yusuke1997/dblp-id-title huggingface dataset:
Algorithmic Autonomy in Data-Driven AI
Short-term Hourly Streamflow Prediction with Graph Convolutional GRU Networks
Python Fuzzing for Trustworthy Machine Learning Frameworks
Fuzzy-based Navigation and Control of a Non-Holonomic Mobile Robot
CAD-RADS scoring of coronary CT angiography with Multi-Axis Vision Transformer: a clinically-inspired deep learning pipeline
Addressing Security and Privacy Challenges in Internet of Things
Frequency-aware Dimension Selection for Static Word Embedding by Mixed Product Distance
Half-Physics: Enabling Kinematic 3D Human Model with Physical Interactions
A Coarse-to-Fine Multiscale Mesh Representation and its Applications
MeisenMeister: A Simple Two Stage Pipeline for Breast Cancer Classification on MRI
Characterization of Effective Capacity in Antenna Selection MIMO Systems
Synergy of Machine and Deep Learning Models for Multi-Painter Recognition
TurboBias: Universal ASR Context-Biasing powered by GPU-accelerated Phrase-Boosting Tree
Get the gist? Using large language models for few-shot decontextualization
Fair Coordination in Strategic Scheduling
GANDALF: A fine-grained hardware-software co-design for preventing memory attacks
A parallel pull labelling algorithm for the resource constrained shortest path problem
Multi-Objective Optimisation of URLLC-Based Metaverse Services
Polygonal Cone Control Barrier Functions (PolyC2BF) for safe navigation in cluttered environments
WorldEval: World Model as Real-World Robot Policies Evaluator
Engineering Crowdsourced Stream Processing Systems
Computation of the highest coefficients of weighted Ehrhart quasi-polynomials of rational polyhedra
Programming Language Agnostic Mining of Code and Language Pairs with Sequence Labeling Based Question Answering
Trace maximization algorithm for the approximate tensor diagonalization
PANTHER: Generative Pretraining Beyond Language for Sequential User Behavior Modeling
Gumbel-softmax-based Optimization: A Simple General Framework for Optimization Problems on Graphs
Coding Triangle: How Does Large Language Model Understand Code?
Group Testing with Probabilistic Tests: Theory, Design and Application
A Comprehensive Analysis of Static Word Embeddings for Turkish
S-semantics - an example
Learning 3D Representations from Procedural 3D Programs
Detecting and Exorcising Statistical Demons from Language Models with Anti-Models of Negative Data
Universal Representations for Classification-enhanced Lossy Compression
MonoFormer: One Transformer for Both Diffusion and Autoregression
RobustLR: Evaluating Robustness to Logical Perturbation in Deductive Reasoning
Loss and Reward Weighing for increased learning in Distributed Reinforcement Learning
Safety Alignment Depth in Large Language Models: A Markov Chain Perspective
Compactness Score: A Fast Filter Method for Unsupervised Feature Selection
Enumerating Connected Dominating Sets
EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth from Light Field Images
Applications of Multi-Agent Slime Mould Computing
Addressing Cold-start Problem in Click-Through Rate Prediction via Supervised Diffusion Modeling
Characterization of Gradient Dominance and Regularity Conditions for Neural Networks
Identification of Design Recommendations for Augmented Reality Authors in Corporate Training
On the formalization of the notion of an algorithm
Vision transformer-based multi-camera multi-object tracking framework for dairy cow monitoring
Early Detection and Reduction of Memorisation for Domain Adaptation and Instruction Tuning
Ergodic Fading One-sided Interference Channels without State Information at Transmitters
Open Source 3-D Filament Diameter Sensor for Recycling, Winding and Additive Manufacturing Machines
COVIDHealth: A Benchmark Twitter Dataset and Machine Learning based Web Application for Classifying COVID-19 Discussions
