yusuke1997/dblp-id-title huggingface dataset:
DarKnight: A Data Privacy Scheme for Training and Inference of Deep Neural Networks
Affordable HPC: Leveraging Small Clusters for Big Data and Graph Computing
Is PMBOK Guide the Right Fit for AI? Re-evaluating Project Management in the Face of Artificial Intelligence Projects
Towards a point-to-point CV-QKD system: Implementation challenges and perspectives
SEA: A Combined Model for Heat Demand Prediction
Proof of Work With External Utilities
MemIntelli: A Generic End-to-End Simulation Framework for Memristive Intelligent Computing
Neyman-Pearson Detection of Gauss-Markov Signals in Noise: Closed-Form Error Exponent and Properties
Adam Simplified: Bias Correction Debunked
Coupled Hierarchical Structure Learning using Tree-Wasserstein Distance
Maximum Entropy and the Glasses You Are Looking Through
The Effects of Selected Object Features on a Pick-and-Place Task: a Human Multimodal Dataset
Robotic Swarm Control from Spatio-Temporal Specifications
When not to target negative ties? Studying competitive influence maximisation in signed networks
Variably Scaled Kernels for the regularized solution of the parametric Fourier imaging problem
A Symbol-Pair Decoder for CSS Codes
Prescribed Performance Distance-Based Formation Control of Multi-Agent Systems (Extended Version)
A Case for Leveraging Generative AI to Expand and Enhance Training in the Provision of Mental Health Services
Do Students Debias Like Teachers? On the Distillability of Bias Mitigation Methods
An Incremental Clustering Method for Anomaly Detection in Flight Data
HADA: Human-AI Agent Decision Alignment Architecture
Fast Rates in Online Convex Optimization by Exploiting the Curvature of Feasible Sets
An Internet-enabled technology to support Evolutionary Design
Reducing Computational Complexity of Rigidity-Based UAV Trajectory Optimization for Real-Time Cooperative Target Localization
Efficient Accountable Authority Identity-Based Encryption under Static Complexity Assumptions
Non-Blocking Concurrent Imperative Programming with Session Types
Stereo relative pose from line and point feature triplets
Human-Centered Shared Autonomy for Motor Planning, Learning, and Control Applications
Spatial Data Generators
Exact Selectivity Computation for Modern In-Memory Database Query Optimization
Federated Online Clustering of Bandits
Boundary Blending: Reconsidering the Design of Multi-View Visualizations
Towards Harmonized Regional Style Transfer and Manipulation for Facial Images
Vibration fault detection in wind turbines based on normal behaviour models without feature engineering
Combining Aggregated Attention and Transformer Architecture for Accurate and Efficient Performance of Spiking Neural Networks
Iterative Learning Control - Deep Dive
Revisiting the Trade-off between Accuracy and Robustness via Weight Distribution of Filters
Analysis of Sectoral Profitability of the Indian Stock Market Using an LSTM Regression Model
Can pruning improve certified robustness of neural networks?
