yusuke1997/dblp-id-title huggingface dataset:
Toward robust early-warning models: A horse race, ensembles and model uncertainty
Shared Nodes of Overlapping Communities in Complex Networks
Neural Inverse Kinematics
Research on intelligent generation of structural demolition suggestions based on multi-model collaboration
Neural Attention: Enhancing QKV Calculation in Self-Attention Mechanism with Neural Networks
AudioLens: A Closer Look at Auditory Attribute Perception of Large Audio-Language Models
Energy Aware Camera Location Search Algorithm for Increasing Precision of Observation in Automated Manufacturing
Leveraging Gaussian Process and Voting-Empowered Many-Objective Evaluation for Fault Identification
Requirements for Open Political Information: Transparency Beyond Open Data
Calo-VQ: Vector-Quantized Two-Stage Generative Model in Calorimeter Simulation
Feature Agglomeration Networks for Single Stage Face Detection
CLoD-GS: Continuous Level-of-Detail via 3D Gaussian Splatting
Asymptotically Optimal Sequential Estimation of the Mean Based on Inclusion Principle
A Novel Interaction-based Methodology Towards Explainable AI with Better Understanding of Pneumonia Chest X-ray Images
NETR-Tree: An Eifficient Framework for Social-Based Time-Aware Spatial Keyword Query
Recommending Code Improvements Based on Stack Overflow Answer Edits
MultiVic: A Time-Predictable RISC-V Multi-Core Processor Optimized for Neural Network Inference
Isometric Graph Neural Networks
FFEINR: Flow Feature-Enhanced Implicit Neural Representation for Spatio-temporal Super-Resolution
Learning Certifiably Robust Controllers Using Fragile Perception
Delay-Optimal Scheduling for Queueing Systems with Switching Overhead
LISTEN: Lightweight Industrial Sound-representable Transformer for Edge Notification
BundleSeg: A versatile, reliable and reproducible approach to white matter bundle segmentation
Low-Complexity Linear Programming Based Decoding of Quantum LDPC codes
Integrative conformal p-values for powerful out-of-distribution testing with labeled outliers
Improving Malaria Parasite Detection from Red Blood Cell using Deep Convolutional Neural Networks
Federated Anomaly Detection over Distributed Data Streams
IT-map: an Effective Nonlinear Dimensionality Reduction Method for Interactive Clustering
Solving Pallet loading Problem with Real-World Constraints
Rebooting Internet Immunity
Learning to Generate Grounded Image Captions without Localization Supervision
Generalized k-Cell Decomposition for Visibility Planning in Polygons
Who Re-Uses Data? A Bibliometric Analysis of Dataset Citations
LibVulnWatch: A Deep Assessment Agent System and Leaderboard for Uncovering Hidden Vulnerabilities in Open-Source AI Libraries
How can Diffusion Models Evolve into Continual Generators?