Robust Cubature Kalman Filter for Dynamic State Estimation of Synchronous Machines under Unknown Measurement Noise Statistics
Domain-specific Knowledge Graphs: A survey
Variance reduced stochastic optimization over directed graphs with row and column stochastic weights
cs-net: structural approach to time-series forecasting for high-dimensional feature space data with limited observations
Counting stars: a survey on flexible Skyline Query approaches
Projecting basis functions with tensor networks for Gaussian process regression
Inferential Privacy: From Impossibility to Database Privacy
SD-ReID: View-aware Stable Diffusion for Aerial-Ground Person Re-Identification
Information-Theoretic Bayesian Optimization for Bilevel Optimization Problems
DFW-PP: Dynamic Feature Weighting based Popularity Prediction for Social Media Content
Can neural networks extrapolate? Discussion of a theorem by Pedro Domingos
An abstract structure determines the contextuality degree of observable-based Kochen-Specker proofs
Localisation, Communication and Networking with VLC: Challenges and Opportunities
Cross-Axis Transformer with 2D Rotary Embeddings
DreaMoving: A Human Video Generation Framework based on Diffusion Models
Perception-Guided EEG Analysis: A Deep Learning Approach Inspired by Level of Detail (LOD) Theory
Hashing Beam Training for Near-Field Integrated Sensing and Communication Systems
Continual Learning in Recurrent Neural Networks with Hypernetworks
Tumor Classification and Segmentation of MR Brain Images
NeRFInvertor: High Fidelity NeRF-GAN Inversion for Single-shot Real Image Animation
Robustness and Imperceptibility Analysis of Hybrid Spatial-Frequency Domain Image Watermarking
Unsupervised Explanation Generation for Machine Reading Comprehension
A Modular Test Bed for Reinforcement Learning Incorporation into Industrial Applications
Acute Lymphoblastic Leukemia Diagnosis Employing YOLOv11, YOLOv8, ResNet50, and Inception-ResNet-v2 Deep Learning Models
Self-Supervised Learning based Monaural Speech Enhancement with Multi-Task Pre-Training
Crystal structure prediction using neural network potential and age-fitness Pareto genetic algorithm
Modification of a Numerical Method Using FIR Filters in a Time-dependent SIR Model for COVID-19
Better than classical? The subtle art of benchmarking quantum machine learning models
Federated Distributionally Robust Optimization with Non-Convex Objectives: Algorithm and Analysis
Structure with Semantics: Exploiting Document Relations for Retrieval
RGB-D-Inertial SLAM in Indoor Dynamic Environments with Long-term Large Occlusion
Feasibility Assessment of Multitasking in MRI Neuroimaging Analysis: Tissue Segmentation, Cross-Modality Conversion and Bias correction
What You See Is What Matters: A Novel Visual and Physics-Based Metric for Evaluating Video Generation Quality
Apriel-H1: Towards Efficient Enterprise Reasoning Models
Aesthetics Driven Autonomous Time-Lapse Photography Generation by Virtual and Real Robots
FUSED-Net: Enhancing Few-Shot Traffic Sign Detection with Unfrozen Parameters, Pseudo-Support Sets, Embedding Normalization, and Domain Adaptation
Examining Deployment and Refinement of the VIOLA-AI Intracranial Hemorrhage Model Using an Interactive NeoMedSys Platform
Presenting Finite Posets
Preventing Extreme Polarization of Political Attitudes
Glider: A GPU Library Driver for Improved System Security
Exploring the Relevance of Data Privacy-Enhancing Technologies for AI Governance Use Cases
From Conversation to Automation: Leveraging Large Language Models to Analyze Strategies in Problem Solving Therapy
Fast Online Adaptive Neural MPC via Meta-Learning
End-to-End Face Parsing via Interlinked Convolutional Neural Networks
LLM-Oriented Retrieval Tuner
Deep Learning Aided Packet Routing in Aeronautical Ad-Hoc Networks Relying on Real Flight Data: From Single-Objective to Near-Pareto Multi-Objective Optimization
