yusuke1997/dblp-id-title huggingface dataset:
Virtual Breakpoints for x86/64
Early Prediction of Heart Disease Using PCA and Hybrid Genetic Algorithm with k-Means
Bregman Divergence Bounds and the Universality of the Logarithmic Loss
A supervised learning approach involving active subspaces for an efficient genetic algorithm in high-dimensional optimization problems
G2D: from GTA to Data
Evaluating Disentangled Representations
An Integration of policy and reputation based trust mechanisms
Confounder Detection in High Dimensional Linear Models using First Moments of Spectral Measures
The Algebra of Recursive Graph Transformation Language UnCAL: Complete Axiomatisation and Iteration Categorical Semantics
Influence of petroleum and gas trade on EU economies from the reduced Google matrix analysis of UN COMTRADE data
How are academic age, productivity and collaboration related to citing behavior of researchers?
Further Decimating the Inductive Programming Search Space with Instruction Digrams
Trustworthy Refactoring via Decomposition and Schemes: A Complex Case Study
Hand Gesture Recognition for Collaborative Robots Using Lightweight Deep Learning in Real-Time Robotic Systems
Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense
Normalization, Taylor expansion and rigid approximation of λ-terms
Querying Triadic Concepts through Partial or Complete Matching of Triples
Structure from WiFi (SfW): RSSI-based Geometric Mapping of Indoor Environments
VideoMAP: Toward Scalable Mamba-based Video Autoregressive Pretraining
Power Plant Detection for Energy Estimation using GIS with Remote Sensing, CNN & Vision Transformers
GUI-KV: Efficient GUI Agents via KV Cache with Spatio-Temporal Awareness
Enhancing Multistep Prediction of Multivariate Market Indices Using Weighted Optical Reservoir Computing
Towards Better Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach
GLocal: Global Graph Reasoning and Local Structure Transfer for Person Image Generation
Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text
Temporal Inference with Finite Factored Sets
Are ASR foundation models generalized enough to capture features of regional dialects for low-resource languages?
Enhanced Mortality Prediction In Patients With Subarachnoid Haemorrhage Using A Deep Learning Model Based On The Initial CT Scan
When Hypermutations and Ageing Enable Artificial Immune Systems to Outperform Evolutionary Algorithms
Evaluating the Sensitivity of LLMs to Harmful Contents in Long Input
Pruning and Malicious Injection: A Retraining-Free Backdoor Attack on Transformer Models
Crafting Adversarial Examples for Deep Learning Based Prognostics (Extended Version)
Clever Search: A WordNet Based Wrapper for Internet Search Engines
Facial Misrecognition Systems: Simple Weight Manipulations Force DNNs to Err Only on Specific Persons
Informative core identification in complex networks
A semi-supervised geometric-driven methodology for supervised fishing activity detection on multi-source AIS tracking messages
A better model of computation for digital physics?
