yusuke1997/dblp-id-title huggingface dataset:
Copyright Detection in Large Language Models: An Ethical Approach to Generative AI Development
Prediction of Industrial Process Parameters using Artificial Intelligence Algorithms
Towards Realistic Battery-DoS Protection of Implantable Medical Devices
Reputation assimilation mechanism for sustaining cooperation
Optical flow GNSS for navigation in the Indian subcontinent (NavIC)
Microservices a Definition Analyzed by {\ss}MACH
An automated and time efficient framework for simulation of coronary blood flow under steady and pulsatile conditions
Grassroots Flash: A Payment System for Grassroots Cryptocurrencies
Combining resampling and reweighting for faithful stochastic optimization
$L_p$-Testers for Bounded Derivative Properties on Product Distributions
LASTIST: LArge-Scale Target-Independent STance dataset
AudioScene: Integrating Object-Event Audio into 3D Scenes
Mitigating the Impact of Malware Evolution on API Sequence-based Windows Malware Detector
Efficient Variational Bayesian Structure Learning of Dynamic Graphical Models
Fuzzy Stochastic Timed Petri Nets for Causal properties representation
A Framework for Fast Face and Eye Detection
The Weighted Euler Characteristic Transform for Image Shape Classification
CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation
Revisiting Color-Event based Tracking: A Unified Network, Dataset, and Metric
Raising the Bar for Certified Adversarial Robustness with Diffusion Models
FLAME: A Self-Adaptive Auto-labeling System for Heterogeneous Mobile Processors
Self-Cascaded Diffusion Models for Arbitrary-Scale Image Super-Resolution
Berlin: A Quantitative View of the Structure of Institutional Scientific Collaborations
Learning to Reason under Off-Policy Guidance
RaD: A Metric for Medical Image Distribution Comparison in Out-of-Domain Detection and Other Applications
Rectified-CFG++ for Flow Based Models
Young domination on Hamming rectangles
All Ternary Permutation Constraint Satisfaction Problems Parameterized Above Average Have Polynomial Kernels
From Personas to Talks: Revisiting the Impact of Personas on LLM-Synthesized Emotional Support Conversations
The Good, the Bad, and the Hulk-like GPT: Analyzing Emotional Decisions of Large Language Models in Cooperation and Bargaining Games
Improving Reliability of Service Function Chains with Combined VNF Migrations and Replications
MMRINet: Efficient Mamba-Based Segmentation with Dual-Path Refinement for Low-Resource MRI Analysis
Mitigating Deep Learning Vulnerabilities from Adversarial Examples Attack in the Cybersecurity Domain
Regula Sub-rosa: Latent Backdoor Attacks on Deep Neural Networks
SeReNe: Sensitivity based Regularization of Neurons for Structured Sparsity in Neural Networks
Embedded Silicon-Organic Integrated Neuromorphic System
Forecasting Transformative AI: An Expert Survey
Heuristic and Reinforcement Learning Algorithms for Dynamic Service Placement on Mobile Edge Cloud
Decoupling SQL Query Hardness Parsing for Text-to-SQL
Decomposing Task Vectors for Refined Model Editing
PolyMPCNet: Towards ReLU-free Neural Architecture Search in Two-party Computation Based Private Inference
Appearances of the Birthday Paradox in High Performance Computing
Vector Approximate Message Passing for the Generalized Linear Model
Iterative optimal solutions of linear matrix equations for Hyperspectral and Multispectral image fusing
Provably-secure randomness generation from switching probability of magnetic tunnel junctions
ETP-R1: Evolving Topological Planning with Reinforcement Fine-tuning for Vision-Language Navigation in Continuous Environments
Modeling and Design of Longitudinal and Lateral Control System with a FeedForward Controller for a 4 Wheeled Robot
Novel Non-Prehensile Rolling Problem: Modelling and Balance Control of Pendulum-Driven Reconfigurable Disks Motion with Magnetic Coupling in Simulation
