yusuke1997/dblp-id-title huggingface dataset:
Non Local Spatial and Angular Matching : Enabling higher spatial resolution diffusion MRI datasets through adaptive denoising
Autonomous Interference Mapping for Industrial IoT Networks over Unlicensed Bands
An Attention-Augmented VAE-BiLSTM Framework for Anomaly Detection in 12-Lead ECG Signals
Analysis and Improvement of Low Rank Representation for Subspace segmentation
A MultiModal Social Robot Toward Personalized Emotion Interaction
Desbordante: from benchmarking suite to high-performance science-intensive data profiler (preprint)
Invariant games and non-homogeneous Beatty sequences
Projected Newton method for large-scale Bayesian linear inverse problems
On the geometry of border rank algorithms for n x 2 by 2 x 2 matrix multiplication
Blockchain-based TLS Notary Service
Seamless acceleration of Fortran intrinsics via AMD AI engines
On the monotonicity of Q 2 spectral element method for Laplacian on quasi-uniform rectangular meshes
Asset management, condition monitoring and Digital Twins: damage detection and virtual inspection on a reinforced concrete bridge
Dimension Reduction by Mutual Information Feature Extraction
Bounding the Fat Shattering Dimension of a Composition Function Class Built Using a Continuous Logic Connective
Structural Connectome Harmonization Using Deep Learning: The Strength of Graph Neural Networks
A Multiple Kernel Learning Approach for Human Behavioral Task Classification using STN-LFP Signal
ForensicsSAM: Toward Robust and Unified Image Forgery Detection and Localization Resisting to Adversarial Attack
On the Evolution of Subjective Experience
Appropriate Causal Models and the Stability of Causation
Masked Face Inpainting Through Residual Attention UNet
Mobile recommender systems: An overview of technologies and challenges
Dissipativity-based static output feedback design for discrete-time LTI systems with time-varying input delays
Enumerating Regular Languages in Constant Delay
Simple ROI untuk justifikasi investasi proyek Data Warehouse pada perguruan tinggi swasta
Detecting Out-of-Distribution Inputs to Deep Generative Models Using a Test for Typicality
A Network Simulation of OTC Markets with Multiple Agents
TransAdapter: Vision Transformer for Feature-Centric Unsupervised Domain Adaptation
On Large Language Models in National Security Applications
Link overlap, viability, and mutual percolation in multiplex networks
State Observation of LTV Systems with Delayed Measurements: A Parameter Estimation-based Approach
RTVis: Research Trend Visualization Toolkit
Self-consumption for energy communities in Spain: a regional analysis under the new legal framework
The Cyborg Astrobiologist: Scouting Red Beds for Uncommon Features with Geological Significance
PruneHal: Reducing Hallucinations in Multi-modal Large Language Models through Adaptive KV Cache Pruning
Inventions on expressing emotions In Graphical User Interface
Deep Crisp Boundaries: From Boundaries to Higher-level Tasks
Data-aware Dynamic Execution of Irregular Workloads on Heterogeneous Systems
Transformer-based Entity Legal Form Classification
Design of Fieldable Cross-Layer Optimized Network using Embedded Software Defined Radios: Survey and Novel Architecture with Field Trials
Consensus on Moving Neighborhood Model of Peterson Graph
Saliency-guided Adaptive Seeding for Supervoxel Segmentation
Scientific Collaboratories as Socio-Technical Interaction Networks: A Theoretical Approach
Learning to score and summarize figure skating sport videos
Bayesian Treatment of Incomplete Discrete Data applied to Mutual Information and Feature Selection
Predict Moves
Citizen science for social physics: Digital tools and participation
Temporal Expressions in Japanese-to-English Machine Translation
Distributed and Secure ML with Self-tallying Multi-party Aggregation
Bitcoin Security under Temporary Dishonest Majority
A Parallel Elicitation-Free Protocol for Allocating Indivisible Goods
Deterministic Memory Abstraction and Supporting Cache Architecture for Real-Time Systems
