yusuke1997/dblp-id-title huggingface dataset:
NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection
Trustworthiness Evaluations of Search Results: The Impact of Rank and Misinformation
Distributed Compression for the Uplink of a Backhaul-Constrained Coordinated Cellular Network
Mitigating the Influence of Domain Shift in Skin Lesion Classification: A Benchmark Study of Unsupervised Domain Adaptation Methods on Dermoscopic Images
Stabilized Neural Ordinary Differential Equations for Long-Time Forecasting of Dynamical Systems
Towards Intelligent Context-Aware 6G Security
HY-MT1.5 Technical Report
Model Selection Through Sparse Maximum Likelihood Estimation
Limits on the Robustness of MIMO Joint Source-Channel Codes
Leveraging Time Distortion for seamless Navigation into Data Space-Time Continuum
A Simple Approach to Adversarial Robustness in Few-shot Image Classification
Discovery and Separation of Features for Invariant Representation Learning
Behaviour Planning: A Toolkit for Diverse Planning
MetaAID: A Flexible Framework for Developing Metaverse Applications via AI Technology and Human Editing
In-Contextual Bias Suppression for Large Language Models
Large Language Models Are Not Abstract Reasoners
Binary Reconstruction Codes for Correcting One Deletion and One Substitution
An Explainable Machine Learning Approach for Age and Gender Estimation in Living Individuals Using Dental Biometrics
The consensus number of a shift register equals its width
Learning in Wilson-Cowan model for metapopulation
Symmetry classes of Hamiltonian cycles
WarmServe: Enabling One-for-Many GPU Prewarming for Multi-LLM Serving
Fast SceneScript: Accurate and Efficient Structured Language Model via Multi-Token Prediction
Optimal Distributed Broadcasting with Per-neighbor Queues in Acyclic Overlay Networks with Arbitrary Underlay Capacity Constraints
WEKA-Based: Key Features and Classifier for French of Five Countries
Advanced Artificial Intelligence Algorithms in Cochlear Implants: Review of Healthcare Strategies, Challenges, and Perspectives
Break-for-Make: Modular Low-Rank Adaptations for Composable Content-Style Customization
JITScope: Interactive Visualization of JIT Compiler IR Transformations
When Code Crosses Borders: A Security-Centric Evaluation of LLM-based Code Translation
A review on different techniques used to combat the non-IID and heterogeneous nature of data in FL
Optimal Downlink Transmission for Cell Free SWIPT Massive MIMO Systems with Active Eavesdropping
Efficient Approximations for Many-Visits Multiple Traveling Salesman Problems
Portfolio Optimization: A Comparative Study
Network-Independent Incremental Passivity Conditions for Grid-Forming Inverter Control
Emulation-based Stabilization for Networked Control Systems with Stochastic Channels
CUPCF: Combining Users Preferences in Collaborative Filtering for Better Recommendation
Nonparametric Ridge Estimation
Is Bigger Edit Batch Size Always Better? - An Empirical Study on Model Editing with Llama-3
Hierarchical Robust PCA for Scalable Data Quality Monitoring in Multi-level Aggregation Pipelines
Information Seeking and Communication among International Students on Reddit
Your Diffusion Model is Secretly a Certifiably Robust Classifier
Performances of Low Temperature Radiant Heating Systems
Harmonic Convolutional Networks based on Discrete Cosine Transform
Limits of Machine Learning for Automatic Vulnerability Detection
Reducing Message Collisions in Sensing-based Semi-Persistent Scheduling (SPS) by Using Reselection Lookaheads in Cellular V2X
Positive-unlabeled Learning for Cell Detection in Histopathology Images with Incomplete Annotations
Var-CNN and DynaFlow: Improved Attacks and Defenses for Website Fingerprinting
On-site Noise Exposure technique for noise-robust machine fault classification
Runtime Software Patching: Taxonomy, Survey and Future Directions
Multi-Label Scene Classification in Remote Sensing Benefits from Image Super-Resolution
Contrastive Continual Multi-view Clustering with Filtered Structural Fusion
