yusuke1997/dblp-id-title huggingface dataset:
Deep learning based black spot identification on Greek road networks
Offline Robotic World Model: Learning Robotic Policies without a Physics Simulator
Dynamic Hypergraph Convolutional Networks for Skeleton-Based Action Recognition
signADAM: Learning Confidences for Deep Neural Networks
Where Would I Go Next? Large Language Models as Human Mobility Predictors
A Structured Approach to the development of Solutions in Excel
Field and long-term demonstration of a wide area quantum key distribution network
Analysis of splitting schemes for stochastic evolution equations with non-Lipschitz nonlinearities driven by fractional noise
The Weisfeiler-Leman dimension of distance-hereditary graphs
MeToo Tweets Sentiment Analysis Using Multi Modal frameworks
Survey of trust models in different network domains
Fairer and more accurate, but for whom?
Link Priority Buffer-Aided Relay Selection with Energy Storage from Energy Harvest
Characterization of Driver Nodes of Anti-Stable Networks
Rediscovering Ranganathan: A Prismatic View of His Life through the Knowledge Graph Spectrum
Simple yet Effective Code-Switching Language Identification with Multitask Pre-Training and Transfer Learning
Deployment of the Saddle Space Transformation in Tracking the Base of Support
X-LineNet: Detecting Aircraft in Remote Sensing Images by a pair of Intersecting Line Segments
Black box modelling of HVAC system : improving the performances of neural networks
PhysBench: A Benchmark Framework for Remote Physiological Sensing with New Dataset and Baseline
No small nondeterministic read-once branching programs for CNFs of bounded treewidth
Leveraging Importance Sampling to Detach Alignment Modules from Large Language Models
CANDOR: Counterfactual ANnotated DOubly Robust Off-Policy Evaluation
Feedback control of event cameras
Toward Practical Deductive Verification: Insights from a Qualitative Survey in Industry and Academia
Coordinated Multicasting with Opportunistic User Selection in Multicell Wireless Systems
Learning RGB-D Salient Object Detection using background enclosure, depth contrast, and top-down features
Passive wing deployment and retraction in beetles and flapping microrobots
Negation-Closure for JSON Schema
ExtPerFC: An Efficient 2D and 3D Perception Hardware-Software Framework for Mobile Cobot
Defense Against Syntactic Textual Backdoor Attacks with Token Substitution
Low-resource Learning with Knowledge Graphs: A Comprehensive Survey
Representation Heterogeneity
Potion: Towards Poison Unlearning
Systematic comparison between methods for the detection of influential spreaders in complex networks
AstroLLaMA-Chat: Scaling AstroLLaMA with Conversational and Diverse Datasets
Integrating Protein Sequence and Expression Level to Analysis Molecular Characterization of Breast Cancer Subtypes
Topic Scaling: A Joint Document Scaling - Topic Model Approach To Learn Time-Specific Topics
The Golden Rule as a Heuristic to Measure the Fairness of Texts Using Machine Learning
IrisNet: Infrared Image Status Awareness Meta Decoder for Infrared Small Targets Detection
Efficient approximation schemes for scheduling on a stochastic number of machines
Motion-guided Non-local Spatial-Temporal Network for Video Crowd Counting
AnomalyGPT: Detecting Industrial Anomalies using Large Vision-Language Models
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image
Communicating Using Spatial Mode Multiplexing: Potentials, Challenges and Perspectives
EncodingNet: A Novel Encoding-based MAC Design for Efficient Neural Network Acceleration
A Proposed Conceptual Framework for a Representational Approach to Information Retrieval
A Distributed Message-Optimal Assignment on Rings
Concept-based Adversarial Attack: a Probabilistic Perspective
Dynamical Update Maps for Particle Flow with Differential Algebra
Low Rank Factorization for Compact Multi-Head Self-Attention
Calibrating the Full Predictive Class Distribution of 3D Object Detectors for Autonomous Driving
On generating fully discrete samples of the stochastic heat equation on an interval
Samplets: Wavelet concepts for scattered data
SeCoST: Sequential Co-Supervision for Weakly Labeled Audio Event Detection
Improving Data Cleaning Using Discrete Optimization