Unsupervised Classification Using Immune Algorithm
MediRound: Multi-Round Entity-Level Reasoning Segmentation in Medical Images
Contextually-rich human affect perception using multimodal scene information
A predictive path-following controller for multi-steered articulated vehicles
RFNNS: Robust Fixed Neural Network Steganography with Popular Deep Generative Models
Extended superposition theorem under power grid topological changes
One Filters All: A Generalist Filter for State Estimation
Privacy-Preserving Push-sum Average Consensus via State Decomposition
Sistema de navegación de cobertura para vehículos no holonómicos en ambientes de exterior
Thinking Like a Student: AI-Supported Reflective Planning in a Theory-Intensive Computer Science Course
Enhancements to ACL2 in Versions 5.0, 6.0, and 6.1
A Driver Behavior Modeling Structure Based on Non-parametric Bayesian Stochastic Hybrid Architecture
Evidence for five types of fixation during a random saccade eye tracking task: Implications for the study of oculomotor fatigue
Supervised Machine Learning for Breast Cancer Risk Factors Analysis and Survival Prediction
Understanding Counterspeech for Online Harm Mitigation
Design of the Artificial: lessons from the biological roots of general intelligence
On the Power of Deep but Naive Partial Label Learning
Safe-SAIL: Towards a Fine-grained Safety Landscape of Large Language Models via Sparse Autoencoder Interpretation Framework
Quantum Multi-Agent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systems
Semi-Supervised Variational Autoencoder for Survival Prediction
Multi-grained Attention Networks for Single Image Super-Resolution
Vehicle single track modeling using physics guided neural differential equations
D-TensoRF: Tensorial Radiance Fields for Dynamic Scenes
Alada: Alternating Adaptation of Momentum Method for Memory-Efficient Matrix Optimization
Data driven reconstruction using frames and Riesz bases
Enhancing Remote Sensing Image Retrieval with Triplet Deep Metric Learning Network
cymyc - Calabi-Yau Metrics, Yukawas, and Curvature
Independent innovation analysis for nonlinear vector autoregressive process
On the Identification of SM and Alamouti Coded SC-FDMA Signals: A Statistical-Based Approach
CEN : Cooperatively Evolving Networks
Tracing scientific influence
Implementation of the Six Channel Redundancy to achieve fault tolerance in testing of satellites
Adversarial Incremental Learning
EEPPR: Event-based Estimation of Periodic Phenomena Rate using Correlation in 3D
SkipViT: Speeding Up Vision Transformers with a Token-Level Skip Connection
Service Provisioning and Profit Maximization in Network-assisted Adaptive HTTP Streaming
Balancing Profit and Traveller Acceptance in Ride-Pooling Personalised Fares
6DoF Object Pose Estimation via Differentiable Proxy Voting Loss
A New Interweave Cognitive Radio Scheme for Out-band Energy Harvesting Systems
k-Anonymously Private Search over Encrypted Data
Isomorphism testing of k-spanning tournaments is Fixed Parameter Tractable
Evaluating U-net Brain Extraction for Multi-site and Longitudinal Preclinical Stroke Imaging
History-Aware Trajectory k-Anonymization Using an FPGA-Based Hardware Accelerator for Real-Time Location Services
Impact of Two Realistic Mobility Models for Vehicular Safety Applications
Anonymization with Worst-Case Distribution-Based Background Knowledge
DeFog: Fog Computing Benchmarks
A Knowledge-Based Resource Discovery for Internet of Things
Precedence-constrained Scheduling of Malleable Jobs with Preemption
GMSCN: Generative Model Selection Using a Scalable and Size-Independent Complex Network Classifier
Smart Meter Privacy: Adversarial Hypothesis Testing Models
Breathless: An 8-hour Performance Contrasting Human and Robot Expressiveness
Unveiling Options with Neural Decomposition
Cross-domain Activity Recognition via Substructural Optimal Transport
Intent-driven Autonomous Network and Service Management in Future Networks: A Structured Literature Review
LLM-PCGC: Large Language Model-based Point Cloud Geometry Compression
Paradigm Shift in Infrastructure Inspection Technology: Leveraging High-performance Imaging and Advanced AI Analytics to Inspect Road Infrastructure
Computing Melodic Templates in Oral Music Traditions
Approximate message-passing decoder and capacity-achieving sparse superposition codes
Ambient Backscatter Systems: Exact Average Bit Error Rate under Fading Channels
Pre-Training with Whole Word Masking for Chinese BERT
Towards Harnessing Large Language Models for Comprehension of Conversational Grounding
The Role of World Models in Shaping Autonomous Driving: A Comprehensive Survey
OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain
Analyzing Key Neurons in Large Language Models
A General Constructive Upper Bound on Shallow Neural Nets Complexity