Efficient numerical valuation of European options under the two-asset Kou jump-diffusion model
A Sharded Blockchain-Based Secure Federated Learning Framework for LEO Satellite Networks
Deterministic Decoupling of Global Features and its Application to Data Analysis
A speech-based driver assisting module for Intelligent Transport System
A generalized motif-based Naïve Bayes model for sign prediction in complex networks
Deep learning-based auto-segmentation of paraganglioma for growth monitoring
Training Feedforward Neural Networks with Standard Logistic Activations is Feasible
InfiniteYou: Flexible Photo Recrafting While Preserving Your Identity
Lifelong Bayesian Optimization
ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral Tomography
Using Traceless Genetic Programming for Solving Multiobjective Optimization Problems
Quantifying Information Overload in Social Media and its Impact on Social Contagions
Fault Induced Delayed Voltage Recovery in a Long Inhomogeneous Power Distribution Feeder
Multilingual Augmenter: The Model Chooses
Cellular-Base-Station Assisted Device-to-Device Communications in TV White Space
Differentially Private Federated Variational Inference
Infinite Stream Estimation under Personalized w -Event Privacy
Learning to Predict More Accurate Text Instances for Scene Text Detection
On the tensor nuclear norm and the total variation regularization for image and video completion
A Flexible Structured-based Representation for XML Document Mining
Assessing Fatigue with Multimodal Wearable Sensors and Machine Learning
Robust estimation of tree structured models
Enforcing contraction via data
Is Registering Raw Tagged-MR Enough for Strain Estimation in the Era of Deep Learning?
Robot Cooking with Stir-fry: Bimanual Non-prehensile Manipulation of Semi-fluid Objects
Remarks on Inheritance Systems
Complete Dictionary Recovery over the Sphere
Physics-Aware Combinatorial Assembly Planning using Deep Reinforcement Learning
Rethinking Anticipation Tasks: Uncertainty-aware Anticipation of Sparse Surgical Instrument Usage for Context-aware Assistance
On sample complexity of neural networks
General 2-path Problem
Unsupervised Learning for Intrinsic Image Decomposition from a Single Image
Proof-relevant pi-calculus
Polar-like Codes and Asymptotic Tradeoff among Block Length, Code Rate, and Error Probability
First observations of the seiche that shook the world
Change Point Detection in Nonstationary Sub-Hourly Wind Time Series
GLane3D : Detecting Lanes with Graph of 3D Keypoints
A data-driven approach to beating SAA out-of-sample
CyberGym: Evaluating AI Agents' Cybersecurity Capabilities with Real-World Vulnerabilities at Scale
Trends toward real-time network data steganography
End-to-End Optimized Image Compression with the Frequency-Oriented Transform
Designing MPC controllers by reverse-engineering existing LTI controllers
Smooth Trade-off for Tensor PCA via Sharp Bounds for Kikuchi Matrices
Characterising Volunteers' Task Execution Patterns Across Projects on Multi-Project Citizen Science Platforms
Decomposing lexical and compositional syntax and semantics with deep language models
An adaptive Levin method for complicated domains
Online Optimization with Costly and Noisy Measurements using Random Fourier Expansions
Energy Efficiency in Robotics Software: A Systematic Literature Review (2020-2024)
Why it is worth making an effort with GenAI
Effects of Channel Aging in Massive MIMO Systems
Changing almost perfect nonlinear functions on affine subspaces of small codimensions
On the regularity of the Hankel determinant sequence of the characteristic sequence of powers
Stability and Equilibrium Analysis of Laneless Traffic with Local Control Laws
Learned Inertial Odometry for Cycling Based on Mixture of Experts Algorithm
Failure Prediction from Limited Hardware Demonstrations
High-Dimensional Non-Linear Variable Selection through Hierarchical Kernel Learning
LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements
