yusuke1997/dblp-id-title huggingface dataset:
Model of a Data Mining System for Personalized Therapy of Speech Disorders
Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial Intelligence (2011)
Evaluating Linear Functions to Symmetric Monoidal Categories
How Far Are We from Believable AI Agents? A Framework for Evaluating the Believability of Human Behavior Simulation
Form-Substance Discrimination: Concept, Cognition, and Pedagogy
The k-outlier Fréchet distance
Passively Mobile Communicating Logarithmic Space Machines
Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models
Efficient Lipschitzian Global Optimization of Hölder Continuous Multivariate Functions
The jamming transition as a paradigm to understand the loss landscape of deep neural networks
Tracking-Guided 4D Generation: Foundation-Tracker Motion Priors for 3D Model Animation
A Deep Learning Approach to Data-driven Parameterizations for Statistical Parametric Speech Synthesis
Spectral Analysis of Symmetric and Anti-Symmetric Pairwise Kernels
EquiBench: Benchmarking Code Reasoning Capabilities of Large Language Models via Equivalence Checking
Tap-Wave-Rub: Lightweight Malware Prevention for Smartphones Using Intuitive Human Gestures
Iterative Sizing Field Prediction for Adaptive Mesh Generation From Expert Demonstrations
Efficient Reduced Magnetic Vector Potential Formulation for the Magnetic Field Simulation of Superconducting Magnets
Understanding Structured Financial Data with LLMs: A Case Study on Fraud Detection
Temporal Label Hierachical Network for Compound Emotion Recognition
MultiCFV: Detecting Control Flow Vulnerabilities in Smart Contracts Leveraging Multimodal Deep Learning
An Approach to Model Checking ATLir
VMap: An Interactive Rectangular Space-filling Visualization for Map-like Vertex-centric Graph Exploration
On the Optimality of Procrastination Policy for EV charging under Net Energy Metering
An Adaptive Contrastive Learning Model for Spike Sorting
Vision Transformer-based Feature Extraction for Generalized Zero-Shot Learning
A Computationally Efficient Framework for Overlapping Community Detection in Large Bipartite Graphs
Resolving Ambiguity via Dialogue to Correct Unsynthesizable Controllers for Free-Flying Robots
A generalized Avikainen's estimate and its applications
Multi-Scale Tensorial Summation and Dimensional Reduction Guided Neural Network for Edge Detection
Training-Free Loosely Speculative Decoding: Accepting Semantically Correct Drafts Beyond Exact Match
Multi-choice opinion dynamics model based on Latane theory
Permissionless Consensus
Model-Free Hovering and Source Seeking via Extremum Seeking Control: Experimental Demonstration
From ATL to Stit
E-Sparse: Boosting the Large Language Model Inference through Entropy-based N: M Sparsity
From Pixels to Legs: Hierarchical Learning of Quadruped Locomotion
An Approximate Dynamic Programming Approach to Community Recovery Management (Extended Abstract)
A generative, predictive model for menstrual cycle lengths that accounts for potential self-tracking artifacts in mobile health data
Construction of Lyapunov Functions Using Vector Field Decomposition
End-to-end Phoneme Sequence Recognition using Convolutional Neural Networks
Study on the Sorting Performance for Reactor Monte Carlo Neutron Transport on Apple Unified Memory GPUs
Network Pruning for Low-Rank Binary Indexing
Deformable 3D Shape Diffusion Model
Benchmarking CNN on 3D Anatomical Brain MRI: Architectures, Data Augmentation and Deep Ensemble Learning
Removing Averaging: Personalized Lip-Sync Driven Characters Based on Identity Adapter
Minimal controllability problem on linear structural descriptor systems with forbidden nodes
Towards Fine-Grained Code-Switch Speech Translation with Semantic Space Alignment
Synthesis of a Six-Bar Gripper Mechanism for Aerial Grasping
Personalizing Education through an Adaptive LMS with Integrated LLMs
MicroFog: A Framework for Scalable Placement of Microservices-based IoT Applications in Federated Fog Environments
Harnessing LLM for Noise-Robust Cognitive Diagnosis in Web-Based Intelligent Education Systems
Gaussian MRF Covariance Modeling for Efficient Black-Box Adversarial Attacks
Highrisk Prediction from Electronic Medical Records via Deep Attention Networks