The Likelihood Ratio Test in High-Dimensional Logistic Regression Is Asymptotically a Rescaled Chi-Square
Limited Visibility Cops and Robbers
Connected and Automated Vehicle Distributed Control for On-ramp Merging Scenario: A Virtual Rotation Approach
Trust Based Participant Driven Privacy Control in Participatory Sensing
Depth-Gated LSTM
A geometric study of Strassen's asymptotic rank conjecture and its variants
Red Blood Cell Segmentation with Overlapping Cell Separation and Classification on Imbalanced Dataset
Attention! You Vision Language Model Could Be Maliciously Manipulated
InfoNEAT: Information Theory-based NeuroEvolution of Augmenting Topologies for Side-channel Analysis
Simplifying Scholarly Abstracts for Accessible Digital Libraries
A Comprehensive Study of Deep Bidirectional LSTM RNNs for Acoustic Modeling in Speech Recognition
Vocabulary Selection Strategies for Neural Machine Translation
FiFAR: A Fraud Detection Dataset for Learning to Defer
From Drafts to Answers: Unlocking LLM Potential via Aggregation Fine-Tuning
Syn2Real Domain Generalization for Underwater Mine-like Object Detection Using Side-Scan Sonar
A Novel Distributed Representation of News (DRNews) for Stock Market Predictions
A parallel solver for fluid structure interaction problems with Lagrange multiplier
Performance Evaluation of Two-Hop Wireless Link under Nakagami-m Fading
Allocating the surplus induced by cooperation in distribution chains with multiple suppliers and retailers
Complex Amplitude-Phase Boltzmann Machines
Enhancing Romanian Offensive Language Detection through Knowledge Distillation, Multi-Task Learning, and Data Augmentation
Fixed-parameter tractability of canonical polyadic decomposition over finite fields
SmallML: Bayesian Transfer Learning for Small-Data Predictive Analytics
A Collaborative Intrusion Detection System Using Snort IDS Nodes
Ga 2 O 3 TCAD Mobility Parameter Calibration using Simulation Augmented Machine Learning with Physics Informed Neural Network
H ∞ -optimal Interval Observer Synthesis for Uncertain Nonlinear Dynamical Systems via Mixed-Monotone Decompositions
MATEY: multiscale adaptive foundation models for spatiotemporal physical systems
Detecting Concept Drift in Neural Networks Using Chi-squared Goodness of Fit Testing
Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications in AI-assisted Data Analysis
Serially Concatenated IRA Codes
Enterprise Architecture as a Dynamic Capability for Scalable and Sustainable Generative AI adoption: Bridging Innovation and Governance in Large Organisations
Visual Verity in AI-Generated Imagery: Computational Metrics and Human-Centric Analysis
Confidence driven TGV fusion
Does Adversarial Transferability Indicate Knowledge Transferability?
General adaptive rational interpolation with maximum order close to discontinuities
Learning States Representations in POMDP
A Lexical Analysis Tool with Ambiguity Support
Hybrid Monte Carlo with Chaotic Mixing
Quantum Key Storage for Efficient Key Management
Rel2Graph: Automated Mapping From Relational Databases to a Unified Property Knowledge Graph
GCNScheduler: Scheduling Distributed Computing Applications using Graph Convolutional Networks
RP-CATE: Recurrent Perceptron-based Channel Attention Transformer Encoder for Industrial Hybrid Modeling
Vector-valued Spline Method for the Spherical Multiple-shell Electro-magnetoencephalography Problem
Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery
Robust Fusion of Multi-Band Images with Different Spatial and Spectral Resolutions for Change Detection
A Technique to Create Weaker Abstract Board Game Agents via Reinforcement Learning
Exploiting Inter-Session Information with Frequency-enhanced Dual-Path Networks for Sequential Recommendation
Proving termination with transition invariants of height omega
On the Viability of using LLMs for SW/HW Co-Design: An Example in Designing CiM DNN Accelerators
Performance improvement of multiple Connections in AODV with the concern of Node bandwidth
Where is My Stuff? An Interactive System for Spatial Relations
Training Deep Architectures Without End-to-End Backpropagation: A Brief Survey
Characterizing Phishing Threats with Natural Language Processing
Some Characterizations of TTC in Multiple-Object Exchange Problems
CLPNets: Coupled Lie-Poisson Neural Networks for Multi-Part Hamiltonian Systems with Symmetries
Enumeration of non-orientable 3-manifolds using face pairing graphs and union-find
Deep Multi-task Multi-label CNN for Effective Facial Attribute Classification
Exploring Speech Pattern Disorders in Autism using Machine Learning
Align & Invert: Solving Inverse Problems with Diffusion and Flow-based Models via Representational Alignment
Subspace Thresholding Pursuit: A Reconstruction Algorithm for Compressed Sensing
