yusuke1997/dblp-id-title huggingface dataset:
Expressive Keypoints for Skeleton-based Action Recognition via Skeleton Transformation
Driving maneuvers prediction based on cognition-driven and data-driven method
Self-Taught Convolutional Neural Networks for Short Text Clustering
Statistically Distinct Plans for Multi-Objective Task Assignment
Shared Information-Based Safe And Efficient Behavior Planning For Connected Autonomous Vehicles
On SGD's Failure in Practice: Characterizing and Overcoming Stalling
Inter-component communication methods in object-oriented frameworks
YASMIN: a Real-time Middleware for COTS Heterogeneous Platforms
High Precision Hybrid RF and Ultrasonic Chirp-based Ranging for Low-Power IoT Nodes
Quantifying Urban Traffic Anomalies
Not your private tête-à-tête: leveraging the power of higher-order networks to study animal communication
Data-Driven Reduction of Fault Location Errors in Onshore Wind Farm Collectors
Online Heatmap Generation with Both High and Low Weights
Emergent effects of scaling on the functional hierarchies within large language models
Negative Pre-activations Differentiate Syntax
Enhanced prediction for discrete-time input-delayed systems with unknown disturbances
Multi-modal Capsule Routing for Actor and Action Video Segmentation Conditioned on Natural Language Queries
Overcoming Black-box Attack Inefficiency with Hybrid and Dynamic Select Algorithms
A Link Diagram Visualizing Relations between Two Ordered Sets
Pragmatic Primitives for Non-blocking Data Structures
Early detection of diabetes through transfer learning-based eye (vision) screening and improvement of machine learning model performance and advanced parameter setting algorithms
SMamDiff: Spatial Mamba for Stochastic Human Motion Prediction
Towards a Novel Cooperative Logistics Information System Framework
Leveraging Prior Knowledge of Diffusion Model for Person Search
Research on Autonomous Robots Navigation based on Reinforcement Learning
Quantifying and Improving Adaptivity in Conformal Prediction through Input Transformations
HUT: Enabling High-UTility, Batched Queries under Differential Privacy Protection for Internet-of-Vehicles
Formalizing Cost Fairness for Two-Party Exchange Protocols using Game Theory and Applications to Blockchain (Extended Version)
Causal Modeling Semantics for Counterfactuals with Disjunctive Antecedents
Adversarial Resilience Learning - Towards Systemic Vulnerability Analysis for Large and Complex Systems
Efficient Symptom Inquiring and Diagnosis via Adaptive Alignment of Reinforcement Learning and Classification
Moment-Based 3D Gaussian Splatting: Resolving Volumetric Occlusion with Order-Independent Transmittance
Polynomial Preconditioning for Indefinite Matrices
A positivity preserving iterative method for finding the ground states of saturable nonlinear Schrödinger equations
Development of a 15-Degree-of-Freedom Bionic Hand with Cable-Driven Transmission and Distributed Actuation
Chain Rules for Renyi Information Combining
Quantum Criticism: A Tagged News Corpus Analysed for Sentiment and Named Entities
DC power grids with constant-power loads - Part II: nonnegative power demands, conditions for feasibility, and high-voltage solutions
Structure-Preserving Zero-Shot Image Editing via Stage-Wise Latent Injection in Diffusion Models
Analyzing Learned Convnet Features with Dirichlet Process Gaussian Mixture Models
GPU acceleration of Newton's method for large systems of polynomial equations in double double and quad double arithmetic
Compiler Infrastructure for Specializing Domain-Specific Memory Templates
Unraveling reported dreams with text analytics
Ich weiß, was du nächsten Sommer getan haben wirst: Predictive Policing in Österreich
Checkerboard Target Measurement in Unordered Point Clouds with Coloured ICP
EvidenceMoE: A Physics-Guided Mixture-of-Experts with Evidential Critics for Advancing Fluorescence Light Detection and Ranging in Scattering Media
Reasoning with shapes: profiting cognitive susceptibilities to infer linear mapping transformations between shapes
Fast Multiple Landmark Localisation Using a Patch-based Iterative Network
Assessment of central serous chorioretinopathy (CSC) depicted on color fundus photographs using deep Learning
Graphical estimation of multivariate count time series
Appendix for: Cut-free Calculi and Relational Semantics for Temporal STIT logics
Astrolabe: Curating, Linking and Computing Astronomy's Dark Data
Approximation Algorithm for the Binary-Preference Capacitated Selfish Replication Game and a Tight Bound on its Price of Anarchy
CausalImages: An R Package for Causal Inference with Earth Observation, Bio-medical, and Social Science Images
