yusuke1997/dblp-id-title huggingface dataset:
Expanding detection bandwidth via a photonic reservoir for ultrafast optical sensing
Conditions for Convergence in Regularized Machine Learning Objectives
Logistic Tensor Factorization for Multi-Relational Data
Learning to Rearrange with Physics-Inspired Risk Awareness
DnSwin: Toward Real-World Denoising via Continuous Wavelet Sliding-Transformer
Characterization of Locality in Spin States and Forced Moves for Optimizations
Internal Regret with Partial Monitoring. Calibration-Based Optimal Algorithms
Memory-Statistics Tradeoff in Continual Learning with Structural Regularization
L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation
Deep Text Mining of Instagram Data Without Strong Supervision
Deep Domain Adaptation for Turbofan Engine Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends
Continuous ErrP detections during multimodal human-robot interaction
A Fractional 3n+1 Conjecture
A generalization of the achievable rate of a MISO system using Bode-Fano wideband matching theory
Comparative Analysis of CNN Performance in Keras, PyTorch and JAX on PathMNIST
Optimality in Quantum Data Compression using Dynamical Entropy
Equilibrium Computation in Multi-Stage Auctions and Contests
Rethinking Pseudo Labels for Semi-Supervised Object Detection
Taming the Ransomware Threats: Leveraging Prospect Theory for Rational Payment Decisions
FASP: Fast and Accurate Structured Pruning of Large Language Models
Retargeting GCC: Do We Reinvent the Wheel Every Time?
SAME: Scenario Adaptive Mixture-of-Experts for Promotion-Aware Click-Through Rate Prediction
FPGA Impementation of Erasure-Only Reed Solomon Decoders for Hybrid-ARQ Systems
Sketched and Truncated Polynomial Krylov Subspace Methods: Matrix Equations
Multi-Value-Product Retrieval-Augmented Generation for Industrial Product Attribute Value Identification
UCM-Net: A Lightweight and Efficient Solution for Skin Lesion Segmentation using MLP and CNN
J-Logic: a Logic for Querying JSON
An LLM-based Delphi Study to Predict GenAI Evolution
A Concept for Autonomous Problem-Solving in Intralogistics Scenarios
Model Compression Engine for Wearable Devices Skin Cancer Diagnosis
A Novel Energy Efficiency Metric for Next Generation Wireless Communication Networks
Auto3R: Automated 3D Reconstruction and Scanning via Data-driven Uncertainty Quantification
Approximating intractable short ratemodel distribution with neural network
A High-order Backpropagation Algorithm for Neural Stochastic Differential Equation Model
Masked Mineral Modeling: Continent-Scale Mineral Prospecting via Geospatial Infilling
Robust Client-Server Watermarking for Split Federated Learning
You Can Do Better! If You Elaborate the Reason When Making Prediction
Extensive Deep Temporal Point Process
Learning to Reason Across Parallel Samples for LLM Reasoning
DDFAD: Dataset Distillation Framework for Audio Data
Semantic Analysis of Traffic Camera Data: Topic Signal Extraction and Anomalous Event Detection
Thunderstorm nowcasting with deep learning: a multi-hazard data fusion model
Rethinking with Retrieval: Faithful Large Language Model Inference
Fragile Watermarking Using Finite Field Trigonometrical Transforms
Quantitative View of the Structure of Institutional Scientific Collaborations Using the Examples of Halle, Jena and Leipzig
Sparse Image Representation with Epitomes
Nonlinear Subsystem-based Adaptive Impedance Control of Physical Human-Robot-Environment Interaction in Contact-rich Tasks
IoT-based Wearables: A comprehensive Survey
HEBO: Heteroscedastic Evolutionary Bayesian Optimisation
An Improved Multiple Faults Reassignment based Recovery in Cluster Computing
Style Transfer of Black and White Silhouette Images using CycleGAN and a Randomly Generated Dataset
AutoVARP - a framework for automated reproducible inducibility testing in computational models of cardiac electrophysiology
Hierarchical Multi-Scale Attention for Semantic Segmentation
On the Uplink SINR Meta Distribution of UAV-assisted Wireless Networks
