yusuke1997/dblp-id-title huggingface dataset:
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild
AI and Tempo Estimation: A Review
Structured Compression by Unstructured Pruning for Sparse Quantized Neural Networks
Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation
Extensions of the (p, q)-Flexible-Graph-Connectivity model
MambaEviScrib: Mamba and Evidence-Guided Consistency Make CNN Work Robustly for Scribble-Based Weakly Supervised Ultrasound Image Segmentation
Grocery Store Flexibility Management Using Model Predictive Control With Neural Networks
Designing and Implementing e-justice Systems: An Information Systems Approach to Regional Trial Court Case Docket Management in Northern Mindanao, Philippines
Neural Models for Offensive Language Detection
Who and Where: People and Location Co-Clustering
Instance-level loss based multiple-instance learning for acoustic scene classification
Flexible Vector Integration in Embedded RISC-V SoCs for End to End CNN Inference Acceleration
Bio-realistic Neural Network Implementation on Loihi 2 with Izhikevich Neurons
Generating Followup Questions for Interpretable Multi-hop Question Answering
The Chronicles of Foundation AI for Forensics of Multi-Agent Provenance
Agile Flight Emerges from Multi-Agent Competitive Racing
𝓁 0 Regularized Structured Sparsity Convolutional Neural Networks
Generating Robot Constitutions & Benchmarks for Semantic Safety
Reconfigurable Intelligent Surface aided Massive MIMO Systems with Low-Resolution DACs
DRAFT : Task System and Item Architecture (TSIA)
Towards an Autonomous System Monitor for Mitigating Correlation Attacks in the Tor Network
Unveil Multi-Picture Descriptions for Multilingual Mild Cognitive Impairment Detection via Contrastive Learning
FUSegNet: A Deep Convolutional Neural Network for Foot Ulcer Segmentation
Preserving Automotive Heritage: A Blockchain-Based Solution for Secure Documentation of Classic Cars Restoration
Robust Stability Analysis of an Uncertain Aircraft Model with Scalar Parametric Uncertainty
Synthetic Datasets for Machine Learning on Spatio-Temporal Graphs using PDEs
Revisiting Bayesian Blind Deconvolution
Journey into Automation: Image-Derived Pavement Texture Extraction and Evaluation
FGM optimization in complex domains using Gaussian process regression based profile generation algorithm
Quantifying the Information of the Prior and Likelihood in Parametric Bayesian Modeling
Optimal control strategies for efficient energy harvesting from ambient vibrations
Secure and Effective Data Appraisal for Machine Learning
Security and Reliability Analysis of Satellite-Terrestrial Multi-Relay Networks with Imperfect CSI
Cascaded Beam Search: Plug-and-Play Terminology-Forcing For Neural Machine Translation
RDF Stream Taxonomy: Systematizing RDF Stream Types in Research and Practice
LiLoc: Lifelong Localization using Adaptive Submap Joining and Egocentric Factor Graph
Deep Neural Operator Enabled Concurrent Multitask Design for Multifunctional Metamaterials under Heterogeneous Fields
Hawkes Processes Modeling, Inference and Control: An Overview
Fixed-parameter tractability of satisfying beyond the number of variables
UMDFaces: An Annotated Face Dataset for Training Deep Networks
Atlantis Protocol
UltraCortex: Submillimeter Ultra-High Field 9.4 T1 Brain MR Image Collection and Manual Cortical Segmentations
Analysis of Algorithms for Moser's Problems on Sums of Consecutive Primes
A Pragmatic Approach for Hyper-Parameter Tuning in Search-based Test Case Generation
Reprogramming Large Pretrained Language Models for Antibody Sequence Infilling
Extreme Gradient Boosting for Yield Estimation compared with Deep Learning Approaches
Collective transport via sequential caging
Unsynthesizable Cores - Minimal Explanations for Unsynthesizable High-Level Robot Behaviors
Greener Deep Reinforcement Learning: Analysis of Energy and Carbon Efficiency Across Atari Benchmarks
Explosive Output to Enhance Jumping Ability: A Variable Reduction Ratio Design Paradigm for Humanoid Robots Knee Joint
A Comparison Study of Deep CNN Architecture in Detecting of Pneumonia
A smart building semantic platform to enable data re-use in energy analytics applications: the Data Clearing House
A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set
Aligning Generalisation Between Humans and Machines
UserBench: An Interactive Gym Environment for User-Centric Agents
Solving Stochastic Differential Equations with Jump-Diffusion Efficiently: Applications to FPT Problems in Credit Risk
Operative and Procedural Cooperative Training in Marine Ports
A Data-Enhanced Agent-Based Model for Simulating 3D Cancer Spheroid Growth: Integrating Metabolism and Mechanics
Improving ASP-based ORS Schedules through Machine Learning Predictions
Dual-density-based reweighted 𝓁 1 -algorithms for a class of 𝓁 0 -minimization problems
Deforming Videos to Masks: Flow Matching for Referring Video Segmentation
Self Organizing strategies for enhanced ICIC (eICIC)
Cooperative image captioning
Monitoring ROS2: from Requirements to Autonomous Robots
Do Performance Aspirations Matter for Guiding Software Configuration Tuning?