A unconditionally energy dissipative, adaptive IMEX BDF2 scheme and its error estimates for Cahn-Hilliard equation on generalized SAV approach
Distributional Models and Deep Learning Embeddings: Combining the Best of Both Worlds
Collective intelligence: aggregation of information from neighbors in a guessing game
ChatGPT and other Large Language Models for Cybersecurity of Smart Grid Applications
Maximum Likelihood Learning of Latent Dynamics Without Reconstruction
DRAMP: Double-RIS Assisted Multihop Routing Protocol for Wireless Networks
Conditional Latent Diffusion Models for Zero-Shot Instance Segmentation
Data Distillation for Neural Network Potentials toward Foundational Dataset
Stronger Data Poisoning Attacks Break Data Sanitization Defenses
Theoretical Investigation of Composite Neural Network
A minimal representation for continuous functions
DB-GPT-Hub: Towards Open Benchmarking Text-to-SQL Empowered by Large Language Models
Notarial timestamps savings in logs management via Merkle trees and Key Derivation Functions
An Improved Multi-Stage Preconditioner on GPUs for Compositional Reservoir Simulation
Storage Management with Multi-Version Partitioned B-Trees
Planning for quasi-static manipulation tasks via an intrinsic haptic metric
Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs
Boundary-field formulation for transient electromagnetic scattering by dielectric scatterers and coated conductors
Med7: a transferable clinical natural language processing model for electronic health records
A Hybrid Approach To Real-Time Multi-Object Tracking
Neural Tangent Kernels Motivate Graph Neural Networks with Cross-Covariance Graphs
FSL-HDnn: A 5.7 TOPS/W End-to-end Few-shot Learning Classifier Accelerator with Feature Extraction and Hyperdimensional Computing
Lossless compression catalyst based on binary allocation via modular arithmetic
ART: A Graph-based Framework for Investigating Illicit Activity in Monero via Address-Ring-Transaction Structures
A least-squares Galerkin approach to gradient and Hessian recovery for nondivergence-form elliptic equations
Intuitionistic Existential Instantiation and Epsilon Symbol
Tabular Parsing
Flexible Model Interpretability through Natural Language Model Editing
How toxic is antisemitism? Potentials and limitations of automated toxicity scoring for antisemitic online content
SERF: Towards better training of deep neural networks using log-Softplus ERror activation Function
Variational Encoders and Autoencoders : Information-theoretic Inference and Closed-form Solutions
Rice Classification Using Spatio-Spectral Deep Convolutional Neural Network
Intelligent location of simultaneously active acoustic emission sources: Part II
Efficient Adapter Tuning for Joint Singing Voice Beat and Downbeat Tracking with Self-supervised Learning Features
Classifying Images with Few Spikes per Neuron
In-depth analysis of music structure as a self-organized network
Mesh Stability Guaranteed Rigid Body Networks Using Control and Topology Co-Design
Better wit than wealth: Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement
A framework for large-scale mapping of human settlement extent from Sentinel-2 images via fully convolutional neural networks
StructureBoost: Efficient Gradient Boosting for Structured Categorical Variables
New Branching Rules: Improvements on Independent Set and Vertex Cover in Sparse Graphs
The Deletable Bloom filter: A new member of the Bloom family
MemSum: Extractive Summarization of Long Documents using Multi-step Episodic Markov Decision Processes
Highly efficient norm preserving numerical schemes for micromagnetic energy minimization based on SAV method
PPORLD-EDNetLDCT: A Proximal Policy Optimization-Based Reinforcement Learning Framework for Adaptive Low-Dose CT Denoising
Convergence of Manufacturing and Networking in Future Factories
Rethinking Class-Discrimination Based CNN Channel Pruning
Good helper is around you: Attention-driven Masked Image Modeling
MLR (Memory, Learning and Recognition): A General Cognitive Model - applied to Intelligent Robots and Systems Control
Aligning Motion-Blurred Images Using Contrastive Learning on Overcomplete Pixels
Knowledge spillovers: does the geographic proximity effect decay over time? A discipline-level analysis, accounting for cognitive proximity, with and without self-citations
V-ReasonBench: Toward Unified Reasoning Benchmark Suite for Video Generation Models
Betti numbers of attention graphs is all you really need
Correlated Noise in Epoch-Based Stochastic Gradient Descent: Implications for Weight Variances
A Hormetic Approach to the Value-Loading Problem: Preventing the Paperclip Apocalypse?
