yusuke1997/dblp-id-title huggingface dataset:
Epistemological Fault Lines Between Human and Artificial Intelligence
Temporal Consistency Learning of inter-frames for Video Super-Resolution
Attention Augmented ConvNeXt UNet For Rectal Tumour Segmentation
StableIntrinsic: Detail-preserving One-step Diffusion Model for Multi-view Material Estimation
Overcoming Exploration: Deep Reinforcement Learning in Complex Environments from Temporal Logic Specifications
Bridging Prediction and Intervention Problems in Social Systems
Data-Driven Modeling and Prediction of Non-Linearizable Dynamics via Spectral Submanifolds
Fast Multivariable Subspace Identification (FMSID) of Combined Deterministic-Stochastic/General LTI Systems for Large Input-Output Data
Beyond Prompt Content: Enhancing LLM Performance via Content-Format Integrated Prompt Optimization
2024 BRAVO Challenge Track 1 1st Place Report: Evaluating Robustness of Vision Foundation Models for Semantic Segmentation
Temporal Nuances of Coordination Networks
Academic Support Network Reflects Doctoral Experience and Productivity
Sequential Posted Pricing and Multi-parameter Mechanism Design
PCR: Pessimistic Consistency Regularization for Semi-Supervised Segmentation
Federated Learning with Heterogeneous Data Handling for Robust Vehicular Object Detection
The Unified Control Framework: Establishing a Common Foundation for Enterprise AI Governance, Risk Management and Regulatory Compliance
Development of digitally obtainable 10-year risk scores for depression and anxiety in the general population
TESPEC: Temporally-Enhanced Self-Supervised Pretraining for Event Cameras
Tight Memory-Regret Lower Bounds for Streaming Bandits
Task-Specific Data Preparation for Deep Learning to Reconstruct Structures of Interest from Severely Truncated CBCT Data
Small Visual Language Models can also be Open-Ended Few-Shot Learners
Federated clustering with GAN-based data synthesis
Computing solutions of Schrödinger equations on unbounded domains- On the brink of numerical algorithms
Proxy Re-encryption based Fair Trade Protocol for Digital Goods Transactions via Smart Contracts
Personalized Differential Privacy for Ridge Regression
LANDeRMT: Detecting and Routing Language-Aware Neurons for Selectively Finetuning LLMs to Machine Translation
Tackling the Zero-Shot Reinforcement Learning Loss Directly
A Minimax Optimal Controller for Positive Systems
Parametric Optimization of Violin Top Plates using Machine Learning
Decentralised Multi-Demic Evolutionary Approach to the Dynamic Multi-Agent Travelling Salesman Problem
Asynchronous Distributed Averaging: A Switched System Framework for Average Error Analysis
Support Vector Machine-Based Burnout Risk Prediction with an Interactive Interface for Organizational Use
Serious Games for Cyber Security Education
A Computational Separation Between Quantum No-cloning and No-teleportation
Egocentric Pose Recognition in Four Lines of Code
Knowledge-Guided Adaptive Mixture of Experts for Precipitation Prediction
Multi-way Monte Carlo Method for Linear Systems
Schrödingerization based quantum algorithms for the fractional Poisson equation
Type-driven Neural Programming by Example
Precision and accuracy of acoustic gunshot location in an urban environment
Effective Noise-aware Data Simulation for Domain-adaptive Speech Enhancement Leveraging Dynamic Stochastic Perturbation
Output Feedback Control of a Class of Uncertain Systems Under Control-derivative dependent disturbances
Did You Remember to Test Your Tokens?
Predictive Coding: a Theoretical and Experimental Review
Airport Gate Scheduling for Passengers, Aircraft, and Operation
Rigid Body Dynamic Simulation with Line and Surface Contact
Challenging mitosis detection algorithms: Global labels allow centroid localization
Applicable Regions of Spherical and Plane Wave Models for Extremely Large-Scale Array Communications
Modelling brain connectomes networks: Solv is a worthy competitor to hyperbolic geometry!