Explicit Lower Bounds via Geometric Complexity Theory
Nonlinear model order reduction for problems with microstructure using mesh informed neural networks
Leveraging Transformers to Improve Breast Cancer Classification and Risk Assessment with Multi-modal and Longitudinal Data
Causal Regime Detection in Energy Markets With Augmented Time Series Structural Causal Models
Reusable Templates and Guides For Documenting Datasets and Models for Natural Language Processing and Generation: A Case Study of the HuggingFace and GEM Data and Model Cards
Post-Training Large Language Models via Reinforcement Learning from Self-Feedback
On a generalized Collatz-Wielandt formula and finding saddle-node bifurcations
Iterative Refinement for 𝓁 p -norm Regression
Toward Efficient Interactions between Python and Native Libraries
A Rigorous Error Bound for the TG Kernel in Prime Counting
Design and Implementation of 5G eHealth Systems, Technologies, Use Cases and Future Challenges
Autonomous Farm Vehicles: Prototype of Power Reaper
Does the End Justify the Means? On the Moral Justification of Fairness-Aware Machine Learning
Deep attention-based classification network for robust depth prediction
The price of fairness for a small number of indivisible items
Second-Order Asymptotically Optimal Universal Outlying Sequence Detection with Reject Option
A Suite of Fairness Datasets for Tabular Classification
Towards interpretable emotion recognition: Identifying key features with machine learning
Adaptive Technique for Computationally Efficient Time Delay and Magnitude Estimation of Sinusoidal Signals
Closing the Gap in High-Risk Pregnancy Care Using Machine Learning and Human-AI Collaboration
EfficientXpert: Efficient Domain Adaptation for Large Language Models via Propagation-Aware Pruning
Exploring What Why and How: A Multifaceted Benchmark for Causation Understanding of Video Anomaly
Reinforcement Learning Integrated Agentic RAG for Software Test Cases Authoring
Fast Bayesian Uncertainty Estimation of Batch Normalized Single Image Super-Resolution Network
Program Synthesis from Visual Specification
Exploring the Efficacy of Federated-Continual Learning Nodes with Attention-Based Classifier for Robust Web Phishing Detection: An Empirical Investigation
TweepFake: about Detecting Deepfake Tweets
Simulations in Recommender Systems: An industry perspective
An Empirical Analysis of Internet Protocol Version 6 (IPv6)
Climate And Resource Awareness is Imperative to Achieving Sustainable AI (and Preventing a Global AI Arms Race)
Interplay between Cryptocurrency Transactions and Online Financial Forums
A Quantum Algorithm for the Finite Element Method
Post Quantum Cryptography: Readiness Challenges and the Approaching Storm
Machine learning can guide experimental approaches for protein digestibility estimations
Human-centric Maintenance Process Through Integration of AI, Speech, and AR
Policy Choice and Best Arm Identification: Comments on "Adaptive Treatment Assignment in Experiments for Policy Choice"
PROC2PDDL: Open-Domain Planning Representations from Texts
Under the Sand: Navigation and Localization of a Small Unmanned Aerial Vehicle for Landmine Detection with Ground Penetrating Synthetic Aperture Radar
Termination Analysis of Linear-Constraint Programs
BondBERT: What we learn when assigning sentiment in the bond market
Constructing bent functions and bent idempotents of any possible algebraic degrees
A Quantitative Framework for Network Resilience Evaluation using Dynamic Bayesian Network
A brief survey on deep belief networks and introducing a new object oriented MATLAB toolbox (DeeBNet)
Effect of Surface Finish of Substrate on Mechanical Reliability of in-48SN Solder Joints in Moems Package
Fast Successive-Cancellation Decoding of 2 x 2 Kernel Non-Binary Polar Codes: Identification, Decoding and Simplification
A Peek into the Political Biases in Email Spam Filtering Algorithms During US Election 2020
Heavy Traffic Optimal Resource Allocation Algorithms for Cloud Computing Clusters
Overcoming Endurance Issue: UAV-Enabled Communications with Proactive Caching
Improvement of Automatic Hemorrhages Detection Methods Using Shapes Recognition
Graph Neural Networks for Dynamic Modeling of Roller Bearing
Dynamic classifier chains for multi-label learning
From Ceilings to Walls: Universal Dynamic Perching of Small Aerial Robots on Surfaces with Variable Orientations
Identifying Terrain Physical Parameters from Vision - Towards Physical-Parameter-Aware Locomotion and Navigation
Coupling non-conforming discretizations of PDEs by spectral approximation of the Lagrange multiplier space
On extractable shared information
Bounds for the $l_1$-distance of $q$-ary lattices obtained via Constructions D, D$^{'}$ and $\overline{D}$
A Multimodal Framework for Explainable Evaluation of Soft Skills in Educational Environments
