yusuke1997/dblp-id-title huggingface dataset:
Adaptive Scheduling in MCMC and Probabilistic Programming
Vivid-VR: Distilling Concepts from Text-to-Video Diffusion Transformer for Photorealistic Video Restoration
VideoMAR: Autoregressive Video Generatio with Continuous Tokens
Sub/super-stochastic matrix with applications to bipartite tracking control over signed networks
SBOM.EXE: Countering Dynamic Code Injection based on Software Bill of Materials in Java
Multi Agent based Medical Assistant for Edge Devices
Accurate Ground-Truth Depth Image Generation via Overfit Training of Point Cloud Registration using Local Frame Sets
Acceptance or Rejection of Lots while Minimizing and Controlling Type I and Type II Errors
Language Writ Large: LLMs, ChatGPT, Grounding, Meaning and Understanding
Stabilization of singularly perturbed networked control systems over a single channel
Mixed Reality Interface for Digital Twin of Plant Factory
Large Margin Image Set Representation and Classification
T-araVLN: Translator for Agricultural Robotic Agents on Vision-and-Language Navigation
Do interests affect grant application success? The role of organizational proximity
Multiple oligo nucleotide arrays: Methods to reduce manufacture time and cost
A Flexible Convolutional Solver with Application to Photorealistic Style Transfer
Modeling Dynamics with Deep Transition-Learning Networks
Automatic Minds: Cognitive Parallels Between Hypnotic States and Large Language Model Processing
The Trojan Example: Jailbreaking LLMs through Template Filling and Unsafety Reasoning
RIS-Aided Integrated Sensing and Communication Systems under Dual-polarized Channels
IDEAIS: Smart Voice Assistants to Improve Interaction with SDIs
Hypervector Design for Efficient Hyperdimensional Computing on Edge Devices
Optimal Prediction of Unmeasured Output from Measurable Outputs In LTI Systems
CylinderPlane: Nested Cylinder Representation for 3D-aware Image Generation
MalProtect: Stateful Defense Against Adversarial Query Attacks in ML-based Malware Detection
Panchromatic Sharpening of Remote Sensing Images Using a Multi-scale Approach
Decentralizing Coherent Joint Transmission Precoding via Deterministic Equivalents
Cascade Luminance and Chrominance for Image Retouching: More Like Artist
Controllability of Multilayer Networked Sampled-data Systems
On the Complexity of Neural Computation in Superposition
Extracting Inter-community Conflicts in Reddit
Human-Centered Explainability in Interactive Information Systems: A Survey
PSM: Policy Synchronised Deterministic Memory
DNA Probe Computing System for Solving NP-Complete Problems
Adaptive Decentralized Federated Learning in Energy and Latency Constrained Wireless Networks
Deep Learning Autoencoder Approach for Handwritten Arabic Digits Recognition
Agent-based Simulation of Blockchains
TalkToModel: Understanding Machine Learning Models With Open Ended Dialogues
Some mathematical models for flagellar activation mechanisms
Planar induced paths via a decomposition into non-crossing ordered graphs
Mode Collapse and Regularity of Optimal Transportation Maps
Encoding prior knowledge in the structure of the likelihood
A class of robust numerical methods for solving dynamical systems with multiple time scales
Convergence analysis of a two-grid method for nonsymmetric positive definite problems
FeatPCA: A feature subspace based principal component analysis technique for enhancing clustering of single-cell RNA-seq data
