yusuke1997/dblp-id-title huggingface dataset:
Computing with volatile memristors: An application of non-pinched hysteresis
Online single artificial neural network adaptive critic learning under additive disturbance, state constraints and input saturation
How "troll" are you? Measuring and detecting troll behavior in online social networks
GO-Diff: Data-free and amortized global structure optimization
Proving Termination of Graph Transformation Systems using Weighted Type Graphs over Semirings
An Abstract Semantics for Inference of Types and Effects in a Multi-Tier Web Language
Determining Impact of Social Media Badges through Joint Clustering of Temporal Traces and User Features
Finding Efficient Domination for S 1, 3, 3 -Free Bipartite Graphs in Polynomial Time
Delay differential equations for the spatially-resolved simulation of epidemics with specific application to COVID-19
Video-Based Performance Evaluation for ECR Drills in Synthetic Training Environments
A statistical framework for model-based inverse problems in ultrasound elastography
Purple-teaming LLMs with Adversarial Defender Training
Exploropleth: exploratory analysis of data binning methods in choropleth maps
Consistent and Complementary Graph Regularized Multi-view Subspace Clustering
Selection Lemmas for various geometric objects
Criss-Cross Deletion Correcting Codes: Optimal Constructions with Efficient Decoders
CircFormerMoE: An End-to-End Deep Learning Framework for Circular RNA Splice Site Detection and Pairing in Plant Genomes
Hard and Soft Spherical-Bound Stack decoder for MIMO systems
Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning
Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data
An Improved Receiving Scheme for Layered ACO-FOFDM in IM/DD Systems
Optical Context Compression Is Just (Bad) Autoencoding
Investment under uncertainty, competition and regulation
Improved algorithms for single machine serial-batch scheduling to minimize makespan and maximum cost
Pre-training Neural Networks with Human Demonstrations for Deep Reinforcement Learning
Brittle interpretations: The Vulnerability of TCAV and Other Concept-based Explainability Tools to Adversarial Attack
Basic Ideas and Tools for Projection-Based Model Reduction of Parametric Partial Differential Equations
Effective Secrecy: Reliability, Confusion and Stealth
On the Practical Implementation of Propagation Delay and Clock Skew Compensated High-Precision Time Synchronization Schemes with Resource-Constrained Sensor Nodes in Multi-Hop Wireless Sensor Networks
Robust Learning of Noisy Time Series Collections Using Stochastic Process Models with Motion Codes
A robust matrix-free approach for large-scale non-isothermal high-contrast viscosity Stokes flow on blended domains with applications to geophysics
Simple Analysis of Johnson-Lindenstrauss Transform under Neuroscience Constraints
Cloud-Assisted Remote Sensor Network Virtualization for Distributed Consensus Estimation
Quantum tensor singular value decomposition with applications to recommendation systems
Render4Completion: Synthesizing Multi-view Depth Maps for 3D Shape Completion
Deep Learning Based Two-dimensional Speaker Localization With Large Ad-hoc Microphone Arrays
On Sharing, Memoization, and Polynomial Time (Long Version)
Federated Learning Approach to Mitigate Water Wastage
Building Small-Satellites to Live Through the Kessler Effect
DeepVox and SAVE-CT: a contrast- and dose-independent 3D deep learning approach for thoracic aorta segmentation and aneurysm prediction using computed tomography scans
Semantic Sensing and Planning for Human-Robot Collaboration in Uncertain Environments
Mittens: An Extension of GloVe for Learning Domain-Specialized Representations
Side4Video: Spatial-Temporal Side Network for Memory-Efficient Image-to-Video Transfer Learning
Models for information propagation on graphs
Prefix-based Labeling Annotation for Effective XML Fragmentation
LQ-Adapter: ViT-Adapter with Learnable Queries for Gallbladder Cancer Detection from Ultrasound Image
Dual Codebook VQ: Enhanced Image Reconstruction with Reduced Codebook Size
Granular-Balls based Fuzzy Twin Support Vector Machine for Classification
High Altitude Platform-Based Caching and Multicasting for Rural Connectivity
