yusuke1997/dblp-id-title huggingface dataset:
Exact Backpropagation in Binary Weighted Networks with Group Weight Transformations
Industrial object, machine part and defect recognition towards fully automated industrial monitoring employing deep learning. The case of multilevel VGG19
IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects
MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation
Towards Detecting IoT Event Spoofing Attacks Using Time-Series Classification
Angriffserkennung für industrielle Netzwerke innerhalb des Projektes IUNO
Operator Algebras in Quantum Computation
Two-stage building energy consumption clustering based on temporal and peak demand patterns
Deep Learning for Malicious Flow Detection
Economic Evaluation of the Portuguese PV and Energy Storage Residential Applications
Beyond Visual Field of View: Perceiving 3D Environment with Echoes and Vision
New Approximation Guarantees for The Economic Warehouse Lot Scheduling Problem
DeepShop: A Benchmark for Deep Research Shopping Agents
Exploring Prompt Patterns in AI-Assisted Code Generation: Towards Faster and More Effective Developer-AI Collaboration
Multivariate fractal interpolation functions: Some approximation aspects and an associated fractal interpolation operator
LightTact: A Visual-Tactile Fingertip Sensor for Deformation-Independent Contact Sensing
The (in)security of some recently proposed lightweight key distribution schemes
Proceedings Fifth Workshop on Intersection Types and Related Systems, ITRS 2010, Edinburgh, U.K., 9th July 2010
Boolean-like algebras of finite dimension
Johnson-Lindenstrauss Property Implies Subspace Restricted Isometry Property
Causes of Effects: Learning individual responses from population data
Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction
Generalized Error Exponents for Sparse Sample Goodness of Fit Tests
On the Sample Complexity of End-to-end Training vs. Semantic Abstraction Training
GenVectorX: A performance-portable SYCL library for Lorentz Vectors operations
Dynamic Authentication and Granularized Authorization with a Cross-Domain Zero Trust Architecture for Federated Learning in Large-Scale IoT Networks
Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems
Alchemi: A .NET-based Grid Computing Framework and its Integration into Global Grids
Deep unfolding as iterative regularization for imaging inverse problems
Infeasibility of constructing a special orthogonal matrix for the deterministic remote preparation of arbitrary n-qubit state
Privacy-Preserved Automated Scoring using Federated Learning for Educational Research
Prototypical Metric Transfer Learning for Continuous Speech Keyword Spotting With Limited Training Data
Two Heads Are Better Than One: A Two-Stage Approach for Monaural Noise Reduction in the Complex Domain
Optically lightweight tracking of objects around a corner
A study for Image compression using Re-Pair algorithm
CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality
RSET: Remapping-based Sorting Method for Emotion Transfer Speech Synthesis
Distributed Full-duplex via Wireless Side Channels: Bounds and Protocols
Enhanced Velocity-Adaptive Scheme: Joint Fair Access and Age of Information Optimization in Vehicular Networks
VGLD: Visually-Guided Linguistic Disambiguation for Monocular Depth Scale Recovery
Adapting multi-armed bandits policies to contextual bandits scenarios
Tensors in Power System Computation I: Distributed Computation for Optimal Power Flow, DC OPF
An empirical study on the impact of IDE tool support in pair and solo programming
MiniFed : Integrating LLM-based Agentic-Workflow for Simulating FOMC Meeting
Concealed Electronic Countermeasures of Radar Signal with Adversarial Examples
Singing Voice Separation and Vocal F0 Estimation based on Mutual Combination of Robust Principal Component Analysis and Subharmonic Summation
Exploring Relations among Fairness Notions in Discrete Fair Division
Stochastic Performance Analysis of Phase Decomposition in Hyperledger Fabric
High-Frequency Space Diffusion Models for Accelerated MRI
Real-world Video Adaptation with Reinforcement Learning
Cascading Denial of Service Attacks on Wi-Fi Networks
Feedback Linearization of Car Dynamics for Racing via Reinforcement Learning
Optimal Regret Algorithm for Pseudo-1d Bandit Convex Optimization
Automatic marker-free registration of tree point-cloud data based on rotating projection
What Should I Do Now? Marrying Reinforcement Learning and Symbolic Planning
A Metamorphic Testing Perspective on Knowledge Distillation for Language Models of Code: Does the Student Deeply Mimic the Teacher?