Analysis of pedestrian stress level using GSR sensor in virtual immersive reality
Sparse but Strong: Crafting Adversarially Robust Graph Lottery Tickets
Unified Molecular Modeling via Modality Blending
Electrical Flow Algorithms for Total Variation Minimization
How Adding Metacognitive Requirements in Support of AI Feedback in Practice Exams Transforms Student Learning Behaviors
Formalising the intentional stance 2: a coinductive approach
Application of Federated Learning in Building a Robust COVID-19 Chest X-ray Classification Model
Secure Navigation using Landmark-based Localization in a GPS-denied Environment
Four Over Six: More Accurate NVFP4 Quantization with Adaptive Block Scaling
Sinkhorn Divergences for Unbalanced Optimal Transport
A Delsarte-Style Proof of the Bukh-Cox Bound
PillarMamba: Learning Local-Global Context for Roadside Point Cloud via Hybrid State Space Model
Iterative-in-Iterative Super-Resolution Biomedical Imaging Using One Real Image
MAEDAY: MAE for few and zero shot AnomalY-Detection
RF Interference in Lens-Based Massive MIMO Systems - An Application Note
Self-organization and solution of shortest-path optimization problems with memristive networks
Any Other Thoughts, Hedgehog? Linking Deliberation Chains in Collaborative Dialogues
Bandit Approaches to Preference Learning Problems with Multiple Populations
Path-aware Siamese Graph Neural Network for Link Prediction
MedMerge: Merging Models for Effective Transfer Learning to Medical Imaging Tasks
Broken Tokens? Your Language Model can Secretly Handle Non-Canonical Tokenizations
Enhancing Stability and Assessing Uncertainty in Community Detection through a Consensus-based Approach
ImF: Implicit Fingerprint for Large Language Models
Local Multi-Label Explanations for Random Forest
MAD-FC: A Fold Change Visualization with Readability, Proportionality, and Symmetry
Accurate Scoliosis Vertebral Landmark Localization on X-ray Images via Shape-constrained Multi-stage Cascaded CNNs
Neuromorphic Split Computing with Wake-Up Radios: Architecture and Design via Digital Twinning
AI-driven 3D Spatial Transcriptomics
CIA+TA Risk Assessment for AI Reasoning Vulnerabilities
Scheduling Data Intensive Workloads through Virtualization on MapReduce based Clouds
An Improved Grey Wolf Optimization Algorithm for Heart Disease Prediction
Prediction Analysis of Optical Tracker Parameters using Machine Learning Approaches for efficient Head Tracking
Geometric Morphology of Granular Materials
RMR-Efficient Randomized Abortable Mutual Exclusion
Neural operators for solving nonlinear inverse problems
Traffic Characteristics of Virtual Reality over Edge-enabled Wi-Fi Networks
Local Clustering for Lung Cancer Image Classification via Sparse Solution Technique
CausalAffect: Causal Discovery for Facial Affective Understanding
Semi-Supervised and Task-Driven Data Augmentation
S-LoRA: Serving Thousands of Concurrent LoRA Adapters
On Temporal Regularity in Social Interactions: Predicting Mobile Phone Calls
A Digital Twin Design Methodology for Control, Simulation, and Monitoring of Fluidic Circuits
Overlap Number of Balls Model-Agnostic CounterFactuals (ONB-MACF): A Data-Morphology-based Counterfactual Generation Method for Trustworthy Artificial Intelligence
Adaptive DNN Surgery for Selfish Inference Acceleration with On-demand Edge Resource
Continuous black-box optimization with quantum annealing and random subspace coding
The Joint Entity-Relation Extraction Model Based on Span and Interactive Fusion Representation for Chinese Medical Texts with Complex Semantics
Parameterized algorithms for the 2-clustering problem with minimum sum and minimum sum of squares objective functions
AutoIAD: Manager-Driven Multi-Agent Collaboration for Automated Industrial Anomaly Detection