Constellations on the Sphere with Efficient Encoding-Decoding for Noncoherent Communications
Input-Gen: Guided Generation of Stateful Inputs for Testing, Tuning, and Training
Are we making much progress? Revisiting chemical reaction yield prediction from an imbalanced regression perspective
Set-based and Dynamical Feedback-augmented Hands-off Control
Time-Invariant Feedback Strategies Do Not Increase Capacity of AGN Channels Driven by Stable and Certain Unstable Autoregressive Noise
NMCSE: Noise-Robust Multi-Modal Coupling Signal Estimation Method via Optimal Transport for Cardiovascular Disease Detection
Semantic Huffman Coding using Synonymous Mapping
An Insight into Spreadsheet User Behaviour through an Analysis of EuSpRIG Website Statistics
Network and Physical Layer Attacks and countermeasures to AI-Enabled 6G O-RAN
UnPWC-SVDLO: Multi-SVD on PointPWC for Unsupervised Lidar Odometry
Tracking the Best Expert Privately
Multi-HMR: Multi-Person Whole-Body Human Mesh Recovery in a Single Shot
Optimize Deep Learning Models for Prediction of Gene Mutations Using Unsupervised Clustering
Bayesian Learning for Dynamic Inference
Expected Revenue, Risk, and Grid Impact of Bitcoin Mining: A Decision-Theoretic Perspective
Automated Synthesis of a Finite Complexity Ordering for Saturation
Doubly-Regressing Approach for Subgroup Fairness
Towards Deterministic Communications in 6G Networks: State of the Art, Open Challenges and the Way Forward
Towards Fusing Point Cloud and Visual Representations for Imitation Learning
Scaling Imitation Learning in Minecraft
Column Generation for Interaction Coverage in Combinatorial Software Testing
Measuring Transparency in Intelligent Robots
Reducing Misinformation in Query Autocompletions
Evaluation of Cyber Attacks Targeting Internet Facing IoT : An Experimental Evaluation
Towards a constraint solver for proving confluence with invariant and equivalence of realistic CHR programs
Hardware-Accelerated Raycasting: Towards an Effective Brain MRI Visualization
QUIC (Quick UDP Internet Connections) - A Quick Study
Computation Offloading in the Untrusted MEC-aided Mobile Blockchain IoT System
AI virtues - The missing link in putting AI ethics into practice
Modeling and Optimization of a Longitudinally-Distributed Global Solar Grid
Optimizing the image correction pipeline for pedestrian detection in the thermal-infrared domain
Feedback Stabilization and Finite Element Error Analysis of Viscous Burgers Equation around Non-Constant Steady State
Exact Dynamics of Multi-class Stochastic Gradient Descent
Towards Building Specialized Generalist AI with System 1 and System 2 Fusion
Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image Segmentation
GaussianImage++: Boosted Image Representation and Compression with 2D Gaussian Splatting
Detecting and Classifying Flares in High-Resolution Solar Spectra with Supervised Machine Learning
Dynamic Context Adaptation for Consistent Role-Playing Agents with Retrieval-Augmented Generations
Building Information Modeling and Classification by Visual Learning At A City Scale
Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning
A Missing Value Filling Model Based on Feature Fusion Enhanced Autoencoder
A Systematic Evaluation of Large Language Models on Out-of-Distribution Logical Reasoning Tasks
Adaptive User Journeys in Pharma E-Commerce with Reinforcement Learning: Insights from SwipeRx
The hydrodynamics of a twisting, bending, inextensible fiber in Stokes flow
Toward a Robust and Generalizable Metamaterial Foundation Model
PaD: Program-aided Distillation Specializes Large Models in Reasoning
Asymmetric REINFORCE for off-Policy Reinforcement Learning: Balancing positive and negative rewards
An efficient search-and-score algorithm for ancestral graphs using multivariate information scores
Adversarial Learning for Debiasing Knowledge Graph Embeddings
Robust superconvergence analysis of physics-preserving RMAC scheme for the Stokes and Navier-Stokes equations on non-uniform grids at high Reynolds numbers
Lessons from a human-in-the-loop machine learning approach for identifying vacant, abandoned, and deteriorated properties in Savannah, Georgia
Abductive Knowledge Induction From Raw Data
Rewarded Region Replay (R3) for Policy Learning with Discrete Action Space
The Expressive Power of DL-Lite
A hybrid neuro-wavelet predictor for QoS control and stability
Geometry-based Adaptive Symbolic Approximation for Fast Sequence Matching on Manifolds: Applications to Activity Analysis
Revisiting Perceptron: Efficient and Label-Optimal Active Learning of Halfspaces
dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning
What can we learn from marketing skills as a bipartite network from accredited programs?
