yusuke1997/dblp-id-title huggingface dataset:
Sparse Random Matrices for Dimensionality Reduction
Automatic breast cancer grading in lymph nodes using a deep neural network
A Notebook Format for the Holistic Design of Embedded Systems (Tool Paper)
Modeling and Efficient Cancellation of Nonlinear Self-Interference in MIMO Full-Duplex Transceivers
Proceedings First International Workshop on Focusing, WoF 2015, Suva, Fiji, 23rd November 2015
Active Integrity Constraints and Revision Programming
Training a code-switching language model with monolingual data
Fast and Accurate Likelihood Ratio Based Biometric Comparison in the Encrypted Domain
Hybrid Trilinear and Bilinear Programming for Aligning Partially Overlapping Point Sets
A Study on Altering the Latent Space of Pretrained Text to Speech Models for Improved Expressiveness
CASPER: Contrastive Approach for Smart Ponzi Scheme Detecter with More Negative Samples
ASV Station Keeping under Wind Disturbances using Neural Network Simulation Error Minimization Model Predictive Control
Semantic Referee: A Neural-Symbolic Framework for Enhancing Geospatial Semantic Segmentation
Bloom maps
Pragmatic Heterogeneous Collaborative Perception via Generative Communication Mechanism
The dynamics of belief: continuously monitoring and visualising complex systems
Valid Explanations for Learning to Rank Models
Non-Singular Assembly-mode Changing Motions for 3-RPR Parallel Manipulators
Sufficient and Necessary Conditions for Eckart-Young like Result for Tubal Tensors
Dense graphs with scale-free feature
Structural Reinforcement Learning for Heterogeneous Agent Macroeconomics
Parameter Identification for Partial Differential Equations with Spatiotemporal Varying Coefficients
DJXPerf: Identifying Memory Inefficiencies via Object-centric Profiling for Java
HDFD - A High Deformation Facial Dynamics Benchmark for Evaluation of Non-Rigid Surface Registration and Classification
Vietnamese Hate and Offensive Detection using PhoBERT-CNN and Social Media Streaming Data
Breast lesion segmentation in ultrasound images with limited annotated data
Introduction to the theory of generalized locally Toeplitz sequences and its applications
GMM: Delving into Gradient Aware and Model Perceive Depth Mining for Monocular 3D Detection
Capturing Complex Spatial-Temporal Dependencies in Traffic Forecasting: A Self-Attention Approach
Recognizing weighted means in geodesic spaces
JiraiBench: A Bilingual Benchmark for Evaluating Large Language Models' Detection of Human Self-Destructive Behavior Content in Jirai Community
La Furca: Iterative Context-Aware End-to-End Monaural Speech Separation Based on Dual-Path Deep Parallel Inter-Intra Bi-LSTM with Attention
On a New Notion of Partial Refinement
Dealing with Stochasticity in Biological ODE Models
Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models
Learning What to Memorize: Using Intrinsic Motivation to Form Useful Memory in Partially Observable Reinforcement Learning
Verification of an industrial asynchronous leader election algorithm using abstractions and parametric model checking
IR Models and the COVID-19 Pandemic: A Comparative Study of Performance and Challenges
Spatio-Temporal Analysis of Concurrent Networks
AL-Bench: A Benchmark for Automatic Logging
Artificial Intelligence in the Service of Entrepreneurial Finance: Knowledge Structure and the Foundational Algorithmic Paradigm
Anti-patterns in Students' Conditional Statements
Recent Advances and New Guidelines on Hyperspectral and Multispectral Image Fusion
Novelty Detection via Network Saliency in Visual-based Deep Learning
clusterNOR: A NUMA-Optimized Clustering Framework
Modeling and Simulation of Passenger Traffic in a National Airport
Differentially Private Projected Histograms of Multi-Attribute Data for Classification
Mining Healthcare Procurement Data Using Text Mining and Natural Language Processing - Reflection From An Industrial Project
Automatic Story Construction from News Articles in an Online Fashion
CDeFuse: Continuous Decomposition for Infrared and Visible Image Fusion
Convergence analysis for an implementable scheme to solve the linear-quadratic stochastic optimal control problem with stochastic wave equation
DiffusionFF: Face Forgery Detection via Diffusion-based Artifact Localization
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective
A Mathematical Abstraction for Balancing the Trade-off Between Creativity and Reality in Large Language Models
Robotics for poultry farming: challenges and opportunities
Retraction and Generalized Extension of Computing with Words
Effective resolution of singularities
Learning cosmology and clustering with cosmic graphs
On Intersecting Polygons
How Important is Weight Symmetry in Backpropagation?