Sparse Recovery With Integrality Constraints
Evaluation of a Search Interface for Preference-Based Ranking - Measuring User Satisfaction and System Performance
Credible Sample Elicitation by Deep Learning, for Deep Learning
Complex Block Floating-Point Format with Box Encoding For Wordlength Reduction in Communication Systems
Recognizing unit multiple intervals is hard
Reflection-Driven Control for Trustworthy Code Agents
Biblical names' relationships in the Gospel of Matthew, Mark, Luke, John and Acts of Apostles
Content-based image retrieval speedup
Counter Hate Speech in Social Media: A Survey
Vegetation Mapping by UAV Visible Imagery and Machine Learning
OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation
Distraction-Based Neural Networks for Document Summarization
Undecidability of Asynchronous Session Subtyping
GiT: Towards Generalist Vision Transformer through Universal Language Interface
Hard Contacts with Soft Gradients: Refining Differentiable Simulators for Learning and Control
Distributed Online Optimization with Stochastic Agent Availability
Learning-Based Stable Optimal Control for Infinite-Time Nonlinear Regulation Problems
Stochastic Development Regression on Non-Linear Manifolds
Testing Hamiltonicity (and other problems) in Minor-Free Graphs
Reed-Muller Identification
Generating efficient belief models for task-oriented dialogues
Enhancing LLM Robustness to Perturbed Instructions: An Empirical Study
Efficient Neighbor Discovery for Proximity-Aware Networks
Blade Envelopes Part II: Multiple Objectives and Inverse Design
Machine Apophenia: The Kaleidoscopic Generation of Architectural Images
Guiding Cascading Failure Search with Interpretable Graph Convolutional Network
Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation
How to Do Things with Deep Learning Code
Streaming Balanced Graph Partitioning for Random Graphs
Ontology Verbalization using Semantic-Refinement
Bi-Arc Digraphs and Conservative Polymorphisms
MS-Twins: Multi-Scale Deep Self-Attention Networks for Medical Image Segmentation
Kleister: A novel task for Information Extraction involving Long Documents with Complex Layout
Federated Learning: A Survey on Privacy-Preserving Collaborative Intelligence
Proving the Absence of Microarchitectural Timing Channels
Backdoor Mitigation by Correcting the Distribution of Neural Activations
Spectral Clustering for Discrete Distributions
Estimation of Fiber Orientations Using Neighborhood Information
Investigating Content-Aware Neural Text-To-Speech MOS Prediction Using Prosodic and Linguistic Features
A Defect Corrected Finite Element Approach for the Accurate Evaluation of Magnetic Fields on Unstructured Grids
Anatomy X-Net: A Semi-Supervised Anatomy Aware Convolutional Neural Network for Thoracic Disease Classification
Robust Real-Time Coordination of CAVs: A Distributed Optimization Framework under Uncertainty
Why has (reasonably accurate) Automatic Speech Recognition been so hard to achieve?
Modeling Attack Resilient Reconfigurable Latent Obfuscation Technique for PUF based Lightweight Authentication
Classification of COVID-19 in Chest CT Images using Convolutional Support Vector Machines
A Hierarchical Approach to exploiting Multiple Datasets from TalkBank
APObind: A Dataset of Ligand Unbound Protein Conformations for Machine Learning Applications in De Novo Drug Design
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization
Self-Calibration and Biconvex Compressive Sensing
Google COVID-19 Community Mobility Reports: Anonymization Process Description (version 1.0)
TUMIX: Multi-Agent Test-Time Scaling with Tool-Use Mixture
System-wide safety staffing and stabilizability of large-scale parallel server networks
GROUNDHOG: Grounding Large Language Models to Holistic Segmentation
What do the founders of online communities owe to their users?