MUREN: delivering edge services in joint SDN-SDR multi-radio nodes
Analysis of Scheduling schemes based on Carrier Aggregation in LTE-Advanced and their improvement
Geometric Insights into Focal Loss: Reducing Curvature for Enhanced Model Calibration
MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation
Scale-free Protocol Design for Output and Regulated Output Synchronization of Heterogeneous Multi-agent Systems
Partially Connected Automated Vehicle Cooperative Control Strategy with a Deep Reinforcement Learning Approach
Tree Decomposition Attention for AMR-to-Text Generation
Assessing reliable human mobility patterns from higher-order memory in mobile communications
Algorithms the min-max regret 0-1 Integer Linear Programming Problem with Interval Data
Shallow Encoder Deep Decoder (SEDD) Networks for Image Encryption and Decryption
OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation
Improving Image Coding for Machines through Optimizing Encoder via Auxiliary Loss
Development of the Lifelike Head Unit for a Humanoid Cybernetic Avatar 'Yui' and Its Operation Interface
Quality Sensitive Price Competition in Spectrum Oligopoly
Cache-aided Interference Management using Hypercube Combinatorial Cache Design with Reduced Subpacketizations and Order Optimal Sum-Degrees of Freedom
Lie to Me: Knowledge Graphs for Robust Hallucination Self-Detection in LLMs
Classifying Vietnamese Disease Outbreak Reports with Important Sentences and Rich Features
Dynamic Tsetlin Machine Accelerators for On-Chip Training at the Edge using FPGAs
Best Ergodic Averages via Optimal Graph Filters in Reversible Markov Chains
Deep Learning for VWAP Execution in Crypto Markets: Beyond the Volume Curve
Visual Entailment Task for Visually-Grounded Language Learning
Abelian Neural Networks
Automated Creativity Evaluation for Large Language Models: A Reference-Based Approach
Non-wellfounded trees in Homotopy Type Theory
Stochastic Unit Commitment in Electricity-Gas Coupled Integrated Energy Systems based on Modified Progressive Hedging
Knowledge Base-Aware Orchestration: A Dynamic, Privacy-Preserving Method for Multi-Agent Systems
Understanding and Classifying Cultural Music Using Melodic Features Case Of Hindustani, Carnatic And Turkish Music
Interval Predictability in Discrete Event Systems
Decentralized WebRCT P2P network using Kademlia
Towards Inference-time Scaling for Continuous Space Reasoning
A framework for a modular multi-concept lexicographic closure semantics
Enhancing QOS and QOE in IMS enabled next generation networks
Eigengestures for natural human computer interface
WeightMom: Learning Sparse Networks using Iterative Momentum-based pruning
Orthogonality for Quantum Latin Isometry Squares
On the tightness of Tietäväinen's bound for distributions with limited independence
A Compression Based Classification Framework Using Symbolic Dynamics of Chaotic Maps
Evaluation of Speaker Anonymization on Emotional Speech
Convergence Rates of Posterior Distributions in Markov Decision Process
CRISIS ALERT: Forecasting Stock Market Crisis Events Using Machine Learning Methods
Truly shift-invariant convolutional neural networks
Proceedings of the Workshop on High Performance Energy Efficient Embedded Systems (HIP3ES) 2019
Analyzing the Reduced Required BS Density due to CoMP in Cellular Networks
Bottom-Left Placement Theorem for Rectangle Packing
Coding for Arbitrarily Varying Remote Sources
Representing Visualization Insights as a Dense Insight Network
HybridProver: Augmenting Theorem Proving with LLM-Driven Proof Synthesis and Refinement
Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge
Mitigating multiple descents: A model-agnostic framework for risk monotonization
On The Performance of Random Block Codes over Finite-State Fading Channels
EgoThinker: Unveiling Egocentric Reasoning with Spatio-Temporal CoT
(Ir)rationality in AI: State of the Art, Research Challenges and Open Questions
QLens: Visual Analytics of Multi-step Problem-solving Behaviors for Improving Question Design