Slepian-Wolf Coding over Cooperative Networks
From Documents to Database: Failure Modes for Industrial Assets
Behavioral Modeling of Persian Instagram Users to detect Bots
Time discretization of a nonlocal phase-field system with inertial term
A Graph Theoretic Approach for Optimizing Key Pre-distribution in Wireless SensorNetworks
Formal Representation of the SS-DB Benchmark and Experimental Evaluation in EXTASCID
A Framework for Rewriting Families of String Diagrams
S2IL: Structurally Stable Incremental Learning
A Data-driven Dynamic Temporal Correlation Modeling Framework for Renewable Energy Scenario Generation
Infinite-dimensional Extension of the Linear Combination of Hamiltonian Simulation: Theorems and Applications
Recommender Systems for Sustainability: Overview and Research Issues
GAMMA-PD: Graph-based Analysis of Multi-Modal Motor Impairment Assessments in Parkinson's Disease
Deflecting Adversarial Attacks with Pixel Deflection
A Reservoir-based Model for Human-like Perception of Complex Rhythm Pattern
Predicting conversions in display advertising based on URL embeddings
Automatic tempered posterior distributions for Bayesian inversion problems
SWAN - Enabling Fast and Mobile Histopathology Image Annotation through Swipeable Interfaces
PlasmoID: A dataset for Indonesian malaria parasite detection and segmentation in thin blood smear
Encode the ∀∃ Relational Hoare Logic into Standard Hoare Logic
Simulation-based Analysis Of Highway Trajectory Planning Using High-Order Polynomial For Highly Automated Driving Function
Uniformly accurate schemes for oscillatory stochastic differential equations
A Survey on Unsupervised Industrial Anomaly Detection Algorithms
Lightweight single-image super-resolution network based on dual paths
Investigating the Robustness of Extreme Precipitation Super-Resolution Across Climates
An Online Question Answering System based on Sub-graph Searching
Compositional Diffusion Models for Powered Descent Trajectory Generation with Flexible Constraints
PileUp: A Tufting Approach to Soft, Tactile, and Volumetric E-Textile Interfaces
Data Augmentation for Text-based Person Retrieval Using Large Language Models
Learning Spatio-Temporal Patterns of Polar Ice Layers With Physics-Informed Graph Neural Network
Detecting Domain-Generation Algorithm (DGA) Based Fully-Qualified Domain Names (FQDNs) with Shannon Entropy
A New Scoring Method for the Evaluation of Vehicle Road Departure Detection Systems
Scalable Equivalence Checking and Verification of Shallow Quantum Circuits
Continuous Perception Benchmark
Parallel frequency function-deep neural network for efficient complex broadband signal approximation
Pred-NBV: Prediction-guided Next-Best-View for 3D Object Reconstruction
Effects of MAC Approaches on Non-Monotonic Saturation with COPE - A Simple Case Study
Moments of finitary factor maps between Bernoulli processes
Man in the middle and current injection attacks against the KLJN key exchanger compromised by DC sources
Box constrained l 1 optimization in random linear systems - finite dimensions
Multi-view Deep Subspace Clustering Networks
Scale-Free Allocation, Amortized Convexity, and Myopic Weighted Paging
Evaluating and Comparing Probability of Path Loss in DSDV, OLSR and DYMO at 802.11 and 802.11p
Epidemic Forecasting with a Hybrid Deep Learning Method Using CNN-LSTM With WOA-GWO Parameter Optimization: Global COVID-19 Case Study
Understanding in Artificial Intelligence
Self-supervised feature distillation and design of experiments for efficient training of micromechanical deep learning surrogates
Defining a Role-Centered Terminology for Physical Representations and Controls
Atomic Norm Minimization-based DoA Estimation for IRS-assisted Sensing Systems
Algorithms and data structures for first-order logic with connectivity under vertex failures
Towards performance portability through locality-awareness for applications using one-sided communication primitives
Denial-of-Service Poisoning Attacks against Large Language Models