Informative Path Planning and Mapping for Active Sensing Under Localization Uncertainty
Linear Convergence of the Randomized Feasible Descent Method Under the Weak Strong Convexity Assumption
Lessons Learned in ATCO2: 5000 hours of Air Traffic Control Communications for Robust Automatic Speech Recognition and Understanding
An Ensemble of Neural Networks for Non-Linear Segmentation of Overlapped Cursive Script
SharedAssembly: A Data Collection Approach via Shared Tele-Assembly
Whole-body Representation Learning For Competing Preclinical Disease Risk Assessment
ReLU's Revival: On the Entropic Overload in Normalization-Free Large Language Models
Revisiting the Scheme of Walking-in-Place by Introducing Step-Height Control, Elastic Input and Pseudo-Haptic Feedback
SongPrep: A Preprocessing Framework and End-to-end Model for Full-song Structure Parsing and Lyrics Transcription
Data Science: A Powerful Catalyst for Cross-Sector Collaborations to Transform the Future of Global Health - Developing a New Interactive Relational Mapping Tool
Mobility Management as a Service for 5G Networks
Cybroc: Cyborgizing Broccoli for Longevity
Direct Variational Perspective Shape from Shading with Cartesian Depth Parametrisation
A novel tree-structured point cloud dataset for skeletonization algorithm evaluation
Concatenated Coding Using Linear Schemes for Gaussian Broadcast Channels with Noisy Channel Output Feedback
PosterLayout: A New Benchmark and Approach for Content-aware Visual-Textual Presentation Layout
Probably Approximately Precision and Recall Learning
Spectral analysis of high order continuous FEM for hyperbolic PDEs on triangular meshes: influence of approximation, stabilization, and time-stepping
Enhanced Parking Perception by Multi-Task Fisheye Cross-view Transformers
Auctioning Future Services in Edge Networks with Moving Vehicles: N-Step Look-Ahead Contracts for Sustainable Resource Provision
Binary Sequences with Minimum Peak Sidelobe Level up to Length 68
A Method for Handling Multi-class Imbalanced Data by Geometry based Information Sampling and Class Prioritized Synthetic Data Generation (GICaPS)
A Framework for Lightweight Responsible Prompting Recommendation
GPT-2 as a Compression Preprocessor: Improving Gzip for Structured Text Domains
Reinventing Data Stores for Video Analytics
An agent-based model of modal choice with perception biases and habits
Data-driven distributionally robust MPC for systems with multiplicative noise: A semi-infinite semi-definite programming approach
Bi-stream Pose Guided Region Ensemble Network for Fingertip Localization from Stereo Images
Retrieval Augmented Generation of Symbolic Music with LLMs
On the Topology of the Restricted Delaunay Triangulation and Witness Complex in Higher Dimensions
Large Language Model-based Augmentation for Imbalanced Node Classification on Text-Attributed Graphs
deepSELF: An Open Source Deep Self End-to-End Learning Framework
Almost Disjunctive List-Decoding Codes
Random pattern and frequency generation using a photonic reservoir computer with output feedback
Machine Learning and Cloud Computing: Survey of Distributed and SaaS Solutions
Test Oracle Automation in the era of LLMs
A Recursive Construction of Permutation Polynomials over F q 2 with Odd Characteristic from Rédei Functions
A robust, low-cost approach to Face Detection and Face Recognition
Automatically Annotating Articles Towards Opening and Reusing Transparent Peer Reviews
DragGaussian: Enabling Drag-style Manipulation on 3D Gaussian Representation
Tamizhi-Net OCR: Creating A Quality Large Scale Tamil-Sinhala-English Parallel Corpus Using Deep Learning Based Printed Character Recognition (PCR)
Autonomous Bikebot Control for Crossing Obstacles with Assistive Leg Impulsive Actuation
Solving Urban Network Security Games: Learning Platform, Benchmark, and Challenge for AI Research
SplaXBERT: Leveraging Mixed Precision Training and Context Splitting for Question Answering
Entangled games do not require much entanglement
Neural Architecture Search for Speech Recognition
Verifying Quantum Programs: From Quipper to QPMC
Modeling emotion in complex stories: the Stanford Emotional Narratives Dataset
Motion Planning for Identification of Linear Classifiers
Land Cover Mapping in Limited Labels Scenario: A Survey
