yusuke1997/dblp-id-title huggingface dataset:
Securing U.S. Critical Infrastructure: Lessons from Stuxnet and the Ukraine Power Grid Attacks
Multi-class real-time crash risk forecasting using convolutional neural network: Istanbul case study
Conditional Consistency Guided Image Translation and Enhancement
A Comedy of Estimators: On KL Regularization in RL Training of LLMs
Refactoring with LLMs: Bridging Human Expertise and Machine Understanding
Style-Aware Blending and Prototype-Based Cross-Contrast Consistency for Semi-Supervised Medical Image Segmentation
Dynamic Uplink/Downlink Resource Management in Flexible Duplex-Enabled Wireless Networks
Analysis of cost-efficiency of serverless approaches
Topology-driven identification of repetitions in multi-variate time series
Measuring the originality of intellectual property assets based on machine learning outputs
Reward-RAG: Enhancing RAG with Reward Driven Supervision
Adaptive Dual-Mode Distillation with Incentive Schemes for Scalable, Heterogeneous Federated Learning on Non-IID Data
Disambiguation-Centric Finetuning Makes Enterprise Tool-Calling LLMs More Realistic and Less Risky
Electric Vehicle Driver Clustering using Statistical Model and Machine Learning
Graph Transformers for Large Graphs
Fix your Models by Fixing your Datasets
Dihedral multi-reference alignment
An open unified deep graph learning framework for discovering drug leads
Writing as a testbed for open ended agents
Fundamental work costs of preparation and erasure in the presence of quantum side information
Analytical Aircraft State and IMU Signal Generator from Smoothed Reference Trajectory
Heterogeneous Recovery Rates against SIS Epidemics in Directed Networks
Topic Model Supervised by Understanding Map
Interpretability by Design for Efficient Multi-Objective Reinforcement Learning
Persistent Homology in 𝓁 ∞ Metric
Identifying Root Cause of bugs by Capturing Changed Code Lines with Relational Graph Neural Networks
USPR: Learning a Unified Solver for Profiled Routing
Large-Scale Paralleled Sparse Principal Component Analysis
Generalized ADMM in Distributed Learning via Variational Inequality
StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis
Photonic next-generation reservoir computer based on distributed feedback in optical fiber
Artificial Intellgence - Application in Life Sciences and Beyond. The Upper Rhine Artificial Intelligence Symposium UR-AI 2021
Towards Fast, Flexible and Sensor-Free Control of Standalone PVDG Systems
A classification for the performance of online SGD for high-dimensional inference
Speculative Ad-hoc Querying
Tiled sparse coding in eigenspaces for the COVID-19 diagnosis in chest X-ray images
Big-Stop Semantics: A Simple Way to Get the Benefits of Small-Step Semantics in a Big-Step Judgment
Alternative Spreadsheet Model Designs for an Operations Management Model Embedded in a Periodic Business Process
Complementary-Similarity Learning using Quadruplet Network
Rotational Multi-material 3D Printing of Soft Robotic Matter with Asymmetrical Embedded Pneumatics
Performance Analysis of UNet and Variants for Medical Image Segmentation
AnnoDPO: Protein Functional Annotation Learning with Direct Preference Optimization
Acyclic Edge coloring of Planar Graphs
Prioritized Unit Propagation with Periodic Resetting is (Almost) All You Need for Random SAT Solving
Complex Network Analysis of a Graphic Novel: The Case of the Bande Dessinée Thorgal
Critical independent sets and Konig-Egervary graphs
Encoding and Reasoning About Arrays in Set Theory
Adversarial Image Alignment and Interpolation
Rethinking Consistent Multi-Label Classification under Inexact Supervision
On Text Style Transfer via Style Masked Language Models
Improving motor imagery decoding methods for an EEG-based mobile brain-computer interface in the context of the 2024 Cybathlon
Hardware Abstractions and Hardware Mechanisms to Support Multi-Task Execution on Coarse-Grained Reconfigurable Arrays
A Fresh Look at the Architecture and Performance of Contemporary Isolation Platforms
Review of Hallucination Understanding in Large Language and Vision Models
Do We Need to Compensate for Motion Distortion and Doppler Effects in Radar-Based Navigation?
