yusuke1997/dblp-id-title huggingface dataset:
Universal Discrete Filtering with Lookahead or Delay
Ontology Alignment at the Instance and Schema Level
Medical Image Segmentation Using a U-Net type of Architecture
Using Random Noise Equivariantly to Boost Graph Neural Networks Universally
Visual Tracking via Reliable Memories
Hierarchical Average Reward Policy Gradient Algorithms
Mediation Challenges and Socio-Technical Gaps for Explainable Deep Learning Applications
Are We Hungry for 3D LiDAR Data for Semantic Segmentation?
Neural Vector Conceptualization for Word Vector Space Interpretation
Classification of Instagram fake users using supervised machine learning algorithms
Generative AI May Prefer to Present National-level Characteristics of Cities Based on Stereotypical Geographic Impressions at the Continental Level
StructLayoutFormer:Conditional Structured Layout Generation via Structure Serialization and Disentanglement
A Generic Numbering System based on Catalan Families of Combinatorial Objects
Improved Topic modeling in Twitter through Community Pooling
Towards Reliable LLM-Driven Fuzz Testing: Vision and Road Ahead
Chasing Stability: Humanoid Running via Control Lyapunov Function Guided Reinforcement Learning
Contrasting Contrastive Self-Supervised Representation Learning Models
Exploring the Impact of Personality Traits on Conversational Recommender Systems: A Simulation with Large Language Models
Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks
Charting the Landscape of Nefarious Uses of Generative Artificial Intelligence for Online Election Interference
On the relationship between extended state observer and unknown input observer
Before you , monitor: Implementing Flavell's metacognitive framework in LLMs
Who is ChatGPT? Benchmarking LLMs' Psychological Portrayal Using PsychoBench
A Framework for Quantifying Controversy of Social Network Debates Using Attributed Networks: Biased Random Walk (BRW)
A second-order self-adjusting steepness based remapping method for arbitrary quadrilateral meshes
Design and implementation of multiprotocol framework for residential prosumer incorporation in flexibility markets
GuidedRec: Guiding Ill-Posed Unsupervised Volumetric Recovery
SeaPearl: A Constraint Programming Solver guided by Reinforcement Learning
Callico: a Versatile Open-Source Document Image Annotation Platform
Ordinal Approximation for Social Choice, Matching, and Facility Location Problems given Candidate Positions
The Factorial-Basis Method for Finding Definite-Sum Solutions of Linear Recurrences With Polynomial Coefficients
DCANet: Dual Convolutional Neural Network with Attention for Image Blind Denoising
Improving Generalization Ability of Genetic Programming: Comparative Study
ARC-Chapter: Structuring Hour-Long Videos into Navigable Chapters and Hierarchical Summaries
Towards Effective User Attribution for Latent Diffusion Models via Watermark-Informed Blending
QuadraNet V2: Efficient and Sustainable Training of High-Order Neural Networks with Quadratic Adaptation
New Tools are Needed for Tracking Adherence to AI Model Behavioral Use Clauses
An implementation of CAD in Maple utilising McCallum projection
Automated X-ray Image Analysis for Cargo Security: Critical Review and Future Promise
Computationally Efficient Information-Driven Optical Design with Interchanging Optimization
Block Layer Decomposition schemes for training Deep Neural Networks
Smoothed Least-Laxity-First Algorithm for EV Charging
Deep reinforcement learning-based spacecraft attitude control with pointing keep-out constraint
Contractual Reinforcement Learning: Pulling Arms with Invisible Hands
Internet of Things Technologies for Managing COVID-19 Pandemic: Recommendations and Proposed Framework
Neural network approximation of coarse-scale surrogates in numerical homogenization
Un-evaluated Solutions May Be Valuable in Expensive Optimization
Space-time Trade-offs for the LCP Array of Wheeler DFAs
POD Suboptimal Control of Evolution Problems: Theory and Applications
This looks like that: deep learning for interpretable image recognition
Mushrooms Detection, Localization and 3D Pose Estimation using RGB-D Sensor for Robotic-picking Applications
