yusuke1997/dblp-id-title huggingface dataset:
FGA-NN: Film Grain Analysis Neural Network
Measuring Americanization: A Global Quantitative Study of Interest in American Topics on Wikipedia
Extending the design space of ontologization practices: Using bCLEARer as an example
Trade-off Between Optimal Efficiency and Envelope Correlation Coefficient for Antenna Clusters
Garbage Collection Techniques for Flash-Resident Page-Mapping FTLs
Quality-Controlled Multimodal Emotion Recognition in Conversations with Identity-Based Transfer Learning and MAMBA Fusion
Kalman filters as the steady-state solution of gradient descent on variational free energy
Hybridization of Persistent Homology with Neural Networks for Time-Series Prediction: A Case Study in Wave Height
A Variational-Calculus Approach to Online Algorithm Design and Analysis
Women, Infamous, and Exotic Beings: What Honorific Usages in Wikipedia Reveal about the Socio-Cultural Norms
T-CGAN: Conditional Generative Adversarial Network for Data Augmentation in Noisy Time Series with Irregular Sampling
ORPR: An OR-Guided Pretrain-then-Reinforce Learning Model for Inventory Management
PointIso: Point Cloud Based Deep Learning Model for Detecting Arbitrary-Precision Peptide Features in LC-MS Map through Attention Based Segmentation
Weighted Quasi Interpolant Spline Approximations: Properties and Applications
MMA-Sim: Bit-Accurate Reference Model of Tensor Cores and Matrix Cores
GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and Images
Design-Informed Kinematic Control for Improved Dexterous Teleoperation of a Bilateral Manipulator System
Exploiting Semiconductor Properties for Hardware Trojans
Hierarchical Low-Altitude Wireless Network Empowered Air Traffic Management
Control of systems in Lure form over erasure channel
PPAC Driven Multi-die and Multi-technology Floorplanning
Structured Kernel Regression VAE: A Computationally Efficient Surrogate for GP-VAEs in ICA
Future Prediction Can be a Strong Evidence of Good History Representation in Partially Observable Environments
Task-Guided Inverse Reinforcement Learning Under Partial Information
Algorithm-agnostic low-rank approximation of operator monotone matrix functions
Embedding-Space Data Augmentation to Prevent Membership Inference Attacks in Clinical Time Series Forecasting
Construction of transitive MDS codes
About the finding of independent vertices of a graph
Error Bounds on Derivatives during Simulations
Different Stages of Wearable Health Tracking Adoption & Abandonment: A Survey Study and Analysis
Query-based Logo Segmentation
Decentralized Parameter-Free Online Learning
Designing Informative Rating Systems for Online Platforms: Evidence from Two Experiments
Fostering Collective Discourse: A Distributed Role-Based Approach to Online News Commenting
Positive-Unlabeled Learning with Uncertainty-aware Pseudo-label Selection
Adaptive Group Lasso Neural Network Models for Functions of Few Variables and Time-Dependent Data
Random Construction of Partial MDS Codes
Analysis of Periodic Feedback Shift Registers
Active Learning via Vision-Language Model Adaptation with Open Data
Towards a Coalgebraic Interpretation of Propositional Dynamic Logic
Stabilizing knowledge through standards - A perspective for the humanities
Survey on Internet of Things enabled by 6G Wireless Networks
Adaptive Perception for Unified Visual Multi-modal Object Tracking
Rheumatoid Arthritis: Automated Scoring of Radiographic Joint Damage
Generative Scene Synthesis via Incremental View Inpainting using RGBD Diffusion Models
On cyclic DNA codes over the Ring $\Z_4 + u \Z_4$
Why Are Positional Encodings Nonessential for Deep Autoregressive Transformers? Revisiting a Petroglyph