On Rational Krylov and Reduced Basis Methods for Fractional Diffusion
OCSM : Finding Overlapping Cohesive Subgraphs with Minimum Degree
Guadalupe: a browser design for heterogeneous hardware
Deep Learning for Electromyographic Hand Gesture Signal Classification by Leveraging Transfer Learning
MedHallTune: An Instruction-Tuning Benchmark for Mitigating Medical Hallucination in Vision-Language Models
A polytopal discontinuous Galerkin method for the pseudo-stress formulation of the unsteady Stokes problem
2D Eigenvalue Problem II: Rayleigh Quotient Iteration and Applications
Reconstruct Spine CT from Biplanar X-Rays via Diffusion Learning
Appliance of network theory in economic geography
Numerical approach for solving problems arising from polynomial analysis
Efficient Generalized Temporal Pattern Mining in Big Time Series Using Mutual Information
The geometry of moral decision making
Quantitative Matching of Forensic Evidence Fragments Utilizing 3D Microscopy Analysis of Fracture Surface Replicas
Audio-Plane: Audio Factorization Plane Gaussian Splatting for Real-Time Talking Head Synthesis
On the number of inequivalent MRD codes
An error correction scheme for improved air-tissue boundary in real-time MRI video for speech production
Progress in Privacy Protection: A Review of Privacy Preserving Techniques in Recommender Systems, Edge Computing, and Cloud Computing
An Open Source Data Contamination Report for Llama Series Models
Retrieval of surgical phase transitions using reinforcement learning
Block Full Rank Linearizations of Rational Matrices
Hardness of Approximate Nearest Neighbor Search under L-infinity
Optimizing Grid Resilience: A Capacity Reserve Market for High Impact Low Probability Events
Synthesis of Functional Unknown Input Observers for LTV and MIMO LTI Systems with Arbitrary Relative Degree
Approval-Based Committee Voting under Uncertainty
Federated Foundation Model for GI Endoscopy Images
Partial LLL Reduction
Demonstrating DVS: Dynamic Virtual-Real Simulation Platform for Mobile Robotic Tasks
Preliminary study on artificial intelligence methods for cybersecurity threat detection in computer networks based on raw data packets
Action Languages Based Actual Causality in Ethical Decision Making Contexts
A Scalable Approach to Clustering Embedding Projections
Symmetric Convolutional Filters: A Novel Way to Constrain Parameters in CNN
Convex Relaxations of Chance Constrained AC Optimal Power Flow
Multi-Erasure Locally Recoverable Codes Over Small Fields For Flash Memory Array
Cluster expansion of the log-likelihood ratio: Optimal detection of planted matchings
Betweenness Centrality as a Driver of Preferential Attachment in the Evolution of Research Collaboration Networks
Model based fractional order controller design for process plants satisfying desired robustness criteria
Discussion on "Techniques for Massive-Data Machine Learning in Astronomy" by A. Gray
Joint DOA and Delay Estimation for 3D Indoor Localization in Next Generation WiFi and 5G
Fast Test Input Generation for Finding Deviated Behaviors in Compressed Deep Neural Network
A Machine Learning Approach for Detecting Students at Risk of Low Academic Achievement
How should AI decisions be explained? Requirements for Explanations from the Perspective of European Law
Context based Text-generation using LSTM networks
In Context Learning with Vision Transformers: Case Study
Balancing Effect of Training Dataset Distribution of Multiple Styles for Multi-Style Text Transfer
Riemannian joint dimensionality reduction and dictionary learning on symmetric positive definite manifold
M -QR decomposition and hyperpower iterative methods for computing outer inverses of tensors
LIREx: Augmenting Language Inference with Relevant Explanation
An effective Time-Aware Map Matching process for low sampling GPS data
Multimodal feedback for active robot-object interaction