Graph Automorphism Shuffles from Pile-Scramble Shuffles
An Australian DER Bill of Rights and Responsibilities
Multimodal Medical Disease Classification with LLaMA II
Using a computer algebra system to simplify expressions for Titchmarsh-Weyl m-functions associated with the Hydrogen Atom on the half line
Trace-enabled Timing Model Synthesis for ROS2-based Autonomous Applications
Under the Underground: Predicting Private Interactions in Underground Forums
Multi-speaker Text-to-speech Synthesis Using Deep Gaussian Processes
Tensor Network Structure Search Using Program Synthesis
UEFI Memory Forensics: A Framework for UEFI Threat Analysis
Factorized binary polynomial optimization
Hospital Readmission Prediction - Applying Hierarchical Sparsity Norms for Interpretable Models
A Survey of Decomposition-Based Evolutionary Multi-Objective Optimization: Part I-Past and Future
Intention as Commitment toward Time
InstaDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos
Spring Embedders and Force Directed Graph Drawing Algorithms
Urban precipitation downscaling using deep learning: a smart city application over Austin, Texas, USA
Fixed-time cluster synchronization for complex networks via pinning control
Almost lossless analog signal separation and probabilistic uncertainty relations
Negatively Correlated Search as a Parallel Exploration Search Strategy
Optimising simulations for diphoton production at hadron colliders using amplitude neural networks
Novel Dynamic Load Balancing Algorithm for Cloud-Based Big Data Analytics
Improving Machine Learning Ability with Fine-Tuning
A Discrepancy based Approach to Integer Programming
Training on Art Composition Attributes to Influence CycleGAN Art Generation
Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion
The Multi-View Paradigm Shift in MRI Radiomics: Predicting MGMT Methylation in Glioblastoma
Identifying Bias in AI using Simulation
LANTERN: A Machine Learning Framework for Lipid Nanoparticle Transfection Efficiency Prediction
Tooth Instance Segmentation on Panoramic Dental Radiographs Using U-Nets and Morphological Processing
Biometric Blockchain: A Secure Solution for Intelligent Vehicle Data Sharing
Irrelevant carrots and non-existent sticks: trust, governance, and security in the transition to quantum-safe systems
Dolphin: An Actor-Oriented Database for Reactive Moving Object Data Management
Simple algorithms to test and learn local Hamiltonians
How to hide your voice: Noise-cancelling bird photography blind
Collaborative Aquatic Positioning System Utilising Multi-beam Sonar and Depth Sensors
Quasi-dynamic Traffic Light Control for a Single Intersection
Manipulating Reinforcement Learning: Poisoning Attacks on Cost Signals
UniMark: Artificial Intelligence Generated Content Identification Toolkit
On Propagating Updates in a Byzantine Environment
The Gabor-Einstein Wavelet: A Model for the Receptive Fields of V1 to MT Neurons
Stable Messenger: Steganography for Message-Concealed Image Generation
UVL: A Unified Framework for Video Tampering Localization
I-ViSE: Interactive Video Surveillance as an Edge Service using Unsupervised Feature Queries
Successfully Applying Lottery Ticket Hypothesis to Diffusion Model
Quaternionic Step Derivative: Automatic Differentiation of Holomorphic Functions using Complex Quaternions
MMGenBench: Evaluating the Limits of LMMs from the Text-to-Image Generation Perspective
Conditional Chemical Language Models are Versatile Tools in Drug Discovery
Evaluating an Immersive Analytics Application at an Enterprise Business Intelligence Customer Conference
VERISCORE: Evaluating the factuality of verifiable claims in long-form text generation
Multi-label Annotation for Visual Multi-Task Learning Models
A Self-Sensing Digital Twin of a Railway Bridge using the Statistical Finite Element Method
DeepCell: A Ubiquitous Accurate Provider-side Cellular-based Localization
Enhancing Multivariate Time Series-based Solar Flare Prediction with Multifaceted Preprocessing and Contrastive Learning
Quantum-inspired classical sublinear-time algorithm for solving low-rank semidefinite programming via sampling approaches
Alpha current flow betweenness centrality
A priori generalization error for two-layer ReLU neural network through minimum norm solution