A d-dimensional extension of Christoffel words
Temporal-Needle: A view and appearance invariant video descriptor
Structural Balance via Gradient Flows over Signed Graphs
Generalized Bayesian Ensemble Survival Tree (GBEST) model
Taylorformer: Probabilistic Predictions for Time Series and other Processes
From heaps of matches to the limits of computability
MLMC: Interactive multi-label multi-classifier evaluation without confusion matrices
Fast Selective Flushing to Mitigate Contention-based Cache Timing Attacks
The Lovelace 2.0 Test of Artificial Creativity and Intelligence
Maximizing Audio Event Detection Model Performance on Small Datasets Through Knowledge Transfer, Data Augmentation, And Pretraining: An Ablation Study
An SLO Driven and Cost-Aware Autoscaling Framework for Kubernetes
Wasserstein distance based semi-supervised manifold learning and application to GNSS multi-path detection
Evaluating Impact of Human Errors on the Availability of Data Storage Systems
Markerless Motion Capture in the Crowd
Avoiding The Double Descent Phenomenon of Random Feature Models Using Hybrid Regularization
Guiding vector fields for the distributed motion coordination of mobile robots
PureSample: Neural Materials Learned by Sampling Microgeometry
Learning Decision Trees with Gradient Descent
Systematic Generalization and Emergent Structures in Transformers Trained on Structured Tasks
ER2Score: LLM-based Explainable and Customizable Metric for Assessing Radiology Reports with Reward-Control Loss
Does Gaming Help Improve Cognitive Skills?
Machine Learning Aided Anonymization of Spatiotemporal Trajectory Datasets
A translational pathway of deep learning methods in GastroIntestinal Endoscopy
BEVStereo++: Accurate Depth Estimation in Multi-view 3D Object Detection via Dynamic Temporal Stereo
POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS)
Comparing Retrieval Strategies to Capture Interdisciplinary Scientific Research: A Bibliometric Evaluation of the Integration of Neuroscience and Computer Science
FLAG: Fast Linearly-Coupled Adaptive Gradient Method
Initial Explorations of ARM Processors for Scientific Computing
Leveraging Large Language Models for Hybrid Workplace Decision Support
ABCD: Automatic Blood Cell Detection via Attention-Guided Improved YOLOX
How to Maximize the Spread of Social Influence: A Survey
Infusing Environmental Captions for Long-Form Video Language Grounding
Learning from Less: Guiding Deep Reinforcement Learning with Differentiable Symbolic Planning
Improving Open-Set Semantic Segmentation in 3D Point Clouds by Conditional Channel Capacity Maximization: Preliminary Results
Enhancing Hepatopathy Clinical Trial Efficiency: A Secure, Large Language Model-Powered Pre-Screening Pipeline
Cyber Campaign Fractals - Geometric Analysis of Hierarchical Cyber Attack Taxonomies
Learning Landmarks from Unaligned Data using Image Translation
A Rely-Guarantee Specification of Mixed-Criticality Scheduling
Combining nondeterminism, probability, and termination: equational and metric reasoning
A Fast Hierarchical Method for Multi-script and Arbitrary Oriented Scene Text Extraction
Synthetic Voice Data for Automatic Speech Recognition in African Languages
Confirmatory Aspect-based Opinion Mining Processes
Integrated Access and Backhaul in Cell-free Massive MIMO Systems
A Case Study on the Impact of Similarity Measure on Information Retrieval based Software Engineering Tasks
Fast Parallel Exact Inference on Bayesian Networks: Poster
schlably: A Python Framework for Deep Reinforcement Learning Based Scheduling Experiments
Enhanced Ground-Satellite Direct Access via Onboard Rydberg Atomic Quantum Receivers
Entropy region and convolution
Understanding the Implicit User Intention via Reasoning with Large Language Model for Image Editing
ILP-based Alleviation of Dense Meander Segments with Prioritized Shifting and Progressive Fixing in PCB Routing
A Framework for Quasi Time-Optimal Nonlinear Model Predictive Control with Soft Constraints
MNIST Dataset Classification Utilizing k-NN Classifier with Modified Sliding Window Metric