Error Analysis of Virtual Element Method for the Poisson-Boltzmann Equation
Using Genetic Algorithms for Texts Classification Problems
Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models
Modular Autonomous Vehicle in Heterogeneous Traffic Flow: Modeling, Simulation, and Implication
Back to the Baseline: Examining Baseline Effects on Explainability Metrics
Contemporary AI foundation models increase biological weapons risk
WeKnow-RAG: An Adaptive Approach for Retrieval-Augmented Generation Integrating Web Search and Knowledge Graphs
Learning Proxemic Behavior Using Reinforcement Learning with Cognitive Agents
Simple Search Engine Model: Adaptive Properties
Modelling transport provision in a polycentric mega city region
Information Theoretic cutting of a cake
Predicting band structures for 2D Photonic Crystals via Deep Learning
Co-optimization of Speed and Gearshift Control for Battery Electric Vehicles Using Preview Information
Γ-convergence of an Enhanced Finite Element Method for Manià's Problem Exhibiting the Lavrentiev Gap Phenomenon
Reduced order model approach for imaging with waves
Lockdown: Dynamic Control-Flow Integrity
Matrix Normal PCA for Interpretable Dimension Reduction and Graphical Noise Modeling
Continuous Wavelet Transformation and VGG16 Deep Neural Network for Stress Classification in PPG Signals
Blind Fractional Interference Alignment
Toward Extremely Low Bit and Lossless Accuracy in DNNs with Progressive ADMM
Optimization-Based Control of Distributed Battery Storage in Distribution Networks
ES-ImageNet: A Million Event-Stream Classification Dataset for Spiking Neural Networks
Extending turbulence model uncertainty quantification using machine learning
Underage Detection through a Multi-Task and MultiAge Approach for Screening Minors in Unconstrained Imagery
Boosting Zero-Shot VLN via Abstract Obstacle Map-Based Waypoint Prediction with TopoGraph-and-VisitInfo-Aware Prompting
The 6th International Verification of Neural Networks Competition (VNN-COMP 2025): Summary and Results
A theory of condition for unconstrained perturbations
Automatic quantification of breast cancer biomarkers from multiple 18F-FDG PET image segmentation
An experimental study of algorithms for obtaining a singly connected subgraph
Revealing cracks inside conductive bodies by electric surface measurements
Learning to Run with Actor-Critic Ensemble
Understanding self-supervised Learning Dynamics without Contrastive Pairs
Book review: Katy Börner, Atlas of Science: Visualizing What We Know. Cambridge, MA/ London UK: The MIT Press, 2010
Evaluation of Resonances via AAA Rational Approximation of Randomly Scalarized Boundary Integral Resolvents
MomentSeg: Moment-Centric Sampling for Enhanced Video Pixel Understanding
KEPT: Knowledge-Enhanced Prediction of Trajectories from Consecutive Driving Frames with Vision-Language Models
Urban Air Mobility: A Review of Recent Advances in Communication, Management, and Sustainability
Detecting Knowledge Boundary of Vision Large Language Models by Sampling-Based Inference
Logic Encryption: This Time for Real
Discovering Concept Directions from Diffusion-based Counterfactuals via Latent Clustering
RA-ICM: A Novel Independent Cascade Model Incorporating User Relationships and Attitudes
Model Developmental Safety: A Safety-Centric Method and Applications in Vision-Language Models
An Adaptive Multi Agent Bitcoin Trading System
Stochastic Configuration Networks Ensemble for Large-Scale Data Analytics
Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding
Instantons in self-organizing logic gates
A Single-Layer Dual-Mesh Boundary Element Method for Multiscale Electromagnetic Modeling of Penetrable Objects in Layered Media
Between a Rock and a Hard Place: Domestic Policy and South Africa's Commitments under the WTO's Basic Telecommunications Agreement - Explaining the Apparent Inertia
Factors Enhancing E-Government Service Gaps in a Developing Country Context
Adaptive Image Restoration for Video Surveillance: A Real-Time Approach
On the $\ell^\infty$-norms of the Singular Vectors of Arbitrary Powers of a Difference Matrix with Applications to Sigma-Delta Quantization
A Parameter Adaptive Trajectory Tracking and Motion Control Framework for Autonomous Vehicle
