yusuke1997/dblp-id-title huggingface dataset:
A collection of the accepted papers for the Human-Centric Representation Learning workshop at AAAI 2024
CWS-PResUNet: Music Source Separation with Channel-wise Subband Phase-aware ResUNet
GPT Paternity Test: GPT Generated Text Detection with GPT Genetic Inheritance
Optimal Sensor Placement in Power Grids: Power Domination, Set Covering, and the Neighborhoods of Zero Forcing Forts
Developing a Model-Driven Reengineering Approach for Migrating PL/SQL Triggers to Java: A Practical Experience
Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement Learning
Easier Said Than Done: The Failure of Top-Level Cybersecurity Advice for Consumer IoT Devices
Optimal Structure of Receive Beamforming for Over-the-Air Computation
On the Predictability of non-CGM Diabetes Data for Personalized Recommendation
Generative ODE Modeling with Known Unknowns
Skeleton-Guided Diffusion Model for Accurate Foot X-ray Synthesis in Hallux Valgus Diagnosis
Stochastic Operation of Energy Constrained Microgrids Considering Battery Degradation
Exponential Quantum Tsallis Havrda Charvat Entropy of Type Alpha
Application-Agnostic Offloading of Packet Processing
Simple average-case lower bounds for approximate near-neighbor from isoperimetric inequalities
A mimetic discretization of the macroscopic Maxwell equations in Hamiltonian form
Input-to-state stability of a scalar conservation law with nonlocal velocity
Large Language Models Reflect the Ideology of their Creators
Q-Sched: Pushing the Boundaries of Few-Step Diffusion Models with Quantization-Aware Scheduling
HyRES: A Hybrid Replication and Erasure Coding Approach to Data Storage
Cribriform pattern detection in prostate histopathological images using deep learning models
Towards Operational Data Analytics Chatbots - Virtual Knowledge Graph is All You Need
Knowledge Distillation via Query Selection for Detection Transformer
Stochastic Galerkin Methods for the Boltzmann-Poisson system
Nonlinear Principal Component Analysis with Random Bernoulli Features for Process Monitoring
HiFi-RAG: Hierarchical Content Filtering and Two-Pass Generation for Open-Domain RAG
Towards Extremely Compact RNNs for Video Recognition with Fully Decomposed Hierarchical Tucker Structure
WAR-Re: Web API Recommendation with Semantic Reasoning
Rough Sets in Graphs Using Similarity Relations
DGNet: Dynamic Gradient-guided Network with Noise Suppression for Underwater Image Enhancement
Needmining: Identifying micro blog data containing customer needs
Sequential Algorithms and Independent Sets Discovering on Large Sparse Random Graphs
Airport Taxi Time Prediction and Alerting: A Convolutional Neural Network Approach
Knowledge Graph-Driven Retrieval-Augmented Generation: Integrating Deepseek-R1 with Weaviate for Advanced Chatbot Applications
Recognizing Objects In-the-wild: Where Do We Stand?