Generalized Proof-Number Monte-Carlo Tree Search
Energy-Efficient Blockchain-enabled User-Centric Mobile Edge Computing
Symplectic Gaussian Process Dynamics
A Matching Technique in Example-Based Machine Translation
Enhanced Antenna Position Implementation Over Vehicular Ad Hoc Network (VNET) In 3D Space
Reconciling Hessian-Informed Acceleration and Scalar-Only Communication for Efficient Federated Zeroth-Order Fine-Tuning
The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence
Stack Transformer Based Spatial-Temporal Attention Model for Dynamic Multi-Culture Sign Language Recognition
A curvature and density-based generative representation of shapes
Nonlinear System Identification for Model-Based Control of Waked Wind Turbines
Large-scale and Efficient Texture Mapping Algorithm via Loopy Belief Propagation
Neural Style Transfer for Audio Spectograms
Robust finite element methods and solvers for the Biot-Brinkman equations in vorticity form
LLM-Based Bot Broadens the Range of Arguments in Online Discussions, Even When Transparently Disclosed as AI
Vehicle Routing Problems via Quantum Graph Attention Network Deep Reinforcement Learning
Privacy-preserving Logistic Regression with Secret Sharing
Design of an ultrasound-guided robotic brachytherapy needle insertion system
Optimal Beamforming and Time Allocation for Partially Wireless Powered Sensor Networks with Downlink SWIPT
A Leap-on-Success Exhaustive Search Method to Find Optimal Robust Minimum Redundancy Arrays (RMRAs): New Array Configurations for Sensor Counts 11 to 20
Towards a Resilient Information System for Agriculture Extension Information Service: An Exploratory Study
Stateful protocol fuzzing with statemap-based reverse state selection
Measurement and applications of position bias in a marketplace search engine
BEACON: A Unified Behavioral-Tactical Framework for Explainable Cybercrime Analysis with Large Language Models
Link Prediction via Matrix Completion
Crypto-ransomware Detection through Quantitative API-based Behavioral Profiling
C5T5: Controllable Generation of Organic Molecules with Transformers
IMTS is Worth Time ⨉ Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction
Multitask Learning for Fundamental Frequency Estimation in Music
Multimodal Sensing for Robot-Assisted Sub-Tissue Feature Detection in Physiotherapy Palpation
System Design in the Era of IoT - Meeting the Autonomy Challenge
Joint Spatial Division and Multiplexing for FDD in Intelligent Reflecting Surface-assisted Massive MIMO Systems
Towards Multilingual Transitivity and Bidirectional Multilingual Agreement for Multilingual Document-level Machine Translation
Detecting Machine-Generated Texts: Not Just "AI vs Humans" and Explainability is Complicated
If an LLM Were a Character, Would It Know Its Own Story? Evaluating Lifelong Learning in LLMs
Knowing What to Listen to: Early Attention for Deep Speech Representation Learning
Perfect Matchings via Uniform Sampling in Regular Bipartite Graphs
Comparing Fifty Natural Languages and Twelve Genetic Languages Using Word Embedding Language Divergence (WELD) as a Quantitative Measure of Language Distance
VLM-Guard: Safeguarding Vision-Language Models via Fulfilling Safety Alignment Gap
Supervised classification for object identification in urban areas using satellite imagery
Assessing the Usability of a Novel System for Programming Education
Exploring Gender Biases in Language Patterns of Human-Conversational Agent Conversations
Software Cloning in Extreme Programming Environment
Disagreement as a way to study misinformation and its effects
SLAM based Quasi Dense Reconstruction For Minimally Invasive Surgery Scenes
