yusuke1997/dblp-id-title huggingface dataset:
Machining Cycle Time Prediction: Data-driven Modelling of Machine Tool Feedrate Behavior with Neural Networks
Roq: Robust Query Optimization Based on a Risk-aware Learned Cost Model
Cybermatter
Traffic Load Prediction and Power Consumption Reduction for Multi-band Networks
Bayesian Network Modeling of Causal Influence within Cognitive Domains and Clinical Dementia Severity Ratings for Western and Indian Cohorts
Quantum Gaussian Channels with Weak Measurements
3D Face Anti-spoofing with Factorized Bilinear Coding
Judgments of research co-created by generative AI: experimental evidence
Processing Metonymy: a Domain-Model Heuristic Graph Traversal Approach
Cross-Domain Offline Policy Adaptation with Dynamics- and Value-Aligned Data Filtering
A Real-Time Multi-Task Learning System for Joint Detection of Face, Facial Landmark and Head Pose
Information Transfer in the Agricultural Sector in Spain
Three-dimensional graph products with unbounded stack-number
From Specification to Service: Accelerating API-First Development Using Multi-Agent Systems
A Survey of Trojans in Neural Models of Source Code: Taxonomy and Techniques
The Uned systems at Senseval-2
Associations between finger tapping, gait and fall risk with application to fall risk assessment
Capacity Planning for Cluster Tools in the Semiconductor Industry
A Sensitive Attribute based Clustering Method for kanonymization
Safe and Certifiable AI Systems: Concepts, Challenges, and Lessons Learned
Reward-Respecting Subtasks for Model-Based Reinforcement Learning
On the use of reference points for the biobjective Inventory Routing Problem
Solving for multi-class: a survey and synthesis
Optimal Bootstrapping of PoW Blockchains
Mechanism Learning for Trading Networks
Algorithms and Fundamental Limits for Unlabeled Detection using Types
What Do People See in a Twenty-Second Glimpse of Bivariate Vector Field Visualizations?
User-Oriented Multi-Task Federated Deep Learning for Mobile Edge Computing
Spreading Processes and Large Components in Ordered, Directed Random Graphs
Model Context Contracts - MCP-Enabled Framework to Integrate LLMs With Blockchain Smart Contracts
Probing Convex Polygons with a Wedge
Mapping "Brain Coral" Regions on Mars using Deep Learning
Generalized Graph Convolutional Networks for Skeleton-based Action Recognition
Do LLMs Understand Visual Anomalies? Uncovering LLM Capabilities in Zero-shot Anomaly Detection
Investigating Recurrent Neural Network Memory Structures using Neuro-Evolution
Convergence Analysis of Riemannian Stochastic Approximation Schemes
Towards Bridging Formal Methods and Human Interpretability
Evolving Chart Pattern Sensitive Neural Network Based Forex Trading Agents
A Reactive Framework for Whole-Body Motion Planning of Mobile Manipulators Combining Reinforcement Learning and SDF-Constrained Quadratic Programmi
Satellites swarm cooperation for pursuit-attachment tasks with transformer-based reinforcement learning
Efficient Inner Product Approximation in Hybrid Spaces
Exploiting symmetry in network analysis
Spatially self-organized resilient networks by a distributed cooperative mechanism
VFM-Det: Towards High-Performance Vehicle Detection via Large Foundation Models
On lower semicontinuity of the quantum conditional mutual information and its corollaries
Path Assignment Techniques For Vehicle Tracking
Age of Information Minimization in UAV-Assisted Covert Communication: Trajectory and Beamforming Design
Effective Neural Solution for Multi-Criteria Word Segmentation
EffectiveSan: Type and Memory Error Detection using Dynamically Typed C/C++
Neural Random Projections for Language Modelling
An hr-Adaptive Method for the Cubic Nonlinear Schrödinger Equation
Multi-Armed Bandit Learning in IoT Networks: Learning helps even in non-stationary settings
