yusuke1997/dblp-id-title huggingface dataset:
K-means Segmentation Based-on Lab Color Space for Embryo Egg Detection
Sistema experto para el diagnóstico de enfermedades y plagas en los cultivos del arroz, tabaco, tomate, pimiento, maíz, pepino y frijol
Empowering Computing and Networks Convergence System with Distributed Cooperative Routing
Quantization for Low-Rank Matrix Recovery
Egocentric Video Description based on Temporally-Linked Sequences
Multimodal Subtask Graph Generation from Instructional Videos
Interference and Throughput in Aloha-based Ad Hoc Networks with Isotropic Node Distribution
Submodularity in Systems with Higher Order Consensus with Absolute Information
Protocol Models: Scaling Decentralized Training with Communication-Efficient Model Parallelism
The Good, the Bad, and the (Un)Usable: A Rapid Literature Review on Privacy as Code
Exploring the Impact of Word Prediction Assistive Features on Smartphone Keyboards for Blind Users
The hidden subgroup problem for infinite groups
Gradient Descent as a Shrinkage Operator for Spectral Bias
Modeling CSFs of B2C E-commerce Systems Using the Enterprise Architecture Approach
AudioToolAgent: An Agentic Framework for Audio-Language Models
Cascade of phase transitions in the training of Energy-based models
Design and Evaluation of Vision-based Head and Face Tracking Interfaces for Assistive Input
Square-Triangle Tilings: Lift & Flip to Sample?
Green Bin Packing
Adapting Pre-trained Language Models for Quantum Natural Language Processing
The Price of Anarchy in One-Sided Allocation Problems with Multi-Unit Demand Agents
Online learning with exponential weights in metric spaces
Learning More with Less: A Generalizable, Self-Supervised Framework for Privacy-Preserving Capacity Estimation with EV Charging Data
Maintaining The Humanity of Our Models
A cubic vertex-kernel for Trivially Perfect Editing
Volume Optimal Cycle: Tightest representative cycle of a generator on persistent homology
Iran's Stealth Internet Blackout: A New Model of Censorship
NeuGPT: Unified multi-modal Neural GPT
TAMBRIDGE: Bridging Frame-Centered Tracking and 3D Gaussian Splatting for Enhanced SLAM
RNN-Guard: Certified Robustness Against Multi-frame Attacks for Recurrent Neural Networks
How to Save Human Lives with Complexity Science
Topology of biological networks and reliability of information processing
Nonsingular Gaussian Conditionally Markov Sequences
Diverse Landmark Sampling from Determinantal Point Processes for Scalable Manifold Learning
Polynomial Stochastic Dynamical Indicators
Data-driven discovery of self-similarity using neural networks
Brain Functional Connectivity under Teleoperation Latency: a fNIRS Study
Heterogeneous Multi-Agent Reinforcement Learning via Mirror Descent Policy Optimization
Stochastic Geometry Models for Texture Synthesis of Machined Metallic Surfaces: Sandblasting and Milling
Community detection in networks with unobserved edges
Employing traditional machine learning algorithms for big data streams analysis: the case of object trajectory prediction
Arithmetics within the Linear Time Hierarchy
Prescriptive Process Monitoring: Quo Vadis?
Shortest Paths in Planar Graphs with Real Lengths in $O(n\log^2n/\log\log n)$ Time
A scalable event-driven spatiotemporal feature extraction circuit
Motif-2-12.7B-Reasoning: A Practitioner's Guide to RL Training Recipes
Apartness relations between propositions
Quantization-aware Neural Architectural Search for Intrusion Detection
A Study of Sindhi Related and Arabic Script Adapted languages Recognition
The Eclipsing Binaries via Artificial Intelligence. II. Need for Speed in PHOEBE Forward Models
There is No "apple" in Timeseries: Rethinking TSFM through the Lens of Invariance
On the Solvability of the {XOR} Problem by Spiking Neural Networks
Learning Driving Models with a Surround-View Camera System and a Route Planner
Teaching Software Engineering through Robotics
What Can You Do When You Have Zero Rewards During RL?
