yusuke1997/dblp-id-title huggingface dataset:
SVM-BetaPred: Prediction of Right-Handed ß-Helix Fold from Protein Sequence Using SVM
Human Brain Anatomical Connectivity Analysis Using Sequential Sampling and Resampling
Towards 3D Modeling of Interacting TM Helix Pairs Based on Classification of Helix Pair Sequence
Application of the Burrows-Wheeler Transform for Searching for Approximate Tandem Repeats
An Efficient Convex Nonnegative Network Component Analysis for Gene Regulatory Network Reconstruction
Efficient Optimal Multi-level Thresholding for Biofilm Image Segmentation
A Local Structural Prediction Algorithm for RNA Triple Helix Structure
An Open Framework for Extensible Multi-stage Bioinformatics Software
Feature Selection and Classification for Small Gene Sets
A New Maximum-Relevance Criterion for Significant Gene Selection
DFS Based Partial Pathways in GA for Protein Structure Prediction
Machine Learning Prediction of Amino Acid Patterns in Protein N-myristoylation
Prediction of Protein Subcellular Localizations Using Moment Descriptors and Support Vector Machine
Combining Protein Fragment Feature-Based Resampling and Local Optimisation
A Two-Phase ANN Method for Genome-Wide Detection of Hormone Response Elements
Polynomial Supertree Methods Revisited
Gene Selection in Time-Series Gene Expression Data
Evidence-Based Clustering of Reads and Taxonomic Analysis of Metagenomic Data
SFFS-SW: A Feature Selection Algorithm Exploring the Small-World Properties of GNs
Counting Patterns in Degenerated Sequences
Intelligent Extraction Versus Advanced Query: Recognize Transcription Factors from Databases
Discovery of Non-induced Patterns from Sequences
Mutational Genomics for Cancer Pathway Discovery
An Algorithm to Assemble Gene-Protein-Reaction Associations for Genome-Scale Metabolic Model Reconstruction
Constraint Minimization for Efficient Modeling of Gene Regulatory Network
Estimating the Class Posterior Probabilities in Protein Secondary Structure Prediction
Integrating Gene Expression Data from Microarrays Using the Self-Organising Map and the Gene Ontology
A Multiobjective Evolutionary Algorithm for Numerical Parameter Space Characterization of Reaction Diffusion Systems
A Maximum-Likelihood Formulation and EM Algorithm for the Protein Multiple Alignment Problem
Employing Publically Available Biological Expert Knowledge from Protein-Protein Interaction Information
Using Efficient RBF Network to Identify Interface Residues Based on PSSM Profiles and Biochemical Properties
An Expert Knowledge-Guided Mutation Operator for Genome-Wide Genetic Analysis Using Genetic Programming
Fast SCOP Classification of Structural Class and Fold Using Secondary Structure Mining in Distance Matrix
A Profile HMM for Recognition of Hormone Response Elements
Structured Output Prediction of Anti-cancer Drug Activity
The Complexity and Application of Syntactic Pattern Recognition Using Finite Inductive Strings
Enhancing Graph Database Indexing by Suffix Tree Structure
Order Preserving Clustering by Finding Frequent Orders in Gene Expression Data
Aligning Discovered Patterns from Protein Family Sequences
Exploiting Fine-Grained Parallelism in the Phylogenetic Likelihood Function with MPI, Pthreads, and OpenMP: A Performance Study
Pattern Recognition for Subfamily Level Classification of GPCRs Using Motif Distillation and Distinguishing Power Evaluation
Dynamic Outlier Exclusion Training Algorithm for Sequence Based Predictions in Proteins Using Neural Network
A Framework of Gene Subset Selection Using Multiobjective Evolutionary Algorithm
Pattern Recognition in Bioinformatics - 6th IAPR International Conference, PRIB 2011, Delft, The Netherlands, November 2-4, 2011. Proceedings
Conditional Random Fields for Protein Function Prediction
Active Learning for Protein Function Prediction in Protein-Protein Interaction Networks
Drugs and Drug-Like Compounds: Discriminating Approved Pharmaceuticals from Screening-Library Compounds
Semi-supervised Prediction of Protein Interaction Sentences Exploiting Semantically Encoded Metrics
Renal Cancer Cell Classification Using Generative Embeddings and Information Theoretic Kernels
Biases of Drug-Target Interaction Network Data
Classification of Protein Interaction Sentences via Gaussian Processes