An MLP Baseline for Handwriting Recognition Using Planar Curvature and Gradient Orientation
Emerging AI Technologies Inspiring the Next Generation of E-textiles
A lightweight dual-stage framework for personalized speech enhancement based on DeepFilterNet2
FM-G-CAM: A Holistic Approach for Explainable AI in Computer Vision
Understanding Attention: In Minds and Machines
An Efficient, Automatic Approach to High Performance Heterogeneous Computing
FDTD schemes for Maxwell interface problems with perfect electric conductors based on the correction function method
Your PIN Sounds Good! On The Feasibility of PIN Inference Through Audio Leakage
The Expansion Problem for Infinite Trees
Predict stock prices with ARIMA and LSTM
Balancing Complexity and Informativeness in LLM-Based Clustering: Finding the Goldilocks Zone
Formal Verification of Parameterized Systems based on Induction
Deep Convolutional Neural Networks on Cartoon Functions
Implementation and Application of Multi-Format 3D Data Integration in a Cross-Device Commercial Metaverse Platform
An Improvement for Capsule Networks using Depthwise Separable Convolution
Applying Eigencontours to PolarMask-Based Instance Segmentation
Data-driven linear solver selection and performance tuning for multiphysics simulations in porous media
Deep Geometry Handling and Fragment-wise Molecular 3D Graph Generation
Quantum Geometric Machine Learning for Quantum Circuits and Control
Sound source ranging using a feed-forward neural network with fitting-based early stopping
A Survey on Federated Learning in Human Sensing
QE-RAG: A Robust Retrieval-Augmented Generation Benchmark for Query Entry Errors
Byte BPE Tokenization as an Inverse string Homomorphism
Mechanical Properties Prediction in Metal Additive Manufacturing Using Machine Learning
First Draft on the xInf Model for Universal Physical Computation and Reverse Engineering of Natural Intelligence
Information-Theoretic Generalization Bounds of Replay-based Continual Learning
Affine-Invariant Global Non-Asymptotic Convergence Analysis of BFGS under Self-Concordance
A multilevel stochastic regularized first-order method with application to training
Completeness of Kozen's Axiomatization for the Modal mu-Calculus: A Simple Proof
Connectomics Informed by Large Language Models
Quasi Real-Time Autonomous Satellite Detection and Orbit Estimation
ParEval-Repo: A Benchmark Suite for Evaluating LLMs with Repository-level HPC Translation Tasks
Regular Expression Matching on billion-nodes Graphs
Approximating Bin Packing within O(log OPT * log log OPT) bins
Position and line-of-sight stabilization of spherical robot using feedforward proportional-derivative geometric controller
Impact of Software Requirement Volatility Pattern on Project Dynamics: Evidences from a Case Study
LM-assisted keyword biasing with Aho-Corasick algorithm for Transducer-based ASR
SQuARE: Semantics-based Question Answering and Reasoning Engine
SARA: Structural and Adversarial Representation Alignment for Training-efficient Diffusion Models
Efficient remedies for outlier detection with variational autoencoders
Gradient descent inference in empirical risk minimization
A Continuous Relaxation of Beam Search for End-to-end Training of Neural Sequence Models
Detection of Degraded Acacia tree species using deep neural networks on uav drone imagery
Multi-scale, Data-driven and Anatomically Constrained Deep Learning Image Registration for Adult and Fetal Echocardiography
Theory of CHTW-systems. Born by Petri Nets
A Heuristic Routing Mechanism Using a New Addressing Scheme
Beyond R-barycenters: an effective averaging method on Stiefel and Grassmann manifolds
Semi-Streaming Algorithms for Graph Property Certification
A Spatial-Temporal Transformer based Framework For Human Pose Assessment And Correction in Education Scenarios
Beyond Part Models: Person Retrieval with Refined Part Pooling