Evaluating Echo State Network for Parkinson's Disease Prediction using Voice Features
Simple set cardinality estimation through random sampling
Distributed firewalls and IDS interoperability checking based on a formal approach
Real Differences between OT and CRDT in Building Co-Editing Systems and Real World Applications
Capturing Stable HDR Videos Using a Dual-Camera System
Nonlinear Distortion Equalization in Multi-Span Optical Links Via a Feed-Forward Photonic Neural Network
ElectionRumors2022: A Dataset of Election Rumors on Twitter During the 2022 US Midterms
Cahn-Hilliard inpainting with the double obstacle potential
Contrastive Principal Component Learning: Modeling Similarity by Augmentation Overlap
A Benchmark of Video-Based Clothes-Changing Person Re-Identification
End-to-End Zero-Shot Voice Style Transfer with Location-Variable Convolutions
Analysis of system capacity and spectral efficiency of fixed-grid network
On Optimizing Shared-ride Mobility Services with Walking Legs
Turning Big data into tiny data: Constant-size coresets for k-means, PCA and projective clustering
Visuomotor Grasping with World Models for Surgical Robots
A Secure Electronic Prescription System Using Steganography with Encryption Key Implementation
Robust Deep Reinforcement Learning for Inverter-based Volt-Var Control in Partially Observable Distribution Networks
SCARR: A Novel Scalable Runtime Remote Attestation
Teaching a Machine to Diagnose a Heart Disease; Beginning from digitizing scanned ECGs to detecting the Brugada Syndrome (BrS)
Captions Speak Louder than Images (CASLIE): Generalizing Foundation Models for E-commerce from High-quality Multimodal Instruction Data
POTSA: A Cross-Lingual Speech Alignment Framework for Low Resource Speech-to-Text Translation
SAC Flow: Sample-Efficient Reinforcement Learning of Flow-Based Policies via Velocity-Reparameterized Sequential Modeling
A Mathematical Account of Soft Evidence, and of Jeffrey's 'destructive' versus Pearl's 'constructive' updating
BCS-Net: Boundary, Context and Semantic for Automatic COVID-19 Lung Infection Segmentation from CT Images
XML Multidimensional Modelling and Querying
Intelligent Traffic Monitoring with Hybrid AI
Learning Sparsity-Promoting Regularizers using Bilevel Optimization
Multi-Armed Bandits with Minimum Aggregated Revenue Constraints
Reinforcement Based Learning on Classification Task Could Yield Better Generalization and Adversarial Accuracy
The Daily Life of Software Engineers during the COVID-19 Pandemic
A Backtracking-Based Algorithm for Computing Hypertree-Decompositions
Advancing Hearing Assessment: An ASR-Based Frequency-Specific Speech Test for Diagnosing Presbycusis
Efficient Clustering on Riemannian Manifolds: A Kernelised Random Projection Approach
One Size Fits None: Rethinking Fairness in Medical AI
Exploring Narrative Economics: An Agent-Based-Modeling Platform that Integrates Automated Traders with Opinion Dynamics
Aggressive Trajectory Tracking for Nano Quadrotors Using Embedded Nonlinear Model Predictive Control
On Discrete Ambiguity Functions of Random Communication Waveforms
Parallel-in-Time Solutions with Random Projection Neural Networks
One-shot purity distillation with local noisy operations and one-way classical communication
DAM-Net: Global Flood Detection from SAR Imagery Using Differential Attention Metric-Based Vision Transformers
Hypergraph Pre-training with Graph Neural Networks
Masked Siamese ConvNets
Music Similarity Calculation of Individual Instrumental Sounds Using Metric Learning
Decentralized Caching Attains Order-Optimal Memory-Rate Tradeoff
Accelerating solutions of PDEs with GPU-based swept time-space decomposition
Towards Efficient Neural Networks On-a-chip: Joint Hardware-Algorithm Approaches
TurkishBERTweet: Fast and Reliable Large Language Model for Social Media Analysis
An Efficient Anchor-free Universal Lesion Detection in CT-scans
Self-organisation in cellular automata with coalescent particles: Qualitative and quantitative approaches