New Strong Converse for Asymmetric Broadcast Channels
Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST
Map-Based Visualization of 2D/3D Spatial Data via Stylization and Tuning of Information Emphasis
Optimal control in opinion dynamics models: towards a unified framework
Deep Learning Systems for Advanced Driving Assistance
Singular layer Physics Informed Neural Network method for Plane Parallel Flows
Perfect Codes for Generalized Deletions from Minuscule Elements of Weyl Groups
A Data-Centric Approach to Generalizable Speech Deepfake Detection
Curve-based slicer for multi-axis DLP 3D printing
Learning A Zero-shot Occupancy Network from Vision Foundation Models via Self-supervised Adaptation
Scalpel: The Python Static Analysis Framework
The Exact Asymptotic Form of Bayesian Generalization Error in Latent Dirichlet Allocation
Scalable Hash Table for NUMA Systems
Is Next Token Prediction Sufficient for GPT? Exploration on Code Logic Comprehension
Learning Structured Representations of Visual Scenes
Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (2010)
Boosting-Based Sequential Meta-Tree Ensemble Construction for Improved Decision Trees
Performance Comparison Between VoLTE and non-VoLTE Voice Calls During Mobility in Commercial Deployment: A Drive Test-Based Analysis
Coarse scrambling for Sobol' and Niederreiter sequences
Optical Flow Estimation in the Deep Learning Age
Numerical approximation of discontinuous solutions of the semilinear wave equation
Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution
EfficientWord-Net: An Open Source Hotword Detection Engine based on One-shot Learning
Heuristic with elements of tabu search for Truck and Trailer Routing Problem
DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Diffusion Model
BWCP: Probabilistic Learning-to-Prune Channels for ConvNets via Batch Whitening
Accuracy in Spreadsheet Modelling Systems
Infusion: Internal Diffusion for Video Inpainting
COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep Learning
RFID Applications: An Introductory and Exploratory Study
Zero-shot Sequence Labeling: Transferring Knowledge from Sentences to Tokens
Green Prompting
Balancing Innovation and Sustainability: Addressing the Environmental Impact of Bitcoin Mining
Hierarchical Metric Learning for Fine Grained Image Classification
An empirical study of public data quality problems in cross project defect prediction
Adaptive Bitrate Video Streaming for Wireless nodes: A Survey
Offline Reinforcement Learning for Learning to Dispatch for Job Shop Scheduling
Leveraging Large Language Models through Natural Language Processing to provide interpretable Machine Learning predictions of mental deterioration in real time
Benchmarking machine learning models for multi-class state recognition in double quantum dot data
Texture-guided Coding for Deep Features
Towards Accommodating Real-time Jobs on HPC Platforms
Deep Learning Based Speed Estimation for Constraining Strapdown Inertial Navigation on Smartphones
Socially Interactive Agents for Robotic Neurorehabilitation Training: Conceptualization and Proof-of-concept Study
Model-inspired Deep Learning for Light-Field Microscopy with Application to Neuron Localization
Multi-Scale Body-Part Mask Guided Attention for Person Re-identification
Pedestrian motion prediction evaluation for urban autonomous driving
Competition among reputations in the 2D Sznajd model: Spontaneous emergence of democratic states
Alan Turing's Legacy: Info-Computational Philosophy of Nature
Energy-Efficient UAV Multicasting with Simultaneous FSO Backhaul and Power Transfer
Variational Auto-encoded Deep Gaussian Processes
Performance evaluation and enhancement of VLAN via wireless networks using OPNET modeler
Hamming Attention Distillation: Binarizing Keys and Queries for Efficient Long-Context Transformers
Process Supervision-Guided Policy Optimization for Code Generation
Score-based change point detection via tracking the best of infinitely many experts
Promoting Inclusive Design Practice at the Global Game Jam: A Pilot Evaluation
A Comparison of Meta-heuristic Search for Interactive Software Design
Impact of an Autonomous Shuttle Service on Urban Road Capacity: Experiments by Microscopic Traffic Simulation
Leveraging Advantages of Interactive and Non-Interactive Models for Vector-Based Cross-Lingual Information Retrieval
Disinformation, Stochastic Harm, and Costly Filtering: A Principal-Agent Analysis of Regulating Social Media Platforms
Semi-dynamic Green Resource Management in Downlink Heterogeneous Networks by Group Sparse Power Control
CIDEr: Consensus-based Image Description Evaluation
Communication Network Design: Balancing Modularity and Mixing via Optimal Graph Spectra
Do We Need Subsidiarity in Software?