Active Bird2Vec: Towards End-to-End Bird Sound Monitoring with Transformers
Energy-Efficient Wireless Content Delivery with Proactive Caching
From Linear to Hierarchical: Evolving Tree-structured Thoughts for Efficient Alpha Mining
Funnels: Exact maximum likelihood with dimensionality reduction
Optimizing Expectation with Guarantees in POMDPs (Technical Report)
Context-Aware Content Moderation for German Newspaper Comments
Where have you been? A Study of Privacy Risk for Point-of-Interest Recommendation
Enhancing Security in Deep Reinforcement Learning: A Comprehensive Survey on Adversarial Attacks and Defenses
Strong Backdoors for Linear Temporal Logic
Fair CCA for Fair Representation Learning: An ADNI Study
On the Discrepancy Principle for Stochastic Gradient Descent
One Person, One Model-Learning Compound Router for Sequential Recommendation
Model-based versus Model-free Deep Reinforcement Learning for Autonomous Racing Cars
Enhancing Privacy in ControlNet and Stable Diffusion via Split Learning
Oasis: One Image is All You Need for Multimodal Instruction Data Synthesis
DiffEditor: Enhancing Speech Editing with Semantic Enrichment and Acoustic Consistency
STaR-Attack: A Spatio-Temporal and Narrative Reasoning Attack Framework for Unified Multimodal Understanding and Generation Models
A Radial Basis Function based Optimization Algorithm with Regular Simplex set geometry in Ellipsoidal Trust-Regions
FastInit: Fast Noise Initialization for Temporally Consistent Video Generation
Zero-shot protein stability prediction by inverse folding models: a free energy interpretation
Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet
Configuraç:ão e operaç:ão da plataforma Clearpath Husky A200 e manipulador Cobot UR5 2-finger gripper
Rank-based persistence
Application of LLMs to Multi-Robot Path Planning and Task Allocation
DA-DGCEx: Ensuring Validity of Deep Guided Counterfactual Explanations With Distribution-Aware Autoencoder Loss
Adopting Robustness and Optimality in Fitting and Learning
Remedy: Learning Machine Translation Evaluation from Human Preferences with Reward Modeling
Towards Clinical Encounter Summarization: Learning to Compose Discharge Summaries from Prior Notes
DIVIDE: A Framework for Learning from Independent Multi-Mechanism Data Using Deep Encoders and Gaussian Processes
Higher order Matching Pursuit for Low Rank Tensor Learning
Modelling, Controllability and Gait Design for a Spherical Flexible Swimmer
Global-Local Attention for Emotion Recognition
IMPACT: A Toolchain for Nonlinear Model Predictive Control Specification, Prototyping, and Deployment
Toward Reliable VLM: A Fine-Grained Benchmark and Framework for Exposure, Bias, and Inference in Korean Street Views
Open Information Extraction from 2007 to 2022 - A Survey
LLM2Swarm: Robot Swarms that Responsively Reason, Plan, and Collaborate through LLMs
Integer Laplacian eigenvalues of strictly chordal graphs
CausalAF: Causal Autoregressive Flow for Goal-Directed Safety-Critical Scenes Generation
Training Reinforcement Learning Agents and Humans With Difficulty-Conditioned Generators
Multi-Channel Deficit Round-Robin Scheduling for Hybrid TDM/WDM Optical Networks
Multitasking with Alexa Multitasking with Alexa: How Using Intelligent Personal Assistants Impacts Language-based Primary Task Performance
A Differential Game Theoretic Neural Optimizer for Training Residual Networks
Over-sampling De-occlusion Attention Network for Prohibited Items Detection in Noisy X-ray Images
ProAI: Proactive Multi-Agent Conversational AI with Structured Knowledge Base for Psychiatric Diagnosis
New Extensions of Pairing-based Signatures into Universal (Multi) Designated Verifier Signatures
CATER: A diagnostic dataset for Compositional Actions and TEmporal Reasoning
Self-Propelled Agents and Group Social Force
ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs
Community Detection in Complex Networks Using Density-based Clustering Algorithm
TQA-Bench: Evaluating LLMs for Multi-Table Question Answering with Scalable Context and Symbolic Extension
Bi-Directional Mental Model Reconciliation for Human-Robot Interaction with Large Language Models
