yusuke1997/dblp-id-title huggingface dataset:
Experts-in-the-Loop: Establishing an Effective Workflow in Crafting Privacy Q&A
Revisiting RIP guarantees for sketching operators on mixture models
Almost Boltzmann Exploration
A Temporal FRBR/FRBRoo-Based Model for Component-Level Versioning of Legal Norms
Semantic Specialization in MoE Appears with Scale: A Study of DeepSeek R1 Expert Specialization
Bayes-optimal Hierarchical Classification over Asymmetric Tree-Distance Loss
CrossRF: A Domain-Invariant Deep Learning Approach for RF Fingerprinting
Stochastic Constraint Programming as Reinforcement Learning
Deep Learning Predicts Cardiovascular Disease Risks from Lung Cancer Screening Low Dose Computed Tomography
Elementary Deduction Problem for Locally Stable Theories with Normal Forms
Physical Logic Enhanced Network for Small-Sample Bi-Layer Metallic Tubes Bending Springback Prediction
Grading of Triangulations Generated by Bisection
Weak NAS Predictors Are All You Need
Equitable and Fair Performance Evaluation of Whale Optimization Algorithm
The rapid points of a complex oscillation
Concurrent Composition and Algebras of Events, Actions, and Processes
Time-Quantitatively Nonblocking Supervisory Control of Timed Discrete-Event Systems
A discontinuous Galerkin method based isogeometric analysis framework for flexoelectricity in micro-architected dielectric solids
Learning Streaming Video Representation via Multitask Training
Long-Short Distance Graph Neural Networks and Improved Curriculum Learning for Emotion Recognition in Conversation
Multi-outcome and Multidimensional Market Scoring Rules
Performance Analysis of Machine Learning Algorithms in Chronic Kidney Disease Prediction
Human Centred Object Co-Segmentation
Secrecy Performance of RIS-assisted Wireless Networks under Rician fading
An Empirical Study of Architecting for Continuous Delivery and Deployment
Pipeline MoE: A Flexible MoE Implementation with Pipeline Parallelism
Applying Medical Imaging Tractography Techniques to Painterly Rendering of Images
PAC Learnability of Scenario Decision-Making Algorithms: Necessary and Sufficient Conditions
Choosing the Right Git Workflow: A Comparative Analysis of Trunk-based vs. Branch-based Approaches
Bayesian selection for the regularization parameter in TVl0 denoising problems
ZeShot-VQA: Zero-Shot Visual Question Answering Framework with Answer Mapping for Natural Disaster Damage Assessment
Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-Thought
Confidence-guided Adaptive Gate and Dual Differential Enhancement for Video Salient Object Detection
UCIP: A Universal Framework for Compressed Image Super-Resolution using Dynamic Prompt
Linguistically-aware Attention for Reducing the Semantic-Gap in Vision-Language Tasks
Directional Non-Commutative Monoidal Structures with Interchange Law via Commutative Generators
An Exploration of the Impact of Mapping Style and Device Roadmap on Simulated ReRAM Architectures for Neuromorphic Computing
Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration
System Integration and Control Design of a Maglev Platform for Space Vibration Isolation
Cyclical Electromechanical Error Denial System Using Matrix Profile
Maximizing Service Reward for Queues with Deadlines
Prediction of soft proton intensities in the near-Earth space using machine learning
IllusionX: An LLM-powered mixed reality personal companion
MultiCrafter: High-Fidelity Multi-Subject Generation via Spatially Disentangled Attention and Identity-Aware Reinforcement Learning
Constructing Words with High Distinct Square Densities
Generative Artificial Intelligence in Robotic Manipulation: A Survey
Multilevel Topological Interference Management
Polar decomposition based algorithms on the product of Stiefel manifolds with applications in tensor approximation