PAC Apprenticeship Learning with Bayesian Active Inverse Reinforcement Learning
Why Do Class-Dependent Evaluation Effects Occur with Time Series Feature Attributions? A Synthetic Data Investigation
ModiPick: SLA-aware Accuracy Optimization For Mobile Deep Inference
Machine learning-based condition monitoring of powertrains in modern electric drives
Optimisation of Spectral Wavelets for Persistence-based Graph Classification
Speech Enhancement in Adverse Environments Based on Non-stationary Noise-driven Spectral Subtraction and SNR-dependent Phase Compensation
DiffusionCom: Structure-Aware Multimodal Diffusion Model for Multimodal Knowledge Graph Completion
Computational Steering of Geometrically Sensitive Simulations
Throughput Analysis for Wavelet OFDM in Broadband Power Line Communications
Small But Unwieldy
Solving The Travelling Salesmen Problem using HNN and HNN-SA algorithms
Distributed traffic light control at uncoupled intersections with real-world topology by deep reinforcement learning
A comparative study between seasonal wind speed by Fourier and Wavelet analysis
Tunable Approximations to Control Time-to-Solution in an HPC Molecular Docking Mini-App
Amirkabir campus dataset: Real-world challenges and scenarios of Visual Inertial Odometry (VIO) for visually impaired people
MINT: Multimodal Instruction Tuning with Multimodal Interaction Grouping
Compressing Deep ODE-Nets using Basis Function Expansions
Understanding fitness landscapes in morpho-evolution via local optima networks
Efficient Sketching and Nearest Neighbor Search Algorithms for Sparse Vector Sets
Refinement of polygonal grids using Convolutional Neural Networks with applications to polygonal Discontinous Galerkin and Virtual Element methods
On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models
Modelling Sampling Distributions of Test Statistics with Autograd
A 'Turtle Model' of Food System Transformations: Embracing Citizens' Diverse Values and Knowledge in Change Processes
Improving Deep Learning Performance for Predicting Large-Scale Porous-Media Flow through Feature Coarsening
Race Driver Evaluation at a Driving Simulator using a physical Model and a Machine Learning Approach
Diagnosis of Breast Cancer using Hybrid Transfer Learning
E-TSL: A Continuous Educational Turkish Sign Language Dataset with Baseline Methods
MorphMLP: A Self-Attention Free, MLP-Like Backbone for Image and Video
Blockchain associated machine learning and IoT based hypoglycemia detection system with auto-injection feature
Zero-shot Robotic Manipulation with Language-guided Instruction and Formal Task Planning
Maximum-norm a posteriori error bounds for an extrapolated Euler/finite element discretisation of parabolic equations
Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Spiking Neural Networks
Differentiable Energy-Based Regularization in GANs: A Simulator-Based Exploration of VQE-Inspired Auxiliary Losses
Bot or Not? Deciphering Time Maps for Tweet Interarrivals
Anomaly Detection for IoT Global Connectivity
An landcover fuzzy logic classification by maximumlikelihood
Intrinsic Image Diffusion for Single-view Material Estimation
Scalable Forward-Forward Algorithm
Josephson oscillations of two weakly coupled Bose-Einstein condensates
Mathematical Model of Dating Apps' Influence on Sexually Transmitted Diseases Spread
Latent linear dynamics in spatiotemporal medical data
Discriminative Graph-level Anomaly Detection via Dual-students-teacher Model
Breaking the Limits - Redefining the Instantaneous Frequency
Overwrite Quantization: Opportunistic Outlier Handling for Neural Network Accelerators
Learning Hybrid Dynamics Models With Simulator-Informed Latent States
A hybrid deep learning approach for purchasing strategy of carbon emission rights - Based on Shanghai pilot market
On Fast SC-based Polar Decoders: Metric Polarization and a Pruning Technique
Skill-Driven Certification Pathways: Measuring Industry Training Impact on Graduate Employability
Consecutive Pretraining: A Knowledge Transfer Learning Strategy with Relevant Unlabeled Data for Remote Sensing Domain