Two-Stream Regression Network for Dental Implant Position Prediction
A Probabilistic Representation of DNNs: Bridging Mutual Information and Generalization
Scalability Assurance in SFC provisioning via Distributed Design for Deep Reinforcement Learning
Unsupervised Domain-agnostic Fake News Detection using Multi-modal Weak Signals
Trial-Based Dominance Enables Non-Parametric Tests to Compare both the Speed and Accuracy of Stochastic Optimizers
The Simplex Geometry of Graphs
Sparsity Promoting Reconstruction of Delta Modulated Voice Samples by Sequential Adaptive Thresholds
Geometric Dominating Set and Set Cover via Local Search
Updatable Balanced Index for Fast On-device Search with Auto-selection Model
Assessing Language Model Deployment with Risk Cards
Topic words analysis based on LDA model
Actively learning to learn causal relationships
High-Order Oracle Complexity of Smooth and Strongly Convex Optimization
The Capacity of Ad hoc Networks under Random Packet Losses
FLoRIST: Singular Value Thresholding for Efficient and Accurate Federated Fine-Tuning of Large Language Models
Proactive User Information Acquisition via Chats on User-Favored Topics
How Random is a Coin Toss? Bayesian Inference and the Symbolic Dynamics of Deterministic Chaos
An Improved Model for Diabetic Retinopathy Detection by using Transfer Learning and Ensemble Learning
A gauge-invariant reversible cellular automaton
Unsupervised Change Detection of Extreme Events Using ML On-Board
Safety and Security Analysis of Large Language Models: Benchmarking Risk Profile and Harm Potential
CP-nets and Nash equilibria
BESS: Balanced Entity Sampling and Sharing for Large-Scale Knowledge Graph Completion
Mortality Rates of US Counties: Are they Reliable and Predictable?
Code-Verification Techniques for an Arbitrary-Depth Electromagnetic Slot Model
Linguistic Knowledge Transfer Learning for Speech Enhancement
Verifiable measurement-based quantum random sampling with trapped ions
On null completely regular codes in Manhattan metric
Few-Shot Text Classification with Pre-Trained Word Embeddings and a Human in the Loop
Using context to make gas classifiers robust to sensor drift
Event-Triggered Stabilization of Nonlinear Systems with Time-Varying Sensing and Actuation Delay
Reasoning with failures
CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching
Dimension reduction techniques for ℓ p , 1 ≤ p < ∞, with applications
Boolean Decision Rules for Reinforcement Learning Policy Summarisation
Understanding Stress: A Web Interface for Mental Arithmetic Tasks in a Trier Social Stress Test
Deep Learning-based 3D Coronary Tree Reconstruction from Two 2D Non-simultaneous X-ray Angiography Projections
Perspectives on urban theories
Causal Machine Learning Methods for Estimating Personalised Treatment Effects - Insights on validity from two large trials
Vlaser: Vision-Language-Action Model with Synergistic Embodied Reasoning
Improving few-shot learning-based protein engineering with evolutionary sampling
Learn how to Prune Pixels for Multi-view Neural Image-based Synthesis
Enhanced Inter-Cell Interference Coordination Challenges in Heterogeneous Networks
Uncertainty Quantification in Forward Problems: Balancing Accuracy and Robustness Using CWENO Interpolations
Cancer Subtype Identification through Integrating Inter and Intra Dataset Relationships in Multi-Omics Data
acoupi: An Open-Source Python Framework for Deploying Bioacoustic AI Models on Edge Devices
The Ability of Image-Language Explainable Models to Resemble Domain Expertise
Both Efficiency and Effectiveness! A Large Scale Pre-ranking Framework in Search System
SELF & FEIL: Emotion and Intensity Lexicons for Finnish
The PartialSpoof Database and Countermeasures for the Detection of Short Generated Audio Segments Embedded in a Speech Utterance
Benchmarking Micro-action Recognition: Dataset, Methods, and Applications
Quasi-recursive MDS Matrices over Galois Rings
Nondeterministic tree-walking automata are not closed under complementation
Sets of Stochastic Matrices with Converging Products: Bounds and Complexity
Stochastic framework for scheduling preemptive upgrades of distribution transformers
Spec-Gloss Surfels and Normal-Diffuse Priors for Relightable Glossy Objects
Dynamic Network Formation with Incomplete Information
ATEK: Augmenting Transformers with Expert Knowledge for Indoor Layout Synthesis
Female Leadership in Software Projects: A Preliminary Result on Leadership Style and Project Context Factors
Empowering Functional Neuroimaging: A Pre-trained Generative Framework for Unified Representation of Neural Signals
Picking vs. Guessing Secrets: A Game-Theoretic Analysis (Technical Report)
Deep Reinforcement Learning in System Optimization
Theoretical foundations and limits of word embeddings: what types of meaning can they capture?
