yusuke1997/dblp-id-title huggingface dataset:
PAME: Self-Supervised Masked Autoencoder for No-Reference Point Cloud Quality Assessment
ANPrompt: Anti-noise Prompt Tuning for Vision-Language Models
Building English ASR model with regional language support
Prevalent Frequency of Emotional and Physical Symptoms in Social Anxiety using Zero Shot Classification: An Observational Study
Emotion Recognition under Consideration of the Emotion Component Process Model
Scalability Evaluation of HPC Multi-GPU Training for ECG-based LLMs
An anti-incursion algorithm for unknown probabilistic adversaries on connected graphs
Bounds on the Maximum Number of Concurrent Links in MIMO Ad Hoc Networks with QoS Constraints
Ultra-Low Bitrate Perceptual Image Compression with Shallow Encoder
Sliding-mode theory under feedback constraints and the problem of epidemic control
Optimal Codeword Construction for DNA-based Finite Automata
Secure and Robust Transmission and Veri?cation of Unknown Quantum States in Minkowski Space
Adaptive Deep Reasoning: Triggering Deep Thinking When Needed
Black-Scholes Option Pricing on Intel CPUs and GPUs: Implementation on SYCL and Optimization Techniques
Contraction Theory for Nonlinear Stability Analysis and Learning-based Control: A Tutorial Overview
UniG: Modelling Unitary 3D Gaussians for View-consistent 3D Reconstruction
PCR-ORB: Enhanced ORB-SLAM3 with Point Cloud Refinement Using Deep Learning-Based Dynamic Object Filtering
FRANCIS: Fast Reaction Algorithms for Network Coordination In Switches
Differentiable Data Augmentation with Kornia
A Symmetric Keyring Encryption Scheme for Biometric Cryptosystems
Accelerated Cloud for Artificial Intelligence (ACAI)
RProtoBuf: Efficient Cross-Language Data Serialization in R
Constrained Physics-Informed Deep Learning for Stable System Identification and Control of Unknown Linear Systems
Advancing Medical Image Segmentation with Mini-Net: A Lightweight Solution Tailored for Efficient Segmentation of Medical Images
Searching for Pneumothorax in X-Ray Images Using Autoencoded Deep Features
Scaling Reasoning can Improve Factuality in Large Language Models
Deep Meta Learning for Real-Time Visual Tracking based on Target-Specific Feature Space
CFDBench: A Comprehensive Benchmark for Machine Learning Methods in Fluid Dynamics
An Improved Large-Signal Order Reduction Method of Microgrids with Stability and Accuracy Assessment
Differentially Private User-based Collaborative Filtering Recommendation Based on K-means Clustering
A deep learning algorithm for the stable manifolds of the Hamilton-Jacobi equations
Probabilistic Region-of-Attraction Estimation with Scenario Optimization and Converse Theorems
Comparative study of space filling curves for cache oblivious TU Decomposition
DEEPBEAS3D: Deep Learning and B-Spline Explicit Active Surfaces
ChatGPT Makes Medicine Easy to Swallow: An Exploratory Case Study on Simplified Radiology Reports
Exact and Heuristic Algorithms for Constrained Biclustering
Additive complementary dual codes over F 4
Antiassociative algebra in R: introducing the evitaicossa package
An Improved k-Nearest Neighbor Algorithm for Text Categorization
Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statistics
AAAI 2022 Fall Symposium: Lessons Learned for Autonomous Assessment of Machine Abilities (LLAAMA)
CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning
DV-Det: Efficient 3D Point Cloud Object Detection with Dynamic Voxelization
Some Subclasses of Linear Languages based on Nondeterministic Linear Automata
On the Measurement of Privacy as an Attacker's Estimation Error
Semantic Annotation: The Mainstay of Semantic Web
Reconstruction of Contour Lines During the Digitization of Contour Maps to Build a Digital Elevation Model
The Role and Mechanism of Deep Statistical Machine Learning In Biological Target Screening and Immune Microenvironment Regulation of Asthma
Iterative Hard Thresholding Methods for $l_0$ Regularized Convex Cone Programming
Predictive Position Control for Movable Antenna Arrays in UAV Communications: A Spatio-Temporal Transformer-LSTM Framework
RUSSE'2020: Findings of the First Taxonomy Enrichment Task for the Russian language
E-Business Experiences with Online Auctions
2048: Reinforcement Learning in a Delayed Reward Environment
Speech foundation models on intelligibility prediction for hearing-impaired listeners
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback
Why the Internet is so 'small'?