Closed-form Continuous-Depth Models
Grid Cells Are Ubiquitous in Neural Networks
MLP-SLAM: Multilayer Perceptron-Based Simultaneous Localization and Mapping With a Dynamic and Static Object Discriminator
CoxKAN: Kolmogorov-Arnold Networks for Interpretable, High-Performance Survival Analysis
Towards Accurate Spatiotemporal COVID-19 Risk Scores using High Resolution Real-World Mobility Data
On the End-to-End Solution to Mandarin-English Code-switching Speech Recognition
Lethean Attack: An Online Data Poisoning Technique
Multi-tier Drone Architecture for 5G/B5G Cellular Networks: Challenges, Trends, and Prospects
The premise of approximate MCMC in Bayesian deep learning
A Networked Reduced Model for Electrical Networks with Constant Power Loads
Gait recognition via deep learning of the center-of-pressure trajectory
Prediction of acoustic field in 1-D uniform duct with varying mean flow and temperature using neural networks
A Case Study of Deep-Learned Activations via Hand-Crafted Audio Features
Denoising the 3-Base Periodicity Walks of DNA Sequences in Gene Finding
Analyzing vehicle pedestrian interactions combining data cube structure and predictive collision risk estimation model
High-performance Passive Eigen-model-based Detectors of Single Emitter Using Massive MIMO Receivers
The State of Commercial Automatic French Legal Speech Recognition Systems and their Impact on Court Reporters et al
Latency Evaluation of a Virtualized MME
Equivariant Spherical CNN for Data Efficient and High-Performance Medical Image Processing
PDFgetXgui: a graphical user interface for PDFgetX3 for high throughput pair distribution function transformation and visualization
AudioFormer: Audio Transformer learns audio feature representations from discrete acoustic codes
Node.DPWS: High performance and scalable Web Services for the IoT
FractalAD: A simple industrial anomaly segmentation method using fractal anomaly generation and backbone knowledge distillation
Multiple Resource Allocation in Multi-Tenant Edge Computing via Sub-modular Optimization
A New Control Law for TS Fuzzy Models: Less Conservative LMI Conditions by Using Membership Functions Derivative
Clustering Deposit and Withdrawal Activity in Tornado Cash: A Cross-Chain Analysis
Evaluating Embeddings for One-Shot Classification of Doctor-AI Consultations
A Simple Yao-Yao-Based Spanner of Bounded Degree
ShEMO - A Large-Scale Validated Database for Persian Speech Emotion Detection
The Fundamental Limits of Interval Arithmetic for Neural Networks
Exploring Transformers for Behavioural Biometrics: A Case Study in Gait Recognition
Educational Game on Cryptocurrency Investment: Using Microeconomic Decision Making to Understand Macroeconomic Principles
UAV Tracking with Lidar as a Camera Sensors in GNSS-Denied Environments
On Finding a Subset of Healthy Individuals from a Large Population
Guess Where? Actor-Supervision for Spatiotemporal Action Localization
Upgraded W-Net with Attention Gates and its Application in Unsupervised 3D Liver Segmentation
A Moral Agency Framework for Legitimate Integration of AI in Bureaucracies
PaddleOCR-VL: Boosting Multilingual Document Parsing via a 0.9B Ultra-Compact Vision-Language Model
Reconstruction of a Space-Time Dependent Source in Subdiffusion Models via a Perturbation Approach
Transition Property for α-Power Free Languages with α≥2 and k≥3 Letters
Who is the root in a syntactic dependency structure?
