yusuke1997/dblp-id-title huggingface dataset:
Comparative Study of Domain Driven Terms Extraction Using Large Language Models
Scaling Performance of Large Language Model Pretraining
FedZKT: Zero-Shot Knowledge Transfer towards Heterogeneous On-Device Models in Federated Learning
Partial Evaluation of Order-sorted Equational Programs modulo Axioms
Generic Programming in OCaml
Smaller Progress Measures and Separating Automata for Parity Games
Improved Concentration Bounds for Conditional Value-at-Risk and Cumulative Prospect Theory using Wasserstein distance
Multiple-Crop Human Mesh Recovery with Contrastive Learning and Camera Consistency in A Single Image
Participatory Privacy: Enabling Privacy in Participatory Sensing
nuScenes Revisited: Progress and Challenges in Autonomous Driving
Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classification
Projective Expected Utility
A Deep Registration Method for Accurate Quantification of Joint Space Narrowing Progression in Rheumatoid Arthritis
Recursive Multikernel Filters Exploiting Nonlinear Temporal Structure
Learning an Efficient Optimizer via Hybrid-Policy Sub-Trajectory Balance
On the arboreal jump number of a poset
RoboStack: Using the Robot Operating System alongside the Conda and Jupyter Data Science Ecosystems
A Doubly Distributed Genetic Algorithm for Network Coding
Learning-based Near-optimal Motion Planning for Intelligent Vehicles with Uncertain Dynamics
Using Deep Networks and Transfer Learning to Address Disinformation
iSee: Advancing Multi-Shot Explainable AI Using Case-based Recommendations
Anomalous phase separation and hidden coarsening of super-clusters in the Falicov-Kimball model
Simultaneous Identification of Coefficients and Source in a Subdiffusion Equation from One Passive Measurement
Feature augmentation for the inversion of the Fourier transform with limited data
Developing Embodied Multisensory Dialogue Agents
SciChain: Trustworthy Scientific Data Provenance
Globally Optimal Algorithms for Fixed-Budget Best Arm Identification
Spotting Collusive Behaviour of Online Fraud Groups in Customer Reviews
A systematic comparison of supervised classifiers
Efficient Computation of Feedback Control for Constrained Systems
High-order Barrier Functions: Robustness, Safety and Performance-Critical Control
YOLOatr : Deep Learning Based Automatic Target Detection and Localization in Thermal Infrared Imagery
Proceedings 4th International Workshop on Engineering Safety and Security Systems, ESSS 2015, Oslo, Norway, June 22, 2015
Physically Consistent Multiple-Step Data-Driven Predictions Using Physics-based Filters
Randomized Computer Vision Approaches for Pattern Recognition in Timepix and Timepix3 Detectors
Modelling, Simulation, and Control of a Flexible Space Launch Vehicle
Cooperative Bargaining Games Without Utilities: Mediated Solutions from Direction Oracles
Weights and Methodology Brief for the COVID-19 Symptom Survey by University of Maryland and Carnegie Mellon University, in Partnership with Facebook
Rate-distortion Balanced Data Compression for Wireless Sensor Networks
Efficient Finite Initialization for Tensorized Neural Networks
Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks
Spatial Covariance Estimation for Millimeter Wave Hybrid Systems using Out-of-Band Information
A toolbox for rendering virtual acoustic environments in the context of audiology
Views Are My Own, But Also Yours: Benchmarking Theory of Mind using Common Ground
What Matters in LLM-Based Feature Extractor for Recommender? A Systematic Analysis of Prompts, Models, and Adaptation
MARC: Mining Association Rules from datasets by using Clustering models
Deep Learning-based Implicit CSI Feedback in Massive MIMO
Optimal Rates for Learning with Nyström Stochastic Gradient Methods
Non-uniform sampling and reconstruction of multi-band signals and its application in wideband spectrum sensing of cognitive radio
SepMamba: State-space models for speaker separation using Mamba
A Lyapunov-Based Small-Gain Theorem for Fixed-Time ISS: Theory, Optimization, and Games
Phase transition in SONFIS&SORST
LiFi Through Reconfigurable Intelligent Surfaces: A New Frontier for 6G?