StableV2V: Stablizing Shape Consistency in Video-to-Video Editing
HTC Scientific Computing in a Distributed Cloud Environment
A Local Gaussian Process Regression Approach to Frequency Response Function Estimation
Heart2Mind: Human-Centered Contestable Psychiatric Disorder Diagnosis System using Wearable ECG Monitors
NetDAM: Network Direct Attached Memory with Programmable In-Memory Computing ISA
Learning k -body Hamiltonians via compressed sensing
Gender-Based Homophily in Research: A Large-Scale Study of Man-Woman Collaboration
Divide-and-conquer based Large-Scale Spectral Clustering
Impact of the Optimum Routing and
Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear Speedup
iThermTroj: Exploiting Intermittent Thermal Trojans in Multi-Processor System-on-Chips
Submatrices with the best-bounded inverses: Studying ℝ n ⨉ 2 and C n ⨉ 2
Quantifying and Alleviating Co-Adaptation in Sparse-View 3D Gaussian Splatting
Semantic Channel and Shannon's Channel Mutually Match for Multi-Label Classification
E-unification for Second-Order Abstract Syntax
Robust AC Transmission Expansion Plans from A Novel Dual Based Bi-level Approach
Low noise sensitivity analysis of Lq-minimization in oversampled systems
Large-Scale Bayesian Causal Discovery with Interventional Data
Self-supervised Scale Equivariant Network for Weakly Supervised Semantic Segmentation
Unsupervised deep learning model for fast energy layer pre-selection of delivery-efficient proton arc therapy plan optimization of nasopharyngeal carcinoma
TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge Device
Understanding Vector-Valued Neural Networks and Their Relationship with Real and Hypercomplex-Valued Neural Networks
Bisimilarity on Basic Process Algebra is in 2-ExpTime (an explicit proof)
Learning Accurate, Comfortable and Human-like Driving
Graph Neural Network Backend for Speaker Recognition
Fairness at Equilibrium in the Labor Market
Quantitative Evaluation of Common Cause Failures in High Safety-significant Safety-related Digital Instrumentation and Control Systems in Nuclear Power Plants
Multi-Texture Synthesis through Signal Responsive Neural Cellular Automata
Efficient Reinforcement Learning for Unsupervised Controlled Text Generation
A Parametric Framework for Reversible π-Calculi
RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning based on Emotional Information
A black market for upvotes and likes
FACT: the Features At Convergence Theorem for neural networks
Capacity and Delay Analysis of Next-Generation Passive Optical Networks (NG-PONs) - Extended Version
Cost-effective Deep Learning Infrastructure with NVIDIA GPU
R2-Talker: Realistic Real-Time Talking Head Synthesis with Hash Grid Landmarks Encoding and Progressive Multilayer Conditioning
Deep Face Quality Assessment
Output-Constrained Decision Trees
Object Tracking Incorporating Transfer Learning into Unscented and Cubature Kalman Filters
Maximum-principle preserving space-time isogeometric analysis
Mini-symposium on automatic differentiation and its applications in the financial industry
Dissertations Repository System Using Context Module
Error Processing of Sparse Identification of Nonlinear Dynamical Systems via L ∞ Approximation
Enhancing Manufacturing Knowledge Access with LLMs and Context-aware Prompting
Multi-agent Policy Optimization with Approximatively Synchronous Advantage Estimation
Finite difference methods for linear transport equations
Data navigation on the ENCODE portal
Text classification using machine learning methods
A Stable Nuclear Future? The Impact of Autonomous Systems and Artificial Intelligence
Analyzing and Improving Hardware Modeling of Accel-Sim
How Much More Probable is "Much More Probable"? Verbal Expressions for Probability Updates
Pareto-Optimal Learning-Augmented Algorithms for Online k-Search Problems
Question Answering Survey: Directions, Challenges, Datasets, Evaluation Matrices
Hybrid Mobility Prediction of 802.11 Infrastructure Nodes by Location Tracking and Data Mining
Bag of Tricks and A Strong baseline for Image Copy Detection
Simple Destination-Swap Strategies for Adaptive Intra- and Inter-Tenant VM Migration
Cooperative Jamming for Wireless Physical Layer Security
Timed Automata Semantics for Visual e-Contracts
Linearization and Identification of Multiple-Attractors Dynamical System through Laplacian Eigenmaps
