yusuke1997/dblp-id-title huggingface dataset:
COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems against Semantic Attacks
AIG Rewriting Using 5-Input Cuts
Uni-MoE-2.0-Omni: Scaling Language-Centric Omnimodal Large Model with Advanced MoE, Training and Data
Exclusion Zones of Instant Runoff Voting
Local Rotation Invariance in 3D CNNs
Pose-Guided Sign Language Video GAN with Dynamic Lambda
VTutor for High-Impact Tutoring at Scale: Managing Engagement and Real-Time Multi-Screen Monitoring with P2P Connections
When AI Does Science: Evaluating the Autonomous AI Scientist KOSMOS in Radiation Biology
MOL-Eye: A New Metric for the Performance Evaluation of a Molecular Signal
Intersection multiplicity of a sparse curve and a low-degree curve
Leveraging the Inherent Hierarchy of Vacancy Titles for Automated Job Ontology Expansion
Starting with data: advancing spatial data science by building and sharing high-quality datasets
G-RCN: Optimizing the Gap between Classification and Localization Tasks for Object Detection
No Need for Recovery: A Simple Two-Step Byzantine Consensus
Modularity-Based Clustering for Network-Constrained Trajectories
Finite Volume Simulation Framework for Die Casting with Uncertainty Quantification
Fast Transaction Scheduling in Blockchain Sharding
Distributed Approximation Algorithms for Minimum Dominating Set in Locally Nice Graphs
Multiscale Hierarchical Convolutional Networks
A Robot to Shape your Natural Plant: The Machine Learning Approach to Model and Control Bio-Hybrid Systems
Gigapixel Histopathological Image Analysis using Attention-based Neural Networks
GCRE-GPT: A Generative Model for Comparative Relation Extraction
Measuring Exploration in Reinforcement Learning via Optimal Transport in Policy Space
An adaptive transport framework for joint and conditional density estimation
Dual-domain Adaptation Networks for Realistic Image Super-resolution
A priori and a posteriori error estimates for discontinuous Galerkin time-discrete methods via maximal regularity
Multi-Scale Aggregation Using Feature Pyramid Module for Text-Independent Speaker Verification
Belief Conditioning Rules (BCRs)
Detecting Anomalous LAN Activities under Differential Privacy
Battling the Digital Forensic Backlog through Data Deduplication
Exact Computation of LTI Reach Set from Integrator Reach Set with Bounded Input
Stochastic Approximation with Markov Noise: Analysis and applications in reinforcement learning
Boundary Guided Mixing Trajectory for Semantic Control with Diffusion Models
A new safety-guided design methodology to complement model-based safety analysis for safety assurance
BeaverTalk: Oregon State University's IWSLT 2025 Simultaneous Speech Translation System
Simplified Swarm Optimization for Bi-Objection Active Reliability Redundancy Allocation Problems
Multi-Agent LLMs as Ethics Advocates for AI-Based Systems
Towards Optimal Integrated Planning of Electricity and Hydrogen Infrastructure for Large-Scale Renewable Energy Transport
Fairness Preferences, Actual and Hypothetical: A Study of Crowdworker Incentives
Efficient manifold evolution algorithm using adaptive B-Spline interpolation
Two-way Wireless Video Communication using Randomized Cooperation, Network Coding and Packet Level FEC
GRUvader: Sentiment-Informed Stock Market Prediction
Deterministic Primal-Dual Algorithms for Online k-way Matching with Delays
Learning Connectivity and Higher-order Interactions in Radial Distribution Grids
Generative AI in the Construction Industry: Opportunities & Challenges
PROTO: Iterative Policy Regularized Offline-to-Online Reinforcement Learning
The Arbitrarily Varying Broadcast Channel with Degraded Message Sets with Causal Side Information at the Encoder
An Upper Bound of 7n/6 for the Minimum Size 2EC on Cubic 3-Edge Connected Graphs
Evaluating the Process Modeling Abilities of Large Language Models - Preliminary Foundations and Results
Hybrid Neural Models For Sequence Modelling: The Best Of Three Worlds
Retrieval Augmented Generation Systems: Automatic Dataset Creation, Evaluation and Boolean Agent Setup
