yusuke1997/dblp-id-title huggingface dataset:
Improving behavior based authentication against adversarial attack using XAI
HeadlineCause: A Dataset of News Headlines for Detecting Casualties
GreenEye: Development of Real-Time Traffic Signal Recognition System for Visual Impairments
ICAR: Image-based Complementary Auto Reasoning
How Do Drivers Behave at Roundabouts in a Mixed Traffic? A Case Study Using Machine Learning
Student Reflections on Self-Initiated GenAI Use in HCI Education
SOWA: Adapting Hierarchical Frozen Window Self-Attention to Visual-Language Models for Better Anomaly Detection
Towards Dense People Detection with Deep Learning and Depth images
Breaking Reversibility Accelerates Langevin Dynamics for Global Non-Convex Optimization
Self-Conditioned Generative Adversarial Networks for Image Editing
Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges
Stabilizing Data-Free Model Extraction
Machine Learning Models Have a Supply Chain Problem
On a sequence of Kimberling and its relationship to the Tribonacci word
RB-SQL: A Retrieval-based LLM Framework for Text-to-SQL
Mining Constraints from Reference Process Models for Detecting Best-Practice Violations in Event Log
Efficient Neural Light Fields (ENeLF) for Mobile Devices
Romanian Speech Recognition Experiments from the ROBIN Project
BRAINS: Joint Bandwidth-Relay Allocation in Multi-Homing Cooperative D2D Networks
Context-augmented Retrieval: A Novel Framework for Fast Information Retrieval based Response Generation using Large Language Model
Deep Reinforcement Learning for Joint Cruise Control and Intelligent Data Acquisition in UAVs-Assisted Sensor Networks
Linked Data Science Powered by Knowledge Graphs
In Defense of Clip-based Video Relation Detection
Hijacking Attacks against Neural Networks by Analyzing Training Data
Canonical Number and NutCracker: Heuristic Algorithms for the Graph Isomorphism Problem using Free Energy
Scheduling on identical machines with conflicts to minimize the mean flow time
Dual-task agent for run-time classification and killing of malicious processes
Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models
The Invisible Leash: Why RLVR May Not Escape Its Origin
PIEChain - A Practical Blockchain Interoperability Framework
Low-Quality Image Detection by Hierarchical VAE
Addressing speaker gender bias in large scale speech translation systems
A Modified Fourier-Mellin Approach for Source Device Identification on Stabilized Videos
Comments on "Prediction of Subharmonic Oscillation in Switching Converters Under Different Control Strategies"
Can Large Language Models Bridge the Gap in Environmental Knowledge?
Energy Harvesting in 5G Networks: Taxonomy, Requirements, Challenges, and Future Directions
Improving the accuracy of the fast inverse square root algorithm
Selectivity Estimation of Inequality Joins In Databases
A Review of Brain-Computer Interface Technologies: Signal Acquisition Methods and Interaction Paradigms
Xoxa: a lightweight approach to normalizing and signing XML
The EuroCity Persons Dataset: A Novel Benchmark for Object Detection
Solving Graph Coloring Problems with Abstraction and Symmetry: the Ramsey Number R(4, 3, 3)=30
APE-then-QE: Correcting then Filtering Pseudo Parallel Corpora for MT Training Data Creation
A Maturity Model for Urban Dataset Meta-data
Entity-Aware Self-Attention and Contextualized GCN for Enhanced Relation Extraction in Long Sentences
Efficient Embedding of MPI Collectives in MXNET DAGs for scaling Deep Learning
Rethinking Sketching as Sampling: A Graph Signal Processing Approach
Majority Voting and the Condorcet's Jury Theorem
Prototyping Theories with ChatGPT: Experiment with the Technology Acceptance Model
SVSHI: Secure and Verified Smart Home Infrastructure
Watchdog-LEACH: A new method based on LEACH protocol to Secure Clustered Wireless Sensor Networks
Converging High-Throughput and High-Performance Computing: A Case Study
BUOL: A Bottom-Up Framework with Occupancy-aware Lifting for Panoptic 3D Scene Reconstruction From A Single Image
