yusuke1997/dblp-id-title huggingface dataset:
P4Kube: In-Network Load Balancer for Kubernetes
Variance of the Internal Profile in Suffix Trees
A High-Level LTL Synthesis Format: TLSF v1.1
The Provable Benefits of Unsupervised Data Sharing for Offline Reinforcement Learning
Frame Interpolation with Multi-Scale Deep Loss Functions and Generative Adversarial Networks
Bitcoin and Decentralized Trust Protocols
5' -> 3' Watson-Crick Automata accepting Necklaces
Maximal Ratio Combining Diversity Analysis of Underwater Wireless Communications Subject to κ-μ Shadowed Fading Channels
Enhancing Mobile App Bug Reporting via Real-time Understanding of Reproduction Steps
Disentangling multiple scattering with deep learning: application to strain mapping from electron diffraction patterns
Re-thinking Enrolment in Identity Card Schemes
Power Gradient Descent
Dimensionality-Dependent Generalization Bounds for $k$-Dimensional Coding Schemes
From climate change to pandemics: decision science can help scientists have impact
Perspectives: Comparison of Deep Learning Segmentation Models on Biophysical and Biomedical Data
Partial Queries for Constraint Acquisition
Fitting Multiple Machine Learning Models with Performance Based Clustering
Learning to Search via Self-Imitation
A behaviouristic approach to representing processes and procedures in the OASIS 2 ontology
Two-Stage Approach for Brain MR Image Synthesis: 2D Image Synthesis and 3D Refinement
Improving Two-Way Selective Decode-and-forward Wireless Relaying with Energy-Efficient One-bit Soft Forwarding
Geometry-Aware Segmentation of Remote Sensing Images via implicit height estimation
Sizing the length of complex networks
Seq2Seq and Multi-Task Learning for joint intent and content extraction for domain specific interpreters
It All Matters: Reporting Accuracy, Inference Time and Power Consumption for Face Emotion Recognition on Embedded Systems
Rethinking the Diffusion Models for Numerical Tabular Data Imputation from the Perspective of Wasserstein Gradient Flow
AnglE-optimized Text Embeddings
Mixed-Initiative Procedural Content Generation using Level Design Patterns and Interactive Evolutionary Optimisation
Distributed Optimization Methods for Multi-Robot Systems: Part I - A Tutorial
Factorization method for inverse elastic cavity scattering
Tree Embedding in High Dimensions: Dynamic and Massively Parallel
Efficient Feature Selection techniques for Sentiment Analysis
Accuracy Does Not Guarantee Human-Likeness in Monocular Depth Estimators
Leaking Sensitive Financial Accounting Data in Plain Sight using Deep Autoencoder Neural Networks
Loud-loss: A Perceptually Motivated Loss Function for Speech Enhancement Based on Equal-Loudness Contours
Privacy-Preserving Supervisory Control of Discrete-Event Systems via Co-Synthesis of Edit Function and Supervisor for Opacity Enforcement and Requirement Satisfaction
Improving satellite imagery segmentation using multiple Sentinel-2 revisits
Abstractive Query Focused Summarization with Query-Free Resources
Towards a Robust Sensor Fusion Step for 3D Object Detection on Corrupted Data
Mobile node localization in cellular networks
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review
Component Based Solutions Under Architecture
Does Representation Intervention Really Identify Desired Concepts and Elicit Alignment?