CQE in Description Logics Through Instance Indistinguishability (extended version)
Asynchronous Implementation of Failure Detectors with partial connectivity and unknown participants
CSPS: A Communication-Efficient Sequence-Parallelism based Serving System for Transformer based Models with Long Prompts
Multilingual Word Embeddings using Multigraphs
RustAssure: Differential Symbolic Testing for LLM-Transpiled C-to-Rust Code
Le probleme de l'isomorphisme de graphes est dans P
MessageGuard: A Browser-based Platform for Usable, Content-Based Encryption Research
Foundational theory for optimal decision tree problems. II. Optimal hypersurface decision tree algorithm
Low-rank plus diagonal approximations for Riccati-like matrix differential equations
GLOWin: A Flow-based Invertible Generative Framework for Learning Disentangled Feature Representations in Medical Images
A Formal Algebraic Framework for DSL Composition
Multi-Head Adapter Routing for Data-Efficient Fine-Tuning
Further Results on Quadratic Permutation Polynomial-Based Interleavers for Turbo Codes
A Robust Ensemble Model for Patasitic Egg Detection and Classification
Addressing the Item Cold-start Problem by Attribute-driven Active Learning
Abstracting Asynchronous Multi-Valued Networks: An Initial Investigation
Decisions with Uncertain Consequences - A Total Ordering on Loss-Distributions
tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection
Estimating Vector Fields on Manifolds and the Embedding of Directed Graphs
Review of intelligent tutoring systems using bayesian approach
Rate-storage regions for Massive Random Access
The Prioritized Inductive Logic Programs
Sequentiality vs. Concurrency in Games and Logic
Towards Efficient Large-Scale Graph Neural Network Computing
Circuit Synthesis of Electrochemical Supercapacitor Models
Security of Cloud FPGAs: A Survey
NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification
Optimal Particle-based Approximation of Discrete Distributions (OPAD)
Discontinuous collocation and symmetric integration methods for distributionally-sourced hyperboloidal partial differential equations
Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding
Evolutionary framework for two-stage stochastic resource allocation problems
A proof of the Multiplicative 1-2-3 Conjecture
Exploring Depth Information for Face Manipulation Detection
GeNet: A Graph Neural Network-based Anti-noise Task-Oriented Semantic Communication Paradigm
Pseudo-Codewords of Cycle Codes via Zeta Functions
Security and Privacy in Big Data Sharing: State-of-the-Art and Research Directions
LSEAttention is All You Need for Time Series Forecasting
Coupling Machine Learning with Ontology for Robotics Applications
Are BabyLMs Second Language Learners?
Space-Variant Total Variation boosted by learning techniques in few-view tomographic imaging
Construction of Differentially Private Summaries over Fully Homomorphic Encryption
Algorithmic Permutation of part of the Torah
Invariance Through Inference
Moment dynamics and observer design for a class of quasilinear quantum stochastic systems
TraitSpaces: Towards Interpretable Visual Creativity for Human-AI Co-Creation
Underactuated dexterous robotic grasping with reconfigurable passive joints
Machine-learned models for magnetic materials
xbench: Tracking Agents Productivity Scaling with Profession-Aligned Real-World Evaluations
Nonconforming finite elements for the Brinkman and -curlΔcurl problems on cubical meshes
Variational Learning Finds Flatter Solutions at the Edge of Stability
Omni-Referring Image Segmentation
Barriers that Programming Instructors Face While Performing Emergency Pedagogical Design to Shape Student-AI Interactions with Generative AI Tools
Re-Ranking Step by Step: Investigating Pre-Filtering for Re-Ranking with Large Language Models
Preferential attachment without vertex growth: emergence of the giant component