AutoSCORE: Enhancing Automated Scoring with Multi-Agent Large Language Models via Structured Component Recognition
Research, Applications and Prospects of Event-Based Pedestrian Detection: A Survey
Stabilizing Circular Motion Within Nonconcentric Circular Boundary: A Mobius Transformation-Based Approach
Dependency Grammar Induction with a Neural Variational Transition-based Parser
A self-managed architecture for sensor networks based on real time data analysis
Evolution of Transparent Explainable Rule-sets
Some three-weight linear codes and their complete weight enumerators and weight hierarchies
On resampling vs. adjusting probabilistic graphical models in estimation of distribution algorithms
MTNet: A Multi-Task Neural Network for On-Field Calibration of Low-Cost Air Monitoring Sensors
Level Set Estimation from Compressive Measurements using Box Constrained Total Variation Regularization
Accelerating Inference for Multilayer Neural Networks with Quantum Computers
Searching in Dynamic Catalogs on a Tree
Proposal and Verification of Novel Machine Learning on Classification Problems
Computational Chemotaxis in Ants and Bacteria over Dynamic Environments
Random Multi-Hopper Model. Super-Fast Random Walks on Graphs
Fuzzy-based Propagation of Prior Knowledge to Improve Large-Scale Image Analysis Pipelines
Multi-head Reward Aggregation Guided by Entropy
The Importance of Suppressing Domain Style in Authorship Analysis
Differentiable Singular Value Decomposition
Disjoint Multi-task Learning between Heterogeneous Human-centric Tasks
COVID-19 Chest CT Image Segmentation - A Deep Convolutional Neural Network Solution
Pay Attention to Attention Distribution: A New Local Lipschitz Bound for Transformers
A Deforestation of Reducts: Refocusing
How Important are Videos for Training Video LLMs?
Uncertainty-Aware Attention Heads: Efficient Unsupervised Uncertainty Quantification for LLMs
Leveraging universality of jet taggers through transfer learning
Adversarial Testing as a Tool for Interpretability: Length-based Overfitting of Elementary Functions in Transformers
SAR: A Semantic Analysis Approach for Recommendation
Quantum Circuit Equivalence Checking: A Tractable Bridge From Unitary to Hybrid Circuits
A Krylov projection algorithm for large symmetric matrices with dense spectra
Is RL fine-tuning harder than regression? A PDE learning approach for diffusion models
Tackling prediction tasks in relational databases with LLMs
Intelligent Reflecting Surface Based Localization of Mixed Near-Field and Far-Field Targets
Enhanced Fish Freshness Classification with Incremental Handcrafted Feature Fusion
Quantum Key Distribution for Virtual Power Plant Communication: A Lightweight Key-Aware Scheduler with Provable Stability
How Participants Respond to Computer Delays
Electrohydrodynamic interactions of drop pairs
KD-EKF: A Kalman Decomposition Based Extended Kalman Filter for Multi-Robot Cooperative Localization
Game Data Mining Competition on Churn Prediction and Survival Analysis using Commercial Game Log Data
Fairness in Image Search: A Study of Occupational Stereotyping in Image Retrieval and its Debiasing
Specialized Accelerators and Compiler Flows: Replacing Accelerator APIs with a Formal Software/Hardware Interface
Part-based Visual Tracking via Structural Support Correlation Filter
Automatic off-line design of robot swarms: exploring the transferability of control software and design methods across different platforms
Analysing Use of High Privileges in Android Applications
Paraphrasing verbal metonymy through computational methods
Comparing the Moore-Penrose Pseudoinverse and Gradient Descent for Solving Linear Regression Problems: A Performance Analysis
RSHazeDiff: A Unified Fourier-aware Diffusion Model for Remote Sensing Image Dehazing
By chance is not enough: Preserving relative density through non uniform sampling
On the Synergies between Machine Learning and Stereo: a Survey
Second-Order Agents on Ring Digraphs