Towards Semantic Big Graph Analytics for Cross-Domain Knowledge Discovery
Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data
Towards automating Codenames spymasters with deep reinforcement learning
A hierarchical Algorithm to Solve the Shortest Path Problem in Valued Graphs
The h index and multi-author h m index for individual researchers in condensed matter physics
Solar Image Restoration with the Cycle-GAN Based on Multi-Fractal Properties of Texture Features
Pseudo-Entanglement is Necessary for EFI Pairs
CapGeo: A Caption-Assisted Approach to Geometric Reasoning
Memba: Membrane-driven Parameter-Efficient Fine-Tuning for Mamba
Byzantine-resilient Federated Learning Employing Normalized Gradients on Non-IID Datasets
RationAnomaly: Log Anomaly Detection with Rationality via Chain-of-Thought and Reinforcement Learning
GridTracer: Automatic Mapping of Power Grids using Deep Learning and Overhead Imagery
PLC-to-DSL Interference: Statistical Model and Impact on DSL
LAPO: Internalizing Reasoning Efficiency via Length-Adaptive Policy Optimization
Face Recognition Using Discrete Cosine Transform for Global and Local Features
Robustness to Subpopulation Shift with Domain Label Noise via Regularized Annotation of Domains
The role of haptic communication in dyadic collaborative object manipulation tasks
System-Level Performance of mmWave Cellular Networks for Urban Micro Environments
Can KAN CANs? Input-convex Kolmogorov-Arnold Networks (KANs) as hyperelastic constitutive artificial neural networks (CANs)
HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology images
Natural Language Processing for Cognitive Analysis of Emotions
Fast spectral separation method for kinetic equation with anisotropic non-stationary collision operator retaining micro-model fidelity
Robust Risk-Sensitive Reinforcement Learning Agents for Trading Markets
Sharpness-aware Low dose CT denoising using conditional generative adversarial network
DCM: Dual-Expert Consistency Model for Efficient and High-Quality Video Generation
FastFlow: Efficient Parallel Streaming Applications on Multi-core
Conformal Prediction with Corrupted Labels: Uncertain Imputation and Robust Re-weighting
Mel-spectrogram features for acoustic vehicle detection and speed estimation
Interactive decoding of words from visual speech recognition models
Topic Identification for Speech without ASR
Method for motion artifact reduction using a convolutional neural network for dynamic contrast enhanced MRI of the liver
Multi-Intent Recognition in Dialogue Understanding: A Comparison Between Smaller Open-Source LLMs
SPI-GAN: Distilling Score-based Generative Models with Straight-Path Interpolations
RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments
HMAR: Hierarchical Masked Attention for Multi-Behaviour Recommendation
Half-integral Erdös-Pósa property for non-null S - T paths
Physical Adversarial Examples for Multi-Camera Systems
Enhanced Compressed Sensing Recovery with Level Set Normals
MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization
Direction Finding Algorithms with Joint Iterative Subspace Optimization
Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection
Dual NUP Representations and Min-Maximization in Factor Graphs
Convergence Analysis for Restarted Anderson Mixing and Beyond
Structural and Connectivity Patterns in the Maven Central Software Dependency Network
SeisGPT: A Physics-Informed Data-Driven Large Model for Real-Time Seismic Response Prediction
Coherence and Concentration in Tightly-Connected Networks
Continuous-Time Linear Positional Embedding for Irregular Time Series Forecasting
Thermodynamic limit in learning period three
Binary and Multi-Class Intrusion Detection in IoT Using Standalone and Hybrid Machine and Deep Learning Models
A Systematic Review on the Evaluation of Large Language Models in Theory of Mind Tasks
PushingBots: Collaborative Pushing via Neural Accelerated Combinatorial Hybrid Optimization
Wavelet Transparency
Explaining Black-box Language Models with Knowledge Probing Systems: A Post-hoc Explanation Perspective
Online model error correction with neural networks in the incremental 4D-Var framework
Large model enhanced computational ghost imaging
Random Forests versus Neural Networks - What's Best for Camera Relocalization?