Inverse Density as an Inverse Problem: The Fredholm Equation Approach
Steering LLM Reasoning Through Bias-Only Adaptation
A policy and legal Open Science framework: a proposal
Regression generation adversarial network based on dual data evaluation strategy for industrial application
A Scalable and Statistically Robust Beam Alignment Technique for mm-Wave Systems
Physics-informed neural network for modeling dynamic linear elasticity
NeuBM: Mitigating Model Bias in Graph Neural Networks through Neutral Input Calibration
RoI Tanh-polar Transformer Network for Face Parsing in the Wild
Detection Is Tracking: Point Cloud Multi-Sweep Deep Learning Models Revisited
Singleton-Optimized Conformal Prediction
Stress Detection Using PPG Signal and Combined Deep CNN-MLP Network
Functional Consistency of LLM Code Embeddings: A Self-Evolving Data Synthesis Framework for Benchmarking
CoT-MISR: Marrying Convolution and Transformer for Multi-Image Super-Resolution
A high-precision underwater object detection based on joint self-supervised deblurring and improved spatial transformer network
Hierarchical Constrained Stochastic Shortest Path Planning via Cost Budget Allocation
SlowFast Network for Continuous Sign Language Recognition
Learning Trajectory Prediction with Continuous Inverse Optimal Control via Langevin Sampling of Energy-Based Models
Fair Clustering: Critique, Caveats, and Future Directions
Chain-of-Thought Enhanced Shallow Transformers for Wireless Symbol Detection
Personalized Prediction By Learning Halfspace Reference Classes Under Well-Behaved Distribution
pmSensing: A Participatory Sensing Network for Predictive Monitoring of Particulate Matter
Efficient Bit-Channel Reliability Computation for Multi-Mode Polar Code Encoders and Decoders
Pipeline-Invariant Representation Learning for Neuroimaging
SPATIA: Multimodal Model for Prediction and Generation of Spatial Cell Phenotypes
Multi-level decision framework collision avoidance algorithm in emergency scenarios
From Noise to Knowledge: Interactive Summaries for Developer Alerts
Optimal linear Bernoulli factories for small mean problems
Motion Guided Token Compression for Efficient Masked Video Modeling
Characterizing dynamically varying acoustic scenes from egocentric audio recordings in workplace setting
Validity of a clinical decision rule based alert system for drug dose adjustment in patients with renal failure intended to improve pharmacists' analysis of medication orders in hospitals
Our House is Our Glassy Castle: Challenges of Pervasive Computing in Private Spaces
Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models
Proper tangential vector field for the wall shear stress evaluation in numerical blood flow simulations in human carotis tree
Decision-theoretic MPC: Motion Planning with Weighted Maneuver Preferences Under Uncertainty
Double Matching Under Complementary Preferences
Neuronal Temporal Filters as Normal Mode Extractors
Finite/fixed-time Stabilization of Linear Systems with States Quantization
Motion planning in task space with Gromov-Hausdorff approximations
Multilingual ontology matching based on Wiktionary data accessible via SPARQL endpoint
Multivariate Pair Trading by Volatility & Model Adaption Trade-off
LyAm: Robust Non-Convex Optimization for Stable Learning in Noisy Environments
PACSan: Enforcing Memory Safety Based on ARM PA
Stealthy Low-frequency Backdoor Attack against Deep Neural Networks
Insights into Deep Non-linear Filters for Improved Multi-channel Speech Enhancement
Understanding complex predictive models with Ghost Variables
BCE-Net: Reliable Building Footprints Change Extraction based on Historical Map and Up-to-Date Images using Contrastive Learning
On the Interplay between Positional Encodings, Morphological Complexity, and Word Order Flexibility