POAR: Towards Open-World Pedestrian Attribute Recognition
Real-Time Deployment of a Large-Scale Multi-Quadcopter System (MQS)
Extremum Seeking Control for Antenna Pointing via Symmetric Product Approximation
A systematic literature review on the application of analytical approaches and mathematical programming in public bus transit network design and operations planning: Part II
Satisfiability and Containment of Recursive SHACL
From Classical to Hybrid: A Practical Framework for Quantum-Enhanced Learning
Optimizing scoring function of dynamic programming of pairwise profile alignment using derivative free neural network
Deep Extrinsic Manifold Representation for Vision Tasks
On flat lossy channel machines
Ecological Data Analysis Based on Machine Learning Algorithms
Comment on "Failure of the simultaneous block diagonalization technique applied to complete and cluster synchronization of random networks"
Empirical evidence of Large Language Model's influence on human spoken communication
Belief revision and 3-valued logics: Characterization of 19, 683 belief change operators
BAPE: Learning an Explicit Bayes Classifier for Long-tailed Visual Recognition
AGGGEN: Ordering and Aggregating while Generating
Probabilistic Trajectory Design Via Approximate Gaussian Mixture Steering
An automatic-adaptivity stabilized finite element method via residual minimization for heterogeneous, anisotropic advection-diffusion-reaction problems
Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD - Extended Version
On Evaluation of Vision Datasets and Models using Human Competency Frameworks
Activity recognition from videos with parallel hypergraph matching on GPUs
Low-rank Matrix Recovery With Unknown Correspondence
A Topological Kinematic Workspace Analysis of the Canfield Joint
A Relative Dependency Pair Framework
Multilingual Source Tracing of Speech Deepfakes: A First Benchmark
Learn Quantum Mechanics with Haskell
A Provably Improved Algorithm for Crowdsourcing with Hard and Easy Tasks
Distributionally Robust LQG control under Distributed Uncertainty
Harvard Eye Fairness: A Large-Scale 3D Imaging Dataset for Equitable Eye Diseases Screening and Fair Identity Scaling
Edge Detection in Radar Images Using Weibull Distribution
RankFeat&RankWeight: Rank-1 Feature/Weight Removal for Out-of-distribution Detection
Lightly Implicit Krylov-Exponential (LIKE) Methods
DianJin-OCR-R1: Enhancing OCR Capabilities via a Reasoning-and-Tool Interleaved Vision-Language Model
Safe Feedback Motion Planning: A Contraction Theory and L 1 -Adaptive Control Based Approach
A Lightweight Clustering Framework for Unsupervised Semantic Segmentation
SPIEDiff: robust learning of long-time macroscopic dynamics from short-time particle simulations with quantified epistemic uncertainty
Convolutional RNN: an Enhanced Model for Extracting Features from Sequential Data
HackerRank-ASTRA: Evaluating Correctness & Consistency of Large Language Models on cross-domain multi-file project problems
Dress like a Star: Retrieving Fashion Products from Videos
Scholarly AI system diagrams as an access point to mental models
CCxTrust: Confidential Computing Platform Based on TEE and TPM Collaborative Trust
Face to Purchase: Predicting Consumer Choices with Structured Facial and Behavioral Traits Embedding
An analysis of noise folding for low-rank matrix recovery
Detection-Oriented Image-Text Pretraining for Open-Vocabulary Detection
Exploring Robustness of Visual State Space model against Backdoor Attacks
A Mathematical Principle of Deep Learning: Learn the Geodesic Curve in the Wasserstein Space
NFLAT: Non-Flat-Lattice Transformer for Chinese Named Entity Recognition
The Code the World Depends On: A First Look at Technology Makers' Open Source Software Dependencies
Augmenting Teamwork through AI Agents as Spatial Collaborators