AI-enabled Efficient and Safe Food Supply Chain
Learning to Solve Soft-Constrained Vehicle Routing Problems with Lagrangian Relaxation
Instance-Prototype Affinity Learning for Non-Exemplar Continual Graph Learning
Non-existence of a short algorithm for multiplication of 3×3 matrices with group S 4 ×S 3
A Comparative Analysis of Identifier Schemes: UUIDv4, UUIDv7, and ULID for Distributed Systems
Efficient numerical room acoustic simulations with parametrized boundaries using the spectral element and reduced basis method
Towards Segmenting Everything That Moves
Winsor-CAM: Human-Tunable Visual Explanations from Deep Networks via Layer-Wise Winsorization
WhiSQA: Non-Intrusive Speech Quality Prediction Using Whisper Encoder Features
On the Robustness of Machine Learning Models in Predicting Thermodynamic Properties: a Case of Searching for New Quasicrystal Approximants
A Novel Self-Evolution Framework for Large Language Models
SE(3)-Equivariant Reconstruction from Light Field
Refining the Responses of LLMs by Themselves
Nonmyopic Multiclass Active Search for Diverse Discovery
When Machine Learning Gets Personal: Understanding Fairness of Personalized Models
Noise-response Analysis for Rapid Detection of Backdoors in Deep Neural Networks
GeneVA: A Dataset of Human Annotations for Generative Text to Video Artifacts
Transferring Cross-domain Knowledge for Video Sign Language Recognition
The Ruzsa divergence for random elements in locally compact abelian groups
Green Interference Based Symbiotic Security in Integrated Satellite-terrestrial Communications
Public Evaluation on Potential Social Impacts of Fully Autonomous Cybernetic Avatars for Physical Support in Daily-Life Environments: Large-Scale Demonstration and Survey at Avatar Land
Jailbreaking Text-to-Image Models with LLM-Based Agents
A New Approach to Linear Estimation Problem in Multi-user Massive MIMO Systems
Energy stability and error estimates of a maximum bound principle preserving scheme for the dynamic Ginzburg-Landau equations of superconductivity
The Extractive-Abstractive Spectrum: Uncovering Verifiability Trade-offs in LLM Generations
Domain-specific Learning of Multi-scale Facial Dynamics for Apparent Personality Traits Prediction
TStarBot-X: An Open-Sourced and Comprehensive Study for Efficient League Training in StarCraft II Full Game
On Higher-Order Cryptography (Long Version)
Does P=NP?