Separators and Adjustment Sets in Causal Graphs: Complete Criteria and an Algorithmic Framework
Creating a Cybersecurity Concept Inventory: A Status Report on the CATS Project
Quantum POMDPs
Spatio-Temporal Split Learning for Autonomous Aerial Surveillance using Urban Air Mobility (UAM) Networks
QoS prediction in radio vehicular environments via prior user information
Scholar Name Disambiguation with Search-enhanced LLM Across Language
Discrete minimizers of the interaction energy in collective behavior: a brief numerical and analytic review
Session-based Sequential Skip Prediction via Recurrent Neural Networks
Nonparametric feature extraction based on Minimax distance
The FEM approach to the 2D Poisson equation in 'meshes' optimized with the Metropolis algorithm
Towards an Efficient Voice Identification Using Wav2Vec2.0 and HuBERT Based on the Quran Reciters Dataset
Detection Defense Against Adversarial Attacks with Saliency Map
Efficient nonlinear manifold reduced order model
Automatically finding atomic regions for fixing bugs in Concurrent programs
A Diffusion-Based Framework for High-Resolution Precipitation Forecasting over CONUS
BEBERT: Efficient and robust binary ensemble BERT
Leveraging Speech PTM, Text LLM, and Emotional TTS for Speech Emotion Recognition
Features and Kernels for Audio Event Recognition
BrlAPI: Simple, Portable, Concurrent, Application-level Control of Braille Terminals
Large Language Model-Based Generation of Discharge Summaries
Patch Attack for Automatic Check-out
Object Relation Detection Based on One-shot Learning
Magentic-UI: Towards Human-in-the-loop Agentic Systems
Adaptive Fast-and-Slow Visual Program Reasoning for Long-Form VideoQA
Strategic Insights From Playing the Quantum Tic-Tac-Toe
Foundational theory for optimal decision tree problems. I. Algorithmic and geometric foundations
Crowdsourcing Dilemma
A self-organizing fuzzy neural network for sequence learning
Matrix-Forest Theorems
Explanations for Answer Set Programming
Acoustic feature learning using cross-domain articulatory measurements
DiffAM: Diffusion-based Adversarial Makeup Transfer for Facial Privacy Protection
Semi-Supervised Segmentation of Salt Bodies in Seismic Images using an Ensemble of Convolutional Neural Networks
Joint Spatio-Temporal Boundary Detection and Boundary Flow Prediction with a Fully Convolutional Siamese Network
Exploring Video-Based Driver Activity Recognition under Noisy Labels
Semi-Supervised Junction Tree Variational Autoencoder for Molecular Property Prediction
AffectGPT-R1: Leveraging Reinforcement Learning for Open-Vocabulary Emotion Recognition
Towards Signboard-Oriented Visual Question Answering: ViSignVQA Dataset, Method and Benchmark
Sparse is Enough in Fine-tuning Pre-trained Large Language Model
A model learning framework for inferring the dynamics of transmission rate depending on exogenous variables for epidemic forecasts
Who is Introducing the Failure? Automatically Attributing Failures of Multi-Agent Systems via Spectrum Analysis
A correct even-odd algorithm for the point-in-polygon (PIP) problem for complex polygons
Trajectory Planning for Teleoperated Space Manipulators Using Deep Reinforcement Learning
Derivative coordinates for analytic tree fractals and fractal engineering
Learning the Hypotheses Space from data Part II: Convergence and Feasibility
Image inpainting using frequency domain priors
TAMFormer: Multi-Modal Transformer with Learned Attention Mask for Early Intent Prediction
Vacaspati: A Diverse Corpus of Bangla Literature
M&M Mix: A Multimodal Multiview Transformer Ensemble
Free Discontinuity Design: With an Application to the Economic Effects of Internet Shutdowns
Vision-Based Detection of Uncooperative Targets and Components on Small Satellites
Using Discriminative Methods to Learn Fashion Compatibility Across Datasets
GitEvolve: Predicting the Evolution of GitHub Repositories