CUDA-PIM: End-to-End Integration of Digital Processing-in-Memory from High-Level C++ to Microarchitectural Design
Robust Vector Quantized-Variational Autoencoder
Deeplite Neutrino: An End-to-End Framework for Constrained Deep Learning Model Optimization
Focalized Contrastive View-invariant Learning for Self-supervised Skeleton-based Action Recognition
How do Quantifiers Affect the Quality of Requirements?
Electromagnetic Lens-focusing Antenna Enabled Massive MIMO: Performance Improvement and Cost Reduction
DataSafe: Copyright Protection with PUF Watermarking and Blockchain Tracking
Piecewise Approximations of Black Box Models for Model Interpretation
Fusing Models for Prognostics and Health Management of Lithium-Ion Batteries Based on Physics-Informed Neural Networks
From Trace to Line: LLM Agent for Real-World OSS Vulnerability Localization
Solving Sokoban using Hierarchical Reinforcement Learning with Landmarks
Sum Rate optimization for RIS-Aided RSMA system with Movable Antenna
Contact modelling and tactile data processing for robot skin
Synthetic Augmentation pix2pix using Tri-category Label with Edge structure for Accurate Segmentation architectures
Reproducibility Companion Paper:In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems
MVRoom: Controllable 3D Indoor Scene Generation with Multi-View Diffusion Models
RoCar: A Relationship Network-based Evaluation Method to Large Language Models
Potential-based reward shaping for learning to play text-based adventure games
Automatic semantic role labeling on non-revised syntactic trees of journalistic texts
Fully Non-Homogeneous Atmospheric Scattering Modeling with Convolutional Neural Networks for Single Image Dehazing
One Partition Approximating All 𝓁 p -norm Objectives in Correlation Clustering
A Human Computer Interaction Solution for Radiology Reporting: Evaluation of the Factors of Variation
IDAN: Image Difference Attention Network for Change Detection
Robust Automated Framework for COVID-19 Disease Identification from a Multicenter Dataset of Chest CT Scans
Verifying Probabilistic Correctness in Isabelle with pGCL
VMDiff: Visual Mixing Diffusion for Limitless Cross-Object Synthesis
Online Community Detection for Event Streams on Networks
A Bayesian approach to sparse channel estimation in OFDM systems
Attack Planning in the Real World
GEOcc: Geometrically Enhanced 3D Occupancy Network with Implicit-Explicit Depth Fusion and Contextual Self-Supervision
LocalRQA: From Generating Data to Locally Training, Testing, and Deploying Retrieval-Augmented QA Systems
Contextual Dual Learning Algorithm with Listwise Distillation for Unbiased Learning to Rank
Impact of Surface and Pore Characteristics on Fatigue Life of Laser Powder Bed Fusion Ti-6Al-4V Alloy Described by Neural Network Models
Elastic regularization in restricted Boltzmann machines: Dealing with $p\gg N$
Characteristic Topological Invariants
Achieving Skilled and Reliable Daily Probabilistic Forecasts of Wind Power at Subseasonal-to-Seasonal Timescales over France
Outage Probability of Overhearing Amplify-and-Forward Cooperative Relaying
A surface finite element method for computational modelling of cell blebbing
Imperative vs. Declarative Programming Paradigms for Open-Universe Scene Generation
LLM meets Vision-Language Models for Zero-Shot One-Class Classification
Information conservation relations for weak measurement and its reversal
Efficient Approximation Algorithms for Computing \emph{k} Disjoint Restricted Shortest Paths
Visualizing Communication on Social Media: Making Big Data Accessible
Toward Integrated Human-machine Intelligence for Civil Engineering: An Interdisciplinary Perspective
HyperDID: Hyperspectral Intrinsic Image Decomposition with Deep Feature Embedding
Mapping NP-hard and NP-complete optimisation problems to Quadratic Unconstrained Binary Optimisation problems
Compound Prototype Matching for Few-shot Action Recognition
A & B == B & A: Triggering Logical Reasoning Failures in Large Language Models
Naga: Vedic Encoding for Deep State Space Models