Protein Fold Recognition Based Upon the Amino Acid Occurrence
A Novel Machine Learning Approach for Detecting the Brain Abnormalities from MRI Structural Images
Pattern Recognition in Bioinformatics - 9th IAPR International Conference, PRIB 2014, Stockholm, Sweden, August 21-23, 2014. Proceedings
3D Automated Nuclear Morphometric Analysis Using Active Meshes
MProfiler: A Profile-Based Method for DNA Motif Discovery
Using Multi-scale Glide Zoom Window Feature Extraction Approach to Predict Protein Homo-oligomer Types
Principal Component Analysis for Bacterial Proteomic Analysis
Using Permutation Patterns for Content-Based Phylogeny
A Pattern Classification Approach to DNA Microarray Image Segmentation
Evolutionary Algorithm Based on New Crossover for the Biclustering of Gene Expression Data
Pattern Recognition in Bioinformatics, Second IAPR International Workshop, PRIB 2007, Singapore, October 1-2, 2007, Proceedings
Inferring the Association Network from p53 Sequence Alignment Using Granular Evaluations
Optimization Algorithms for Identification and Genotyping of Copy Number Polymorphisms in Human Populations
c-GAMMA: Comparative Genome Analysis of Molecular Markers
Hybridization of Independent Component Analysis, Rough Sets, and Multi-Objective Evolutionary Algorithms for Classificatory Decomposition of Cortical Evoked Potentials
Integration of Epigenetic Data in Bayesian Network Modeling of Gene Regulatory Network
Avoiding Spurious Feedback Loops in the Reconstruction of Gene Regulatory Networks with Dynamic Bayesian Networks
Automatic Localization of Interest Points in Zebrafish Images with Tree-Based Methods
Semi-Supervised Graph Embedding Scheme with Active Learning (SSGEAL): Classifying High Dimensional Biomedical Data
Machine Learning Study of DNA Binding by Transcription Factors from the LacI Family
Using Predictive Models to Engineer Biology: A Case Study in Codon Optimization
Exploring Homology Using the Concept of Three-State Entropy Vector
Representation of Protein Secondary Structure Using Bond-Orientational Order Parameters
A Genetic Algorithm for Scale-Based Translocon Simulation
Enhancing Protein Fold Prediction Accuracy Using Evolutionary and Structural Features
A Framework for Path Analysis in Gene Regulatory Networks
Class Dependent Feature Weighting and K-Nearest Neighbor Classification
Predicting Secondary Structure of All-Helical Proteins Using Hidden Markov Support Vector Machines
Simultaneous Sample and Gene Selection Using T-score and Approximate Support Vectors
Quantification of Cytoskeletal Protein Localization from High-Content Images
Correlation-Based Relevancy and Redundancy Measures for Efficient Gene Selection
A Comparison on Score Spaces for Expression Microarray Data Classification
Biclustering of Expression Microarray Data Using Affinity Propagation
Ant-MST: An Ant-Based Minimum Spanning Tree for Gene Expression Data Clustering
Pattern Recognition in Bioinformatics, 4th IAPR International Conference, PRIB 2009, Sheffield, UK, September 7-9, 2009. Proceedings
Highlighting Metabolic Strategies Using Network Analysis over Strain Optimization Results
Generalized Schemata Theorem Incorporating Twin Removal for Protein Structure Prediction
Definition of Valid Proteomic Biomarkers: A Bayesian Solution
Prediction of Protein Beta-Sheets: Dynamic Programming versus Grammatical Approach
Novel Machine Learning Methods for MHC Class I Binding Prediction
Local Topological Signatures for Network-Based Prediction of Biological Function
A Clustering Based Hybrid System for Mass Spectrometry Data Analysis
An On/Off Lattice Approach to Protein Structure Prediction from Contact Maps
Multi-relational Data Mining for Tetratricopeptide Repeats (TPR)-Like Superfamily Members in Leishmania spp.: Acting-by-Connecting Proteins
A Two-Way Bayesian Mixture Model for Clustering in Metagenomics
Pattern Recognition in Bioinformatics, International Workshop, PRIB 2006, Hong Kong, China, August 20, 2006, Proceedings
Microarray Design Using the Hilbert-Schmidt Independence Criterion
New Gene Subset Selection Approaches Based on Linear Separating Genes and Gene-Pairs
Transcriptional Gene Regulatory Network Reconstruction Through Cross Platform Gene Network Fusion