3D Shape Perception Integrates Intuitive Physics and Analysis-by-Synthesis
On the Problem of Wireless Scheduling with Linear Power Levels
Specializing anti-unification for interaction models composition via gate connections
IFH: a Diffusion Framework for Flexible Design of Graph Generative Models
Manifold Free Riemannian Optimization
Say What I Want: Towards the Dark Side of Neural Dialogue Models
SynPlay: Importing Real-world Diversity for a Synthetic Human Dataset
Too much information: CDCL solvers need to forget and perform restarts
Different Types of Voice User Interface Failures May Cause Different Degrees of Frustration
Unifying and extending Precision Recall metrics for assessing generative models
VideoFusion: A Spatio-Temporal Collaborative Network for Mutli-modal Video Fusion and Restoration
LLM4VG: Large Language Models Evaluation for Video Grounding
A class of randomized Subset Selection Methods for large complex networks
Multi-scale Convolutional Neural Networks for Crowd Counting
A New Normalization Form for Limited Distinct Attributes
Good Data from Bad Models : Foundations of Threshold-based Auto-labeling
Near Sample-Optimal Reduction-based Policy Learning for Average Reward MDP
A General FOFE-net Framework for Simple and Effective Question Answering over Knowledge Bases
Self-supervised Learning with Local Attention-Aware Feature
On the Capacity of Secure K-user Product Computation over a Quantum MAC
Co-inversion of a scattering cavity and its internal sources: uniqueness, decoupling and imaging
Multi-task Domain Adaptation for Deep Learning of Instance Grasping from Simulation
Self-Replicating Mechanical Universal Turing Machine
Reusability and Modifiability in Robotics Software (Extended Version)
Nonlinear MPC for Collision Avoidance and Controlof UAVs With Dynamic Obstacles
Pooling the Convolutional Layers in Deep ConvNets for Action Recognition
Appropriate and Inappropriate Estimation Techniques
Diamond of Thought: A Design Thinking-Based Framework for LLMs in Wearable Design
The damage number of the Cartesian product of graphs
Artificial Intelligence-derived Cardiotocography Age as a Digital Biomarker for Predicting Future Adverse Pregnancy Outcomes
LoRA-BERT: a Natural Language Processing Model for Robust and Accurate Prediction of long non-coding RNAs
Proceedings of the 12th Workshop on Horn Clauses for Verification and Synthesis
Prediction of liquid fuel properties using machine learning models with Gaussian processes and probabilistic conditional generative learning
Cross-Modal Content Optimization for Steering Web Agent Preferences
Thompson Sampling for Noncompliant Bandits
On Existence of Separable Contraction Metrics for Monotone Nonlinear Systems
Systematic Review on Reinforcement Learning in the Field of Fintech
Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer
Cobham's theorem for substitutions
Design of Efficient Sampling Methods on Hybrid Social-Affiliation Networks
Deep Self-Organization: Interpretable Discrete Representation Learning on Time Series
Mixed Precision Training of Neural ODEs
A Multistakeholder Approach to Value-Driven Co-Design of Recommender System Evaluation Metrics in Digital Archives
Enhancing the Medical Context-Awareness Ability of LLMs via Multifaceted Self-Refinement Learning
Graph Neural Network contextual embedding for Deep Learning on Tabular Data
A General Albedo Recovery Approach for Aerial Photogrammetric Images through Inverse Rendering
FedMD: Heterogenous Federated Learning via Model Distillation
SEER: Sustainable E-commerce with Environmental-impact Rating
A Survey on Human-AI Teaming with Large Pre-Trained Models
On Independent Samples Along the Langevin Diffusion and the Unadjusted Langevin Algorithm
Are Good Explainers Secretly Human-in-the-Loop Active Learners?