Sliding mode control with a neural network compensation scheme for electro-hydraulic systems
Personalized Federated Learning: A Meta-Learning Approach
MASNet: Improve Performance of Siamese Networks with Mutual-attention for Remote Sensing Change Detection Tasks
Relieving the Over-Aggregating Effect in Graph Transformers
Causal Structure Learning: a Combinatorial Perspective
Towards Reproducible Learning-based Compression
A Rate-Distortion view of human pragmatic reasoning
Some Best Practices in Operator Learning
Bayesian Inference and Learning in Nonlinear Dynamical Systems: A Framework for Incorporating Explicit and Implicit Prior Knowledge
Entropy approximations of algebraic matroids over finite fields
Crowdsourced Adaptive Surveys
Token-based Function Computation with Memory
Revisiting Privacy, Utility, and Efficiency Trade-offs when Fine-Tuning Large Language Models
Data augmentation versus noise compensation for x- vector speaker recognition systems in noisy environments
Datasets, Models, and Algorithms for Multi-Sensor, Multi-agent Autonomy Using AVstack
A Logical Approach to Cloud Federation
Finding Incompatibles Blocks for Reliable JPEG Steganalysis
Photometric Redshifts with Copula Entropy
Theory of Curriculum Learning, with Convex Loss Functions
Vericom: A Verification and Communication Architecture for IoT-based Blockchain
Automatic Design-Time Detection of Anomalies in Migrating Monolithic Applications to Microservices
HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization
Object-X: Learning to Reconstruct Multi-Modal 3D Object Representations
Early Acceptance Matching Game for User Association in 5G Cellular HetNet
Iterative Low-Rank Approximation for CNN Compression
Effective Optimization Criteria and Relay Selection Algorithms for Physical-Layer Security in Multiple-Antenna Relay Networks
Zero-Knowledge Authentication
Revisiting the matrix polynomial greatest common divisor
Asymptotic Improvements on the Exact Matching Distance for 2-parameter Persistence
Towards High-Resolution Alignment and Super-Resolution of Multi-Sensor Satellite Imagery
Explaining Concept Shift with Interpretable Feature Attribution
AI-Salesman: Towards Reliable Large Language Model Driven Telemarketing
Vision-Language Models Are Not Pragmatically Competent in Referring Expression Generation
Learning Linear Groups in Neural Networks
Language Models are Injective and Hence Invertible
Emergence of Chemotactic Strategies with Multi-Agent Reinforcement Learning
Enlightenment Period Improving DNN Performance
Identifiability of latent causal graphical models without pure children
Temporal-Anchor3DLane: Enhanced 3D Lane Detection with Multi-Task Losses and LSTM Fusion
LLMCode: Evaluating and Enhancing Researcher-AI Alignment in Qualitative Analysis
Fast Parallel-in-Time Quasi-Boundary Value Methods for Backward Heat Conduction Problems
NaturalEdit: Code Modification through Direct Interaction with Adaptive Natural Language Representation
A Coalition Formation Game Approach for Personalized Federated Learning
SparseMM: Head Sparsity Emerges from Visual Concept Responses in MLLMs
LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity
An adaptive central-upwind scheme on quadtree grids for variable density shallow water equations
Two-in-one: determinization and state reduction of fuzzy automata
Approximating High-Dimensional Earth Mover's Distance as Fast as Closest Pair
Compressing 1D Time-Channel Separable Convolutions using Sparse Random Ternary Matrices
On the uniform one-dimensional fragment
Forensic Log Based Detection For Keystroke Injection "BadUsb" Attacks
Explainable Hierarchical Deep Learning Neural Networks (Ex-HiDeNN)
Implicit Neural Representation for Video and Image Super-Resolution
Full Reference Screen Content Image Quality Assessment by Fusing Multi-level Structure Similarity
DiffRoll: Diffusion-based Generative Music Transcription with Unsupervised Pretraining Capability
Towards training Bilingual and Code-Switched Speech Recognition models from Monolingual data sources
AoECR: AI-ization of Elderly Care Robot
