yusuke1997/dblp-id-title huggingface dataset:
SUNDIALS Time Integrators for Exascale Applications with Many Independent ODE Systems
ACRR: Ad Hoc On-Demand Distance Vector Routing with Controlled Route Requests
A Meta-level Analysis of Online Anomaly Detectors
Interact, Instruct to Improve: A LLM-Driven Parallel Actor-Reasoner Framework for Enhancing Autonomous Vehicle Interactions
FLAASH: Flow-Attention Adaptive Semantic Hierarchical Fusion for Multi-Modal Tobacco Content Analysis
From Cells to Islands: An unified Model of Cellular Parallel Genetic Algorithms
Learning 3D Granular Flow Simulations
From Finite Automata to Regular Expressions and Back-A Summary on Descriptional Complexity
High-Level Event Mining: Overview and Future Work
Unconditionally stable, linearised IMEX schemes for incompressible flows with variable density
Exclusivity Regularized Machine
A Role-Based Approach for Orchestrating Emergent Configurations in the Internet of Things
Localization and Mapping of Sparse Geologic Features with Unpiloted Aircraft Systems
AGFormer: Efficient Graph Representation with Anchor-Graph Transformer
Communication-Computation Efficient Secure Aggregation for Federated Learning
Crowdsourcing for Usability Testing
Conditional Markov Chain Search for the Simple Plant Location Problem improves upper bounds on twelve Körkel-Ghosh instances
Bornon: Bengali Image Captioning with Transformer-based Deep learning approach
French Word Recognition through a Quick Survey on Recurrent Neural Networks Using Long-Short Term Memory RNN-LSTM
Investigating Cultural Aspects in the Fundamental Diagram using Convolutional Neural Networks and Simulation
QueST: Querying Functional and Structural Niches on Spatial Transcriptomics Data via Contrastive Subgraph Embedding
The virtual element method for linear elastodynamics models. Design, analysis, and implementation
Designing Applications in a Hybrid Cloud
Open-Vocabulary Mobile Manipulation Based on Double Relaxed Contrastive Learning with Dense Labeling
Understanding scholarly Natural Language Processing system diagrams through application of the Richards-Engelhardt framework
Zeta expansion for long-range interactions under periodic boundary conditions with applications to micromagnetics
Uniform Labeled Transition Systems for Nondeterministic, Probabilistic, and Stochastic Process Calculi
Hybrid bundle-adjusting 3D Gaussians for view consistent rendering with pose optimization
GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays
Python Non-Uniform Fast Fourier Transform (PyNUFFT): multi-dimensional non-Cartesian image reconstruction package for heterogeneous platforms and applications to MRI
Modelship Attribution: Tracing Multi-Stage Manipulations Across Generative Models
Multidimensional deconvolution with shared bases
Finding Differentially Covarying Needles in a Temporally Evolving Haystack: A Scan Statistics Perspective
Rate-Optimal Rank Aggregation with Private Pairwise Rankings
Thinging Ethics for Software Engineers
PersonaTeaming: Exploring How Introducing Personas Can Improve Automated AI Red-Teaming
Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI and Ultrasound
On the Security Bootstrapping in Named Data Networking
Stochastic Observer for SLAM on the Lie Group
Auto-ReID: Searching for a Part-aware ConvNet for Person Re-Identification
Data Collection through Vehicular Sensor Networks
Basis for Intentions: Efficient Inverse Reinforcement Learning using Past Experience
The landscape of Collective Awareness in multi-robot systems
Predictive Ensemble Learning with Application to Scene Text Detection
A Distributed Hybrid Quantum Convolutional Neural Network for Medical Image Classification
An Action Recognition network for specific target based on rMC and RPN
Optimal k-fold colorings of webs and antiwebs
Least and greatest fixed points in linear logic
ETHOS: A Robotic Encountered-Type Haptic Display for Social Interaction in Virtual Reality
Dual-Parameterized Quantum Circuit GAN Model in High Energy Physics