Spatio-Temporal Distortion Aware Omnidirectional Video Super-Resolution
To Lane or Not to Lane? Comparing On-Road Experiences in Developing and Developed Countries using a New Simulator "RoadBird"
Multiscale cross-correlations and triangular arbitrage opportunities in the Forex
Detecting Anomalous Inputs to DNN Classifiers By Joint Statistical Testing at the Layers
FedKD-hybrid: Federated Hybrid Knowledge Distillation for Lithography Hotspot Detection
Improved bounds for group testing in arbitrary hypergraphs
Nested Network with Two-Stream Pyramid for Salient Object Detection in Optical Remote Sensing Images
Exploring the Challenges of Open Domain Multi-Document Summarization
Coordination of resources at the edge of the electricity grid: systematic review and taxonomy
A Parameterized Algorithmics Framework for Digraph Degree Sequence Completion Problems
Exact Homomorphic Encryption
Degenerate Motions in Multicamera Cluster SLAM with Non-overlapping Fields of View
Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers
GANN: Graph Alignment Neural Network for Semi-Supervised Learning
Enhancing Cloud-Based Large Language Model Processing with Elasticsearch and Transformer Models
CountingDINO: A Training-free Pipeline for Class-Agnostic Counting using Unsupervised Backbones
Adaptive Friction in Deep Learning: Enhancing Optimizers with Sigmoid and Tanh Function
Lightweight usable cryptography: a usability evaluation of the Ascon 1.2 family
Learning music audio representations via weak language supervision
Total Novel and Complexity. Literature and Complexity Science
Comments on "Routh Stability Criterion"
Gradient Augmented Information Retrieval with Autoencoders and Semantic Hashing
Can Voters Detect Errors on Their Printed Ballots? Absolutely
The Mechanical Turkness: Tactical Media Art and the Critique of Corporate AI
Cross-Distribution Diffusion Priors-Driven Iterative Reconstruction for Sparse-View CT
Profiling and Improving the PyTorch Dataloader for high-latency Storage: A Technical Report
Distributed Picard Iteration: Application to Distributed EM and Distributed PCA
DeepSim: A Reinforcement Learning Environment Build Toolkit for ROS and Gazebo
ProtNN: Fast and Accurate Nearest Neighbor Protein Function Prediction based on Graph Embedding in Structural and Topological Space
On Efficient Uncertainty Estimation for Resource-Constrained Mobile Applications
Representation Learning Models for Entity Search
PATopics: An automatic framework to extract useful information from pharmaceutical patents documents
Investigating Vulnerability Disclosures in Open-Source Software Using Bug Bounty Reports and Security Advisories
Information Theoretic Evaluation of Privacy-Leakage, Interpretability, and Transferability for a Novel Trustworthy AI Framework
Power System Disturbance Classification with Online Event-Driven Neuromorphic Computing
Cross-Consistent Deep Unfolding Network for Adaptive All-In-One Video Restoration
The Survey of Data Mining Applications And Feature Scope
Recognition and Processing of NATOM
Extending Common Intervals Searching from Permutations to Sequences
Interpreting deep urban sound classification using Layer-wise Relevance Propagation
Fairness Based Energy-Efficient 3D Path Planning of a Portable Access Point: A Deep Reinforcement Learning Approach
Savu: A Python-based, MPI Framework for Simultaneous Processing of Multiple, N-dimensional, Large Tomography Datasets
Challenges of Integrating A Priori Information Efficiently in the Discovery of Spatio-Temporal Objects in Large Databases
Efficient Online Bootstrapping for Large Scale Learning
Jacobian Policy Optimizations
Adaptive Probabilistic Tack Manoeuvre Decision for Sailing Vessels
Air-Ground Collaboration with SPOMP: Semantic Panoramic Online Mapping and Planning
Voice Packet Performance Estimation through Step Network Using OPNET
Counting the Number of Domatic Partition of a Graph
MATA (māta): Mindful Assessment of the Telugu Abilities of Large Language Models
From semiotics of hypermedia to physics of semiosis: A view from system theory
Parrondo's effects with aperiodic protocols
Is Vanilla Policy Gradient Overlooked? Analyzing Deep Reinforcement Learning for Hanabi
How do Transformers perform In-Context Autoregressive Learning?