An extensive search for stable periodic orbits of the equal-mass zero angular momentum three-body problem
Random Irregular Block-hierarchical Networks: Algorithms for Computation of Main Properties
Traveling-wave solutions and structure-preserving numerical methods for a hyperbolic approximation of the Korteweg-de Vries equation
Partial Fine-Tuning: A Successor to Full Fine-Tuning for Vision Transformers
InstructCoder: Empowering Language Models for Code Editing
A Multi-Scale Feature Extraction and Fusion Deep Learning Method for Classification of Wheat Diseases
PIV-Based 3D Fluid Flow Reconstruction Using Light Field Camera
Securing Smartphones: A Micro-TCB Approach
Evaluating the Performance of Nigerian Lecturers using Multilayer Perceptron
jSET - The Java Software Evolution Tracker
VERIRAG: Healthcare Claim Verification via Statistical Audit in Retrieval-Augmented Generation
Tethered Power Supply for Quadcopters: Architecture, Analysis and Experiments
Automated spacing measurement of formwork system members with 3D point cloud data
Coding local and global binary visual features extracted from video sequences
Towards Privacy-Aware and Personalised Assistive Robots: A User-Centred Approach
Deep Reinforcement Learning Based Vehicle Selection for Asynchronous Federated Learning Enabled Vehicular Edge Computing
PCAP-Backdoor: Backdoor Poisoning Generator for Network Traffic in CPS/IoT Environments
PPD: A New Valet Parking Pedestrian Fisheye Dataset for Autonomous Driving
On the concentration of the chromatic number of random graphs
Deep learning of fMRI big data: a novel approach to subject-transfer decoding
Perception Reinforcement Using Auxiliary Learning Feature Fusion: A Modified Yolov8 for Head Detection
Stabilising viscous extensional flows using Reinforcement Learning
Design and Control of a Humanoid Equipped with Flight Unit and Wheels for Multimodal Locomotion
Automatic Recognition of Landmarks on Digital Dental Models
Trajectory Planning for Connected and Automated Vehicles at Isolated Signalized Intersections under Mixed Traffic Environment
Dredge Word, Social Media, and Webgraph Networks for Unreliable Website Classification and Identification
End2Reg: Learning Task-Specific Segmentation for Markerless Registration in Spine Surgery
AnyStory: Towards Unified Single and Multiple Subject Personalization in Text-to-Image Generation
Interactive Multi Interest Process Pattern Discovery
CTC Blank Triggered Dynamic Layer-Skipping for Efficient CTC-based Speech Recognition
MergeNet: Knowledge Migration across Heterogeneous Models, Tasks, and Modalities
Jinx: Unlimited LLMs for Probing Alignment Failures
Automatic Number Plate Recognition using Random Forest Classifier
DURENDAL: Graph deep learning framework for temporal heterogeneous networks
Online Adaptation for Myographic Control of Natural Dexterous Hand and Finger Movements
L-SNet: from Region Localization to Scale Invariant Medical Image Segmentation
Self-Supervised Versus Supervised Training for Segmentation of Organoid Images
Infusing domain knowledge in AI-based "black box" models for better explainability with application in bankruptcy prediction
MultiGrain: a unified image embedding for classes and instances
A Model of Free Will for Artificial Entities
Recommendations on using VPN over SATCOM
Arrangements of double pseudolines
Using diffusion model as constraint: Empower Image Restoration Network Training with Diffusion Model
Characterizing the spread of exaggerated news content over social media
Data-driven mode shape selection and model-based vibration suppression of 3-RRR parallel manipulator with flexible actuation links
Understanding how Differentially Private Generative Models Spend their Privacy Budget
A correct proof of the heuristic GCD algorithm
KForge: Program Synthesis for Diverse AI Hardware Accelerators
Evolutionary Bin Packing for Memory-Efficient Dataflow Inference Acceleration on FPGA
InstructRAG: Instructing Retrieval-Augmented Generation with Explicit Denoising
On quantum algorithms for the Schrödinger equation in the semi-classical regime
Good Applications for Crummy Entity Linkers? The Case of Corpus Selection in Digital Humanities
Teaching MPC: Which Way to the Promised Land?