Census-Independent Population Estimation using Representation Learning
ADEPOS: A Novel Approximate Computing Framework for Anomaly Detection Systems and its Implementation in 65nm CMOS
Pulse width modulation technique with harmonic injection in the modulating wave and discontinuous frequency modulation for the carrier wave to reduce vibrations in asynchronous machines
Dubbing for Everyone: Data-Efficient Visual Dubbing using Neural Rendering Priors
Resilience-Oriented DG Siting and Sizing Considering Energy Equity Constraint
Mining Robust Default Configurations for Resource-constrained AutoML
Watching Grass Grow: Long-term Visual Navigation and Mission Planning for Autonomous Biodiversity Monitoring
A Novel Optimal Modulation Strategy for Modular Multilevel Converter Based HVDC Systems
Label noise detection under the Noise at Random model with ensemble filters
Improving both domain robustness and domain adaptability in machine translation
A Novel Genetic Algorithm with Hierarchical Evaluation Strategy for Hyperparameter Optimisation of Graph Neural Networks
Using nodal coordinates as variables for the dimensional synthesis of mechanisms
Model Generalization on Text Attribute Graphs: Principles with Large Language Models
Computation of Optimal Control Problems with Terminal Constraint via Modified Evolution Partial Differential Equation
Device-friendly Guava fruit and leaf disease detection using deep learning
Investigating the Timescales of Language Processing with EEG and Language Models
Learnable Model-Driven Performance Prediction and Optimization for Imperfect MIMO System: Framework and Application
IoT Firmware Version Identification Using Transfer Learning with Twin Neural Networks
A Comparative Study on the Impact of Test-Driven Development (TDD) and Behavior-Driven Development (BDD) on Enterprise Software Delivery Effectiveness
The Topological and Logical Structure of Concurrency and Dependency via Distributive Lattices
UniAIDet: A Unified and Universal Benchmark for AI-Generated Image Content Detection and Localization
Timely Updates over an Erasure Channel
Keyed Chaotic Masking: A Functional Privacy Framework for Neural Inference
Simple Semi-supervised Knowledge Distillation from Vision-Language Models via D ual- H ead O ptimization
The world seems different in a social context: a neural network analysis of human experimental data
Steering Vision-Language-Action Models as Anti-Exploration: A Test-Time Scaling Approach
CoDet: Co-Occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection
TinyGC-Net: An Extremely Tiny Network for Calibrating MEMS Gyroscopes
Improving Search by Utilizing State Information in OPTIC Planners Compilation to LP
Recall-Extend Dynamics: Enhancing Small Language Models through Controlled Exploration and Refined Offline Integration
Empowering Prosumers: Incentive Design for Local Electricity Markets Under Generalized Uncertainty and Grid Constraints
FedDyMem: Efficient Federated Learning with Dynamic Memory and Memory-Reduce for Unsupervised Image Anomaly Detection
On Learning Where To Look
SPECTRE: A Hybrid System for an Adaptative and Optimised Cyber Threats Detection, Response and Investigation in Volatile Memory
Large-Scale OD Matrix Estimation with A Deep Learning Method
Differentiable Channel Pruning Search
ForceGrip: Data-Free Curriculum Learning for Realistic Grip Force Control in VR Hand Manipulation
VIPriors 4: Visual Inductive Priors for Data-Efficient Deep Learning Challenges
Likelihood of Cyber Data Injection Attacks to Power Systems
Backward error analysis and the qualitative behaviour of stochastic optimization algorithms: Application to stochastic coordinate descent
In-hoc Concept Representations to Regularise Deep Learning in Medical Imaging
EVGen: Adversarial Networks for Learning Electric Vehicle Charging Loads and Hidden Representations
NORMAD: A Benchmark for Measuring the Cultural Adaptability of Large Language Models
SAR-Net: Multi-scale Direction-aware SAR Network via Global Information Fusion
Using Bad Learners to find Good Configurations