Considering dynamical synergy and integrated information; the unusual case of minimum mutual information
Co-training for Demographic Classification Using Deep Learning from Label Proportions
Document AI: Benchmarks, Models and Applications
EAVIT: Efficient and Accurate Human Value Identification from Text data via LLMs
MolLangBench: A Comprehensive Benchmark for Language-Prompted Molecular Structure Recognition, Editing, and Generation
Multimodal Machine Unlearning
Collecting Cost-Effective, High-Quality Truthfulness Assessments with LLM Summarized Evidence
Generalized knowledge-enhanced framework for biomedical entity and relation extraction
Taxonomy-Adaptive Moderation Model with Robust Guardrails for Large Language Models
Generating Self-Guided Dense Annotations for Weakly Supervised Semantic Segmentation
DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs
Persistent Software Combining
SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification
Extra Proximal-Gradient Inspired Non-local Network
Continual Learning of Nonlinear Independent Representations
Risk-Limiting Audits for IRV Elections
First Return, Entropy-Eliciting Explore
The Temporal Structure of Language Processing in the Human Brain Corresponds to The Layered Hierarchy of Deep Language Models
BreastDCEDL: Curating a Comprehensive DCE-MRI Dataset and developing a Transformer Implementation for Breast Cancer Treatment Response Prediction
Subjective and Objective Evaluation of English to Urdu Machine Translation
Partial Information Decomposition as a Unified Approach to the Specification of Neural Goal Functions
Pruning Overparameterized Multi-Task Networks for Degraded Web Image Restoration
A Federated Distributionally Robust Support Vector Machine with Mixture of Wasserstein Balls Ambiguity Set for Distributed Fault Diagnosis
Synthetic Video Generation for Robust Hand Gesture Recognition in Augmented Reality Applications
Communication Efficient Quantum Secret Sharing
State of the Art on Artificial Intelligence Resources for Interaction Media Design in Digital Cultural Heritage
Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model For Hyperspectral Image Classification
Failure Analysis of Hadoop Schedulers using an Integration of Model Checking and Simulation
QLink: Quantum-Safe Bridge Architecture for Blockchain Interoperability
GPU-Virt-Bench: A Comprehensive Benchmarking Framework for Software-Based GPU Virtualization Systems
A Deep Reinforcement Learning-Based TCP Congestion Control Algorithm: Design, Simulation, and Evaluation
Plexus: An Interactive Visualization Tool for Analyzing Public Emotions from Twitter Data
Pilot Testing an Artificial Intelligence Algorithm That Selects Homeless Youth Peer Leaders Who Promote HIV Testing
HSTR-Net: Reference Based Video Super-resolution for Aerial Surveillance with Dual Cameras
BackWeak: Backdooring Knowledge Distillation Simply with Weak Triggers and Fine-tuning
Randomized Value Functions via Posterior State-Abstraction Sampling
Self-Organized Authentication Architecture for Mobile Ad-hoc Networks
Adversarial quantum channel discrimination
A New Upper Bound on 2D Online Bin Packing
Learning-Based Fault-Tolerant Control for an Hexarotor with Model Uncertainty
QuaRT: A toolkit for the exploration of quantum methods for radiation transport
Low-Rank Autoregressive Tensor Completion for Multivariate Time Series Forecasting
Memory-efficient Stochastic methods for Memory-based Transformers
BIT*: Batch Informed Trees for Optimal Sampling-based Planning via Dynamic Programming on Implicit Random Geometric Graphs
Design and evaluation of a genomics variant analysis pipeline using GATK Spark tools
Compact routing schemes in undirected and directed graphs
MegaChat: A Synthetic Persian Q&A Dataset for High-Quality Sales Chatbot Evaluation
Symmetric Grothendieck inequality
HistoEncoder: a digital pathology foundation model for prostate cancer
Robust Self-Triggered Control Approaches Optimizing Sampling Sequences with Synchronous Measurements
