yusuke1997/dblp-id-title huggingface dataset:
Deployment of Image Analysis Algorithms under Prevalence Shifts
Design of Log-Map / Max-Log-Map Decoder
On GNN explanability with activation rules
OpenCAEPoro: A Parallel Simulation Framework for Multiphase and Multicomponent Porous Media Flows
Information Exchange and Learning Dynamics over Weakly-Connected Adaptive Networks
Integrating Persian Lip Reading in Surena-V Humanoid Robot for Human-Robot Interaction
Using default inheritance to describe LTAG
Data Accessibility as a Pathway to Genuine Equality for Atlanta's Westside Communities
PretextTrans: Investigating Medical Factual Knowledge Mastery of LLMs with Predicate-text Dual Transformation
GDS Agent: A Graph Algorithmic Reasoning Agent
Relation matroid and its relationship with generalized rough set based on relation
Semi-coherent Detection and Performance Analysis for Ambient Backscatter System
Multimodal Large Language Model Driven Scenario Testing for Autonomous Vehicles
Document Relevance Evaluation via Term Distribution Analysis Using Fourier Series Expansion
The Impact of Partner Expressions on Felt Emotion in the Iterated Prisoner's Dilemma: An Event-level Analysis
Verifying Cross-modal Entity Consistency in News using Vision-language Models
Tidal turbine array optimisation using the adjoint approach
Monitorability for the Modal mu-Calculus over Systems with Data: From Practice to Theory
Enhancing the functional content of protein interaction networks
Engineering Adaptive Digital Investigations using Forensics Requirements
Learning beyond sensations: how dreams organize neuronal representations
An Efficient Framework for Floor-plan Prediction of Dynamic Runtime Reconfigurable Systems
Can Machine Learning Identify Governing Laws For Dynamics in Complex Engineered Systems ? : A Study in Chemical Engineering
A Detection and Filtering Framework for Collaborative Localization
Extending Irksome: improvements in automated Runge-Kutta time stepping for finite element methods
Deep Reinforcement Learning Based Navigation with Macro Actions and Topological Maps
Measuring the Optimality of Hadoop Optimization
Real-time 3D scene description using Spheres, Cones and Cylinders
Can mobile usage predict illiteracy in a developing country?
Registration is a Powerful Rotation-Invariance Learner for 3D Anomaly Detection
Tactile Gesture Recognition with Built-in Joint Sensors for Industrial Robots
BGPFuzz: Automated Configuration Fuzzing of the Border Gateway Protocol
Online continual learning with no task boundaries
DGAFF: Deep Genetic Algorithm Fitness Formation for EEG Bio-Signal Channel Selection
RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being
Transferring Semantic Knowledge Into Language Encoders
Use Cases of Computational Reproducibility for Scientific Workflows at Exascale
Two new families of fourth-order explicit exponential Runge-Kutta methods with four stages for stiff or highly oscillatory systems
A study of Monte-Carlo method in a teachers' training institute
Over-the-Air Federated Learning in MIMO Cloud-RAN Systems
Adjoint shadowing for backpropagation in hyperbolic chaos
Communication Security in the Internet of Vehicles based Industrial Value Chain
Calculation of routing value in MPLS network according to traffic fractal properties
Two for One, One for All: Deterministic LDC-based Robust Computation in Congested Clique
MUSE: Multi-Scale Dense Self-Distillation for Nucleus Detection and Classification
Enhancing Early Lung Cancer Detection on Chest Radiographs with AI-assistance: A Multi-Reader Study
Detecting Influence Campaigns in Social Networks Using the Ising Model
Introduction to Presentation Attacks in Signature Biometrics and Recent Advances
Analysis of Timed and Long-Run Objectives for Markov Automata
Nested Lattice Codes for Secure Bidirectional Relaying with Asymmetric Channel Gains
Max-C and Min-D Projection Autoassociative Fuzzy Morphological Memories: Theory and Applications for Face Recognition
KD-PINN: Knowledge-Distilled PINNs for ultra-low-latency real-time neural PDE solvers
Using Parametric PINNs for Predicting Internal and External Turbulent Flows
Enhancing the Interpretability of SHAP Values Using Large Language Models
Using Seminorms To Analyze Contraction of Switched Systems With Only Non-Contracting Modes
Optimizing Properties of Balanced Words
UTXO in Digital Currencies: Account-based or Token-based? Or Both?