Adversarial Multi-Binary Neural Network for Multi-class Classification
White Paper: Radio y Redes Cognitivas
Partitioning an interval graph into subgraphs with small claws
On the Intensity-based Inversion Method for Quantitative Quasi-Static Elastography
On Differentially Private Filtering for Event Streams
Performance Analysis of Wireless Powered Communication with Finite/Infinite Energy Storage
Speaker Change Detection for Transformer Transducer ASR
Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation
Novel Deep Learning Pipeline for Automatic Weapon Detection
Spatiotemporal Traffic Prediction in Distributed Backend Systems via Graph Neural Networks
Operand Quant: A Single-Agent Architecture for Autonomous Machine Learning Engineering
Supervised Learning-enhanced Multi-Group Actor Critic for Live-stream Recommendation
A unifying framework for perturbative exponential factorizations
Combination of Hyperband and Bayesian Optimization for Hyperparameter Optimization in Deep Learning
Multimodal Classification via Modal-Aware Interactive Enhancement
Exact counting of Euler Tours for generalized series-parallel graphs
CML-MOTS: Collaborative Multi-task Learning for Multi-Object Tracking and Segmentation
Less is more: Probabilistic reduction is best explained by small-scale predictability measures
Denoising Auto-encoder with Recurrent Skip Connections and Residual Regression for Music Source Separation
Specification and Verification with the TLA+ Trifecta: TLC, Apalache, and TLAPS
Free software, Open source software, licenses. A short presentation including a procedure for research software and data dissemination
Arboricity, h-Index, and Dynamic Algorithms
Improved direct sum theorem in classical communication complexity
Is There a Proficiency-Universal Language?
End-to-end training of time domain audio separation and recognition
RPSE: Reification as Paradigm of Software Engineering
DeepCrawl: Deep Reinforcement Learning for Turn-based Strategy Games
Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures
An Introduction to Mechanized Reasoning
A discrete event system specification (DEVS)-based model of consanguinity
A Probability Distribution Strategy with Efficient Clause Selection for Hard Max-SAT Formulas
Long-Term Image Boundary Extrapolation
Data-Free Likelihood-Informed Dimension Reduction of Bayesian Inverse Problems
Kernel vs. Kernel: Exploring How the Data Structure Affects Neural Collapse
Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction
Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery
Solar Flare Prediction Using Long Short-term Memory (LSTM) and Decomposition-LSTM with Sliding Window Pattern Recognition
Minimum Complexity Pursuit: Stability Analysis
Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization
Tyche: Stochastic In-Context Learning for Medical Image Segmentation
Visualizing Spatial Point Clouds: A Task-Oriented Taxonomy
Prediction of Adverse Biological Effects of Chemicals Using Knowledge Graph Embeddings
Do you comply with AI? - Personalized explanations of learning algorithms and their impact on employees' compliance behavior
Explainable Binary Classification of Separable Shape Ensembles
EchoFlow: A Foundation Model for Cardiac Ultrasound Image and Video Generation
OmniMotion-X: Versatile Multimodal Whole-Body Motion Generation
Algorithmic failure as a humanities methodology: machine learning's mispredictions identify rich cases for qualitative analysis
Polynomial Precision Dependence Solutions to Alignment Research Center Matrix Completion Problems
Unsupervised Domain Adaptation Network with Category-Centric Prototype Aligner for Biomedical Image Segmentation
An Optimized Signal Processing Pipeline for Syllable Detection and Speech Rate Estimation
Learning Minimax Estimators via Online Learning
Fin ray-inspired, Origami, Small Scale Actuator for Fin Manipulation in Aquatic Bioinspired Robots
On the Multi-Robber Damage Number
Tracing the Flow of Knowledge From Science to Technology Using Deep Learning