Quantified Conditional Logics are Fragments of HOL
Synthesizing Soundscapes: Leveraging Text-to-Audio Models for Environmental Sound Classification
Private Quantiles Estimation in the Presence of Atoms
Communications, Caching and Computing for Mobile Virtual Reality: Modeling and Tradeoff
Collaborative Goal Tracking of Multiple Mobile Robots Based on Geometric Graph Neural Network
Procedural Puzzle Challenge Generation in Fujisan
Meta-Learning Mini-Batch Risk Functionals
BeSTAD: Behavior-Aware Spatio-Temporal Anomaly Detection for Human Mobility Data
Mobile-Agent-RAG: Driving Smart Multi-Agent Coordination with Contextual Knowledge Empowerment for Long-Horizon Mobile Automation
Boundless: Generating Photorealistic Synthetic Data for Object Detection in Urban Streetscapes
From Cyber Threat to Data Shield: Constructing Provably Secure File Erasure with Repurposed Ransomware Cryptography
Compliance Brain Assistant: Conversational Agentic AI for Assisting Compliance Tasks in Enterprise Environments
Neural-Symbolic VideoQA: Learning Compositional Spatio-Temporal Reasoning for Real-world Video Question Answering
A Micro-foundation of Social Capital in Evolving Social Networks
EM-driven unsupervised learning for efficient motion segmentation
Skeleton Regression: A Graph-Based Approach to Estimation with Manifold Structure
Bounding the State Covariance Matrix for a Randomly Switching Linear System with Noise
A Tactical Behaviour Recognition Framework Based on Causal Multimodal Reasoning: A Study on Covert Audio-Video Analysis Combining GAN Structure Enhancement and Phonetic Accent Modelling
Stronger Calibration Lower Bounds via Sidestepping
Solving MAX-2-SAT Above a Tight Lower Bound
Accelerated Gradient Flow: Risk, Stability, and Implicit Regularization
Constacyclic symbol-pair codes: lower bounds and optimal constructions
Vision Large Language Models Are Good Noise Handlers in Engagement Analysis
Representation Learning by Ranking under multiple tasks
Cyber-Virtual Systems: Simulation, Validation & Visualization
Evolving Genetic Programming Tree Models for Predicting the Mechanical Properties of Green Fibers for Better Biocomposite Materials
SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs
MoEC: Mixture of Experts Implicit Neural Compression
The Tower of Babel Revisited: Multilingual Jailbreak Prompts on Closed-Source Large Language Models
Closed-Form Expressions for I/O Relation in Zak-OTFS with Different Delay-Doppler Filters
SoK: Honeypots & LLMs, More Than the Sum of Their Parts?
A Python Framework for SPICE Circuit Simulation of In-Memory Analog Computing Circuits
The Stated Protocol: A Decentralized Framework for Digital Diplomacy
A Doubly Regularized Linear Discriminant Analysis Classifier with Automatic Parameter Selection
VL-GPT: A Generative Pre-trained Transformer for Vision and Language Understanding and Generation
Transport based Graph Kernels
MeRF: Motivation-enhanced Reinforcement Finetuning for Large Reasoning Models
A Crossover That Matches Diverse Parents Together in Evolutionary Algorithms
Societal, Economic, Ethical and Legal Challenges of the Digital Revolution: From Big Data to Deep Learning, Artificial Intelligence, and Manipulative Technologies
Coupling approaches with non-matching grids for classical linear elasticity and bond-based peridynamic models in 1D
A Distance-based Paraconsistent Semantics in DL-Lite
GMMLoc: Structure Consistent Visual Localization with Gaussian Mixture Models
Inverse LDM' and LU Factorizations of a Partitioned Matrix with the Square-root and Division Free Version for V-BLAST
Is a Green Screen Really Necessary for Real-Time Portrait Matting?
