yusuke1997/dblp-id-title huggingface dataset:
Artificial Intelligence for Microbiology and Microbiome Research
The ND-IRIS-0405 Iris Image Dataset
PiBooster: A Light-Weight Approach to Performance Improvements in Page Table Management for Paravirtual Virtual-Machines
Do LLMs Understand Your Translations? Evaluating Paragraph-level MT with Question Answering
Locating Transparent Objects to Millimetre Accuracy
Stochastic Embedding of Digraphs into DAGs
The Ethics of AI Value Chains: An Approach for Integrating and Expanding AI Ethics Research, Practice, and Governance
Wind Estimation Using Quadcopter Motion: A Machine Learning Approach
Fast k-means algorithm clustering
CustomIR: Unsupervised Fine-Tuning of Dense Embeddings for Known Document Corpora
MTS Sketch for Accurate Estimation of Set-Expression Cardinalities from Small Samples
Fast and Simple Methods For Computing Control Points
Supporting the monitoring of the verification process of critical systems'software
The virtual drum circle: polyrhythmic music interactions in extended reality
Restricted Airspace Protection using Multi-UAV Spatio-TemporalMulti-Task Allocation
PoGO: A Scalable Proof of Useful Work via Quantized Gradient Descent and Merkle Proofs
A resource-efficient method for repeated HPO and NAS problems
MINT: Multiplier-less Integer Quantization for Spiking Neural Networks
Synthetic Feature Augmentation Improves Generalization Performance of Language Models
Engineering Reliable Deep Learning Systems
Localization in Terahertz-Operating Energy Harvesting Software-Defined Metamaterials
CVCP-Fusion: On Implicit Depth Estimation for 3D Bounding Box Prediction
Guided Semi-Supervised Non-negative Matrix Factorization on Legal Documents
Time-scales, Meaning, and Availability of Information in a Global Brain
Masked Diffusion for Generative Recommendation
EL4NER: Ensemble Learning for Named Entity Recognition via Multiple Small-Parameter Large Language Models
A Survey and Evaluation of Adversarial Attacks for Object Detection
On stable invertibility and global Newton convergence for convex monotonic functions
Overlap-aware segmentation for topological reconstruction of obscured objects
A Systematic Literature Review of Automated Techniques for Functional GUI Testing of Mobile Applications
Imposing Gaussian Pre-Activations in a Neural Network
CAPEEN: Image Captioning with Early Exits and Knowledge Distillation
DCT-MARL: A Dynamic Communication Topology-Based MARL Algorithm for Connected Vehicle Platoon Control
Low-Synch Gram-Schmidt with Delayed Reorthogonalization for Krylov Solvers
Active headrest combined with a depth camera-based ear-positioning system
Computational Complexity Comparison Of Multi-Sensor Single Target Data Fusion Methods By Matlab
Analysis of Link Formation, Persistence and Dissolution in NetSense Data
Speeding up and reducing memory usage for scientific machine learning via mixed precision
E2E Learning Massive MIMO for Multimodal Semantic Non-Orthogonal Transmission and Fusion
Compass-Thinker-7B Technical Report
Privacy at Risk: Exploiting Similarities in Health Data for Identity Inference
The Rise of Quantum Internet Computing
Neural translation and automated recognition of ICD10 medical entities from natural language
Edge Graph Neural Networks for Massive MIMO Detection
A construction of universal secure network coding
GASS: Generalizing Audio Source Separation with Large-scale Data
On the interplay between Babai and Černý's conjectures
Diet Networks: Thin Parameters for Fat Genomic
Contextual Policy Reuse using Deep Mixture Models