Bayesian Modeling of Random Walker for Community Detection in Networks
Improving Audio Event Recognition with Consistency Regularization
Attacks and Defenses in Mobile IP: Modeling with Stochastic Game Petri Net
Optimal approximation of infinite-dimensional holomorphic functions
Reasoning-Style Poisoning of LLM Agents via Stealthy Style Transfer: Process-Level Attacks and Runtime Monitoring in RSV Space
Language change in a multiple group society
Navigating MazeMap: indoor human mobility, spatio-logical ties and future potential
A Survey of Incentives and Mechanism Design for Human Computation Systems
Creation and use of Citations in the ADS
Explainable Biomedical Recommendations via Reinforcement Learning Reasoning on Knowledge Graphs
2D moment invariants from the point of view of the classical invariant theory
Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-temporal Path Proposals
SGD with Partial Hessian for Deep Neural Networks Optimization
On the Impact of Bounded Rationality in Strategic Data Gathering
Beyond Single Images: Retrieval Self-Augmented Unsupervised Camouflaged Object Detection
Optimisation of the coalescent hyperbolic embedding of complex networks
Peirce in the Machine: How Mixture of Experts Models Perform Hypothesis Construction
Deep Reinforcement Learning for Visual Object Tracking in Videos
Elementos da teoria de aprendizagem de máquina supervisionada
Storing and retrieving wavefronts with resistive temporal memory
Distributed and Consistent Multi-Image Feature Matching via QuickMatch
Omni-Emotion: Extending Video MLLM with Detailed Face and Audio Modeling for Multimodal Emotion Analysis
EnriCo: Enriched Representation and Globally Constrained Inference for Entity and Relation Extraction
Estimating the Optimal Number of Clusters in Categorical Data Clustering by Silhouette Coefficient
Science Factionalism: How Group Identity Language Affects Public Engagement with Misinformation and Debunking Narratives on a Popular Q&A Platform in China
Survey of Moving Target Defense in Power Grids: Design Principles, Tradeoffs, and Future Directions
Whisper-MCE: Whisper Model Finetuned for Better Performance with Mixed Languages
An Experimental Validation of Accurate and Precise GNSS Time Synchronization in Vehicular Networks
APRIL: Annotations for Policy evaluation with Reliable Inference from LLMs
Discussion: Latent variable graphical model selection via convex optimization
Low-rank semidefinite programming for the MAX2SAT problem
Gender-based occupational segregation: a bit string approach
Correcting Experience Replay for Multi-Agent Communication
Hindsight Generative Adversarial Imitation Learning
Visual Anomaly Detection Via Partition Memory Bank Module and Error Estimation
Social Network Games with Obligatory Product Selection
A C++ library for Multimodal Deep Learning
Deep learning-based brain segmentation model performance validation with clinical radiotherapy CT
A Hybrid Approach to Word Sense Disambiguation Combining Supervised and Unsupervised Learning
Parsley's Group Size Study
Assessing BERT's Syntactic Abilities
On-chip learning in a conventional silicon MOSFET based Analog Hardware Neural Network
Cycles of Thought: Measuring LLM Confidence through Stable Explanations
Sources identification using shifted non-negative matrix factorization combined with semi-supervised clustering
Bayesian Methods for Multiple Change-Point Detection with Reduced Communication
Reducing Pilots in Channel Estimation With Predictive Foundation Models
Compression in 3D Gaussian Splatting: A Survey of Methods, Trends, and Future Directions
Efficient and Effective Methods for Mixed Precision Neural Network Quantization for Faster, Energy-efficient Inference
Boolean networks synchronism sensitivity and XOR circulant networks convergence time
A quasi-polynomial time approximation scheme for Euclidean capacitated vehicle routing
PMP-Net: Point Cloud Completion by Learning Multi-step Point Moving Paths
Factoring semi-primes with (quantum) SAT-solvers
TransGAT: Transformer-Based Graph Neural Networks for Multi-Dimensional Automated Essay Scoring
Pseudoentanglement Ain't Cheap
ViFi: Virtual Fingerprinting WiFi-based Indoor Positioning via Multi-Wall Multi-Floor Propagation Model
Heavy-tailed distribution of the number of publications within scientific journals