Coarse grid corrections in Krylov subspace evaluations of the matrix exponential
Cliff-Learning
Action-Evolution Petri Nets: a Framework for Modeling and Solving Dynamic Task Assignment Problems
Yuan-TecSwin: A text conditioned Diffusion model with Swin-transformer blocks
On the Fiedler value of large planar graphs
Actuator Trajectory Planning for UAVs with Overhead Manipulator using Reinforcement Learning
ACIT: Attention-Guided Cross-Modal Interaction Transformer for Pedestrian Crossing Intention Prediction
From Sound Representation to Model Robustness
Multi-view deep learning based molecule design and structural optimization accelerates the SARS-CoV-2 inhibitor discovery
Flight Dynamics-based Recovery of a UAV Trajectory using Ground Cameras
CAV-AHDV-CAV: Mitigating Traffic Oscillations for CAVs through a Novel Car-Following Structure and Reinforcement Learning
Music transcription modelling and composition using deep learning
Two polynomial algorithms for special maximum matching constructing in trees
Perfect Conductor Boundary Conditions for Geometric Particle-in-Cell Simulations of the Vlasov-Maxwell System in Curvilinear Coordinates
Balanced Overlay Networks (BON): Decentralized Load Balancing via Self-Organized Random Networks
A Parameterized Nonlinear Magnetic Equivalent Circuit for Design and Fast Analysis of Radial Flux Magnetic Gears
A Method Based on Deep Learning for the Detection and Characterization of Cybersecurity Incidents in Internet of Things Devices
Wireless Communication for Low-Altitude Economy with UAV Swarm Enabled Two-Level Movable Antenna System
Feature Combination Meets Attention: Baidu Soccer Embeddings and Transformer based Temporal Detection
HMD-EgoPose: Head-Mounted Display-Based Egocentric Marker-Less Tool and Hand Pose Estimation for Augmented Surgical Guidance
Enhancing Topic Interpretability for Neural Topic Modeling through Topic-wise Contrastive Learning
The SO(3) and SE(3) Lie Algebras of Rigid Body Rotations and Motions and their Application to Discrete Integration, Gradient Descent Optimization, and State Estimation
Quantum Software Analytics: Opportunities and Challenges
Improved Fixed-Rank Nyström Approximation via QR Decomposition: Practical and Theoretical Aspects
Micromobility Flow Prediction: A Bike Sharing Station-level Study via Multi-level Spatial-Temporal Attention Neural Network
Semi-supervsied Learning-based Sound Event Detection using Freuqency Dynamic Convolution with Large Kernel Attention for DCASE Challenge 2023 Task 4
Data Mixture Inference: What do BPE Tokenizers Reveal about their Training Data?
Rethinking Hard-Parameter Sharing in Multi-Task Learning
Content Based Image Retrieval from AWiFS Images Repository of IRS Resourcesat-2 Satellite Based on Water Bodies and Burnt Areas
Efficient Triangle Counting in Large Graphs via Degree-based Vertex Partitioning
DiffMatch: Visual-Language Guidance Makes Better Semi-supervised Change Detector
Unveiling the Mystery of Visual Attributes of Concrete and Abstract Concepts: Variability, Nearest Neighbors, and Challenging Categories
Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels
Situated Multimodal Control of a Mobile Robot: Navigation through a Virtual Environment
Natural Deduction and Normalization Proofs for the Intersection Type Discipline
GraphDefense: Towards Robust Graph Convolutional Networks
Performance Comparison of HTTP/3 and HTTP/2: Proxy vs. Non-Proxy Environments
Algorithmic tests and randomness with respect to a class of measures
Visual Intelligence through Human Interaction
Exploring Theory-Laden Observations in the Brain Basis of Emotional Experience
A Novel Speech Intelligibility Enhancement Model based on CanonicalCorrelation and Deep Learning
DiffRIS: Enhancing Referring Remote Sensing Image Segmentation with Pre-trained Text-to-Image Diffusion Models
Convergence rates for Chernoff-type approximations of convex monotone semigroups
Vision-Based Object Detection for UAV Solar Panel Inspection Using an Enhanced Defects Dataset
Cross-Subject Mind Decoding from Inaccurate Representations