Vibe Learning: Education in the age of AI
Practical Power System Inertia Monitoring Based on Pumped Storage Hydropower Operation Signature
GRNND: A GPU-Parallel Relative NN-Descent Algorithm for Efficient Approximate Nearest Neighbor Graph Construction
A dual algorithm for a class of augmented convex models
Optimal shift-invariant spaces from uniform measurements
Establishing Knowledge Preference in Language Models
A Framework Combining 3D CNN and Transformer for Video-Based Behavior Recognition
Comparative Evaluation of Explainable Machine Learning Versus Linear Regression for Predicting County-Level Lung Cancer Mortality Rate in the United States
From Nodes to Networks: Evolving Recurrent Neural Networks
A survey to measure cognitive biases influencing mobility choices
Copy-Move Detection in Optical Microscopy: A Segmentation Network and A Dataset
A New Coreset Framework for Clustering
A Universal Technique for Machine-Certified Proofs of Linearizable Algorithms
Understanding symmetries in deep networks
Improving Soft FEC Performance for Higher-Order Modulations by Bit Mapper Optimization
SeqPoint: Identifying Representative Iterations of Sequence-based Neural Networks
PointAvatar: Deformable Point-based Head Avatars from Videos
Exploring Data Aggregation and Transformations to Generalize across Visual Domains
Adding numbers with spiking neural circuits on neuromorphic hardware
PhaseLift: Exact and Stable Signal Recovery from Magnitude Measurements via Convex Programming
Compositional Estimation of Lipschitz Constants for Deep Neural Networks
A HAT Trick: Automatically Verifying Representation Invariants Using Symbolic Finite Automata
Enhancing Human-Machine Teaming for Medical Prognosis Through Neural Ordinary Differential Equations (NODEs)
A note on order-type homogeneous point sets
Sorting multibay block stacking storage systems
Noisy Label Processing for Classification: A Survey
Multiparameter regularization and aggregation in the context of polynomial functional regression
To Measure What Isn't There - Visual Exploration of Missingness Structures Using Quality Metrics
GeoVideo: Introducing Geometric Regularization into Video Generation Model
Active Learning in the Overparameterized and Interpolating Regime
Robust Instruction Optimization for Large Language Models with Distribution Shifts
SiTe CiM: Signed Ternary Computing-in-Memory for Ultra-Low Precision Deep Neural Networks
Gaussian Processes and Reproducing Kernels: Connections and Equivalences
Correlation-Aware Feature Attribution Based Explainable AI
Regularization is all you Need: Simple Neural Nets can Excel on Tabular Data
SCENE: Evaluating Explainable AI Techniques Using Soft Counterfactuals
XAI-based Feature Selection for Improved Network Intrusion Detection Systems
Ultimate crack and lack of any security in the statistical key exchange protocol with random signals and feedback
Exploring the Alignment of Perceived and Measured Sleep Quality with Working Memory using Consumer Wearables
Arboricity and Random Edge Queries Matter for Triangle Counting using Sublinear Queries
Machine Learning Experiences: A story of learning AI for use in enterprise software testing that can be used by anyone
A Time-Barrier Lyapunov Condition for Predefined-Time Stability
Self Learning from Large Scale Code Corpus to Infer Structure of Method Invocations
Normalizing Flows Across Dimensions
Combinatorial Optimization on Gate Model Quantum Computers: A Survey
Simulation as Experiment: An Empirical Critique of Simulation Research on Recommender Systems
Recurrent Few-Shot model for Document Verification
Statistical Topic Models for Multi-Label Document Classification
One-Sided Device-Independent Certification of Unbounded Random Numbers
Physical Limits and Optimal Synthesis of Beyond Diagonal Anomalous Scatterers
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition
An Exploration of the Role of Principal Inertia Components in Information Theory
Subtitled Media Adaptations for People with Aphasia: Ongoing Accessibility Barriers and Emerging Design Practices
A Review of Literature on Parallel Constraint Solving
A Survey on Online User Aggression: Content Detection and Behavioural Analysis on Social Media Platforms
Experimental Convergence Rate Study for Three Shock-Capturing Schemes and Development of Highly Accurate Combined Schemes
AID-DTI: Accelerating High-fidelity Diffusion Tensor Imaging with Detail-Preserving Model-based Deep Learning
Performance Evaluation of Single-step Explicit Exponential Integration Methods on Stiff Ordinary Differential Equations
HopWeaver: Synthesizing Authentic Multi-Hop Questions Across Text Corpora
Extended LSTM: Adaptive Feature Gating for Toxic Comment Classification
Online Ranking with Concept Drifts in Streaming Data
Capturing Evidence From Wireless Internet Services Development
Surely Large Multimodal Models (Don't) Excel in Visual Species Recognition?