A Comparison and Evaluation of Fine-tuned Convolutional Neural Networks to Large Language Models for Image Classification and Segmentation of Brain Tumors on MRI
Vision Mamba in Remote Sensing: A Comprehensive Survey of Techniques, Applications and Outlook
Efficient and Scalable Neural Symbolic Search for Knowledge Graph Complex Query Answering
SPIRAL: A Superlinearly Convergent Incremental Proximal Algorithm for Nonconvex Finite Sum Minimization
Generating Contrastive Explanations with Monotonic Attribute Functions
Development of a VO Registry Subject Ontology using Automated Methods
Large Language Models are Unreliable for Cyber Threat Intelligence
Outlier Explanation via Sum-Product Networks
Approximating shortest paths in weighted square and hexagonal meshes
Cross-lingual Human-Preference Alignment for Neural Machine Translation with Direct Quality Optimization
Visualizing and Comparing Convolutional Neural Networks
Revisit, Extend, and Enhance Hessian-Free Influence Functions
Emerging Technologies in Requirements Elicitation Interview Training: Robotic and Virtual Tutors
ChatGPT Performance on Standardized Testing Exam - A Proposed Strategy for Learners
A Multilevel Approach to Training
X-Part: high fidelity and structure coherent shape decomposition
Refined Causal Graph Structure Learning via Curvature for Brain Disease Classification
Training Neural Machine Translation using Word Embedding-based Loss
The PFR Conjecture Holds for Two Opposing Special Cases
Improving Q-Learning for Real-World Control: A Case Study in Series Hybrid Agricultural Tractors
ResNetX: a more disordered and deeper network architecture
Facilitating Matches on Allocation Platforms
Temporal Cascade and Structural Modelling of EHRs for Granular Readmission Prediction
Certified Reduced Basis Method for the Damped Wave Equations on Networks
Teaching AI Stepwise Diagnostic Reasoning with Report-Guided Chain-of-Thought Learning
FoCUS: Fourier-based Coded Ultrasound
Beyond the Algorithm: A Field Guide to Deploying AI Agents in Clinical Practice
BaThe: Defense against the Jailbreak Attack in Multimodal Large Language Models by Treating Harmful Instruction as Backdoor Trigger
Baseband and RF Hardware Impairments in Full-Duplex Wireless Systems: Experimental Characterisation and Suppression
Federated Learning Empowered by Generative Content
Z 4 -codes and their Gray map images as orthogonal arrays
Designing a Robust Low-Level Agnostic Controller for a Quadrotor with Actor-Critic Reinforcement Learning
What's Wrong with the Bottom-up Methods in Arbitrary-shape Scene Text Detection
deep-significance - Easy and Meaningful Statistical Significance Testing in the Age of Neural Networks
A 2-categorical analysis of context comprehension
Improving Out-of-Distribution Robustness of Classifiers via Generative Interpolation
MCBlock: Boosting Neural Radiance Field Training Speed by MCTS-based Dynamic-Resolution Ray Sampling
Chatter Classification in Turning Using Machine Learning and Topological Data Analysis
PaC-trees: Supporting Parallel and Compressed Purely-Functional Collections
Brought a Gun to a Knife Fight: Modern VFM Baselines Outgun Specialized Detectors on In-the-Wild AI Image Detection
AUTO3D: Novel view synthesis through unsupervisely learned variational viewpoint and global 3D representation
A Benchmark Study on Sentiment Analysis for Software Engineering Research
Rethinking Cross-lingual Gaps from a Statistical Viewpoint
StrobeNet: Category-Level Multiview Reconstruction of Articulated Objects
Learning Generalizable Physical Dynamics of 3D Rigid Objects
The Effects of Cultural dimensions and Demographic Characteristics on E-learning Acceptance
A Framework for Bottom-Up Simulation of SLD-Resolution
On AI Verification in Open RAN
Learning 3D Shape Completion under Weak Supervision
Bridging Adversarial and Nonstationary Multi-armed Bandit
State-space Abstraction for Anytime Evaluation of Probabilistic Networks
Unveiling Dual Quality in Product Reviews: An NLP-Based Approach
ImputeGAP: A Comprehensive Library for Time Series Imputation
Blind Compressed Sensing Over a Structured Union of Subspaces
Dated Data: Tracing Knowledge Cutoffs in Large Language Models
Semi-Supervised Learning -- A Statistical Physics Approach
Gender-specific behavior change following terror attacks