Torsion-Space Diffusion for Protein Backbone Generation with Geometric Refinement
Low-Rank Tensor Learning by Generalized Nonconvex Regularization
Short-term Load Forecasting Based on Hybrid Strategy Using Warm-start Gradient Tree Boosting
ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition
The adaptive Gril estimator with a diverging number of parameters
Weakly-supervised Automated Audio Captioning via text only training
Perspectives on Explanation Formats From Two Stakeholder Groups in Germany: Software Providers and Dairy Farmers
Listening without Looking: Modality Bias in Audio-Visual Captioning
Unsupervised Action Segmentation with Self-supervised Feature Learning and Co-occurrence Parsing
Vector Trifference
Generalization on the Enhancement of Layerwise Relevance Interpretability of Deep Neural Network
Hierarchical B-frame Video Coding Using Two-Layer CANF without Motion Coding
Machine Learning for Nondestructive Wear Assessment in Large Internal Combustion Engines
Social features of online networks: the strength of weak ties in online social media
BL-MNE: Emerging Heterogeneous Social Network Embedding through Broad Learning with Aligned Autoencoder
Multi-Agent Reinforcement Learning for Sample-Efficient Deep Neural Network Mapping
A computationally lightweight safe learning algorithm
Information sets from defining sets in abelian codes
On the Ergodic Rate Lower Bounds with Applications to Massive MIMO
MoE-CAP: Benchmarking Cost, Accuracy and Performance of Sparse Mixture-of-Experts Systems
SmallWorlds: Assessing Dynamics Understanding of World Models in Isolated Environments
Learning from partially labeled data for multi-organ and tumor segmentation
Security Science (SecSci), Basic Concepts and Mathematical Foundations
Infinitesimal Weak Rigidity, Formation Control of Three Agents, and Extension to 3-dimensional Space
Image Super-resolution with An Enhanced Group Convolutional Neural Network
Geometric construction of canonical 3D gadgets in origami extrusions
Learning Quadrupedal Locomotion via Differentiable Simulation
Unifying Bilateral Filtering and Adversarial Training for Robust Neural Networks
MyGO Multiplex CoT: A Method for Self-Reflection in Large Language Models via Double Chain of Thought Thinking
Sketched Equivariant Imaging Regularization and Deep Internal Learning for Inverse Problems
Fuzzy Ontology Embeddings and Visual Query Building for Ontology Exploration
The use of social media among library professionals and patrons: A review of literature
Online Data Collection for Efficient Semiparametric Inference
Machine Learning Strategies for Parkinson Tremor Classification Using Wearable Sensor Data
Optimizing Optimal Reduction: A Type Inference Algorithm for Elementary Affine Logic
FCN Approach for Dynamically Locating Multiple Speakers
Partial Face Detection for Continuous Authentication
A Theoretical Framework for Virtual Power Plant Integration with Gigawatt-Scale AI Data Centers: Multi-Timescale Control and Stability Analysis
Evaluating Large Language Models on the Frame and Symbol Grounding Problems: A Zero-shot Benchmark
An image encryption algorithm based on chaotic Lorenz system and novel primitive polynomial S-boxes
A Tight Algorithm for Strongly Connected Steiner Subgraph On Two Terminals With Demands
Vertex Shader Domain Warping with Automatic Differentiation
Crystal Structure Search with Random Relaxations Using Graph Networks
Flexible conditional density estimation for time series
Analysis of Independent Learning in Network Agents: A Packet Forwarding Use Case
A Design of Low-Projection SCMA Codebooks for Downlink Satellite Internet of Things
Weak Dominance Drawings and Linear Extension Diameter
Incorporating the nonlinearity index into adaptive-mesh sequential convex optimization for minimum-fuel low-thrust trajectory design
The Artist is Present: Traces of Artists Resigind and Spawning in Text-to-Audio AI
Selection of overlapping interaction through approximate decentralized fixed mode measure