Efficient and Mathematically Robust Operations for Certified Neural Networks Inference
Good Artists Copy, Great Artists Steal: Model Extraction Attacks Against Image Translation Generative Adversarial Networks
TLOB: A Novel Transformer Model with Dual Attention for Stock Price Trend Prediction with Limit Order Book Data
Automated Deepfake Detection
An Efficient Automatic Attendance System Using Fingerprint Reconstruction Technique
A PSPACE-complete Graph Nim
Quantum-Optimized Selective State Space Model for Efficient Time Series Prediction
The disruption index suffers from citation inflation and is confounded by shifts in scholarly citation practice
Working mechanism of Eternalblue and its application in ransomworm
COPHY: Counterfactual Learning of Physical Dynamics
A Krasnoselskii-Mann Proximity Algorithm for Markowitz Portfolios with Adaptive Expected Return Level
Generalization of generative model for neuronal ensemble inference method
AI for operational methane emitter monitoring from space
Non-verbal information in spontaneous speech - towards a new framework of analysis
Artism: AI-Driven Dual-Engine System for Art Generation and Critique
Exploring Model Kinship for Merging Large Language Models
On multiplicative automatic sequences
Probability Trajectory: One New Movement Description for Trajectory Prediction
Robust and Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents
Token Economics in Real-Life: Cryptocurrency and Incentives Design for Insolar Blockchain Network
Distribution alignment based transfer fusion frameworks on quantum devices for seeking quantum advantages
Feature Extraction from Double Task Timed Up and Go Signals Applied to the Identification of Elderly Fallers
Reward-modulated learning using spiking neural networks for vehicle lateral control
Zero-Shot Voice Style Transfer with Only Autoencoder Loss
Learning Similarity between Scene Graphs and Images with Transformers
Adiabatic quantum optimization fails for random instances of NP-complete problems
Hybrid OCR-LLM Framework for Enterprise-Scale Document Information Extraction Under Copy-heavy Task
TinyR1-32B-Preview: Boosting Accuracy with Branch-Merge Distillation
Competitive-Ratio Approximation Schemes for Minimizing the Makespan in the Online-List Model
Transformer-based Models of Text Normalization for Speech Applications
Overcoming Data Scarcity in Generative Language Modelling for Low-Resource Languages: A Systematic Review
Semantic Outlier Removal with Embedding Models and LLMs
States and channels in quantum mechanics without complex numbers
Generalizable Hierarchical Skill Learning via Object-Centric Representation
First-order definable string transformations
A Survey on Deep Learning Techniques for Stereo-based Depth Estimation
Look a Group at Once: Multi-Slide Modeling for Survival Prediction
MR-LDM - The Merge-Reactive Longitudinal Decision Model: Game Theoretic Human Decision Modeling for Interactive Sim Agents
SafeInt: Shielding Large Language Models from Jailbreak Attacks via Safety-Aware Representation Intervention
Evolution of Kernels: Automated RISC-V Kernel Optimization with Large Language Models
Collapsing Threads Safely with Soft Invariants
Linear Temporal Logic for Regular Cost Functions
Atrous Convolutional Neural Network (ACNN) for Biomedical Semantic Segmentation with Dimensionally Lossless Feature Maps
Extreme-Scale De Novo Genome Assembly
YesBut: A High-Quality Annotated Multimodal Dataset for evaluating Satire Comprehension capability of Vision-Language Models
Semi-supervised Zero-Shot Learning by a Clustering-based Approach
Citation algorithms for identifying research milestones driving biomedical innovation
Driver-Based Adaptation of Vehicular Ad Hoc Networks for Design of Active Safety Systems
"Just a little bit on the outside for the whole time": Social belonging confidence and the persistence of Machine Learning and Artificial Intelligence students
pyBibX - A Python Library for Bibliometric and Scientometric Analysis Powered with Artificial Intelligence Tools
