visible-Infrared Person Re-Identification
SensiX++: Bringing MLOPs and Multi-tenant Model Serving to Sensory Edge Devices
Energy-Efficient M-QAM Precoder Design with Spatial Peak Power Minimization for MIMO Directional Modulation Transceivers
It was never about the language: paradigm impact on software design decisions
Cook and Clean Together: Teaching Embodied Agents for Parallel Task Execution
Upper Bound on the Capacity of the Single-User Nonlinear Schrödinger Channel
Continuous Q-Score Matching: Diffusion Guided Reinforcement Learning for Continuous-Time Control
Never eat a Pigeon with a Pumpkin: a model for the emergence and fixation of unsupported beliefs
Characterization of Generalizability of Spike Time Dependent Plasticity trained Spiking Neural Networks
Performance of Massive MIMO Uplink with Zero-Forcing receivers under Delayed Channels
Cyber Recovery from Dynamic Load Altering Attacks: Linking Electricity, Transportation, and Cyber Networks
Tensor cross interpolation for global discrete optimization with application to Bayesian network inference
Online Political Microtargeting: Promises and Threats for Democracy
Reconfigurable Manipulator Simulation for Robotics and Multimodal Machine Learning Application: Aaria
Modelling Power Consumptions for Multi-rotor UAVs
XASDB - Design and Implementation of an Open-Access Spectral Database
Pairwise Relations Discriminator for Unsupervised Raven's Progressive Matrices
LLM-guided DRL for Multi-tier LEO Satellite Networks with Hybrid FSO/RF Links
Exploiting Consistency-Preserving Loss and Perceptual Contrast Stretching to Boost SSL-based Speech Enhancement
An Operational Semantics of Graph Transformation Systems Using Symmetric Nets
Three Approaches for Personalization with Applications to Federated Learning
Convolutional Neural Bandit: Provable Algorithm for Visual-aware Advertising
Privacy-Preserving Multi-Target Multi-Domain Recommender Systems with Assisted AutoEncoders
On Word Error Rate Definitions and their Efficient Computation for Multi-Speaker Speech Recognition Systems
Markov Chain Order estimation with Conditional Mutual Information
An Approximate Projected Consensus Algorithm for Computing Intersection of Convex Sets
Proceedings of the VI International Workshop on Locational Analysis and Related Problems
AID-DTI: Accelerating High-fidelity Diffusion Tensor Imaging with Detail-preserving Model-based Deep Learning
CloRoFor: Cloud Robust Forensics
Machine Unlearning: Learning, Polluting, and Unlearning for Spam Email
Obstructions of Turkish Public Organizations Getting ISO/IEC 27001 Certified
Sim2Real Physically Informed Neural Controllers for Robotic Deployment of Deformable Linear Objects
Facial Reduction and SDP Methods for Systems of Polynomial Equations
Scheduling Feasibility of Energy Management in Micro-grids Based on Significant Moment Analysis
A Simple Baseline for Low-Budget Active Learning
A Spatial and Temporal Non-Local Filter Based Data Fusion
Multi-modal Contrastive Learning for Tumor-specific Missing Modality Synthesis
Exploiting Unlabeled Data with Multiple Expert Teachers for Open Vocabulary Aerial Object Detection and Its Orientation Adaptation
Dynamic Quantum Key Distribution for Microgrids with Distributed Error Correction
Towards a theory of model distillation
Error analysis of conformal finite element method for nonlocal diffusion model
An Efficient Solution for Model Checking Abstract State Machine Using Bogor
COOCK project Smart Port 2025 D3.2: "Variability in Twinning Architectures"
Inclusive Training Separation and Implicit Knowledge Interaction for Balanced Online Class-Incremental Learning
From Model-Based to Data-Driven Simulation: Challenges and Trends in Autonomous Driving
U-GIFT: Uncertainty-Guided Firewall for Toxic Speech in Few-Shot Scenario
Playing with Transformer at 30+ FPS via Next-Frame Diffusion
A replication of a controlled experiment with two STRIDE variants
Modeling and Control of High-Voltage Direct-Current Transmission Systems: From Theory to Practice and Back
Is star complexity a proxy for information based complexity of graphs?