Quantitative Analysis of Probabilistic Models of Software Product Lines with Statistical Model Checking
Joint Sum Rate And Error Probability Optimization: Finite Blocklength Analysis
De-biased Machine Learning for Compliers
Entity Representation Learning Through Onsite-Offsite Graph for Pinterest Ads
SINR Model with Best Server Association for High Availability Studies of Wireless Networks
Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning
Blink: Dynamic Visual Token Resolution for Enhanced Multimodal Understanding
Digital-physical testbed for ship autonomy studies in the Marine Cybernetics Laboratory basin
Cognitive Assessment Estimation from Behavioral Responses in Emotional Faces Evaluation Task - AI Regression Approach for Dementia Onset Prediction in Aging Societies
The Student/Project Allocation problem with group projects
Integrating Legal and Logical Specifications in Perception, Prediction, and Planning for Automated Driving: A Survey of Methods
Selfish Bin Covering
Line Coverage with Multiple Robots: Algorithms and Experiments
Degrees of Separation: A Flexible Type System for Data Race Prevention
Manifold Learning & Stacked Sparse Autoencoder for Robust Breast Cancer Classification from Histopathological Images
Communication Contention Aware Scheduling of Multiple Deep Learning Training Jobs
Anticipating Future Object Compositions without Forgetting
Data-Driven Safety Certificates of Infinite Networks with Unknown Models and Interconnection Topologies
Sparse multivariate factorization by mean of a few bivariate factorizations
Exposing the Hidden Web: An Analysis of Third-Party HTTP Requests on 1 Million Websites
An introduction to reinforcement learning for neuroscience
Biasing the Driving Style of an Artificial Race Driver for Online Time-Optimal Maneuver Planning
An enriched category theory of language: from syntax to semantics
Personhood credentials: Artificial intelligence and the value of privacy-preserving tools to distinguish who is real online
Enhancement of Co-located Shared VR Experiences: Representing Non-HMD Observers on Both HMD and 2D Screen
Sparse-View X-Ray CT Reconstruction Using 𝓵 1 Prior with Learned Transform
Polynomial Linear System Solving with Random Errors: new bounds and early termination technique
Smart filter aided domain adversarial neural network: An unsupervised domain adaptation method for fault diagnosis in noisy industrial scenarios
A Deeper Insight into the UnDEMoN: Unsupervised Deep Network for Depth and Ego-Motion Estimation
Characterization of Android malware based on subgraph isomorphism
Incremental Sampling-based Algorithm for Minimum-violation Motion Planning
When Robots Obey the Patch: Universal Transferable Patch Attacks on Vision-Language-Action Models
AccVideo: Accelerating Video Diffusion Model with Synthetic Dataset
On Norm-Agnostic Robustness of Adversarial Training
Geometry of locomotion of the generalized Purcell's swimmer : Modelling and controllability
SysML'19 demo: customizable and reusable Collective Knowledge pipelines to automate and reproduce machine learning experiments
On Equivalent Characterizations of NP in Abstract Models of Computation
Enhancing Highway Safety: Accident Detection on the A9 Test Stretch Using Roadside Sensors
On the design of scalable, high-precision spherical-radial Fourier features
Active Image-based Modeling
A Nearly Optimal Algorithm for the Geodesic Voronoi Diagram in a Simple Polygon
RBF-FD Method for Some Dispersive Wave Equations and Their Eventual Periodicity
Bind: a Partitioned Global Workflow Parallel Programming Model
One More Glance with Sharp Eyes: Rethinking Lightweight Captioning as a Practical Visual Specialist
Connections between Operator-splitting Methods and Deep Neural Networks with Applications in Image Segmentation
NoMIRACL: Knowing When You Don't Know for Robust Multilingual Retrieval-Augmented Generation
A FEniCS-Based Programming Framework for Modeling Turbulent Flow by the Reynolds-Averaged Navier-Stokes Equations
RePAST: A ReRAM-based PIM Accelerator for Second-order Training of DNN
Social Disparities in Oral Health in America amid the COVID-19 Pandemic
Supervised Stochastic Gradient Algorithms for Multi-Trial Source Separation
Intra-clip Aggregation for Video Person Re-identification