Joint Learning for Aspect and Polarity Classification in Persian Reviews Using Multi-Task Deep Learning
SEAL: Suite for Evaluating API-use of LLMs
RDCL 3D, a Model Agnostic Web Framework for the Design of Superfluid NFV Services and Components
ST-Align: A Multimodal Foundation Model for Image-Gene Alignment in Spatial Transcriptomics
Forecasting Day-Ahead Electricity Prices in the Integrated Single Electricity Market: Addressing Volatility with Comparative Machine Learning Methods
Wikidata through the Eyes of DBpedia
Federated Submodel Averaging
Implicit Guidance and Explicit Representation of Semantic Information in Points Cloud: A Survey
Efficient State-based CRDTs by Delta-Mutation
Algebraic Structures from Concurrent Constraint Programming Calculi for Distributed Information in Multi-Agent Systems
Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models
Measuring Abuse in Web Push Advertising
Comparative Analysis of Human Mobility Patterns: Utilizing Taxi and Mobile (SafeGraph) Data to Investigate Neighborhood-Scale Mobility in New York City
Measuring Sample Quality with Diffusions
Assessment of creditworthiness models privacy-preserving training with synthetic data
Human-In-The-Loop Workflow for Neuro- Symbolic Scholarly Knowledge Organization
Crossing Numbers of Beyond Planar Graphs Re-revisited: A Framework Approach
Kinetic Market Model: An Evolutionary Algorithm
Positive Real Synthesis of Networked Control System An LMI Approach
Causal conditional hidden Markov model for multimodal traffic prediction
Leveraging Evolutionary Changes for Software Process Quality
Hyperbolic Optimal Transport
Kolmogorov-Arnold PointNet: Deep learning for prediction of fluid fields on irregular geometries
One-Cycle Pruning: Pruning ConvNets Under a Tight Training Budget
On the convergence of nonlinear averaging dynamics with three-body interactions on hypergraphs
Manipulable Semantic Components: a Computational Representation of Data Visualization Scenes
How Consumer Empathy Assist Power Grid in Demand Response
Energy Group-Buying with Loading Sharing for Green Cellular Networks
The Shape of Money Laundering: Subgraph Representation Learning on the Blockchain with the Elliptic2 Dataset
Embedding Ranking-Oriented Recommender System Graphs
A Note on Eigenvalues of Perturbed Hermitian Matrices
Numerical Approximations and Convergence Analysis of Piecewise Diffusion Markov Processes, with Application to Glioma Cell Migration
Relating Voluntary Turnover with Job Characteristics, Satisfaction and Work Exhaustion - An Initial Study with Brazilian Developers
Bidirectional Representation Learning from Transformers using Multimodal Electronic Health Record Data for Chronic to Predict Depression
An Insight into the Dynamics of a Dual Active Bridge
Complexity Results for Preference Aggregation over (m)CP-nets: Pareto and Majority Voting
Interpreting Performance Profiles with Deep Learning
A Fast Decodable Full-Rate STBC with High Coding Gain for 4x2 MIMO Systems
Effective Individual Fairest Community Search over Heterogeneous Information Networks
Domain-of-Attraction Estimation for Uncertain Non-polynomial Systems
Boundary-weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation
Improving Breast Cancer Grade Prediction with Multiparametric MRI Created Using Optimized Synthetic Correlated Diffusion Imaging
Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design
Simultaneous Network Design with Restricted Link Usage
Wittgenstein and Turing: Machines, Language games and Forms of life
Discovering Encrypted Bot and Ransomware Payloads Through Memory Inspection Without A Priori Knowledge
Effect of Choices of Boundary Conditions on the Numerical Efficiency of Direct Solutions of Finite Difference frequency Domain Systems with Perfectly Matched Layers
Key parameters generation of the navigation data of GPS Simulator
