yusuke1997/dblp-id-title huggingface dataset:
Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching
A human-editable Sign Language representation for software editing - and a writing system?
hp3D User Manual
Weight distribution of two classes of cyclic codes with respect to two distinct order elements
ABS-NET: Fully Decentralized Runtime Adaptation for Distributed Objects
EGL++: Extending Expected Gradient Length to Active Learning for Human Pose Estimation
SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval
Overcoming the Imbalance Between Tag Recommendation Approaches and Real-World Folksonomy Structures with Cognitive-Inspired Algorithms
A Secure Key Agreement Protocol for Dynamic Group
BatSort: Enhanced Battery Classification with Transfer Learning for Battery Sorting and Recycling
Efficient Post-Training Augmentation for Adaptive Inference in Heterogeneous and Distributed IoT Environments
Structure and Rank of Cyclic codes over a class of non-chain rings
UrbanFeel: A Comprehensive Benchmark for Temporal and Perceptual Understanding of City Scenes through Human Perspective
3D Scan Registration using Curvelet Features in Planetary Environments
Exemplar-condensed Federated Class-incremental Learning
Gradient Descent for Deep Matrix Factorization: Dynamics and Implicit Bias towards Low Rank
Dual-Augmented Transformer Network for Weakly Supervised Semantic Segmentation
Compressed Sensing SAR Imaging with Multilook Processing
VITA: Versatile Time Representation Learning for Temporal Hyper-Relational Knowledge Graphs
Provable Mixed-Noise Learning with Flow-Matching
Observability Analysis and Composite Disturbance Filtering for a Bar Tethered to Dual UAVs Subject to Multi-source Disturbances
Achieving Collective Welfare in Multi-Agent Reinforcement Learning via Suggestion Sharing
Exemplar-AMMs: Recognizing Crowd Movements from Pedestrian Trajectories
Excitation-based Voice Quality Analysis and Modification
Hierarchical Deep Learning of Multiscale Differential Equation Time-Steppers
Conjunctive Queries with Theta Joins Under Updates
A Complex Java Code Generator for ACL2 Based on a Shallow Embedding of ACL2 in Java
A Segment-Wise Gaussian Process-Based Ground Segmentation With Local Smoothness Estimation
Synchronous orders on the set of integers
Analog Iterative Machine (AIM): using light to solve quadratic optimization problems with mixed variables
Secure Top-k Query Processing on Encrypted Databases
Directed Information on Abstract spaces: Properties and Extremum Problems
Internet Speed Measurement: Current Challenges and Future Recommendations
SwarmDiffusion: End-To-End Traversability-Guided Diffusion for Embodiment-Agnostic Navigation of Heterogeneous Robots
Transformers Can Represent n -gram Language Models
Quantum GestART: Identifying and Applying Correlations between Mathematics, Art, and Perceptual Organization
The homology graph of a higher dimensional automaton
Benchmarking Large Language Models for Polymer Property Predictions
Convex Optimization Learning of Faithful Euclidean Distance Representations in Nonlinear Dimensionality Reduction
Calibrated BatchNorm: Improving Robustness Against Noisy Weights in Neural Networks
Large Scale Generation of Labeled Type Data for Python
Predicting Acute Kidney Injury at Hospital Re-entry Using High-dimensional Electronic Health Record Data
A Physics-Based Data-Driven Approach for Finite Time Estimation of Pandemic Growth
Portability and Scalability of OpenMP Offloading on State-of-the-art Accelerators
cuSZ(x): Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs
Trustworthy AI on Safety, Bias, and Privacy: A Survey
Real-time 3D Facial Tracking via Cascaded Compositional Learning
MR. Video: "MapReduce" is the Principle for Long Video Understanding
Fast Revocable Attribute-Based Encryption with Data Integrity for Internet of Things
Short term solar energy prediction by machine learning algorithms
Recovering individual emotional states from sparse ratings using collaborative filtering