MINDSTORES: Memory-Informed Neural Decision Synthesis for Task-Oriented Reinforcement in Embodied Systems
Nonparametric Estimation via Variance-Reduced Sketching
Modeling human reputation-seeking behavior in a spatio-temporally complex public good provision game
A seamless, extended DG approach for hyperbolic-parabolic problems on unbounded domains
SizeGS: Size-aware Compression of 3D Gaussians with Hierarchical Mixed Precision Quantization
First Activations Matter: Training-Free Methods for Dynamic Activation in Large Language Models
A non-expert view on Turing machines, Proof Verifiers, and Mental reasoning
Revealing Political Bias in LLMs through Structured Multi-Agent Debate
New FPT algorithms for finding the temporal hybridization number for sets of phylogenetic trees
Covering Points by Disjoint Boxes with Outliers
Pressure and convection robust bounds for continuous interior penalty divergence-free finite element methods for the incompressible Navier-Stokes equations
DoDo-Code: a Deep Levenshtein Distance Embedding-based Code for IDS Channel and DNA Storage
Wildfire danger prediction optimization with transfer learning
Wardropian Cycles make traffic assignment both optimal and fair by eliminating price-of-anarchy with Cyclical User Equilibrium for compliant connected autonomous vehicles
Offline Reinforcement Learning for End-to-End Autonomous Driving
Acquiring Better Load Estimates by Combining Anomaly and Change-point Detection in Power Grid Time-series Measurements
VisitHGNN: Heterogeneous Graph Neural Networks for Modeling Point-of-Interest Visit Patterns
Graph Trees with Attention
OpticalGAN : Generative Adversarial Networks for Continuous Variable Quantum Computation
Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey
Deep Learning for Crack Detection: A Review of Learning Paradigms, Generalizability, and Datasets
Leveraging Pretrained Representations with Task-related Keywords for Alzheimer's Disease Detection
Peridynamic Neural Operators: A Data-Driven Nonlocal Constitutive Model for Complex Material Responses
Outage Balancing in Downlink Non-Orthogonal Multiple Access With Statistical Channel State Information
Towards a Unification of Logic and Information Theory
Constructing a software requirements specification and design for electronic IT news magazine system
Prior Knowledge Enhances Radiology Report Generation
Deep learning for synthetic microstructure generation in a materials-by-design framework for heterogeneous energetic materials
Hydrogen reaction rate modeling based on convolutional neural network for large eddy simulation
InfiAlign: A Scalable and Sample-Efficient Framework for Aligning LLMs to Enhance Reasoning Capabilities
BERTaú: Itaú BERT for digital customer service
Running Time Analysis of the (1+1)-EA for OneMax and LeadingOnes under Bit-wise Noise
X-Reasoner: Towards Generalizable Reasoning Across Modalities and Domains
A Topological Data Analysis Based Classifier
Generalization of a reduced Trefftz type approach
Thermal Comfort in Sight: Thermal Affordance and its Visual Assessment for Sustainable Streetscape Design
Specification-Guided Data Aggregation for Semantically Aware Imitation Learning
Pricing European Options with Google AutoML, TensorFlow, and XGBoost
SGL: A Structured Graphics Language
Robust and fine-grained prosody control of end-to-end speech synthesis
Probabilistic Reasoning via Deep Learning: Neural Association Models
Market-Based Power Allocation for a Differentially Priced FDMA System
Finding Interpretable Concept Spaces in Node Embeddings using Knowledge Bases
Discontinuous Galerkin methods for stochastic Maxwell equations with multiplicative noise
Fast and Stable Schemes for Phase Fields Models
Guidelines for Using Mixed and Multi Methods Research in Software Engineering
Quantized Frank-Wolfe: Communication-Efficient Distributed Optimization
CARL: Camera-Agnostic Representation Learning for Spectral Image Analysis
Finding 2-edge and 2-vertex strongly connected components in quadratic time