The Many Facets of Trust in AI: Formalizing the Relation Between Trust and Fairness, Accountability, and Transparency
Topic model based on co-occurrence word networks for unbalanced short text datasets
When AI Takes the Couch: Psychometric Jailbreaks Reveal Internal Conflict in Frontier Models
A Probabilistic Quality Representation Approach to Deep Blind Image Quality Prediction
The State of Modeling, Simulation, and Data Utilization within Industry: An Autonomous Vehicles Perspective
TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis
Grouping of N-1 Contingencies for Controller Synthesis: A Study for Power Line Failures
Underdetermined Fourier Extensions for Partial Differential Equations on Surfaces
How random are complex networks
Stability of Ecological Systems: A Theoretical Review
A neuroergonomics model to evaluating nuclear power plants operators' performance under heat stress driven by ECG time-frequency spectrums and fNIRS prefrontal cortex network: a CNN-GAT fusion model
Ecology 2.0: Coexistence and Domination among Interacting Networks
llm-japanese-dataset v0: Construction of Japanese Chat Dataset for Large Language Models and its Methodology
Input Warping for Bayesian Optimization of Non-stationary Functions
A Multi-Layout Approach to Immersive Visualization of Network Data
Learning transformed product distributions
A note on the error analysis of data-driven closure models for large eddy simulations of turbulence
Rethinking Automatic Evaluation in Sentence Simplification
Performance Measures in Electric Power Networks under Line Contingencies
Hyper-GoalNet: Goal-Conditioned Manipulation Policy Learning with HyperNetworks
Augmentation-aware Self-supervised Learning with Guided Projector
Numerical integration of stochastic contact Hamiltonian systems via stochastic Herglotz variational principle
Bi^2MAC: Bimodal Bi-Adaptive Mask-Aware Convolution for Remote Sensing Pansharpening
Domain Adaptation Under Behavioral and Temporal Shifts for Natural Time Series Mobile Activity Recognition
DeepGesture: A conversational gesture synthesis system based on emotions and semantics
Convergence Analysis of MAP based Blur Kernel Estimation
Debiasing Graph Representation Learning based on Information Bottleneck
Physics-Informed Holomorphic Neural Networks (PIHNNs): Solving Linear Elasticity Problems
Design and Analysis of a Robust Control System for Triple Inverted Pendulum Stabilization
Efficient and Flexible Method for Reducing Moderate-size Deep Neural Networks with Condensation
Proof Artifact Co-training for Theorem Proving with Language Models
YORC: Yoruba Reading Comprehension dataset
Putting Fürer Algorithm into Practice with the BPAS Library
VisNumBench: Evaluating Number Sense of Multimodal Large Language Models
Single Channel Speech Enhancement Using Outlier Detection
Influence of ASR and Language Model on Alzheimer's Disease Detection
Active Foundational Models for Fault Diagnosis of Electrical Motors
A Subsampling Based Neural Network for Spatial Data
Indoor Positioning with Radio Location Fingerprinting
A similarity-based community detection method with multiple prototype representation
Advective Diffusion Transformers for Topological Generalization in Graph Learning
GeoLangBind: Unifying Earth Observation with Agglomerative Vision-Language Foundation Models
MageSQL: Enhancing In-context Learning for Text-to-SQL Applications with Large Language Models
TumorGen: Boundary-Aware Tumor-Mask Synthesis with Rectified Flow Matching
Intro-Stabilizing Byzantine Clock Synchronization in Heterogeneous IoT Networks
Artificial Intelligence for Drug Discovery: Are We There Yet?
Temporal assessment of malicious behaviors: application to turnout field data monitoring
S 2 LM: Towards Semantic Steganography via Large Language Models
The Case for Evaluating Multimodal Translation Models on Text Datasets
Multicast Capacity Scaling of Wireless Networks with Multicast Outage
Camera Motion Estimation by Convex Programming
Bayesian Quantum Neural Network for Renewable-Rich Power Flow with Training Efficiency and Generalization Capability Improvements
Approaches toward Maintaining Bi-connectivity for Resilience in Overlaid Multicasting
Learning with minimal effort: leveraging in silico labeling for cell and nucleus segmentation
Multi-View Features and Hybrid Reward Strategies for Vatex Video Captioning Challenge 2019
On the Complexity Analysis of Randomized Block-Coordinate Descent Methods
AdaWCT: Adaptive Whitening and Coloring Style Injection
Gradient-based Taxis Algorithms for Network Robotics
Dynamic Memory-based Curiosity: A Bootstrap Approach for Exploration
Akceleracja obliczen algebry liniowej z wykorzystaniem masywnie rownoleglych, wielordzeniowych procesorow GPU
Tradeoff between Ergodic Rate and Delivery Latency in Fog Radio Access Networks
Efficient Pix2Vox++ for 3D Cardiac Reconstruction from 2D echo views
Engineering LLM Powered Multi-agent Framework for Autonomous CloudOps