DECT-based Space-Squeeze Method for Multi-Class Classification of Metastatic Lymph Nodes in Breast Cancer
Entropy Stable p-Nonconforming Discretizations with the Summation-by-Parts Property for the Compressible Euler equations
Attention-gating for improved radio galaxy classification
Numerical application and Turbo C program using the Gauss-Jordan Method
Causing is Achieving - A solution to the problem of causation
Under Pressure: Learning to Detect Slip with Barometric Tactile Sensors
Probabilistic Digital Twins of Users: Latent Representation Learning with Statistically Validated Semantics
A Novel Idea Generation Tool using a Structured Conversational AI (CAI) System
Dynamic Adaptive Threshold based Learning for Noisy Annotations Robust Facial Expression Recognition
Supervisory Control of Probabilistic Discrete Event Systems under Partial Observation
SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers
Meta-Learning-Based Delayless Subband Adaptive Filter using Complex Self-Attention for Active Noise Control
Connecting Distributed Pockets of EnergyFlexibility through Federated Computations: Limitations and Possibilities
Event-based Vision for Early Prediction of Manipulation Actions
BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection
Learning Deep Representations for Scene Labeling with Semantic Context Guided Supervision
Troika algorithm: approximate optimization for accurate clique partitioning and clustering of weighted networks
KeypointNet: A Large-scale 3D Keypoint Dataset Aggregated from Numerous Human Annotations
Experimental Study of Adversarial Attacks on ML-based xApps in O-RAN
Enhancing Socially-Aware Robot Navigation through Bidirectional Natural Language Conversation
Quantum versus Classical Online Algorithms with Advice and Logarithmic Space
CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage
Improving Cooperation in Collaborative Embodied AI
A Comparative Analysis of Retrieval-Augmented Generation Techniques for Bengali Standard-to-Dialect Machine Translation Using LLMs
Generalized Bandit Regret Minimizer Framework in Imperfect Information Extensive-Form Game
Steering Large Language Models to Evaluate and Amplify Creativity
Collision-Free Poisson Motion Planning in Ultra High-Dimensional Molecular Conformation Spaces
Analysis of the Optimization Landscapes for Overcomplete Representation Learning
Conditional Diffusion Model with Anatomical-Dose Dual Constraints for End-to-End Multi-Tumor Dose Prediction
T-ILR: a Neurosymbolic Integration for LTLf
Distributional Offline Continuous-Time Reinforcement Learning with Neural Physics-Informed PDEs (SciPhy RL for DOCTR-L)
Self-Supervised Depth Estimation with Isometric-Self-Sample-Based Learning
Understand Code Style: Efficient CNN-based Compiler Optimization Recognition System
asKAN: Active Subspace embedded Kolmogorov-Arnold Network
Multivariate Convolutional Sparse Coding with Low Rank Tensor
Explaining Human Comparisons using Alignment-Importance Heatmaps
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse
Quaternary Constant-Composition Codes with Weight Four and Distances Five or Six
CISO: Species Distribution Modeling Conditioned on Incomplete Species Observations
Probabilistic learning inference of boundary value problem with uncertainties based on Kullback-Leibler divergence under implicit constraints
Online Meta-Learning Channel Autoencoder for Dynamic End-to-end Physical Layer Optimization
Energy-Efficient Node Deployment in Heterogeneous Two-Tier Wireless Sensor Networks with Limited Communication Range
Modular SAIL: dream or reality?