Analyze and Development System with Multiple Biometric Identification
Graph-Attentive MAPPO for Dynamic Retail Pricing
A Study on various state of the art of the Art Face Recognition System using Deep Learning Techniques
ArchISMiner: A Framework for Automatic Mining of Architectural Issue-Solution Pairs from Online Developer Communities
Prompt Tuning for Few-Shot Continual Learning Named Entity Recognition
VIRTUS-FPP: Virtual Sensor Modeling for Fringe Projection Profilometry in NVIDIA Isaac Sim
New Design of Reversible Full Adder/Subtractor using R gate
Predicting Vulnerability to Malware Using Machine Learning Models: A Study on Microsoft Windows Machines
Extreme Scaling of Supercomputing with Stranded Power: Costs and Capabilities
NDlib: a Python Library to Model and Analyze Diffusion Processes Over Complex Networks
Text-to-SPARQL Goes Beyond English: Multilingual Question Answering Over Knowledge Graphs through Human-Inspired Reasoning
Silent Abandonment in Contact Centers: Estimating Customer Patience from Uncertain Data
Machine-Learning Enhanced Predictors for Accelerated Convergence of Partitioned Fluid-Structure Interaction Simulations
On the expressive power of query languages for matrices
Modeling Information Acquisition and Social Learning Dynamics: A Rational Inattention Perspective
A Fast Method For Computing Principal Curvatures From Range Images
FADACS: A Few-shot Adversarial Domain Adaptation Architecture for Context-Aware Parking Availability Sensing
so much depends / upon / a whitespace: Why Whitespace Matters for Poets and LLMs
Loginson: a transform and load system for very large scale log analysis in large IT infrastructures
SLIDE: Sliding Localized Information for Document Extraction
A Cross-Chain Query Language for Application-Level Interoperability Between Open and Permissionless Blockchains
Non-contact Vital Signs Detection in Dynamic Environments
Social Welfare in One-sided Matching Markets without Money
Model Tells You Where to Merge: Adaptive KV Cache Merging for LLMs on Long-Context Tasks
Structure-Informed Deep Reinforcement Learning for Inventory Management
Sequences of linear codes where the rate times distance grows rapidly
Bag of Tricks for Natural Policy Gradient Reinforcement Learning
Periodic minimum in the count of binomial coefficients not divisible by a prime
Behavioural Effects of Agentic Messaging: A Case Study on a Financial Service Application
Dynamic management of transactions in distributed real-time processing system
Online optimization and regret guarantees for non-additive long-term constraints
Learning Schatten-Von Neumann Operators
Culturomics meets random fractal theory: Insights into long-range correlations of social and natural phenomena over the past two centuries
Characterizing the Predictive Accuracy of Dynamic Mode Decomposition for Data-Driven Control
LUCY: Linguistic Understanding and Control Yielding Early Stage of Her
Predicting Drug Responses by Propagating Interactions through Text-Enhanced Drug-Gene Networks
Study of software developers' experience using the Github Copilot Tool in the software development process
Collapse and Collision Aware Grasping for Cluttered Shelf Picking
FSCNN: A Fast Sparse Convolution Neural Network Inference System
Causality and Networks
A Vertical Federated Learning Method for Interpretable Scorecard and Its Application in Credit Scoring
Indonesian's presidential social media campaigns
Characteristic-Dependent Linear Rank Inequalities via Complementary Vector Spaces
A Survey on Wi-Fi Sensing Generalizability: Taxonomy, Techniques, Datasets, and Future Research Prospects
CAMO: Causality-Guided Adversarial Multimodal Domain Generalization for Crisis Classification
A Finite State and Rule-based Akshara to Prosodeme (A2P) Converter in Hindi
Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology
Accurate Parameter-Efficient Test-Time Adaptation for Time Series Forecasting
Optimization and analysis of large scale data sorting algorithm based on Hadoop
Editable Graph Neural Network for Node Classifications
A New family of methods for solving delay differential equations
Spatial-Aware VLA Pretraining through Visual-Physical Alignment from Human Videos
Inverse Probability of Treatment Weighting with Deep Sequence Models Enables Accurate treatment effect Estimation from Electronic Health Records
A Model Predictive Approach for Enhancing Transient Stability of Grid-Forming Converters
Performing edge detection by difference of Gaussians using q-Gaussian kernels
L p -Norm Constrained Coding With Frank-Wolfe Network
Intelligent Reflecting Surface Aided Secure UAV Communications
Human Action Recognition in Egocentric Perspective Using 2D Object and Hands Pose
Energy-efficient topology to enhance the wireless sensor network lifetime using connectivity control