Output Feedback Controller Design with Symbolic Observers for Cyber-physical Systems
SAMCLR: Contrastive pre-training on complex scenes using SAM for view sampling
Domain Adaptation from Scratch
In AI Sweet Harmony: Sociopragmatic Guardrail Bypasses and Evaluation-Awareness in OpenAI gpt-oss-20b
Two-Timescale Digital Twin Assisted Model Interference and Retraining over Wireless Network
Submodularity and Optimality of Fusion Rules in Balanced Binary Relay Trees
Enhancing the Interpretability of Deep Models in Heathcare Through Attention: Application to Glucose Forecasting for Diabetic People
Learning Whole Heart Mesh Generation From Patient Images For Computational Simulations
Multilayer Codes for Synchronization from Deletions
CausalPrism: A Visual Analytics Approach for Subgroup-based Causal Heterogeneity Exploration
Business Metric-Aware Forecasting for Inventory Management
Skin Segmentation from NIR Images using Unsupervised Domain Adaptation through Generative Latent Search
A Hybrid Cloud ERP Framework For Processing Purchasing Data
A Novel Solution to the Short Range Bluetooth Communication
Geometric Hitting Set for Line-Constrained Disks and Related Problems
Expert System Models in the Companies' Financial and Accounting Domain
FedSparQ: Adaptive Sparse Quantization with Error Feedback for Robust & Efficient Federated Learning
Map Prediction and Generative Entropy for Multi-Agent Exploration
CE-U: Cross Entropy Unlearning
10K is Enough: An Ultra-Lightweight Binarized Network for Infrared Small-Target Detection
Symmetric M-tree
Agile Practices for Quantum Software Development: Practitioners Perspectives
Characterizing the Efficiency vs. Accuracy Trade-off for Long-Context NLP Models
SkelSplat: Robust Multi-view 3D Human Pose Estimation with Differentiable Gaussian Rendering
Algorithm Research of ELMo Word Embedding and Deep Learning Multimodal Transformer in Image Description
BertsWin: Resolving Topological Sparsity in 3D Masked Autoencoders via Component-Balanced Structural Optimization
View Transition based Dual Camera Image Fusion
The Oscars of AI Theater: A Survey on Role-Playing with Language Models
On-Chain IoT Data Modification in Blockchains
Convergence Rates for Deterministic and Stochastic Subgradient Methods Without Lipschitz Continuity
Efficient and Robust Discrete Conformal Equivalence with Boundary
IDSO-Managed Bid-Based Transactive Distribution Systems Design for DER Participation in Wholesale Markets While Preserving T-D Interactions
Super-resolution image projection over an extended depth of field using a diffractive decoder
LongWeave: A Long-Form Generation Benchmark Bridging Real-World Relevance and Verifiability
Ovopub: Modular data publication with minimal provenance
Cross-speaker Style Transfer with Prosody Bottleneck in Neural Speech Synthesis
A Verifiable Framework for Cyber-Physical Attacks and Countermeasures in a Resilient Electric Power Grid
Time-EAPCR: A Deep Learning-Based Novel Approach for Anomaly Detection Applied to the Environmental Field
Fully Dynamic (Δ+1)-Coloring in Constant Update Time
Bayesian NVH metamodels to assess interior cabin noise using measurement databases
Sample Complexity of Robust Learning against Evasion Attacks
Two Dimensional (α, β)-Constacyclic Codes of arbitrary length over a Finite Field
Attend to the Right Context: A Plug-and-Play Module for Content-Controllable Summarization
Online Learning and Optimization Under a New Linear-Threshold Model with Negative Influence
FPGA-Optimized Hardware Accelerator for Fast Fourier Transform and Singular Value Decomposition in AI
Chameleon: Learning Model Initializations Across Tasks With Different Schemas
Multi-view Common Component Discriminant Analysis for Cross-view Classification
Comparison of continuity equation and Gaussian mixture model for long-term density propagation using semi-analytical methods
A design framework for all-digital mmWave massive MIMO with per-antenna nonlinearities
Factorization in categories of systems of linear partial differential equations
On-line topological simplification of weighted graphs
Security of Power Packet Dispatching Using Differential Chaos Shift Keying
Meta-causal Learning for Single Domain Generalization
Geometry-Consistent 4D Gaussian Splatting for Sparse-Input Dynamic View Synthesis
Personalized Route Recommendation Based on User Habits for Vehicle Navigation
Impact of UAV Jittering on the Air-to-Ground Wireless Channel
Evaluation in EEG Emotion Recognition: State-of-the-Art Review and Unified Framework
How to warm-start your unfolding network
LADEV: A Language-Driven Testing and Evaluation Platform for Vision-Language-Action Models in Robotic Manipulation
Few-Shot Abstract Visual Reasoning With Spectral Features
Rain rendering for evaluating and improving robustness to bad weather