Logic of computational semi-effects and categorical gluing for equivariant functors
High-Quality Face Image SR Using Conditional Generative Adversarial Networks
An Overview of Nominal-Typing versus Structural-Typing in Object-Oriented Programming
Agentic Satellite-Augmented Low-Altitude Economy and Terrestrial Networks: A Survey on Generative Approaches
Fair cost allocation for ridesharing services - modeling, mathematical programming and an algorithm to find the nucleolus
HashGAN: Attention-aware Deep Adversarial Hashing for Cross Modal Retrieval
Equivalence of Context and Parameter Updates in Modern Transformer Blocks
PipeDream: Fast and Efficient Pipeline Parallel DNN Training
Generative x-vectors for text-independent speaker verification
workload forecasting and resource management models based on machine learning for cloud computing environments
Buffer-Aided Relay Selection Algorithms for Physical-Layer Security in Wireless Networks
PePScenes: A Novel Dataset and Baseline for Pedestrian Action Prediction in 3D
LGML: Logic Guided Machine Learning
Pressure Predictions of Turbine Blades with Deep Learning
Democracy of AI Numerical Weather Models: An Example of Global Forecasting with FourCastNetv2 Made by a University Research Lab Using GPU
Repurposing 2D Diffusion Models with Gaussian Atlas for 3D Generation
Defense Against the Dark Arts: An overview of adversarial example security research and future research directions
Performance Analysis of Target Parameters Estimation Using Multiple Widely Separated Antenna Arrays
Designing a Micro-Benchmark Suite to Evaluate gRPC for TensorFlow: Early Experiences
Improving Performance of Private Federated Models in Medical Image Analysis
Toward an Ethics of AI Belief
Uncovering Download Fraud Activities in Mobile App Markets
A Principled Evaluation Protocol for Comparative Investigation of the Effectiveness of DNN Classification Models on Similar-but-non-identical Datasets
Achieving Data Utility-Privacy Tradeoff in Internet of Medical Things: A Machine Learning Approach
Leveraging ASIC AI Chips for Homomorphic Encryption
Two-Stage Vision Transformer for Image Restoration: Colorization Pretraining + Residual Upsampling
Kernel Treatment Effects with Adaptively Collected Data
Slicing Aided Hyper Inference and Fine-tuning for Small Object Detection
Seeing Sarcasm Through Different Eyes: Analyzing Multimodal Sarcasm Perception in Large Vision-Language Models
Analysis of Y00 Protocol under Quantum Generalization of a Fast Correlation Attack: Toward Information-Theoretic Security
MSynFD: Multi-hop Syntax aware Fake News Detection
Self-Supervision and Spatial-Sequential Attention Based Loss for Multi-Person Pose Estimation
A Framework for Behavior Privacy Preserving in Radio Frequency Signal
Label Adversarial Learning for Skeleton-level to Pixel-level Adjustable Vessel Segmentation
An Object-Oriented Framework for Designing Reusable and Maintainable DEVS Models using Design Patterns
Computational Pathology: A Survey Review and The Way Forward
Recursive Cross-View: Use Only 2D Detectors to Achieve 3D Object Detection without 3D Annotations
Fine-Grained Authorization for Job Execution in the Grid: Design and Implementation
Enhancement in the effectiveness of requirement change management model for global software development
Dynamic-ICP: Doppler-Aware Iterative Closest Point Registration for Dynamic Scenes
Unsupervised Cognition
Ensemble Neural Representation Networks
Benchmarking Large Language Models As AI Research Agents
Resilience of Networks to Spreading Computer Viruses: Optimal Anti-Virus Deployment (Extended Version)
Relaxed Softmax for learning from Positive and Unlabeled data
VideoLucy: Deep Memory Backtracking for Long Video Understanding
Learning rational stochastic languages
OccInpFlow: Occlusion-Inpainting Optical Flow Estimation by Unsupervised Learning
CoGraM: Context-sensitive granular optimization method with rollback for robust model fusion
A Simple Approach to Learn Polysemous Word Embeddings
Approximation Rates in Fréchet Metrics: Barron Spaces, Paley-Wiener Spaces, and Fourier Multipliers
Two Timin': Repairing Smart Contracts With A Two-Layered Approach
A Hierarchy of Tree-Automatic Structures
Consolidating Commonsense Knowledge
Dynamic Prioritization for Conflict-Free Path Planning of Multi-Robot Systems
The Minor Fall, the Major Lift: Inferring Emotional Valence of Musical Chords through Lyrics
IQDet: Instance-wise Quality Distribution Sampling for Object Detection
Improved Hyperspectral Unmixing With Endmember Variability Parametrized Using an Interpolated Scaling Tensor
Stock Type Prediction Model Based on Hierarchical Graph Neural Network
Contextual Vision Transformers for Robust Representation Learning
Roadmap Enhanced Improvement to the VSIMM Tracker via a Constrained Stochastic Context Free Grammar
MiDAS: Multi-integrated Domain Adaptive Supervision for Fake News Detection
Does Combining Parameter-efficient Modules Improve Few-shot Transfer Accuracy?