Mice and Covert Channels
MemShare: Memory Efficient Inference for Large Reasoning Models through KV Cache Reuse
Strong Membership Inference Attacks on Massive Datasets and (Moderately) Large Language Models
Real-time Geometry-Aware Augmented Reality in Minimally Invasive Surgery
Effective and Differentiated Use of Control Information for Multi-speaker Speech Synthesis
Elucidating Discrepancy in Explanations of Predictive Models Developed using EMR
SDI-Net: Toward Sufficient Dual-View Interaction for Low-light Stereo Image Enhancement
A Secure Healthcare 5.0 System Based on Blockchain Technology Entangled with Federated Learning Technique
Design of Robust, Protograph Based LDPC Codes for Rate-Adaptation via Probabilistic Shaping
Joint blind calibration and time-delay estimation for multiband ranging
H-COAL: Human Correction of AI-Generated Labels for Biomedical Named Entity Recognition
Compositional Operators in Distributional Semantics
Emoji Sentiment Scores of Writers using Odds Ratio and Fisher Exact Test
Weakly Supervised Instance Segmentation using Motion Information via Optical Flow
Ghost: A Uniform and General-Purpose Proxy Implementation
Virtual Adversarial Ladder Networks For Semi-supervised Learning
Quantum Computing for Large-scale Network Optimization: Opportunities and Challenges
Learning discrete state abstractions with deep variational inference
Versatile Recompression-Aware Perceptual Image Super-Resolution
Understanding Knowledge Transferability for Transfer Learning: A Survey
Kernel based low-rank sparse model for single image super-resolution
Kronecker-LoRA: hybrid Kronecker-LoRA adapters for scalable, sustainable fine-tuning
Consensus Capacity of Noisy Broadcast Channels
PCB-RandNet: Rethinking Random Sampling for LIDAR Semantic Segmentation in Autonomous Driving Scene
Playing by the Book: Towards Agent-based Narrative Understanding through Role-playing and Simulation
CTISum: A New Benchmark Dataset For Cyber Threat Intelligence Summarization
Probabilistic Grading and Classification System for End-of-Life Building Components Toward Circular Economy Loop
On the Hourglass Model
User Collusion Avoidance Scheme for Privacy-Preserving Decentralized Key-Policy Attribute-Based Encryption - Full Version
Bayesian Cross Validation and WAIC for Predictive Prior Design in Regular Asymptotic Theory
Using the Open Meta Kaggle Dataset to Evaluate Tripartite Recommendations in Data Markets
Error Graphs and the Reconstruction of Elements in Groups
Network-based models for social recommender systems
Adversarial Scratches: Deployable Attacks to CNN Classifiers
Towards a performance bound on MIMO DFRC systems
Probabilistic Variational Causal Effect as A new Theory for Causal Reasoning
LDPC Codes in the McEliece Cryptosystem
Masked Face Recognition for Secure Authentication
Inferring Local Structure from Pairwise Correlations
Causally estimating the effect of YouTube's recommender system using counterfactual bots
Mixed precision matrix interpolative decompositions for model reduction
RepBin: Constraint-based Graph Representation Learning for Metagenomic Binning
The Impact of International Collaborations with Highly Publishing Countries in Computer Science
Adaptive model selection in photonic reservoir computing by reinforcement learning
Artificial Generation of Big Data for Improving Image Classification: A Generative Adversarial Network Approach on SAR Data
Aneumo: A Large-Scale Comprehensive Synthetic Dataset of Aneurysm Hemodynamics
Learning under Distributed Weak Supervision
MolCLIP: A Molecular-Auxiliary CLIP Framework for Identifying Drug Mechanism of Action Based on Time-Lapsed Mitochondrial Images
Distributed Video Coding: Codec Architecture and Implementation
Optimizing Lymphocyte Detection in Breast Cancer Whole Slide Imaging through Data-Centric Strategies