Universal Machine Learning Kohn-Sham Hamiltonian for Materials
A Freeform Dielectric Metasurface Modeling Approach Based on Deep Neural Networks
Formal Simulation and Visualisation of Hybrid Programs
Advances in Artificial Intelligence: Deep Intentions, Shallow Achievements
On the Expected Value of Buffer Size in IoT Devices Deploying REST HTTP
Guaranteeing Safety and Liveness of Unmanned Aerial Vehicle Platoons on Air Highways
BlueLM-2.5-3B Technical Report
Computing the Best Policy That Survives a Vote
Enhancing Memory Efficiency in Large Language Model Training Through Chronos-aware Pipeline Parallelism
Learn and Control while Switching: with Guaranteed Stability and Sublinear Regret
SAMO: A Lightweight Sharpness-Aware Approach for Multi-Task Optimization with Joint Global-Local Perturbation
A Comparative Study of Fusion Methods for SASV Challenge 2022
Hyperparameter Optimization with Neural Network Pruning
Coded Caching in Networks with Heterogeneous User Activity
The Projection Method for Reaching Consensus and the Regularized Power Limit of a Stochastic Matrix
Three Families of Projective Binary Linear Codes of at Most Four Weights
Behaviour Trees for Conversational Explanation Experiences
Task-Agnostic Contrastive Pretraining for Relational Deep Learning
Test-Time Steering for Lossless Text Compression via Weighted Product of Experts
A measurement-driven quantum algorithm for SAT: Performance guarantees via spectral gaps and measurement parallelization
MMBAttn: Max-Mean and Bit-wise Attention for CTR Prediction
On a Characterization of Spartan Graphs
ProM3E: Probabilistic Masked MultiModal Embedding Model for Ecology
Transformer-based Action recognition in hand-object interacting scenarios
Outlier detection on network flow analysis
A semantical approach to equilibria and rationality
Smart Library: Identifying Books in a Library using Richly Supervised Deep Scene Text Reading
Switchable Precision Neural Networks
A Random Subspace Technique That Is Resistant to a Limited Number of Features Corrupted by an Adversary
VideoRepair: Improving Text-to-Video Generation via Misalignment Evaluation and Localized Refinement
Semantic Query Reformulation in Social PDMS
Group Distributionally Robust Machine Learning under Group Level Distributional Uncertainty
Misplaced Subsequences Repairing with Application to Multivariate Industrial Time Series Data
Automating Data-Driven Modeling and Analysis for Engineering Applications using Large Language Model Agents
Source Separation for A Cappella Music
Compact Device Models for FinFET and Beyond
Universal Algebra and Effectful Computation
Curating Subject ID Labels using Keypoint Signatures
Behavior of digital sequences through exotic numeration systems
Behavioural Models for Group Communications
Faster Shortest Paths in Dense Distance Graphs, with Applications
The Canadian Traveller Problem on outerplanar graphs
Unobtrusive In-Situ Measurement of Behavior Change by Deep Metric Similarity Learning of Motion Patterns
SDN-based Runtime Security Enforcement Approach for Privacy Preservation of Dynamic Web Service Composition
Universal Masking is Urgent in the COVID-19 Pandemic: SEIR and Agent Based Models, Empirical Validation, Policy Recommendations
A Task Based Sensor-Centeric Model for overall Energy Consumption
Saliency Detection with Spaces of Background-based Distribution
Methods of computing deque sortable permutations given complete and incomplete information
Uplink Interference Analysis for Two-tier Cellular Networks with Diverse Users under Random Spatial Patterns
Distributed Data Processing Frameworks for Big Graph Data
Vanishing Point Guided Natural Image Stitching
Machine Learning and Artificial Intelligence in Next-Generation Wireless Network
Transfer Learning in CNNs Using Filter-Trees
Using Inverse Optimization to Learn Cost Functions in Generalized Nash Games
The Cosparse Analysis Model and Algorithms
Incremental Sense Weight Training for the Interpretation of Contextualized Word Embeddings
Using Large Language Models for a standard assessment mapping for sustainable communities