Indirect Quantum Approximate Optimization Algorithms: application to the TSP
Infinite Words and Morphic Languages Formalized in Isabelle/HOL
View-Dependent Uncertainty Estimation of 3D Gaussian Splatting
Dynamic social learning under graph constraints
Learning Quantum Processes with Memory - Quantum Recurrent Neural Networks
Minimal-norm solution to the Fredholm integral equations of the first kind via the H-HK formulation
Dejavu: An Accurate Energy-Efficient Outdoor Localization System
Saliency Based Control in Random Feature Networks
Financial technologies (FinTech) for mental health: The potential of objective financial data to better understand the relationships between financial behavior and mental health
Generic cuspidal points and their localization
Joint Source-Target Self Attention with Locality Constraints
Dynamical reweighting for estimation of fluctuation formulas
Performance Analysis of I/Q Imbalance with Hardware Impairments over Fox's H-Fading Channels
A Novel Tracking Framework for Devices in X-ray Leveraging Supplementary Cue-Driven Self-Supervised Features
CSI2Image: Image Reconstruction from Channel State Information Using Generative Adversarial Networks
Improving Classification of Retinal Fundus Image Using Flow Dynamics Optimized Deep Learning Methods
Slow poisoning and destruction of networks: edge proximity and its implications for biological and infrastructure networks
Myerson on a Network
Consensus-Based Torque Control of Deloaded Wind DFIGs for Distributed and Fair Dynamic Dispatching
Mug-STAN: Adapting Image-Language Pretrained Models for General Video Understanding
An approach to identify the most semantically informative deep representations of text and images
GujiBERT and GujiGPT: Construction of Intelligent Information Processing Foundation Language Models for Ancient Texts
Discond-VAE: Disentangling Continuous Factors from the Discrete
Sampling Method for Fast Training of Support Vector Data Description
Buffer occupancy asymptotics in rate proportional sharing networks with heterogeneous long-tailed inputs
CDCGen: Cross-Domain Conditional Generation via Normalizing Flows and Adversarial Training
Augmenting Hessians with Inter-Layer Dependencies for Mixed-Precision Post-Training Quantization
Reshaping Free-Text Radiology Notes Into Structured Reports With Generative Transformers
SpectralKrum: A Spectral-Geometric Defense Against Byzantine Attacks in Federated Learning
Active Inverse Methods in Stackelberg Games with Bounded Rationality
Particle swarm optimization for online sparse streaming feature selection under uncertainty
Pushing Rendering Boundaries: Hard Gaussian Splatting
Higher-order mutual information reveals synergistic sub-networks for multi-neuron importance
Coordinated Expansion Planning of Transmission and Distribution Systems Integrated with Smart Grid Technologies
User Behavior Discovery in the COVID-19 Era through the Sentiment Analysis of User Tweet Texts
Autonomous Embodied Agents: When Robotics Meets Deep Learning Reasoning
Zur Modellierung und Klassifizierung von Kompetenzen in der grundlegenden Programmierausbildung anhand der Anderson Krathwohl Taxonomie
Isabelle/HOL as a Meta-Language for Teaching Logic
Stable recovery of complex dictionary-sparse signals from phaseless measurements
Exploring Text Representations for Online Misinformation
The Role of Community Detection Methods in Performance Variations of Graph Mining Tasks
From Dense to Dynamic: Token-Difficulty Driven MoEfication of Pre-Trained LLMs
Scaling Laws for Economic Productivity: Experimental Evidence in LLM-Assisted Translation
Institutional AI Sovereignty Through Gateway Architecture: Implementation Report from Fontys ICT
Nonparametric, Nonasymptotic Confidence Bands with Paley-Wiener Kernels for Band-Limited Functions
A note on searching sorted unbalanced three-dimensional arrays
A formal proof of the Kepler conjecture
Dynamics of organizational culture: Individual beliefs vs. social conformity
Formulations and Approximations of the Branch Flow Model for Mesh Power Networks
Fast Computation of the Direct Scattering Transform by Fourth Order Conservative Multi-Exponential Scheme
Video-ReTime: Learning Temporally Varying Speediness for Time Remapping
Do Deep Learning Methods Really Perform Better in Molecular Conformation Generation?