Effective Federated Adaptive Gradient Methods with Non-IID Decentralized Data
Learning a Repression Network for Precise Vehicle Search
How mobility patterns drive disease spread: A case study using public transit passenger card travel data
HoliCity: A City-Scale Data Platform for Learning Holistic 3D Structures
Inverse Kinematics with Vision-Based Constraints
A Social Network Analysis of Articles on Social Network Analysis
Multivariate Trace Inequalities
SpeechCT-CLIP: Distilling Text-Image Knowledge to Speech for Voice-Native Multimodal CT Analysis
The secretary returns
Adaptive Policies for Sequential Sampling under Incomplete Information and a Cost Constraint
Multi-task Learning for Low-resource Second Language Acquisition Modeling
Numerical Range Facets Partition: Evaluation Metric and Methods
Calculi for Intuitionistic Normal Modal Logic
Convergence of stochastic gradient descent on parameterized sphere with applications to variational Monte Carlo simulation
Mamba-CNN: A Hybrid Architecture for Efficient and Accurate Facial Beauty Prediction
Programmable Data Planes for Network Security
Learning a Factor Model via Regularized PCA
From Local Interactions to Global Operators: Scalable Gaussian Process Operator for Physical Systems
Pi Fractions for Generating Uniformly Distributed Sampling Points in Global Search and Optimization Algorithms
The free algebra in R
Iterative Rule Extension for Logic Analysis of Data: an MILP-based heuristic to derive interpretable binary classification from large datasets
Character decomposition to resolve class imbalance problem in Hangul OCR
Waveform inversion via reduced order modeling
Nonlinear Computation with Linear Optics via Source-Position Encoding
An Algorithm for Transforming Color Images into Tactile Graphics
Long-term word frequency dynamics derived from Twitter are corrupted: A bespoke approach to detecting and removing pathologies in ensembles of time series
A Brief Tutorial on Consensus ADMM for Distributed Optimization with Applications in Robotics
Class-Specific Data Augmentation: Bridging the Imbalance in Multiclass Breast Cancer Classification
Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in Multi-Agent RL
When Avatars Have Personality: Effects on Engagement and Communication in Immersive Medical Training
Distributed Management of Massive Data: an Efficient Fine-Grain Data Access Scheme
Bridging Unpaired Facial Photos And Sketches By Line-drawings
Comparing like with like: China ranks first in SCI-indexed research articles since 2018
Human Mobility Prediction with Causal and Spatial-constrained Multi-task Network
A review for Tone-mapping Operators on Wide Dynamic Range Image
Parallelizing Stochastic Approximation Through Mini-Batching and Tail-Averaging
Multi-Modal Graph Interaction for Multi-Graph Convolution Network in Urban Spatiotemporal Forecasting
Research and experimental verification on low-frequency long-range underwater sound propagation dispersion characteristics under dual-channel sound speed profiles in the Chukchi Plateau
Curriculum Approximate Unlearning for Session-based Recommendation
Chromatic Topological Data Analysis
AMER: Automatic Behavior Modeling and Interaction Exploration in Recommender System
Properties of Spline Spaces Over Structured Hierarchical Box Partitions
Pathformer: Recursive Path Query Encoding for Complex Logical Query Answering
A Novel Convolutional Neural Network for Image Steganalysis with Shared Normalization
Message Embedded cipher using 2-D chaotic map
Multiresolution Tensor Decomposition for Multiple Spatial Passing Networks
Dissimilarity Coefficient based Weakly Supervised Object Detection
H 2 O 2 RAM: A High-Performance Hierarchical Doubly Oblivious RAM
A Time Series Dataset of NIR Spectra and RGB and NIR-HSI Images of the Barley Germination Process
Communication Optimal Unbalanced Private Set Union
TSMixer: An all-MLP Architecture for Time Series Forecasting
Classification of Hyperspectral Images by Using Spectral Data and Fully Connected Neural Network