Improving Neural Pitch Estimation with SWIPE Kernels
DELPHYNE: A Pre-Trained Model for General and Financial Time Series
Pairing-based graph neural network for simulating quantum materials
Exploring Server-side Blocking of Regions
Behavioural Theory of Reflective Algorithms II: Reflective Parallel Algorithms
Dynamic Net Metering for Energy Communities
Empowering Interdisciplinary Research with BERT-Based Models: An Approach Through SciBERT-CNN with Topic Modeling
Diversity-Guided MLP Reduction for Efficient Large Vision Transformers
Predicting the Price of Gold in the Financial Markets Using Hybrid Models
Leveraging BEV Representation for 360-degree Visual Place Recognition
Fine-grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images
Investigating the Combination of Planning-Based and Data-Driven Methods for Goal Recognition
A phase-sensitive method for filtering on the sphere
Consistent Channel Hopping Algorithms for the Multichannel Rendezvous Problem with Heterogeneous Available Channel Sets
Analyzing and Mitigating Negation Artifacts using Data Augmentation for Improving ELECTRA-Small Model Accuracy
Animatable Neural Radiance Fields from Monocular RGB Video
SAUP: Situation Awareness Uncertainty Propagation on LLM Agent
Constructing cost-effective infrastructure networks
VP-AutoTest: A Virtual-Physical Fusion Autonomous Driving Testing Platform
Distilling Double Descent
Using KL-Divergence to Focus Frequency Information in Low-Light Image Enhancement
Safety-Critical Edge Robotics Architecture with Bounded End-to-End Latency
A distributed hypergraph model for the full-scale simulation of the collaborations in dblp
SentenceVAE: Enable Next-sentence Prediction for Large Language Models with Faster Speed, Higher Accuracy and Longer Context
Towards Faithful Class-level Self-explainability in Graph Neural Networks by Subgraph Dependencies
FedDRO: Federated Compositional Optimization for Distributionally Robust Learning
AdaK-NER: An Adaptive Top-K Approach for Named Entity Recognition with Incomplete Annotations
Routing Dynamics in Distributed Quantum Networks
Some problems with two axiomatizations of discussive logic
Weakly Supervised Invariant Representation Learning Via Disentangling Known and Unknown Nuisance Factors
A HoTT Quantum Equational Theory (Extended Version)
Self-Regression Learning for Blind Hyperspectral Image Fusion Without Label
APTAS for bin packing with general cost structures
Self-Supervised Gaussian Regularization of Deep Classifiers for Mahalanobis-Distance-Based Uncertainty Estimation
Splines-Based Feature Importance in Kolmogorov-Arnold Networks: A Framework for Supervised Tabular Data Dimensionality Reduction
Quantile-Based Randomized Kaczmarz for Corrupted Tensor Linear Systems
Reinforcement Learning-Driven Test Generation for Android GUI Applications using Formal Specifications
Applying QNLP to sentiment analysis in finance
Exploration of latent space of LOD2 GML dataset to identify similar buildings
A Machine Learning Approach for Crop Yield and Disease Prediction Integrating Soil Nutrition and Weather Factors
A Banach space formulation for the fully dynamic Navier-Stokes-Biot coupled problem
A Review: Random Walk in Graph Sampling
Using Spectral Submanifolds for Optimal Mode Selection in Model Reduction
AutoShrink: A Topology-aware NAS for Discovering Efficient Neural Architecture
Attention versus Contrastive Learning of Tabular Data - A Data-centric Benchmarking
Artificial intelligence for representing and characterizing quantum systems
Robotic Grasp Detection using Deep Convolutional Neural Networks