Harnessing Large Language Models for Training-free Video Anomaly Detection
Inference-Time Alignment in Diffusion Models with Reward-Guided Generation: Tutorial and Review
Improving LLM-based Ontology Matching with fine-tuning on synthetic data
Interactive Learning-Based Realizability for Heyting Arithmetic with EM1
Creating Centered Trochoids and Co-Centered Ellipses Through the Uniform Combinations of Rolling and Sliding Motions by Using Virtual Rotating Circles Technique (VRCT)
SFSORT: Scene Features-based Simple Online Real-Time Tracker
A spatialised bibliometrics approach of a scientific journal production
Spectrum Allocation in Cognitive Networks
LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding
Uncertainty quantification for charge transport in GNRs through particle Galerkin methods for the semiclassical Boltzmann equation
Bit-Flip Attack: Crushing Neural Network withProgressive Bit Search
Denoising individual bias for a fairer binary submatrix detection
Graph Fourier Transform with Negative Edges for Depth Image Coding
On the contribution of pre-trained models to accuracy and utility in modeling distributed energy resources
Comparing pattern sensitivity of a convolutional neural network with an ideal observer and support vector machine
Speaker attribution in German parliamentary debates with QLoRA-adapted large language models
Watch and Learn: Leveraging Expert Knowledge and Language for Surgical Video Understanding
Upper Bounds for Complexity of Asymptotically Optimal Learned Indexes
A Trainable Centrality Framework for Modern Data
LLM-as-a-Judge for Software Engineering: Literature Review, Vision, and the Road Ahead
Image Embedding for Denoising Generative Models
Energy-Efficient Active Element Selection in RIS-aided Massive MIMO Systems
InDRiVE: Intrinsic Disagreement based Reinforcement for Vehicle Exploration through Curiosity Driven Generalized World Model
Methods for Collisions in Some Algebraic Hash Functions
Automata-less Monitoring via Trace-Checking (Extended Version)
Faster Algorithms for Algebraic Path Properties in RSMs with Constant Treewidth
Upper Bound on Function Computation in Directed Acyclic Networks
Understand me, if you refer to Aspect Knowledge: Knowledge-aware Gated Recurrent Memory Network
Towards Explainable AI: Multi-Modal Transformer for Video-based Image Description Generation
FedADP: Unified Model Aggregation for Federated Learning with Heterogeneous Model Architectures
Visualization of High-dimensional Scalar Functions Using Principal Parameterizations
Solar Cell Surface Defect Inspection Based on Multispectral Convolutional Neural Network
Adaptability of Computer Vision at the Tactical Edge: Addressing Environmental Uncertainty
Particle exchange Monte Carlo methods for eigenfunction and related nonlinear problems
EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks
Reduced-Complexity Reed--Solomon Decoders Based on Cyclotomic FFTs
Constrained Synchronization for Commutative Automata and Automata with Simple Idempotents
Experimental method for perching flapping-wing aerial robots
STT-GS: Sample-Then-Transmit Edge Gaussian Splatting with Joint Client Selection and Power Control
A Survey On 3D Inner Structure Prediction from its Outer Shape
DB-GPT: Empowering Database Interactions with Private Large Language Models
Deep Denoising: Rate-Optimal Recovery of Structured Signals with a Deep Prior
Adaptive Approximation-Based Control for Nonlinear Systems: A Unified Solution with Accurate and Inaccurate Measurements
Dynamic Knowledge Routing Network For Target-Guided Open-Domain Conversation
Instance-weighted Central Similarity for Multi-label Image Retrieval
Belief propagation generalizes backpropagation
Cumulative Effect in Information Diffusion: A Comprehensive Empirical Study on Microblogging Network
What does BERT learn about prosody?