Gaussian to log-normal transition for independent sets in a percolated hypercube
Kannudi - A Reference Editor for Kannada
Deep Transfer Learning for Brain Magnetic Resonance Image Multi-class Classification
A Structured Dataset of Disease-Symptom Associations to Improve Diagnostic Accuracy
Handling Multiple Hypotheses in Coarse-to-Fine Dense Image Matching
Emergence of Multivariate Extremes in Multilayer Inhomogeneous Random Graphs
Forest vs Tree: The (N, K) Trade-off in Reproducible ML Evaluation
On the Intersection and Composition properties of conditional independence
Assured RL: Reinforcement Learning with Almost Sure Constraints
Generating personalized counterfactual interventions for algorithmic recourse by eliciting user preferences
Convergence rates of the stochastic alternating algorithm for bi-objective optimization
ZigzagPointMamba: Spatial-Semantic Mamba for Point Cloud Understanding
Enumeration of Far-Apart Pairs by Decreasing Distance for Faster Hyperbolicity Computation
Multi-fidelity prediction of fluid flow and temperature field based on transfer learning using Fourier Neural Operator
The swept rule for breaking the latency barrier in time advancing two-dimensional PDEs
Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning
Answer Identification in Collaborative Organizational Group Chat
On the Design of an Insurance Mechanism for Reliability Differentiation in Electricity Markets
How Does LLM Reasoning Work for Code? A Survey and a Call to Action
Reflexive Composition of Elementary State Machines, with an Application to the Reversal of Cellular Automata Rule 90
Closeness Centrality Algorithms For Multilayer Networks
Deep Learning Approaches with Explainable AI for Differentiating Alzheimer Disease and Mild Cognitive Impairment
Additive Tree O(ρ log n)-Spanners from Tree Breadth ρ
Modality-Aware Contrastive Instance Learning with Self-Distillation for Weakly-Supervised Audio-Visual Violence Detection
Blockchain in a nutshell
Prefix Guidance: A Steering Wheel for Large Language Models to Defend Against Jailbreak Attacks
Toward distortion-aware change detection in realistic scenarios
Conditional Independence in Uncertainty Theories
CusEnhancer: A Zero-Shot Scene and Controllability Enhancement Method for Photo Customization via ResInversion
SemanticMIM: Marring Masked Image Modeling with Semantics Compression for General Visual Representation
Landscape of IoT Patterns
End-to-end Unsupervised Learning of Long-Term 3D Stable objects
Pronunciation Generation for Foreign Language Words in Intra-Sentential Code-Switching Speech Recognition
Edge-Native, Behavior-Adaptive Drone System for Wildlife Monitoring
A Sufficient Condition for Gaining Belief in Byzantine Fault-Tolerant Distributed Systems
Discrete Hessian complexes in three dimensions
AGP: A Novel Arabidopsis thaliana Genomics-Phenomics Dataset and its HyperGraph Baseline Benchmarking
Predicting Regional Locust Swarm Distribution with Recurrent Neural Networks
Using Micro-collections in Social Media to Generate Seeds for Web Archive Collections
Separating regular languages by piecewise testable and unambiguous languages
The Minimum Wage as an Anchor: Effects on Determinations of Fairness by Humans and AI
Spontaneous centralization of control in a network of company ownerships
The complexity of computing in continuous time: space complexity is precision
A stabilizer free weak Galerkin element method with supercloseness of order two
Practitioner Paper: Decoding Intellectual Property: Acoustic and Magnetic Side-channel Attack on a 3D Printer
Molecular communication in fluid media: The additive inverse Gaussian noise channel
Gestalt Phenomenon in Music? A Neurocognitive Physics Study with EEG
LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters
Quantifying Risks in Multi-turn Conversation with Large Language Models
Robust and scalable nonlinear solvers for finite element discretizations of biological transportation networks
Multi-Codec DASH Dataset
Large language models for crowd decision making based on prompt design strategies using ChatGPT: models, analysis and challenges
