yusuke1997/dblp-id-title huggingface dataset:
Synergies Between Federated Learning and O-RAN: Towards an Elastic Virtualized Architecture for Multiple Distributed Machine Learning Services
Hybridizing Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization
From Pixels to People: Satellite-Based Mapping and Quantification of Riverbank Erosion and Lost Villages in Bangladesh
Bio-inspired Structure Identification in Language Embeddings
WoT Store: a Thing and Application Management Ecosystem for the W3C Web of Things
Data Augmentation for Spoken Grammatical Error Correction
Applying Software Patterns to Address Interoperability in Blockchain-based Healthcare Apps
GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging
The AI Act proposal: a new right to technical interpretability?
Understanding Metrics for Paraphrasing
VAE-QWGAN: Improving Quantum GANs for High Resolution Image Generation
Adversarial Labeling for Learning without Labels
Layer-Wise Cross-View Decoding for Sequence-to-Sequence Learning
Learning Condensed and Aligned Features for Unsupervised Domain Adaptation Using Label Propagation
Correctness Verification of Neural Networks
A Novel Way of Identifying Cyber Predators
A Theory on AI Uncertainty Based on Rademacher Complexity and Shannon Entropy
Community Research Earth Digital Intelligence Twin (CREDIT)
Experimenting on Markov Decision Processes with Local Treatments
Vital Sign Forecasting for Sepsis Patients in ICUs
Unlocking the Potential: Benchmarking Large Language Models in Water Engineering and Research
Numerical method for the Fokker-Planck equation of Brownian motion subordinated by inverse tempered stable subordinator with drift
Coevolution spreading in complex networks
Explainable Topic-Enhanced Argument Mining from Heterogeneous Sources
Beyond Benchmarks: Understanding Mixture-of-Experts Models through Internal Mechanisms
From Values to Tokens: An LLM-Driven Framework for Context-aware Time Series Forecasting via Symbolic Discretization
Confidence as a Reward: Transforming LLMs into Reward Models
rCanary: Detecting Memory Leaks Across Semi-automated Memory Management Boundary in Rust
Hesperus is Phosphorus: Mapping Threat Actor Naming Taxonomies at Scale
Contrastive predictive coding for Anomaly Detection in Multi-variate Time Series Data
Quantum protocols at presence of non-abelian superselection rules in the framework of algebraic model
WordPress on AWS: a Communication Framework
PAST: Pilot and Adaptive Orchestration for Timely and Resilient Service Delivery in Edge-Assisted UAV Networks under Spatio-Temporal Dynamics
Secrecy of Opportunistic User Scheduling in RIS-Aided Systems: A Comparison with NOMA Scheduling
Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration
MARLIN: Multi-Agent Reinforcement Learning Guided by Language-Based Inter-Robot Negotiation
Universal Phase Transition in Community Detectability under a Stochastic Block Model
Good Classical and Quantum Codes from Multi-Twisted Codes
A Survey of Financial AI: Architectures, Advances and Open Challenges
Learning Visual Hierarchies with Hyperbolic Embeddings
A GPU Implementation for Two-Dimensional Shallow Water Modeling
AlignGPT: Multi-modal Large Language Models with Adaptive Alignment Capability
Enhancing Clinical Multiple-Choice Questions Benchmarks with Knowledge Graph Guided Distractor Generation
Fl RDT based ultimate lowering of the negative spherical perceptron capacity
Sparsity-Aware Filtered-X Affine Projection Algorithms for Active Noise Control
Hate versus Politics: Detection of Hate against Policy makers in Italian tweets
PhishAri: Automatic Realtime Phishing Detection on Twitter
Patent Portfolio Analysis of Cities: Statistics and Maps of Technological Inventiveness
Neural Network Optimization for Reinforcement Learning Tasks Using Sparse Computations
A fusion algorithm for joins based on collections in Odra (Object Database for Rapid Application development)
S-Extension Patch: A simple and efficient way to extend an object detection model
Tiling with Boundaries: Dense digital images have large connected components
Class-level Multiple Distributions Representation are Necessary for Semantic Segmentation
SEAT: A Taxonomy to Characterize Automation in Software Engineering
Energy-efficient Routing of Hybrid Vehicles
Replace Anyone in Videos
Reconstruction of Sparse Signals under Gaussian Noise and Saturation
A SMART Stochastic Algorithm for Nonconvex Optimization with Applications to Robust Machine Learning
Modeling and Interpreting Real-world Human Risk Decision Making with Inverse Reinforcement Learning