A Dataset for Distilling Knowledge Priors from Literature for Therapeutic Design
Cascading: Association Augmented Sequential Recommendation
Flat minima generalize for low-rank matrix recovery
Brain tumour segmentation using a triplanar ensemble of U-Nets
Seeing More with Less: Video Capsule Endoscopy with Multi-Task Learning
Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering
NaijaNER : Comprehensive Named Entity Recognition for 5 Nigerian Languages
Towards Cross-device and Training-free Robotic Grasping in 3D Open World
Image Inpainting Using Sparsity of the Transform Domain
Semantic Alignment of Unimodal Medical Text and Vision Representations
Impact of Sampling Techniques and Data Leakage on XGBoost Performance in Credit Card Fraud Detection
Segment-Sliding Reconstruction of Pulsed Radar Echoes with Sub-Nyquist Sampling
Exploratory Analysis of Highly Heterogeneous Document Collections
Balanced norm estimates for rp-Finite Element Methods applied to singularly perturbed fourth order boundary value problems
Uncertainty-aware Active Learning of NeRF-based Object Models for Robot Manipulators using Visual and Re-orientation Actions
Detecting Anemia from Retinal Fundus Images
Normalized Radon Cumulative Distribution Transforms for Invariance and Robustness in Optimal Transport Based Image Classification
CRAFT: Training-Free Cascaded Retrieval for Tabular QA
Canonical Representations of Markovian Structural Causal Models: A Framework for Counterfactual Reasoning
Toric geometry of ReLU neural networks
Detection of Lying Electrical Vehicles in Charging Coordination Application Using Deep Learning
MPC-Minimized Secure LLM Inference
Few Shot Semantic Segmentation: a review of methodologies and open challenges
Exploring Microtask Crowdsourcing as a Means of Fault Localization
Small Towns, Big Questions: Methodological Insights into Use Case Selection for Digital Twins in Small Towns
Combinatorial Keyword Recommendations for Sponsored Search with Deep Reinforcement Learning
Large Code Base Change Ripple Management in C++: My thoughts on how a new Boost C++ Library could help
Automated Tensor Model Parallelism with Overlapped Communication for Efficient Foundation Model Training
Efficient Primal-Dual Algorithms for Large-Scale Multiclass Classification
A Review of Meta-level Learning in the Context of Multi-component, Multi-level Evolving Prediction Systems
Branched Schrödinger Bridge Matching
A Simple Data Augmentation Strategy for Text-in-Image Scientific VQA
Linear regression analysis of template aging in iris biometrics
Quality at the Tail
Dependency-aware Attention Control for Unconstrained Face Recognition with Image Sets
Nash Equilibria in certain two-choice multi-player games played on the ladder graph
DCSI - An improved measure of cluster separability based on separation and connectedness
Fine-Tuning Pre-trained Language Models to Detect In-Game Trash Talks
White Paper on Critical and Massive Machine Type Communication Towards 6G
Neuromorphic Control
On the sensitivity of pose estimation neural networks: rotation parameterizations, Lipschitz constants, and provable bounds
At First Sight: Zero-Shot Classification of Astronomical Images with Large Multimodal Models
Data mining and analysis of scientific research data records on Covid 19 mortality, immunity, and vaccine development in the first wave of the Covid 19 pandemic
Global-Context Neural Machine Translation through Target-Side Attentive Residual Connections
Enhanced Behavioral Cloning with Environmental Losses for Self-Driving Vehicles
Disarranged Zone Learning (DZL): An unsupervised and dynamic automatic stenosis recognition methodology based on coronary angiography
Block Chain and Internet of Nano-Things for Optimizing Chemical Sensing in Smart Farming
Representability of the Direct Sum of q-Matroids
All-Chalcogenide Programmable All-Optical Deep Neural Networks
Longitudinal Analysis of Heart Rate and Physical Activity Collected from Smartwatches