A Controllable Appearance Representation for Flexible Transfer and Editing
An analysis of the SIGMOD 2014 Programming Contest: Complex queries on the LDBC social network graph
Assessment of Response Time for New Multi Level Feedback Queue Scheduler
Metabolomics in the Cloud: Scaling Computational Tools to Big Data
ICL-TSVD: Bridging Theory and Practice in Continual Learning with Pre-trained Models
Not All Tokens are Guided Equal: Improving Guidance in Visual Autoregressive Models
Resilience-oriented Planning and Cost Allocation of Energy Storage Integrated with Soft Open Point Based on Resilience Insurance
Object Preserving Siamese Network for Single Object Tracking on Point Clouds
Fake detection in imbalance dataset by Semi-supervised learning with GAN
Fractional Collisions: A Framework for Risk Estimation of Counterfactual Conflicts using Autonomous Driving Behavior Simulations
Optimal Demand Response Using Device Based Reinforcement Learning
Brain Tumor Classification by Cascaded Multiscale Multitask Learning Framework Based on Feature Aggregation
Boxhead: A Dataset for Learning Hierarchical Representations
Intelligent Spatial Perception by Building Hierarchical 3D Scene Graphs for Indoor Scenarios with the Help of LLMs
Machine Learning Guided 3D Image Recognition for Carbonate Pore and Mineral Volumes Determination
Delay Function with Fixed Effort Verification
CNNs are Myopic
Single-Agent On-line Path Planning in Continuous, Unpredictable and Highly Dynamic Environments
Obstacle Avoidance using Dynamic Movement Primitives and Reinforcement Learning
D-VPnet: A Network for Real-time Dominant Vanishing Point Detection in Natural Scenes
Sequence Variables: A Constraint Programming Computational Domain for Routing and Sequencing
Energy-Efficient Vision Transformer Inference for Edge-AI Deployment
Ensured Energy: A simulation game to elicit preferences around Swiss energy transition pathways
Precoding for Multi-Cell ISAC: from Coordinated Beamforming to Coordinated Multipoint and Bi-Static Sensing
Automatic Ship Classification Utilizing Bag of Deep Features
MMoFusion: Multi-modal Co-Speech Motion Generation with Diffusion Model
Video Rescaling Networks with Joint Optimization Strategies for Downscaling and Upscaling
Transductive Propagation Network for Few-shot Learning
From Open Source Intelligence to Decision Making: a Hybrid Approach
4Hammer: a board-game reinforcement learning environment for the hour long time frame
Augment Before Copy-Paste: Data and Memory Efficiency-Oriented Instance Segmentation Framework for Sport-scenes
Existence conditions for hidden feedback loops in online recommender systems
Supervised and Penalized Baseline Correction
Accelerating science with human versus alien artificial intelligences
Fuzzy inference system application for oil-water flow patterns identification
Preference Learning with Response Time
Machine Learning based optimization for interval uncertainty propagation with application to vibro-acoustic models
CausalMesh: A Formally Verified Causal Cache for Stateful Serverless Computing
Is Surprisal in Issue Trackers Actionable?
Regression-Based Model Error Compensation for Hierarchical MPC Building Energy Management System
Microprocessor Optimizations for the Internet of Things
Hypergraphs: an introduction and review
Rectifier Neural Network with a Dual-Pathway Architecture for Image Denoising
Performance Comparisons of PSO based Clustering
Joint Optimal Pricing and Electrical Efficiency Enforcement for Rational Agents in Micro Grids
SemEval 2023 Task 9: Multilingual Tweet Intimacy Analysis
Approximation Algorithms for Max-Morse Matching
What is causal about causal models and representations?