AI for Accessible Education: Personalized Audio-Based Learning for Blind Students
UnrealROX: An eXtremely Photorealistic Virtual Reality Environment for Robotics Simulations and Synthetic Data Generation
New User-Irrepressible Protocol Sequences
The Effects of Partitioning Strategies on Energy Consumption in Distributed CNN Inference at The Edge
Cascaded Asymmetric Local Pattern: A Novel Descriptor for Unconstrained Facial Image Recognition and Retrieval
Efficient Scaling for LLM-based ASR
Designing Toward Minimalism in Vehicle HMI
On Erlang mixture approximations for differential equations with distributed time delays
Error estimates of linear decoupled structure-preserving incremental viscosity splitting methods for the Cahn-Hilliard-Navier-Stokes system
An Investigation Into On-device Personalization of End-to-end Automatic Speech Recognition Models
Efficient Constrained Pattern Mining Using Dynamic Item Ordering for Explainable Classification
Using asynchronous simulation approach for interactive simulation
Deep Transfer Network: Unsupervised Domain Adaptation
The Case for a Single Model that can Both Generate Continuations and Fill in the Blank
Evolutionary hypergame dynamics: Introspection reasoning and social learning
The Geometric Maximum Traveling Salesman Problem
Ordering regular languages: a danger zone
A Comprehensive Analysis of the Role of Artificial Intelligence and Machine Learning in Modern Digital Forensics and Incident Response
Fidelity Estimation Improves Noisy-Image Classification with Pretrained Networks
A Multi QoS Genetic-Based Adaptive Routing In Wireless Mesh Networks With Pareto Solutions
Grimoire is All You Need for Enhancing Large Language Models
Robust and Automatic Data Clustering: Dirichlet Process meets Median-of-Means
Computing with Chemical Reaction Networks: A Tutorial
Mixed-Reality-Guided Teleoperation of a Collaborative Robot for Surgical Procedures
Model-based Hand Pose Estimation for Generalized Hand Shape with Appearance Normalization
Towards meaningful physics from generative models
Innovative Digital Storytelling with AIGC: Exploration and Discussion of Recent Advances
Trajectory Encoding Temporal Graph Networks
Efficient Computation of Expected Hypervolume Improvement Using Box Decomposition Algorithms
Less is More: Accelerating Faster Neural Networks Straight from JPEG
Characterization of topological structures in different neural network architectures
Fusion of Pervasive RF Data with Spatial Images via Vision Transformers for Enhanced Mapping in Smart Cities
Enhancing congestion control to address link failure loss over mobile ad-hoc network
Action Dependent Strictly Causal State Communication
Sparse Command Generator for Remote Control
Fourier Imager Network (FIN): A deep neural network for hologram reconstruction with superior external generalization
Voice Conversion for Stuttered Speech, Instruments, Unseen Languages and Textually Described Voices
Nonparametric regression with modified ReLU networks
Real, Fake, or Manipulated? Detecting Machine-Influenced Text
Automatic Observer Script for StarCraft: Brood War Bot Games (technical report)
Equivariant Machine Learning Decoder for 3D Toric Codes
Physical Adversarial Attacks For Camera-based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook
From Detection to Discovery: A Closed-Loop Approach for Simultaneous and Continuous Medical Knowledge Expansion and Depression Detection on Social Media
A One-Class Explainable AI Framework for Identification of Non-Stationary Concurrent False Data Injections in Nuclear Reactor Signals
Prognostic Power of Texture Based Morphological Operations in a Radiomics Study for Lung Cancer
A Survey on Moral Foundation Theory and Pre-Trained Language Models: Current Advances and Challenges
Exploring Generative AI Techniques in Government: A Case Study
Frameworks for Designing In-place Graph Algorithms
An Overview on the Web of Clinical Data
Numerical Investigation of Sequence Modeling Theory using Controllable Memory Functions
Whiteness-based bilevel learning of regularization parameters in imaging
Superpixel Based Segmentation and Classification of Polyps in Wireless Capsule Endoscopy
Time-dependent Personalized PageRank for temporal networks: discrete and continuous scales
ST-GRIT: Spatio-Temporal Graph Transformer For Internal Ice Layer Thickness Prediction
Adaptive refinement in defeaturing problems via an equilibrated flux a posteriori error estimator
Strategic Prediction with Latent Aggregative Games
Heart Rate Variability and Respiration Signal as Diagnostic Tools for Late Onset Sepsis in Neonatal Intensive Care Units
Ordinal Regression via Binary Preference vs Simple Regression: Statistical and Experimental Perspectives
Pooling And Attention: What Are Effective Designs For LLM-Based Embedding Models?