MulCLIP: A Multi-level Alignment Framework for Enhancing Fine-grained Long-context CLIP
Robust parameter estimation for partially observed second-order diffusion processes
Beamforming on the MISO interference channel with multi-user decoding capability
From Retrieval to Reasoning: A Framework for Cyber Threat Intelligence NER with Explicit and Adaptive Instructions
Locally Differentially Private Federated Learning: Efficient Algorithms with Tight Risk Bounds
Dynamic Logic of Communicating Hybrid Programs
An analysis of the Internet of Things in wireless sensor network technologies
Committee neural network potentials control generalization errors and enable active learning
Capture and Interact: Rapid 3D Object Acquisition and Rendering with Gaussian Splatting in Unity
Multistep Model for Predicting Upper-Limb 3D Isometric Force Application from Pre-Movement Electrocorticographic Features
Reduced-Set Kernel Principal Components Analysis for Improving the Training and Execution Speed of Kernel Machines
Extracting Complex Topology from Multivariate Functional Approximation: Contours, Jacobi Sets, and Ridge-Valley Graphs
Exploring Public's Perception of Safety and Video Surveillance Technology: A Survey Approach
Real-Time MRI Video synthesis from time aligned phonemes with sequence-to-sequence networks
Learning optimally separated class-specific subspace representations using convolutional autoencoder
Formulating and Heuristic Solving of Contact Problems in Hybrid Data-Driven Computational Mechanics
Exploration of Deep Learning Based Recognition for Urdu Text
Is "Compressed Sensing" compressive? Can it beat the Nyquist Sampling Approach?
A 103-TOPS/mm 2 Integrated Photonic Computing Engine Enabling Next-Generation Reservoir Computing
An Introductory Study on the Power Consumption Overhead of ERC-4337 Bundlers
Tibetan Language and AI: A Comprehensive Survey of Resources, Methods and Challenges
Optimizing One Fair Document Exchange Protocol
Enhancing Dimensionality Prediction in Hybrid Metal Halides via Feature Engineering and Class-Imbalance Mitigation
M/D/1 Queues with LIFO and SIRO Policies
Object Depth and Size Estimation using Stereo-vision and Integration with SLAM
Stability of singularly perturbed hybrid systems with restricted systems evolving on boundary layer manifolds
Data-driven Optimization Model for Global Covid-19 Intervention Plans
How do Observable Users Decompose D3 Code? An Exploratory Study
DenoiseRotator: Enhance Pruning Robustness for LLMs via Importance Concentration
Context-Aware Prompt Tuning for Vision-Language Model with Dual-Alignment
On the Uncertain Single-View Depths in Endoscopies
Dynamic Federated Learning Model for Identifying Adversarial Clients
Unified SVM algorithm based LS-DC Loss
Time Series (re)sampling using Generative Adversarial Networks
Multi Sensor Fusion for Navigation and Mapping in Autonomous Vehicles: Accurate Localization in Urban Environments
A New Network Robustness Topology Measure based on Information Theory
Two-Stage Gaussian Splatting Optimization for Outdoor Scene Reconstruction
AI Ethics on Blockchain: Topic Analysis on Twitter Data for Blockchain Security
Using machine learning methods to predict cognitive age from psychophysiological tests
The CAPIO 2017 Conversational Speech Recognition System
Node-Level Financial Optimization in Demand Forecasting Through Dynamic Cost Asymmetry and Feedback Mechanism
Maximum Entropy Reinforcement Learning with Mixture Policies
A Hierarchical Approach to Stability Assessment of Large Scale Interconnected Networks
Inducing Semi-Structured Sparsity by Masking for Efficient Model Inference in Convolutional Networks
Concurrent Density Estimation with Wasserstein Autoencoders: Some Statistical Insights
Optimizing Offshore Wind Integration through Multi-Terminal DC Grids: A Market-Based OPF Framework for the North Sea Interconnectors
Beyond the Voice: Inertial Sensing of Mouth Motion for High Security Speech Verification
COMPACT: COMPositional Atomic-to-Complex Visual Capability Tuning