LoLA: Low-Rank Linear Attention With Sparse Caching
Federated Learning for Surgical Vision in Appendicitis Classification: Results of the FedSurg EndoVis 2024 Challenge
VFPred: A Fusion of Signal Processing and Machine Learning techniques in Detecting Ventricular Fibrillation from ECG Signals
Problems of Testology
Effective Overloaded Pilot Assignment with Pilot Decontamination for Cell-Free Systems
FPnew: An Open-Source Multi-Format Floating-Point Unit Architecture for Energy-Proportional Transprecision Computing
RS3Mamba: Visual State Space Model for Remote Sensing Images Semantic Segmentation
Similarity-Based Approaches to Natural Language Processing
One Bit to Rule Them All : Binarizing the Reconstruction in 1-bit Compressive Sensing
Paraconsistent Intuitionistic Fuzzy Relational Data Model
A note on dynamic fair division of multiple resources
Multiple Disciplinary Data Work Practices in Artificial Intelligence Research: a Healthcare Case Study in the UK
A Unified MPC Strategy for a Tilt-rotor VTOL UAV Towards Seamless Mode Transitioning
Towards a Property Preserving Transformation from IEC 61131-3 to BIP
Six Constructions of Difference Families
GeRA: Label-Efficient Geometrically Regularized Alignment
A Novel Approach For Generating Customizable Light Field Datasets for Machine Learning
Active learning in open experimental environments: selecting the right information channel(s) based on predictability in deep kernel learning
Autonomous Navigation of 4WIS4WID Agricultural Field Mobile Robot using Deep Reinforcement Learning
Descriptive complexity for neural networks via Boolean networks
A Closer Look at Audio-Visual Semantic Segmentation
Defensive Alliances in Graphs of Bounded Treewidth
BranchConnect: Large-Scale Visual Recognition with Learned Branch Connections
CuCoTrack: Cuckoo Filter Based Connection Tracking
Automatic Generation of Word Problems for Academic Education via Natural Language Processing (NLP)
Secure uniform random number extraction via incoherent strategies
Enhanced Multi-level Features for Very High Resolution Remote Sensing Scene Classification
Existentially Quantified Systems of Equations as an Implicit Representation of Answers in Logic Programming
Unpaired Multi-modal Segmentation via Knowledge Distillation
FairNorm: Fair and Fast Graph Neural Network Training
Debias your Large Multi-Modal Model at Test-Time with Non-Contrastive Visual Attribute Steering
DeepEM: Deep 3D ConvNets With EM For Weakly Supervised Pulmonary Nodule Detection
Optimal Multiuser Scheduling Schemes for Simultaneous Wireless Information and Power Transfer
Human-Computer Conversation
On the Complexity of Local Distributed Graph Problems
Accelerating Latency-Critical Applications with AI-Powered Semi-Automatic Fine-Grained Parallelization on SMT Processors
Matchmaker: Self-Improving Large Language Model Programs for Schema Matching
Geographic Routing Around Obstacles in Wireless Sensor Networks
ModelAngelo: Automated Model Building in Cryo-EM Maps
The Data Representativeness Criterion: Predicting the Performance of Supervised Classification Based on Data Set Similarity
Accelerate Hybrid Model Predictive Control using Generalized Benders Decomposition
QINNs: Quantum-Informed Neural Networks
Characterization of Covid-19 Dataset using Complex Networks and Image Processing
Query Processing Performance and Searching Over Encrypted Data By Using An Efficient Algorithm
NeRF-based Point Cloud Reconstruction using a Stationary Camera for Agricultural Applications
Instance-Variant Loss with Gaussian RBF Kernel for 3D Cross-modal Retriveal
On some geometric aspects of the class of hv-convex switching components
Against 'softmaxing' culture
Efficient Textual Representation of Structure
Optimal and scalable methods to approximate the solutions of large-scale Bayesian problems: Theory and application to atmospheric inversions and data assimilation
Regularization methods for the short-term forecasting of the Italian electric load
IEEE 802.15.6-based Prototype System for WBAN: Design and Implementation