Local image registration a comparison for bilateral registration mammography
Online Learning for the Random Feature Model in the Student-Teacher Framework
MenuCraft: Interactive Menu System Design with Large Language Models
Computational Hardness of Reinforcement Learning with Partial q π -Realizability
Coding for Channels with SNR Variation: Spatial Coupling and Efficient Interleaving
Skill Transfer for Temporally-Extended Task Specifications
Proof of Concept: Automatic Type Recognition
L3Cube-MahaNER: A Marathi Named Entity Recognition Dataset and BERT models
Bringing Characters to New Stories: Training-Free Theme-Specific Image Generation via Dynamic Visual Prompting
Large Language Model-driven Security Assistant for Internet of Things via Chain-of-Thought
Single-camera Two-Wavelength Imaging Pyrometry for Melt Pool Temperature Measurement and Monitoring in Laser Powder Bed Fusion based Additive Manufacturing
Semi-supervised Body Parsing and Pose Estimation for Enhancing Infant General Movement Assessment
Relative fixed points of functors
Comments on "sub-KBT micro-electromechanical irreversible logic gate"
Assessing Color Vision Test in Large Vision-language Models
SESaMo: Symmetry-Enforcing Stochastic Modulation for Normalizing Flows
Toward Reliable Designs of Data-Driven Reinforcement Learning Tracking Control for Euler-Lagrange Systems
Growing Multiplex Networks with Arbitrary Number of Layers
Distributed Compressed Sparse Row Format for Spiking Neural Network Simulation, Serialization, and Interoperability
Generating Medically-Informed Explanations for Depression Detection using LLMs
Estimation of Cardiac and Non-cardiac Diagnosis from Electrocardiogram Features
Numerical approximation of linear evolution equations revisited
Finding Neighbors in a Forest: A b-tree for Smoothed Particle Hydrodynamics Simulations
Improved Inception-Residual Convolutional Neural Network for Object Recognition
Activation Functions in Artificial Neural Networks: A Systematic Overview
The Quantum Tortoise and the Classical Hare: A simple framework for understanding which problems quantum computing will accelerate (and which it will not)
To Label or Not to Label: PALM - A Predictive Model for Evaluating Sample Efficiency in Active Learning Models
Attention Hijackers: Detect and Disentangle Attention Hijacking in LVLMs for Hallucination Mitigation
Hybrid Deep Convolutional Neural Networks Combined with Autoencoders And Augmented Data To Predict The Look-Up Table 2006
Mesh-based Photorealistic and Real-time 3D Mapping for Robust Visual Perception of Autonomous Underwater Vehicle
Deep Learning Guided Building Reconstruction from Satellite Imagery-derived Point Clouds
Doctor-in-the-Loop: An Explainable, Multi-View Deep Learning Framework for Predicting Pathological Response in Non-Small Cell Lung Cancer
Role of Committed Minorities in Times of Crisis
Info-Clustering: An Efficient Algorithm by Network Information Flow
Non-Holonomic RRT & MPC: Path and Trajectory Planning for an Autonomous Cycle Rickshaw
Symmetry-preserving enforcement of low-dissipation method based on boundary variation diminishing principle
A Medical Low-Back Pain Physical Rehabilitation Dataset for Human Body Movement Analysis
Per-Instance Privacy Accounting for Differentially Private Stochastic Gradient Descent
Singular Curves in the Joint Space and Cusp Points of 3-RPR parallel manipulators
Methods of Hierarchical Clustering
On Solving a Generalized Chinese Remainder Theorem in the Presence of Remainder Errors
Proceedings of the 5th International Workshop on Software Engineering Methods in Spreadsheets (SEMS'18)
TEE is not a Healer: Rollback-Resistant Reliable Storage
Statistical Query Algorithms and Low-Degree Tests Are Almost Equivalent
AutoMeet: a proof-of-concept study of genAI to automate meetings in automotive engineering
Recursive Exponential Weighting for Online Non-convex Optimization
Medial Parametrization of Arbitrary Planar Compact Domains with Dipoles
Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with Relational Reasoning