Computer-Aided Automated Detection of Gene-Controlled Social Actions of Drosophila
Practical exponential stability of a robust data-driven nonlinear predictive control scheme
Learning to Rank the Importance of Nodes in Road Networks Based on Multi-Graph Fusion
Sustainability: Scholarly Repository as an Enterprise
Numerical Comparison of Leja and Clenshaw-Curtis Dimension-Adaptive Collocation for Stochastic Parametric Electromagnetic Field Problems
Image inpainting enhancement by replacing the original mask with a self-attended region from the input image
A Fresh Look at Generalized Category Discovery through Non-negative Matrix Factorization
Target set selection problem for honeycomb networks
Can LLMs handle WebShell detection? Overcoming Detection Challenges with Behavioral Function-Aware Framework
MSRFormer: Road Network Representation Learning using Multi-scale Feature Fusion of Heterogeneous Spatial Interactions
Java Technology : a Strategic Solution for Interactive Distributed Applications
Algorithmes dynamiques pour la communication dans le réseau ad hoc Coloration des graphes
UTP2: Higher-Order Equational Reasoning by Pointing
On B-spline framelets derived from the unitary extension principle
A Language-based solution to enable Metaverse Retrieval
Machine learning methods for prediction of breakthrough curves in reactive porous media
Global technology access in biolabs - from DIY trend to an open source transformation
ContrastCAD: Contrastive Learning-based Representation Learning for Computer-Aided Design Models
One Step Preference Elicitation in Multi-Objective Bayesian Optimization
AutoCoder: Enhancing Code Large Language Model with AIEV-Instruct
A Novel No-reference Video Quality Metric for Evaluating Temporal Jerkiness due to Frame Freezing
A Comparison of Superposition Coding Schemes
Resources for Evaluation of Summarization Techniques
VoID-graph: Visualize Linked Datasets on the Web
Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and Roadmap
PlanarRecon: Real-time 3D Plane Detection and Reconstruction from Posed Monocular Videos
LaneSegNet Design Study
AR-PPF: Advanced Resolution-Based Pixel Preemption Data Filtering for Efficient Time-Series Data Analysis
A \texttt{Matlab} Toolbox for the Regularization of Descriptor Systems Arising from Generalized Realization Procedures
Extracting News Events from Microblogs
Affective Recommendation System for Tourists by Using Emotion Generating Calculations
The Role of Complex NLP in Transformers for Text Ranking?
Bike Renting Data Analysis: The Case of Dublin City
Mitigating Gender Bias via Fostering Exploratory Thinking in LLMs
Even Order Explicit Symplectic Geometric Algorithms for Quaternion Kinematical Differential Equation in Guidance Navigation and Control via Diagonal Padè Approximation and Cayley Transform
The Weak Galerkin Finite Element Method for the Transport-Reaction Equation
Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoireing
An optimizable scalar objective value cannot be objective and should not be the sole objective
On the $k$-error linear complexity for $2^n$-periodic binary sequences via Cube Theory
How Data Quality Affects Machine Learning Models for Credit Risk Assessment
Existence and Uniqueness of BVPs Defined on Semi-Infinite Intervals: Insight from the Iterative Transformation Method
Distributed Quantum Computing and Network Control for Accelerated VQE
Evaluate On-the-job Learning Dialogue Systems and a Case Study for Natural Language Understanding
Higher Order Gauge Equivariant CNNs on Riemannian Manifolds and Applications
Simplified Minimal Gated Unit Variations for Recurrent Neural Networks
On the concentration of the maximum degree in the duplication-divergence models
On the SIG dimension of trees under $L_{\infty}$ metric
Randomized Dimension Reduction with Statistical Guarantees
Multi-source Attention for Unsupervised Domain Adaptation
Diabetic Retinopathy Screening Using Custom-Designed Convolutional Neural Network
The Fallacy of Favoring Gradual Replacement Mind Uploading Over Scan-and-Copy
Thinking Slow about Latency Evaluation for Simultaneous Machine Translation
A Vision-Language Foundation Model for Leaf Disease Identification
SelectLLM: Can LLMs Select Important Instructions to Annotate?