Multimodal Attention for Neural Machine Translation
Typed Closure Conversion for the Calculus of Constructions
Embed2Detect: Temporally Clustered Embedded Words for Event Detection in Social Media
QuXAI: Explainers for Hybrid Quantum Machine Learning Models
A p-adaptive, implicit-explicit mixed finite element method for reaction-diffusion problems
Uncertainty Driven Bottleneck Attention U-net for OAR Segmentation
Mixture of Experts-augmented Deep Unfolding for Activity Detection in IRS-aided Systems
Asymmetric Co-Teaching for Unsupervised Cross Domain Person Re-Identification
Efficient data-driven regression for reduced-order modeling of spatial pattern formation
Low-Complexity Reduced-Rank Beamforming Algorithms
Impact of precedence constraints on complexity of scheduling problems: a survey
Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation
Revisiting Single Image Reflection Removal In the Wild
Enhancing Bangla Fake News Detection Using Bidirectional Gated Recurrent Units and Deep Learning Techniques
The Empirical Impact of Data Sanitization on Language Models
Automatic Infectious Disease Classification Analysis with Concept Discovery
Rep3D: Re-parameterize Large 3D Kernels with Low-Rank Receptive Modeling for Medical Imaging
A Fresh Approach to Evaluate Performance in Distributed Parallel Genetic Algorithms
On the Distribution of Partially Symmetric Codes for Automorphism Ensemble Decoding
JITA4DS: Disaggregated execution of Data Science Pipelines between the Edge and the Data Centre
A Reproducible, Scalable Pipeline for Synthesizing Autoregressive Model Literature
On the number of digons in arrangements of pairwise intersecting circles
Adaptive speed planning for Unmanned Vehicle Based on Deep Reinforcement Learning
Machine Learning-Driven Optimization of TPMS Architected Materials Using Simulated Annealing
Autoregressive Renaissance in Neural PDE Solvers
Caracterização de tempos de ida-e-volta na Internet
Perceptual Taxonomy: Evaluating and Guiding Hierarchical Scene Reasoning in Vision-Language Models
The layer-wise L1 Loss Landscape of Neural Nets is more complex around local minima
Search for shortest paths based on a projective description of unweighted graphs
Distributed Multi-task APA over Adaptive Networks Based on Partial Diffusion
Epidemics in Multipartite Networks: Emergent Dynamics
FBERT: A Neural Transformer for Identifying Offensive Content
Computer Vision Modeling of the Development of Geometric and Numerical Concepts in Humans
Model of an oscillatory neural network with multilevel neurons for pattern recognition
ArxEval: Evaluating Retrieval and Generation in Language Models for Scientific Literature
Towards a Humanized Social-Media Ecosystem: AI-Augmented HCI Design Patterns for Safety, Agency & Well-Being
S3Net: Innovating Stereo Matching and Semantic Segmentation with a Single-Branch Semantic Stereo Network in Satellite Epipolar Imagery
MDDFNet: Mamba-based Dynamic Dual Fusion Network for Traffic Sign Detection
Principle "synthesis" for the solution of tasks of class NP
Efficient Large-scale Approximate Nearest Neighbor Search on the GPU
Visual Relationship Detection using Scene Graphs: A Survey
Amplifying Your Social Media Presence: Personalized Influential Content Generation with LLMs
Deep Q-Learning with Q-Matrix Transfer Learning for Novel Fire Evacuation Environment
State Estimation in Visual Inertial Autonomous Helicopter Landing Using Optimisation on Manifold
Hate Speech Detection on Vietnamese Social Media Text using the Bidirectional-LSTM Model
Fuzzy Bigraphs: An Exercise in Fuzzy Communicating Agents
A bibliometric methodology to unveil territorial inequities in the scientific wealth to combat COVID-19
How much does a treedepth modulator help to obtain polynomial kernels beyond sparse graphs?