Efficient dynamic modal load reconstruction using physics-informed Gaussian processes based on frequency-sparse Fourier basis functions
Improving Waiting Time of Tasks Scheduled Under Preemptive Round Robin Using Changeable Time Quantum
Operation Embeddings for Neural Architecture Search
Online Vector Bin Packing and Hypergraph Coloring Illuminated: Simpler Proofs and New Connections
Towards Child-Inclusive Clinical Video Understanding for Autism Spectrum Disorder
GRADE: Grover-based Benchmarking Toolkit for Assessing Quantum Hardware
Unraveling the Italian and English Telegram Conspiracy Spheres through Message Forwarding
IJIT: An API for Boolean Program Analysis with Just-in-Time Translation (Extended Technical Report)
Scalable Analysis and Design Using Automatic Differentiation
Attention Via Convolutional Nearest Neighbors
Defining Name Accessibility using Scope Graphs (Extended Edition)
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
Using perceptually defined music features in music information retrieval
Public key cryptography based on skew dihedral group rings
Model Validation of a Low-Speed and Reverse Driving Articulated Vehicle
AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images
Anomaly Detection in Connected and Automated Vehicles using an Augmented State Formulation
Inclined Surface Locomotion Strategies for Spherical Tensegrity Robots
Beyond Supervised Classification: Extreme Minimal Supervision with the Graph 1-Laplacian
Cost-Effective Implementation of Order-Statistics Based Vector Filters Using Minimax Approximations
A Survey of Knowledge Tracing
ShelfNet for Real-time Semantic Segmentation
Edge-isoperimetric inequalities for the symmetric product of graphs
Scaling Bidirectional Spans and Span Violations in Attention Mechanism
Abstract interpretation-based approaches to Security - A Survey on Abstract Non-Interference and its Challenging Applications
Analysis and Performance Comparison of DVB-T and DTMB Systems for Terrestrial Digital TV
Can Facial Uniqueness be Inferred from Impostor Scores?
MAELi - Masked Autoencoder for Large-Scale LiDAR Point Clouds
Planar Visibility Counting
Higher-order topological kernels via quantum computation
The missing link between the output and the $\mathcal H_2$-norm of bilinear systems
Skill Analysis with Time Series Image Data
Ab-initio quantum chemistry with neural-network wavefunctions
Deep Convolutional Neural Networks for Raman Spectrum Recognition: A Unified Solution
Anomaly Detection Models for IoT Time Series Data
Foundation Model for Advancing Healthcare: Challenges, Opportunities, and Future Directions
A Least-Privilege Memory Protection Model for Modern Hardware
A Dynamic Heterogeneous Team-based Non-iterative Approach for Online Pick-up and Just-In-Time Delivery Problems
Absolute Zero: Reinforced Self-play Reasoning with Zero Data
Exploring Artificial Intelligence Methods for Energy Prediction in Healthcare Facilities: An In-Depth Extended Systematic Review
How are exclusively data journals indexed in major scholarly databases? An examination of the Web of Science, Scopus, Dimensions, and OpenAlex
Animated Drag and Drop Interaction for Dynamic Multidimensional Graphs
Phantom: Constraining Generative Artificial Intelligence Models for Practical Domain Specific Peripherals Trace Synthesizing
Model-Based Framework for exploiting sensors of IoT devices using a Botnet: A case study with Android
Predicting the Reproducibility of Social and Behavioral Science Papers Using Supervised Learning Models
AI-Driven Electronic Health Records System for Enhancing Patient Data Management and Diagnostic Support in Egypt
PoseMaster: Generating 3D Characters in Arbitrary Poses from a Single Image
Index Modulation Techniques for 5G Wireless Networks
Accelerating Signal-Temporal-Logic-Based Task and Motion Planning of Bipedal Navigation using Benders Decomposition
Rethinking Multilingual Vision-Language Translation: Dataset, Evaluation, and Adaptation
A Novel Attention-Augmented Wavelet YOLO System for Real-time Brain Vessel Segmentation on Transcranial Color-coded Doppler
Navigating Scaling Laws: Accelerating Vision Transformer's Training via Adaptive Strategies
Assessing the Influence of Toxic and Gender Discriminatory Communication on Perceptible Diversity in OSS Projects
Feasibility of Post-Editing Speech Transcriptions with a Mismatched Crowd
What can linear interpolation of neural network loss landscapes tell us?