Zero-Shot Opinion Summarization with GPT-3
Correspondence Learning for Controllable Person Image Generation
Optimization Framework for Green Networking
RaceFixer - An Automated Data Race Fixer
Towards Neural Functional Program Evaluation
Picking Pearl From Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services
Role of scrambling and noise in temporal information processing with quantum systems
Image2GIF: Generating Cinemagraphs using Recurrent Deep Q-Networks
Boundary Control Behaviors of Multiple Low-cost AUVs Using Acoustic Communication
CAVE: Detecting and Explaining Commonsense Anomalies in Visual Environments
Visual Chunking: A List Prediction Framework for Region-Based Object Detection
Gate-Level Side-Channel Leakage Assessment with Architecture Correlation Analysis
Latent variable approach to diarization of audio recordings using ad-hoc randomly placed mobile devices
Model-Based Risk Assessment for Cyber Physical Systems Security
Generative Hyperelasticity with Physics-Informed Probabilistic Diffusion Fields
Computing expected moments of the Rényi parking problem on the circle
New Approach to Optimize the Time of Association Rules Extraction
What Blocks My Blockchain's Throughput? Developing a Generalizable Approach for Identifying Bottlenecks in Permissioned Blockchains
Deep Graph Neural Networks with Shallow Subgraph Samplers
Randomized algorithms for Tikhonov regularization in linear least squares
Generalised Zero-Shot Learning with a Classifier Ensemble over Multi-Modal Embedding Spaces
Distributed Edge-based Video Analytics on the Move
hp-Version discontinuous Galerkin methods on essentially arbitrarily-shaped elements
Finding events in temporal networks: Segmentation meets densest-subgraph discovery
From SAM to DINOv2: Towards Distilling Foundation Models to Lightweight Baselines for Generalized Polyp Segmentation
On poroelastic strain energy degradation in the variational phase-field models for hydraulic fracture
Transfer Causal Learning: Causal Effect Estimation with Knowledge Transfer
Intent Induction from Conversations for Task-Oriented Dialogue Track at DSTC 11
NeRFuser: Large-Scale Scene Representation by NeRF Fusion
Data-centric Operational Design Domain Characterization for Machine Learning-based Aeronautical Products
A Typology of Authentication Systems
End-to-end Generative Zero-shot Learning via Few-shot Learning
Joint Coding of eMBB and URLLC in Vehicle-to-Everything (V2X) Communications
Non-asymptotic convergence bound of conditional diffusion models
Variational Deep Learning via Implicit Regularization
Parareal with a physics-informed neural network as coarse propagator
Multi-stream deep learning framework to predict mild cognitive impairment with Rey Complex Figure Test
What You See Is What You Detect: Towards better Object Densification in 3D detection
Proximal Policy Optimization via Enhanced Exploration Efficiency
Finding the "truncated" polynomial that is closest to a function
Learning with Diversification from Block Sparse Signal
Exploring Multilingual Probing in Large Language Models: A Cross-Language Analysis
The Challenges in Specifying and Explaining Synthesized Implementations of Reactive Systems
Probabilistic Nets-within-Nets
MBORE: Multi-objective Bayesian Optimisation by Density-Ratio Estimation
SAGE: A Generic Framework for LLM Safety Evaluation
Bandwidth Modeling and Estimation in Peer to Peer Networks
Epidemiology of Large Language Models: A Benchmark for Observational Distribution Knowledge
Electricity prices and tariffs to keep everyone happy: a framework for compatible fixed and nodal structures to increase efficiency
Minimal Data, Maximum Clarity: A Heuristic for Explaining Optimization
Cascaded 3D Diffusion Models for Whole-body 3D 18-F FDG PET/CT synthesis from Demographics
Discriminating Form and Meaning in Multilingual Models with Minimal-Pair ABX Tasks
Scalable Model-Based Management of Correlated Dimensional Time Series in ModelarDB
DeepExtractor: Time-domain reconstruction of signals and glitches in gravitational wave data with deep learning
A Sharp KL-Convergence Analysis for Diffusion Models under Minimal Assumptions
Mass Spectra Prediction with Structural Motif-based Graph Neural Networks
Distributed File System for an Edge-Based Environment
Do Encoder Representations of Generative Dialogue Models Encode Sufficient Information about the Task ?