Bounded verification of message-passing concurrency in Go using Promela and Spin
Measurement-aligned Flow for Inverse Problem
Accurate Prediction Using Triangular Type-2 Fuzzy Linear Regression
OmniSR: Shadow Removal under Direct and Indirect Lighting
Heterogeneous sound classification with the Broad Sound Taxonomy and Dataset
Unsupervised Learning for Large-Scale Fiber Detection and Tracking in Microscopic Material Images
CutS3D: Cutting Semantics in 3D for 2D Unsupervised Instance Segmentation
Detecting Curve Text in the Wild: New Dataset and New Solution
Context-Based Soft Actor Critic for Environments with Non-stationary Dynamics
Towards a Unified Belief Structure in Games with indeterminate probabilities
Training Full Spike Neural Networks via Auxiliary Accumulation Pathway
Semi-Automatically Extracting FAQs to Improve Accessibility of Software Development Knowledge
Assessing Privacy Policies with AI: Ethical, Legal, and Technical Challenges
An End-to-end Planning Framework with Agentic LLMs and PDDL
Neural Network Approximations for Calabi-Yau Metrics
Roundtable Gossip Algorithm: A Novel Sparse Trust Mining Method for Large-scale Recommendation Systems
Q-COSMIC: Quantum Software Metrics Based on COSMIC (ISO/IEC19761)
RTAT: A Robust Two-stage Association Tracker for Multi-Object Tracking
FLEXITOKENS: Flexible Tokenization for Evolving Language Models
Asymptotic Derivation of Equivalent Circuit Model for the Stack-Electrode Supercapacitors
Dynamics of Opinions with Social Biases
Multilevel regression with poststratification for the national level Viber/Street poll on the 2020 presidential election in Belarus
Mobile-Based COVID-19 Vaccination Registration Application Prototype
Playpen: An Environment for Exploring Learning Through Conversational Interaction
Ioco Theory for Probabilistic Automata
Quantum finite automata and linear context-free languages: a decidable problem
Performance Comparison of Contention- and Schedule-based MAC Protocols in Urban Parking Sensor Networks
Improving brain computer interface performance by data augmentation with conditional Deep Convolutional Generative Adversarial Networks
FutureX: Enhance End-to-End Autonomous Driving via Latent Chain-of-Thought World Model
OpenTwins: An open-source framework for the design, development and integration of effective 3D-IoT-AI-powered digital twins
Federated Sparse Training: Lottery Aware Model Compression for Resource Constrained Edge
Online model error correction with neural networks: application to the Integrated Forecasting System
The dynamics of publishing of posts and comments on facebook (the russian segment, the first five months of 2013)
Learning Audio-Visual embedding for Wild Person Verification
SORCE: Small Object Retrieval in Complex Environments
E-ANT: A Large-Scale Dataset for Efficient Automatic GUI NavigaTion
A note on hitting maximum and maximal cliques with a stable set