PixelShuffler: A Simple Image Translation Through Pixel Rearrangement
Inverse Renormalization Group Transformation in Bayesian Image Segmentations
Discovering, quantifying, and displaying attacks
Autonomous Learning with High-Dimensional Computing Architecture Similar to von Neumann's
Optimal Runtime Verification of Finite State Properties over Lossy Event Streams
Domain Adaptation with Soft-margin multiple feature-kernel learning beats Deep Learning for surveillance face recognition
Rapidly computable viscous friction and no-slip rigid contact models
Clustering with Outlier Removal
SAM2-PATH: A better segment anything model for semantic segmentation in digital pathology
SONAR-SLT: Multilingual Sign Language Translation via Language-Agnostic Sentence Embedding Supervision
Proceedings First Workshop on Architectures, Languages and Paradigms for IoT, ALP4IoT@iFM 2017, Turin, Italy, September 18, 2017
SECOQC White Paper on Quantum Key Distribution and Cryptography
Compressed Sensing with Upscaled Vector Approximate Message Passing
A Compact 16-bit S-box over Tower Field \mathbb{F} (((2 2 ) 2 ) 2 ) 2 with High Security
An energy-efficient scheduling algorithm for shared facility supercomputer centers
Bias in Large Language Models: Origin, Evaluation, and Mitigation
Evaluating Singleplayer and Multiplayer in Human Computation Games
Quantile Rendering: Efficiently Embedding High-dimensional Feature on 3D Gaussian Splatting
Augmentations of Forman's Ricci Curvature and their Applications in Community Detection
Entity Candidate Network for Whole-Aware Named Entity Recognition
Image Analysis Enhanced Event Detection from Geo-tagged Tweet Streams
Multi-UAV Conflict Resolution with Graph Convolutional Reinforcement Learning
The lexicographically least word in the orbit closure of the Rudin-Shapiro word
Empirical Analysis of Zipf's Law, Power Law, and Lognormal Distributions in Medical Discharge Reports
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
UU-Mamba: Uncertainty-aware U-Mamba for Cardiovascular Segmentation
Characterizing Novelty in the Military Domain
Protein Folding Optimization using Differential Evolution Extended with Local Search and Component Reinitialization
Lost in Time? A Meta-Learning Framework for Time-Shift-Tolerant Physiological Signal Transformation
Numerical Simulation of the Time-Dependent Schrodinger Equation Using the Crank-Nicolson Method
Cloud Removal from Satellite Images
How to do impactful research in artificial intelligence for chemistry and materials science
K8s Pro Sentinel: Extend Secret Security in Kubernetes Cluster
Incremental Comprehension of Garden-Path Sentences by Large Language Models: Semantic Interpretation, Syntactic Re-Analysis, and Attention
The Promises and Pitfalls of Deep Kernel Learning
Space-time formulation and time discretization of phase-field fracture optimal control problems
Attention-Based Convolutional Neural Network for Machine Comprehension
Continual Deep Reinforcement Learning with Task-Agnostic Policy Distillation
Multinomial Loss on Held-out Data for the Sparse Non-negative Matrix Language Model
Exploring Best Practices for ECG Signal Processing in Machine Learning
A geometric approach to conditioning belief functions
Grounding the Ungrounded: A Spectral-Graph Framework for Quantifying Hallucinations in multimodal LLMs
Alice Benchmarks: Connecting Real World Object Re-Identification with the Synthetic
Domain-independent detection of known anomalies
Denotationally Correct, Purely Functional, Efficient Reverse-mode Automatic Differentiation
Core-Periphery Segregation in Evolving Prisoner's Dilemma Networks
Cyclic Association Rules Mining under Constraints
Enhanced Modeling of Contingency Response in Security-constrained Optimal Power Flow
Lale: Consistent Automated Machine Learning
Learning to Decode for Future Success
Spatial Transcriptomics Expression Prediction from Histopathology Based on Cross-Modal Mask Reconstruction and Contrastive Learning
Neyman-Pearson Detection of a Gaussian Source using Dumb Wireless Sensors
Structure-preserving neural networks for the regularized entropy-based closure of the Boltzmann moment system