Hybrid Spiking Neural Network Fine-tuning for Hippocampus Segmentation
FExGAN-Meta: Facial Expression Generation with Meta Humans
Geometric Deep Learning: a Temperature Based Analysis of Graph Neural Networks
Budget-based real-time Executor for Micro-ROS
Deep learning classifier of locally advanced rectal cancer treatment response from endoscopy images
Beyond Explainability: The Case for AI Validation
Uncertainty Relations for MIMO Ambiguity Functions
Modeling and Joint Optimization of Security, Latency, and Computational Cost in Blockchain-based Healthcare Systems
Optimal Bayesian Affine Estimator and Active Learning for the Wiener Model
One-Prompt Strikes Back: Sparse Mixture of Experts for Prompt-based Continual Learning
A marine radioisotope gamma-ray spectrum analysis method based on Monte Carlo simulation and MLP neural network
Bridging Gap between Image Pixels and Semantics via Supervision: A Survey
Brazil Data Commons: A Platform for Unifying and Integrating Brazil's Public Data
Truck Axle Detection with Convolutional Neural Networks
Counterexample to Babai's lonely colour conjecture
Probabilistic Subgoal Representations for Hierarchical Reinforcement learning
A Bayesian Tensor Factorization Model via Variational Inference for Link Prediction
Mobile Computing in Digital Ecosystems: Design Issues and Challenges
A Computational Framework for Boundary Representation of Solid Sweeps
TrackGPT - A generative pre-trained transformer for cross-domain entity trajectory forecasting
Event-based clinical findings extraction from radiology reports with pre-trained language model
Power System Supplementary Damping Controllers in the Presence of Saturation
Supercloseness of the DDG method for a singularly perturbed convection diffusion problem on Shishkin mesh
A Comprehensive Framework for Semantic Similarity Analysis of Human and AI-Generated Text Using Transformer Architectures and Ensemble Techniques
H2 and H-infinity Suboptimal Distributed Filter Design for Linear Systems
Efficient Uncertainty Estimation via Distillation of Bayesian Large Language Models
The Semantic Information Method for Maximum Mutual Information and Maximum Likelihood of Tests, Estimations, and Mixture Models
REX: Rapid Exploration and eXploitation for AI Agents
An Adequate While-Language for Stochastic Hybrid Computation
Throughput and Delay Analysis in Video Streaming over Block-Fading Channels
Enhancing Molecular Property Prediction via Mixture of Collaborative Experts
ModSSC: A Modular Framework for Semi-Supervised Classification on Heterogeneous Data
PerSense: Personalized Instance Segmentation in Dense Images
Online GentleAdaBoost - Technical Report
A reduced order model for geometrically parameterized two-scale simulations of elasto-plastic microstructures under large deformations
Guided Self-Organization of Input-Driven Recurrent Neural Networks
FindingDory: A Benchmark to Evaluate Memory in Embodied Agents
Testing Large Language Models on Driving Theory Knowledge and Skills for Connected Autonomous Vehicles
Multi-Objective Sizing Optimization Method of Microgrid Considering Cost and Carbon Emissions
Modeling and Analysis of Leaky Deception using Signaling Games with Evidence
Joint Representation and Truncated Inference Learning for Correlation Filter based Tracking
Smooth and Low Latency Video Streaming for Autonomous Cars during Handover
Exploring Automated Code Evaluation Systems and Resources for Code Analysis: A Comprehensive Survey
A pipeline for automated processing of Corona KH-4 (1962-1972) stereo imagery
Service Chain and Virtual Network Embeddings: Approximations using Randomized Rounding
Optimal Energy Distribution with Energy Packet Networks
Macro Action Reinforcement Learning with Sequence Disentanglement using Variational Autoencoder
Sustainable Verbal and Non-verbal Human-Robot Interaction Through Cloud Services
A Flat Minima Perspective on Understanding Augmentations and Model Robustness
Scam Shield: Multi-Model Voting and Fine-Tuned LLMs Against Adversarial Attacks
BagPack: A general framework to represent semantic relations