Morpho-Genomic Deep Learning for Ovarian Cancer Subtype and Gene Mutation Prediction from Histopathology
Using Arabic Wordnet for semantic indexation in information retrieval system
Energy-efficient PON-based Backhaul Connectivity for a VLC-enabled Indoor Fog Computing Environment
Investigating Literary Motifs in Ancient and Medieval Novels with Large Language Models
Learned Image Downscaling for Upscaling using Content Adaptive Resampler
3C Resources Joint Allocation for Time-Deterministic Remote Sensing Image Backhaul in the Space-Ground Integrated Network
Near-Efficient and Non-Asymptotic Multiway Inference
A Proof-of-Concept for Explainable Disease Diagnosis Using Large Language Models and Answer Set Programming
An Empirical Comparison of Deep Learning Models for Knowledge Tracing on Large-Scale Dataset
PVMark: Enabling Public Verifiability for LLM Watermarking Schemes
An empirical model for feedforward control of laser powder bed fusion
GraCT: A Grammar based Compressed representation of Trajectories
Hierarchical Context Enhanced Multi-Domain Dialogue System for Multi-domain Task Completion
Deep Reinforcement Learning for Sequential Combinatorial Auctions
On Female Audience Sending Virtual Gifts to Male Streamers on Douyin
Hypernetworks for Generalizable BRDF Estimation
Cluster Purge Loss: Structuring Transformer Embeddings for Equivalent Mutants Detection
Research Scholar Interest Mining Method based on Load Centrality
Code Generation for Near-Roofline Finite Element Actions on GPUs from Symbolic Variational Forms
On Riemannian Projection-free Online Learning
From Individuals to Interactions: Benchmarking Gender Bias in Multimodal Large Language Models from the Lens of Social Relationship
Robot Tactile Gesture Recognition Based on Full-body Modular E-skin
Transfer Learning for Low-Resource Chinese Word Segmentation with a Novel Neural Network
Rapid AIdeation: Generating Ideas With the Self and in Collaboration With Large Language Models
ClaSP - Parameter-free Time Series Segmentation
Inference rules for RDF(S) and OWL in N3Logic
Entropy Message Passing Algorithm
Saturation and vanishing ideals
HD-CNN: Hierarchical Deep Convolutional Neural Network for Image Classification
Serenade: A Model for Human-in-the-loop Automatic Chord Estimation
Hyperspectral classification of blood-like substances using machine learning methods combined with genetic algorithms in transductive and inductive scenarios
A Practical and Online Trajectory Planner for Autonomous Ships' Berthing, Incorporating Speed Control
Beat the long tail: Distribution-Aware Speculative Decoding for RL Training
The Adoption and Usage of AI Agents: Early Evidence from Perplexity
Benchmarking MedMNIST dataset on real quantum hardware
Beyond Simple Edits: Composed Video Retrieval with Dense Modifications
Shape enumerators of self-dual NRT codes over finite fields
Usage Management of Personal Health Records
Extending a Parliamentary Corpus with MPs' Tweets: Automatic Annotation and Evaluation Using MultiParTweet
Deep Polarimetric HDR Reconstruction
PND-Net: Plant Nutrition Deficiency and Disease Classification using Graph Convolutional Network
L1-regularized Reconstruction Error as Alpha Matte
Fast image-based obstacle detection from unmanned surface vehicles
SwordRiding: A Unified Navigation Framework for Quadrotors in Unknown Complex Environments via Online Guiding Vector Fields
Head and Tail Localization of C. elegans
On the Length of Strongly Monotone Descending Chains over N d
Quantifying community evolves in temporal networks
Optimizing alphabet reduction pairs of arrays
A Little More Like This: Text-to-Image Retrieval with Vision-Language Models Using Relevance Feedback
A New Analysis of Variance Reduced Stochastic Proximal Methods for Composite Optimization with Serial and Asynchronous Realizations
Deep Learning-Based Communication Over the Air