A survey of modularized backstepping control design approaches to nonlinear ODE systems
SIE3D: Single-image Expressive 3D Avatar generation via Semantic Embedding and Perceptual Expression Loss
Predicting Variants of Alternative Splicing from NGS data without the Genome
Privacy Threats on the Internet of Medical Things
New lower bounds for matrix multiplication and the 3x3 determinant
MAPUNetR: A Hybrid Vision Transformer and U-Net Architecture for Efficient and Interpretable Medical Image Segmentation
MultiCNKG: Integrating Cognitive Neuroscience, Gene, and Disease Knowledge Graphs Using Large Language Models
Towards Long-Endurance Flight of an Insect-Inspired, Tailless, Two-Winged, Flapping-Wing Flying Robot
A Dynamic Logic for Information Evaluation in Intelligence
Using machine learning algorithms to determine the post-COVID state of a person by his rhythmogram
StableAnimator++: Overcoming Pose Misalignment and Face Distortion for Human Image Animation
Subtyping-Based Type-Checking for System F with Induction and Coinduction
Machine Learning Framework for Characterizing Processing-Structure Relationship in Block Copolymer Thin Films
Enhancing News Summarization with ELearnFit through Efficient In-Context Learning and Efficient Fine-Tuning
Framing Climate Change on YouTube: North-South Divides in Narratives and Public Engagement
An Empirical Study of Blockchain-based Decentralized Applications
Pivot-Only Azimuthal Control and Attitude Estimation of Balloon-borne Payloads
Old BERT, New Tricks: Artificial Language Learning for Pre-Trained Language Models
Contextuality: At the Borders of Paradox
Robustness of Neural Networks against Storage Media Errors
A wearable haptic game controller
Controller Tuning for Active Queue Management Using a Parameter Space Method
Animal Pose Labeling Using General-Purpose Point Trackers
Enhancing Quantum Adversarial Robustness by Randomized Encodings
VisemeNet: Audio-Driven Animator-Centric Speech Animation
NSM4D: Neural Scene Model Based Online 4D Point Cloud Sequence Understanding
Crowdsourcing the Policy Cycle
Specifying Robustness
Compression and Reduced Representation Techniques for Patch-Based Relaxation
Unisolvence of random Kansa collocation by Thin-Plate Splines for the Poisson equation
Automatic Detection Of Noise Events at Shooting Range Using Machine Learning
Extended Adaptive Observer for Linear Systems with Overparametrization
A general fourth-order mesoscopic multiple-relaxation-time lattice Boltzmann model and equivalent macroscopic finite-difference scheme for two-dimensional diffusion equations
An investigation of the classifiers to detect android malicious apps
Joint Design of Protein Sequence and Structure based on Motifs
Using monodromy to statistically estimate the number of solutions
Efficient Estimation of Graph Trussness
UnifiedABSA: A Unified ABSA Framework Based on Multi-task Instruction Tuning
Logarithmic Regret and Polynomial Scaling in Online Multi-step-ahead Prediction
Golden interpolation