RuleRunner technical report
Interplay between Sensing and Communication in Cell-Free Massive MIMO with URLLC Users
Distortion-Tolerant Monocular Depth Estimation On Omnidirectional Images Using Dual-cubemap
Physics of Learning: A Lagrangian perspective to different learning paradigms
A Smoke Removal Method for Laparoscopic Images
Picky Eaters Make For Better Raters
Secret key agreement from correlated data, with no prior information
Transfer Learning versus Multi-agent Learning regarding Distributed Decision-Making in Highway Traffic
On a family of cubic graphs containing the flower snarks
A Consensus Protocol for e-Democracy
Efficient Temporal Piecewise-Linear Numeric Planning with Lazy Consistency Checking
Future Evolution of CSMA Protocols for the IEEE 802.11 Standard
Verifiable Elections with Commitment Consistent Encryption - A Primer
Distributed Smart Measurement Architecture for Industrial Automation
A survey on online active learning
Hybrid ILM-NILM Smart Plug System
ReSpAct: Harmonizing Reasoning, Speaking, and Acting Towards Building Large Language Model-Based Conversational AI Agents
Agreement-based Joint Training for Bidirectional Attention-based Neural Machine Translation
HausaMT v1.0: Towards English-Hausa Neural Machine Translation
Model Already Knows the Best Noise: Bayesian Active Noise Selection via Attention in Video Diffusion Model
Bioptic - A Target-Agnostic Potency-Based Small Molecules Search Engine
PORTool: Tool-Use LLM Training with Rewarded Tree
Specifying Non-Markovian Rewards in MDPs Using LDL on Finite Traces (Preliminary Version)
Region-Point Joint Representation for Effective Trajectory Similarity Learning
High precision indoor positioning by means of LiDAR
A Computational Approach to Understand Mental Health from Reddit: Knowledge-aware Multitask Learning Framework
Exploring the Use of Predictive Analytics by Austrian Tax Authorities: A Qualitative Study within the Task-Technology Fit Model
Can Open-Domain QA Reader Utilize External Knowledge Efficiently like Humans?
Non-Existence of Linear Universal Drift Functions
Vision-based Vehicle Re-identification in Bridge Scenario using Flock Similarity
An Interactive Query Generation Assistant using LLM-based Prompt Modification and User Feedback
Glioblastoma Multiforme Prognosis: MRI Missing Modality Generation, Segmentation and Radiogenomic Survival Prediction
Scheduling in Parallel Finite Buffer Systems: Optimal Decisions under Delayed Feedback
Modeling and Analysis of 2-Tier Heterogeneous Vehicular Networks Leveraging Roadside Units and Vehicle Relays
Compression then Matching: An Efficient Pre-training Paradigm for Multimodal Embedding
Effects of demand control on the complex dynamics of electric power system blackouts
Impact of COVID-19 Policies and Misinformation on Social Unrest
A Logical Framework for Verifying Privacy Breaches of Social Networks
WIP: Turning Fake Chips into Learning Opportunities
HIPPD: Brain-Inspired Hierarchical Information Processing for Personality Detection
Recurrent Highway Networks with Language CNN for Image Captioning
Swarm Characteristic Classification using Robust Neural Networks with Optimized Controllable Inputs
An Algorithmic Structuration of a Type System for an Orthogonal Object/Relational Model
Tight Data-Driven Linear Relaxations for Constraint Screening in Robust Unit Commitment
IryoNLP at MEDIQA-CORR 2024: Tackling the Medical Error Detection & Correction Task On the Shoulders of Medical Agents
Are Large Language Models More Empathetic than Humans?