A Cost-Effective Resource Provisioning Framework using Online Learning in IaaS Clouds
FragNet: Writer Identification using Deep Fragment Networks
Ro-To-Go! Robust Reactive Control with Signal Temporal Logic
Interference Characterization in Downlink Li-Fi Optical Attocell Networks
ASAP: Reconciling Asynchronous Real-Time Operations and Proofs of Execution in Simple Embedded Systems
Statistical limits of spiked tensor models
Neural auto-designer for enhanced quantum kernels
Booster: An Accelerator for Gradient Boosting Decision Trees
FlashFace: Human Image Personalization with High-fidelity Identity Preservation
Prepositions in Context
GoCoronaGo: Privacy Respecting Contact Tracing for COVID-19 Management
Full High-Dimensional Intelligible Learning In 2-D Lossless Visualization Space
Enhancing Electrocardiogram Signal Analysis Using NLP-Inspired Techniques: A Novel Approach with Embedding and Self-Attention
Transformers for Capturing Multi-level Graph Structure using Hierarchical Distances
Harnessing Self-Supervised Deep Learning and Geostationary Remote Sensing for Advancing Wildfire and Associated Air Quality Monitoring: Improved Smoke and Fire Front Masking using GOES and TEMPO Radiance Data
Optimization and Learning with Information Streams: Time-varying Algorithms and Applications
DCI: Discriminative and Contrast Invertible Descriptor
Autonomous Vehicular Networks: Perspective and Open Issues
Mary Kenneth Keller: First US PhD in Computer Science
Extended Load Flexibility of Industrial P2H Plants: A Process Constraint-Aware Scheduling Approach
Design and Reliability of a User Space Write-Ahead Log in Rust
FastPitchFormant: Source-filter based Decomposed Modeling for Speech Synthesis
Efficient Matching Boundary Conditions of Two-dimensional Honeycomb Lattice for Atomic Simulations
HFuzzer: Testing Large Language Models for Package Hallucinations via Phrase-based Fuzzing
Scalable closed-form trajectories for periodic and non-periodic human-like walking
Instantly Decodable Network Codes for Real-Time Applications
IMAGINE: An Integrated Model of Artificial Intelligence-Mediated Communication Effects
Dolphin: A Programmable Framework for Scalable Neurosymbolic Learning
Estimating Visibility from Alternate Perspectives for Motion Planning with Occlusions
Improving Factual Consistency of Abstractive Summarization on Customer Feedback
Evaluating Visual Mathematics in Multimodal LLMs: A Multilingual Benchmark Based on the Kangaroo Tests
A Nonmonotone Matrix-Free Algorithm for Nonlinear Equality-Constrained Inverse Problems
User Assistance Characteristics of the USE Model Checking Tool
Erdős-Pósa property of cycles that are far apart
Zero-Shot Segmentation through Prototype-Guidance for Multi-Label Plant Species Identification
Scene Graph Generation for Better Image Captioning?
Patient Similarity Analysis with Longitudinal Health Data
Human Speech Perception in Noise: Can Large Language Models Paraphrase to Improve It?
Measurement-driven Security Analysis of Imperceptible Impersonation Attacks
Optimal Transceiver Design in Over-the-Air Federated Distillation
Pruning-aware Loss Functions for STOI-Optimized Pruned Recurrent Autoencoders for the Compression of the Stimulation Patterns of Cochlear Implants at Zero Delay
A Novel Real-Time Video and Data Capture of Vehicular Accident in Intelligent Transportation Systems
Roundabout Constrained Convex Generators: A Unified Framework for Multiply-Connected Reachable Sets
Generation Meets Recommendation: Proposing Novel Items for Groups of Users
AutoOpt: A Methodological Framework of Automatically Designing Metaheuristics for Optimization Problems
Removal and Selection: Improving RGB-Infrared Object Detection via Coarse-to-Fine Fusion
Root ORAM: A Tunable Differentially Private Oblivious RAM
Towards Explainable Bilingual Multimodal Misinformation Detection and Localization