Beyond Movie Recommendations: Solving the Continuous Cold Start Problem in E-commerceRecommendations
StyleGAN-induced data-driven regularization for inverse problems
Paradigms of Computational Agency
Efficient Algorithms to Enhance Recovery Schema in Link State Protocols
A Framework for Managing Evolving Information Resources on the Data Web
clauseSMT: A NLSAT-Based Clause-Level Framework for Satisfiability Modulo Nonlinear Real Arithmetic Theory
Flymation: Interactive Animation for Flying Robots
Persistent Homology of Coarse Grained State Space Networks
Experimental Estimation of Number of Clusters Based on Cluster Quality
Digital Twins for Internet of Battlespace Things (IoBT) Coalitions
Tolerance-Aware Deep Optics
Coexistence Options and Performance Analysis of 100 Gbit/s Coherent PON in Brownfield DWDM Networks
Optimal Sizing and Pricing of Renewable Power to Ammonia Systems Considering the Limited Flexibility of Ammonia Synthesis
Time Synchronization in modular collaborative robots
Formal modelling and quantitative analysis of satellite navigation systems
GADTs, Functoriality, Parametricity: Pick Two
Optimal Recovery from Inaccurate Data in Hilbert Spaces: Regularize, but what of the Parameter?
Cryptanalysis of an Efficient Signcryption Scheme with Forward Secrecy Based on Elliptic Curve
Integrating Natural Language Processing and Exercise Monitoring for Early Diagnosis of Metabolic Syndrome: A Deep Learning Approach
An Agent Based Classification Model
Random Forest for Malware Classification
Graph-Convolutional-Beta-VAE for Synthetic Abdominal Aorta Aneurysm Generation
A Benchmark API Call Dataset for Windows PE Malware Classification
Early Exit Is a Natural Capability in Transformer-based Models: An Empirical Study on Early Exit without Joint Optimization
MEGL: Multimodal Explanation-Guided Learning
CryptoFormalEval: Integrating LLMs and Formal Verification for Automated Cryptographic Protocol Vulnerability Detection
From Label Error Detection to Correction: A Modular Framework and Benchmark for Object Detection Datasets
Understanding and Improving CNNs with Complex Structure Tensor: A Biometrics Study
mmWall: A Transflective Metamaterial Surface for mmWave Networks
Out-of-distribution generalization via composition: a lens through induction heads in Transformers
Are We Overlooking the Dimensions? Learning Latent Hierarchical Channel Structure for High-Dimensional Time Series Forecasting
Hierarchical Variational Imitation Learning of Control Programs
Training Large Language Models to Reason in a Continuous Latent Space
Numerical Analysis of a Parabolic Variational Inequality System Modeling Biofilm Growth at the Porescale
Evolving Collaboration, Dependencies, and Use in the Rust Open Source Software Ecosystem
Automatic processing proper names in texts
Learning to Collaborate
STITCH: Surface reconstrucTion using Implicit neural representations with Topology Constraints and persistent Homology
Using Visual Language Models to Control Bionic Hands: Assessment of Object Perception and Grasp Inference
Language-Guided Manipulation with Diffusion Policies and Constrained Inpainting
A Comprehensive Survey of Linear, Integer, and Mixed-Integer Programming Approaches for Optimizing Resource Allocation in 5G and Beyond Networks
SenseRay-3D: Generalizable and Physics-Informed Framework for End-to-End Indoor Propagation Modeling
Bioformer: an efficient transformer language model for biomedical text mining
Roads and cities of $18^{th}$ century France
Machine learning for the diagnosis of Parkinson's disease: A systematic review
Fact Checking via Path Embedding and Aggregation
Robust Geospatial Coordination of Multi-Agent Communications Networks Under Attrition
Web-based Semantic Similarity for Emotion Recognition in Web Objects
Low-Rank Online Dynamic Assortment with Dual Contextual Information
StereoSync: Spatially-Aware Stereo Audio Generation from Video
Convergence of Lagrange Finite Element Methods for Maxwell Eigenvalue Problem in 3D
Network Representation Learning for Link Prediction: Are we improving upon simple heuristics?