High-resolution Iterative Feedback Network for Camouflaged Object Detection
A Deep Multi-Agent Reinforcement Learning Approach to Autonomous Separation Assurance
Optimal Distributed Control of Reactive Power via the Alternating Direction Method of Multipliers
State Dependent Statistical Timing Model for Voltage Scaled Circuits
Experiences from the MediaEval Predicting Media Memorability Task
Mix-ME: Quality-Diversity for Multi-Agent Learning
Random Sampling of Bandlimited Graph Signals from Local Measurements
Predicting Lifetime of Dynamical Networks Experiencing Persistent Random Attacks
Towards Designer Modeling through Design Style Clustering
Design and Implementation of Modified Fuzzy based CPU Scheduling Algorithm
$\mathcal{H}$-matrix approximability of inverses of FEM matrices for the time-harmonic Maxwell equations
An Advantage-based Optimization Method for Reinforcement Learning in Large Action Space
An Image Analysis Approach to the Calligraphy of Books
P-CAFE: Personalized Cost-Aware Incremental Feature Selection For Electronic Health Records
Development and Clinical Evaluation of an AI Support Tool for Improving Telemedicine Photo Quality
Dezyne: Paving the Way to Practical Formal Software Engineering
On the Cohomology of Contextuality
Shape Inpainting using 3D Generative Adversarial Network and Recurrent Convolutional Networks
Novel Batch Active Learning Approach and Its Application to Synthetic Aperture Radar Datasets
Poisson Hail on a Wireless Ground
SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation
Permanent of bipartite graphs in terms of determinants
U-Netmer: U-Net meets Transformer for medical image segmentation
Enhancing Channel Assignment Performance in Wireless Mesh Networks Through Interference Mitigation Functions
Pyramidal Hidden Markov Model For Multivariate Time Series Forecasting
A New Paradigm in Blockchain-based Financial Aid Distribution
Let's be friends! A rapport-building 3D embodied conversational agent for the Human Support Robot
Priority Mechanism of Bitcoin and Its Effect on Transaction-Confirmation Process
An Approach to Secure Mobile Enterprise Architectures
Man-in-the-Middle Attacks against Machine Learning Classifiers via Malicious Generative Models
Uncertainty-Aware Signal Temporal logic
Bayesian Non-linear Latent Variable Modeling via Random Fourier Features
L-FLAT: Logtalk Toolkit for Formal Languages and Automata Theory
Exponential Natural Particle Filter
Explainable Black-Box Attacks Against Model-based Authentication
Constructios of l-adic t-deletion-correcting quantum codes
Comparing Width Parameters on Graph Classes
Harnessing the Potential of Large Language Models in Modern Marketing Management: Applications, Future Directions, and Strategic Recommendations
Local-to-global Perspectives on Graph Neural Networks
Fast Newton Transform: Interpolation in Downward Closed Polynomial Spaces
Causal relay networks
Local optima of the Sherrington-Kirkpatrick Hamiltonian
From Summary to Action: Enhancing Large Language Models for Complex Tasks with Open World APIs
HeLiOS: Heterogeneous LiDAR Place Recognition via Overlap-based Learning and Local Spherical Transformer
Frequency Regulation Model of Bulk Power Systems with Energy Storage
Fixed-parameter tractability and hardness for Steiner rooted and locally connected orientations
Federated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework with UAV Swarms
On consequences of finetuning on data with highly discriminative features
Monolithic Silicon-Photonics Linear-Algebra Accelerators Enabling Next-Gen Massive MIMO
A Real-Time Spatial Index for In-Vehicle Units
Signal automata and hidden Markov models
Task and Explanation Network
A Hybrid DeBERTa and Gated Broad Learning System for Cyberbullying Detection in English Text
Action Dynamics Task Graphs for Learning Plannable Representations of Procedural Tasks
Multi-Speaker DOA Estimation in Binaural Hearing Aids using Deep Learning and Speaker Count Fusion
Bayesian Modeling for Uncertainty Management in Financial Risk Forecasting and Compliance