Quantum computing approach to railway dispatching and conflict management optimization on single-track railway lines
MARS-Sep: Multimodal-Aligned Reinforced Sound Separation
Model checking for Process Rewrite Systems and a class of action - based regular properties
Unleashing the Potential of Mamba: Boosting a LiDAR 3D Sparse Detector by Using Cross-Model Knowledge Distillation
Efficient Communication over Complex Dynamical Networks
Efficient handoff for mass transit connectivity using IEEE 802.11
Every Node Counts: Self-Ensembling Graph Convolutional Networks for Semi-Supervised Learning
Polynomial-time probabilistic reasoning with partial observations via implicit learning in probability logics
Unsupervised Functional Data Analysis via Nonlinear Dimension Reduction
Combinatorial manifolds are Hamiltonian
SQL4NN: Validation and expressive querying of models as data
Graph Diffusion-Based AeBS Deployment and Resource Allocation for RSMA-Enabled URLLC Low-Altitude Economy Networks
Submap-based Pose-graph Visual SLAM: A Robust Visual Exploration and Localization System
AgentThink: A Unified Framework for Tool-Augmented Chain-of-Thought Reasoning in Vision-Language Models for Autonomous Driving
Neural Trajectory Analysis of Recurrent Neural Network In Handwriting Synthesis
Optimal soil sampling design based on the maxvol algorithm
Multi-center anatomical segmentation with heterogeneous labels via landmark-based models
Brainchop: Next Generation Web-Based Neuroimaging Application
Flow Matching based Sequential Recommender Model
Measure gradients, not activations! Enhancing neuronal activity in deep reinforcement learning
Few-shot adaptation for morphology-independent cell instance segmentation
Hide the Image in FC-DenseNets to another Image
MITRE ATT&CK Applications in Cybersecurity and The Way Forward
Soft Filtering: Guiding Zero-shot Composed Image Retrieval with Prescriptive and Proscriptive Constraints
Computationally Efficient State and Model Estimation via Interval Observers for Partially Unknown Systems
Preference fusion when the number of alternatives exceeds two: indirect scoring procedures
Sampling-Based Planning Under STL Specifications: A Forward Invariance Approach
More Generalized and Personalized Unsupervised Representation Learning In A Distributed System
Labels or Input? Rethinking Augmentation in Multimodal Hate Detection
On structural properties of trees with minimal atom-bond connectivity index II
Effects of data ambiguity and cognitive biases on the interpretability of machine learning models in humanitarian decision making
On Computing the Multiplicity of Short Cycles in Bipartite Graphs Using the Degree Distribution and the Spectrum of the Graph
Lossless Size Reduction for Integer Least Squares with Application to Sphere Decoding
Greedy routing on networks of mobile agents
Can Deep Learning be Applied to Model-Based Multi-Object Tracking?
Cello: Efficient Computer Systems Optimization with Predictive Early Termination and Censored Regression
RollupTheCrowd: Leveraging ZkRollups for a Scalable and Privacy-Preserving Reputation-based Crowdsourcing Platform
SYNTHEMPATHY: A Scalable Empathy Corpus Generated Using LLMs Without Any Crowdsourcing
Mitigating Biases in Toxic Language Detection through Invariant Rationalization
CN-Celeb: multi-genre speaker recognition
Reliability of fault-tolerant system architectures for automated driving systems
Detecting Safety Problems of Multi-Sensor Fusion in Autonomous Driving
MVP: Multimodality-guided Visual Pre-training
Spatio-Temporal Cluster-Triggered Encoding for Spiking Neural Networks
Efforts estimation of doctors annotating medical image
A Distributed and Elastic Aggregation Service for Scalable Federated Learning Systems
High-dimensional ridge regression with random features for non-identically distributed data with a variance profile
DiagramIR: An Automatic Pipeline for Educational Math Diagram Evaluation
Linear discriminant initialization for feed-forward neural networks
Fed-GLOSS-DP: Federated, Global Learning using Synthetic Sets with Record Level Differential Privacy
Multi-Modal Chorus Recognition for Improving Song Search
A Geometric Nash Approach in Tuning the Learning Rate in Q-Learning Algorithm
On the accept-reject mechanism for Metropolis-Hastings algorithms
The Devil behind the mask: An emergent safety vulnerability of Diffusion LLMs
Learning from Sparse Datasets: Predicting Concrete's Strength by Machine Learning
Overcoming Conflicting Data for Model Updates
Do Large Language Models (Really) Need Statistical Foundations?