Construction of an NP Problem with an Exponential Lower Bound
SXVCS: An XOR-based Visual Cryptography Scheme without Noise via Linear Algebra
M 3 HL: Mutual Mask Mix with High-Low Level Feature Consistency for Semi-Supervised Medical Image Segmentation
Efficient Latent Variable Graphical Model Selection via Split Bregman Method
Adaptive Nonlinear Model Reduction for Fast Power System Simulation
Q-FSRU: Quantum-Augmented Frequency-Spectral Fusion for Medical Visual Question Answering
Event Structure of Transitive Verb: A MARVS perspective
Generalized Lorenz dominance orders
MuCoMiD: A Multitask Convolutional Learning Framework for miRNA-Disease Association Prediction
Application of Artificial Intelligence in Supporting Healthcare Professionals and Caregivers in Treatment of Autistic Children
Pólygamma Data Augmentation to address Non-conjugacy in the Bayesian Estimation of Mixed Multinomial Logit Models
AI-Enhanced Resilience in Power Systems: Adversarial Deep Learning for Robust Short-Term Voltage Stability Assessment under Cyber-Attacks
A computational perspective of the role of Thalamus in cognition
On Classification with Bags, Groups and Sets
Self-Explaining Reinforcement Learning for Mobile Network Resource Allocation
Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative Learning
Enhancing Trust Management System for Connected Autonomous Vehicles Using Machine Learning Methods: A Survey
Semi-Supervised Relational Contrastive Learning
The Information Security Awareness of Large Language Models
Pseudo value-based Deep Neural Networks for Multi-state Survival Analysis
Absence of Barren Plateaus in Quantum Convolutional Neural Networks
Pretraining Chinese BERT for Detecting Word Insertion and Deletion Errors
Efficient Polling Protocol for Decentralized Social Networks
Scaling Limit of Neural Networks with the Xavier Initialization and Convergence to a Global Minimum
A Space-Time Approach for the Time-Domain Simulation in a Rotating Reference Frame
Seeing the Signs: A Survey of Edge-Deployable OCR Models for Billboard Visibility Analysis
The Photographer Eye: Teaching Multimodal Large Language Models to See and Critique like Photographers
Toward Super-Polynomial Size Lower Bounds for Depth-Two Threshold Circuits
Speaker Identification in the Shouted Environment Using Suprasegmental Hidden Markov Models
Beyond Language: Applying MLX Transformers to Engineering Physics
Three-Dimension Collision-Free Trajectory Planning of UAVs Based on ADS-B Information in Low-Altitude Urban Airspace
Variational Mode Decomposition and Linear Embeddings are What You Need For Time-Series Forecasting
Schema Graph-Guided Prompt for Multi-Domain Dialogue State Tracking
SlotVLA: Towards Modeling of Object-Relation Representations in Robotic Manipulation
Using Design Sketch to Teach Bubble Sort in High School
A Phase Resonance Approach for Modal Testing of Structures with Nonlinear Dissipation
Buy your coffee with bitcoin: Real-world deployment of a bitcoin point of sale terminal
HiPaR: Hierarchical Pattern-aided Regression
Deep Multi-Fidelity Active Learning of High-dimensional Outputs
Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity
Discrete generative diffusion models without stochastic differential equations: a tensor network approach
Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance
Evaluating the Performance of LLMs on Technical Language Processing tasks