SuperMeshing: A Novel Method for Boosting the Mesh Density in Numerical Computation within 2D Domain
IITKGP-ABSP Submission to LRE22: Language Recognition in Low-Resource Settings
Improving the Timing Resolution of Positron Emission Tomography Detectors using Boosted Learning - A Residual Physics Approach
Targeted Adversarial Attacks against Neural Machine Translation
Budget Allocation for Unknown Value Functions in a Lipschitz Space
On Image Registration and Subpixel Estimation
Weighted Branching Simulation Distance for Parametric Weighted Kripke Structures
Claim Extraction in Biomedical Publications using Deep Discourse Model and Transfer Learning
Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification
Asking the metaquestions in constraint tractability
A Universality-Individuality Integration Model for Dialog Act Classification
Quantization Audio Watermarking with Optimal Scaling on Wavelet Coefficients
PID Tuning using Cross-Entropy Deep Learning: a Lyapunov Stability Analysis
A response-adaptive multi-arm design for continuous endpoints based on a weighted information measure
Lessons Learnt from a 2FA roll out within a higher education organisation
Interval non-edge-colorable bipartite graphs and multigraphs
Diatom-inspired architected materials using language-based deep learning: Perception, transformation and manufacturing
Do We Really Need Contrastive Learning for Graph Representation?
Toward a Gigabit Wireless Communications System
Orbital-Free Density Functional Theory Implementation with the Projector Augmented-Wave Method
Generative Adversarial Mapping Networks
Weighted bandits or: How bandits learn distorted values that are not expected
Visual-Inertial Odometry of Aerial Robots
Distributed Learning of Neural Lyapunov Functions for Large-Scale Networked Dissipative Systems
PTSD in the Wild: A Video Database for Studying Post-Traumatic Stress Disorder Recognition in Unconstrained Environments
Unique Games hardness of Quantum Max-Cut, and a vector-valued Borell's inequality
Reporting on Decision-Making Algorithms and some Related Ethical Questions
An improved convergence analysis for decentralized online stochastic non-convex optimization
Exploiting Image Local And Nonlocal Consistency For Mixed Gaussian-Impulse Noise Removal
Confidence Calibration for Object Detection and Segmentation
AIC-UNet: Anatomy-informed Cascaded UNet for Robust Multi-Organ Segmentation
An Efficient Privacy-Preserving Algorithm based on Randomized Response in IoT-based Smart Grid
A Low-Overhead Energy Detection Based Cooperative Sensing Protocol for Cognitive Radio Systems
How to help university students to manage their interruptions and improve their attention and time management
C-SHORe: Higher-Order Verification via Collapsible Pushdown System Saturation
Mirage Fools the Ear, Mute Hides the Truth: Precise Targeted Adversarial Attacks on Polyphonic Sound Event Detection Systems
Multidimensional Membership Mixture Models
Bias-Tolerant Fair Classification
ChOiRe: Characterizing and Predicting Human Opinions with Chain of Opinion Reasoning
Adaptive model predictive control with exploring property for constrained linear systems that uses basis function model parametrization
PanoDiff-SR: Synthesizing Dental Panoramic Radiographs using Diffusion and Super-resolution
Favorite-Candidate Voting for Eliminating the Least Popular Candidate in Metric Spaces
Learning based convex approximation for constrained parametric optimization
Modeling and simulation of adaptive cruise control system
Single Image Action Recognition by Predicting Space-Time Saliency
A risk-based approach to assessing liability risk for AI-driven harms considering EU liability directive
Social Behavior Prediction from First Person Videos
Plan Then Action:High-Level Planning Guidance Reinforcement Learning for LLM Reasoning
Simultaneously sparse and low-rank abundance matrix estimation for hyperspectral image unmixing
Multi-Modal Attention Networks for Enhanced Segmentation and Depth Estimation of Subsurface Defects in Pulse Thermography