A short proof that NMF is NP-hard
Vision Transformers for Action Recognition: A Survey
Towards A More Reasonable Semantic Web
"Talking past each other": Issue ownership and microtargeting in Swiss online political ads
Toward a digital twin of U.S. Congress
Geographic Gossip: Efficient Aggregation for Sensor Networks
Optical Network Virtualisation using Multi-technology Monitoring and SDN-enabled Optical Transceiver
Iterative Hybrid Precoder and Combiner Design for mmWave MIMO-OFDM Systems
Corruption-Robust Offline Reinforcement Learning
Dual-Arm In-Hand Manipulation and Regrasping Using Dexterous Manipulation Graphs
Gesture Recognition in RGB Videos UsingHuman Body Keypoints and Dynamic Time Warping
Rhetorical Role Labeling of Legal Documents using Transformers and Graph Neural Networks
Kolmogorov-Arnold Networks and Evolutionary Game Theory for More Personalized Cancer Treatment
AmberNet: A Compact End-to-End Model for Spoken Language Identification
LiteX: an open-source SoC builder and library based on Migen Python DSL
Policy Gradients for Optimal Parallel Tempering MCMC
Securing Application with Software Partitioning: A case study using SGX
Weigthed omega-Restricted One Counter Automata
Perception-Integrated Safety Critical Control via Analytic Collision Cone Barrier Functions on 3D Gaussian Splatting
Lightweight ciphers based on chaotic Map - LFSR architectures
Post-Hoc Explainability of BI-RADS Descriptors in a Multi-task Framework for Breast Cancer Detection and Segmentation
CoDi - an exemplar-conditioned diffusion model for low-shot counting
Domain Generalizer: A Few-shot Meta Learning Framework for Domain Generalization in Medical Imaging
Decomposition Sampling for Efficient Region Annotations in Active Learning
Fixed final time three-axis satellite attitude control with thrusters based on dynamic programming and neural networks
A Complete Formal Specification and Verification of the BESW software control system of the Maeslant Storm Surge Barrier
EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Tasks
Weakly-Supervised 3D Human Pose Learning via Multi-view Images in the Wild
GCNet: Probing Self-Similarity Learning for Generalized Counting Network
Towards Very Large Aperture Massive MIMO: a measurement based study
U-net based prediction of cerebrospinal fluid distribution and ventricular reflux grading
Games for Topological Fixpoint Logic
Simultaneous Facial Landmark Detection, Pose and Deformation Estimation under Facial Occlusion
The RW3D: A multi-modal panel dataset to understand the psychological impact of the pandemic
Long-term stability and generalization of observationally-constrained stochastic data-driven models for geophysical turbulence
Tool-to-Agent Retrieval: Bridging Tools and Agents for Scalable LLM Multi-Agent Systems
A coupling concept for Stokes-Darcy systems: the ICDD method
Learning To Score Olympic Events
Ray-marching Thurston geometries
Guide for Defense (G4D): Dynamic Guidance for Robust and Balanced Defense in Large Language Models
Precipitation event-based networks: an analysis of the relations between network metrics and meteorological properties
The key properties of inconsistency indicators for a triad in pairwise comparison matrices
Cloaking the Clock: Emulating Clock Skew in Controller Area Networks
Pathwise convergence of a novel numerical scheme based on semi-implicit method for stochastic differential-algebraic equations with non-global Lipschitz coefficients
Traffic control Management System and Collision Avoidance System
Cellular blood flow modelling with HemoCell
Image contrast enhancement based on the Schrödinger operator spectrum
Protecting Human Users Against Cognitive Attacks in Immersive Environments
Large System Analysis of Cooperative Multi-cell Downlink Transmission via Regularized Channel Inversion with Imperfect CSIT
Experimental Evaluation of Static Image Sub-Region-Based Search Models Using CLIP