Privacy-Preserving Federated Vision Transformer Learning Leveraging Lightweight Homomorphic Encryption in Medical AI
Scaling positive random matrices: concentration and asymptotic convergence
Low-Cost High-Power Membership Inference by Boosting Relativity
Autonomous Voltage Control for Grid Operation Using Deep Reinforcement Learning
Clustering with shallow trees
Deep learning at the edge enables real-time streaming ptychographic imaging
An Efficient Adaptive Compression Method for Human Perception and Machine Vision Tasks
Impacts of Color and Texture Distortions on Earth Observation Data in Deep Learning
MirrorNet: A Deep Bayesian Approach to Reflective 2D Pose Estimation from Human Images
A priori estimation of a time step for numerically solving parabolic problems
SYNAPSE-Net: A Unified Framework with Lesion-Aware Hierarchical Gating for Robust Segmentation of Heterogeneous Brain Lesions
Labeling Panoramas with Spherical Hourglass Networks
Stochastic Makespan Minimization in Structured Set Systems
Discovering outstanding subgroup lists for numeric targets using MDL
Semantic Visualization and Navigation in Textual Corpus
Revolutionizing Wildfire Detection with Convolutional Neural Networks: A VGG16 Model Approach
Design and Implementation of Performance Metrics for Evaluation of Assessments Data
Full-Range Approximation for the Theis Well Function Using Ramanujan's Series and Bounds for the Exponential Integral
Neural-Network-Driven Method for Optimal Path Planning via High-Accuracy Region Prediction
Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange
PhysMaster: Building an Autonomous AI Physicist for Theoretical and Computational Physics Research
From Parameter to Representation: A Closed-Form Approach for Controllable Model Merging
On the Effectiveness of Various Machine Learning Algorithms for THz Channel Estimation
Learning-Based Phase Compression and Quantization for Massive MIMO CSI Feedback with Magnitude-Aided Information
A Channel-based Exact Inference Algorithm for Bayesian Networks
Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models
Finding Hamiltonian cycles with graph neural networks
More Effective Randomized Search Heuristics for Graph Coloring Through Dynamic Optimization
Disentangling Spatial-Temporal Functional Brain Networks via Twin-Transformers
Hypergeometric-Type Sequences
The ApposCorpus: A new multilingual, multi-domain dataset for factual appositive generation
Sarcasm Analysis using Conversation Context
Code4ML: a Large-scale Dataset of annotated Machine Learning Code
Small NFAs from Regular Expressions: Some Experimental Results
Quantum-Inspired Multi Agent Reinforcement Learning for Exploration Exploitation Optimization in UAV-Assisted 6G Network Deployment
An Experimental Study: Assessing the Combined Framework of WavLM and BEST-RQ for Text-to-Speech Synthesis
Analyzing Contact Patterns in Public Transportation Systems for Opportunistic Communication Services
A Kernel-Based Approach for Accurate Steady-State Detection in Performance Time Series
Hamiltonian Maker-Breaker games on small graphs
CCFL: Computationally Customized Federated Learning
Spectral properties of kernel matrices in the flat limit
OEDG: Oscillation-eliminating discontinuous Galerkin method for hyperbolic conservation laws
Exploring reinforcement learning for incident response in autonomous military vehicles
Attention is all you need for an improved CNN-based flash flood susceptibility modeling. The case of the ungauged Rheraya watershed, Morocco
Portable medical devices creation technology by using the Bluetooth module
Molecular Quantum Electrodynamics at Finite Temperatures: Applications to Nuclear Magnetic Resonance
Information-theoretic limits and approximate message-passing for high-dimensional time series
Make Planning Research Rigorous Again!