Explainability Techniques for Graph Convolutional Networks
Knowledge Network System (KNS) by Evolutionary Collective Intelligence (ECI): Model, Algorithm and Applications
Theoretical Perspective of Deep Domain Adaptation
How Much Do Unstated Problem Constraints Limit Deep Robotic Reinforcement Learning?
Search-based Selection of Metamorphic Relations for Optimized Robustness Testing of Large Language Models
Sentiment Analysis for Open Domain Conversational Agent
Continuous time recurrent neural networks: overview and application to forecasting blood glucose in the intensive care unit
Spectral vs Energy Efficiency in 6G: Impact of the Receiver Front-End
Synergizing Spatial Optimization with Large Language Models for Open-Domain Urban Itinerary Planning
The Use of Readability Metrics in Legal Text: A Systematic Literature Review
Optimal recovery of damaged infrastructure network
Indexical Cities: Articulating Personal Models of Urban Preference with Geotagged Data
Impact of Tuning Parameters in Deep Convolutional Neural Network Using a Crack Image Dataset
Shortcomings of Class-level Documentation: A Survey
Constructing and explaining machine learning models for chemistry: example of the exploration and design of boron-based Lewis acids
Pricing and Investments in Internet Security: A Cyber-Insurance Perspective
On the connection between Deutsch-Jozsa algorithm and bent functions
Arithmetic and Frequency Filtering Methods of Pixel-Based Image Fusion Techniques
Part-Based Tracking by Sampling
SLCRF: Subspace Learning with Conditional Random Field for Hyperspectral Image Classification
Exploiting the English Vocabulary Profile for L2 word-level vocabulary assessment with LLMs
Learning Qualitatively Diverse and Interpretable Rules for Classification
Quantum IsoRank: Efficient Alignment of Multiple PPI Networks
Network Selection Decision Based on Handover History in Heterogeneous Wireless Networks
On the Out-Of-Distribution Robustness of Self-Supervised Representation Learning for Phonocardiogram Signals
Towards Effective Human-AI Teams: The Case of Collaborative Packing
JEDA: Query-Free Clinical Order Search from Ambient Dialogues
Reservoir Computing Approach to Robust Computation using Unreliable Nanoscale Networks
Flowchart2Mermaid: A Vision-Language Model Powered System for Converting Flowcharts into Editable Diagram Code
Computing an LLL-reduced basis of the orthogonal lattice
Numerical Quadrature for Singular Integrals on Fractals
PD 3 F: A Pluggable and Dynamic DoS-Defense Framework Against Resource Consumption Attacks Targeting Large Language Models
On the Winograd Schema Challenge: Levels of Language Understanding and the Phenomenon of the Missing Text
SeaShark: Towards a Modular Multi-Purpose Man-Portable AUV
Highly-Economized Multi-View Binary Compression for Scalable Image Clustering
On the Interplay Between Edge Caching and HARQ in Fog-RAN
Efficient Batch Query Answering Under Differential Privacy
Balancing Innovation and Oversight: AI in the U.S. Treasury and IRS: A Survey
CGA-PoseNet: Camera Pose Regression via a 1D-Up Approach to Conformal Geometric Algebra
Decomposition of linear tensor transformations
Instantaneous, Comprehensible, and Fixable Soundness Checking of Realistic BPMN Models
Numerical analysis of a spherical harmonic discontinuous Galerkin method for scaled radiative transfer equations with isotropic scattering
RobustFormer: Noise-Robust Pre-training for images and videos
R2Vul: Learning to Reason about Software Vulnerabilities with Reinforcement Learning and Structured Reasoning Distillation
Revisiting the field normalization approaches/practices
A Delay Based Approach for Congestion Avoidance in Interconnected Heterogeneous Computer Networks
LEDOM: An Open and Fundamental Reverse Language Model
WIP: Medical Incident Prediction Through Analysis of Electronic Medical Records Using Machine Lerning: Fall Prediction
Resilient Set-based State Estimation for Linear Time-Invariant Systems Using Zonotopes
Dynamic assignment: there is an equilibrium !