Machine Learning-based Biological Ageing Estimation Technologies: A Survey
Accelerated regularized learning in finite N-person games
The Double-Edged Sword of Input Perturbations to Robust Accurate Fairness
Distributed Learning Dynamics Converging to the Core of B -Matchings
FlexMem: High-Parallel Near-Memory Architecture for Flexible Dataflow in Fully Homomorphic Encryption
BIDWESH: A Bangla Regional Based Hate Speech Detection Dataset
Temporal Analysis of Dark Patterns: A Case Study of a User's Odyssey to Conquer Prime Membership Cancellation through the "Iliad Flow"
Expected Attention: KV Cache Compression by Estimating Attention from Future Queries Distribution
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Handy Appetizer
Divide-and-Evolve: a New Memetic Scheme for Domain-Independent Temporal Planning
DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis
Entropic Hetero-Associative Memory
Evaluation of Delay Uncertainty in PCB Interconnects Due to Fiber Weave Effect
Lower Bounds on the Complexity of MSO1 Model-Checking
Interfaz Gráfica para la Gestión SDWN de un Entorno WLAN
Turing-Universal Learners with Optimal Scaling Laws
Distillation of Human-Object Interaction Contexts for Action Recognition
An Exploratory Approach Towards Investigating and Explaining Vision Transformer and Transfer Learning for Brain Disease Detection
CZU-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and 10 wearable inertial sensors
Shared Situational Awareness Using Hybrid Zonotopes with Confidence Metric
AIDBench: A benchmark for evaluating the authorship identification capability of large language models
Advancing Image Retrieval with Few-Shot Learning and Relevance Feedback
Some coordination problems are harder than others
MedFormer: Hierarchical Medical Vision Transformer with Content-Aware Dual Sparse Selection Attention
Cloud-Assisted Contracted Simulation of Quantum Chains
ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance
Industry Best Practices in Robotics Software Engineering
Towards Federated Learning Under Resource Constraints via Layer-wise Training and Depth Dropout
Inclusive-PIM: Hardware-Software Co-design for Broad Acceleration on Commercial PIM Architectures
MusicJam: Visualizing Music Insights via Generated Narrative Illustrations
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective
Study of Mach reflection in inviscid flows
Towards Explainable Convolutional Features for Music Audio Modeling
Kernel interpolation in Sobolev spaces of hybrid regularity
Exactly realizable desired trajectories
Scaling-up Memristor Monte Carlo with magnetic domain-wall physics
Drug classification based on X-ray spectroscopy combined with machine learning
Statistical Performance Analysis of the MUSIC Algorithm in Angular Sectors
PubSqueezer: A Text-Mining Web Tool to Transform Unstructured Documents into Structured Data
Domain adaptation for person re-identification on new unlabeled data using AlignedReID++
Social Media Analysis for Crisis Informatics in the Cloud
Structural Sieves
Exchanging Goods Using Valuable Money
Learning to Imitate Object Interactions from Internet Videos
Gaussian Splatting LK
Deep Reinforcement Learning for Multi-Driver Vehicle Dispatching and Repositioning Problem
A Streamwise GAN Vocoder for Wideband Speech Coding at Very Low Bit Rate
Dynamic Latency for CTC-Based Streaming Automatic Speech Recognition With Emformer
Untangling Segments in the Plane
A Survey of Code Optimization Methods for Kalman Filter Extensions
DISTA-Net: Dynamic Closely-Spaced Infrared Small Target Unmixing
Quantifying the Unknown: Impact of Segmentation Uncertainty on Image-Based Simulations
HAMMER: Hamiltonian Curiosity Augmented Large Language Model Reinforcement
Deep Learning for Disease Outbreak Prediction: A Robust Early Warning Signal for Transcritical Bifurcations
Enhancing Image Restoration Transformer via Adaptive Translation Equivariance
Automatic quality control in multi-centric fetal brain MRI super-resolution reconstruction