TimeRL: Efficient Deep Reinforcement Learning with Polyhedral Dependence Graphs
Towards Scale-Aware Full Surround Monodepth with Transformers
Attention Mechanism Based Intelligent Channel Feedback for mmWave Massive MIMO Systems
Enabling High-Performance and Energy-Efficient Hybrid Transactional/Analytical Databases with Hardware/Software Cooperation
Fast classical simulation of qubit-qudit hybrid systems
Accelerating Computer Architecture Simulation through Machine Learning
CoLD: Counterfactually-Guided Length Debiasing for Process Reward Models
Computing Minimum Weight Cycles to Leverage Mispricings in Cryptocurrency Market Networks
[Draft] High-order observers and high-order state-estimation-based properties of discrete-event systems
Recent Developments in Structure-Based Virtual Screening Approaches
FlowEO: Generative Unsupervised Domain Adaptation for Earth Observation
Recipes for Pre-training LLMs with MXFP8
Conformal Correction for Efficiency May be at Odds with Entropy
Multiscale Planar Graph Generation
Popular SQL Server Database Encryption Choices
Adversarial attacks on voter model dynamics in complex networks
VQ-AR: Vector Quantized Autoregressive Probabilistic Time Series Forecasting
Unbiased Multi-Modality Guidance for Image Inpainting
Improved Space-efficient Linear Time Algorithms for Some Classical Graph Problems
Swarm Modelling with Dynamic Mode Decomposition
LoLa: Low-Latency Realtime Video Conferencing over Multiple Cellular Carriers
HipyrNet: Hypernet-Guided Feature Pyramid network for mixed-exposure correction
Domain Generalization using Pretrained Models without Fine-tuning
Operational thermal load forecasting in district heating networks using machine learning and expert advice
Contraction-based Tracking Control of Electromechanical Systems
Faster GPU Based Genetic Programming Using A Two Dimensional Stack
From a set of parts to an indivisible whole. Part I: Operations in a closed mode
Unmixing of Hyperspectral Data Using Robust Statistics-based NMF
Graph Homomorphism Reconfiguration and Frozen H-Colourings
How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks
Trust, Accountability, and Autonomy in Knowledge Graph-based AI for Self-determination
MuA-Ori: Multimodal Actuated Origami
Automatic Authoring of Physical and Perceptual/Affective Motion Effects for Virtual Reality
A Survey of Ad Hoc Teamwork: Definitions, Methods, and Open Problems
Exploring the Sensory Spaces of English Perceptual Verbs in Natural Language Data
VulCoCo: A Simple Yet Effective Method for Detecting Vulnerable Code Clones
Convergence and Privacy of Decentralized Nonconvex Optimization with Gradient Clipping and Communication Compression
Scalable3-BO: Big Data meets HPC - A scalable asynchronous parallel high-dimensional Bayesian optimization framework on supercomputers
NexusFlow: Unifying Disparate Tasks under Partial Supervision via Invertible Flow Networks
Understanding Code Snippets in Code Reviews: A Preliminary Study of the OpenStack Community
A Low-Order Dynamic Model of Counterflow Heat Exchangers for the Purpose of Monitoring Transient and Steady-State Operating Phases
"Don't Teach Minerva": Guiding LLMs Through Complex Syntax for Faithful Latin Translation with RAG
Home Spaces and Semiflows for the Analysis of Parameterized Petri Nets
Beyond Attention: Investigating the Threshold Where Objective Robot Exclusion Becomes Subjective
A Grounded Theory of the Role of Coordination in Software Security Patch Management
Enabling Embedded Inference Engine with ARM Compute Library: A Case Study
Finding undetected protein associations in cell signaling by belief propagation
TSC-PCAC: Voxel Transformer and Sparse Convolution Based Point Cloud Attribute Compression for 3D Broadcasting
Residual and Attentional Architectures for Vector-Symbols
Analysis of COVID-19 in Japan with Extended SEIR model and ensemble Kalman filter
The Dimension of Subcode-Subfields of Shortened Generalized Reed Solomon Codes
Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Embedded Inference
Understanding Training-Data Leakage from Gradients in Neural Networks for Image Classification
Towards Regret Free Slot Allocation in Billboard Advertisement
Deep Reinforcement Learning for Asset Allocation: Reward Clipping
Reinforcing Multimodal Understanding and Generation with Dual Self-rewards
Monitoring the Impact of Wildfires on Tree Species with Deep Learning
GEC: A Unified Framework for Interactive Decision Making in MDP, POMDP, and Beyond
PhishVQC: Optimizing Phishing URL Detection with Correlation Based Feature Selection and Variational Quantum Classifier
A Technical Report for Polyglot-Ko: Open-Source Large-Scale Korean Language Models
V-MAGE: A Game Evaluation Framework for Assessing Visual-Centric Capabilities in Multimodal Large Language Models
Codeless Screen-Oriented Programming for Enterprise Mobile Applications
Planning with Large Language Models via Corrective Re-prompting
AgentFL: Scaling LLM-based Fault Localization to Project-Level Context
Approaches to Identify Vulnerabilities to Misinformation: A Research Agenda
Proceedings of the 20th International Conference on Knowledge, Information and Creativity Support Systems (KICSS 2025)
Evading Malware Classifiers via Monte Carlo Mutant Feature Discovery
RMQFMU: Bridging the Real World with Co-simulation Technical Report
Interactive-Rate Supervisory Control for Arbitrarily-Routed Multi-Tendon Robots via Motion Planning
Latency Analysis of Multiple Classes of AVB Traffic in TSN with Standard Credit Behavior using Network Calculus
A Novel CMB Component Separation Method: Hierarchical Generalized Morphological Component Analysis
Replacing Automatic Differentiation by Sobolev Cubatures fastens Physics Informed Neural Nets and strengthens their Approximation Power
Optimal Fixed-Budget Best Arm Identification using the Augmented Inverse Probability Weighting Estimator in Two-Armed Gaussian Bandits with Unknown Variances
Predicting Surface Heat Flux on Complex Systems via Conv-LSTM
Negotiation Games
AIVIO: Closed-loop, Object-relative Navigation of UAVs with AI-aided Visual Inertial Odometry
Optimal induced universal graphs and adjacency labeling for trees
Analytically Computation of Sensitivity Coefficients in Hybrid AC/DC Micro-Grid
Defense semantics of argumentation: revisit
Glance-MCMT: A General MCMT Framework with Glance Initialization and Progressive Association
Improving the Accuracy and Consistency of the Scalar Auxiliary Variable (SAV) Method with Relaxation
Utilizing Evidence Spans via Sequence-Level Contrastive Learning for Long-Context Question Answering
Development and Adaptation of Robotic Vision in the Real-World: the Challenge of Door Detection
FairCode: Evaluating Social Bias of LLMs in Code Generation
Variational obstacle avoidance problem on Riemannian manifolds
Bid Optimization in Broad-Match Ad Auctions
Lookahead-Bounded Q-Learning
Temporal Clustering of Disorder Events During the COVID-19 Pandemic
A tight Monte-Carlo algorithm for Steiner Tree parameterized by clique-width
Cross-task pre-training for acoustic scene classification
Generated Contents Enrichment
Recent advances in artificial intelligence for retrosynthesis
Large-Batch, Neural Multi-Objective Bayesian Optimization
Mejora de la exploracion y la explotacion de las heuristicas constructivas para el MLSTP
Texture Synthesis Through Convolutional Neural Networks and Spectrum Constraints
Improved Biomedical Word Embeddings in the Transformer Era
Hardness Results on Characteristics for Elastic-Degenerated Strings
Kernel Graph Attention Network for Fact Verification
RPRG: Toward Real-time Robotic Perception, Reasoning and Grasping with One Multi-task Convolutional Neural Network
DETONATE: A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization
Potential of deep features for opinion-unaware, distortion-unaware, no-reference image quality assessment