ZIA: A Theoretical Framework for Zero-Input AI
Predictive posterior sampling from non-stationnary Gaussian process priors via Diffusion models with application to climate data
Malware Analysis on AI Technique
Learning Audio Representations with MLPs
Conditioning Generative Latent Optimization to solve Imaging Inverse Problems
Evaluating Input Representation for Language Identification in Hindi-English Code Mixed Text
MambaJSCC: Adaptive Deep Joint Source-Channel Coding with Generalized State Space Model
Estimating Correctness Without Oracles in LLM-Based Code Generation
Diversity and Inclusion in AI for Recruitment: Lessons from Industry Workshop
Federated Alternate Training (FAT): Leveraging Unannotated Data Silos in Federated Segmentation for Medical Imaging
LiDARNet: A Boundary-Aware Domain Adaptation Model for Lidar Point Cloud Semantic Segmentation
The Detection of Distributional Discrepancy for Text Generation
Generative Perception of Shape and Material from Differential Motion
Time-variant Nonlinear Participation Factors Considering Resonances in Power Systems
Towards the Infeasibility of Membership Inference on Deep Models
Multi-Instrumentalist Net: Unsupervised Generation of Music from Body Movements
Layer-Stack Temperature Scaling
Refinement for Transition Systems with Responses
Über die Anwendung des Tschebyschew-Verfahrens zum Ausbau des Weierstraß-Kerner-Verfahrens
An Examination of the Benefits of Scalable TTI for Heterogeneous Traffic Management in 5G Networks
Localisation of directional scale-discretised wavelets on the sphere
Decoding Machine Translationese in English-Chinese News: LLMs vs. NMTs
Vahana.jl - A framework (not only) for large-scale agent-based models
Self-supervised and Weakly Supervised Contrastive Learning for Frame-wise Action Representations
SocChain: Blockchain with Swift Proportional Governance for Bribery Mitigation
Do We Need a Detailed Rubric for Automated Essay Scoring using Large Language Models?
Object Detection using Domain Randomization and Generative Adversarial Refinement of Synthetic Images
Minimax Rates for Homology Inference
Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning
Straddling Two Platforms: From Twitter to Mastodon, an Analysis of the Evolution of an Unfinished Social Media Migration
Assisted Video Sequences Indexing : Motion Analysis Based on Interest Points
Kernel Neural Operators (KNOs) for Scalable, Memory-efficient, Geometrically-flexible Operator Learning
Improving the Generalization of End-to-End Driving through Procedural Generation
Performance comparison of an AI-based Adaptive Learning System in China
Exploring Emotions in EEG: Deep Learning Approach with Feature Fusion
Unsupervised Deep Learning of Incompressible Fluid Dynamics
An Overview of Uncertain Control Co-Design Formulations
Adaptive model reduction and state estimation of agro-hydrological systems
Towards Communication-efficient and Attack-Resistant Federated Edge Learning for Industrial Internet of Things
Object-Focus Actor for Data-efficient Robot Generalization Dexterous Manipulation
A Coxeter type classification of Dynkin type A n non-negative posets
Think before you collect: Setting up a data collection approach for social media studies
Anomaly Detection of Defect using Energy of Point Pattern Features within Random Finite Set Framework
Early Hospital Mortality Prediction using Vital Signals
Privacy-preserving Double Auction Mechanism Based on Homomorphic Encryption and Sorting Networks
Online 3-Taxi on General Metrics
Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models
Minimum Power to Maintain a Nonequilibrium Distribution of a Markov Chain
Thread Progress Equalization: Dynamically Adaptive Power and Performance Optimization of Multi-threaded Applications
One-class classifiers based on entropic spanning graphs
Reinforcement Learning based Cyberattack Model for Adaptive Traffic Signal Controller in Connected Transportation Systems
Fast and Accurate Extrinsic Calibration for Multiple LiDARs and Cameras