2CoBel : An Efficient Belief Function Extension for Two-dimensional Continuous Spaces
A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision
WordSig: QR streams enabling platform-independent self-identification that's impossible to deepfake
Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression
Training-Free Style and Content Transfer by Leveraging U-Net Skip Connections in Stable Diffusion 2
Error estimation of the Relaxation Finite Difference Scheme for the nonlinear Schrödinger Equation
Trending Videos: Measurement and Analysis
Contextual Equivalence for Alternation and Urgency
Is Space a Stronger Resource than Time? Positive Answer for the Nondeterministic at-Least-Quadratic Time Case
Statistical and Topological Summaries Aid Disease Detection for Segmented Retinal Vascular Images
Moving Matter: Efficient Reconfiguration of Tile Arrangements by a Single Active Robot
A Method for Integrating Utility Analysis into an Expert System for Design Evaluation
SiamPolar: Semi-supervised Realtime Video Object Segmentation with Polar Representation
Automated Mobile Sensing Strategies Generation for Human Behaviour Understanding
An investigation into language complexity of World-of-Warcraft game-external texts
Creating Large Language Model Resistant Exams: Guidelines and Strategies
Examining Older Adults' Information Exposure, Wellbeing, and Adherence to Protective Measures During the COVID-19 Pandemic
Bounded First-Class Universe Levels in Dependent Type Theory
RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models
Generation and Evaluation in the Human Invention Process through the Lens of Game Design
PyMGRIT: A Python Package for the parallel-in-time method MGRIT
SynLang and Symbiotic Epistemology: A Manifesto for Conscious Human-AI Collaboration
Embedding graphs into embedded graphs
PairVDN - Pair-wise Decomposed Value Functions
Collaborative learning model with virtual team in ubiquitous learning environment using creative problem solving process
On the Generalization of Kitaev Codes as Generalized Bicycle Codes
Unfolding cubes: nets, packings, partitions, chords
Group colocation behavior in technological social networks
Discovery of False Data Injection Schemes on Frequency Controllers with Reinforcement Learning
Are Large Vision Language Models Truly Grounded in Medical Images? Evidence from Italian Clinical Visual Question Answering
MMR: Evaluating Reading Ability of Large Multimodal Models
Simple Semi-Distributed Lifetime Maximizing Strategy via Power Allocation in Collaborative Beamforming for Wireless Sensor Networks
Explainable Anomaly Detection for Industrial Control System Cybersecurity
Quantifying Aleatoric and Epistemic Dynamics Uncertainty via Local Conformal Calibration
AI in Education: Rationale, Principles, and Instructional Implications
A Computational Approach to Relative Aesthetics
Surface finite element approximation of parabolic SPDEs with Whittle-Matérn noise
Differentiable Computational Geometry for 2D and 3D machine learning
Under-approximation of the Greatest Fixpoints in Real-Time System Verification
Learning in Audio-visual Context: A Review, Analysis, and New Perspective
Adaptive World Models: Learning Behaviors by Latent Imagination Under Non-Stationarity
Neuroscore: A Brain-inspired Evaluation Metric for Generative Adversarial Networks
Invariants of Self-Intersected and Inversive N-Periodics in the Elliptic Billiard
Model Cascades for Efficient Image Search
Knowledge Representation via Joint Learning of Sequential Text and Knowledge Graphs
Intermittent Demand Forecasting with Renewal Processes
Greedy Layer Pruning: Decreasing Inference Time of Transformer Models
Hybridized Threshold Clustering for Massive Data
EasyTransfer - A Simple and Scalable Deep Transfer Learning Platform for NLP Applications
Book-Ahead & Supply Management for Ridesourcing Platforms
Emotion in Reinforcement Learning Agents and Robots: A Survey
Generalized twisted centralizer codes