The non-existence of a [[13,5,4]] quantum stabilizer code
A Modified DTC with Capability of Regenerative Braking Energy in BLDC driven Electric Vehicles Using Adaptive Control Theory
Sensing Anomalies like Humans: A Hominine Framework to Detect Abnormal Events from Unlabeled Videos
Unlocking Foundation Models for Privacy-Enhancing Speech Understanding: An Early Study on Low Resource Speech Training Leveraging Label-guided Synthetic Speech Content
waywiser: Ergonomic Methods for Assessing Spatial Models
Efficiently Closing Loops in LiDAR-Based SLAM Using Point Cloud Density Maps
HybridoNet-Adapt: A Domain-Adapted Framework for Accurate Lithium-Ion Battery RUL Prediction
A Decomposition Approach to Solve The Quay Crane Scheduling Problem
Combining Convex-Concave Decompositions and Linearization Approaches for solving BMIs, with application to Static Output Feedback
Computational Design and Evaluation Methods for Empowering Non-Experts in Digital Fabrication
Pareto Pairwise Ranking for Fairness Enhancement of Recommender Systems
Multiple Descents in Deep Learning as a Sequence of Order-Chaos Transitions
Multi-Task Multicriteria Hyperparameter Optimization
Evaluation of Energy- and Capacity-Market Revenues from Lithium-ion Battery Systems for Offshore Wind Using Advanced Battery Models
A Fast Deep Learning Network for Automatic Image Auto-Straightening
A Novel IoT Architecture based on 5G-IoT and Next Generation Technologies
Lensless Compressive Imaging
Data science to investigate temperature profiles of large networks of food refrigeration systems
Adversarial Training via Adaptive Knowledge Amalgamation of an Ensemble of Teachers
Learning Flock: Enhancing Sets of Particles for Multi~Sub-State Particle Filtering with Neural Augmentation
Message Recovery Attack in NTRU through VFK Lattices
Towards Applicative Relational Programming
Cluster-level Feature Alignment for Person Re-identification
BIONIB: Blockchain-based IoT using Novelty Index in Bridge Health Monitoring
Bone Age Estimation by Deep Learning in X-Ray Medical Images
Survey on Methods for Detection, Classification and Location of Faults in Power Systems Using Artificial Intelligence
Data assimilation in Agent-based models using creation and annihilation operators
Efficient Majority-Logic Decoding of Short-Length Reed--Muller Codes at Information Positions
CAACS: A Carbon Aware Ant Colony System
Predicting Illegal Fishing on the Patagonia Shelf from Oceanographic Seascapes
iMHS: An Incremental Multi-Hypothesis Smoother
Development of a System Vulnerability Analysis Tool for Assessment of Complex Mission Critical Systems
Automatic estimation of heading date of paddy rice using deep learning
A J-spectral Factorization Condition for the Physical Realizability of a Transfer Function Matrix with only Direct Feedthrough Quantum Noise
An Algebraic Characterisation of Concurrent Composition
Surveying the Rust Verification Landscape
Generating 3D faces using Convolutional Mesh Autoencoders
BanglaSentNet: An Explainable Hybrid Deep Learning Framework for Multi-Aspect Sentiment Analysis with Cross-Domain Transfer Learning
ChartGaze: Enhancing Chart Understanding in LVLMs with Eye-Tracking Guided Attention Refinement
A Kernel Space-based Multidimensional Sparse Model for Dynamic PET Image Denoising
Reinforcement Learning-Guided Chain-of-Draft for Token-Efficient Code Generation
Scandium Aluminum Nitride Overmoded Bulk Acoustic Resonators for Future Wireless Communication
PowerDrive: Accurate De-Obfuscation and Analysis of PowerShell Malware
Bandit Learning for Diversified Interactive Recommendation
Cropping outperforms dropout as an augmentation strategy for training self-supervised text embeddings
TMSR: Tiny Multi-path CNNs for Super Resolution
MAS-Bench: A Unified Benchmark for Shortcut-Augmented Hybrid Mobile GUI Agents
Since the Scientific Literature Is Multilingual, Our Models Should Be Too
Digital Twin Technology Enabled Proactive Safety Application for Vulnerable Road Users: A Real-World Case Study
Stuck in a What? Adventures in Weight Space
A Hidden Resource in Wireless Channel Capacity: Dependence Control in Action
Improving Source Separation by Explicitly Modeling Dependencies Between Sources
Robust Navigation of a Soft Growing Robot by Exploiting Contact with the Environment
Revisiting Actor-Critic Methods in Discrete Action Off-Policy Reinforcement Learning
Foundation Models in Augmentative and Alternative Communication: Opportunities and Challenges
A C0 Interior Penalty Method for the Phase Field Crystal Equation