Communication Bounds for Convolutional Neural Networks
A Mathematical Explanation of UNet
A Review of Quantum and Hybrid Quantum / Classical Blockchain Protocols
File-based storage of Digital Objects and constituent datastreams: XMLtapes and Internet Archive ARC files
Impact of Data Distribution on Fairness Guarantees in Equitable Deep Learning
The Devil in the Details: Simple and Effective Optical Flow Synthetic Data Generation
Estimating Reliability of Electric Vehicle Charging Ecosystem using the Principle of Maximum Entropy
New C++ paradigms applied to the implementation of efficient arbitrary-rank tensors for high-performance computing
A Hybrid MLP-SVM Model for Classification using Spatial-Spectral Features on Hyper-Spectral Images
How to Achieve High Classification Accuracy with Just a Few Labels: A Semi-supervised Approach Using Sampled Packets
Geometric Multiscale Community Detection: Markov Stability and Vector Partitioning
Rate-Matching Deep Polar Codes via Polar Coded Extension
Audio Steganography: LSB Technique Using a Pyramid Structure and Range of Bytes
ReFoRCE: A Text-to-SQL Agent with Self-Refinement, Format Restriction, and Column Exploration
RelDiff: Relational Data Generative Modeling with Graph-Based Diffusion Models
Think Before You Drive: World Model-Inspired Multimodal Grounding for Autonomous Vehicles
Mapping Surgeon's Hand/Finger Motion During Conventional Microsurgery to Enhance Intuitive Surgical Robot Teleoperation
Difference vs. Quotient: A Novel Algorithm for Dominant Eigenvalue Problem
Post-hurricane building damage assessment using street-view imagery and structured data: A multi-modal deep learning approach
Post-disaster Repair Scheduling in Partially Automated Electricity Distribution Networks
How to decompose a permutation into a pair of labeled Dyck paths by playing a game
Towards a Microservice-based Middleware for a Multi-hazard Early Warning System
FlowDPS: Flow-Driven Posterior Sampling for Inverse Problems
Hybrid recommendation methods in complex networks
MLFEF: Machine Learning Fusion Model with Empirical Formula to Explore the Momentum in Competitive Sports
Cognitive Kernel: An Open-source Agent System towards Generalist Autopilots
End-to-End Dense Video Captioning with Masked Transformer
XToM: Exploring the Multilingual Theory of Mind for Large Language Models
Data Augmentation Through Monte Carlo Arithmetic Leads to More Generalizable Classification in Connectomics
Extending the regime of linear response with synthetic forcings
Secure Text Mail Encryption with Generative Adversarial Networks
An Optimal Distributed Edge-Biconnectivity Algorithm
Multi-label Object Attribute Classification using a Convolutional Neural Network
Space optimal and asymptotically move optimal Arbitrary Pattern Formation on rectangular grid by asynchronous robot swarm
LLM-as-a-Judge is Bad, Based on AI Attempting the Exam Qualifying for the Member of the Polish National Board of Appeal
PsychAdapter: Adapting LLM Transformers to Reflect Traits, Personality and Mental Health
Deep Mamba Multi-modal Learning
GENN: Predicting Correlated Drug-drug Interactions with Graph Energy Neural Networks
Data-based Polymer-Unit Fingerprint (PUFp): A Newly Accessible Expression of Polymer Organic Semiconductors for Machine Learning
Estimating the Uncertainty in Emotion Class Labels with Utterance-Specific Dirichlet Priors
Consistent and Asymptotically Statistically-Efficient Solution to Camera Motion Estimation
A new analytical technique of the fully implicit Crank-Nicolson discontinuous Galerkin method for the Ginzburg-Landau Model
Joint COCO and Mapillary Workshop at ICCV 2019 Keypoint Detection Challenge Track Technical Report: Distribution-Aware Coordinate Representation for Human Pose Estimation
Transfer of Manure as Fertilizer from Livestock Farms to Crop Fields: The Case of Catalonia
Multidimensional User Data Model for Web Personalization
Bifidelity data-assisted neural networks in nonintrusive reduced-order modeling
Tensor train optimization for mathematical model of social networks