Harnessing omnipresent oscillator networks as computational resource
Improving Model Robustness with Latent Distribution Locally and Globally
Backwards Reachability for Probabilistic Timed Automata: A Replication Report
Classification of Diabetes Mellitus using Modified Particle Swarm Optimization and Least Squares Support Vector Machine
Machine Learning Techniques in Cognitive Radio Networks
Benchmarking machine learning models for predicting aerofoil performance
Measuring pattern retention in anonymized data - where one measure is not enough
Optimal Survival Trees
Towards Scalable Quantum Networks
Dynamics of an Intra-host Diffusive Pathogen Infection Model
Beyond Least Squares: Robust Regression Transformer (R2T)
Elementary Logic in Linear Space
A Cost-aware Study of Depression Language on Social Media using Topic and Affect Contextualization
Negotiation Strategies in Ubiquitous Human-Computer Interaction: A Novel Storyboards Scale & Field Study
Receptive-Field Regularized CNNs for Music Classification and Tagging
Learning to Control Dynamical Agents via Spiking Neural Networks and Metropolis-Hastings Sampling
High-order staggered Lagrangian hydrodynamics (II) : the artificial viscosity and hourglass control algorithm
On Lower Bounds for Regret in Reinforcement Learning
Risk-Sensitive Mean-Field-Type Games with Lp-norm Drifts
Thompson Sampling for Unimodal Bandits
An Efficient Transfer Learning Technique by Using Final Fully-Connected Layer Output Features of Deep Networks
Explainable machine learning-based prediction model for diabetic nephropathy
A Compression Algorithm Using Mis-aligned Side-information
Whittle's index-based age-of-information minimization in multi-energy harvesting source networks
An Exploration into why Output Regularization Mitigates Label Noise
Pairwise Matching of Intermediate Representations for Fine-grained Explainability
Quantile-based Maximum Likelihood Training for Outlier Detection
VisorGPT: Learning Visual Prior via Generative Pre-Training
Analise de Desaprendizado de Maquina em Modelos de Classificacao de Imagens Medicas
Insights from the Algonauts 2025 Winners
FKreg: A MATLAB toolbox for fast Multivariate Kernel Regression
A Framework for Real-time Safeguarding the Text Generation of Large Language Model
DRespNeT: A UAV Dataset and YOLOv8-DRN Model for Aerial Instance Segmentation of Building Access Points for Post-Earthquake Search-and-Rescue Missions
Comparison of Data-Driven Modeling Approaches for Control Optimization of Floating Offshore Wind Turbines
Acquisition Time-Informed Breast Tumor Segmentation from Dynamic Contrast-Enhanced MRI
LiteDenseNet: A Lightweight Network for Hyperspectral Image Classification
Multi-Hop Privacy Propagation for Differentially Private Federated Learning in Social Networks
Multidimensional Interleavings and Applications to Topological Inference
Interpretable ODE-style Generative Diffusion Model via Force Field Construction
Fox-1 Technical Report
Network Localization Based Planning for Autonomous Underwater Vehicles with Inter-Vehicle Ranging
Learning Motion Predictors for Smart Wheelchair using Autoregressive Sparse Gaussian Process
Faster arbitrary-precision dot product and matrix multiplication
Using Wikipedia to Boost SVD Recommender Systems
Bridging the Usability Gap: Theoretical and Methodological Advances for Spectral Learning of Hidden Markov Models
FedControl: When Control Theory Meets Federated Learning
A Multimodal Approach for Advanced Pest Detection and Classification
Electrostatic Actuators Operating in Liquid Environment : Suppression of Pull-in Instability and Dynamic Response
Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model
Personalized Music Recommendation with a Heterogeneity-aware Deep Bayesian Network
Multi-point Gaussian states, quadratic-exponential cost functionals, and large deviations estimates for linear quantum stochastic systems
Learning a Category-level Object Pose Estimator without Pose Annotations
Supercomputing for High-speed Avoidance and Reactive Planning in Robots
Cross-boundary Behavioural Reprogrammability of Cellular Automata from Emulation Networks
Synthesizing Follow-Up Drive Data for Enhanced Road Safety in Intelligent Driving Function Systems