AMSP: Super-Scaling LLM Training via Advanced Model States Partitioning
Distributed Policy Synthesis of Multi-Agent Systems With Graph Temporal Logic Specifications
Identity-aware Dual-constraint Network for Cloth-Changing Person Re-identification
On DICE-free Smart Cities, Particulate Matter, and Feedback-Enabled Access Control
BeePL: Correct-by-compilation kernel extensions
Competition between group interactions and nonlinearity in voter dynamics on hypergraphs
Non-Stop & Non-Breakable Code Review Services in a Distributed System: Detecting Issues in Real Time
Distilling Textual Priors from LLM to Efficient Image Fusion
Reinforcement Learning (RL) Augmented Cold Start Frequency Reduction in Serverless Computing
FOGNITE: Federated Learning-Enhanced Fog-Cloud Architecture
Most Permissive Semantics of Boolean Networks
Towards A Foundation Model for Generalist Robots: Diverse Skill Learning at Scale via Automated Task and Scene Generation
Sydr: Cutting Edge Dynamic Symbolic Execution
deHuBERT: Disentangling Noise in a Self-supervised Model for Robust Speech Recognition
Federated Natural Language Generation for Personalized Dialogue System
Towards a Benchmark and a Comparison Framework for Combinatorial Interaction Testing of Software Product Lines
Adaptive Generalized ZEM-ZEV Feedback Guidance for Planetary Landing via a Deep Reinforcement Learning Approach
A step towards neural genome assembly
Three-dimensional propagation and time-reversal of fluorescence images
SFX Miscellaneous Free Ejournals Target: Usage Survey among the SFX Community
Coherent Wave Dynamics and Language Generation of a Generative Pre-trained Transformer
Improved Redundancy Bounds for Exponential Objectives
Bridging the gap between learning and heuristic based pushing policies
Algorithmic Techniques for Several Optimization Problems Regarding Distributed Systems with Tree Topologies
Software Vulnerability Analysis Across Programming Language and Program Representation Landscapes: A Survey
Contrastive Multi-graph Learning with Neighbor Hierarchical Sifting for Semi-supervised Text Classification
You Cannot Always Win the Race: Analyzing the LFENCE/JMP Mitigation for Branch Target Injection
Early Stopping Chain-of-thoughts in Large Language Models
Independent sets and hitting sets of bicolored rectangular families
On the Locally Lipschitz Robustness of Bayesian Inverse Problems
DeepGini: Prioritizing Massive Tests to Reduce Labeling Cost
Lightweight Fault Detection Architecture for NTT on FPGA
Few-shot Learning Based on Multi-stage Transfer and Class-Balanced Loss for Diabetic Retinopathy Grading
Analysis of autocorrelation times in Neural Markov Chain Monte Carlo simulations
Refinement in the Tableau Synthesis Framework
NASIB: Neural Architecture Search withIn Budget
Measuring Human and Economic Activity from Satellite Imagery to Support City-Scale Decision-Making during COVID-19 Pandemic
Taming Text-to-Sounding Video Generation via Advanced Modality Condition and Interaction
Tabular-TX: Theme-Explanation Structure-based Table Summarization via In-Context Learning
TimeSenCLIP: A Vision-Language Model for Remote Sensing Using Single-Pixel Time Series
Fitting A Mixture Distribution to Data: Tutorial
DeMarking: A Defense for Network Flow Watermarking in Real-Time
Process Reward Modeling with Entropy-Driven Uncertainty
Building Encoder and Decoder with Deep Neural Networks: On the Way to Reality
More Separable and Easier to Segment: A Cluster Alignment Method for Cross-Domain Semantic Segmentation
Machine Learning to Predict the Antimicrobial Activity of Cold Atmospheric Plasma-Activated Liquids
HyMaTE: A Hybrid Mamba and Transformer Model for EHR Representation Learning
A review of potential barriers to the participation of electric vehicles in German balancing markets