Blended Learning Content Generation: A Guide for Busy Academics
Offline Reinforcement Learning as Anti-Exploration
Faster Principal Component Regression via Optimal Polynomial Approximation to sgn(x)
Machine Learning-based Estimation of Forest Carbon Stocks to increase Transparency of Forest Preservation Efforts
Compressed particle methods for expensive models with application in Astronomy and Remote Sensing
Calibration of an Articulated Camera System with Scale Factor Estimation
A Novel Contactless Human Machine Interface based on Machine Learning
Embedding conditional event algebras into temporal calculus of conditionals
Model-Enhanced LLM-Driven VUI Testing of VPA Apps
Fiper: a Visual-based Explanation Combining Rules and Feature Importance
Reduced-Memory Methods for Linear Discontinuous Discretization of the Time-Dependent Boltzmann Transport Equation
Geometric path augmentation for inference of sparsely observed stochastic nonlinear systems
Time-Aware Gated Recurrent Unit Networks for Road Surface Friction Prediction Using Historical Data
Joint Super-Resolution and Inverse Tone-Mapping: A Feature Decomposition Aggregation Network and A New Benchmark
Training Compact Neural Networks with Binary Weights and Low Precision Activations
A generic polynomial time approach to separation by first-order logic without quantifier alternation
Unreal-MAP: Unreal-Engine-Based General Platform for Multi-Agent Reinforcement Learning
qDWI-Morph: Motion-compensated quantitative Diffusion-Weighted MRI analysis for fetal lung maturity assessment
Methodology to Evaluate Distributed Control Strategies used in Distributed Energy Resource Applications
Coupled and Uncoupled Dynamic Mode Decomposition in Multi-Compartmental Systems with Applications to Epidemiological and Additive Manufacturing Problems
SkinGrip: An Adaptive Soft Robotic Manipulator with Capacitive Sensing for Whole-Limb Bathing Assistance
A system design approach toward integrated cryogenic quantum control systems
Recent Developments in Mems-Based Micro Fuel Cells
GT-SVQ: A Linear-Time Graph Transformer for Node Classification Using Spiking Vector Quantization
Statistical Verification of Hyperproperties for Cyber-Physical System
ENTP: Encoder-only Next Token Prediction
Model-to-Model Knowledge Transmission (M2KT): A Data-Free Framework for Cross-Model Understanding Transfer
CoFi: A Fast Coarse-to-Fine Few-Shot Pipeline for Glomerular Basement Membrane Segmentation
Symptom Identification for Interpretable Detection of Multiple Mental Disorders
Parameterized Control Complexity in Fallback Voting
Explaining Context Length Scaling and Bounds for Language Models
Evaluating the Factual Consistency of Large Language Models Through Summarization
New Online Algorithm for Dynamic Speed Scaling with Sleep State
A Model of Double Descent for High-dimensional Binary Linear Classification
Light spanners for snowflake metrics
One-Class Classification: Taxonomy of Study and Review of Techniques
Improved Cryptanalysis of Rank Metric Schemes Based on Gabidulin Codes
Programming with Context-Sensitive Holes using Dependency-Aware Tuning
A 'Canny' Approach to Spoken Language Interfaces
KerCNNs: biologically inspired lateral connections for classification of corrupted images
Linking theory and empirics: a general framework to model opinion formation processes
Governing Governance: A Formal Framework for Analysing Institutional Design and Enactment Governance
Genetic algorithm implementation for effective document subject search
Federated Reinforcement Learning at the Edge