ADBSCAN: Adaptive Density-Based Spatial Clustering of Applications with Noise for Identifying Clusters with Varying Densities
Discourse-Aware Emotion Cause Extraction in Conversations
Challenge of Spatial Cognition for Deep Learning
Efficient Navigation in Unknown Indoor Environments with Vision-Language Models
Modeling Molecular Structures with Intrinsic Diffusion Models
Automatic source localization and spectra generation from deconvolved beamforming maps
Sequential annotations for naturally-occurring HRI: first insights
Bregman divergence based em algorithm and its application to classical and quantum rate distortion theory
Clarification on the Mapping of Reversible Circuits to the NCV-v1 Library
Investigating Intra-Abstraction Policies For Non-exact Abstraction Algorithms
A Quantum Optimization Case Study for a Transport Robot Scheduling Problem
Overparametrized linear dimensionality reductions: From projection pursuit to two-layer neural networks
Surface Segmentation Using Implicit Divergence Constraint Between Adjacent Minimal Paths
Advancing Audio-Visual Navigation Through Multi-Agent Collaboration in 3D Environments
Agglomeration-Based Geometric Multigrid Solvers for Compact Discontinuous Galerkin Discretizations on Unstructured Meshes
Rapid focus map surveying for whole slide imaging with continues sample motion
A Novel Approach for Detection and Ranking of Trendy and Emerging Cyber Threat Events in Twitter Streams
Operational Decision Support in the Presence of Uncertainties
Towards Communication Efficient and Fair Federated Personalized Sequential Recommendation
Design and Performance Analysis of a Non-Standard EPICS Fast Controller
Seedance 1.5 pro: A Native Audio-Visual Joint Generation Foundation Model
Sequential IoT Data Augmentation using Generative Adversarial Networks
IC3M: In-Car Multimodal Multi-object Monitoring for Abnormal Status of Both Driver and Passengers
High-Quality Vocoding Design with Signal Processing for Speech Synthesis and Voice Conversion
Max-Margin Object Detection
Representing smooth functions as compositions of near-identity functions with implications for deep network optimization
Co-Designing Unstructured Text Data Visualization Systems
Real-time Structure Flow
Differentiable cellular automata
Community detection on directed networks with missing edges
Time-frequency and time-scale analysis of deformed stationary processes, with application to non-stationary sound modeling
RiverScope: High-Resolution River Masking Dataset
DL-PDE: Deep-learning based data-driven discovery of partial differential equations from discrete and noisy data
Achieving Distributive Justice in Federated Learning via Uncertainty Quantification
Nonlinear parametric model for Granger causality of time series
I Know What You Imported Last Summer: A study of security threats in thePython ecosystem
Manifestation of Image Contrast in Deep Networks
Pay Voice: Point of Sale Recognition for Visually Impaired People
Security and Privacy of 6G Federated Learning-enabled Dynamic Spectrum Sharing
Multibiometrics Belief Fusion
A Hybrid Ai Framework For Strategic Patent Portfolio Pruning: Integrating Learning To-Rank And Market Need Analysis For Technology Transfer Optimization
Jorge: Approximate Preconditioning for GPU-efficient Second-order Optimization
Widely Linear Kernels for Complex-Valued Kernel Activation Functions
Granite Code Models: A Family of Open Foundation Models for Code Intelligence
MSVD-Indonesian: A Benchmark for Multimodal Video-Text Tasks in Indonesian
RobustSVC: HuBERT-based Melody Extractor and Adversarial Learning for Robust Singing Voice Conversion
Evaluating Developer-written Unit Test Case Reduction for Java - A Replication Study
Resource Management Schemes for Cloud-Native Platforms with Computing Containers of Docker and Kubernetes
SubDyve: Subgraph-Driven Dynamic Propagation for Virtual Screening Enhancement Controlling False Positive
Uncertainty-Aware Surrogate-based Amortized Bayesian Inference for Computationally Expensive Models
Predicate Renaming via Large Language Models
Fusing Gathers with Integer Linear Programming
Suppressing epidemics on networks by exploiting observer nodes
Learning with Local Search MCMC Layers
Lung tumor segmentation in MRI mice scans using 3D nnU-Net with minimum annotations
Exploiting Promising Sub-Sequences of Jobs to solve the No-Wait Flowshop Scheduling Problem
Responsible Artificial Intelligence: A Structured Literature Review
CMFDFormer: Transformer-based Copy-Move Forgery Detection with Continual Learning
Can Common Crawl reliably track persistent identifier (PID) use over time?