Optimal Caching and User Association in Cache-enabled Heterogeneous Wireless Networks
Neural Morphological Tagging from Characters for Morphologically Rich Languages
Skipping Selected Steps of DWT Computation in Lossless JPEG 2000 for Improved Bitrates
Technical Report about Tiramisu: a Three-Layered Abstraction for Hiding Hardware Complexity from DSL Compilers
EpilNet: A Novel Approach to IoT based Epileptic Seizure Prediction and Diagnosis System using Artificial Intelligence
Object discovery and representation networks
A Cascaded Multi-IRSs Beamforming Method in mmWave Communication Systems
Concentration Inequalities for Multinoulli Random Variables
Analytic Performance Model of a Main-Memory Index Structure
Every Preference Changes Differently: Neural Multi-Interest Preference Model with Temporal Dynamics for Recommendation
'Context, Content, Process' Approach to Align Information Security Investments with Overall Organizational Strategy
Scaffolding Networks for Teaching and Learning to Comprehend
SRMT: Shared Memory for Multi-agent Lifelong Pathfinding
Third-degree Price Discrimination Versus Uniform Pricing
Sample-Based Online Generalized Assignment Problem with Unknown Poisson Arrivals
Distributed Computing in a Pandemic: A Review of Technologies available for Tackling COVID-19
Local Dissipativity Analysis of Nonlinear Systems
Scalable link prediction in Twitter using self-configured framework
Reliable-loc: Robust sequential LiDAR global localization in large-scale street scenes based on verifiable cues
Pretraining in Deep Reinforcement Learning: A Survey
Single-modal and Multi-modal False Arrhythmia Alarm Reduction using Attention-based Convolutional and Recurrent Neural Networks
Ultra-Reliable and Low-Latency Wireless Communication: Tail, Risk and Scale
ReCoGNet: Recurrent Context-Guided Network for 3D MRI Prostate Segmentation
Bayesian Inference of Diffusion Networks with Unknown Infection Times
Modular Control of Discrete Event System for Modeling and Mitigating Power System Cascading Failures
Obstacle Avoidance Using a Monocular Camera
Semi-Supervised Clustering with Contrastive Learning for Discovering New Intents
Spectral Barron space and deep neural network approximation
Cloud Computing Security in Business Information Systems
Analysis of Load-Altering Attacks Against Power Grids: A Rare-Event Sampling Approach
On Enhancing Genetic Algorithms Using New Crossovers
A Gap-Based Framework for Chinese Word Segmentation via Very Deep Convolutional Networks
Uncovering wall-shear stress dynamics from neural-network enhanced fluid flow measurements
Flocking Virtual Machines in Quest for Responsive IoT Cloud Services
On Clusters that are Separated but Large
SIMPACT: Simulation-Enabled Action Planning using Vision-Language Models
Physiological-Physical Feature Fusion for Automatic Voice Spoofing Detection
MedSeqFT: Sequential Fine-tuning Foundation Models for 3D Medical Image Segmentation
X- problem of value three
Partially-Observable Sequential Change-Point Detection for Autocorrelated Data via Upper Confidence Region
SDSN@RT: a middleware environment for single-instance multi-tenant cloud applications
Aspect OntoMaven - Aspect-Oriented Ontology Development and Configuration With OntoMaven
Person-MinkUNet: 3D Person Detection with LiDAR Point Cloud
Subspace-preserving sparsification of matrices with minimal perturbation to the near null-space. Part II: Approximation and Implementation
Performance Evaluation of Different Techniques for texture Classification
Automated Story Generation as Question-Answering
Sample Efficient Reinforcement Learning by Automatically Learning to Compose Subtasks
Question Answering System Using Syntactic Information