A First Step to Convolutive Sparse Representation
Mitigating Bias in Facial Analysis Systems by Incorporating Label Diversity
Probabilistic algorithm for computing all local minimizers of Morse functions on a compact domain
Reachability-Based Confidence-Aware Probabilistic Collision Detection in Highway Driving
Beyond Score Changes: Adversarial Attack on No-Reference Image Quality Assessment from Two Perspectives
Some comments about CRC selection for the 5G NR specification
Temporally-Transferable Perturbations: Efficient, One-Shot Adversarial Attacks for Online Visual Object Trackers
Prime Implicant Explanations for Reaction Feasibility Prediction
Measures to Evaluate Generative Adversarial Networks Based on Direct Analysis of Generated Images
Quantum Organisational Readiness Levels
Minimum-latency Time-frequency Analysis Using Asymmetric Window Functions
Pairwise Comparison Network for Remote Sensing Scene Classification
Unraveling the graph structure of tabular datasets through Bayesian and spectral analysis
On Collaboration in Distributed Parameter Estimation with Resource Constraints
Ensemble learning using individual neonatal data for seizure detection
SoftNash: Entropy-Regularized Nash Games for Non-Fighting Virtual Fixtures
PECCO: A Profit and Cost-oriented Computation Offloading Scheme in Edge-Cloud Environment with Improved Moth-flame Optimisation
AILoRA: Function-Aware Asymmetric Initialization for Low-Rank Adaptation of Large Language Models
Generative Models for Reproducible Coronary Calcium Scoring
Datacenter Ethernet and RDMA: Issues at Hyperscale
DivMerge: A divergence-based model merging method for multi-tasking
Controlling complex policy problems: a multimethodological approach using system dynamics and network controllability
A Sequence of Inequalities among Difference of Symmetric Divergence Measures
A dataset for Computer-Aided Detection of Pulmonary Embolism in CTA images
AdaptThink: Reasoning Models Can Learn When to Think
Sparsification of the Alignment Path Search Space in Dynamic Time Warping
Detection of Wordpress Content Injection Vulnerability
MUFIN: Improving Neural Repair Models with Back-Translation
Optimal Consensus for Uncertain Multi-agent Systems by Output Feedbacks
Reversible Programming: A Case Study of Two String-Matching Algorithms
CLIP-RT: Learning Language-Conditioned Robotic Policies from Natural Language Supervision
RDFGraphGen: A Synthetic RDF Graph Generator based on SHACL Constraints
Learning 3D-aware Image Synthesis with Unknown Pose Distribution
A Framework for the Joint Optimization of Assignment and Pricing in Mobility-on-Demand Systems with Shared Rides
Descent & Landing Trajectory and Guidance Algorithms with Divert Capabilities for Moon Landing
On the importance of learning non-local dynamics for stable data-driven climate modeling: A 1D gravity wave-QBO testbed
BioDiffusion: A Versatile Diffusion Model for Biomedical Signal Synthesis
MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model?
Stabilizing Federated Learning under Extreme Heterogeneity with HeteRo-Select
Coordinated Communication and Inventory Optimization in Multi-Retailer Supply Chains
Comparative Analysis of Indicators for Multiobjective Diversity Optimization
Evolutionary Self-Replication as a Mechanism for Producing Artificial Intelligence
Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization
Power Minimization in Vehicular Cloud Architecture
Non-Convex Optimization with Spectral Radius Regularization
On the Optimality of Myopic Sensing in Multi-channel Opportunistic Access: the Case of Sensing Multiple Channels
Democratizing Pathology Co-Pilots: An Open Pipeline and Dataset for Whole-Slide Vision-Language Modelling
Color inference from semantic labeling for person search in videos
Visual Error Patterns in Multi-Modal AI: A Statistical Approach
Anomaly Detection in Networked Bandits
Monte Carlo Tree Search Based Tactical Maneuvering
Reflection Invariant and Symmetry Detection
MOABB: Trustworthy algorithm benchmarking for BCIs
DiCache: Let Diffusion Model Determine Its Own Cache
Increasing Performance And Sample Efficiency With Model-agnostic Interactive Feature Attributions
DomainATM: Domain Adaptation Toolbox for Medical Data Analysis
Development of modeling and control strategies for an approximated Gaussian process
Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar
Learning restricted Bayesian network structures
Multimodal surface defect detection from wooden logs for sawing optimization
Avoiding Abelian powers in binary words with bounded Abelian complexity
High-Dimensional Bayesian Optimization with Manifold Gaussian Processes
Non-spatial Probabilistic Condorcet Election Methodology
Responsible AI: Gender bias assessment in emotion recognition
A light-weight model to generate NDWI from Sentinel-1
One Hyper-Initializer for All Network Architectures in Medical Image Analysis
Benne: A Modular and Self-Optimizing Algorithm for Data Stream Clustering
A Japanese-Chinese Parallel Corpus Using Crowdsourcing for Web Mining
Predictive Analysis on Twitter: Techniques and Applications
Local Bandwidth Estimation via Mixture of Gaussian Processes
Static greedy: solving the apparent scalability-accuracy dilemma in influence maximization
MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model
Self-supervised 3D Point Cloud Completion via Multi-view Adversarial Learning
Multi-Speaker End-to-End Speech Synthesis
Hearing the clusters in a graph: A distributed algorithm
Who shapes crisis communication on Twitter? An analysis of influential German-language accounts during the COVID-19 pandemic
PeakWeather: MeteoSwiss Weather Station Measurements for Spatiotemporal Deep Learning
Assessment of ChatGPT for Engineering Statics Analysis
Wavelet-Based Dual-Branch Network for Image Demoireing
Technical Debts and Faults in Open-source Quantum Software Systems: An Empirical Study
Token-Hungry, Yet Precise: DeepSeek R1 Highlights the Need for Multi-Step Reasoning Over Speed in MATH
High Order Stochastic Graphlet Embedding for Graph-Based Pattern Recognition
A Case Where Interference Does Not Affect The Channel Dispersion
Using MM principles to deal with incomplete data in K-means clustering
Darboux-Frame-Based Parametrization for a Spin-Rolling Sphere on a Plane: A Nonlinear Transformation of Underactuated System to Fully-Actuated Model
VPPS-ART: An Efficient Implementation of Fixed-Size-Candidate-Set Adaptive Random Testing using Vantage Point Partitioning Strategy
Verifying Contracts for Perturbed Control Systems using Linear Programming
An Interpretable Power System Transient Stability Assessment Method with Expert Guiding Neural-Regression-Tree
Evaluating Overlapping Communities with the Conductance of their Boundary Nodes
Accelerate TarFlow Sampling with GS-Jacobi Iteration
Grasping Student: semi-supervised learning for robotic manipulation
Cascading Modular Network (CAM-Net) for Multimodal Image Synthesis
Towards Cognitive Routing based on Deep Reinforcement Learning
Network Coding Algorithms for Multi-Layered Video Broadcast
Exploring Variational Graph Auto-Encoders for Extract Class Refactoring Recommendation
DRIP: Discriminative Rotation-Invariant Pole Landmark Descriptor for 3D LiDAR Localization
Think Smart, Act SMARL! Analyzing Probabilistic Logic Driven Safety in Multi-Agent Reinforcement Learning
XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification
Computing Periods of Hypersurfaces
ZLeaks: Passive Inference Attacks on Zigbee based Smart Homes
Time-series Imputation of Temporally-occluded Multiagent Trajectories
Intelligence as a Measure of Consciousness
Physics-Informed Neural Networks for Source Inversion and Parameters Estimation in Atmospheric Dispersion
Communicative need modulates competition in language change
Solving Non-smooth Constrained Programs with Lower Complexity than 𝒪(1/ε): A Primal-Dual Homotopy Smoothing Approach
Enhancing nonnative speech perception and production through an AI-powered application
Object Retrieval and Localization in Large Art Collections using Deep Multi-Style Feature Fusion and Iterative Voting
DeepBillboard: Systematic Physical-World Testing of Autonomous Driving Systems
SimpleCall: A Lightweight Image Restoration Agent in Label-Free Environments with MLLM Perceptual Feedback
Hamming Distributions of Popular Perceptual Hashing Techniques
Distributed Global Optimization (DGO)
Found in Translation: Measuring Multilingual LLM Consistency as Simple as Translate then Evaluate
The Interior Inverse Electromagnetic Scattering for an Inhomogeneous Cavity
Big Data: Opportunities and Privacy Challenges
A Characterization of Entropy as a Universal Monoidal Natural Transformation