I2I-Bench: A Comprehensive Benchmark Suite for Image-to-Image Editing Models
Finding branch-decompositions of matroids, hypergraphs, and more
An Overview of Machine Learning-Enabled Optimization for Reconfigurable Intelligent Surfaces-Aided 6G Networks: From Reinforcement Learning to Large Language Models
Trajectron++: Multi-Agent Generative Trajectory Forecasting With Heterogeneous Data for Control
Can Network Embedding of Distributional Thesaurus be Combined with Word Vectors for Better Representation?
NESTA: Hamming Weight Compression-Based Neural Proc. Engine
A Fourth Wave of Open Data? Exploring the Spectrum of Scenarios for Open Data and Generative AI
Topological bifurcations in a model society of reasonable contrarians
Algorithmic Self-Assembly of DNA Tiles and its Application to Cryptanalysis
An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs
Generalized Principal Component Analysis
Symmetry-driven graph neural networks
On the Minimum Labelling Spanning bi-Connected Subgraph problem
The Shortest Interesting Binary Words
Fake or Genuine? Contextualised Text Representation for Fake Review Detection
Investigating Emotions, Social Roles, Well-being and Mobile Usage Behaviors During COVID-19 Home Confinement
L2R-CIPU: Efficient CNN Computation with Left-to-Right Composite Inner Product Units
WeatherFormer: Empowering Global Numerical Weather Forecasting with Space-Time Transformer
Structured strong linearizations of structured rational matrices
AdaMedGraph: Adaboosting Graph Neural Networks for Personalized Medicine
Density Estimation with Distribution Element Trees
"A network of mutualities of being": socio-material archaeological networks and biological ties at Çatalhöyük
Developing A Personal Decision Support Tool for Hospital Capacity Assessment and Querying
Perceive, Interact, Predict: Learning Dynamic and Static Clues for End-to-End Motion Prediction
Marginal and Conditional Importance Measures from Machine Learning Models and Their Relationship with Conditional Average Treatment Effect
SAGA: A DSL for Story Management
MVSFormer: Multi-View Stereo with Pre-trained Vision Transformers and Temperature-based Depth
What a million Indian farmers say?: A crowdsourcing-based method for pest surveillance
Spontaneous Symmetry Breaking in Interdependent Networked Game
Nonlinear state-space modelling of the kinematics of an oscillating circular cylinder in a fluid flow
Stabilization Techniques for Iterative Algorithms in Compressed Sensing
Multi-scale Attention Guided Pose Transfer
Distributionally Robust Causal Abstractions
Distributional Framework for Emergent Knowledge Acquisition and its Application to Automated Document Annotation
Efficient Likelihood Learning of a Generic CNN-CRF Model for Semantic Segmentation
DeFakePro: Decentralized DeepFake Attacks Detection using ENF Authentication
An Empirical Investigation of the Experiences of Dyslexic Software Engineers
Structure-Guided Processing Path Optimization with Deep Reinforcement Learning
Multi-Dimension Modulation for Image Restoration with Dynamic Controllable Residual Learning
Learning Tensor Latent Features
The method "Model Elimination" of D.W.Loveland explained
In Silico Sociology: Forecasting COVID-19 Polarization with Large Language Models
On Computing Min-Degree Elimination Orderings
Large Graph Models: A Perspective
On the Convergence and generalization of Physics Informed Neural Networks
Cross-Lingual Mental Health Ontologies for Indian Languages: Bridging Patient Expression and Clinical Understanding through Explainable AI and Human-in-the-Loop Validation
Cyber-Physical Queueing-Network Model for Risk Management in Next-Generation Emergency Response Systems
Leveraging Uncertainty from Deep Learning for Trustworthy Materials Discovery Workflows
InfoGCN++: Learning Representation by Predicting the Future for Online Human Skeleton-based Action Recognition
Pre-Release Experimentation in Indie Game Development: An Interview Survey
Computational Complexity of Synchronization under Sparse Regular Constraints