Testing the Untestable? An Empirical Study on the Testing Process of LLM-Powered Software Systems
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach
Optimizing Ansatz Design in QAOA for Max-cut
End-to-End Deep Learning for Person Search
Understanding Rug Pulls: An In-Depth Behavioral Analysis of Fraudulent NFT Creators
Defining and Measuring Disentanglement for non-Independent Factors of Variation
An Unfolding-Based Semantics for Logic Programming with Aggregates
Continual Person Identification using Footstep-Induced Floor Vibrations on Heterogeneous Floor Structures
Peridynamic modeling for impact failure of wet concrete considering the influence of saturation
Proactive Load Balancing in Heterogeneous Cellular Networks
SINCO: A Novel structural regularizer for image compression using implicit neural representations
Data assimilation performed with robust shape registration and graph neural networks: application to aortic coarctation
Rare anomalies require large datasets: About proving the existence of anomalies
Can We Trust LLMs? Mitigate Overconfidence Bias in LLMs through Knowledge Transfer
Hierarchy of persistence with respect to the length of action's disability
Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations
Multilevel Markov Chain Monte Carlo for Bayesian inverse problems for Navier Stokes equation with Lagrangian Observations
Design of asynchronous supervisors
Towards Improved Model Design for Authorship Identification: A Survey on Writing Style Understanding
Deep learning with transfer functions: new applications in system identification
The Westermo test results data set
Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling
Pearl Causal Hierarchy on Image Data: Intricacies & Challenges
A Study of an Agile Methodology with Scrum Approach to the Filipino Company-Sponsored I.T. Capstone Program
Hard Samples, Bad Labels: Robust Loss Functions That Know When to Back Off
Contrastive-Adversarial and Diffusion: Exploring pre-training and fine-tuning strategies for sulcal identification
SVDM: Single-View Diffusion Model for Pseudo-Stereo 3D Object Detection
Dynamic Disentangled Fusion Network for RGBT Tracking
Enabling Robots to Draw and Tell: Towards Visually Grounded Multimodal Description Generation
NLPMM: a Next Location Predictor with Markov Modeling
Probing the Representational Power of Sparse Autoencoders in Vision Models
Knowledge Isn't Power: The Ethics of Social Robots and the Difficulty of Informed Consent
Dynamics of close relationships for the life-course migration
XL-Editor: Post-editing Sentences with XLNet
Report on "American Option Pricing and Hedging Strategies"
Analysis of Digital Knapsack Based Sealed Bid Auction
The Lazy Student's Dream: ChatGPT Passing an Engineering Course on Its Own
Distribution Statistics and Random Matrix Formalism of Multicarrier Continuous-Variable Quantum Key Distribution
Exploring the Impact of Image Resolution on Chest X-ray Classification Performance
Incremental Classifier Learning Based on PEDCC-Loss and Cosine Distance
Learning-based Detection of GPS Spoofing Attack for Quadrotors
0/1 Deep Neural Networks via Block Coordinate Descent
FRRI: a novel algorithm for fuzzy-rough rule induction
An Experimental Study of Permanently Stored Learned Clauses
SeSDF: Self-evolved Signed Distance Field for Implicit 3D Clothed Human Reconstruction
M3Retrieve: Benchmarking Multimodal Retrieval for Medicine
EAT: Enhanced ASR-TTS for Self-supervised Speech Recognition
On Randomised Strategies in the λ-Calculus (Long Version)
Understanding learned CNN features through Filter Decoding with Substitution
Statistical Software for Psychology: Comparing Development Practices Between CRAN and Other Communities
LLM Driven Processes to Foster Explainable AI
Kolmogorov-Loveland Sets and Advice Complexity Classes
Cross-Layer Protocols for Multimedia Communications over Wireless Networks
Operationalizing AI for Good: Spotlight on Deployment and Integration of AI Models in Humanitarian Work
Unsupervised Document Embedding via Contrastive Augmentation