Balanced Butterfly Counting in Bipartite-Network
Enhancing Air Quality Monitoring: A Brief Review of Federated Learning Advances
SCAR: Power Side-Channel Analysis at RTL-Level
A generalized model for data science
Deep Generative Models for Physiological Signals: A Systematic Literature Review
Exploiting Correlation among Data Items for Cache Replacement in Ad-hoc Networks
A note on improvement by iteration for the approximate solutions of second kind Fredholm integral equations with Green's kernels
Positive Low-Rank Tensor Completion
Medical AI for Early Detection of Lung Cancer: A Survey
Novel Human Machine Interface via Robust Hand Gesture Recognition System using Channel Pruned YOLOv5s Model
Co-design of Embodied Neural Intelligence via Constrained Evolution
Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime
PLM-Based Discrete Diffusion Language Models with Entropy-Adaptive Gibbs Sampling
Convolutional Analysis Operator Learning: Acceleration, Convergence, Application, and Neural Networks
In praise of the referee
Guarantees and Limits of Preprocessing in Constraint Satisfaction and Reasoning
Assessing the Effectiveness of Membership Inference on Generative Music
Exploring Human-LLM Conversations: Mental Models and the Originator of Toxicity
Can Character-based Language Models Improve Downstream Task Performance in Low-Resource and Noisy Language Scenarios?
PCT and Beyond: Towards a Computational Framework for 'Intelligent' Communicative Systems
PL-kNN: A Parameterless Nearest Neighbors Classifier
Small-Support Approximate Correlated Equilibria
Efficient Optimal Transport Algorithm by Accelerated Gradient descent
SSD Set System, Graph Decomposition and Hamiltonian Cycle
DCL-Sparse: Distributed Range-only Cooperative Localization of Multi-Robots in Noisy and Sparse Sensing Graphs
Computing the Number of Affine Equivalence Classes of Boolean Functions modulo Functions of Different Degrees
Modelling Non-Linear Consensus Dynamics on Hypergraphs
Information Aggregation in Exponential Family Markets
Real-time elastic partial shape matching using a neural network-based adjoint method
DreamDA: Generative Data Augmentation with Diffusion Models
Tactical Network Modeller Simulation Tool Combined discrete event and network back-ends
Evolutionary Multitask Optimization: Are we Moving in the Right Direction?
Contextual Regression: An Accurate and Conveniently Interpretable Nonlinear Model for Mining Discovery from Scientific Data
Optimizing Governed Blockchains for Financial Process Authentications
Constructing a variational quasi-reversibility method for a Cauchy problem for elliptic equations
Bundle Recommendation with Item-level Causation-enhanced Multi-view Learning
Testing the Consistency of Performance Scores Reported for Binary Classification Problems
RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-guided Disease Classification
Towards a Healthy AI Tradition: Lessons from Biology and Biomedical Science
CryoCiM: Cryogenic Compute-in-Memory based on the Quantum Anomalous Hall Effect
AegisLLM: Scaling Agentic Systems for Self-Reflective Defense in LLM Security
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyond
Ensemble-Based Event Camera Place Recognition Under Varying Illumination
A Geometric Analysis of Gains from Trade
Classification from Pairwise Similarities/Dissimilarities and Unlabeled Data via Empirical Risk Minimization
Feature Interaction based Neural Network for Click-Through Rate Prediction
Real-time 3D Nanoscale Coherent Imaging via Physics-aware Deep Learning
Mean Field Game and Control for Switching Hybrid Systems
End-to-End Mutual-Coupling-Aware Communication Model for Reconfigurable Intelligent Surfaces: An Electromagnetic-Compliant Approach Based on Mutual Impedances
Detecting LLM-Assisted Writing in Scientific Communication: Are We There Yet?