Tensor-Efficient High-Dimensional Q-learning
Unbiased Evaluation of Deep Metric Learning Algorithms
Test-time Controllable Image Generation by Explicit Spatial Constraint Enforcement
An End-to-End Baseline for Video Captioning
Large Speech Model Enabled Semantic Communication
Addressing practical challenges in Active Learning via a hybrid query strategy
Effective homology and periods of complex projective hypersurfaces
F*: An Interpretable Transformation of the F-measure
Towards Massive Connectivity Support for Scalable mMTC Communications in 5G networks
The Barth-Boneh-Waters Private Broadcast Encryption Scheme Revisited
The Tsetlin Machine - A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic
The Fundamental Limits of Recovering Planted Subgraphs
Eigenvalues in microeconomics
Using CSP To Improve Deterministic 3-SAT
Inspection Guidelines to Identify Security Design Flaws
CAIM: Development and Evaluation of a Cognitive AI Memory Framework for Long-Term Interaction with Intelligent Agents
A Multi-objective Optimization Approach for Feature Selection in Gentelligent Systems
Open-Category Classification by Adversarial Sample Generation
Robust and Active Learning for Deep Neural Network Regression
Single machine scheduling with job-dependent machine deterioration
Towards Using Gameplay Videos for Detecting Issues in Video Games
Density-Informed VAE (DiVAE): Reliable Log-Prior Probability via Density Alignment Regularization
Real-time Online Action Detection Forests using Spatio-temporal Contexts
Small Footprint Multi-channel ConvMixer for Keyword Spotting with Centroid Based Awareness
Deep Neural Network in Cusp Catastrophe Model
Arab Spring's Impact on Science through the Lens of Scholarly Attention, Funding, and Migration
Robust and Listening-Efficient Contention Resolution
Constraint-Preserving Data Generation for Visuomotor Policy Learning
AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs
Modeling and Analysis of HetNets with mm-Wave Multi-RAT Small Cells Deployed Along Roads
The Fluted Fragment with Transitive Relations
Enhancing Citizen-Government Communication with AI: Evaluating the Impact of AI-Assisted Interactions on Communication Quality and Satisfaction
Influence Process Structural Learning and the Emergence of Collective Intelligence
Transforming CCTV cameras into N 2 sensors at city scale for adaptive policymaking
Allocation of spinning reserves for autonomous grids subject to frequency stability constraints and short-term renewable power variations
DSPO: Direct Semantic Preference Optimization for Real-World Image Super-Resolution
ThinkSound: Chain-of-Thought Reasoning in Multimodal Large Language Models for Audio Generation and Editing
GASL: Guided Attention for Sparsity Learning in Deep Neural Networks
On the Effects of Modeling Errors on Distributed Continuous-time Filtering
Regional Seismic Information Entropy for Detecting Precursors of Earthquake Activation
AReaL-Hex: Accommodating Asynchronous RL Training over Heterogeneous GPUs
Real-time speech enhancement with dynamic attention span
Step Size is a Consequential Parameter in Continuous Cellular Automata
3D-GANTex: 3D Face Reconstruction with StyleGAN3-based Multi-View Images and 3DDFA based Mesh Generation
A Good Plan is Hard to Find: Aligning Models with Preferences is Misaligned with What Helps Users
In a Nutshell: Sequential Parameter Optimization
Graph-structured tensor optimization for nonlinear density control and mean field games
Examining Potential Usability and Health Beliefs Among Young Adults Using a Conversational Agent for HPV Vaccine Counseling
String algorithms and data structures
Low precision logarithmic number systems: Beyond base-2
Learning camera viewpoint using CNN to improve 3D body pose estimation
Automated Design of Structured Variational Quantum Circuits with Reinforcement Learning
Near-Field MIMO-ISAR Millimeter-Wave Imaging
Deterministic tensor completion with hypergraph expanders