Dichotomy Theorems for Alternation-Bounded Quantified Boolean Formulas
MIMO Broadcast Channels with Finite Rate Feedback
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention
Mixed H 2 /H ∞ -Policy Learning Synthesis
elsciRL: Integrating Language Solutions into Reinforcement Learning Problem Settings
A Critical Look at Decentralized Personal Data Architectures
Recursive Regression with Neural Networks: Approximating the HJI PDE Solution
Perceptual Quality Assessment of Omnidirectional Audio-visual Signals
EEG Foundation Models: A Critical Review of Current Progress and Future Directions
Advanced Caching for Distributing Sensor Data through Programmable Nodes
Word Existence Algorithm
WiDEVIEW: An UltraWideBand and Vision Dataset for Deciphering Pedestrian-Vehicle Interactions
Parallel Complexity of Depth-First-Search and Maximal path
Normalizing flows for deep anomaly detection
Contrastive Analysis of Constituent Order Preferences Within Adverbial Roles in English and Chinese News: A Large-Language-Model-Driven Approach
A Novel Strategy for Improving Robustness in Computer Vision Manufacturing Defect Detection
Encoder-Decoder Neural Architecture Optimization for Keyword Spotting
The Universality of the Attractiveness Model to Weighted Networks
A Method to Speed Up Convergence of Iterative Learning Control for High Precision Repetitive Motions
Neural Echo State Network using oscillations of gas bubbles in water: Computational validation by Mackey-Glass time series forecasting
Inf-MLLM: Efficient Streaming Inference of Multimodal Large Language Models on a Single GPU
SALMON: Self-Alignment with Principle-Following Reward Models
Cross-composition Feature Disentanglement for Compositional Zero-shot Learning
Factual Consistency Evaluation of Summarisation in the Era of Large Language Models
Scaling Wide Residual Networks for Panoptic Segmentation
Prediction of breast cancer recurrence using Classification Restricted Boltzmann Machine with Dropping
Federated Learning with Heterogeneous Data: A Superquantile Optimization Approach
The Maximum Degree-and-Diameter-Bounded Subgraph in the Mesh
Tackling Morphological Analogies Using Deep Learning - Extended Version
Auxiliary Signal-Guided Knowledge Encoder-Decoder for Medical Report Generation
Direct Mutation and Crossover in Genetic Algorithms Applied to Reinforcement Learning Tasks
Advancements in Image Classification using Convolutional Neural Network
Out-of-focus Blur: Image De-blurring
Efficient Algorithms for Top-k Stabbing Queries on Weighted Interval Data (Full Version)
Hybrid Approach to Automation, RPA and Machine Learning: a Method for the Human-centered Design of Software Robots
EZClone: Improving DNN Model Extraction Attack via Shape Distillation from GPU Execution Profiles
AttentionLego: An Open-Source Building Block For Spatially-Scalable Large Language Model Accelerator With Processing-In-Memory Technology
Contrastive Graph Neural Network Explanation
The Dynamic Spectrum Aggregation Strategy for Cognitive Networks Based on Markov Model
Mastering the Game of Sungka from Random Play
Image Based Camera Localization: an Overview
Incomplete Graph Learning: A Comprehensive Survey
AI-driven visual monitoring of industrial assembly tasks
NL-EDIT: Correcting semantic parse errors through natural language interaction
Designing an offline reinforcement learning objective from scratch
From Extraction to Synthesis: Entangled Heuristics for Agent-Augmented Strategic Reasoning
Filled Julia sets with empty interior are computable
Deep CLAS: Deep Contextual Listen, Attend and Spell
Oberwolfach report : Discretization of Hilbert complexes
VisCodex: Unified Multimodal Code Generation via Merging Vision and Coding Models
A Data Streaming Process Framework for Autonomous Driving By Edge
An Upper Limit of Decaying Rate with Respect to Frequency in Deep Neural Network