Dilated Point Convolutions: On the Receptive Field of Point Convolutions
Solving Constrained Horn Clauses over ADTs by Finite Model Finding
Unsupervised Anomaly Localization using Variational Auto-Encoders
TANGO: Graph Neural Dynamics via Learned Energy and Tangential Flows
On Text Simplification Metrics and General-Purpose LLMs for Accessible Health Information, and A Potential Architectural Advantage of The Instruction-Tuned LLM class
Recent Advances in Reliable Deep Graph Learning: Adversarial Attack, Inherent Noise, and Distribution Shift
Towards Bridging the Performance Gaps of Joint Energy-based Models
Towards Node Liability in Federated Learning: Computational Cost and Network Overhead
AoI-Aware Task Offloading and Transmission Optimization for Industrial IoT Networks: A Branching Deep Reinforcement Learning Approach
The Satisfactory Partition Problem
EDF: Ensemble, Distill, and Fuse for Easy Video Labeling
Hierarchical Dual-Head Model for Suicide Risk Assessment via MentalRoBERTa
Experimenting with Multi-Agent Software Development: Towards a Unified Platform
Interaction Systems and Linear Logic, a different games semantics
MIDMod-OSN: A Microscopic-level Information Diffusion Model for Online Social Networks
Exploration and Exploitation in Symbolic Regression using Quality-Diversity and Evolutionary Strategies Algorithms
Approximate Inference via Fibrations of Statistical Games
An Integrated Recommender Algorithm for Rating Prediction
New Binary Quantum Codes Constructed from Quasi-Cyclic Codes
Automatic answering of scientific questions using the FACTS-V1 framework: New methods in research to increase efficiency through the use of AI
Moment Estimation for Nonparametric Mixture Models Through Implicit Tensor Decomposition
Children's Mental Models of Generative Visual and Text Based AI Models
Improved efficiency of multilevel Monte Carlo for stochastic PDE through strong pairwise coupling
Fair Tree Learning
A simple coding-decoding algorithm for the Hamming code
Phase Retrieval via Linear Programming: Fundamental Limits and Algorithmic Improvements
Deep image prior inpainting of ancient frescoes in the Mediterranean Alpine arc
FuzzFeed: An Automatic Approach to Weakest Precondition Generation using LLMs and Fuzzing
Modeling Parallel Programs using Large Language Models
Dynamic Directional Routing of Freight in the Physical Internet
A short note on the stability of a class of parallel Runge-Kutta methods
To the Attention of Mobile Software Developers: Guess What, Test your App!
Efficient sequential and parallel algorithms for multistage stochastic integer programming using proximity
Asynchronous Gossip Algorithms for Rank-Based Statistical Methods
Optimal Impulse Control of SIR Epidemics over Scale-Free Networks
Diagnosis of Helicobacter pylori using AutoEncoders for the Detection of Anomalous Staining Patterns in Immunohistochemistry Images
SR-PredictAO: Session-based Recommendation with High-Capability Predictor Add-On
Transpiling Programmable Computable Functions to Answer Set Programs
seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models
TAPS Responsibility Matrix: A tool for responsible data science by design
Phase Transition in the Maximal Influence Problem: When Do We Need Optimization?
Monaural source enhancement maximizing source-to-distortion ratio via automatic differentiation
Forecasting of Indian Rupee (INR) / US Dollar (USD) Currency Exchange Rate Using Artificial Neural Network
Towards Intelligent Interactive Theatre: Drama Management as a way of Handling Performance
Sample complexity of quantum hypothesis testing
Leveraging Low-rank Factorizations of Conditional Correlation Matrices in Graph Learning
Towards a Categorical Representation of Reversible Event Structures
Supporting Assessment of Novelty of Design Problems Using Concept of Problem SAPPhIRE
Heterogeneous MPSoCs for Mixed Criticality Systems: Challenges and Opportunities
Deep Active Graph Representation Learning
Multi-resolution Outlier Pooling for Sorghum Classification
FPDIoU Loss: A Loss Function for Efficient Bounding Box Regression of Rotated Object Detection
Predicting Drug-Drug Interactions Using Heterogeneous Graph Neural Networks: HGNN-DDI
Self-Supervised Graph Representation Learning via Global Context Prediction
Radial Contour Labeling with Straight Leaders
Planar graphs without pairwise adjacent 3-, 4-, 5-, and 6-cycle are 4-choosable
Language identification as improvement for lip-based biometric visual systems
Differentiable SLAM-net: Learning Particle SLAM for Visual Navigation
Discrete-Time Conewise Linear Systems with Finitely Many Switches
University Building Recognition Dataset in Thailand for the mission-oriented IoT sensor system
Security Engineering for ISO 21434
LUCID: Receiver-aware Model-based Data Communication for Low-power Wireless Networks
ThingFO v1.2's Terms, Properties, Relationships and Axioms - Foundational Ontology for Things
Probabilistic Interval Analysis of Unreliable Programs
Deep Speech Enhancement for Reverberated and Noisy Signals using Wide Residual Networks
A Novel Data Pre-processing Technique: Making Data Mining Robust to Different Units and Scales of Measurement
Sleep Period Optimization Model For Layered Video Service Delivery Over eMBMS Networks
Learning the random variables in Monte Carlo simulations with stochastic gradient descent: Machine learning for parametric PDEs and financial derivative pricing
Two-path Deep Semi-supervised Learning for Timely Fake News Detection
Overview of the 2023 ICON Shared Task on Gendered Abuse Detection in Indic Languages
GSVR: 2D Gaussian-based Video Representation for 800+ FPS with Hybrid Deformation Field
A Comprehensive Survey of Large Language Models and Multimodal Large Language Models in Medicine
Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering
#Secim2023: First Public Dataset for Studying Turkish General Election
Consensus+Innovations Distributed Kalman Filter with Optimized Gains
A parametric algorithm is optimal for non-parametric regression of smooth functions
The Use of the Simplex Architecture to Enhance Safety in Deep-Learning-Powered Autonomous Systems
Identifying Layers Susceptible to Adversarial Attacks
What increases (social) media attention: Research impact, author prominence or title attractiveness?