Forecasting Spoken Language Development in Children with Cochlear Implants Using Preimplantation MRI
Classification of MIMO Equalizers
Towards parallelizable sampling-based Nonlinear Model Predictive Control
Determination of a Small Elliptical Anomaly in Electrical Impedance Tomography using Minimal Measurements
Data generation using simulation technology to improve perception mechanism of autonomous vehicles
A Generative Model of Natural Texture Surrogates
Exploring the Origins and Prevalence of Texture Bias in Convolutional Neural Networks
HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation
Auto-Slides: An Interactive Multi-Agent System for Creating and Customizing Research Presentations
A Linear-Time Algorithm for Finding All Double-Vertex Dominators of a Given Vertex
Decision-Making Amid Information-Based Threats in Sociotechnical Systems: A Review
Indexes in Microsoft SQL Server
Diffusion-Based Electrocardiography Noise Quantification via Anomaly Detection
Universal Normalization Enhanced Graph Representation Learning for Gene Network Prediction
SOS: Synthetic Object Segments Improve Detection, Segmentation, and Grounding
MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training
Waveform and Transceiver Design for Simultaneous Wireless Information and Power Transfer
ResAD++: Towards Class Agnostic Anomaly Detection via Residual Feature Learning
Evaluating Wikipedia as a source of information for disease understanding
Next-ViT: Next Generation Vision Transformer for Efficient Deployment in Realistic Industrial Scenarios
Expressive Quantale-valued Logics for Coalgebras: an Adjunction-based Approach
Beyond Disagreement-based Agnostic Active Learning
Feature Attributions and Counterfactual Explanations Can Be Manipulated
Hierarchical Federated Learning Incentivization for Gas Usage Estimation
From CAD to POMDP: Probabilistic Planning for Robotic Disassembly of End-of-Life Products
REDUCIO! Generating 1024⨉1024 Video within 16 Seconds using Extremely Compressed Motion Latents
MiabNET: Message-in-a-bottle Protocol for MANET
Supervised Compression for Resource-constrained Edge Computing Systems
On adversarial training and the 1 Nearest Neighbor classifier
MAB-Based Channel Scheduling for Asynchronous Federated Learning in Non-Stationary Environments
Persistence Homology of Networks: Methods and Applications
Sentiment Polarity Analysis of Bangla Food Reviews Using Machine and Deep Learning Algorithms
Global random walk solvers for fully coupled flow and transport in saturated/unsaturated porous media (extended version)
A Food Recommender System in Academic Environments Based on Machine Learning Models
Underwater Doppler Navigation with Self-calibration
Vision and Causal Learning Based Channel Estimation for THz Communications
Near-filed SAR Image Restoration with Deep Learning Inverse Technique: A Preliminary Study
On the satisfiability problem for SPARQL patterns
Optimizing Face Recognition Using PCA
Continuous and Resource Managed Regression Testing: An Industrial Use Case
Hybrid European MV-LV Network Models for Smart Distribution Network Modelling
Med-RewardBench: Benchmarking Reward Models and Judges for Medical Multimodal Large Language Models
Scientometrics and the evaluation of European integration
HI-GVF: Shared Control based on Human-Influenced Guiding Vector Fields for Human-multi-robot Cooperation
CAR-LOAM: Color-Assisted Robust LiDAR Odometry and Mapping
Determining Individual Origin Similarity (DInOS): Binary Classification of Authors Using Stylometric Features
Unsupervised Regenerative Learning of Hierarchical Features in Spiking Deep Networks for Object Recognition
Conditional Diffusion Model-Enabled Scenario-Specific Neural Receivers for Superimposed Pilot Schemes
Static and Expanding Grid Coverage with Ant Robots : Complexity Results
Adaptive H&E-IHC information fusion staining framework based on feature extra
LAnoBERT : System Log Anomaly Detection based on BERT Masked Language Model
Exploring the Role of Social Support when Integrating Generative AI into Small Business Workflows