Model-based Bayesian Reinforcement Learning for Dialogue Management
Peformance Comparison Between MIMO and SISO based on Indoor Field Measurements
An optimal oracle separation of classical and quantum hybrid schemes
Fast Searching The Densest Subgraph And Decomposition With Local Optimality
Fractional differential equations: non-constant coefficients, simulation and model reduction
Fractional Authorship in Nuclear Physics
Crowding Out The Noise: Algorithmic Collective Action Under Differential Privacy
On performance of consensus protocols subject to noise: role of hitting times and network structure
Perturbed Datasets Methods for Hypothesis Testing and Structure of Corresponding Confidence Sets
Automated Probe Life-Cycle Management for Monitoring-as-a-Service
Quantum Switch for the Quantum Internet: Noiseless Communications through Noisy Channels
Symmetry-Aware Generative Modeling through Learned Canonicalization
Full Rate Collaborative Diversity Scheme for Multiple Access Fading Channels
Variational volume reconstruction with the Deep Ritz Method
Modeling Gene Expression Distributional Shifts for Unseen Genetic Perturbations
Revocable Hierarchical Identity-Based Encryption from Multilinear Maps
A Data Driven Framework for Real Time Power System Event Detection and Visualization
An extension of Priestley duality to fuzzy topologies and positive MV-algebras
Simplifying the Configuration of 802.11 Wireless Networks with Effective SNR
Tight MIP Formulation for Pipeline Gas Flow with Linepack
Transformer-based model for monocular visual odometry: a video understanding approach
A new family of quantum synchronizable codes from negacyclic codes
Towards Privacy-Preserving and Verifiable Federated Matrix Factorization
Transformer Based Implementation for Automatic Book Summarization
Modeling the Popularity of Events on Web by Sparsity and Mutual-Excitation Guided Graph Neural Network
Gloss Alignment Using Word Embeddings
Effective In-vehicle Intrusion Detection via Multi-view Statistical Graph Learning on CAN Messages
A Framework for Fair Evaluation of Variance-Aware Bandit Algorithms
Blockguard: Adaptive Blockchain Security
On Strong Converse Bounds for the Private and Quantum Capacities of Anti-degradable Channels
MATRIX: Mask Track Alignment for Interaction-aware Video Generation
Badllama 3: removing safety finetuning from Llama 3 in minutes
The Correspondence Between Bounded Graph Neural Networks and Fragments of First-Order Logic
Multi-Output Convolution Spectral Mixture for Gaussian Processes
A reaction network scheme which implements inference and learning for Hidden Markov Models
Krylov Solvers for Interior Point Methods with Applications in Radiation Therapy
Moment Sampling in Video LLMs for Long-Form Video QA
Theory and Computation of Substructure Characteristic Modes
An Approach Towards Identifying Bangladeshi Leaf Diseases through Transfer Learning and XAI
Efficient Large-Scale Face Clustering Using an Online Mixture of Gaussians
Beyond the Leaderboard: Understanding Performance Disparities in Large Language Models via Model Diffing
Fast emergency paths schema to overcome transient link failures in ospf routing
Coinductive Intersection Types are Completely Unsound
LumiMAS: A Comprehensive Framework for Real-Time Monitoring and Enhanced Observability in Multi-Agent Systems
Teaching to Learn: Sequential Teaching of Agents with Inner States
Desiderata for Planning Systems in General-Purpose Service Robots
Interference Impact on Decode-and-Forward Relay Networks with RIS-Assisted Source and Relays
Federated Graph-based Networks with Shared Embedding
Linear time small coresets for k-mean clustering of segments with applications
On allocations that give intersecting groups their fair share
Degrees of Freedom for Linear Attention: Distilling Softmax Attention with Optimal Feature Efficiency
Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies
Assurance Monitoring of Cyber-Physical Systems with Machine Learning Components
CURLoRA: Stable LLM Continual Fine-Tuning and Catastrophic Forgetting Mitigation
A COVID-19 Search Engine (CO-SE) with Transformer-based Architecture
Fixed-point Characterization of Compositionality Properties of Probabilistic Processes Combinators
Using SyGuS to Synthesize Reactive Motion Plans
An Impedance control approch of Ultra High Power Electric Arc Furnace
Benchmarking Multimodal Understanding and Complex Reasoning for ESG Tasks
Flows and Diffusions on the Neural Manifold
GET-Tok: A GenAI-Enriched Multimodal TikTok Dataset Documenting the 2022 Attempted Coup in Peru
Predicting feature imputability in the absence of ground truth
Meta-Chunking: Learning Efficient Text Segmentation via Logical Perception
Fast Exploration of Weight Sharing Opportunities for CNN Compression
An Approach to Model Checking of Multi-agent Data Analysis
Explicit Lipschitz Value Estimation Enhances Policy Robustness Against Perturbation
Beyond High-Entropy Exploration: Correctness-Aware Low-Entropy Segment-Based Advantage Shaping for Reasoning LLMs
Low cost quantum circuits for classically intractable instances of the Hamiltonian dynamics simulation problem
Recursively Enumerably Representable Classes and Computable Versions of the Fundamental Theorem of Statistical Learning
Good Learners Think Their Thinking: Generative PRM Makes Large Reasoning Model More Efficient Math Learner
Neural feels with neural fields: Visuo-tactile perception for in-hand manipulation
Predicting Antimicrobial Resistance (AMR) in Campylobacter, a Foodborne Pathogen, and Cost Burden Analysis Using Machine Learning
Recurrent computations for visual pattern completion
Generalization of splitting methods based on modified potentials to nonlinear evolution equations of parabolic and Schrödinger type
Safe Zeroth-Order Optimization Using Quadratic Local Approximations
To build or not to build - A queueing-based approach to timetable independent railway junction infrastructure dimensioning
Reconstructing Objects along Hand Interaction Timelines in Egocentric Video
Separable Physics-Informed Neural Networks for the solution of elasticity problems
RAPNet: A Receptive-Field Adaptive Convolutional Neural Network for Pansharpening
Mnemonics for Higher Education Using Contemporary Technologies
Taming Mambas for Voxel Level 3D Medical Image Segmentation
Quantitative Benchmarks and New Directions for Noise Power Estimation Methods in ISM Radio Environment
Walking without a Map: Optimizing Response Times of Traversal-Based Linked Data Queries (Extended Version)
A Trustworthy Industrial Fault Diagnosis Architecture Integrating Probabilistic Models and Large Language Models
Do We Need Explainable AI in Companies? Investigation of Challenges, Expectations, and Chances from Employees' Perspective
I^2NC: Intra- and Inter-Session Network Coding for Unicast Flows in Wireless Networks
Dual-Projection Fusion for Accurate Upright Panorama Generation in Robotic Vision
Not only a helper, but also a teacher: Interactive LLM Cascade
A Framework for Fast Scalable BNN Inference using Googlenet and Transfer Learning
Pre-training and in-context learning IS Bayesian inference a la De Finetti
The Mean Interference-to-Signal Ratio and its Key Role in Cellular and Amorphous Networks
Low-power Spin Valve Logic using Spin-transfer Torque with Automotion of Domain Walls
Disease-Atlas: Navigating Disease Trajectories with Deep Learning
RealMath: A Continuous Benchmark for Evaluating Language Models on Research-Level Mathematics
FAIR-MATCH: A Multi-Objective Framework for Bias Mitigation in Reciprocal Dating Recommendations
Simple finite elements and multigrid for efficient mass-consistent wind downscaling in a coupled fire-atmosphere model
Deep Neural Network for Phonon-Assisted Optical Spectra in Semiconductors
Reliability entails input-selective contraction and regulation in excitable networks