Fast, Multicore-Scalable, Low-Fragmentation Memory Allocation through Large Virtual Memory and Global Data Structures
Learning Against Distributional Uncertainty: On the Trade-off Between Robustness and Specificity
Mixed geometry information regularization for image multiplicative denoising
DEM Registration and Error Analysis using ASCII values
Exploring Information-Theoretic Metrics Associated with Neural Collapse in Supervised Training
Hack Weeks as a model for Data Science Education and Collaboration
Game Theory with Costly Computation
Correct-by-Design Teamwork Plans for Multi-Agent Systems
Large-Scale Auto-Regressive Modeling Of Street Networks
Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift
Design of Information and Telecommunication Systems with the Usage of the Multi-Layer Graph Model
Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence
Advancing Content Moderation: Evaluating Large Language Models for Detecting Sensitive Content Across Text, Images, and Videos
Generalized Random Surfer-Pair Models
How to use the Scuba Diving metaphor to solve problem with neutrality ?
ABC: A Big CAD Model Dataset For Geometric Deep Learning
Learning subtree pattern importance for Weisfeiler-Lehmanbased graph kernels
Automated clustering of video games into groups with distinctive names
Convolutional Feature Enhancement and Attention Fusion BiFPN for Ship Detection in SAR Images
On the Initialization of Nonlinear LFR Model Identification with the Best Linear Approximation
Amuro & Char: Analyzing the Relationship between Pre-Training and Fine-Tuning of Large Language Models
Learning Class-specific Word Representations for Early Detection of Hoaxes in Social Media
Replicable Reinforcement Learning with Linear Function Approximation
Ultra-slender Coaxial Antagonistic Tubular Robot for Ambidextrous Manipulation
Minimax and Bayes Optimal Best-arm Identification: Adaptive Experimental Design for Treatment Choice
How does representation impact in-context learning: A exploration on a synthetic task
Estimation of Discretized Motion of Pedestrians by the Decision-Making Model
The Densest SWAMP problem: subhypergraphs with arbitrary monotonic partial edge rewards
On Function Description
Deterministic Consensus Algorithm with Linear Per-Bit Complexity
Hyperspectral Sharpening using Scene-adapted Gaussian Mixture Priors
Make It Long, Keep It Fast: End-to-End 10k-Sequence Modeling at Billion Scale on Douyin
High curvature means low-rank: On the sectional curvature of Grassmann and Stiefel manifolds and the underlying matrix trace inequalities
Dependency Graph-to-String Statistical Machine Translation
SenTag: a Web-based Tool for Semantic Annotation of Textual Documents
Kählerian information geometry for signal processing
IT Security Status of German Energy Providers
Steps Toward Deep Kernel Methods from Infinite Neural Networks
Information and Communication Theoretical Understanding and Treatment of Spinal Cord Injuries: State-of-the-art and Research Challenges
Inference-Time Policy Steering through Human Interactions
Object-oriented approach to Rapid Custom Instruction design
The Power of Lorentz Quantum Computer
RL-AD-Net: Reinforcement Learning Guided Adaptive Displacement in Latent Space for Refined Point Cloud Completion
Efficient Distributed Learning over Decentralized Networks with Convoluted Support Vector Machine
CHASe: Client Heterogeneity-Aware Data Selection for Effective Federated Active Learning
Unfolding-Aided Bootstrapped Phase Retrieval in Optical Imaging