Sparse Canonical Correlation Analysis via Concave Minimization
Erased or Dormant? Rethinking Concept Erasure Through Reversibility
RetiNet: Automatic AMD identification in OCT volumetric data
Arabic Little STT: Arabic Children Speech Recognition Dataset
Like a Martial Arts Dodge: Safe Expeditious Whole-Body Control of Mobile Manipulators for Collision Avoidance
Tabular Transfer Learning via Prompting LLMs
On the Impact of Geometry on Ad Hoc Communication in Wireless Networks
Pose and Facial Expression Transfer by using StyleGAN
PYROBOCOP: Python-based Robotic Control & Optimization Package for Manipulation
StreamSplat: Towards Online Dynamic 3D Reconstruction from Uncalibrated Video Streams
What can phylogenetic metrics tell us about useful diversity in evolutionary algorithms?
An Authenticated Key Scheme over Elliptic Curves for Topological Networks
Real-time object detection and robotic manipulation for agriculture using a YOLO-based learning approach
Beryllium: Neural Search for Algorithm Implementations
GeoThermalCloud: Machine Learning for Geothermal Resource Exploration
Diffusing Private Data over Networks
Hybrid high-order methods for elasto-acoustic wave propagation in the time domain
Detecting retail products in situ using CNN without human effort labeling
GaitPT: Skeletons Are All You Need For Gait Recognition
Deterministic CONGEST Algorithm for MDS on Bounded Arboricity Graphs
Fine-grained Context and Multi-modal Alignment for Freehand 3D Ultrasound Reconstruction
Connect-while-in-range: modelling the impact of spatial constraints on dynamic communication network structures
End-to-End Code Switching Language Models for Automatic Speech Recognition
A Simple and Efficient Binary Byzantine Consensus Algorithm using Cryptography and Partial Synchrony
Large-Scale Weakly Labeled Semi-Supervised Sound Event Detection in Domestic Environments
Fusion of Array Operations at Runtime
DISTA: Denoising Spiking Transformer with intrinsic plasticity and spatiotemporal attention
Decentralized Singular Value Decomposition for Extremely Large-scale Antenna Array Systems
Granular-ball Representation Learning for Deep CNN on Learning with Label Noise
Sampling-Based Estimation of Jaccard Containment and Similarity
MicroPython Testbed for Federated Learning Algorithms
Transformers know more than they can tell - Learning the Collatz sequence
How Does COVID-19 impact Students with Disabilities/Health Concerns?
Compress Voice Transference over low Signal Strength in Satellite Communication
Trend-responsive User Segmentation Enabling Traceable Publishing Insights. A Case Study of a Real-world Large-scale News Recommendation System
Truthfulness in Repeated Predictions
DINOv2 based Self Supervised Learning For Few Shot Medical Image Segmentation
A Review of Reinforcement Learning for Autonomous Building Energy Management
Interference Alignment and Degrees of Freedom Region of Cellular Sigma Channel
To Be or Not To Be a Verbal Multiword Expression: A Quest for Discriminating Features
Synergies Between Disentanglement and Sparsity: a Multi-Task Learning Perspective
Comparing the Complexity of Robotic Tasks
Deductive Systems and Coherence for Skew Prounital Closed Categories
Relation Extraction Model Based on Semantic Enhancement Mechanism
Rewiring Development in Brain Segmentation: Leveraging Adult Brain Priors for Enhancing Infant MRI Segmentation
FCMI: Feature Correlation based Missing Data Imputation
Smoother Network Tuning and Interpolation for Continuous-level Image Processing
Multi-Viewpoint and Multi-Evaluation with Felicitous Inductive Bias Boost Machine Abstract Reasoning Ability
RedactOR: An LLM-Powered Framework for Automatic Clinical Data De-Identification
Multi-turn Response Selection with Commonsense-enhanced Language Models
Falsification of Cyber-Physical Systems with Robustness-Guided Black-Box Checking
Local Conditional Neural Fields for Versatile and Generalizable Large-Scale Reconstructions in Computational Imaging
AI-assisted prostate cancer detection and localisation on biparametric MR by classifying radiologist-positives