IEEE SLT 2021 Alpha-mini Speech Challenge: Open Datasets, Tracks, Rules and Baselines
MG-3D: Multi-Grained Knowledge-Enhanced 3D Medical Vision-Language Pre-training
Online Training of Large Language Models: Learn while chatting
SPARQ: Efficient Entanglement Distribution and Routing in Space-Air-Ground Quantum Networks
THQA: A Perceptual Quality Assessment Database for Talking Heads
Identifying influential spreaders in complex networks based on gravity formula
Fault Tolerance in Distributed Systems using Fused State Machines
VergeIO: Depth-Aware Eye Interaction on Glasses
Lyapunov-based uncertainty-aware safe reinforcement learning
Neuromorphic Neuromodulation: Towards the next generation of on-device AI-revolution in electroceuticals
Compiler Bugs Detection in Logic Synthesis Tools via Linear Upper Confidence Bound
Deterministic Algorithms for the Lovasz Local Lemma
Predictor Antenna Systems: Exploiting Channel State Information for Vehicle Communications
Identifying the Community Structure of the International-Trade Multi Network
An Efficient Polyphase Filter Based Resampling Method for Unifying the PRFs in SAR Data
Designing Nonlinear Photonic Crystals for High-Dimensional Quantum State Engineering
Simultaneous Moves with Cops and an Insightful Robber
Large AI Model-Enabled Generative Semantic Communications for Image Transmission
Towards Security Enhancement of Blockchain-based Supply Chain Management
On SORA for High-Risk UAV Operations under New EU Regulations: Perspectives for Automated Approach
Diffusion Hypercontractivity via Generalized Density Manifold
ForeCite: Adapting Pre-Trained Language Models to Predict Future Citation Rates of Academic Papers
Lattice polytopes in coding theory
Animation and Chirplet-Based Development of a PIR Sensor Array for Intruder Classification in an Outdoor Environment
Marriage is a Peach and a Chalice: Modelling Cultural Symbolism on the SemanticWeb
COVID-19 Severity Classification on Chest X-ray Images
Design of Optimal Topology of Satellite-Based Terrestrial Communication Networks
Latent Universal Task-Specific BERT
Dynamic Structure Estimation from Bandit Feedback
MaskGAN: Better Text Generation via Filling in the ______
CDLT: A Dataset with Concept Drift and Long-Tailed Distribution for Fine-Grained Visual Categorization
Role of Large Scale Channel Information on Predictive Resource Allocation
AugNet: Dynamic Test-Time Augmentation via Differentiable Functions
Dynamic Propagation of Mode III Cracks in a Lattice Boltzmann Method for Solids
Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesis
From the Head or the Heart? An Experimental Design on the Impact of Explanation on Cognitive and Affective Trust
iPLAN: Redefining Indoor Wireless Network Planning Through Large Language Models
AG-ReID.v2: Bridging Aerial and Ground Views for Person Re-identification
Non-Orthogonal Multiple Access for mmWave Drones with Multi-Antenna Transmission
Seasonal Prediction with Neural GCM and Simplified Boundary Forcings: Large-scale Atmospheric Variability and Tropical Cyclone Activity
VideoSeg-R1:Reasoning Video Object Segmentation via Reinforcement Learning
Trainable Loss Weights in Super-Resolution
Interpretable Computer Vision Models through Adversarial Training: Unveiling the Robustness-Interpretability Connection
NeRV-Diffusion: Diffuse Implicit Neural Representations for Video Synthesis
Semi-Autonomous Planning and Visualization in Virtual Reality
Proceedings of the Fourteenth International Symposium on Games, Automata, Logics, and Formal Verification, GandALF 2023, Udine, Italy, 18-20th September 2023
Edge coloring lattice graphs
Copyright in AI-generated works: Lessons from recent developments in patent law
WALT3D: Generating Realistic Training Data from Time-Lapse Imagery for Reconstructing Dynamic Objects under Occlusion
Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics
Ethical Decision-making for Autonomous Driving based on LSTM Trajectory Prediction Network