Channel, Trend and Periodic-Wise Representation Learning for Multivariate Long-term Time Series Forecasting
Random ReLU Neural Networks as Non-Gaussian Processes
Classification and comparison of license plates localization algorithms
HINT: Hierarchical Mixture Networks For Coherent Probabilistic Forecasting
AgentFacts: Universal KYA Standard for Verified AI Agent Metadata & Deployment
Exploring Dissatisfaction in Bus Route Reduction through LLM-Calibrated Agent-Based Modeling
Tabular Structure Detection from Document Images for Resource Constrained Devices Using A Row Based Similarity Measure
A Performance Study of Horizontally Explicit Vertically Implicit (HEVI) Time-Integrators for Non-Hydrostatic Atmospheric Models
Maneuvering and robustness issues in undirected displacement-consensus-based formation control
On optimal distinguishers for Planted Clique
Bounds for k-centers of point sets under L ∞ -bottleneck distance
Angles Don't Lie: Unlocking Training-Efficient RL Through the Model's Own Signals
OmniFill: Domain-Agnostic Form Filling Suggestions Using Multi-Faceted Context
Photorealistic Video Super Resolution
Mind-the-Glitch: Visual Correspondence for Detecting Inconsistencies in Subject-Driven Generation
A Survey of Machine Learning Algorithms for Detecting Ransomware Encryption Activity
Embodied Tree of Thoughts: Deliberate Manipulation Planning with Embodied World Model
Hiding Data in Colors: Secure and Lossless Deep Image Steganography via Conditional Invertible Neural Networks
Snort Intrusion Detection System with Intel Software Guard Extension (Intel SGX)
Characterizing Uncertainty in the Visual Text Analysis Pipeline
Semantic Edge-Cloud Communication for Real-Time Urban Traffic Surveillance with ViT and LLMs over Mobile Networks
A unifying approach to self-organizing systems interacting via conservation laws
Nonlinear Stability Assessment Of Type-4 Wind Turbines During Unbalanced Grid Faults Based On Reduced-Order Model
Computational and applied topology, tutorial
Multiterminal Secret Key Agreement with Nearly No Discussion
MAD: A Benchmark for Multi-Turn Audio Dialogue Fact-Checking
LRTuckerRep: Low-rank Tucker Representation Model for Multi-dimensional Data Completion
A Simple Heuristic for Bayesian Optimization with A Low Budget
Textureless Deformable Surface Reconstruction with Invisible Markers
A Proof Assistant Based Formalisation of Core Erlang
GTR: Gaussian Splatting Tracking and Reconstruction of Unknown Objects Based on Appearance and Geometric Complexity
DML-RAM: Deep Multimodal Learning Framework for Robotic Arm Manipulation using Pre-trained Models
On the definition of a general learning system with user-defined operators
Is Image-to-Image Translation the Panacea for Multimodal Image Registration? A Comparative Study
Breaking the Compression Ceiling: Data-Free Pipeline for Ultra-Efficient Delta Compression
IAD-R1: Reinforcing Consistent Reasoning in Industrial Anomaly Detection
MS-DGCNN++: A Multi-Scale Fusion Dynamic Graph Neural Network with Biological Knowledge Integration for LiDAR Tree Species Classification
Universality of population recovery patterns after disasters
Domain Gating Ensemble Networks for AI-Generated Text Detection
Loss Terms and Operator Forms of Koopman Autoencoders
Incorporating Real-world Noisy Speech in Neural-network-based Speech Enhancement Systems
Knowledge Distillation for Underwater Feature Extraction and Matching via GAN-synthesized Images
Divide and Conquer: Partitioning OSPF networks with SDN
ℓ 0 Minimization for Wavelet Frame Based Image Restoration
Two families of C1-Pk Fraeijs de Veubeke-Sander finite elements on quadrilateral meshes
Root Tracking for Rate-Distortion: Approximating a Solution Curve with Higher Implicit Multivariate Derivatives
Understanding When Graph Convolutional Networks Help: A Diagnostic Study on Label Scarcity and Structural Properties
EgoExoBench: A Benchmark for First- and Third-person View Video Understanding in MLLMs
Identification of Physical Properties in Acoustic Tubes Using Physics-Informed Neural Networks