Resisting the Distracting-factors in Pedestrian Detection
Single-sided Real-time PESQ Score Estimation
Hybrid Tokenization Strategy for DNA Language Model using Byte Pair Encoding and K-MER Methods
Data Acquisition Through Participatory Design for Automated Rehabilitation Assessment
KompeteAI: Accelerated Autonomous Multi-Agent System for End-to-End Pipeline Generation for Machine Learning Problems
CBRW: A Novel Approach for Cancelable Biometric Template Generation based on
CrossPT: Exploring Cross-Task Transferability through Multi-Task Prompt Tuning
#Santiago is not #Chile, or is it? A Model to Normalize Social Media Impact
On the visual analytic intelligence of neural networks
GTNet: Guided Transformer Network for Detecting Human-Object Interactions
Orthogonality sampling type methods for an inverse acoustic scattering problem
AoI-based Temporal Attention Graph Neural Network for Popularity Prediction and Content Caching
A Survey of Deep Learning-based Object Detection
Efficiently grounding FOL using bit vectors
A consensus based network intrusion detection system
Point Cloud Registration for LiDAR and Photogrammetric Data: a Critical Synthesis and Performance Analysis on Classic and Deep Learning Algorithms
Integrating Natural Language Processing Techniques of Text Mining Into Financial System: Applications and Limitations
Confident Splatting: Confidence-Based Compression of 3D Gaussian Splatting via Learnable Beta Distributions
Hybridization of evolutionary algorithm and deep reinforcement learning for multi-objective orienteering optimization
Maximum a Posteriori Estimation for Linear Structural Dynamics Models Using Bayesian Optimization with Rational Polynomial Chaos Expansions
Influence branching for learning to solve mixed-integer programs online
Educator Attention: How computational tools can systematically identify the distribution of a key resource for students
A non-nested unstructured mesh perspective on highly parallel multilevel smoothed Schwarz preconditioner for linear parametric PDEs
The trace dual of nonlinear skew cyclic codes
Towards Code Summarization of APIs Using NLP Techniques
Domain Decomposition Based High Performance Parallel Computing
A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study
Transitional flow in intracranial aneurysms - a space and time refinement study below the Kolmogorov scales using Lattice Boltzmann Method
Hierarchical Model for Long-term Video Prediction
Robust 3D Distributed Formation Control with Application to Quadrotors
Optimization of Quality of Experience for Video Traffic
Automating tumor-infiltrating lymphocyte assessment in breast cancer histopathology images using QuPath: a transparent and accessible machine learning pipeline
Evolutionary forces in language change
Operating critical machine learning models in resource constrained regimes
Electrocardiogram (ECG) Based Cardiac Arrhythmia Detection and Classification using Machine Learning Algorithms
Deterministic k-Vertex Connectivity in k 2 Max-flows
Discriminative conditional restricted Boltzmann machine for discrete choice and latent variable modelling
Profitable Bayesian implementation
Interference Mitigation Through Limited Receiver Cooperation: Symmetric Case
The Preference Learning Toolbox
Efficient Region of Visual Interests Search for Geo-multimedia Data
Universal Multi-modal Entity Alignment via Iteratively Fusing Modality Similarity Paths
Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputation
Evaluating Persian Tokenizers
Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graph
Isogeometric analysis for multi-patch structured Kirchhoff-Love shells
Bravo MaRDI: A Wikibase Powered Knowledge Graph on Mathematics
SARRIGUREN: a polynomial-time complete algorithm for random k-SAT with relatively dense clauses
Investigating Multi-Feature Selection and Ensembling for Audio Classification
Infinite families of monohedral disk tilings
Large Scale Training of Graph Neural Networks for Optimal Markov-Chain Partitioning Using the Kemeny Constant
Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search
Hierarchical Network Data Analytics Framework for B5G Network Automation: Design and Implementation
Mobile Camera Array Calibration for Light Field Acquisition
On the Size of Levenshtein Balls
LightRetriever: A LLM-based Hybrid Retrieval Architecture with 1000x Faster Query Inference
On Generalized Fuzzy Multisets and their Use in Computation
LIME: Weakly-Supervised Text Classification Without Seeds
Learning Probabilistic Trajectory Models of Aircraft in Terminal Airspace from Position Data
Robust Optimal Classification Trees under Noisy Labels
Acoustic Scene Classification Using Fusion of Attentive Convolutional Neural Networks for DCASE2019 Challenge
P4-compatible High-level Synthesis of Low Latency 100 Gb/s Streaming Packet Parsers in FPGAs
Residual estimates for post-processors in elliptic problems
Extending Multilingual Machine Translation through Imitation Learning
UniMM-V2X: MoE-Enhanced Multi-Level Fusion for End-to-End Cooperative Autonomous Driving
Robust globally divergence-free weak Galerkin methods for stationary incompressible convective Brinkman-Forchheimer equations
Intensity Field Decomposition for Tissue-Guided Neural Tomography
Variational Bayesian Bow tie Neural Networks with Shrinkage
D-AR: Diffusion via Autoregressive Models
Convex Optimization Based Bit Allocation for Light Field Compression under Weighting and Consistency Constraints
What do we know about the disruption indicator in scientometrics? An overview of the literature
The read/write protocol complex is collapsible
Fine-Grained Open Domain Image Animation with Motion Guidance
On Non-Interference of Transactions
SAMBA: Toward a Long-Context EEG Foundation Model via Spatial Embedding and Differential Mamba
KnowCoder-A1: Incentivizing Agentic Reasoning Capability with Outcome Supervision for KBQA
Robust Iterative Learning Hidden Quantum Markov Models
Automatically Extracting Information in Medical Dialogue: Expert System And Attention for Labelling
Sharpness-Aware Training for Accurate Inference on Noisy DNN Accelerators
Adaptive Neural Network-based Unscented Kalman Filter for Spacecraft Pose Tracking at Rendezvous
Knowledge engineering mixed-integer linear programming: constraint typology
Cross-Contrastive Clustering for Multimodal Attributed Graphs with Dual Graph Filtering
Quantum classification
Benchmarking the Thinking Mode of Multimodal Large Language Models in Clinical Tasks
Understanding and coping with extremism in an online collaborative environment
Innocence in the Crossfire: Roles of Skip Connections in Jailbreaking Visual Language Models
3D Dynamic Radio Map Prediction Using Vision Transformers for Low-Altitude Wireless Networks
Riemannian simplices and triangulations
Combined Use of Federated Learning and Image Encryption for Privacy-Preserving Image Classification with Vision Transformer
Analysis of an Induction Machine Fed by a Space Vector Modulated VSI
Facial Anatomical Landmark Detection using Regularized Transfer Learning with Application to Fetal Alcohol Syndrome Recognition
Design and Analysis of a Single-Camera Omnistereo Sensor for Quadrotor Micro Aerial Vehicles (MAVs)
R2VF: A Two-Step Regularization Algorithm to Cluster Categories in GLMs
Cognitive Forwarding Control in Wireless Ad-Hoc Networks with Slow Fading Channels
Designing Neural Synthesizers for Low Latency Interaction
High-Fidelity Audio Generation and Representation Learning with Guided Adversarial Autoencoder
HiddenObject: Modality-Agnostic Fusion for Multimodal Hidden Object Detection
Navigating Brain Language Representations: A Comparative Analysis of Neural Language Models and Psychologically Plausible Models
Cloud Computing and Content Management Systems: A Case Study in Macedonian Education
HQ-DM: Single Hadamard Transformation-Based Quantization-Aware Training for Low-Bit Diffusion Models
Distributed order estimation of ARX model under cooperative excitation condition
Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications
Motifs in Triadic Random Graphs based on Steiner Triple Systems
nnInteractive: Redefining 3D Promptable Segmentation
Deep Learning of Chaos Classification
Resource Management Techniques for Cloud-Based IoT Environment
HairCUP: Hair Compositional Universal Prior for 3D Gaussian Avatars
Pathway: a protocol for algorithmic pricing of a DAO governance token
Generating Maximal Configurations and Their Variants Using Code Metrics
A Video-based Detector for Suspicious Activity in Examination with OpenPose
Deep Learning for Cornea Microscopy Blind Deblurring
Talking to Robots: A Practical Examination of Speech Foundation Models for HRI Applications
Optimizing Parameters for Static Equilibrium of Discrete Elastic Rods with Active-Set Cholesky
Recommending with an Agenda: Active Learning of Private Attributes using Matrix Factorization
ClusterGraph: a new tool for visualization and compression of multidimensional data
Longest Common Pattern between two Permutations
Evolutionary Landscape and Management of Population Diversity
Secure Decentralized IoT Service Platform using Consortium Blockchain
Towards Explainable Deep Learning for Credit Lending: A Case Study
Privacy Preserving Charge Location Prediction for Electric Vehicles
Explainable Reinforcement Learning on Financial Stock Trading using SHAP
Hydropower optimization: an industrial approach
Thermodynamic Principles in Social Collaborations
Cost-efficient Active Illumination Camera For Hyper-spectral Reconstruction
An Unsupervised Model with Attention Autoencoders for Question Retrieval
Loss Regularizing Robotic Terrain Classification
Second-Order Cone Relaxations of the Optimal Power Flow for Active Distribution Grids
Consistent splitting SAV schemes for finite element approximations of incompressible flows
Spectral Clustering using Eigenspectrum Shape Based Nystrom Sampling
Adaptive Parameter Selection in Nudging Based Data Assimilation
A Survey on Multi-View Clustering
Examining the Implications of Deepfakes for Election Integrity
Unsatisfiable (k,(4*2^k/k))-CNF formulas
Efficient Fault Detection and Categorization in Electrical Distribution Systems Using Hessian Locally Linear Embedding on Measurement Data
Quantum Technologies: A Review of the Patent Landscape
Tree 3-spanners of diameter at most 5
Transfer Function Optimization for Comparative Volume Rendering
Sea surface temperature prediction and reconstruction using patch-level neural network representations
Self-Retrieval: Building an Information Retrieval System with One Large Language Model
Using virtual parts to optimize the metrology process
A note on Darwiche and Pearl
Unveiling Secrets of Brain Function With Generative Modeling: Motion Perception in Primates & Cortical Network Organization in Mice
Online Adaptive Asymmetric Active Learning with Limited Budgets
Socio-technical Smart Grid Optimization via Decentralized Charge Control of Electric Vehicles
Fast Sparse Superposition Codes have Exponentially Small Error Probability for R < C
Improving General Text Embedding Model: Tackling Task Conflict and Data Imbalance through Model Merging
The role of mesh quality and mesh quality indicators in the Virtual Element Method
Computing Functions by Teams of Deterministic Finite Automata
Lessons learned from field demonstrations of model predictive control and reinforcement learning for residential and commercial HVAC: A review
SMART: Relation-Aware Learning of Geometric Representations for Knowledge Graphs
On q-ary shortened-1-perfect-like codes
Peg solitaire and Conway's soldiers on infinite graphs
A Novel Approach for Cardiac Disease Prediction and Classification Using Intelligent Agents
Full-attention based Neural Architecture Search using Context Auto-regression
Machines Explaining Linear Programs
Development and Testing of Automotive Ethernet-Networks together in one Tool - OMNeT++
Faster asynchronous MST and low diameter tree construction with sublinear communication