ANTNets: Mobile Convolutional Neural Networks for Resource Efficient Image Classification
Exploring Programmable Self-Assembly in Non-DNA based Molecular Computing
Differential Distributed Space-Time Coding with Imperfect Synchronization in Frequency-Selective Channels
NEAT: Neighborhood-Guided, Efficient, Autoregressive Set Transformer for 3D Molecular Generation
Predictive Probability Density Mapping for Search and Rescue Using An Agent-Based Approach with Sparse Data
Artificial intelligence in medicine and healthcare: a review and classification of current and near-future applications and their ethical and social Impact
Mass testing and proactiveness affect epidemic spreading
RMSE-ELM: Recursive Model based Selective Ensemble of Extreme Learning Machines for Robustness Improvement
GMD-Based Hybrid Precoding For Millimeter-Wave Massive MIMO Systems
Dataset Augmentation and Dimensionality Reduction of Pinna-Related Transfer Functions
Mechanism Design for Locating Facilities with Capacities with Insufficient Resources
A Consistent Independence Test for Multivariate Time-Series
On Correlating Factors for Domain Adaptation Performance
MMGL: Multi-Scale Multi-View Global-Local Contrastive learning for Semi-supervised Cardiac Image Segmentation
Towards Automated Evaluation of Explanations in Graph Neural Networks
On Embeddings in Relational Databases
MMDuet2: Enhancing Proactive Interaction of Video MLLMs with Multi-Turn Reinforcement Learning
Hybrid Optical and Electrical Network Flows Scheduling in Cloud Data Centres
VoiceLens: Controllable Speaker Generation and Editing with Flow
Audo-Sight: Enabling Ambient Interaction For Blind And Visually Impaired Individuals
PixPerfect: Seamless Latent Diffusion Local Editing with Discriminative Pixel-Space Refinement
Generative Large Language Models for Knowledge Representation: A Systematic Review of Concept Map Generation
FRIGATE: Frugal Spatio-temporal Forecasting on Road Networks
Query Matrices for Retrieving Binary Vectors Based on the Hamming Distance Oracle
Object grasping planning for the situation when soft and rigid objects are mixed together
Mitigating Approximate Memorization in Language Models via Dissimilarity Learned Policy
The FFSVC 2020 Evaluation Plan
A Constant Approximation Algorithm for Sequential No-Substitution k-Median Clustering under a Random Arrival Order
Estimating smooth and sparse neural receptive fields with a flexible spline basis
Structural Abstraction and Selective Refinement for Formal Verification
Overlap-free Drawing of Generalized Pythagoras Trees for Hierarchy Visualization
New Approaches and Trends in the Philosophy of Educational Technology for Learning and Teaching Environments
Multiuser Scheduling for Simultaneous Wireless Information and Power Transfer Systems
Adversarial Examples Generation for Reducing Implicit Gender Bias in Pre-trained Models
Data-driven Piecewise Affine Decision Rules for Stochastic Programming with Covariate Information
Scaling Generative Verifiers For Natural Language Mathematical Proof Verification And Selection
Modeling Label Semantics Improves Activity Recognition
Les Houches Lectures on Deep Learning at Large & Infinite Width
Large-scale Optimization with Linear Equality Constraints using Reduced Compact Representation
Aerodynamic Data Fusion Towards the Digital Twin Paradigm
EPA-RIMM: A Framework for Dynamic SMM-based Runtime Integrity Measurement
EventFlow: Forecasting Continuous-Time Event Data with Flow Matching
When Mitigating Bias is Unfair: A Comprehensive Study on the Impact of Bias Mitigation Algorithms
Decipherment-Aware Multilingual Learning in Jointly Trained Language Models
Rational Nonmonotonic Reasoning
Real-time Peer-to-Peer Botnet Detection Framework based on Bayesian Regularized Neural Network
A Smart Approach for GPT Cryptosystem Based on Rank Codes
Secure and Storage-Efficient Deep Learning Models for Edge AI Using Automatic Weight Generation
Employing Social Media to Improve Mental Health Outcomes
Discrimination and Class Imbalance Aware Online Naive Bayes