Learning from Delayed Feedback in Games via Extra Prediction
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems
SketchColour: Channel Concat Guided DiT-based Sketch-to-Colour Pipeline for 2D Animation
Learning from non-irreducible Markov chains
Learning Task-Agnostic Skill Bases to Uncover Motor Primitives in Animal Behaviors
Coordinated vs. Sequential Transmission Planning
Ensemble-localized Kernel Density Estimation with Applications to the Ensemble Gaussian Mixture Filter
Local limit theorem for complex valued sequences
Imitating Targets from all sides: An Unsupervised Transfer Learning method for Person Re-identification
Influence des mécanismes dissociés de ludifications sur l'apprentissage en support numérique de la lecture en classe primaire
Determination of signal-to-noise ratio on the base of information-entropic analysis
ChESS - Quick and Robust Detection of Chess-board Features
High-throughput Simulation of Federated Learning via Resource-Aware Client Placement
Remembering Chandra Kintala
Gathering in 1-Interval Connected Graphs
A Declarative Query Language for Scientific Machine Learning
On Predictive Explanation of Data Anomalies
Continuous-Time Consensus under Non-Instantaneous Reciprocity
Assessing the effectiveness of real-world network simplification
'1e0a': A Computational Approach to Rhythm Training
Topical Language Generation using Transformers
Reflector Antennas Characterization and Diagnostics using a Single Set of Far Field Phaseless Data and Crosswords-like Processing
Considerations on P vs NP
Can The Crowd Identify Misinformation Objectively? The Effects of Judgment Scale and Assessor's Background
Robust Sensor-Limited Control with Safe Input-Output Constraints for Hydraulic In-Wheel Motor Drive Mobility Systems
Patterns of i.i.d. Sequences and Their Entropy - Part I: General Bounds
A Method to Support Difficult Re-finding Tasks
Analysis and prediction of heart stroke from ejection fraction and serum creatinine using LSTM deep learning approach
SPINEX: Similarity-based Predictions with Explainable Neighbors Exploration for Anomaly and Outlier Detection
Urban Air Pollution Forecasting: a Machine Learning Approach leveraging Satellite Observations and Meteorological Forecasts
Radix Conversion for IEEE754-2008 Mixed Radix Floating-Point Arithmetic
Distribution-aware Noisy-label Crack Segmentation
Evaluation of Two-Level Load Balancing Framework in Cloud Environment
Provenance-based Data Skipping (TechReport)
Blockchain for Academic Integrity: Developing the Blockchain Academic Credential Interoperability Protocol (BACIP)
Multimodal Large Language Models-Enabled UAV Swarm: Towards Efficient and Intelligent Autonomous Aerial Systems
Quantum circuits are just a phase
Bailing-TTS: Chinese Dialectal Speech Synthesis Towards Human-like Spontaneous Representation
N-grams Bayesian Differential Privacy
Algebraic calming for the 2D Kuramoto-Sivashinsky equations
A Note on Unconditional Subexponential-time Pseudo-deterministic Algorithms for BPP Search Problems
Evil Vizier: Vulnerabilities of LLM-Integrated XR Systems
S-JEPA: towards seamless cross-dataset transfer through dynamic spatial attention
Towards Personalized Prompt-Model Retrieval for Generative Recommendation
Negacyclic codes over the local ring ℤ 4 [v]/〈v 2 +2v〉 of oddly even length and their Gray images
AnonLFI 2.0: Extensible Architecture for PII Pseudonymization in CSIRTs with OCR and Technical Recognizers
How Old is GPT?: The HumBEL Framework for Evaluating Language Models using Human Demographic Data
The Decidability Frontier for Probabilistic Automata on Infinite Words
Beyond Next Word Prediction: Developing Comprehensive Evaluation Frameworks for measuring LLM performance on real world applications
Spiking Neural Networks with Consistent Mapping Relations Allow High-Accuracy Inference
A blindspot of AI ethics: anti-fragility in statistical prediction
Performance Localisation
Text-to-Scene with Large Reasoning Models
Resolving Crash Bugs via Large Language Models: An Empirical Study
Process Mining Model to Predict Mortality in Paralytic Ileus Patients
Universe of Thoughts: Enabling Creative Reasoning with Large Language Models
Modeling patient flow in the emergency department using machine learning and simulation