The NLP Cookbook: Modern Recipes for Transformer based Deep Learning Architectures
Computationally Efficient NER Taggers with Combined Embeddings and Constrained Decoding
Mixed polarity reversible Peres gates
Block Prefix Mechanism for Flow Mobility in PMIPv6 Based Networks
Data-Driven Reduced-Order Models for Port-Hamiltonian Systems with Operator Inference
NMIXX: Domain-Adapted Neural Embeddings for Cross-Lingual eXploration of Finance
Restricted Boltzmann Machine and Deep Belief Network: Tutorial and Survey
A Comparative Study of EMG- and IMU-based Gesture Recognition at the Wrist and Forearm
EC Scalar Multiplication: Successful Simple Address Bit SCA Attack against Atomic Patterns
Formulas as Processes, Deadlock-Freedom as Choreographies (Extended Version)
Vision-Based Mistake Analysis in Procedural Activities: A Review of Advances and Challenges
EasyCom: An Augmented Reality Dataset to Support Algorithms for Easy Communication in Noisy Environments
The Optimal Rate for Linear KB-splines and LKB-splines Approximation of High Dimensional Continuous Functions and its Application
A novel feed rate scheduling method based on Sigmoid function with chord error and kinematics constraints
Multi-View Crowd Counting With Self-Supervised Learning
Spatial-Temporal Cross-View Contrastive Pre-training for Check-in Sequence Representation Learning
A new displacement-controlled arc-length method for damage mechanics problems
AppSecure.nrw Software Security Study
Finding First and Most-Beautiful Queens by Integer Programming
Loop unrolling of UCA models: distance labeling
A Game Theoretic Framework for Surplus Food Distribution in Smart Cities and Beyond
The System Model and the User Model: Exploring AI Dashboard Design
Enjeux normatifs des TICE de l'enseignement des langues dans le contexte arabo-berbère
Convergence of a robust deep FBSDE method for stochastic control
DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification
High Noise Scheduling is a Must
Levantamento de Requisitos para Jogos Educativos Infantis
Self-Supervised Goal-Conditioned Pick and Place
Learning Linear Feature Space Transformations in Symbolic Regression
Research misconduct: definitions, manifestations and extent
Analytical and Numerical Bifurcation Analysis of a Forest-Grassland Ecosystem Model with Human Interaction
A Surgery of the Neural Architecture Evaluators
SFS-A68: a dataset for the segmentation of space functions in apartment buildings
GUISE: Graph GaUssIan Shading watErmark
Who's Thinking? A Push for Human-Centered Evaluation of LLMs using the XAI Playbook
JoyGen: Audio-Driven 3D Depth-Aware Talking-Face Video Editing
Dynamic Scenario Representation Learning for Motion Forecasting with Heterogeneous Graph Convolutional Recurrent Networks
MM-OPERA: Benchmarking Open-ended Association Reasoning for Large Vision-Language Models
Learning non-stationary and discontinuous functions using clustering, classification and Gaussian process modelling
Efficient motion planning for problems lacking optimal substructure
Gaussian Affine Feature Detector
TB or Not TB: Coverage-Driven Direct Preference Optimization for Verilog Stimulus Generation
A Contextualized BERT model for Knowledge Graph Completion
Making Split Learning Resilient to Label Leakage by Potential Energy Loss
Confining Windows Inter-Process Communications for OS-Level Virtual Machine
Overtaking Maneuvers on a Nonplanar Racetrack
Photonic Spiking Neural Networks with Highly Efficient Training Protocols for Ultrafast Neuromorphic Computing Systems
Predicting clicks in online display advertising with latent features and side-information
Syntactic Structures of Regular Languages
Declarative distributed broadcast using three-valued modal logic and semitopologies
ASPEN: High-Throughput LoRA Fine-Tuning of Large Language Models with a Single GPU
Blood Oxygen Saturation Estimation from Facial Video via DC and AC components of Spatio-temporal Map
A HINT from Arithmetic: On Systematic Generalization of Perception, Syntax, and Semantics
Towards a Direct, By-Need Evaluator for Dependently Typed Languages
Incremental Learning on Food Instance Segmentation