Learning Category-Level Generalizable Object Manipulation Policy via Generative Adversarial Self-Imitation Learning from Demonstrations
A Dataset-free Self-supervised Disentangled Learning Method for Adaptive Infrared and Visible Images Super-resolution Fusion
Proving probabilistic correctness statements: the case of Rabin's algorithm for mutual exclusion
RTLFixer: Automatically Fixing RTL Syntax Errors with Large Language Models
See, Imagine, Plan: Discovering and Hallucinating Tasks from a Single Image
Iteratively Prompting Multimodal LLMs to Reproduce Natural and AI-Generated Images
Optimal convergence of a second order low-regularity integrator for the KdV equation
Nested Graph Pseudo-Label Refinement for Noisy Label Domain Adaptation Learning
Efficient line search for optimizing Area Under the ROC Curve in gradient descent
A low-memory Lanczos method with rational Krylov compression for matrix functions
It's complicated. The relationship of algorithmic fairness and non-discrimination regulations in the EU AI Act
Optimization dependent generalization bound for ReLU networks based on sensitivity in the tangent bundle
Storage Allocation for Multi-Class Distributed Data Storage Systems
One Request, Multiple Experts: LLM Orchestrates Domain Specific Models via Adaptive Task Routing
Finite Horizon Throughput Maximization for a Wirelessly Powered Device over a Time Varying Channel
A Unifying Framework for Local Throughput in Wireless Networks
Bots sustain and inflate striking opposition in online social systems
Generating High-Quality Datasets for Code Editing via Open-Source Language Models
Deep Frequent Spatial Temporal Learning for Face Anti-Spoofing
DRAST - A Deep Learning and AST Based Approach for Bug Localization
Non-native children speech recognition through transfer learning
Generative AI and Agency in Education: A Critical Scoping Review and Thematic Analysis
Ranking protein-protein models with large language models and graph neural networks
An Explainable Disease Surveillance System for Early Prediction of Multiple Chronic Diseases
Spacetime Geometry of Denoising in Diffusion Models
Do Facial Trait Correlates with Roll Call Voting in Parliament? Using fWHR to Study Performance in Politics
BdSLW401: Transformer-Based Word-Level Bangla Sign Language Recognition Using Relative Quantization Encoding (RQE)
Oracle inequalities and minimax rates for non-local means and related adaptive kernel-based methods
An Introduction to Imperfect Competition via Bilateral Oligopoly
Numerical Discretization Methods for Seismic Response Analysis of SDOF Systems: A Unified Perspective
Multi-Source Domain Adaptation meets Dataset Distillation through Dataset Dictionary Learning
Multi-level Forwarding and Scheduling Recovery Algorithm in Rapidly-changing Network for Erasure-coded Clusters
Compressing Language Models using Doped Kronecker Products
Is "Sampling" better than "Evolution" for Search-based Software Engineering?
ViewFormer: Exploring Spatiotemporal Modeling for Multi-View 3D Occupancy Perception via View-Guided Transformers
First-order interpretations of bounded expansion classes
Differentiable Implicit Soft-Body Physics
Task allocation planning based on HTN for national economic mobilization
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
Probing Pretrained Models of Source Code
On the Stability of Gradient Descent for Large Learning Rate
Earthquake Damage Grades Prediction using An Ensemble Approach Integrating Advanced Machine and Deep Learning Models
Rate-Memory Trade-off for the Two-User Broadcast Caching Network with Correlated Sources
Communication-Efficient and Accurate Approach for Aggregation in Federated Low-Rank Adaptation
Rule-ATT&CK Mapper (RAM): Mapping SIEM Rules to TTPs Using LLMs
ArtiBench and ArtiBrain: Benchmarking Generalizable Vision-Language Articulated Object Manipulation
Zero Shot Audio to Audio Emotion Transfer With Speaker Disentanglement
Knife and Threat Detectors