Pink-Eggs Dataset V1: A Step Toward Invasive Species Management Using Deep Learning Embedded Solutions
Nonparametric Estimation and On-Line Prediction for General Stationary Ergodic Sources
Distributed and parallel time series feature extraction for industrial big data applications
Construction of Near-Capacity Protograph LDPC Code Sequences with Block-Error Thresholds
Federated Learning in Mobile Edge Computing: An Edge-Learning Perspective for Beyond 5G
Human adaptation to adaptive machines converges to game-theoretic equilibria
Chebyshev Moment Regularization (CMR): Condition-Number Control with Moment Shaping
UniToPatho, a labeled histopathological dataset for colorectal polyps classification and adenoma dysplasia grading
Auto-survey Challenge
Low Complexity Sphere Decoding for Spatial Multiplexing MIMO
Determination of referential property and number of nouns in Japanese sentences for machine translation into English
Adaptivity to Enable an Efficient and Robust Human Intranet
A Comparative Neural Radiance Field (NeRF) 3D Analysis of Camera Poses from HoloLens Trajectories and Structure from Motion
Stability of Evolutionary Dynamics on Time Scales
NMIRacle: Multi-modal Generative Molecular Elucidation from IR and NMR Spectra
Measuring the Quality of Explanations: The System Causability Scale (SCS). Comparing Human and Machine Explanations
Deep Learning Mixture-of-Experts Approach for Cytotoxic Edema Assessment in Infants and Children
Graph-based Person Signature for Person Re-Identifications
SVDinsTN: An Integrated Method for Tensor Network Representation with Efficient Structure Search
Towards Approximate Model Checking DC and PDC Specifications
Observing the Population Dynamics in GE by means of the Intrinsic Dimension
Secure Software Development: Issues and Challenges
On the Limits of Momentum in Decentralized and Federated Optimization
Fixing Errors of the Google Voice Recognizer through Phonetic Distance Metrics
Visibility graphs for robust harmonic similarity measures between audio spectra
Object-Centric Conformance Alignments with Synchronization (Extended Version)
Strategic Policymaking for Implementing Renewable Portfolio Standards: A Tri-level Optimization Approach
Learning principle and mathematical realization of the learning mechanism in the brain
A Systems Thinking for Cybersecurity Modeling
The Political Economy of Privacy Enhancing Technologies
Monolithic Hybrid Recommender System for Suggesting Relevant Movies
Overlay Satellite-Terrestrial Networks for IoT under Hybrid Interference Environments
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning
Detecting Hostile Posts using Relational Graph Convolutional Network
Reconfigurable Tendon-Driven Robots: Eliminating Inter-segmental Coupling via Independently Lockable Joints
Pandora3D: A Comprehensive Framework for High-Quality 3D Shape and Texture Generation
The Capacity of Private Information Retrieval with Partially Known Private Side Information
Are Graph Convolutional Networks Fully Exploiting Graph Structure?