An optimization problem for continuous submodular functions
Costal Cartilage Segmentation with Topology Guided Deformable Mamba: Method and Benchmark
Efficient Social Choice via NLP and Sampling
Population protocols for leader election and exact majority with O(log^2 n) states and O(log^2 n) convergence time
Word Embeddings and Validity Indexes in Fuzzy Clustering
Learning Asynchronous-Time Information Diffusion Models and its Application to Behavioral Data Analysis over Social Networks
Incremental Affinity Propagation based on Cluster Consolidation and Stratification
Geometric Backstepping Control of Omnidirectional Tiltrotors Incorporating Servo-Rotor Dynamics for Robustness against Sudden Disturbances
Building Block Components to Control a Data Rate in the Apache Hadoop Compute Platform
Quantum, Diplomacy, and Geopolitics
Efficient Flicker-Free FEC Codes using Knuth's Balancing Algorithm for VLC
Tailoring Product Ownership in Large-Scale Agile
Mango Tree Net - A fully convolutional network for semantic segmentation and individual crown detection of mango trees
Crowdsourcing with Enhanced Data Quality Assurance: An Efficient Approach to Mitigate Resource Scarcity Challenges in Training Large Language Models for Healthcare
A simple third order compact finite element method for 1D BVP
Multi-output Ensembles for Multi-step Forecasting
Developing Smart Web-Search Using RegEx
Crash Severity Risk Modeling Strategies under Data Imbalance
The maximum time of 2-neighbour bootstrap percolation in grid graphs and some parameterized results
Visual Environment for Rapid Composition of Parameter-Sweep Applications for Distributed Processing on Global Grids
Numerical analysis of the regularised total variation flow
Hidden-Markov-Model Based Speech Enhancement
Behavioural Prototypes
A Business Goal Driven Approach for Understanding and Specifying Information Security Requirements
Discovering topically- and temporally-coherent events in interaction networks
Proceedings of AAAI 2019 Workshop on Network Interpretability for Deep Learning
Investigation of inverse design of multilayer thin-films with conditional invertible Neural Networks
The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition
Distilling Large Language Models for Efficient Clinical Information Extraction
Achieving Stability for Aloha Networks with Multiple Receivers
Mobility Management in 5G and Beyond: A Novel Smart Handover with Adaptive Time-to-Trigger and Hysteresis Margin
Patch-based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation
G2 Matrix Manifold: A Software Construct
AI-enhanced Collective Intelligence: The State of the Art and Prospects
Boundary representation learning via Transformer
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
LogGuardQ: A Cognitive-Enhanced Reinforcement Learning Framework for Cybersecurity Anomaly Detection in Security Logs
Compressed Sensing over ℓ p -balls: Minimax Mean Square Error
RIS-Enhanced Spectrum Sensing: How Many Reflecting Elements Are Required to Achieve a Detection Probability Close to 1?
Analysing Dense Passage Retrieval for Multi-hop Question Answering
UAV-Aided Jamming for Secure Ground Communication with Unknown Eavesdropper Location
Improving Prototypical Parts Abstraction for Case-Based Reasoning Explanations Designed for the Kidney Stone Type Recognition
An Investigation of Time-Frequency Representation Discriminators for High-Fidelity Vocoder
Assured Autonomy: Path Toward Living With Autonomous Systems We Can Trust
On Security Research towards Future Mobile Network Generations
Robust Multi-echo GRE Phase processing using a unity rank enforced complex exponential model
An overview of neural architectures for self-supervised audio representation learning from masked spectrograms