A Modular, Data-Free Pipeline for Multi-Label Intention Recognition in Transportation Agentic AI Applications
Managing Reliability Skew in DNA Storage
Towards Artificial Intelligence Research Assistant for Expert-Involved Learning
Stability and chaos of the duopoly model of Kopel: A study based on symbolic computations
A Comprehensive Survey of Multilingual Neural Machine Translation
Semi-Supervised Kernel PCA
Local properties of neural networks through the lens of layer-wise Hessians
The TerraByte Client: providing access to terabytes of plant data
Transfer in Sequential Multi-armed Bandits via Reward Samples
Network localization is unalterable by infections in bursts
Recurrent Deep Differentiable Logic Gate Networks
Understanding Stakeholders' Perceptions and Needs Across the LLM Supply Chain
Towards Certifying 𝓁 ∞ Robustness using Neural Networks with 𝓁 ∞ -dist Neurons
Impact of Label Types on Training SWIN Models with Overhead Imagery
An Analysis of Optimizer Choice on Energy Efficiency and Performance in Neural Network Training
The computational complexity of universality problems for prefixes, suffixes, factors, and subwords of regular languages
Limiting Self-Propagating Malware Based on Connection Failure Behavior through Hyper-Compact Estimators
Impact of LOS/NLOS Propagation and Path Loss in Ultra-Dense Cellular Networks
Automated Composition of Agents: A Knapsack Approach for Agentic Component Selection
The Complexity of Partial-observation Stochastic Parity Games With Finite-memory Strategies
Bias and variance in the social structure of gender
Choreography In Inter-Organizational Innovation Networks
'Do as I say not as I do': A Semi-Automated Approach for Jailbreak Prompt Attack against Multimodal LLMs
Stein particle filtering
Nonlinear Kalman Filtering based on Self-Attention Mechanism and Lattice Trajectory Piecewise Linear Approximation
Towards a Technology-Driven Adaptive Decision Support System for Integrated Pavement and Maintenance strategies (TDADSS-IPM): focus on risk assessment framework for climate change adaptation
IMU-based Modularized Wearable Device for Human Motion Classification
Distributed SMC-PHD Fusion for Partial, Arithmetic Average Consensus
The Capacity of Three-Receiver AWGN Broadcast Channels with Receiver Message Side Information
Integrating attention into explanation frameworks for language and vision transformers
Deep Learning for Financial Applications : A Survey
Optimal DoF Region of the Two-User MISO-BC with General Alternating CSIT
A Perspective on Unique Information: Directionality, Intuitions, and Secret Key Agreement
Query-Efficient Locally Private Hypothesis Selection via the Scheffe Graph
A Ground Mobile Robot for Autonomous Terrestrial Laser Scanning-Based Field Phenotyping
Publication venue recommendation using profiles based on clustering
A data driven Koopman-Schur decomposition for computational analysis of nonlinear dynamics
Identification of Stability Regions in Inverter-Based Microgrids
Smooth Calibration, Leaky Forecasts, Finite Recall, and Nash Dynamics
Structured Column Subset Selection for Bayesian Optimal Experimental Design
An example illustrating the imprecision of the efficient approach for diagnosis of Petri nets via integer linear programming
An extended discontinuous Galerkin shock tracking method
Detecting Religious Language in Climate Discourse
Warm Start Marginal Likelihood Optimisation for Iterative Gaussian Processes
Subgraph Frequency Distribution Estimation using Graph Neural Networks
On Expanders Graphs: Parameters and Applications
Why Flatness Correlates With Generalization For Deep Neural Networks
Large-scale Thermo-Mechanical Simulation of Laser Beam Welding Using High-Performance Computing: A Qualitative Reproduction of Experimental Results
Prediction Model for Mortality Analysis of Pregnant Women Affected With COVID-19
The Impact of Equal Opportunity on Statistical Discrimination
Adaptive Trajectory Estimation with Power Limited Steering Model under Perturbation Compensation
A General Theory of Emergent Linearity in Complex Dynamical Systems: The Role of Spatial Averaging and Vanishing Correlations
Making LLMs Vulnerable to Prompt Injection via Poisoning Alignment
Establishment of a Blockchain-based Architecture for Fake News Detection
Passive Reactance Compensation for Shape-Reconfigurable Wireless Power Transfer Surfaces
Modeling and Selection of Interdependent Software Requirements using Fuzzy Graphs
Multilingual Nonce Dependency Treebanks: Understanding how LLMs represent and process syntactic structure
A Compiler Assisted Scheduler for Detecting and Mitigating Cache-Based Side Channel Attacks
Transformers Can Navigate Mazes With Multi-Step Prediction
Complexity of ITL model checking: some well-behaved fragments of the interval logic HS
A Systematic Review of User-Centred Evaluation of Explainable AI in Healthcare
Modelling the influence of data structure on learning in neural networks
Sharding and HTTP/2 Connection Reuse Revisited: Why Are There Still Redundant Connections?