Asynchronous games: innocence without alternation
Unsupervised Domain Adaptation with Variational Approximation for Cardiac Segmentation
Uncertainty Quantification with Proper Scoring Rules: Adjusting Measures to Prediction Tasks
On-Air Deep Learning Integrated Semantic Inference Models for Enhanced Earth Observation Satellite Networks
Pyramidal Patchification Flow for Visual Generation
Curriculum-Guided Antifragile Reinforcement Learning for Secure UAV Deconfliction under Observation-Space Attacks
Attention Map Guided Transformer Pruning for Edge Device
Interleaving Channel Estimation and Limited Feedback for Point-to-Point Systems with a Large Number of Transmit Antennas
Emotions are Universal: Learning Sentiment Based Representations of Resource-Poor Languages using Siamese Networks
Directed Random Geometric Graphs
Energy and SLA aware VM Scheduling
Efficient and Scalable Deep Reinforcement Learning for Mean Field Control Games
Best Effort versus Spectrum Markets: Best Effort versus Spectrum Markets: The Cases of European MVNOs and (Ultra)Wideband Unlicensed Services
Universal Abstraction: Harnessing Frontier Models to Structure Real-World Data at Scale
Survey of Methods for Solving Systems of Nonlinear Equations, Part I: Root-finding Approaches
Performance Estimation for Supervised Medical Image Segmentation Models on Unlabeled Data Using UniverSeg
Regression with Deep Learning for Sensor Performance Optimization
HTTP2vec: Embedding of HTTP Requests for Detection of Anomalous Traffic
Bounded Degree Approximations of Stochastic Networks
Learning to Assemble the Soma Cube with Legal-Action Masked DQN and Safe ZYZ Regrasp on a Doosan M0609
Advanced Data Augmentation Approaches: A Comprehensive Survey and Future directions
Queries mining for efficient routing in P2P communities
Agent-Based Model for Rural-Urban Migration: A Dynamic Consideration
A Logical Framework for Set Theories
Mind Reading or Misreading? LLMs on the Big Five Personality Test
Autonomous Issue Resolver: Towards Zero-Touch Code Maintenance
Hidden chaos factors inducing random walks which reduce hospital operative efficiency
Dense Subgraph Clustering and a New Cluster Ensemble Method
An AI-powered blood test to detect cancer using nanoDSF
Hierarchical Evaluation Framework: Best Practices for Human Evaluation
Cryptanalysis of a System based on Twisted Dihedral Group Algebras
Self-Supervised Learning of a Biologically-Inspired Visual Texture Model
A Baseline Approach for AutoImplant: the MICCAI 2020 Cranial Implant Design Challenge
Similarity-and-Independence-Aware Beamformer: Method for Target Source Extraction using Magnitude Spectrogram as Reference
Vision-Language-Vision Auto-Encoder: Scalable Knowledge Distillation from Diffusion Models
Stability for the Training of Deep Neural Networks and Other Classifiers
Weakly-supervised Deep Anomaly Detection with Pairwise Relation Learning
Pruning Bayesian Networks for Efficient Computation
MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework
LLM as HPC Expert: Extending RAG Architecture for HPC Data
Design and Implementation of Aggregate Functions in the DLV System
A review of single-source unsupervised domain adaptation
Silhouette-based Gait Foundation Model
Trustworthy and Efficient LLMs Meet Databases
The Fekete problem in segmental polynomial interpolation
Challenges in Annotation of useR Data for UbiquitOUs Systems: Results from the 1st ARDUOUS Workshop
A Multi-robot Coverage Path Planning Algorithm Based on Improved DARP Algorithm
Public interest in science or bots? Selective amplification of scientific articles on Twitter