Large deviations in stochastic dynamics over graphs through Matrix Product Belief Propagation
Two Deep Learning Solutions for Automatic Blurring of Faces in Videos
Knowledge Elecitation for Factors Affecting Taskforce Productivity using a Questionnaire
Copula-Based Bounds for Multi-User Communications - Part II: Outage Performance
Planar graphs as L-intersection or L-contact graphs
Comparative Analysis of Barrier-like Function Methods for Reach-Avoid Verification in Stochastic Discrete-Time Systems
"Task-relevant autoencoding" enhances machine learning for human neuroscience
EMCNet : Graph-Nets for Electron Micrographs Classification
Grade Like a Human: Rethinking Automated Assessment with Large Language Models
Constructing hypergraphs from temporal data
Study of Emotion Concept Formation by Integrating Vision, Physiology, and Word Information using Multilayered Multimodal Latent Dirichlet Allocation
On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial
Unsupervised Document and Template Clustering using Multimodal Embeddings
Analysis of the Conradi-Kahle Algorithm for Detecting Binomiality on Biological Models
Combating Fake News with Interpretable News Feed Algorithm
Group Think: Multiple Concurrent Reasoning Agents Collaborating at Token Level Granularity
Modelling the longevity of complex living systems
Upper Bounds for Learning in Reproducing Kernel Hilbert Spaces for Orbits of an Iterated Function System
Multimodal Story Generation on Plural Images
Two-View Topogram-Based Anatomy-Guided CT Reconstruction for Prospective Risk Minimization
Implicit-explicit Integrated Representations for Multi-view Video Compression
Change of basis for m-primary ideals in one and two variables
Power Control and Relay Selection in Full-Duplex Cognitive Relay Networks: Coherent versus Non-coherent Scenarios
MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts
Approximate Bayesian Computation via Population Monte Carlo and Classification
Weakly Supervised Learning for Salient Object Detection using Background Images
A Network Approach to Public Goods: A Short Summary
Uncertainty-Aware Self-supervised Neural Network for Liver T 1ρ Mapping with Relaxation Constraint
Stochastic Assignment of Electric Vehicles at Charging Stations Based on Personalized Utility Functions
Uncovering the Spectral Bias in Diagonal State Space Models
TriQXNet: Forecasting Dst Index from Solar Wind Data Using an Interpretable Parallel Classical-Quantum Framework with Uncertainty Quantification
Hydrogen Supply Chain Planning with Flexible Transmission and Storage Scheduling
A comparison of mixed precision iterative refinement approaches for least-squares problems
Beyond Hate Speech: NLP's Challenges and Opportunities in Uncovering Dehumanizing Language
LASER: An LLM-based ASR Scoring and Evaluation Rubric
A New Hierarchical Software Architecture Towards Safety-Critical Aspects of a Drone System
The Other Side of the Coin: Exploring Fairness in Retrieval-Augmented Generation
Equity in the Use of ChatGPT for the Classroom: A Comparison of the Accuracy and Precision of ChatGPT 3.5 vs. ChatGPT4 with Respect to Statistics and Data Science Exams
Hybrid quantum annealing for larger-than-QPU lattice-structured problems
Individual and Social Requirement Aspects of Sustainable eLearning Systems
Semi-global Output Feedback Stabilization of Non-Minimum Phase Nonlinear Systems
A Cloud in the Sky: Geo-Aware On-board Data Services for LEO Satellites
Mechanisms for Outsourcing Computation via a Decentralized Market
A Soft-Bodied Aerial Robot for Collision Resilience and Contact-Reactive Perching
Learning-Based Adaptive IRS Control with Limited Feedback Codebooks
Short-Packet Communications in Non-Orthogonal Multiple Access Systems
The Sword of Damocles in ViTs: Computational Redundancy Amplifies Adversarial Transferability
Spreadsheet good practice: is there any such thing?