Classification-driven Single Image Dehazing
A Survey of Software Engineering Practices in Turkey (extended version)
HiCoLoRA: Addressing Context-Prompt Misalignment via Hierarchical Collaborative LoRA for Zero-Shot DST
Learning Treatment Allocations with Risk Control Under Partial Identifiability
Fake it till You Make it: Reward Modeling as Discriminative Prediction
The History of AI Rights Research
Code Verification for Practically Singular Equations
Early Detection of In-Memory Malicious Activity based on Run-time Environmental Features
LQG Control Over SWIPT-enabled Wireless Communication Network
Online Digital Investigative Journalism using SociaLens
Optimal Solutions for Joint Beamforming and Antenna Selection: From Branch and Bound to Machine Learning
Emerging Topics in Assistive Reading Technology: From Presentation to Content Accessibility
Predicting drug properties with parameter-free machine learning: Pareto-Optimal Embedded Modeling (POEM)
3D Vessel Segmentation with Limited Guidance of 2D Structure-agnostic Vessel Annotations
Kaczmarz Kac Walk
Strategic Planning for Network Data Analysis
Phase Precoded Compute-and-Forward with Partial Feedback
A State-of-the-Art Review on IoT botnet Attack Detection
Model-Assisted Probabilistic Safe Adaptive Control With Meta-Bayesian Learning
Semi-Supervised 3D Medical Segmentation from 2D Natural Images Pretrained Model
Ensemble learning based linear power flow
A 3 : Activation Anomaly Analysis
VARFVV: View-Adaptive Real-Time Interactive Free-View Video Streaming with Edge Computing
Orthogonal Time-Frequency Space Modulation: A Full-Diversity Next Generation Waveform
Redefining Toxicity: An Objective and Context-Aware Approach for Stress-Level-Based Detection
uPVC-Net: A Universal Premature Ventricular Contraction Detection Deep Learning Algorithm
Building a Virtual HPC Cluster with Auto Scaling by the Docker
Trust in AI emerges from distrust in humans: A machine learning study on decision-making guidance
Using persistent homology to understand dimensionality reduction in resting-state fMRI
DeepThought: An Architecture for Autonomous Self-motivated Systems
QDNN: DNN with Quantum Neural Network Layers
Training-Free Unsupervised Prompt for Vision-Language Models
GPU Memory Prediction for Multimodal Model Training
Dictionary Learning from Incomplete Data
Lumbar spine segmentation in MR images: a dataset and a public benchmark
Neighbourhood semantics and axioms for strategic fragment of classical stit logic
Protection of Complex Networks against SIR Spreading Processes
Collaborative UAVs Multi-task Video Processing Optimization Based on Enhanced Distributed Actor-Critic Networks
Assessing the Trustworthiness of Electronic Identity Management Systems: Framework and Insights from Inception to Deployment
A CNN-RNN Framework with a Novel Patch-Based Multi-Attention Mechanism for Multi-Label Image Classification in Remote Sensing
Feature Cognition Enhancement via Interaction-Aware Automated Transformation
A Correlation Information-based Spatiotemporal Network for Traffic Flow Forecasting
Image-to-Image Translation with Low Resolution Conditioning
CLIP Itself is a Strong Fine-tuner: Achieving 85.7% and 88.0% Top-1 Accuracy with ViT-B and ViT-L on ImageNet
An Ensemble of Deep Learning Frameworks Applied For Predicting Respiratory Anomalies
RetinaGS: Scalable Training for Dense Scene Rendering with Billion-Scale 3D Gaussians
Spectral Sparse Representation for Clustering: Evolved from PCA, K-means, Laplacian Eigenmap, and Ratio Cut
Purchase and Production Optimization in a Meat Processing Plant
How Tiny Can Analog Filterbank Features Be Made for Ultra-low-power On-device Keyword Spotting?
Securing Massive MIMO at the Physical Layer
Measurement-Based Non-Stationary Markov Tapped Delay Line Channel Model for 5G-Railways
Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks
Stakeholder utility measures for declarative processes and their use in process comparisons
Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models
Multi-Affiliated Authors Behave Differently across Fields and Host Country Preferences: A Comparison in G7 and BRICS
On Computational Complexity of Clifford Algebra
Text-oriented Modality Reinforcement Network for Multimodal Sentiment Analysis from Unaligned Multimodal Sequences
Evaluating UAV Path Planning Algorithms for Realistic Maritime Search and Rescue Missions
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective
Disentanglement in T-space for Faster and Distributed Training of Diffusion Models with Fewer Latent-states
An innovative adaptive kriging approach for efficient binary classification of mechanical problems
PromptMID: Modal Invariant Descriptors Based on Diffusion and Vision Foundation Models for Optical-SAR Image Matching
Empirical comparison of network sampling techniques
Pulse-Width Predictive Control for LTV Systems with Application to Spacecraft Rendezvous
Mobile Technology in Healthcare Environment: Security Vulnerabilities and Countermeasures