CleanML: A Benchmark for Joint Data Cleaning and Machine Learning [Experiments and Analysis]
Medical Dataset Classification for Kurdish Short Text over Social Media
Predicting the Path of an Open System
Quality Control in Crowdsourced Object Segmentation
Mathematical Challenges in Deep Learning
SeqPE: Transformer with Sequential Position Encoding
On sparse interpolation and the design of deterministic interpolation points
Concentration via Metastable Mixing, with Applications to the Supercritical Exponential Random Graph Model
Mansformer: Efficient Transformer of Mixed Attention for Image Deblurring and Beyond
Decoherence time in quantum harmonic oscillators as quantum memory systems
Begin, After, and Later: a Maximal Decidable Interval Temporal Logic
LLMs' Classification Performance is Overclaimed
Are monochromatic Pythagorean triples avoidable?
Tight Approximation Ratio of Anonymous Pricing
UniForm: A Reuse Attention Mechanism Optimized for Efficient Vision Transformers on Edge Devices
Bipartite Stochastic Matching: Online, Random Order, and I.I.D. Models
Learning Forward Reuse Distance
Music Genre Classification with ResNet and Bi-GRU Using Visual Spectrograms
Distributed Multi-objective Optimization in Cyber-Physical Energy Systems
Photo-realistic Face Images Synthesis for Learning-based Fine-scale 3D Face Reconstruction
MOBA: a New Arena for Game AI
Embracing Errors is More Efficient than Avoiding Them through Constrained Coding for DNA Data Storage
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges
Joint Visual and Temporal Consistency for Unsupervised Domain Adaptive Person Re-Identification
Explainable Reinforcement Learning Agents Using World Models
Sum-Product Networks for Hybrid Domains
Linear Programming Approaches for Power Savings in Software-defined Networks (The Extended Version)
"Maximizing rigidity" revisited: a convex programming approach for generic 3D shape reconstruction from multiple perspective views
CodeCloak: A Method for Evaluating and Mitigating Code Leakage by LLM Code Assistants
Modelling Reactive and Proactive Behaviour in Simulation
SingleSketch2Mesh : Generating 3D Mesh model from Sketch
Glass Segmentation with Multi Scales and Primary Prediction Guiding
Quantifying the Ease of Reproducing Training Data in Unconditional Diffusion Models
Language Detection for Transliterated Content
PainPoints: A Framework for Language-based Detection of Chronic Pain and Expert-Collaborative Text-Summarization
Employing Discrete Fourier Transform in Representational Learning
DeepDRR - A Catalyst for Machine Learning in Fluoroscopy-guided Procedures
Towards the Resistance of Neural Network Watermarking to Fine-tuning
Personality Differences Drive Conversational Dynamics: A High-Dimensional NLP Approach
Scheduling and Checkpointing optimization algorithm for Byzantine fault tolerance in Cloud Clusters
Exploring Learned Representations of Neural Networks with Principal Component Analysis
You Really Shouldn't Roll Your Own Crypto: An Empirical Study of Vulnerabilities in Cryptographic Libraries
PriFi: A Low-Latency Local-Area Anonymous Communication Network
Extracting Relational Triples Based on Graph Recursive Neural Network via Dynamic Feedback Forest Algorithm
MOSLIM:Align with diverse preferences in prompts through reward classification
Analysis on Riemann Hypothesis with Cross Entropy Optimization and Reasoning
ReTok: Replacing Tokenizer to Enhance Representation Efficiency in Large Language Model
Prefix Sums via Kronecker Products