Attend More Times for Image Captioning
Numerical computation of spectral solutions for Sturm-Liouville eigenvalue problems
Computational discovery of new 2D materials using deep learning generative models
Next Priority Concept: A new and generic algorithm computing concepts from complex and heterogeneous data
DECK: Behavioral Tests to Improve Interpretability and Generalizability of BERT Models Detecting Depression from Text
Language models are weak learners
Ultrasound Lung Aeration Map via Physics-Aware Neural Operators
Analysis of IEEE 802.15.4 MAC under low duty cycle
Data mining method of single-cell omics data to evaluate a pure tissue environmental effect on gene expression level
A New Korean Text Classification Benchmark for Recognizing the Political Intents in Online Newspapers
CLEAN and multi-scale CLEAN for STIX in Solar Orbiter
Vector Broadcast Channels: Optimal Threshold Selection Problem
A Novel Graph-based Approach for Determining Molecular Similarity
Persistent Test-time Adaptation in Episodic Testing Scenarios
Ret3D: Rethinking Object Relations for Efficient 3D Object Detection in Driving Scenes
Voltage-Controlled Magnetic Tunnel Junction based ADC-less Global Shutter Processing-in-Pixel for Extreme-Edge Intelligence
Motion Planning Combines Psychological Safety and Motion Prediction for a Sense Motive Robot
Accelerating Diffusion Transformers with Dual Feature Caching
General Point Model with Autoencoding and Autoregressive
OptAGAN: Entropy-based finetuning on text VAE-GAN
Large-Scale Analysis of the Accuracy of the Journal Classification Systems of Web of Science and Scopus
Noise-resistant Deep Learning for Object Classification in 3D Point Clouds Using a Point Pair Descriptor
A Proof of the Boyd-Carr Conjecture
Unsupervised Driving Behavior Analysis using Representation Learning and Exploiting Group-based Training
Simpler algorithmically unrecognizable 4-manifolds
AI-Assisted Investigation of On-Chain Parameters: Risky Cryptocurrencies and Price Factors
Towards Transaction as a Service
Change Detection in Dynamic Attributed Networks
Studying Drowsiness Detection Performance while Driving through Scalable Machine Learning Models using Electroencephalography
Stacked Intelligent Metasurfaces-Aided eVTOL Delay Sensitive Communications
Semi-automatic identification of counterfeit offers in online shopping platforms
Technologies for Web and Cloud Service Interaction: A Survey
Deep Spectral Descriptors: Learning the point-wise correspondence metric via Siamese deep neural networks
Routine Clustering of Mobile Sensor Data Facilitates Psychotic Relapse Prediction in Schizophrenia Patients
GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via Feature Alignment
Data-driven Approach for Automatically Correcting Faulty Road Maps
On Boolean Functions with Low Polynomial Degree and Higher Order Sensitivity
Advanced Natural-based interaction for the ITAlian language: LLaMAntino-3-ANITA
SMPLOlympics: Sports Environments for Physically Simulated Humanoids
Adversarial multi-task underwater acoustic target recognition: towards robustness against various influential factors
Future Communication Model for High-speed Railway Based on Unmanned Aerial Vehicles
Context-aware CNNs for person head detection
Density-based interpretable hypercube region partitioning for mixed numeric and categorical data
Video Salient Object Detection via Adaptive Local-Global Refinement
Wasserstein K-Means for Clustering Tomographic Projections
Efficient Leverage of Symbolic ATG Tools to Advanced Coverage Criteria
An algorithm for improving the quality of compacted JPEG image by minimizes the blocking artifacts
Fast Consistent Hashing in Constant Time
Axis-Aligned 3D Stalk Diameter Estimation from RGB-D Imagery
Are good local minima wide in sparse recovery?