FMaMIL: Frequency-Driven Mamba Multi-Instance Learning for Weakly Supervised Lesion Segmentation in Medical Images
GPU-accelerated discontinuous Galerkin methods on polytopic meshes
Disclosure and Mitigation of Gender Bias in LLMs
Imitation and Mirror Systems in Robots through Deep Modality Blending Networks
Trust Me, I Can Convince You: The Contextualized Argument Appraisal Framework
Uncertainty of Network Topology with Applications to Out-of-Distribution Detection
EMF: Event Meta Formers for Event-based Real-time Traffic Object Detection
The Bid Picture: Auction-Inspired Multi-player Generative Adversarial Networks Training
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review
Mathematical model of a remotely controlled skid-slip tracked mobile robot
Facilitating Video Story Interaction with Multi-Agent Collaborative System
Improving DeFi Mechanisms with Dynamic Games and Optimal Control: A Case Study in Stablecoins
Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs
Looking Beyond Language Priors: Enhancing Visual Comprehension and Attention in Multimodal Models
E2E-GRec: An End-to-End Joint Training Framework for Graph Neural Networks and Recommender Systems
A Brief Introduction to Generative Models
The Loss Surfaces of Neural Networks with General Activation Functions
A Point-free Perspective on Lax extensions and Predicate liftings
CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space
HDGlyph: A Hierarchical Disentangled Glyph-Based Framework for Long-Tail Text Rendering in Diffusion Models
Fast and Robust Point Containment Queries on Trimmed Surface
An efficient and effective Decentralized Anonymous Voting System
The Micro-Randomized Trial for Developing Digital Interventions: Experimental Design Considerations
Questioning Biases in Case Judgment Summaries: Legal Datasets or Large Language Models?
Network Flows Under Thermal Restrictions
What is fair? Exploring the artists' perspective on the fairness of music streaming platforms
Safe-LLaVA: A Privacy-Preserving Vision-Language Dataset and Benchmark for Biometric Safety
End-to-End Integration of a Convolutional Network, Deformable Parts Model and Non-Maximum Suppression
Are you wearing a mask? Improving mask detection from speech using augmentation by cycle-consistent GANs
Efficient mesh management in Firedrake using PETSc-DMPlex
A sublinear time quantum algorithm for s-t minimum cut on dense simple graphs
Deep learning based fence segmentation and removal from an image using a video sequence
Macroscopic Control of Text Generation for Image Captioning
MsSVT++: Mixed-scale Sparse Voxel Transformer with Center Voting for 3D Object Detection
Parameter Identification and Motion Control for Articulated Rigid Body Robots Using Differentiable Position-based Dynamics
Undecidability of Translational Tiling of the Plane with Orthogonally Convex Polyominoes
NGP-RT: Fusing Multi-Level Hash Features with Lightweight Attention for Real-Time Novel View Synthesis
A Novel RL-assisted Deep Learning Framework for Task-informative Signals Selection and Classification for Spontaneous BCIs
QA2Explanation: Generating and Evaluating Explanations for Question Answering Systems over Knowledge Graph
Algebraic independence of (cyclotomic) harmonic sums
Training deep cross-modality conversion models with a small amount of data and its application to MVCT to kVCT conversion
A real-time metric of online engagement monitoring
Evolutionary Dynamics of Scientific Collaboration Networks: Multi-Levels and Cross-time Analysis
Tapping into the Natural Language System with Artificial Languages when Learning Programming
A Comparison with two semantic sensor data storages in total data transmission
From Black-Scholes to Online Learning: Dynamic Hedging under Adversarial Environments
Partitions of Matrix Spaces With an Application to q-Rook Polynomials
On the Secrecy of Publicly Observable Biometric Features: Security Properties of Gait for Mobile Device Pairing
Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-modal Knowledge Transfer