Stochastic Local Search for Pattern Set Mining
Improving Arithmetic Reasoning Ability of Large Language Models through Relation Tuples, Verification and Dynamic Feedback
Data types as a more ergonomic frontend for Grammar-Guided Genetic Programming
Hybrid Voltage Stability and Security Assessment using Synchrophasors with Consideration of Generator Q-limits
On the Logic of Causal Models
Segmentation of Multiple Sclerosis lesion in brain MR images using Fuzzy C-Means
Frequency-Undersampled Short-Time Fourier Transform
Forensic Scientometrics - An emerging discipline to protect the scholarly record
Fully-Corrective Gradient Boosting with Squared Hinge: Fast Learning Rates and Early Stopping
Kernelized Locality-Sensitive Hashing for Semi-Supervised Agglomerative Clustering
A Framework for Machine Learning of Model Error in Dynamical Systems
A Rollup Comparison Framework
NoMorelization: Building Normalizer-Free Models from a Sample's Perspective
MS-SincResNet: Joint learning of 1D and 2D kernels using multi-scale SincNet and ResNet for music genre classification
Improved Surrogates in Inertial Confinement Fusion with Manifold and Cycle Consistencies
FlowDAS: A Flow-Based Framework for Data Assimilation
Air-FedGA: A Grouping Asynchronous Federated Learning Mechanism Exploiting Over-the-air Computation
The Landscape of Unfolding with Machine Learning
A Principled Framework for Constructing Natural Language Interfaces To Temporal Databases
Analysis of Microarray Data using Artificial Intelligence Based Techniques
Local word statistics affect reading times independently of surprisal
Learn to Navigate Maplessly with Varied LiDAR Configurations: A Support Point Based Approach
AutoNeural: Co-Designing Vision-Language Models for NPU Inference
From Robotic Process Automation to Intelligent Process Automation: Emerging Trends
Designing an Optimal Sensor Network via Minimizing Information Loss
Infrastructuring Contestability: A Framework for Community-Defined AI Value Pluralism
Feature-weighted Stacking for Nonseasonal Time Series Forecasts: A Case Study of the COVID-19 Epidemic Curves
Pix4Point: Image Pretrained Transformers for 3D Point Cloud Understanding
Non-stationary Transformers: Rethinking the Stationarity in Time Series Forecasting
MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents
The path to a goal: Understanding soccer possessions via path signatures
Federated Survival Analysis with Discrete-Time Cox Models
Credal Networks under Epistemic Irrelevance
Modeling the Chlorophyll-a from Sea Surface Reflectance in West Africa by Deep Learning Methods: A Comparison of Multiple Algorithms
A compositional Semantics for CHR
Validation and Calibration of Energy Models with Real Vehicle Data from Chassis Dynamometer Experiments
Design and Implementation of Real-Time Localization System (RTLS) based on UWB and TDoA Algorithm
A High-Order Spectral Element Solver for Steady-State Free Surface Flows
Defect Prevention Approaches in Medium Scale it Enterprises
Environment and Planning B as a Journal: The interdisciplinarity of its environment and the citation impact
CS591 Report: Application of siamesa network in 2D transformation
OS Scheduling Algorithms for Memory Intensive Workloads in Multi-socket Multi-core servers
Probing the Hidden Talent of ASR Foundation Models for L2 English Oral Assessment
GDPR: Is it worth it? Perceptions of workers who have experienced its implementation
Faster Exact Search using Document Clustering
Joint-Optimized Unsupervised Adversarial Domain Adaptation in Remote Sensing Segmentation with Prompted Foundation Model
Building Knowledge Graphs About Political Agents in the Age of Misinformation
Acoustic-based Gender Differentiation in Speech-aware Language Models
Greening File Distribution: Centralized or Distributed?