A mixed precision Jacobi method for the symmetric eigenvalue problem
DDF: A Novel Dual-Domain Image Fusion Strategy for Remote Sensing Image Semantic Segmentation with Unsupervised Domain Adaptation
Deep Imbalanced Time-series Forecasting via Local Discrepancy Density
End-to-End Audio-Visual Learning for Cochlear Implant Sound Coding in Noisy Environments
Phased Microphone Array for Sound Source Localization with Deep Learning
Provable trade-offs between private & robust machine learning
Detecting Driver's Distraction using Long-term Recurrent Convolutional Network
APC: Adaptive Patch Contrast for Weakly Supervised Semantic Segmentation
Evolving Security in LLMs: A Study of Jailbreak Attacks and Defenses
Architecting Dependable Learning-enabled Autonomous Systems: A Survey
Autonomy at Levels for Spacecraft
Spatial Branch-and-Bound for Computing Multiplayer Nash Equilibrium
Do Large Language Models Have a Planning Theory of Mind? Evidence from MindGames: a Multi-Step Persuasion Task
Robust subspace clustering by Cauchy loss function
Multilingual Transfer Learning for QA Using Translation as Data Augmentation
A Survey of Deep Learning Based Radar and Vision Fusion for 3D Object Detection in Autonomous Driving
Joint Blind Deconvolution and Robust Principal Component Analysis for Blood Flow Estimation in Medical Ultrasound Imaging
Personal Narratives Empower Politically Disinclined Individuals to Engage in Political Discussions
Pocket Schlieren: a background oriented schlieren imaging platform on a smartphone
Real-Time Pitch/F0 Detection Using Spectrogram Images and Convolutional Neural Networks
Resampling community detection to maximize propagation in complex network
An Attack on Feature Level-based Facial Soft-biometric Privacy Enhancement
Unsupervised Backdoor Detection and Mitigation for Spiking Neural Networks
Adaptive Mixtures of Factor Analyzers
ADBM: Adversarial diffusion bridge model for reliable adversarial purification
Creating a Universal Dependencies Treebank of Spoken Frisian-Dutch Code-switched Data
Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration
Event-based Convolutional Networks for Object Detection in Neuromorphic Cameras
Evaluation of Deep Learning based Pose Estimation for Sign Language
Introducing Political Ecology of Creative-Ai
Contributions to the Algorithmic Foundations of Approximate Lie Symmetry Algebras of Differential Equations
Vesicoureteral Reflux Detection with Reliable Probabilistic Outputs
Learning Pluralistic User Preferences through Reinforcement Learning Fine-tuned Summaries
Using Synthetic Images to Augment Small Medical Image Datasets
Reinforcement learning meets bioprocess control through behaviour cloning: Real-world deployment in an industrial photobioreactor
A Multi-stage deep architecture for summary generation of soccer videos
Optimisation-free Classification and Density Estimation with Quantum Circuits
Algorithm for factoring some RSA and Rabin moduli
Predictive Control for Autonomous Driving with Uncertain, Multi-modal Predictions
Supplementing Gradient-Based Reinforcement Learning with Simple Evolutionary Ideas
A Unified Framework for Attention-Based Few-Shot Object Detection
"This item is a glaxefw, and this is a glaxuzb": Compositionality Through Language Transmission, using Artificial Neural Networks
High and Low Resolution Tradeoffs in Roadside Multimodal Sensing
WorldMirror: Universal 3D World Reconstruction with Any-Prior Prompting
A Disproof of Large Language Model Consciousness: The Necessity of Continual Learning for Consciousness
Frequent subgraph-based persistent homology for graph classification
1st Place Solution for YouTubeVOS Challenge 2021: Video Instance Segmentation
Efficient Test-Time Scaling via Self-Calibration
Developer Operations and Engineering Multi-Agent Systems
The Hidden cost of the Edge: A Performance Comparison of Edge and Cloud Latencies
Attention-based Few-Shot Person Re-identification Using Meta Learning
Adaptive Weight Decay: On The Fly Weight Decay Tuning for Improving Robustness