Implementation of Advanced Wind Turbine Controllers for Scaled Turbine Testing in a Wind Tunnel
Bridging the Gap: Advancements in Technology to Support Dementia Care - A Scoping Review
Trident Pyramid Networks: The importance of processing at the feature pyramid level for better object detection
Efficient ML Models for Practical Secure Inference
eBrainII: A 3 kW Realtime Custom 3D DRAM integrated ASIC implementation of a Biologically Plausible Model of a Human Scale Cortex
Unifying Bias and Unfairness in Information Retrieval: A Survey of Challenges and Opportunities with Large Language Models
FAC 2 E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition
The Aegis Protocol: A Foundational Security Framework for Autonomous AI Agents
Deep Nonparametric Estimation of Intrinsic Data Structures by Chart Autoencoders: Generalization Error and Robustness
Deep Learning in Medical Image Classification from MRI-based Brain Tumor Images
Self-healing Nodes with Adaptive Data-Sharding
One world, one opinion? The superstar effect in LLM responses
Detectability Thresholds for Network Attacks on Static Graphs and Temporal Networks: Information-Theoretic Limits and Nearly-Optimal Tests
Routes Obey Hierarchy in Complex Networks
Game of GANs: Game Theoretical Models for Generative Adversarial Networks
Making Power Explicable in AI: Analyzing, Understanding, and Redirecting Power to Operationalize Ethics in AI Technical Practice
GC-Bench: A Benchmark Framework for Graph Condensation with New Insights
Developing strategies to produce better scientific papers: a Recipe for non-native users of English
Technical Report: Unresolved Challenges and Potential Features in EATXT
Optimal SNR Analysis for Single-user RIS Systems in Ricean and Rayleigh Environments
Investigating the Semantic Robustness of CLIP-based Zero-Shot Anomaly Segmentation
Cost Restrained Hybrid Attacks in Power Grids
Revealing Cortical Layers In Histological Brain Images With Self-Supervised Graph Convolutional Networks Applied To Cell-Graphs
Feeling the Grass Grow: Making Midair Haptic Parameters Visible, Touchable and Controllable
Security and Non-Repudiation for Voice-Over-IP Conversations
Personalized Item Recommendation with Continuous Experience Evolution of Users using Brownian Motion
Data Sharing with a Generative AI Competitor
RocSync: Millisecond-Accurate Temporal Synchronization for Heterogeneous Camera Systems
Adaptive Anomaly Detection for IoT Data in Hierarchical Edge Computing
Space-Time Isogeometric Method for a Nonlocal Parabolic Problem
Boosting Path-Sensitive Value Flow Analysis via Removal of Redundant Summaries
Perceptron Linear Function Design with CMOS-Memristive Circuits
Differentially private anonymized histograms
Language Native Lightly Structured Databases for Large Language Model Driven Composite Materials Research
Dual Channel Multi-Attention in ViT for Biometric Authentication using Forehead Subcutaneous Vein Pattern and Periocular Pattern
A Numerical Method for a Nonlocal Diffusion Equation with Additive Noise
Looking Alike From Far to Near: Enhancing Cross-Resolution Re-Identification via Feature Vector Panning
Analyzing Interference from Static Cellular Cooperation using the Nearest Neighbour Model
Predicting Financial Market Trends using Time Series Analysis and Natural Language Processing
Exploration of Adolescent Depression Risk Prediction Based on Census Surveys and General Life Issues
Multimodal Clinical Trial Outcome Prediction with Large Language Models
PhyCV: The First Physics-inspired Computer Vision Library
Evaluation of computational and energy performance in matrix multiplication algorithms on CPU and GPU using MKL, cuBLAS and SYCL
Quantifying synergistic information using intermediate stochastic variables
Graph clustering, variational image segmentation methods and Hough transform scale detection for object measurement in images
Draw an Ugly Person An Exploration of Generative AIs Perceptions of Ugliness
FGo: A Directed Grey-box Fuzzer with Probabilistic Exponential cut-the-loss Strategies
Trust-Region Sequential Quadratic Programming for Stochastic Optimization with Random Models
Modern Methods for Text Generation
Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models
A Novel Pair and Matching Algorithm for Embedding Secret Messages in Images
Score-based Membership Inference on Diffusion Models
Expansion of Cyber Attack Data From Unbalanced Datasets Using Generative Techniques