Machine Learning for LiDAR-Based Indoor Surface Classification in Intelligent Wireless Environments
Deceptive Kernel Function on Observations of Discrete POMDP
Auditing Google's AI Overviews and Featured Snippets: A Case Study on Baby Care and Pregnancy
Stabilization of synchronous tridiagonal network motion
Intrusion Detection in IoT Networks Using Hyperdimensional Computing: A Case Study on the NSL-KDD Dataset
Toi uu hieu suat toc do dong co Servo DC su dung bo dieu khien PID ket hop mang no-ron
b-d-Lawson: a method for the interpolation constrained rational minimax approximation
LCS-DIVE: An Automated Rule-based Machine Learning Visualization Pipeline for Characterizing Complex Associations in Classification
ALSA: Anchors in Logit Space for Out-of-Distribution Accuracy Estimation
Accessibility Literacy: Increasing accessibility awareness among young content creators
Forecasting Smog Events Using ConvLSTM: A Spatio-Temporal Approach for Aerosol Index Prediction in South Asia
Binary code optimization
A matching principle for power transfer in Stochastic Thermodynamics
Towards Multi-modality Fusion and Prototype-based Feature Refinement for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound
Manifold Forests: Closing the Gap on Neural Networks
Fusion of Foundation and Vision Transformer Model Features for Dermatoscopic Image Classification
Astronomical imaging: The theory of everything
On the validity of complex Langevin method for path integral computations
Adversarial Text Generation with Dynamic Contextual Perturbation
Brain-inspired Cognition in Next Generation Racetrack Memories
Personalized Motion Guidance Framework for Athlete-Centric Coaching
TCCT: Tightly-Coupled Convolutional Transformer on Time Series Forecasting
Deep Learning Approaches for Network Traffic Classification in the Internet of Things (IoT): A Survey
Exploring Adversarial Examples for Efficient Active Learning in Machine Learning Classifiers
Data-efficient and Interpretable Inverse Materials Design using a Disentangled Variational Autoencoder
A Reference Model for Common Understanding of Capabilities and Skills in Manufacturing
Are Large Language Models True Healthcare Jacks-of-All-Trades? Benchmarking Across Health Professions Beyond Physician Exams
Privacy Protection in Street-View Panoramas using Depth and Multi-View Imagery
A New Truncation Algorithm for Markov Chain Equilibrium Distributions with Computable Error Bounds
A Study on the Evaluation of Generative Models
AutoPK: Leveraging LLMs and a Hybrid Similarity Metric for Advanced Retrieval of Pharmacokinetic Data from Complex Tables and Documents
MMLongCite: A Benchmark for Evaluating Fidelity of Long-Context Vision-Language Models
Dendrograms of Mixing Measures for Softmax-Gated Gaussian Mixture of Experts: Consistency without Model Sweeps
A Century of Controvery Over the Foundations of Mathematics II
threaTrace: Detecting and Tracing Host-based Threats in Node Level Through Provenance Graph Learning
Identifying Hidden Buyers in Darknet Markets via Dirichlet Hawkes Process
Fake News Detection: Experiments and Approaches beyond Linguistic Features
A Non-intrusive Approach for Physics-constrained Learning with Application to Fuel Cell Modeling
Multimodal Auto Validation For Self-Refinement in Web Agents
The state complexity of star-complement-star
Analytical shape determination of fiber-like objects with Virtual Image Correlation
A spatio-spectral hybridization for edge preservation and noisy image restoration via local parametric mixtures and Lagrangian relaxation
FastInject: Injecting Unpaired Text Data into CTC-based ASR training
Adversarial Semi-Supervised Multi-Domain Tracking
Data Augmentation through Background Removal for Apple Leaf Disease Classification Using the MobileNetV2 Model
Hybrid variable monitoring: An unsupervised process monitoring framework
Efficient Similarity Indexing and Searching in High Dimensions
Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray
Explicit Gradient Learning