Topological Data Analysis for True Step Detection in Piecewise Constant Signals
Event-Triggered Tracking Control of Networked Multi-Agent Systems
Global Momentum Estimation of an Electric Power System
On the bottleneck stability of rank decompositions of multi-parameter persistence modules
Assessing Classical Machine Learning and Transformer-based Approaches for Detecting AI-Generated Research Text
On Queueing Theory for Large-Scale CI/CD Pipelines Optimization
Dynamic disruption index across citation and cited references windows: Recommendations for thresholds in research evaluation
PersonalityScanner: Exploring the Validity of Personality Assessment Based on Multimodal Signals in Virtual Reality
Multiprecision computations with Schwarz methods
Spherical Transformer for LiDAR-based 3D Recognition
Initial Model Incorporation for Deep Learning FWI: Pretraining or Denormalization?
Non-asymptotic Upper Bounds for Deletion Correcting Codes
Contracting Self-similar Groups in Group-Based Cryptography
Beyond Ten Turns: Unlocking Long-Horizon Agentic Search with Large-Scale Asynchronous RL
Self-Excited Dynamics of Discrete-Time Lur'e Systems
Uncertainty Guided Depth Fusion for Spike Camera
Optimal backlog in the plane
ONG: One-Shot NMF-based Gradient Masking for Efficient Model Sparsification
PCB-Vision: A Multiscene RGB-Hyperspectral Benchmark Dataset of Printed Circuit Boards
MULTI-CASE: A Transformer-based Ethics-aware Multimodal Investigative Intelligence Framework
Attention as a Perspective for Learning Tempo-invariant Audio Queries
Training LLMs Beyond Next Token Prediction - Filling the Mutual Information Gap
Data-Driven Distributed Optimization via Aggregative Tracking and Deep-Learning
Anatomy of the Internet Peering Disputes
Adv3D: Generating 3D Adversarial Examples in Driving Scenarios with NeRF
Multi-agent Reinforcement Learning for Resource Allocation in IoT networks with Edge Computing
SUGAR: Spherical Ultrafast Graph Attention Framework for Cortical Surface Registration
The Program with a Personality: Analysis of Elk Cloner, the First Personal Computer Virus
Deep Optimization model for Screen Content Image Quality Assessment using Neural Networks
AI Harmonics: a human-centric and harms severity-adaptive AI risk assessment framework
Advances in Implementation, Theoretical Motivation, and Numerical Results for the Nested Iteration with Range Decomposition Algorithm
Analysis of the Geometric Structure of Neural Networks and Neural ODEs via Morse Functions
Spectral Approximation to Fractional Integral Operators
Language Modelling For Task-Oriented Domains
Long-Tailed Multi-Label Retinal Diseases Recognition Using Hierarchical Information and Hybrid Knowledge Distillation
Iterative Loop Learning Combining Self-Training and Active Learning for Domain Adaptive Semantic Segmentation
Speculative Sampling for Parametric Temporal Point Processes
Radiomic fingerprints for knee MR images assessment
Majority Rules: LLM Ensemble is a Winning Approach for Content Categorization
Gravitational wave surrogates through automated machine learning
EncQA: Benchmarking Vision-Language Models on Visual Encodings for Charts
A Decomposition-based Architecture for Distributed Virtual Network Embedding
Designing Bugs or Doing Another Project: Effects on Secondary Students' Self-Beliefs in Computer Science
Adaptive Multi-Neighborhood Attention based Transformer for Graph Representation Learning
Balanced Schnyder woods for planar triangulations: an experimental study with applications to graph drawing and graph separators
Towards explainable artificial intelligence (XAI) for early anticipation of traffic accidents
Enhancing IoT Cyber Attack Detection in the Presence of Highly Imbalanced Data
Neural network interpretability with layer-wise relevance propagation: novel techniques for neuron selection and visualization
A Multiworld Testing Decision Service
FlowMOT: 3D Multi-Object Tracking by Scene Flow Association
Consumer, Commercial and Industrial IoT (In)Security: Attack Taxonomy and Case Studies
The Potential of Machine Learning to Enhance Computational Fluid Dynamics