Underrepresentation, Label Bias, and Proxies: Towards Data Bias Profiles for the EU AI Act and Beyond
Parameter estimation tools for cardiovascular flow modeling of fetal circulation
Prediction of MRI Hardware Failures based on Image Features using Ensemble Learning
Verifiable Manufacturing Using Blockchain
UAST: Unicode Aware Sanskrit Transliteration
Efficient Construction, Update and Downdate Of The Coefficients Of Interpolants Based On Polynomials Satisfying A Three-Term Recurrence Relation
Egocentric Vision Language Planning
Fingerprint Spoof Buster
Single-level Optimization For Differential Architecture Search
Improving Human Decisions by Adjusting the Alerting Thresholds for Computer Alerting Tools According to User and Task Characteristics
Diffusion Brush: A Latent Diffusion Model-based Editing Tool for AI-generated Images
VVS: Accelerating Speculative Decoding for Visual Autoregressive Generation via Partial Verification Skipping
Metamorphs: Bistable Planar Structures
Composing or Not Composing? Towards Distributional Construction Grammars
HDM: Hybrid Diffusion Model for Unified Image Anomaly Detection
Automated interictal epileptic spike detection from simple and noisy annotations in MEG data
Robust quantum dots charge autotuning using neural networks uncertainty
A critical review of the proposed reforms of the academic performance indicators applied in the assessment of researchers' performance in Hungary
The impatient collector
Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking
Reinforcement Learning for Efficient Returns Management
Probability of Differentiation Reveals Brittleness of Homogeneity Bias in Large Language Models
Block-wise LoRA: Revisiting Fine-grained LoRA for Effective Personalization and Stylization in Text-to-Image Generation
HSLiNets: Hyperspectral Image and LiDAR Data Fusion Using Efficient Dual Non-Linear Feature Learning Networks
On Fairness, Diversity and Randomness in Algorithmic Decision Making
Further Results on Coding for Reliable Communication over Packet Networks
Category-free Out-of-Distribution Node Detection with Feature Resonance
Validating Deep-Learning Weather Forecast Models on Recent High-Impact Extreme Events
A Non-structural Representation Scheme for Articulated Shapes
Robot Pouring: Identifying Causes of Spillage and Selecting Alternative Action Parameters Using Probabilistic Actual Causation
The optimal relaxation parameter for the SOR method applied to the Poisson equation on rectangular grids with different types of boundary conditions
Knowledge distillation for semi-supervised domain adaptation
Price-based Controller for Quality-Fair HTTP Adaptive Streaming (Extended Version)
Facilitating Multi-Role and Multi-Behavior Collaboration of Large Language Models for Online Job Seeking and Recruiting
From Mutual Information to Expected Dynamics: New Generalization Bounds for Heavy-Tailed SGD
NeuPerm: Disrupting Malware Hidden in Neural Network Parameters by Leveraging Permutation Symmetry
Using mobile agent results to create hard-to-detect computer viruses
Stochastic parameter reduced-order model based on hybrid machine learning approaches
ClassiFIM: An Unsupervised Method To Detect Phase Transitions
Efficient non-conjugate Gaussian process factor models for spike count data using polynomial approximations
Unleashing the Power of Vision-Language Models for Long-Tailed Multi-Label Visual Recognition
New lower order mixed finite element methods for linear elasticity
Knowledge distillation with error-correcting transfer learning for wind power prediction
Agnostic Domain Generalization
Dependently Typed Programming based on Automated Theorem Proving
Safety challenges of AI in medicine
A Question of Context: Enhancing Intrusion Detection by Providing Context Information
Multi-scale Iterative Refinement towards Robust and Versatile Molecular Docking
Adaptive Encoding for Constrained Video Delivery in HEVC, VP9, AV1 and VVC Compression Standards and Adaptation to Video Content
Improved Gradient-Based Optimization Over Discrete Distributions