AMG preconditioners for Linear Solvers towards Extreme Scale
Key Rate of the B92 Quantum Key Distribution Protocol with Finite Qubits
Defining Pathway Assembly and Exploring its Applications
On Distributed Function Computation in Structure-Free Random Networks
3D-Aided Data Augmentation for Robust Face Understanding
Leveraging AI and NLP for Bank Marketing: A Systematic Review and Gap Analysis
Towards automatic pulmonary nodule management in lung cancer screening with deep learning
News Information Decoupling: An Information Signature of Catastrophes in Legacy News Media
BeerReview: A Blockchain-enabled Peer Review Platform
Unsupervised Cross-Domain 3D Human Pose Estimation via Pseudo-Label-Guided Global Transforms
Secure Transmission on the Two-hop Relay Channel with Scaled Compute-and-Forward
Accelerated PDE's for efficient solution of regularized inversion problems
Equilibrium and Selfish Behavior in Network Contagion
Teegi: Tangible EEG Interface
Audio Signal Enhancement with Learning from Positive and Unlabelled Data
Real-time Active Vision for a Humanoid Soccer Robot Using Deep Reinforcement Learning
BR-NS: an Archive-less Approach to Novelty Search
Platform-Independent Firewall Policy Representation
Large Model Agents: State-of-the-Art, Cooperation Paradigms, Security and Privacy, and Future Trends
A Genetic Algorithm for Fully Automatic Non-Isometric Shape Matching
Adaptive Diffusion Denoised Smoothing : Certified Robustness via Randomized Smoothing with Differentially Private Guided Denoising Diffusion
Hamiltonian Neural Networks with Automatic Symmetry Detection
Visible Light-Based Human Visual System Conceptual Model
Unsupervised Domain Adaptation with Progressive Adaptation of Subspaces
Features-based embedding or Feature-grounding
Latent Diffusion Models for Controllable RNA Sequence Generation
Contour Transformer Network for One-shot Segmentation of Anatomical Structures
Approximation and Interpolation of Singular Measures by Trigonometric Polynomials
Effective Acoustic Energy Sensing Exploitation for Target Sources Localization in Urban Acoustic Scenes
Estimation of Optimized Energy and Latency Constraints for Task Allocation in 3d Network on Chip
Exact recoverability from dense corrupted observations via L 1 minimization
Mental Models of Adversarial Machine Learning
Pressure Eye: In-bed Contact Pressure Estimation via Contact-less Imaging
Regularization Can Help Mitigate Poisoning Attacks... with the Right Hyperparameters
AccFlow: Defending Against the Low-Rate TCP DoS Attack in Wireless Sensor Networks
Breaking the Illusion: Consensus-Based Generative Mitigation of Adversarial Illusions in Multi-Modal Embeddings
SPARQ: An Optimization Framework for the Distribution of AI-Intensive Applications under Non-Linear Delay Constraints
Predicting Fracture in the Proximal Humerus using Phase Field Models
Can LLMs Identify Tax Abuse?
An efficient numerical approach for stochastic evolution PDEs driven by random diffusion coefficients and multiplicative noise
Efficient Fairness-Performance Pareto Front Computation
A Survey of Graph-Theoretic Approaches for Analyzing the Resilience of Networked Control Systems
Investigating the stylistic relevance of adjective and verb simile markers
Inverse Kinematics of Some General 6R/P Manipulators
Representations of Sound in Deep Learning of Audio Features from Music
Instance optimal function recovery - samples, decoders and asymptotic performance
Coarse Space Correction for Graphic Analysis
Information slows down hierarchy growth
Limited Evaluation Cooperative Co-evolutionary Differential Evolution for Large-scale Neuroevolution
Data-Driven Control of Complex Networks
Arbitrary Beam Synthesis of Different Hybrid Beamforming Systems
Clip21: Error Feedback for Gradient Clipping
Robots and humans as co-workers?
Methodic of joint using the tools of automation of lexical and parsing analysis in the process of teaching the programming theory of future informatics teachers
Optimal High-Resolution Adaptive Sampling of Deterministic Signals
MarineGPT: Unlocking Secrets of Ocean to the Public
Universal Solution Manifold Networks (USM-Nets): non-intrusive mesh-free surrogate models for problems in variable domains
Self-organized network design by link survivals and shortcuts
Rate-Constrained Wireless Networks with Fading Channels: Interference-Limited and Noise-Limited Regimes
CSVideoNet: A Recurrent Convolutional Neural Network for Compressive Sensing Video Reconstruction
Isomorphic mesh generation from point clouds with multilayer perceptrons
Evidential time-to-event prediction model with well-calibrated uncertainty estimation
Between plurality and proportionality: an analysis of vote transfer systems
Global Context Enhanced Anomaly Detection of Cyber Attacks via Decoupled Graph Neural Networks
Layer Adaptive Node Selection in Bayesian Neural Networks: Statistical Guarantees and Implementation Details