Redundant Observer-Based Tracking Control for Object Extraction Using a Cable Connected UAV
A Bayesian Approach to Weakly-supervised Laparoscopic Image Segmentation
Multiview Hessian Discriminative Sparse Coding for Image Annotation
A Hybrid 3DCNN and 3DC-LSTM based model for 4D Spatio-temporal fMRI data: An ABIDE Autism Classification study
Context-Aware Whisper for Arabic ASR Under Linguistic Varieties
Pseudocodewords from Bethe Permanents
On the Use of a Spectral Glottal Model for the Source-filter Separation of Speech
Soccer Player Tracking in Low Quality Video
Global Exponential Observers for Two Classes of Nonlinear Systems
Generalized Octave Convolutions for Learned Multi-Frequency Image Compression
Universal Algebraic Controllers and System Identification
A novel framework for image forgery localization
EtCon: Edit-then-Consolidate for Reliable Knowledge Editing
Tracking in Aerial Hyperspectral Videos using Deep Kernelized Correlation Filters
Extracting information from S-curves of language change
Overlapping Community Detection in Complex Networks using Symmetric Binary Matrix Factorization
K3, L3, LP, RM3, A3, FDE: How to Make Many-Valued Logics Work for You
M3D-NCA: Robust 3D Segmentation with Built-in Quality Control
xCoT: Cross-lingual Instruction Tuning for Cross-lingual Chain-of-Thought Reasoning
Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning
Datrics Text2SQL: A Framework for Natural Language to SQL Query Generation
Monolithic parabolic regularization of the MHD equations and entropy principles
Short-Term Voltage Security Constrained UC to Prevent Trip Faults in High Wind Power Penetrated Power Systems
Agro-Consensus: Semantic Self-Consistency in Vision-Language Models for Crop Disease Management in Developing Countries
On the Coexistence of eMBB and URLLC in Multi-cell Massive MIMO
Fence - An Efficient Parser with Ambiguity Support for Model-Driven Language Specification
From Overfitting to Robustness: Quantity, Quality, and Variety Oriented Negative Sample Selection in Graph Contrastive Learning
Optimal convergence in finite element semi-discrete error analysis of the Doyle-Fuller-Newman model beyond 1D with a novel projection operator
Inherently robust suboptimal MPC for autonomous racing with anytime feasible SQP
Layout-Aware Parsing Meets Efficient LLMs: A Unified, Scalable Framework for Resume Information Extraction and Evaluation
Neural Material Adaptor for Visual Grounding of Intrinsic Dynamics
Occupancy Detection Based on Electricity Consumption
Time-series Change Point Detection with Self-Supervised Contrastive Predictive Coding
Zero-shot Text-driven Physically Interpretable Face Editing
Computing loop corrections by message passing
Study of Automatic Offloading Method in Mixed Offloading Destination Environment
Do BERTs Learn to Use Browser User Interface? Exploring Multi-Step Tasks with Unified Vision-and-Language BERTs
Spectrum Sharing Policy in the Asia-Pacific Region
An Easy Proof of a Weak Version of Chernoff inequality
Semantics and Security Issues in JavaScript
Performance analysis of a Tor-like onion routing implementation
The Stability of The Longley-Rice Irregular Terrain Model for Typical Problems
Towards non-linear quadrature formulae
Pre-training Co-evolutionary Protein Representation via A Pairwise Masked Language Model
Factor Graphs for Quantum Information Processing
Bifurcation analysis of a TaO memristor model
Multicore Dynamic Kernel Modules Attachment Technique for Kernel Performance Enhancement
Adapt a Generic Human-Centered AI Design Framework in Children's Context
ELODI: Ensemble Logit Difference Inhibition for Positive-Congruent Training
On the Importance of Critical Period in Multi-stage Reinforcement Learning
Zeno machines and Running Turing machine for infinite time
EgoVideo: Exploring Egocentric Foundation Model and Downstream Adaptation
Noisy Inliers Make Great Outliers: Out-of-Distribution Object Detection with Noisy Synthetic Outliers