Message recovery attack to NTRU using a lattice independent from the public key
Stability of the Kim-Milman flow map
Elly: A Real-Time Failure Recovery and Data Collection System for Robotic Manipulation
A Deep Neural Network Approach To Parallel Sentence Extraction
Better $s$-$t$-Tours by Gao Trees
Evolutionarily Stable Preferences Against Multiple Mutations
Provably Fair Federated Learning via Bounded Group Loss
Dialogue State Tracking with Pretrained Encoder for Multi-domain Trask-oriented Dialogue Systems
ZeST: an LLM-based Zero-Shot Traversability Navigation for Unknown Environments
Characterizing the impact of geometric properties of word embeddings on task performance
Energy stable and L 2 norm convergent BDF3 scheme for the Swift-Hohenberg equation
Spatiotemporal Attention Learning Framework for Event-Driven Object Recognition
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation
Learning Efficient, Explainable and Discriminative Representations for Pulmonary Nodules Classification
Novel OCT mosaicking pipeline with Feature- and Pixel-based registration
Obtaining Progress Guarantee and GreaterConcurrency in Multi-Version Object Semantics
SAMConvex: Fast Discrete Optimization for CT Registration using Self-supervised Anatomical Embedding and Correlation Pyramid
Domain Adaptable Prescriptive AI Agent for Enterprise
Medical Datasets Collections for Artificial Intelligence-based Medical Image Analysis
Low-latency Monaural Speech Enhancement with Deep Filter-bank Equalizer
Extending the View Composition Algebra to Hierarchical Data
Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction
A Generative AI-driven Metadata Modelling Approach
Bridging Cost-sensitive and Neyman-Pearson Paradigms for Asymmetric Binary Classification
Graph Neural Distance Metric Learning with Graph-Bert
Convolutional autoencoders for spatially-informed ensemble post-processing
A Deep Learning-based Method to Extract Lumen and Media-Adventitia in Intravascular Ultrasound Images
Language-Guided Face Animation by Recurrent StyleGAN-based Generator
Beyond Shapley Values: Cooperative Games for the Interpretation of Machine Learning Models
Pose2Seg: Human Instance Segmentation Without Detection
A novel family of finite automata for recognizing and learning ω-regular languages
Transfer Learning Under High-Dimensional Graph Convolutional Regression Model for Node Classification
Balancing Exploration and Exploitation in LLM using Soft RLLF for Enhanced Negation Understanding
On the Herdability of Linear Time-Invariant Systems with Special Topological Structures
Typicality for stratified measures
Workflow is All You Need: Escaping the "Statistical Smoothing Trap" via High-Entropy Information Foraging and Adversarial Pacing
RAZOR: Refining Accuracy by Zeroing Out Redundancies
Massive Machine-type Communications in 5G: Physical and MAC-layer solutions
StainDiffuser: MultiTask Dual Diffusion Model for Virtual Staining
SGD as Free Energy Minimization: A Thermodynamic View on Neural Network Training
Class balanced underwater object detection dataset generated by class-wise style augmentation
Amplification of Addictive New Media Features in the Metaverse
Adaptive Layer-skipping in Pre-trained LLMs
A Commonsense Reasoning Framework for Explanatory Emotion Attribution, Generation and Re-classification
A Case for a Currencyless Economy Based on Bartering with Smart Contracts
A Video Is Worth Three Views: Trigeminal Transformers for Video-based Person Re-identification
Long-Term Online Multi-Session Graph-Based SPLAM with Memory Management
Joint Structured Learning and Predictions under Logical Constraints in Conditional Random Fields
MoDA: Multi-modal Diffusion Architecture for Talking Head Generation
Provable Repair of Deep Neural Networks
Unsupervised Discovery of Disentangled Manifolds in GANs
Untrimmed Video Classification for Activity Detection: submission to ActivityNet Challenge
Strategic and Fair Aggregator Interactions in Energy Markets: Mutli-agent Dynamics and Quasiconcave Games