Time discretization of an initial value problem for a simultaneous abstract evolution equation applying to parabolic-hyperbolic phase-field systems
Autonomous Detection of Methane Emissions in Multispectral Satellite Data Using Deep Learning
Interpretable Few-shot Learning with Online Attribute Selection
Circuit and System Technologies for Energy-Efficient Edge Robotics
Devam vs. Tamam: 2018 Turkish Elections
ReStainGAN: Leveraging IHC to IF Stain Domain Translation for in-silico Data Generation
Fast evaluation of B-spline functions and rendering of multiple B-spline curves using linear-time algorithm for computing the Bernstein-Bézier coefficients of B-spline functions
Inf-sup stable space-time discretization of the wave equation based on a first-order-in-time variational formulation
Chaotic Hedging with Iterated Integrals and Neural Networks
The wave method of building color palette and its application in computer graphics
Achieving Disaster-Resilient Distribution Systems via Emergency Response Resources: A Practical Approach
Fourier Disentangled Multimodal Prior Knowledge Fusion for Red Nucleus Segmentation in Brain MRI
Umgebungserfassungssystem fuer mobile Roboter (environment logging system for mobile autonomous robots)
Stryker: Scaling Specification-Based Program Repair by Pruning Infeasible Mutants with SAT
From Data to Rewards: a Bilevel Optimization Perspective on Maximum Likelihood Estimation
Scaling up Stability: Reinforcement Learning for Distributed Control of Networked Systems in the Space of Stabilizing Policies
How can Deep Learning Retrieve the Write-Missing Additional Diagnosis from Chinese Electronic Medical Record For DRG
Realistic pedestrian-driver interaction modelling using multi-agent RL with human perceptual-motor constraints
idwMapper: An interactive and data-driven web mapping framework for visualizing and sensing high-dimensional geospatial (big) data
Generation of Multimedia Artifacts: An Extractive Summarization-based Approach
Riemannian Motion Policies
Fast Marginalized Block SBL Algorithm
Understanding Prompt Programming Tasks and Questions
SmartLLMs Scheduler: A Framework for Cost-Effective LLMs Utilization
A Systematic Framework and Characterization of Influence-Based Network Centrality
CINEMAE: Leveraging Frozen Masked Autoencoders for Cross-Generator AI Image Detection
ASURA-FDPS-ML: Star-by-star Galaxy Simulations Accelerated by Surrogate Modeling for Supernova Feedback
Passive Model Learning of Visibly Deterministic Context-free Grammars
DeepRite: Deep Recurrent Inverse TreatmEnt Weighting for Adjusting Time-varying Confounding in Modern Longitudinal Observational Data
A Hybrid Virtual Element Method and Deep Learning Approach for Solving One-Dimensional Euler-Bernoulli Beams
Active Disturbance Rejection Control (ADRC) Toolbox for MATLAB/Simulink
MASCARA: Systematically Generating Memorable And Secure Passphrases
Multi-Omic Data Integration and Feature Selection for Survival-based Patient Stratification via Supervised Concrete Autoencoders
Attention-Based Map Encoding for Learning Generalized Legged Locomotion
Q-caching: an integrated reinforcement-learning approach for caching and routing in information-centric networks
From IC Layout to Die Photo: A CNN-Based Data-Driven Approach
Use of algebraic dual representations in domain decomposition methods for Darcy flow in 3D domain
A Non-Custodial Wallet for CBDC: Design Challenges and Opportunities
Stabilization of cyber-physical systems: a foundational theory of computer-mediated control systems
Deep Joint Face Hallucination and Recognition
Network topology of the Euro Area interbank market
Collision Helps - Algebraic Collision Recovery for Wireless Erasure Networks