Scene-aware Egocentric 3D Human Pose Estimation
Deep Joint Source-Channel Coding for Adaptive Image Transmission over MIMO Channels
Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images
Animated Territorial Data Extractor (ATDE): A Computer-Vision Method for Extracting Territorial Data from Animated Historical Maps
Resize Me! Exploring the User Experience of Embodied Realistic Modulatable Avatars for Body Image Intervention in Virtual Reality
High-Performance Deep Learning via a Single Building Block
Are UFOs Driving Innovation? The Illusion of Causality in Large Language Models
Traffic Sign Recognition Using Local Vision Transformer
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
A Metric Driven Approach to Mixed Precision Training
Direct Reasoning Optimization: LLMs Can Reward And Refine Their Own Reasoning for Open-Ended Tasks
Microgravity Induces Overconfidence in Perceptual Decision-making
Minimax Estimation of the $L_1$ Distance
Few Is Enough: Task-Augmented Active Meta-Learning for Brain Cell Classification
Diversity of Transformer Layers: One Aspect of Parameter Scaling Laws
Difference Equations in Massive Higher Order Calculations
Robust Data-Driven 3-D Shape Servoing of Unmodeled Continuum Robots Using FBG Sensors in Unstructured Environments
Single-Server Private Information Retrieval with Side Information Under Arbitrary Popularity Profiles
Canonical foliations of neural networks: application to robustness
A Blast From the Past: Personalizing Predictions of Video-Induced Emotions using Personal Memories as Context
Personalization of Web Search During the 2020 US Elections
A correlation coefficient of belief functions
Learning Relevant Features for Manipulation Skills using Meta-Level Priors
Saturation of the morphisms in the database category
PAC-Bayesian Theorems for Domain Adaptation with Specialization to Linear Classifiers
LAPA-based Dynamic Privacy Optimization for Wireless Federated Learning in Heterogeneous Environments
Immuno-mimetic Deep Neural Networks (Immuno-Net)
A Minimalistic Approach to Predict and Understand the Relation of App Usage with Students' Academic Performances
Individual Tooth Detection and Identification from Dental Panoramic X-Ray Images via Point-wise Localization and Distance Regularization
Onboard Science Instrument Autonomy for the Detection of Microscopy Biosignatures on the Ocean Worlds Life Surveyor
Towards Reducing Bias in Gender Classification
Inter- and Intra-domain Knowledge Transfer for Related Tasks in Deep Character Recognition
A Multilingual African Embedding for FAQ Chatbots
Severability of mesoscale components and local time scales in dynamical networks
Bouncy particle sampler with infinite exchanging parallel tempering
A decision-theoretic approach to dealing with uncertainty in quantum mechanics
Structured Downsampling for Fast, Memory-efficient Curation of Online Data Streams
Improving Transducer-Based Spoken Language Understanding with Self-Conditioned CTC and Knowledge Transfer
Empirical Study of Sustaining the Actualized Value Propositions of Implemented E-Government Projects in Sub-Saharan Africa
How is Performance Addressed in DevOps? A Survey on Industrial Practices
SoK: Privacy Personalised - Mapping Personal Attributes & Preferences of Privacy Mechanisms for Shoulder Surfing
Domain Adaptor Networks for Hyperspectral Image Recognition
Finite Element Modeling of Surface Traveling Wave Friction Driven for Rotary Ultrasonic Motor
Pauli Fusion: a Computational Model to Realise Quantum Transformations from ZX Terms
Seeking Common Ground While Reserving Differences: Multiple Anatomy Collaborative Framework for Undersampled MRI Reconstruction
Solving the Class Imbalance Problem Using a Counterfactual Method for Data Augmentation