Demand Analysis and Customized Product Offering Design on E-Commerce Platform
From Cradle to Cane: A Two-Pass Framework for High-Fidelity Lifespan Face Aging
Leveraging Large Language Models in Visual Speech Recognition: Model Scaling, Context-Aware Decoding, and Iterative Polishing
Leveraging Knowledge Distillation for Efficient Deep Reinforcement Learning in Resource-Constrained Environments
Learning Independently-Obtainable Reward Functions
Interplay between RIS and AI in Wireless Communications: Fundamentals, Architectures, Applications, and Open Research Problems
Enabling ASR for Low-Resource Languages: A Comprehensive Dataset Creation Approach
Effects of automotive microphone frequency response characteristics and noise conditions on speech and ASR quality - an experimental evaluation
Communication-Efficient Hybrid Language Model via Uncertainty-Aware Opportunistic and Compressed Transmission
Multi-Class Explainable Unlearning for Image Classification via Weight Filtering
Navigation and Control of Unconventional VTOL UAVs in Forward-Flight with Explicit Wind Velocity Estimation
Decentralized Reliability Estimation for Mixnets
DocTron-Formula: Generalized Formula Recognition in Complex and Structured Scenarios
VDHLA: Variable Depth Hybrid Learning Automaton and Its Application to Defense Against the Selfish Mining Attack in Bitcoin
CoMoCAVs: Cohesive Decision-Guided Motion Planning for Connected and Autonomous Vehicles with Multi-Policy Reinforcement Learning
Omega-Regular Robustness
Scalable Application- and User-aware Resource Allocation in Enterprise Networks Using End-host Pacing
Phase Retrieval via Randomized Kaczmarz: Theoretical Guarantees
Can Safety Fine-Tuning Be More Principled? Lessons Learned from Cybersecurity
Describing Alt-Right communities and their discourse on Twitter during the 2018 US mid-term elections
PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models
The Governance of Risks in Ridesharing: A Revelatory Case from Singapore
RISM - Reputation Based Intrusion Detection System for Mobile Ad hoc Networks
Attention Model Enhanced Network for Classification of Breast Cancer Image
Bayesian Example Selection Improves In-Context Learning for Speech, Text, and Visual Modalities
On Concise Encodings of Preferred Extensions
On the Differential Properties of the Power Mapping x p m +2
Reasoning about Strategies under Partial Observability and Fairness Constraints
gpuRDF2vec - Scalable GPU-based RDF2vec
Low Rank Groupwise Deformations for Motion Tracking in Cardiac Cine MRI
Explore More, Learn Better: Parallel MLLM Embeddings under Mutual Information Minimization
LongRecall: A Structured Approach for Robust Recall Evaluation in Long-Form Text
On the differential spectrum of a class of power functions over finite fields
Maximum Weighted Loss Discrepancy
Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds
VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use
An Adaptive Angular Aomain Compression Scheme For Solving Multiscale Radiative Transfer Equation
Implementing a Sharia Chatbot as a Consultation Medium for Questions About Islam
The Approach to Managing Provenance Metadata and Data Access Rights in Distributed Storage Using the Hyperledger Blockchain Platform
Parametric Sensitivity Analysis for Stochastic Molecular Systems using Information Theoretic Metrics
DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation
Electromagnetic transients and failed upward leaders observed during lightning activity in an onshore wind farm
Dynamic Line Rating using Hyper-local Weather Predictions: A Machine Learning Approach
A Language for Probabilistically Oblivious Computation
A Non-Monetary Protocol for Peer-to-Peer Content Distribution in Wireless Broadcast Networks with Network Coding
Bottom-Up Grounding in the Probabilistic Logic Programming System Fusemate
Long-term instabilities of deep learning-based digital twins of the climate system: The cause and a solution
HERAKLES: Hierarchical Skill Compilation for Open-ended LLM Agents
Optimal Release Time Decision from Fuzzy Mathematical Programming Perspective
Early-Exit meets Model-Distributed Inference at Edge Networks
How far are AI-powered programming assistants from meeting developers' needs?