Shared Task on Evaluating Accuracy in Natural Language Generation
On Sequences, Rational Functions and Decomposition
Deep learning-based virtual refocusing of images using an engineered point-spread function
Learning Stereopsis from Geometric Synthesis for 6D Object Pose Estimation
Answering Follow-up Questions on Bug Reports with Structured Information Retrieval and Deep Learning
Tiered approach for rapid damage characterisation of infrastructure enabled by remote sensing and deep learning technologies
Explorative analysis of human disease-symptoms relations using the Convolutional Neural Network
Promoting AI Equity in Science: Generalized Domain Prompt Learning for Accessible VLM Research
Deep Reinforcement Learning for Multi-objective Optimization
KAPLA: Pragmatic Representation and Fast Solving of Scalable NN Accelerator Dataflow
Generalized ABBA Space-Time Block Codes
Diversify and Conquer: Diversity-Centric Data Selection with Iterative Refinement
Modelowanie nieliniowej charakterystyki szerokopasmowych wzmacniaczy radiowych o zmiennym napięciu zasilania; Modeling Nonlinear Characteristics of Wideband Radio Frequency Amplifiers with Variable Supply Voltage
Single-epoch supernova classification with deep convolutional neural networks
UniME-V2: MLLM-as-a-Judge for Universal Multimodal Embedding Learning
Flexible Graph Connectivity: Approximating Network Design Problems Between 1- and 2-connectivity
Situated Case Studies for a Human-Centered Design of Explanation User Interfaces
A Geometric Analysis-Based Safety Assessment Framework for MASS Route Decision-Making in Restricted Waters
Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images
3D image based stochastic micro-structure modelling of foams for simulating elasticity
OD-MoE: On-Demand Expert Loading for Cacheless Edge-Distributed MoE Inference
On Machine Learning-Driven Surrogates for Sound Transmission Loss Simulations
On Aadhaar Identity Management System
aflow.org: A Web Ecosystem of Databases, Software and Tools
Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage Guarantees
A re-calibration method for object detection with multi-modal alignment bias in autonomous driving
A Survey of Human-in-the-loop for Machine Learning
CAViAR: Critic-Augmented Video Agentic Reasoning
Delayformer: spatiotemporal transformation for predicting high-dimensional dynamics
NeRF++: Analyzing and Improving Neural Radiance Fields
Sharing LRU Cache Resources among Content Providers: A Utility-Based Approach
Improving Arabic Multi-Label Emotion Classification using Stacked Embeddings and Hybrid Loss Function
A General Regularized Distributed Solution for System State Estimation from Relative Measurements
A Sequential Global Programming Approach for Two-scale Optimization of Homogenized Multiphysics Problems with Application to Biot Porous Media
An Efficient and Adaptive Granular-ball Generation Method in Classification Problem
Provably Efficient Reinforcement Learning with General Value Function Approximation
Enhanced Multi-Index Monte Carlo by means of Multiple Semi-Coarsened Multigrid for Anisotropic Diffusion Problems
Fairness Certification for Natural Language Processing and Large Language Models
Comparisons of Fuzzy MRAS and PID Controllers for EMS Maglev Train
Active Large Language Model-based Knowledge Distillation for Session-based Recommendation
Large Language Models as In-context AI Generators for Quality-Diversity
Centrality in dynamic competition networks
Coding Theorem for Generalized Reed-Solomon Codes
Reverse-Speech-Finder: A Neural Network Backtracking Architecture for Generating Alzheimer's Disease Speech Samples and Improving Diagnosis Performance
HyperSteer: Activation Steering at Scale with Hypernetworks
Theory of Mind for Deep Reinforcement Learning in Hanabi
Joint Nonnegative Matrix Factorization for Community Structures Detection in Signed Networks
Global Outliers Detection in Wireless Sensor Networks: A Novel Approach Integrating Time-Series Analysis, Entropy, and Random Forest-based Classification
Vid2Player: Controllable Video Sprites that Behave and Appear like Professional Tennis Players
Depth Evaluation for Metal Surface Defects by Eddy Current Testing using Deep Residual Convolutional Neural Networks
Multiple receptive fields and small-object-focusing weakly-supervised segmentation network for fast object detection
Solving Parametric PDEs with Radial Basis Functions and Deep Neural Networks
Convolutional codes from unit schemes
Linking Model Intervention to Causal Interpretation in Model Explanation
C-MinHash: Practically Reducing Two Permutations to Just One
Adaptive FEM for Helmholtz Equation with Large Wave Number
interface : Electronic Chamber Ensemble
Synthesizing Efficient and Permissive Programmatic Runtime Shields for Neural Policies
A Space Lower Bound for Approximate Membership with Duplicate Insertions or Deletions of Nonelements
Irregular Accesses Reorder Unit: Improving GPGPU Memory Coalescing for Graph-Based Workloads
SIGTYP 2021 Shared Task: Robust Spoken Language Identification
Learning Dynamical Systems From Invariant Measures
Trustworthy Second-hand Marketplace for Built Environment
Blind Knowledge Distillation for Robust Image Classification
Exploring the Limits of Complexity: A Survey of Empirical Studies on Graph Visualisation
Mind the Gap: Time-of-Check to Time-of-Use Vulnerabilities in LLM-Enabled Agents
Deep Learning-based Occluded Person Re-identification: A Survey
Learning to Recognize Patch-Wise Consistency for Deepfake Detection
Markov Property in Generative Classifiers
Efficient computational noise in GLSL
Using a neural network approach to accelerate disequilibrium chemistry calculations in exoplanet atmospheres
Efficient Causal Inference from Combined Observational and Interventional Data through Causal Reductions
Data-Efficient Learning of Feedback Policies from Image Pixels using Deep Dynamical Models
Non-Asymptotic Analysis of Efficiency in Conformalized Regression
Syndrome-based Fusion Rules in Heterogeneous Distributed Quickest Change Detection
Can AI Help with Your Personal Finances?