Word2Spike: Poisson Rate Coding for Associative Memories and Neuromorphic Algorithms
Message Passing Networks for Molecules with Tetrahedral Chirality
Practicable Simulation-Free Model Order Reduction by Nonlinear Moment Matching
Developing a Robust Computable Phenotype Definition Workflow to Describe Health and Disease in Observational Health Research
A Novel Demodulation and Estimation Algorithm for Blackout Communication: Extract Principal Components with Deep Learning
Explainable Patterns: Going from Findings to Insights to Support Data Analytics Democratization
Harnessing the Power of Semi-Structured Knowledge and LLMs with Triplet-Based Prefiltering for Question Answering
ColorNet - Estimating Colorfulness in Natural Images
On properties of an explicit in time fourth-order vector compact scheme for the multidimensional wave equation
Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation
Weighted inhomogeneous regularization for inverse problems with indirect and incomplete measurement data
Time-Series U-Net with Recurrence for Noise-Robust Imaging Photoplethysmography
A Review of Network Evolution Towards a Smart Connected World
Learning Gaussian Mixtures with Generalised Linear Models: Precise Asymptotics in High-dimensions
An Image-Based Fluid Surface Pattern Model
Chunky and Equal-Spaced Polynomial Multiplication
Generative Adversarial Networks for Electronic Health Records: A Framework for Exploring and Evaluating Methods for Predicting Drug-Induced Laboratory Test Trajectories
DiVE-k: Differential Visual Reasoning for Fine-grained Image Recognition
Verification of indefinite-horizon POMDPs
Nonlinear Hawkes Processes in Time-Varying System
Solving the compute crisis with physics-based ASICs
A Message Passing Approach for Multiple Maneuvering Target Tracking
UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data
Explicit-Blurred Memory Network for Analyzing Patient Electronic Health Records
Separated Inter/Intra-Modal Fusion Prompts for Compositional Zero-Shot Learning
Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning
Geometric Complexity Theory V: On deciding nonvanishing of a generalized Littlewood-Richardson coefficient
What is Not in the Context? Evaluation of Few-shot Learners with Informative Demonstrations
Astrophysics Source Code Library: Incite to Cite!
FRAC-Q-Learning: A Reinforcement Learning with Boredom Avoidance Processes for Social Robots
Set-valued State Estimation Using Hybrid Zonotopes
Joint Matrix-Tensor Factorization for Knowledge Base Inference
Contextualized Embeddings based Convolutional Neural Networks for Duplicate Question Identification
Together We Know How to Achieve: An Epistemic Logic of Know-How
Stochastic parareal: an application of probabilistic methods to time-parallelisation
Step-Audio-AQAA: a Fully End-to-End Expressive Large Audio Language Model
Uncertainty-aware Perception Models for Off-road Autonomous Unmanned Ground Vehicles
Do Bayesian Variational Autoencoders Know What They Don't Know?
Social Media for Emergency Rescue: An Analysis of Rescue Requests on Twitter during Hurricane Harvey
Teaching Complex Systems based on Microservices
Closed-Form Information Capacity of Canonical Signaling Models
Structural Properties of Index Coding Capacity
The Hitchhiker's Guide to Program Analysis, Part II: Deep Thoughts by LLMs
Deep Generative Models in Engineering Design: A Review
Re-purposing Perceptual Hashing based Client Side Scanning for Physical Surveillance
Few-Shot Learning for Chronic Disease Management: Leveraging Large Language Models and Multi-Prompt Engineering with Medical Knowledge Injection
Swapping Lemmas for Regular and Context-Free Languages with Advice
COSEA: Convolutional Code Search with Layer-wise Attention
Adaptive parameter-efficient fine-tuning via Hessian-informed subset selection
Evaluating Built-in ECC of FPGA on-chip Memories for the Mitigation of Undervolting Faults
Wireless sensor network for in situ soil moisture monitoring
Gaussian-Forest: Hierarchical-Hybrid 3D Gaussian Splatting for Compressed Scene Modeling
Scalable Ranked Preference Optimization for Text-to-Image Generation
Perturbation Robust Stable Matching
Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology
Multi-Preference Actor Critic
Temporal Difference Learning with Neural Networks - Study of the Leakage Propagation Problem
CellForge: Agentic Design of Virtual Cell Models
Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition
Algorithmic Fairness and Social Welfare
SugarcaneNet2024: An Optimized Weighted Average Ensemble Approach of LASSO Regularized Pre-trained Models for Sugarcane Disease Classification
Fast Obstacle Avoidance Motion in SmallQuadcopter operation in a Cluttered Environment
Diffuse and Disperse: Image Generation with Representation Regularization