Loom: Exploiting Weight and Activation Precisions to Accelerate Convolutional Neural Networks
The modified Physics-Informed Hybrid Parallel Kolmogorov-Arnold and Multilayer Perceptron Architecture with domain decomposition
Beyond Size: How Gradients Shape Pruning Decisions in Large Language Models
Compute-and-Forward Can Buy Secrecy Cheap
Kernel Machines With Missing Responses
A Mixed Method Study of DevOps Challenges
Robust Beamforming and Rate-Splitting Design for Next Generation Ultra-Reliable and Low-Latency Communications
Generative sampling in tractography using autoencoders (GESTA)
Towards Theoretical Understanding of Transformer Test-Time Computing: Investigation on In-Context Linear Regression
TexVocab: Texture Vocabulary-conditioned Human Avatars
Training dataset and dictionary sizes matter in BERT models: the case of Baltic languages
Extreme compression of sentence-transformer ranker models: faster inference, longer battery life, and less storage on edge devices
Literature on Hand GESTURE Recognition using Graph based methods
A Universal Semi-totalistic Cellular Automaton on Kite and Dart Penrose Tilings
Revising the Structure of Recurrent Neural Networks to Eliminate Numerical Derivatives in Forming Physics Informed Loss Terms with Respect to Time
Information encoding and decoding in in-vitro neural networks on micro electrode arrays through stimulation timing
Photonic Simulation of Localization Phenomena Using Boson Sampling
Associative Adversarial Networks
On the Relevance of Bandwidth Extension for Speaker Verification
The Voice Timbre Attribute Detection 2025 Challenge Evaluation Plan
Annals of Library and Information Studies. A bibliometric analysis of the journal and a comparison with the top library and information studies journals in Asia and worldwide (2011_2017)
Aggregating Long-Term Context for Learning Surgical Workflows
One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning
Towards Cost-Optimal Policies for DAGs to Utilize IaaS Clouds with Online Learning
Developing a Series of AI Challenges for the United States Department of the Air Force
Effect of Hyper-Parameter Optimization on the Deep Learning Model Proposed for Distributed Attack Detection in Internet of Things Environment
Between Treewidth and Clique-width
Characterising representation dynamics in recurrent neural networks for object recognition
Distributed Black-Box Optimization via Error Correcting Codes
Consensus dimension reduction via multi-view learning
A New Class of Index Coding Instances Where Linear Coding is Optimal
UAV Swarm-enabled Collaborative Post-disaster Communications in Low Altitude Economy via a Two-stage Optimization Approach
No Label Left Behind: A Unified Surface Defect Detection Model for all Supervision Regimes
Audio-visual Speech Separation with Adversarially Disentangled Visual Representation
Sponsored data with ISP competition
Incremental Learning for Metric-Based Meta-Learners
Random Hash Code Generation for Cancelable Fingerprint Templates using Vector Permutation and Shift-order Process
Finite-size effects in response functions of molecular systems
Approximation by filter functions
Assessing the Effectiveness of GPT-4o in Climate Change Evidence Synthesis and Systematic Assessments: Preliminary Insights
SPMoE: Generate Multiple Pattern-Aware Outputs with Sparse Pattern Mixture of Experts
Comment: Bibliometrics in the Context of the UK Research Assessment Exercise
PMaF: Deep Declarative Layers for Principal Matrix Features
Addititive Polynomial Block Methods, Part I: Framework and Fully-Implicit Methods
Code Pretraining Improves Entity Tracking Abilities of Language Models
Novel Grid Topology Estimation Technique Exploiting PLC Modems
Observability and Identifiability Analyses of Process Models for Agricultural Anaerobic Digestion Plants
A Security-Constrained Optimal Power Management Algorithm for Shipboard Microgrids with Battery Energy Storage System and Fuel Cell
Bayesian Predictive Coding
Generalizable Speech Deepfake Detection via Information Bottleneck Enhanced Adversarial Alignment
Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in Drawings
A Review of Causality for Learning Algorithms in Medical Image Analysis
Sequential Monte Carlo Steering of Large Language Models using Probabilistic Programs
Inferring Atmospheric Properties of Exoplanets with Flow Matching and Neural Importance Sampling
An investigation into machine learning approaches for forecasting spatio-temporal demand in ride-hailing service
Meet the Family of Statistical Disclosure Attacks
A Parallel Ultra-Low Power Silent Speech Interface based on a Wearable, Fully-dry EMG Neckband
Automated Red-Teaming Framework for Large Language Model Security Assessment: A Comprehensive Attack Generation and Detection System
FixFit: using parameter-compression to solve the inverse problem in overdetermined models
Two Causes, Not One: Rethinking Omission and Fabrication Hallucinations in MLLMs