Assessing the Role of Random Forests in Medical Image Segmentation
Analyzing the Abstractiveness-Factuality Tradeoff With Nonlinear Abstractiveness Constraints
BiSTF: Bilateral-Branch Self-Training Framework for Semi-Supervised Large-scale Fine-Grained Recognition
On cobweb posets most relevant codings
Reality's Canvas, Language's Brush: Crafting 3D Avatars from Monocular Video
Latent Effects for Reusable Language Components: Extended Version
Japanese Tort-case Dataset for Rationale-supported Legal Judgment Prediction
Competition and partnership between conformity and payoff-based imitations in social dilemmas
GIViC: Generative Implicit Video Compression
Deconstructing analogy
Deep Depth Prior for Multi-View Stereo
Neural Compression of 360-Degree Equirectangular Videos using Quality Parameter Adaptation
MoA-VR: A Mixture-of-Agents System Towards All-in-One Video Restoration
3-color Bounded Patterned Self-assembly
Geometric Learning of Hidden Markov Models via a Method of Moments Algorithm
Bridge the Modality and Capacity Gaps in Vision-Language Model Selection
Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations
Turbo-Sim: a generalised generative model with a physical latent space
Towards Multi-robot Exploration: A Decentralized Strategy for UAV Forest Exploration
Facial Expression Recognition using Convolutional Neural Networks: State of the Art
Database Reformulation with Integrity Constraints (extended abstract)
Robust Control of a Surface Vessel with Adaptive Rejection of Disturbances with Unknown Parameters
DSM: Building A Diverse Semantic Map for 3D Visual Grounding
Hybrid Mamba-Transformer Decoder for Error-Correcting Codes
Out-of-distribution Prediction with Invariant Risk Minimization: The Limitation and An Effective Fix
Relational Algebra for In-Database Process Mining
A two-step model and the algorithm for recalling in recommender systems
Real-time gait planner for human walking using a lower limb exoskeleton and its implementation on Exoped robot
Distributed Nonlinear MPC of Multi-Agent Systems with Data Compression and Random Delays - Extended Version
Mathematical Modelling of TEAM and VTEAM Memristor Model Using VerilogA
Train Deep Neural Networks in 40-D Subspaces
Outlier-Robust Group Inference via Gradient Space Clustering
Idris TyRE: a dependently typed regex parser
DeBERTa: Decoding-enhanced BERT with Disentangled Attention
Security Weakness of Flexible Group Key Exchange with On-Demand Computation of Subgroup Keys
Asynchronous Distributed Coordinated Hybrid Precoding in Multi-cell mmWave Wireless Networks
Testing isomorphism of lattices over CM-orders
DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images
Human-Robot Collaboration for the Remote Control of Mobile Humanoid Robots with Torso-Arm Coordination
Discriminator-Guided Multi-step Reasoning with Language Models
SNR Estimation in Linear Systems with Gaussian Matrices
Empowering Medical Multi-Agents with Clinical Consultation Flow for Dynamic Diagnosis
Improving Korean-English Cross-Lingual Retrieval: A Data-Centric Study of Language Composition and Model Merging
Statistical and Computational Guarantees of Lloyd's Algorithm and its Variants
Generating Knowledge Graphs from Large Language Models: A Comparative Study of GPT-4, LLaMA 2, and BERT
Pseudo Dynamic Transitional Modeling of Building Heating Energy Demand Using Artificial Neural Network
Deletion Inference, Reconstruction, and Compliance in Machine (Un)Learning
Explicit Proofs and The Flip
Domestic sound event detection by shift consistency mean-teacher training and adversarial domain adaptation