Knowing what you know: valid confidence sets in multiclass and multilabel prediction
SemSim: Revisiting Weak-to-Strong Consistency from a Semantic Similarity Perspective for Semi-supervised Medical Image Segmentation
Imaging a moving point source from multi-frequency data measured at one and sparse observation directions (part I): far-field case
Fully Test-Time rPPG Estimation via Synthetic Signal-Guided Feature Learning
CNN-based explanation ensembling for dataset, representation and explanations evaluation
Collaborative Intelligence: Topic Modelling of Large Language Model use in Live Cybersecurity Operations
Trusted AI Agents in the Cloud
Refining Pseudo Labels with Clustering Consensus over Generations for Unsupervised Object Re-identification
Isogeometric multi-patch C 1 -mortar coupling for the biharmonic equation
VANET Applications: Hot Use Cases
From Tracking to Robust Maneuver Regulation: an Easy-to-Design Approach for VTOL Aerial Robots
Leveraging Textual Specifications for Grammar-based Fuzzing of Network Protocols
Consistent multiple-relaxation-time lattice Boltzmann method for the volume averaged Navier-Stokes equations
Further Improvements on Approximating the Uniform Cost-Distance Steiner Tree Problem
Games with Delays. A Frankenstein Approach
Formalising Lie algebras
Can Large Language Models Unlock Novel Scientific Research Ideas?
Rethinking Uncertainty in Deep Learning: Whether and How it Improves Robustness
Towards Intelligent Reconfigurable Wireless Physical Layer (PHY)
Divergence Network: Graphical calculation method of divergence functions
Parallax-Tolerant Image Stitching with Epipolar Displacement Field
Scaling Law Analysis in Federated Learning: How to Select the Optimal Model Size?
Stability in Isolated Grids: Implementation and Analysis of the Dead-Zone Virtual Oscillator Control in Simulink and Typhoon HIL
Stochastic Linear Bandits with Latent Heterogeneity
Speaking the Right Language: The Impact of Expertise Alignment in User-AI Interactions
Controllable Dialogue Simulation with In-Context Learning
Combinatorial generation via permutation languages. V. Acyclic orientations
Machine Learning based Channel Modeling for Molecular MIMO Communications
A Short Review on Novel Approaches for Maximum Clique Problem: from Classical algorithms to Graph Neural Networks and Quantum algorithms
Myriad People Open Source Software for New Media Arts
What is in the Chrome Web Store? Investigating Security-Noteworthy Browser Extensions
Nets-within-Nets through the Lens of Data Nets
Comparing Methods for the Cross-Level Verification of SystemC Peripherals with Symbolic Execution
Identification of Source of Rumors in Social Networks with Incomplete Information
Acoustic Features Fusion using Attentive Multi-channel Deep Architecture
GUIDE: Graphical User Interface Data for Execution
GMAR: Gradient-Driven Multi-Head Attention Rollout for Vision Transformer Interpretability
Zero-determinant strategies in repeated continuously-relaxed games
Convergence analysis for a fully-discrete finite element approximation of the unsteady p(·, ·)-Navier-Stokes equations
Processing HSV Colored Medical Images and Adapting Color Thresholds for Computational Image Analysis: a Practical Introduction to an open-source tool
An Asynchronous, Decentralized Solution Framework for the Large Scale Unit Commitment Problem
Toward Effective Reinforcement Learning Fine-Tuning for Medical VQA in Vision-Language Models
Architecture of a Web-based Predictive Editor for Controlled Natural Language Processing
Logit Scaling for Out-of-Distribution Detection
(Δ-1)-dicolouring of digraphs
Approximation Algorithms for Regret-Bounded Vehicle Routing and Applications to Distance-Constrained Vehicle Routing
Natural gradient and parameter estimation for quantum Boltzmann machines
More is Less: The Pitfalls of Multi-Model Synthetic Preference Data in DPO Safety Alignment
History-deterministic Vector Addition Systems
Learning Spatial Common Sense with Geometry-Aware Recurrent Networks