Performance Optimization of MapReduce-based Apriori Algorithm on Hadoop Cluster
Distribution of Reconfiguration Languages maintaining Tree-like Communication Topology
TransReg: Cross-transformer as auto-registration module for multi-view mammogram mass detection
Rare-Event Chance-Constrained Flight Control Optimization Using Surrogate-Based Subset Simulation
SciMaster: Towards General-Purpose Scientific AI Agents, Part I. X-Master as Foundation: Can We Lead on Humanity's Last Exam?
Interpretable Contrastive Monte Carlo Tree Search Reasoning
Generating Primes Using Partitions
The Effects of Signal-to-Noise Ratio on Generative Adversarial Networks Applied to Marine Bioacoustic Data
A generalized intelligent quality-based approach for fusing multi-source information
The Operating System of the Neuromorphic BrainScaleS-1 System
Safety, Relative Tightness and the Probabilistic Frame Rule
Training Ternary Neural Networks with Exact Proximal Operator
Modular structure of the Weyl algebra
Providing Explanations for Recommendations in Reciprocal Environments
Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI
AgentSHAP: Interpreting LLM Agent Tool Importance with Monte Carlo Shapley Value Estimation
Control Variates for Stochastic Gradient MCMC
ArguGPT: evaluating, understanding and identifying argumentative essays generated by GPT models
Finite Element Representation Network (FERN) for Operator Learning with a Localized Trainable Basis
Mapping excellence in national research systems: the case of Italy
Privacy-Preserved Big Data Analysis Based on Asymmetric Imputation Kernels
Clustering Students According to their Academic Achievement Using Fuzzy Logic
Which bills are lobbied? Predicting and interpreting lobbying activity in the US
Higher Order Recurrent Space-Time Transformer
Master Thesis: Neural Sign Language Translation by Learning Tokenization
On The Lag of Library Vulnerability Updates: An Investigation into the Repackage and Delivery of Security Fixes Within The npm JavaScript Ecosystem
Cooperative event-based rigid formation control
Computing Expected Motif Counts for Exchangeable Graph Generative Models
A Fuzzy Co-Clustering approach for Clickstream Data Pattern
Brief Announcement: On the Limits of Parallelizing Convolutional Neural Networks on GPUs
Model-based learning for location-to-channel mapping
Remeasuring the Arbitrage and Sandwich Attacks of Maximal Extractable Value in Ethereum
Opinion-Driven Robot Navigation: Human-Robot Corridor Passing
A survey on active noise control techniques - Part I: Linear systems
Practical and Secure Federated Recommendation with Personalized Masks
EvalAssist: A Human-Centered Tool for LLM-as-a-Judge
Necessary and Sufficient Conditions for Capacity-Achieving Private Information Retrieval with Non-Colluding and Colluding Servers
Asymptotics of SGD in Sequence-Single Index Models and Single-Layer Attention Networks
A Single Exponential-Time FPT Algorithm for Cactus Contraction
Online Output-Feedback Parameter and State Estimation for Second Order Linear Systems
Who Should Review Your Proposal? Interdisciplinary Topic Path Detection for Research Proposals
No Price Tags? No Problem: Query Strategies for Unpriced Information
Exploiting Function-Family Structure in Analog Circuit Optimization
Fair Allocation Algorithms for Indivisible Items under Structured Conflict Constraints
Loss-sensitive Training of Probabilistic Conditional Random Fields
Achieving Fairness with a Simple Ridge Penalty
AIssistant: An Agentic Approach for Human-AI Collaborative Scientific Work on Reviews and Perspectives in Machine Learning
AlphaFlow: Understanding and Improving MeanFlow Models
ORQA: A Benchmark and Foundation Model for Holistic Operating Room Modeling
Modular Simulation Framework for Process Variation Analysis of MRAM-based Deep Belief Networks
Hope Speech Detection in code-mixed Roman Urdu tweets: A Positive Turn in Natural Language Processing
Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization
Temperature and Persona Shape LLM Agent Consensus With Minimal Accuracy Gains in Qualitative Coding
Reliable AI: Does the Next Generation Require Quantum Computing?