Temporal-varying failures of nodes in networks
HITrees: Higher-Order Interaction Trees
Characterization of integral input-to-state stability for nonlinear time-varying systems of infinite dimension
Coffea-Casa: Building composable analysis facilities for the HL-LHC
Sequential Targeting: an incremental learning approach for data imbalance in text classification
A simple learning agent interacting with an agent-based market model
FurryGAN: High Quality Foreground-aware Image Synthesis
Sparsity in Variational Autoencoders
Derivative estimation by RKHS regularization for learning dynamics from time-series data
Proof-of-TBI - Fine-Tuned Vision Language Model Consortium and OpenAI-o3 Reasoning LLM-Based Medical Diagnosis Support System for Mild Traumatic Brain Injury (TBI) Prediction
Circular-shift-based Vector Linear Network Coding and Its Application to Array Codes
COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images
Enhancing Sample Efficiency and Exploration in Reinforcement Learning through the Integration of Diffusion Models and Proximal Policy Optimization
Towards Responsible AI in the Era of ChatGPT: A Reference Architecture for Designing Foundation Model-based AI Systems
Data Augmentation and Resolution Enhancement using GANs and Diffusion Models for Tree Segmentation
Fire Dynamic Vision: Image Segmentation and Tracking for Multi-Scale Fire and Plume Behavior
Symmetry Adapted Residual Neural Network Diabatization: Conical Intersections in Aniline Photodissociation
OneRec-V2 Technical Report
General audio tagging with ensembling convolutional neural network and statistical features
Fast Topological Clustering with Wasserstein Distance
D-LITe: Building Internet of Things Choreographies
CMF: Cascaded Multi-model Fusion for Referring Image Segmentation
On CRC-Aided, Dual-Trellis, List Decoding for High-Rate Convolutional Codes with Short Blocklengths
Reversible Jump Metropolis Light Transport using Inverse Mappings
A Performance Evaluation of a Quantized Large Language Model on Various Smartphones
SIKeD: Self-guided Iterative Knowledge Distillation for mathematical reasoning
Sparse recovery of noisy data using the Lasso method
Crowdsourcing with Sparsely Interacting Workers
3DPyranet Features Fusion for Spatio-temporal Feature Learning
Finding and Recommending Scholarly Articles
Multi-Branch Attention Convolutional Neural Network for Online RIS Configuration with Discrete Responses: A Neuroevolution Approach
Scattered Factor Universality - The Power of the Remainder
Learning Monocular Depth by Distilling Cross-domain Stereo Networks
RIS-LAD: A Benchmark and Model for Referring Low-Altitude Drone Image Segmentation
A Best-of-Both Approach to Improve Match Predictions and Reciprocal Recommendations for Job Search
Linearly convergent stochastic heavy ball method for minimizing generalization error
What Makes a GitHub Issue Ready for Copilot?
Simple but Effective Unsupervised Classification for Specified Domain Images: A Case Study on Fungi Images
Time-Symmetric Cellular Automata
Time-dependent Probabilistic Generative Models for Disease Progression
Equitable Colorings of l-Corona Products of Cubic Graphs
POP: Mining POtential Performance of new fashion products via webly cross-modal query expansion
Evaluation of data driven low-rank matrix factorization for accelerated solutions of the Vlasov equation
Fine-tuning Neural-Operator architectures for training and generalization
Omni-DPO: A Dual-Perspective Paradigm for Dynamic Preference Learning of LLMs
Meta ordinal weighting net for improving lung nodule classification
A matter of time: publication dates in Web of Science Core Collection
Parametric Denotational Semantics for Extensible Language Definition and Program Analysis
Transformer-based Neuro-Animator for Qualitative Simulation of Soft Body Movement
AutoPET Challenge 2023: Sliding Window-based Optimization of U-Net
Instance Segmentation GNNs for One-Shot Conformal Tracking at the LHC