Language-Assisted Human Part Motion Learning for Skeleton-Based Temporal Action Segmentation
Renewables Powered Cellular Networks: Energy Field and Network Coverage
Data-Parallel Neural Network Training via Nonlinearly Preconditioned Trust-Region Method
Hybrid Backpropagation Parallel Reservoir Networks
Uncertainty-Aware Deep Co-training for Semi-supervised Medical Image Segmentation
Recursive Rigid-Body Dynamics Algorithms for Systems with Kinematic Loops
On Dynamics in Selfish Network Creation
PAS-MC: Privacy-preserving Analytics Stream for the Mobile Cloud
Algorithms and Certificates for Boolean CSP Refutation: "Smoothed is no harder than Random"
Fully Distributed Multi-sensor Change-point Detection
SatSynth: Augmenting Image-Mask Pairs through Diffusion Models for Aerial Semantic Segmentation
Colour alignment for relative colour constancy via non-standard references
Predicting performance-related properties of refrigerant based on tailored small-molecule functional group contribution
Enhanced geometry prediction in laser directed energy deposition using meta-learning
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding
RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection
NDD20: A large-scale few-shot dolphin dataset for coarse and fine-grained categorisation
Information-Theoretic Reward Modeling for Stable RLHF: Detecting and Mitigating Reward Hacking
Solving the Uncapacitated Single Allocation p-Hub Median Problem on GPU
Verification of railway interlocking - Compositional approach with OCRA
AIR-Embodied: An Efficient Active 3DGS-based Interaction and Reconstruction Framework with Embodied Large Language Model
Model-Free Incremental Adaptive Dynamic Programming Based Approximate Robust Optimal Regulation
Traffic Profiling for Mobile Video Streaming
An Efficient and Adaptive Next Edit Suggestion Framework with Zero Human Instructions in IDEs
Cheap and Easy Open-Ended Text Input for Interactive Emergent Narrative
A Simply Study to Steganography on Social Networks
Fast training of large kernel models with delayed projections
A Survey on Causal Representation Learning and Future Work for Medical Image Analysis
Made for Each Other: Broad-coverage Semantic Structures Meet Preposition Supersenses
Spectral and combinatorial methods for efficiently computing the rank of unambiguous finite automata
OEMA: Ontology-Enhanced Multi-Agent Collaboration Framework for Zero-Shot Clinical Named Entity Recognition
Can AI Recognize Its Own Reflection? Self-Detection Performance of LLMs in Computing Education
Deciding ω-Regular Properties on Linear Recurrence Sequences
The GDPR Enforcement Fines at Glance
Weighted Schatten $p$-Norm Minimization for Image Denoising with Local and Nonlocal Regularization
Exploring applications of deep reinforcement learning for real-world autonomous driving systems
Acoustic span embeddings for multilingual query-by-example search
Cellular Development Follows the Path of Minimum Action
A Noise-aware Transpiler for Optimal Amplitude Amplification
Explainable Malware Detection through Integrated Graph Reduction and Learning Techniques
Real-time Predictive Analytics for Improving Public Transportation Systems' Resilience
Quantum Private Distributed Learning Through Blind Quantum Computing
Self-Triggered Distributed Model Predictive Control with Synchronization Parameters Interaction
Normalization Is All You Need: Understanding Layer-Normalized Federated Learning under Extreme Label Shift
QoS Provisioning Using Optimal Call Admission Control for Wireless Cellular Networks
SelfReformer: Self-Refined Network with Transformer for Salient Object Detection
Zero-shot Composed Image Retrieval Considering Query-target Relationship Leveraging Masked Image-text Pairs
Improving Simultaneous Translation with Pseudo References
Quantum interactive proofs with short messages
Activités collectives et instrumentation. Étude de pratiques dans l'enseignement supérieur
SPARE: Spiking Networks Acceleration Using CMOS ROM-Embedded RAM as an In-Memory-Computation Primitive