Estimating MRI Image Quality via Image Reconstruction Uncertainty
Efficient Neural Network Approaches for Leather Defect Classification
Towards an Open Science Platform for the Evaluation of Data Fusion
Morphological Detector for Multilevel Signals in epsilon-Noise
Neuro-Symbolic Learning for Galois Groups: Unveiling Probabilistic Trends in Polynomials
An efficient numerical method based on exponential B-splines for time-fractional Black-Scholes equation governing European options
Understanding Data Influence with Differential Approximation
Late Breaking Results: New Computational Results and Hardware Prototypes for Oscillator-based Ising Machines
Beyond AME: A Novel Connection between Quantum Secret Sharing Schemes and k -Uniform States
Authorship Identification of Source Code Segments Written by Multiple Authors Using Stacking Ensemble Method
DBSCAN-based Vehicle Clustering and UAV Placement for NOMA-based Resource Management in Cellular V2X Communications
On dually flat general (α, β)-metrics
Vec2Instance: Parameterization for Deep Instance Segmentation
On the Difference Between the Information Bottleneck and the Deep Information Bottleneck
An OvS-MultiObjective Algorithm Approach for Lane Reversal Problem
In Search of the Real Inductive Bias: On the Role of Implicit Regularization in Deep Learning
Rethinking low extra delay background transport protocols
Adjoint Sensitivities for the Optimization of Nonlinear Structural Dynamics via Spectral Submanifolds
ScanGAN360: A Generative Model of Realistic Scanpaths for 360$^{\circ}$ Images
An ultraweak variational method for parameterized linear differential-algebraic equations
Coordinated Multi-Neighborhood Learning on a Directed Acyclic Graph
Collision Prediction and Prevention in Contact Sports Using RFID tags and Haptic Feedback
UniChange: Unifying Change Detection with Multimodal Large Language Model
Koopman-Assisted Reinforcement Learning
A Framework for Specific Term Recommendation Systems
The Limits of Graph Samplers for Training Inductive Recommender Systems: Extended results
ProtoFold Neighborhood Inspector
SATBA: An Invisible Backdoor Attack Based On Spatial Attention
Cross-Document Cross-Lingual Natural Language Inference via RST-enhanced Graph Fusion and Interpretability Prediction
Product theorems via semidefinite programming
TransferLight: Zero-Shot Traffic Signal Control on any Road-Network
Towards Combinatorial Interpretability of Neural Computation
Control of Complex Maneuvers for a Quadrotor UAV using Geometric Methods on SE(3)
Consensus-based Distributed Intentional Controlled Islanding of Power Grids
DeepFolio: Convolutional Neural Networks for Portfolios with Limit Order Book Data
OAAE: Adversarial Autoencoders for Novelty Detection in Multi-modal Normality Case via Orthogonalized Latent Space
Encrypted-State Quantum Compilation Scheme Based on Quantum Circuit Obfuscation
Maximizing Stylistic Control and Semantic Accuracy in NLG: Personality Variation and Discourse Contrast
Mobile Learning Environment System (MLES): The Case of Android-based Learning Application on Undergraduates' Learning
Measuring User Perceived Security of Mobile Banking Applications
A margin-based replacement for cross-entropy loss
Practical MIMO-NOMA: Low Complexity & Capacity-Approaching Solution
Recursive Association Rule Mining
What do Compressed Large Language Models Forget? Robustness Challenges in Model Compression
Ground-R1: Incentivizing Grounded Visual Reasoning via Reinforcement Learning
Alamouti OFDM/OQAM systems with time reversal technique
Potentials and Economics of Residential Thermal Loads Providing Regulation Reserve
Societal Attitudes Toward Service Robots: Adore, Abhor, Ignore, or Unsure?
Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning
A Publicly Available Cross-Platform Lemmatizer for Bulgarian
Relation Extraction as Two-way Span-Prediction
Cross-Domain Malware Detection via Probability-Level Fusion of Lightweight Gradient Boosting Models
Recurrent Soft Attention Model for Common Object Recognition