NAS-FM: Neural Architecture Search for Tunable and Interpretable Sound Synthesis based on Frequency Modulation
MuCPT: Music-related Natural Language Model Continued Pretraining
Crop recommendation with machine learning: leveraging environmental and economic factors for optimal crop selection
Software Cost Estimation Framework for Service-Oriented Architecture Systems using Divide-and-Conquer Approach
QB4AIRA: A Question Bank for AI Risk Assessment
Merino: Entropy-driven Design for Generative Language Models on IoT Devices
Few-Shot Optimization for Sensor Data Using Large Language Models: A Case Study on Fatigue Detection
A universal preprocessing algorithm of average kernel method with Gauss-Laguerre quadrature for double integrals
Improved Anomaly Detection in Crowded Scenes via Cell-based Analysis of Foreground Speed, Size and Texture
The Value of Knowing Your Enemy
Distributed Model Predictive Control Using a Chain of Tubes
The Rosenberg-Strong Pairing Function
Empowering LLMs in Decision Games through Algorithmic Data Synthesis
Prediction Is All MoE Needs: Expert Load Distribution Goes from Fluctuating to Stabilizing
VenusFactory: A Unified Platform for Protein Engineering Data Retrieval and Language Model Fine-Tuning
Gradient-based Weight Density Balancing for Robust Dynamic Sparse Training
Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise
An Enhanced Machine Learning Topic Classification Methodology for Cybersecurity
Estimating Meetings' Air Flight $CO_2$ Equivalent Emissions An Illustrative Example with IETF meetings
Unsupervised Graph Neural Architecture Search with Disentangled Self-supervision
Physics informed Transformer-VAE for biophysical parameter estimation: PROSAIL model inversion in Sentinel-2 imagery
Rice Leaf Disease Detection: A Comparative Study Between CNN, Transformer and Non-neural Network Architectures
Low-Rank Adapters Meet Neural Architecture Search for LLM Compression
VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate
Machine Learning with World Knowledge: The Position and Survey
Switching and Data Injection Attacks on Stochastic Cyber-Physical Systems: Modeling, Resilient Estimation and Attack Mitigation
Convergence of alternating minimisation algorithms for dictionary learning
MuLTI: Efficient Video-and-Language Understanding with MultiWay-Sampler and Multiple Choice Modeling
Fair Voting Outcomes with Impact and Novelty Compromises? Unraveling Biases of Equal Shares in Participatory Budgeting
Video-TransUNet: Temporally Blended Vision Transformer for CT VFSS Instance Segmentation
Sparse-View 3D Reconstruction: Recent Advances and Open Challenges
On the Convergence of Multi-objective Optimization under Generalized Smoothness
When the Filter Bubble Bursts: Collective Evaluation Dynamics in Online Communities
Two Globally Convergent Adaptive Speed Observers for Mechanical Systems
The number of almost perfect nonlinear functions grows exponentially
An Optimization Framework For Online Ride-sharing Markets
Uncovering ECG Changes during Healthy Aging using Explainable AI
A Survey on non-English Question Answering Dataset
Attention-Augmented Inverse Reinforcement Learning with Graph Convolutions for Multi-Agent Task Allocation
Restricted Mobility Improves Delay-Throughput Trade-offs in Mobile Ad-Hoc Networks
Repetition Makes Perfect: Recurrent Sum-GNNs Match Message Passing Limit
Merging Subject Matter Expertise and Deep Convolutional Neural Network for State-Based Online Machine-Part Interaction Classification
Adaptive Continuous Homodyne Phase Estimation Using Robust Fixed-Interval Smoothing
Segmentation of both Diseased and Healthy Skin from Clinical Photographs in a Primary Care Setting
Factor Augmented Supervised Learning with Text Embeddings
Incremental Sequence Learning
PreMa: Predictive Maintenance of Solenoid Valve in Real-Time at Embedded Edge-Level
Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement Learning
Unsupervised Video Summarization
Open, Sesame! Introducing Access Control to Voice Services
A Novel Stochastic Epidemic Model with Application to COVID-19
Speed Scaling with Multiple Servers Under A Sum Power Constraint
Discourse and Deliberation: Testing a Collaborative Strategy
Multivariate Information Theory Uncovers Synergistic Subsystems of the Human Cerebral Cortex
Surrogate Locally-Interpretable Models with Supervised Machine Learning Algorithms