Context Conditional Variational Autoencoder for Predicting Multi-Path Trajectories in Mixed Traffic
Small data deep learning methodology for in-field disease detection
Clinical Uncertainty Impacts Machine Learning Evaluations
Modeling and Analysis of the Role of Fast-Response Energy Storage in the Smart Grid
GroupFace: Learning Latent Groups and Constructing Group-based Representations for Face Recognition
Verifying Aircraft Collision Avoidance Neural Networks Through Linear Approximations of Safe Regions
Normal Nested Answer Set Programs: Syntactics, Semantics and Logical Calculi
Secure Hybrid ITS Communication with Data Protection
Generalized threshold arrangements
AI for the prediction of early stages of Alzheimer's disease from neuroimaging biomarkers - A narrative review of a growing field
Modality-agnostic, patient-specific digital twins modeling temporally varying digestive motion
Colon Shape Estimation Method for Colonoscope Tracking using Recurrent Neural Networks
Distributed Transformations of Hamiltonian Shapes based on Line Moves
ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier to Mine Exoplanets
Self-Agreement: A Framework for Fine-tuning Language Models to Find Agreement among Diverse Opinions
Cyanure: An Open-Source Toolbox for Empirical Risk Minimization for Python, C++, and soon more
CLINN: Conservation Law Informed Neural Network for Approximating Discontinuous Solutions
Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormer
SpecDiff-2: Scaling Diffusion Drafter Alignment For Faster Speculative Decoding
AVECL-UMONS database for audio-visual event classification and localization
Charakterystyka odbiciowa inteligentnych matryc antenowych
Focusing on Shadows for Predicting Heightmaps from Single Remotely Sensed RGB Images with Deep Learning
Democratize with Care: The need for fairness specific features in user-interface based open source AutoML tools
First-order transitions and the performance of quantum algorithms in random optimization problems
An Implementation of Multimodal Fusion System for Intelligent Digital Human Generation
COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees
Decentralized Multi-Agent Planning for Multirotors: a Fully online and Communication Latency Robust Approach
Skin-SOAP: A Weakly Supervised Framework for Generating Structured SOAP Notes
Block-Coordinate Minimization for Large SDPs with Block-Diagonal Constraints
Local Interpretable Model Agnostic Shap Explanations for machine learning models
Impact of color and mixing proportion of synthetic point clouds on semantic segmentation
HERITRACE: A User-Friendly Semantic Data Editor with Change Tracking and Provenance Management for Cultural Heritage Institutions
Working Modes and Aspects in Fully-Parallel Manipulator
Computing Whittle (and Gittins) Index in Subcubic Time
Multi-task Learning for Continuous Control
Comparing N-Node Set Importance Representative results with Node Importance Representative results for Categorical Clustering: An exploratory study
Large-scale, Longitudinal, Hybrid Participatory Design Program to Create Navigation Technology for the Blind
mindmap: Spatial Memory in Deep Feature Maps for 3D Action Policies
Key Enabling Technologies for Secure and Scalable Future Fog-IoT Architecture: A Survey
Beyond Instruction Following: Evaluating Rule Following of Large Language Models
Distributed Dictionary Learning
Mining actionable information from security forums: the case of malicious IP addresses
ReStoCNet: Residual Stochastic Binary Convolutional Spiking Neural Network for Memory-Efficient Neuromorphic Computing
From Understanding Genetic Drift to a Smart-Restart Parameter-less Compact Genetic Algorithm
Exploring Fine-grained Retail Product Discrimination with Zero-shot Object Classification Using Vision-Language Models
Safe and Efficient Remote Application Code Execution on Disaggregated NVM Storage with eBPF
Toward Generating Synthetic CT Volumes using a 3D-Conditional Generative Adversarial Network