Analysis of the use of smart cards on the urban railway
A new fluid-based strategy for the connection of non-matching lattice materials
Robust Containment Queries over Collections of Trimmed NURBS Surfaces via Generalized Winding Numbers
Machine Translation by Projecting Text into the Same Phonetic-Orthographic Space Using a Common Encoding
Traffic Analysis for Storage Finding in Video on Demand System
A Note on the Inapproximability of Correlation Clustering
Uncertainty in GNN Learning Evaluations: A Comparison Between Measures for Quantifying Randomness in GNN Community Detection
Shadow operator: Effective dynamic load change operation training in air separation processes based on industrial nonlinear MPC and Bloom's taxonomy
Identifying Student Communities in Blended Courses
Evaluating LLMs on Real-World Forecasting Against Human Superforecasters
Unsupervised Object-Based Transition Models for 3D Partially Observable Environments
On the gaps of the spectrum of volumes of trades
Rapid Open-World Adaptation by Adaptation Principles Learning
Guaranteed upper bounds for iteration errors and modified Kacanov schemes via discrete duality
An Analytical Theory of Power Law Spectral Bias in the Learning Dynamics of Diffusion Models
Literature Review of Action Recognition in the Wild
LGAN: Lung Segmentation in CT Scans Using Generative Adversarial Network
Out-of-Distribution Segmentation via Wasserstein-Based Evidential Uncertainty
Autonomous Fault Detection in Self-Healing Systems using Restricted Boltzmann Machines
Robust GANs against Dishonest Adversaries
Inherent Diverse Redundant Safety Mechanisms for AI-based Software Elements in Automotive Applications
Managing HILP Consequences Using Dynamic Distribution System Asset Assessment
Towards Coinductive Models for Natural Language Understanding. Bringing together Deep Learning and Deep Semantics
Bi-directional Context-Enhanced Speech Large Language Models for Multilingual Conversational ASR
Asynchronous Personalized Federated Learning through Global Memorization
Episodic Memory in Agentic Frameworks: Suggesting Next Tasks
Vetting Security and Privacy of Global COVID-19 Contact Tracing Applications
Graph Neural Networks for Airfoil Design
EndoIR: Degradation-Agnostic All-in-One Endoscopic Image Restoration via Noise-Aware Routing Diffusion
Simultaneous Optimization of Efficiency and Degradation in Tunable HTL-Free Perovskite Solar Cells with MWCNT-Integrated Back Contact Using a Machine Learning-Derived Polynomial Regressor
A word recurrence based algorithm to extract genomic dictionaries
Multi-Task Learning with Loop Specific Attention for CDR Structure Prediction
Linked Data on Geo-annotated Events and Use Cases for the Resilience of Ukraine
A Learning-based Quadcopter Controller with Extreme Adaptation
Small Language Models for Agentic Systems: A Survey of Architectures, Capabilities, and Deployment Trade offs
CHIMERA: Compressed Hybrid Intelligence for Twin-Model Enhanced Multi-Agent Deep Reinforcement Learning for Multi-Functional RIS-Assisted Space-Air-Ground Integrated Networks
Variational Regularization of Inverse Problems for Manifold-Valued Data
MUSE: A Methodology for Characterizing and Quantifying the Use of Spectrum
A Generalised Inverse Reinforcement Learning Framework
Sampling from the Continuous Random Energy Model in Total Variation Distance
On Finite- and Fixed-Time Stabilization of Abstract Nonlinear Systems with Well-Posedness Guarantees
R3ST: A Synthetic 3D Dataset With Realistic Trajectories
Human-like general language processing
Interpretable Set Functions
Non-Linear Precoding via Dirty Paper Coding for Near-Field Downlink MISO Communications
XCAT - Lightweight Quantized Single Image Super-Resolution using Heterogeneous Group Convolutions and Cross Concatenation
Multi-Modal Assistance for Unsupervised Domain Adaptation on Point Cloud 3D Object Detection
Lightweight Safety Classification Using Pruned Language Models
Cryptanalysis of two mutual authentication protocols for low-cost RFID
SignSGD with Federated Voting
On the Convergence Analysis of Asynchronous SGD for Solving Consistent Linear Systems
Do Methods to Jailbreak and Defend LLMs Generalize Across Languages?