PC-DAN: Point Cloud based Deep Affinity Network for 3D Multi-Object Tracking (Accepted as an extended abstract in JRDB-ACT Workshop at CVPR21)
Skill-LLM: Repurposing General-Purpose LLMs for Skill Extraction
MambaVT: Spatio-Temporal Contextual Modeling for robust RGB-T Tracking
Frozen Layers: Memory-efficient Many-fidelity Hyperparameter Optimization
The Simplest Binary Word with Only Three Squares
Differentially Private Community Detection in h -uniform Hypergraphs
Bounds on Ramsey Games via Alterations
Using parameter elimination to solve discrete linear Chebyshev approximation problems
On Globular T-Spherical Fuzzy (G-TSF) Sets with Application to G-TSF Multi-Criteria Group Decision-Making
CRT-Based High Speed Parallel Architecture for Long BCH Encoding
Precise asymptotic analysis of Sobolev training for random feature models
Learning Algorithm for Relation-Substitutable Context-Free Languages
An Extensible Ad Hoc Interface between Lean and Mathematica
Relaxation of condition for convergence of dynamic regressor extension and mixing procedure
Visual Pursuit Control based on Gaussian Processes with Switched Motion Trajectories
Perturbation-Resilient Trades for Dynamic Service Balancing
Fast Low-Rank Tensor Decomposition by Ridge Leverage Score Sampling
Flexing RISC-V Instruction Subset Processors (RISPs) to Extreme Edge
A Framework for Cost-Effective and Self-Adaptive LLM Shaking and Recovery Mechanism
The IoT Breaches your Household Again
Implicit Weight Uncertainty in Neural Networks
How do Language Models Generate Slang: A Systematic Comparison between Human and Machine-Generated Slang Usages
Mimicking the Behaviour of Idiotypic AIS Robot Controllers Using Probabilistic Systems
Scalable Segmentation for Ultra-High-Resolution Brain MR Images
A Data Centric Approach for Unsupervised Domain Generalization via Retrieval from Web Scale Multimodal Data
A Comprehensive Study on Visual Explanations for Spatio-temporal Networks
AutiHero: Leveraging Generative AI in Social Narratives to Engage Parents in Story-Driven Behavioral Guidance for Autistic Children
Vision-based Vineyard Navigation Solution with Automatic Annotation
Reconstructing the Invisible: Video Frame Restoration through Siamese Masked Conditional Variational Autoencoder
PAGS: Priority-Adaptive Gaussian Splatting for Dynamic Driving Scenes
A Machine Learning Application for Raising WASH Awareness in the Times of Covid-19 Pandemic
Physics-Informed Neural Network-Based Parametric Deep Material Network for Multiphysics Behavior Prediction of Heterogeneous Materials with a Varying Morphology
Privacy attitudes and concerns in the digital lives of older adults: Westin's privacy attitude typology revisited
Minuteman: Machine and Human Joining Forces in Meeting Summarization
Prediction of the Influence of Navigation Scan-path on Perceived Quality of Free-Viewpoint Videos
Morality in AI. A plea to embed morality in LLM architectures and frameworks
CSMA using Statistical Physics toward Throughput and Utility Optimal CSMA
Classification of Epithelial Ovarian Carcinoma Whole-Slide Pathology Images Using Deep Transfer Learning
Embedding Space Allocation with Angle-Norm Joint Classifiers for Few-Shot Class-Incremental Learning
Conservative Likelihood Ratio Estimator for Infrequent Data Slightly above a Frequency Threshold
On Multi-Level Apportionment
VisAider: AI-Assisted Context-Aware Visualization Support for Data Presentations
QCPINN: Quantum Classical Physics-Informed Neural Networks for Solving PDEs
Generalized XGBoost Method