Demand for shared mobility to complement public transportation: Human driven and autonomous vehicles
Masked Image Modeling Boosting Semi-Supervised Semantic Segmentation
Operator Splitting for Convex Constrained Markov Decision Processes
Towards Commodity, Web-Based Augmented Reality Applications for Research and Education in Chemistry and Structural Biology
Fourier-VLM: Compressing Vision Tokens in the Frequency Domain for Large Vision-Language Models
Integrating Remote Attestation with Transport Layer Security
Unsupervised Object Matching for Relational Data
Balanced distribution-energy inequalities and related entropy bounds
Optimizing the Procedure of CT Segmentation Labeling
Efficient and Reliable Topology Control based Opportunistic Routing Algorithm for WSNs
Cross-modal Center Loss
Priority prediction of Asian Hornet sighting report using machine learning methods
US-SFNet: A Spatial-Frequency Domain-based Multi-branch Network for Cervical Lymph Node Lesions Diagnoses in Ultrasound Images
FAMOUS: Fast Approximate string Matching using OptimUm search Schemes
Counting independent sets in hypergraphs
Nowcast3D: Reliable precipitation nowcasting via gray-box learning
SoftSnap: Rapid Prototyping of Untethered Soft Robots Using Snap-Together Modules
Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models
Context-Aware Scheduling of Joint Millimeter Wave and Microwave Resources for Dual-Mode Base Stations
Revealing digital documents. Concealed structures in data
Benchmarking Named Entity Disambiguation approaches for Streaming Graphs
From Waveforms to Pixels: A Survey on Audio-Visual Segmentation
VGC-RIO: A Tightly Integrated Radar-Inertial Odometry with Spatial Weighted Doppler Velocity and Local Geometric Constrained RCS Histograms
A Game-Theoretic Approach to Adversarial Linear Support Vector Classification
Ecumenical modal logic
Ranking Facts for Explaining Answers to Elementary Science Questions
A Beginner's Guide to Power and Energy Measurement and Estimation for Computing and Machine Learning
From Model Based to Learned Regularization in Medical Image Registration: A Comprehensive Review
Neuro-Symbolic Sudoku Solver
Self-Driving like a Human driver instead of a Robocar: Personalized comfortable driving experience for autonomous vehicles
Image Segmentation with Large Language Models: A Survey with Perspectives for Intelligent Transportation Systems
Weakness in a Mutual Authentication Scheme for Session Initiation Protocol using Elliptic Curve Cryptography
Equi-RO: A 4D mmWave Radar Odometry via Equivariant Networks
A Steganography Based on CT-CDMA Communication Scheme Using Complete Complementary Codes
A Privacy-Preserving Finite-Time Push-Sum based Gradient Method for Distributed Optimization over Digraphs
LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods
DiffoRA: Enabling Parameter-Efficient LLM Fine-Tuning via Differential Low-Rank Matrix Adaptation
Revenue Gaps for Discriminatory and Anonymous Sequential Posted Pricing
Rethinking Remaining Useful Life Prediction with Scarce Time Series Data: Regression under Indirect Supervision
Synthetic Data as Validation
Spanner for the 0/1/∞ weighted region problem
The parallel implementation of the Astrée static analyzer
Interpretable estimation of the risk of heart failure hospitalization from a 30-second electrocardiogram
New preconditioner strategy for solving block four-by-four linear systems: An application to the saddle-point problem from 3D Stokes equation
Multi-label Learning with Random Circular Vectors
Public Health, Technology, and Human Rights: Lessons from Digital Contact Tracing
Learning Causal Models of Autonomous Agents using Interventions
The Nature of Novelty Detection
Crowdsourcing for Identification of Polyp-Free Segments in Virtual Colonoscopy Videos
Synchronization Problems in Automata without Non-trivial Cycles
Mine Tunnel Exploration using Multiple Quadrupedal Robots
Bend 3d Mixed Virtual Element Method for Elliptic Problems
The Impact of Vehicular Traffic Demand on 5G Caching Architectures: a Data-Driven Study