SlimComm: Doppler-Guided Sparse Queries for Bandwidth-Efficient Cooperative 3-D Perception
Non-intrusive Nonlinear Model Reduction via Machine Learning Approximations to Low-dimensional Operators
Auxilio: A Sensor-Based Wireless Head-Mounted Mouse for People with Upper Limb Disability
DiDA: Disentangled Synthesis for Domain Adaptation
Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system
A comparison of model view controller and model view presenter
Always Look on the Bright Side of the Field: Merging Pose and Contextual Data to Estimate Orientation of Soccer Players
Overcoming Topology Agnosticism: Enhancing Skeleton-Based Action Recognition through Redefined Skeletal Topology Awareness
Continuous GNN-based Anomaly Detection on Edge using Efficient Adaptive Knowledge Graph Learning
NeurInt : Learning to Interpolate through Neural ODEs
Modelling of measuring systems - From white box models to cognitive approaches
Probabilistic Forecasting Method for Offshore Wind Farm Cluster under Typhoon Conditions: a Score-Based Conditional Diffusion Model
Leveraging the Power of AI and Social Interactions to Restore Trust in Public Polls
A Band-independent Variable Step Size Proportionate Normalized Subband Adaptive Filter Algorithm
Mask-Guided Multi-Channel SwinUNETR Framework for Robust MRI Classification
GraSP-VLA: Graph-based Symbolic Action Representation for Long-Horizon Planning with VLA Policies
Brain-inspired AI Agent: The Way Towards AGI
Evaluating Input Modalities for Pilot-Centered Taxiway Navigation: Insights from a Wizard-of-Oz Simulation
GAP-RL: Grasps As Points for RL Towards Dynamic Object Grasping
Optimization of Lyapunov Invariants in Verification of Software Systems (Extended Version)
Staying in the Sweet Spot: Responsive Reasoning Evolution via Capability-Adaptive Hint Scaffolding
Towards Inference-time Category-wise Safety Steering for Large Language Models
Three Semantics for Modular Systems
Super-Scalable Molecular Dynamics Algorithm
Cyclic Hypergraph Degree Sequences
AFETM: Adaptive function execution trace monitoring for fault diagnosis
A splitting random-choice dynamic relaxation method for smoothed particle hydrodynamics
Scrypt Mining with ASICs
Toward path-invariant embeddings for local distance source characterization
On/Off Macrocells and Load Balancing in Heterogeneous Cellular Networks
Embeddable of one-vertex graph with rotations into torus
Characteristics of multithreading models for high-performance IO driven network applications
System identification of neural systems: If we got it right, would we know?
Asymptotic bounds on the equilateral dimension of hypercubes
Towards Modelling Coherence in Spoken Discourse
Improving Contrastive Learning with Model Augmentation
Market Research on IIoT Standard Compliance Monitoring Providers and deriving Attributes for IIoT Compliance Monitoring