Electricity Pooling Markets with Strategic Producers Possessing Asymmetric Information II: Inelastic DemandElectricity Pooling Markets with Strategic Producers Possessing Asymmetric Information II: Inelastic Demand
Where Should I Study? Biased Language Models Decide! Evaluating Fairness in LMs for Academic Recommendations
A Comparative Study of the Usability of Two Object-oriented Concurrent Programming Languages
A New Clustering Approach based on Page's Path Similarity for Navigation Patterns Mining
Computational Identification of Regulatory Statements in EU Legislation
Engagement in the electoral processes: scaling laws and the role of the political positions
Robust MPC with Zone Tracking
CI/CD Configuration Practices in Open-Source Android Apps: An Empirical Study
Stability analysis of a departure time choice problem with atomic vehicle models
Pre-training of Deep Protein Models with Molecular Dynamics Simulations for Drug Binding
Can we still use PEAQ? A Performance Analysis of the ITU Standard for the Objective Assessment of Perceived Audio Quality
ELR-1000: A Community-Generated Dataset for Endangered Indic Indigenous Languages
Transhuman Ansambl - Voice Beyond Language
One Formalization of Virtue Ethics via Learning
Neuroevolution-Enhanced Multi-Objective Optimization for Mixed-Precision Quantization
RL-ADN: A High-Performance Deep Reinforcement Learning Environment for Optimal Energy Storage Systems Dispatch in Active Distribution Networks
Differential Private Noise Adding Mechanism: Fundamental Theory and its Application
Improving Neural Network Robustness through Neighborhood Preserving Layers
Both the validity of the cultural tightness index and the association with creativity and order are spurious - a comment on Jackson et al
Using Bias Optimization for Reversible Data Hiding Using Image Interpolation
Optimisation of Nonlinear Spring and Damper Characteristics for Vehicle Ride and Handling Improvement
Widening Access to Applied Machine Learning with TinyML
A number game reconciliation
Community-Based Resilience: Digital Technologies for Living within Planetary Boundaries
Innovations in the field of on-board scheduling technologies
Classification of Radio Galaxies with trainable COSFIRE filters
Low-Complexity Integer-Forcing Methods for Block Fading MIMO Multiple-Access Channels
Gabor-like Image Filtering using a Neural Microcircuit
Pareto optimal exchange with indifferent endowments
Discrete Mathematics for Computer Science, Some Notes
Multi-scale analysis of the European airspace using network community detection
FaaS Is Not Enough: Serverless Handling of Burst-Parallel Jobs
Large Language Models for Multi-label Propaganda Detection
The non-positive circuit weight problem in parametric graphs: a fast solution based on dioid theory
Can an Algorithm be My Healthcare Proxy?
The Cognitive Processing of Causal Knowledge
Practical Period Finding on IBM Q - Quantum Speedups in the Presence of Errors
Continuous Experimentation and the Cyber-Physical Systems challenge. An overview in literature and the industrial perspective
Improving the Tightness of Convex Relaxation Bounds for Training Certifiably Robust Classifiers
A Game Theoretic Model for Network Virus Protection
Biocomputing Model Using Tripartite Synapses Provides Reliable Neuronal Logic Gating with Spike Pattern Diversity
Design Priorities in Digital Gateways: A Comparative Study of Authentication and Usability in Academic Library Alliances
Physics-Guided Spoof Trace Disentanglement for Generic Face Anti-Spoofing
Towards a unified nonlocal, peridynamics framework for the coarse-graining of molecular dynamics data with fractures
Training Convolutional Networks with Web Images
High Accuracy Classification of Parkinson's Disease through Shape Analysis and Surface Fitting in 123 I-Ioflupane SPECT Imaging
Path Planning with Divergence-Based Distance Functions
Nonlinear Quantum Neuron: A Fundamental Building Block for Quantum Neural Networks
Synchronisation in TCP networks with Drop-Tail Queues
Adapformer: Adaptive Channel Management for Multivariate Time Series Forecasting