Vision-Language-Action Models for Autonomous Driving: Past, Present, and Future
Study of a Hybrid Photovoltaic-Wind Smart Microgrid using Data Science Approach
Proximal Quasi-Newton Methods for Convex Optimization
Tensor-based reduction of linear parameter-varying state-space models
FSPN: A New Class of Probabilistic Graphical Model
Vision-Based Road Detection using Contextual Blocks
#945;-Divergence Loss Function for Neural Density Ratio Estimation
A 106K Multi-Topic Multilingual Conversational User Dataset with Emoticons
XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units
Multi-hierarchical Convolutional Network for Efficient Remote Photoplethysmograph Signal and Heart Rate Estimation from Face Video Clips
A General Anchor-Based Framework for Scalable Fair Clustering
Learning mental states estimation through self-observation: a developmental synergy between intentions and beliefs representations in a deep-learning model of Theory of Mind
Lyapunov-like functions for attitude control via feedback integrators
Learning Deep Representation with Energy-Based Self-Expressiveness for Subspace Clustering
Minimax Active Learning
Using Convex Optimization of Autocorrelation with Constrained Support and Windowing for Improved Phase Retrieval Accuracy
Real-Time Object Detection and Recognition on Low-Compute Humanoid Robots using Deep Learning
Geophysics-informed neural network for model-based seismic inversion using surrogate point spread functions
Automated generation of attack trees with optimal shape and labelling
Can questions summarize a corpus? Using question generation for characterizing COVID-19 research
Uncertainty of Atmospheric Motion Vectors by Sampling Tempered Posterior Distributions
Convergence analysis of BDDC preconditioners for hybrid DG discretizations of the cardiac cell-by-cell model
Observer-Based Consensus of Nonlinear Positive Multi-Agent Systems with Saturated Control Input
Revisiting 3D ResNets for Video Recognition
Numerical stability of force-gradient integrators and their Hessian-free variants in lattice QCD simulations
Discrete Simulation Optimization for Tuning Machine Learning Method Hyperparameters
Minimal-memory realization of pearl-necklace encoders of general quantum convolutional codes
Social Status and Communication Behavior in an Evolving Social Network
Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-smoothness in Deep GNNs
Sequence Length Scaling in Vision Transformers for Scientific Images on Frontier
Fine-tuning Diffusion Policies with Backpropagation Through Diffusion Timesteps
TanhSoft - a family of activation functions combining Tanh and Softplus
Shape-Dependent Multi-Weight Magnetic Artificial Synapses for Neuromorphic Computing
Solving the signed Roman domination and signed total Roman domination problems with exact and heuristic methods
Balancing Autonomy and Alignment: A Multi-Dimensional Taxonomy for Autonomous LLM-powered Multi-Agent Architectures
Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models
Internet of Things (IoT) and New Computing Paradigms
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System
BDD4BNN: A BDD-based Quantitative Analysis Framework for Binarized Neural Networks
Energon: Towards Efficient Acceleration of Transformers Using Dynamic Sparse Attention
From Specificity to Generality: Revisiting Generalizable Artifacts in Detecting Face Deepfakes
Long-Term Benefits for Renewables Integration of Network Boosters for Corrective Grid Security
Blind quantum machine learning with quantum bipartite correlator
Who Sets the Agenda on Social Media? Ideology and Polarization in Online Debates
A fair pricing model via adversarial learning
PSM: Prompt Sensitivity Minimization via LLM-Guided Black-Box Optimization
Throughput Maximization for Wireless Communication systems with Backscatter- and Cache-assisted UAV Technology
Global and Local Entailment Learning for Natural World Imagery
Safe Text-to-Image Generation: Simply Sanitize the Prompt Embedding