Deep Neural Ensemble for Retinal Vessel Segmentation in Fundus Images towards Achieving Label-free Angiography
EdgeFlowNet: 100FPS@1W Dense Optical Flow For Tiny Mobile Robots
Beyond the Mean: Differentially Private Prototypes for Private Transfer Learning
High-order tensor flow processing using integrated photonic circuits
Decompose Semantic Shifts for Composed Image Retrieval
Deep learning universal crater detection using Segment Anything Model (SAM)
A new technique to solve linear integro-differential equations (IDEs) with modified Bernoulli polynomials
Looking Back, Moving Forward: A First-Person Perspective Of How Past Artificial Intelligence Encounters Shape Today's Creative Practice
Adaptive Safety for Uncertain Nonlinear Systems with Control Barrier Functions and Contraction Metrics
Prior Knowledge Neural Network for Automatic Feature Construction in Financial Time Series
GIScience in the Era of Artificial Intelligence: A Research Agenda Towards Autonomous GIS
Spectral Detection on Sparse Hypergraphs
TURNIP: A "Nondeterministic" GPU Runtime with CPU RAM Offload
Height Prediction and Refinement from Aerial Images with Semantic and Geometric Guidance
Context-aware Helpfulness Prediction for Online Product Reviews
The Governance of Physical Artificial Intelligence
COMMAND: Certifiable Open Measurable Mandates
IMC 2024 Methods & Solutions Review
Topological Content Delivery with Feedback and Random Receiver Cache
Training Data Generating Networks: Linking 3D Shapes and Few-Shot Classification
Machine Learning in Gamma Astronomy
BCNet: Learning Body and Cloth Shape from A Single Image
Optimized classification with neural ODEs via separability
Discriminative and Generative Transformer-based Models For Situation Entity Classification
Counterfactual Inference for Consumer Choice Across Many Product Categories
Oriented coloring of graphs with low maximum degree
Asymptotic expansion regularization for inverse source problems in two-dimensional singularly perturbed nonlinear parabolic PDEs
Methodology for forecasting and optimization in IEEE-CIS 3rd Technical Challenge
Optimizing Electric Taxi Charging System: A Data-Driven Approach from Transport Energy Supply Chain Perspective
Equivariant amortized inference of poses for cryo-EM
Convolutional Neural Networks Towards Arduino Navigation of Indoor Environments
Perspectives on the Formation of Peakons in the Stochastic Camassa-Holm Equation
Mapping network structures and dynamics of decentralised cryptocurrencies: The evolution of Bitcoin (2009-2023)
A Comparison of AIS, X-Band Marine Radar Systems and Camera Surveillance Systems in the Collection of Tracking Data
Some modal and temporal translations of generalized basic logic
Fine-Tuning Hybrid Physics-Informed Neural Networks for Vehicle Dynamics Model Estimation
Motion-Robust T2* Quantification from Gradient Echo MRI with Physics-Informed Deep Learning
UPC's Speech Translation System for IWSLT 2021
Computing the decomposition group of a zero-dimensional ideal by elimination method
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models
SoftIGA: soft isogeometric analysis
LOGAN: Latent Optimisation for Generative Adversarial Networks
EALG: Evolutionary Adversarial Generation of Language Model-Guided Generators for Combinatorial Optimization
Mitigating Biased Activation in Weakly-supervised Object Localization via Counterfactual Learning
Generating Code Summaries Using the Power of the Crowd
Relighting from a Single Image: Datasets and Deep Intrinsic-based Architecture
A Novel Representation to Improve Team Problem Solving in Real-Time
DF-Mamba: Deformable State Space Modeling for 3D Hand Pose Estimation in Interactions
Towards Human-Understandable Visual Explanations: Imperceptible High-frequency Cues Can Better Be Removed
Waveform Design Using Half-duplex Devices for 6G Joint Communications and Sensing
Research and experimental verification on low-frequency long-range sound propagation characteristics under ice-covered and range-dependent marine environment in the Arctic
Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context