High-throughput Cotton Phenotyping Big Data Pipeline Lambda Architecture Computer Vision Deep Neural Networks
Shared and Private VAEs with Generative Replay for Continual Learning
Guaranteed shares of benefits and costs
AMF: Aggregated Mondrian Forests for Online Learning
Inserting Videos into Videos
Syllable-based Neural Named Entity Recognition for Myanmar Language
A Convolution-Based Gait Asymmetry Metric for Inter-Limb Synergistic Coordination
ODE-based Learning to Optimize
A consistent and comprehensive computational approach for general Fluid-Structure-Contact Interaction problems
Globally Optimal Surface Segmentation using Deep Learning with Learnable Smoothness Priors
A Model Order Reduction Algorithm for Estimating the Absorption Spectrum
Scalable Byzantine Consensus via Hardware-assisted Secret Sharing
Agent-based Simulation with Netlogo to Evaluate AmI Scenarios
A branch-and-bound algorithm for the minimum radius $k$-enclosing ball problem
J-PARSE: Jacobian-based Projection Algorithm for Resolving Singularities Effectively in Inverse Kinematic Control of Serial Manipulators
Enriching Disentanglement: Definitions to Metrics
A Self-Correcting Deep Learning Approach to Predict Acute Conditions in Critical Care
Towards Mixed Optimization for Reinforcement Learning with Program Synthesis
Mixed-integer Quadratic Programming is in NP
Exploring Gene Regulatory Interaction Networks and predicting therapeutic molecules for Hypopharyngeal Cancer and EGFR-mutated lung adenocarcinoma
Model-Based Reinforcement Learning for Control of Strongly-Disturbed Unsteady Aerodynamic Flows
Iterated group products and leakage resilience against NC^1
Towards a Foundation Model for Partial Differential Equations: Multi-Operator Learning and Extrapolation
Federated Learning with Incomplete Sensing Modalities
YOLO-TLA: An Efficient and Lightweight Small Object Detection Model based on YOLOv5
A general symplectic integrator for canonical Hamiltonian systems
Computing Real Roots of Real Polynomials - An Efficient Method Based on Descartes' Rule of Signs and Newton Iteration
A Novel Model for Distributed Big Data Service Composition using Stratified Functional Graph Matching
Android Malware Category and Family Detection and Identification using Machine Learning
Land-Coverage Aware Path-Planning for Multi-UAV Swarms in Search and Rescue Scenarios
From MLP to NeoMLP: Leveraging Self-Attention for Neural Fields
Low-cost noise reduction for Clifford circuits
Quantifying the Carbon Emissions of Machine Learning
Viewport Adaptation-Based Immersive Video Streaming: Perceptual Modeling and Applications
Notes on {a, b, c}-Modular Matrices
A Novel Neural Network-Based Federated Learning System for Imbalanced and Non-IID Data
A Consensus Algorithm for Second-Order Systems Evolving on Lie Groups
Explicit feedback synthesis driven by quasi-interpolation for nonlinear robust model predictive control
TAPNext: Tracking Any Point (TAP) as Next Token Prediction
Recovery of the time-dependent source term in the stochastic fractional diffusion equation with heterogeneous medium
A note on (matricial and fast) ways to compute Burt's structural holes
(Fractional) Online Stochastic Matching via Fine-Grained Offline Statistics
Detecting Wildfire Flame and Smoke through Edge Computing using Transfer Learning Enhanced Deep Learning Models
Multimodal Deep Learning for Finance: Integrating and Forecasting International Stock Markets
PowerMat: context-aware recommender system without user item rating values that solves the cold-start problem
Exploratory Analysis of Academic Collaborations between French and US
Quantum Belief Propagation Algorithm versus Suzuki-Trotter approach in the one-dimensional Heisenberg chains
Aspects of Pattern-Matching in Data-Oriented Parsing