Parameterized and Approximation Algorithms for Boxicity
PerD: Perturbation Sensitivity-based Neural Trojan Detection Framework on NLP Applications
Personal applications, based on moveable / resizable elements
Weight-based Mask for Domain Adaptation
Seismic Velocity Inversion from Multi-Source Shot Gathers Using Deep Segmentation Networks: Benchmarking U-Net Variants and SeismoLabV3+
A GPU-Accelerated RAG-Based Telegram Assistant for Supporting Parallel Processing Students
How To Make the Gradients Small Stochastically
Discovering High-Quality Process Models Despite Data Scarcity
Data Driven Reward Initialization for Preference based Reinforcement Learning
Network Coding Power Control Mechanisms for Time Varying Channels
AortaDiff: Volume-Guided Conditional Diffusion Models for Multi-Branch Aortic Surface Generation
Home, SafeHome: Smart Home Reliability with Visibility and Atomicity
Saliency map using features derived from spiking neural networks of primate visual cortex
Frequency support Scheme based on parametrized power curve for de-loaded Wind Turbine under various wind speed
Performance Evaluation of Query Plan Recommendation with Apache Hadoop and Apache Spark
Learning production functions for supply chains with graph neural networks
Stochastic Averaging for Constrained Optimization with Application to Online Resource Allocation
Faster-than-Nyquist Signaling is Good for Single-Carrier ISAC: An Analytical Study
A Method of Evaluating Effect of QoS Degradation on Multidimensional QoE of Web Service with ISO - based Usability
Deep Reinforcement Learning for Real-Time Green Energy Integration in Data Centers
Validation of human benchmark models for Automated Driving System approval: How competent and careful are they really?
Plant Equivalent Controller Realizations for Attack-Resilient Cyber-Physical Systems
Structured-based Curriculum Learning for End-to-end English-Japanese Speech Translation
Multilingual Persuasion Detection: Video Games as an Invaluable Data Source for NLP
Throughput-Outage Scaling Behaviors for Wireless Single-Hop D2D Caching Networks with Physical Model - Analysis and Derivations
Adaptive Federated Few-Shot Rare-Disease Diagnosis with Energy-Aware Secure Aggregation
FakeFormer: Efficient Vulnerability-Driven Transformers for Generalisable Deepfake Detection
FedD2S: Personalized Data-Free Federated Knowledge Distillation
The Kolmogorov Infinite Dimensional Equation in a Hilbert space Via Deep Learning Methods
Reconciling Different Theories of Learning with an Agent-based Model of Procedural Learning
Maps on the basis of the Arts & Humanities Citation Index: The journals Leonardo and Art Journal versus "Digital Humanities" as a topic
Igloo: Soundly Linking Compositional Refinement and Separation Logic for Distributed System Verification
Inquiry of P-reduction in Cook's 1971 Paper - from Oracle machine to Turing machine
Semantic-Enhanced Cross-Modal Place Recognition for Robust Robot Localization
Modification tolerant signature schemes: location and correction
LEAPT: Learning Adaptive Prefix-to-prefix Translation For Simultaneous Machine Translation
Personal+Context navigation: combining AR and shared displays in network path-following
New Model of Network- a Future Aspect of the Computer Networks
Threats and Opportunities: Blockchain Meets Quantum Computation
Learning Green's functions associated with parabolic partial differential equations
Autoregressive Image Generation Needs Only a Few Lines of Cached Tokens
EC-SfM: Efficient Covisibility-based Structure-from-Motion for Both Sequential and Unordered Images
Duality of Channel Encoding and Decoding - Part II: Rate-1 Non-binary Convolutional Codes
Fine Grained Classification of Personal Data Entities
Calibrate to Discriminate: Improve In-Context Learning with Label-Free Comparative Inference
Does the multiresolution lattice Boltzmann method allow to deal with waves passing through mesh jumps?
Meaningfulness and Genericity in a Subsuming Framework
Zero-Shot Stance Detection using Contextual Data Generation with LLMs