FlowDB a large scale precipitation, river, and flash flood dataset
Solving the swing-up and balance task for the Acrobot and Pendubot with SAC
Phase-Based Approaches for Rapid Construction of Magnetic Fields in NV Magnetometry
Influence of Publication Capacity on Journal Impact Factor for International Open Access Journals from China: Insights from Microeconomic Analysis
Synthesis of unitaries with Clifford+T circuits
Automating the audit of electronic invoices with a soft robot
Learning Relative Return Policies With Upside-Down Reinforcement Learning
A Hierarchical User Intention-Habit Extract Network for Credit Loan Overdue Risk Detection
Computation for Supremal Simulation-Based Controllable and Strong Observable Subautomata
Unmasking the abnormal events in video
A 0.96pJ/SOP, 30.23K-neuron/mm^2 Heterogeneous Neuromorphic Chip With Fullerene-like Interconnection Topology for Edge-AI Computing
Meta-Learning for improving rare word recognition in end-to-end ASR
Combinational Q-Learning for Dou Di Zhu
RIS-Enabled Smart Wireless Environments: Deployment Scenarios, Network Architecture, Bandwidth and Area of Influence
Distributed MCMC inference for Bayesian Non-Parametric Latent Block Model
An Alarm System For Segmentation Algorithm Based On Shape Model
Fisheye Lens Camera based Autonomous Valet Parking System
Dialogue State Distillation Network with Inter-Slot Contrastive Learning for Dialogue State Tracking
On Use of the Moore-Penrose Pseudoinverse for Evaluating the RGA of Non-Square Systems
Strict stability of extension types
Penalized Principal Component Analysis using Nesterov Smoothing
Solving Orthogonal Group Synchronization via Convex and Low-Rank Optimization: Tightness and Landscape Analysis
A review of systematic selection of clustering algorithms and their evaluation
Transactional Properties of Permissioned Blockchains
Design, Fabrication, and Measurement of a Hemispherical Multi-Layer Band-Pass Frequency Selective Surface
An Asymptotic (4/3+ε)-Approximation for the 2-Dimensional Vector Bin Packing Problem
Attention Grounded Enhancement for Visual Document Retrieval
Estimating Uncertainty in Landslide Segmentation Models
Byam: Fixing Breaking Dependency Updates with Large Language Models
AGC-Drive: A Large-Scale Dataset for Real-World Aerial-Ground Collaboration in Driving Scenarios
Edge Caching in Dense Heterogeneous Cellular Networks with Massive MIMO Aided Self-backhaul
O(p log d) Subgraph Isomorphism using Stigmergic Swarming Agents
Learning Deep Representations of Medical Images using Siamese CNNs with Application to Content-Based Image Retrieval
Counting Objects in a Robotic Hand
Heracles: A HfO 2 Ferroelectric Capacitor Compact Model for Efficient Circuit Simulations
Monitoring the Seismic Behavior of a Scaled RC Frame with Intermediate Ductility in a Shaking Table Test
Social Capital and Persistence in Computer Science of Google's Computer Science Summer Institute (CSSI) Students
Non-Registration Change Detection: A Novel Change Detection Task and Benchmark Dataset
Conditions for Stability in Strategic Matching
Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning
Bidirectional Age of Incorrect Information: A Performance Metric for Status Updates in Virtual Dynamic Environments
FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP Tasks
Homomorphic Mappings for Value-Preserving State Aggregation in Markov Decision Processes
Assessment of Practical Smart Gateway Diversity Based on Multi-Site Measurements in Q/V band
A Distribution Law for CCS and a New Congruence Result for the pi-calculus
License Plate Detection and Recognition Using Deeply Learned Convolutional Neural Networks
Gradients Stand-in for Defending Deep Leakage in Federated Learning
A New Radial Basis Function Approximation with Reproduction
Quantum Distance Approximation for Persistence Diagrams
Learning Dynamics from Infrequent Output Measurements for Uncertainty-Aware Optimal Control
Degrees of Freedom of a Communication Channel and Kolmogorov numbers
On the Model-Agnostic Multi-Source-Free Unsupervised Domain Adaptation