Delta Activations: A Representation for Finetuned Large Language Models
On the Energy Consumption of Different Dataframe Processing Libraries - An Exploratory Study
Safety Mirage: How Spurious Correlations Undermine VLM Safety Fine-tuning
BIRNet: Brain Image Registration Using Dual-Supervised Fully Convolutional Networks
DiaNet: BERT and Hierarchical Attention Multi-Task Learning of Fine-Grained Dialect
SAPIEN: Affective Virtual Agents Powered by Large Language Models
Garbage In, Reasoning Out? Why Benchmark Scores are Unreliable and What to Do About It
Generative AI in Higher Education: A Global Perspective of Institutional Adoption Policies and Guidelines
An Extension of Averaged-Operator-Based Algorithms
Wireless Video Semantic Communication with Decoupled Diffusion Multi-frame Compensation
Evolutionary Computation Algorithms for Cryptanalysis: A Study
Statistical Hypothesis Testing for Class-Conditional Label Noise
FSNet: Feasibility-Seeking Neural Network for Constrained Optimization with Guarantees
ColonFormer: An Efficient Transformer based Method for Colon Polyp Segmentation
Complexity in Prefix-Free Regular Languages
QSAN: A Near-term Achievable Quantum Self-Attention Network
Approximating pathwidth for graphs of small treewidth
Integration of 3D Object Recognition and Planning for Robotic Manipulation: A Preliminary Report
Comparative Analysis of Hyperspectral Image Reconstruction Using Deep Learning for Agricultural and Biological Applications
Automated Design of Torus Networks
Experimental reservoir computing with diffractively coupled VCSELs
SentimentArcs: A Novel Method for Self-Supervised Sentiment Analysis of Time Series Shows SOTA Transformers Can Struggle Finding Narrative Arcs
Towards A Deeper Geometric, Analytic and Algorithmic Understanding of Margins
On the Degrees of freedom of the K-user MISO Interference Channel with imperfect delayed CSIT
Local Finite Element Approximation of Sobolev Differential Forms
When Pre-trained Visual Representations Fall Short: Limitations in Visuo-Motor Robot Learning
Graph Coloring for Multi-Task Learning
Pavementscapes: a large-scale hierarchical image dataset for asphalt pavement damage segmentation
The Influence of Social Networks on Human Society
Combining Embedding-Based and Semantic-Based Models for Post-hoc Explanations in Recommender Systems
ThermalSim: A Thermal Simulator for Error Analysis
Speech Enhancement for Virtual Meetings on Cellular Networks
The Characterization of Abstract Truth and its Factorization
A Novel Approach for Optimal Trajectory Design with Multiple Operation Modes of Propulsion System, Part 2
An Experiment on Leveraging SHAP Values to Investigate Racial Bias
gpuPairHMM: High-speed Pair-HMM Forward Algorithm for DNA Variant Calling on GPUs
Overcoming Knowledge Barriers: Online Imitation Learning from Observation with Pretrained World Models
Scale-aware Fast R-CNN for Pedestrian Detection
Safe Adaptive Control for Uncertain Systems with Complex Input Constraints
All That Glitters Is Not Gold: Towards Process Discovery Techniques with Guarantees
Towards Transparent and Accurate Plasma State Monitoring at JET
Phase Vocoder Done Right
Safe LLM-Controlled Robots with Formal Guarantees via Reachability Analysis
Disentangled Counterfactual Reasoning for Unbiased Sequential Recommendation
Reinforcement learning of minimalist grammars
Non-monotone DR-Submodular Function Maximization
On Caching with More Users than Files
Supervised Contrastive Regression
Turning the Spell Around: Lightweight Alignment Amplification via Rank-One Safety Injection
Self-Replicating Hierarchical Structures Emerge in a Binary Cellular Automaton
Runlength-Limited Sequences and Shift-Correcting Codes
Optimal k-thresholding algorithms for sparse optimization problems
Stochastic Variational Inference with Tuneable Stochastic Annealing
GeoGramBench: Benchmarking the Geometric Program Reasoning in Modern LLMs
Learning unification-based grammars using the Spoken English Corpus
Repairing Activity Start Times to Improve Business Process Simulation