zkSDK: Streamlining zero-knowledge proof development through automated trace-driven ZK-backend selection
Approximation of weighted automata with storage
Semantic Segmentation for Point Cloud Scenes via Dilated Graph Feature Aggregation and Pyramid Decoders
On the Asymptotic Convergence of Subgraph Generated Models
Representative Social Choice: From Learning Theory to AI Alignment
A verified algebraic representation of Cairo program execution
Text Steganalysis with Attentional LSTM-CNN
ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution
Integrating Genetic Algorithm, Tabu Search Approach for Job Shop Scheduling
Towards a text-based quantitative and explainable histopathology image analysis
External Data-Enhanced Meta-Representation for Adaptive Probabilistic Load Forecasting
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques
Automatic Cadastral Boundary Detection of Very High Resolution Images Using Mask R-CNN
Maximum Polygon Packing: The CG: SHOP Challenge 2024
Iterative Methods for Sparse Signal Reconstruction from Level Crossings
Explaining Concept Drift through the Evolution of Group Counterfactuals
Application of Kalker Theory of Rolling Contact for Dynamic Simulation of Mobile Robots
Energy efficient D2D communications in dynamic TDD systems
RelP: Faithful and Efficient Circuit Discovery via Relevance Patching
Infrastructure de Services Cloud FaaS sur noeuds IoT
Use of MAX-CUT for Ramsey Arrowing of Triangles
Quantifying model prediction sensitivity to model-form uncertainty
Automatic Lumbar Spinal CT Image Segmentation with a Dual Densely Connected U-Net
Discovering Association with Copula Entropy
On lattices over Fermat function fields
Active flux methods for hyperbolic conservation laws - flux vector splitting and bound-preservation
Iris Verification with Convolutional Neural Network
Towards Explainable Personalized Recommendations by Learning from Users' Photos
MsDC-DEQ-Net: Deep Equilibrium Model (DEQ) with Multi-scale Dilated Convolution for Image Compressive Sensing (CS)
InCrowdFormer: On-Ground Pedestrian World Model From Egocentric Views
3D-based RNA function prediction tools in rnaglib
On The Complexity of Sparse Label Propagation
JSON-Bag: A generic game trajectory representation
Carnival of Samplings: Nets, Approximations, Relative and Sensitive
CITlab ARGUS for historical data tables
Inverse Reinforcement Learning from Diverse Third-Person Videos via Graph Abstraction
Influence-oriented Personalized Federated Learning
Early Explorations of Recommender Systems for Physical Activity and Well-being
Visually Comparing Graph Vertex Ordering Algorithms through Geometrical and Topological Approaches
Predicting Estimated Times of Restoration for Electrical Outages Using Longitudinal Tabular Transformers
Approximating temporal modularity on graphs of small underlying treewidth
E2CoPre: Energy Efficient and Cooperative Collision Avoidance for UAV Swarms with Trajectory Prediction
Reconstruction Conjecture for Graphs Isomorphic to Cube of a Tree
TRAVID: An End-to-End Video Translation Framework
VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning
Pixel-Wise Feature Selection for Perceptual Edge Detection without post-processing
Few-Shot Medical Image Segmentation with Large Kernel Attention
Evaluating a Methodology for Increasing AI Transparency: A Case Study
Match Made in Heaven: Practical Compressed Sensing and Network Coding for Intelligent Distributed Communication Networks
Meta-Calibration: Meta-Learning of Model Calibration Using Differentiable Expected Calibration Error
Secure Vehicular Communications through Reconfigurable Intelligent Surfaces
Programming for All: Understanding the Nature of Programs
Towards Deeper Generative Architectures for GANs using Dense connections