NOVO: Unlearning-Compliant Vision Transformers
SOA Framework for Integrated Business Value Chain Actions
Trust and Dependability in Blockchain & AI Based MedIoT Applications: Research Challenges and Future Directions
Visual Content Privacy Leaks on Social Media Networks
Revisiting Recursive Least Squares for Training Deep Neural Networks
Deep Representation Learning for Multi-functional Degradation Modeling of Community-dwelling Aging Population
Escaping Model Collapse via Synthetic Data Verification: Near-term Improvements and Long-term Convergence
Rewriting Meaningful Sentences via Conditional BERT Sampling and an application on fooling text classifiers
Porting a benchmark with a classic workload to blockchain: TPC-C on Hyperledger Fabric
Empirical Evaluation of the Heat-Diffusion Collection Protocol for Wireless Sensor Networks
Simultaneous Tactile-Visual Perception for Learning Multimodal Robot Manipulation
CLASP: Cost-Optimized LLM-based Agentic System for Phishing Detection
Continuation model predictive control on smooth manifolds
Inspection planning under execution uncertainty
Geometric Determinations Of Characteristic Redshifts From DESI-DR2 BAO and DES-SN5YR Observations: Hints For New Expansion Rate Anomalies
An Explainable Equity-Aware P2P Energy Trading Framework for Socio-Economically Diverse Microgrid
A parallel iterative method for variational integration
Efficient Temporal Sentence Grounding in Videos with Multi-Teacher Knowledge Distillation
Maximum Mutual Information of Space-Time Block Codes with Symbolwise Decodability
SAKE: Towards Editing Auditory Attribute Knowledge of Large Audio-Language Models
Multi-modal imaging using a cascaded microscope design
Instance Optimal Decoding and the Restricted Isometry Property
BlockJack: Towards Improved Prevention of IP Prefix Hijacking Attacks in Inter-Domain Routing Via Blockchain
Quantum Circuit Ansatz: Abstraction and Reuse of Quantum Algorithm Design
Optimizing the depth of variational quantum algorithms is strongly QCMA-hard to approximate
On the Number of Cycles in a Graph
Hybrid Firefly Algorithm and Sperm Swarm Optimization Algorithm using Newton-Raphson Method (HFASSON) and its application in CR-VANET
Hierarchical Representation via Message Propagation for Robust Model Fitting
Ontology-based Semantic Similarity Measures for Clustering Medical Concepts in Drug Safety
Feature representations useful for predicting image memorability
Limit Consistency of Lattice Boltzmann Equations
A Hyper-weight Network for Hyperspectral Image Denoising
On the Difference Between Closest, Furthest, and Orthogonal Pairs: Nearly-Linear vs Barely-Subquadratic Complexity in Computational Geometry
Time Dependent Analysis with Dynamic Counter Measure Trees
Uncertainty quantification in neural network classifiers - a local linear approach