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging
Standardizing linguistic data: method and tools for annotating (pre-orthographic) French
Open Access Battle Damage Detection via Pixel-Wise T-Test on Sentinel-1 Imagery
DataLens: Enhancing Dataset Discovery via Network Topologies
Correction of Channel Sounding Clock Drift and Antenna Rotation Effects for mmWave Angular Profile Measurements
Personal Data Gentrification
Let Watermarks Speak: A Robust and Unforgeable Watermark for Language Models
Latent Convergence Modulation in Large Language Models: A Novel Approach to Iterative Contextual Realignment
Building secure distributed applications the DECENT way
Blindfolded Experts Generalize Better: Insights from Robotic Manipulation and Videogames
Better Slow than Sorry: Introducing Positive Friction for Reliable Dialogue Systems
Improved Reinforcement Learning with Curriculum
BC-MRI-SEG: A Breast Cancer MRI Tumor Segmentation Benchmark
Research on Foundation Model for Spatial Data Intelligence: China's 2024 White Paper on Strategic Development of Spatial Data Intelligence
Exploiting Rich Syntax for Better Knowledge Base Question Answering
BMPQ: Bit-Gradient Sensitivity Driven Mixed-Precision Quantization of DNNs from Scratch
Optimization-based Block Coordinate Gradient Coding for Mitigating Partial Stragglers in Distributed Learning
Reworking geometric morphometrics into a methodology of transformation grids
Lightweight ML-Based Air Quality Prediction for IoT and Embedded Applications
A Precise Performance Analysis of the Randomized Singular Value Decomposition
Anomalous sound detection based on interpolation deep neural network
Multi-step Knowledge Retrieval and Inference over Unstructured Data
Assessing Hidden Risks of LLMs: An Empirical Study on Robustness, Consistency, and Credibility
Enumeration of max-pooling responses with generalized permutohedra
Convex Optimization for Parallel Energy Minimization
Upper-bounding ℓ 1 -optimization weak thresholds
Quantifying and Visualizing Attribute Interactions
Sustainability concepts for digital research infrastructures developed through ground-level stakeholder empowerment
NeSyPack: A Neuro-Symbolic Framework for Bimanual Logistics Packing
Scheherazade: Evaluating Chain-of-Thought Math Reasoning in LLMs with Chain-of-Problems
Proconda - Protected Control Data
A Risk-taking Broker Model to Optimise User Requests placement on On-demand and Contract VMs
Low-activity supervised convolutional spiking neural networks applied to speech commands recognition
Inequalities related to some types of entropies and divergences
Learning Semantic Traversability with Egocentric Video and Automated Annotation Strategy
Disc-Cover Complexity Trends in Music Illustrations from Sinatra to Swift
A composable language for action models
Benchmarking Frameworks and Comparative Studies of Controller Area Network (CAN) Intrusion Detection Systems: A Review
Improvement and Enhancement of YOLOv5 Small Target Recognition Based on Multi-module Optimization
Development of a Chemistry Dynamic Load Balancing Solver with Sparse Analytical Jacobian Approach for Rapid and Accurate Reactive Flow Simulations
Physics-Informed Multi-LSTM Networks for Metamodeling of Nonlinear Structures
A Distributional Representation Model For Collaborative Filtering
Decentralized Policy-Based Private Analytics
Evaluating Vision-Language Models on Bistable Images
Image Captioning for Effective Use of Language Models in Knowledge-Based Visual Question Answering
A priori and a posteriori error identities for the scalar Signorini problem
On the (Un-)Avoidability of Adversarial Examples
Static Analysis for Biological Systems (BioAmbients)
Safe and Resilient Multi-vehicle Trajectory Planning Under Adversarial Intruder
Daunce: Data Attribution through Uncertainty Estimation