An introduction to programming Physics-Informed Neural Network-based computational solid mechanics
Comp4D: LLM-Guided Compositional 4D Scene Generation
Space efficient merging of de Bruijn graphs and Wheeler graphs
Feature Subset Selection for Software Cost Modelling and Estimation
Counterfactual Inference for Eliminating Sentiment Bias in Recommender Systems
TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices using Submodular Mutual Information
Tutorial: VAE as an inference paradigm for neuroimaging
Simple and Lightweight Human Pose Estimation
GMFVAD: Using Grained Multi-modal Feature to Improve Video Anomaly Detection
Configurable Strategies for Work-stealing
VEM discretization allowing small edges for the reaction-convection-diffusion equation: source and spectral problems
SEIGuard: An Authentication-simplified and Deceptive Scheme to Protect Server-side Social Engineering Information Against Brute-force Attacks
On Minimal Sets to Destroy the k-Core in Random Networks
Automated Metaheuristic Algorithm Design with Autoregressive Learning
Game-theoretic Utility Tree for Multi-Robot Cooperative Pursuit Strategy
Challenges for analytic calculations of the massive three-loop form factors
Why Does Multi-Epoch Training Help?
Multi-agent Undercover Gaming: Hallucination Removal via Counterfactual Test for Multimodal Reasoning
5-axis Multi-material Desktop Additive Manufacturing of Conformal Antennas
Minimum Description Length Clustering to Measure Meaningful Image Complexity
Learning Analytics in Massive Open Online Courses
DeepMOT: A Differentiable Framework for Training Multiple Object Trackers
Predictability Enables Parallelization of Nonlinear State Space Models
Bayesian Hypernetworks
The P versus NP Problem
safe-control-gym: a Unified Benchmark Suite for Safe Learning-based Control and Reinforcement Learning
FPGA-Accelerated Correspondence-free Point Cloud Registration with PointNet Features
XGrasp: Gripper-Aware Grasp Detection with Multi-Gripper Data Generation
Estimation of crowd density applying wavelet transform and machine learning
FlashWorld: High-quality 3D Scene Generation within Seconds
Revitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series Forecasting
Narrative Interpolation for Generating and Understanding Stories
The theory of mnesors
Learning High-resolution Vector Representation from Multi-Camera Images for 3D Object Detection
Low-resource Personal Attribute Prediction from Conversation
Multi-View Symbolic Regression
Toward Automatic Safe Driving Instruction: A Large-Scale Vision Language Model Approach
Agentic AI framework for End-to-End Medical Data Inference
From artificial to circular intelligence to support the well-being of our habitat
Sparse data to structured imageset transformation
DISco: a Distributed Information Store for network Challenges and their Outcome
Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation
Capacity of 1-to-K Broadcast Packet Erasure Channels with Channel Output Feedback (Full Version)
Graph Neural Networks as Fast and High-fidelity Emulators for Finite-Element Ice Sheet Modeling
Joint Precoding Design and Resource Allocation for C-RAN Wireless Fronthaul Systems