The CodRep Machine Learning on Source Code Competition
FaceSkin: A Privacy Preserving Facial skin patch Dataset for multi Attributes classification
Dynamic Orthogonal Continual Fine-tuning for Mitigating Catastrophic Forgettings
On self-duality and hulls of cyclic codes over F 2 m [u]/⟨u k ⟩ with oddly even length
XLM for Autonomous Driving Systems: A Comprehensive Review
Look inside. Predicting stock prices by analysing an enterprise intranet social network and using word co-occurrence networks
Measuring the dimension of partially embedded networks
Coordinated Frequency Control through Safe Reinforcement Learning
Rubric-based Learner Modelling via Noisy Gates Bayesian Networks for Computational Thinking Skills Assessment
Trends in condensed matter physics: is research going faster and faster?
Spiking based Cellular Learning Automata (SCLA) algorithm for mobile robot motion formulation
Relative Advantage Debiasing for Watch-Time Prediction in Short-Video Recommendation
Simple Distributed Weighted Matchings
Historical patterns of rice farming explain modern-day language use in China and Japan more than modernization and urbanization
How do kernel-based sensor fusion algorithms behave under high dimensional noise?
Reservoir computing with a single time-delay autonomous Boolean node
Robust Optimization of Unconstrained Binary Quadratic Problems
BiblioDAP: The 1st Workshop on Bibliographic Data Analysis and Processing
Counterfactual Data Augmentation with Denoising Diffusion for Graph Anomaly Detection
ControlEvents: Controllable Synthesis of Event Camera Datawith Foundational Prior from Image Diffusion Models
Fail-Safe Controller Architectures for Quadcopter with Motor Failures
Generalized Symmetric Divergence Measures and Metric Spaces
AIRA: A Low-cost IR-based Approach Towards Autonomous Precision Drone Landing and NLOS Indoor Navigation
Composable Effect Handling for Programming LLM-integrated Scripts
A Singular Woodbury and Pseudo-Determinant Matrix Identities and Application to Gaussian Process Regression
Detection of sustained signals and its relation to coherent feedforward loops
The Role of a Market Maker in Networked Cournot Competition
Hard Disk Drive as a Magnetomechanical Logic Device
Evolutionary Optimization of High-Coverage Budgeted Classifiers
The Value of Goal Commitment in Planning
Combining Graph-based Dependency Features with Convolutional Neural Network for Answer Triggering
A Unified Framework for Cultural Heritage Data Historicity and Migration: The ARGUS Approach
Customizing Segmentation Foundation Model via Prompt Learning for Instance Segmentation
Stability of Transformers under Layer Normalization
SaliencyCut: Augmenting Plausible Anomalies for Open-set Fine-Grained Anomaly Detection
SCPM-Net: An Anchor-free 3D Lung Nodule Detection Network using Sphere Representation and Center Points Matching