Pseudoknot Identification through Learning TAGRNA
Flow-Based Bayesian Estimation of Nonlinear Differential Equations for Modeling Biological Networks
Pattern Recognition in Bioinformatics, Third IAPR International Conference, PRIB 2008, Melbourne, Australia, October 15-17, 2008. Proceedings
Weighted Top Score Pair Method for Gene Selection and Classification
Evolutionary Parameters in Sequence Families
Supervised Selective Kernel Fusion for Membrane Protein Prediction
Predicting Therapeutic Targets with Integration of Heterogeneous Data Sources
TopEVM: Using Co-occurrence and Topology Patterns of Enzymes in Metabolic Networks to Construct Phylogenetic Trees
Outlier Gene Set Analysis Combined with Top Scoring Pair Provides Robust Biomarkers of Pathway Activity
Flux Measurement Selection in Metabolic Networks
Classification of CT Brain Images of Head Trauma
Robust Community Detection Methods with Resolution Parameter for Complex Detection in Protein Protein Interaction Networks
Identifying Informative Genes for Prediction of Breast Cancer Subtypes
Prediction of Transcription Factor Families Using DNA Sequence Features
SLiMSearch: A Webserver for Finding Novel Occurrences of Short Linear Motifs in Proteins, Incorporating Sequence Context
Estimation of Evolutionary Average Hydrophobicity Profile from a Family of Protein Sequences
Enhancing the Effectiveness of Fingerprint-Based Virtual Screening: Use of Turbo Similarity Searching and of Fragment Frequencies of Occurrence
High Performance Classification of Two Imagery Tasks in the Cue-Based Brain Computer Interface
Restricted Neighborhood Search Clustering Revisited: An Evolutionary Computation Perspective
Exploiting Long-Range Dependencies in Protein beta -Sheet Secondary Structure Prediction
Sequence Based Prediction of Protein Mutant Stability and Discrimination of Thermophilic Proteins
Massively Parallelized DNA Motif Search on the Reconfigurable Hardware Platform COPACOBANA
CUDAGRN: Parallel Speedup of Inferring Large Gene Regulatory Networks from Expression Data Using Random Forest
Gene Ontology Assisted Exploratory Microarray Clustering and Its Application to Cancer
Exploring Potential Discriminatory Information Embedded in PSSM to Enhance Protein Structural Class Prediction Accuracy
Machine Learning Scoring Functions Based on Random Forest and Support Vector Regression
Fast Computation of Entropic Profiles for the Detection of Conservation in Genomes
Recursive Neural Networks for Undirected Graphs for Learning Molecular Endpoints
Reconstruction of Protein-Protein Interaction Pathways by Mining Subject-Verb-Objects Intermediates
Inferring Meta-covariates in Classification
Dividing Protein Interaction Networks by Growing Orthologous Articulations
Di-codon Usage for Gene Classification
Diagnose the Premalignant Pancreatic Cancer Using High Dimensional Linear Machine
Multi-task Drug Bioactivity Classification with Graph Labeling Ensembles
Biologically-aware Latent Dirichlet Allocation (BaLDA) for the Classification of Expression Microarray
A New Framework for Co-clustering of Gene Expression Data
Rough Sets and Fuzzy Sets Theory Applied to the Sequential Medical Diagnosis
Alpha Helix Prediction Based on Evolutionary Computation
Metabolic Pathway Inference from Time Series Data: A Non Iterative Approach
Pareto-Gamma Statistic Reveals Global Rescaling in Transcriptomes of Low and High Aggressive Breast Cancer Phenotypes
Automated Methods of Predicting the Function of Biological Sequences Using GO and Rough Set
Cascading Discriminant and Generative Models for Protein Secondary Structure Prediction
Comparative Gene Prediction Based on Gene Structure Conservation
Short Segment Frequency Equalization: A Simple and Effective Alternative Treatment of Background Models in Motif Discovery
Evaluation of the Stability of Folding Nucleus upon Mutation
Knowledge-Guided Docking of WW Domain Proteins and Flexible Ligands
Lagrangian Relaxation Applied to Sparse Global Network Alignment
Multiple Tree Alignment with Weights Applied to Carbohydrates to Extract Binding Recognition Patterns
Understanding Prediction Systems for HLA-Binding Peptides and T-Cell Epitope Identification
Cross-Platform Analysis with Binarized Gene Expression Data
Ensemble Logistic Regression for Feature Selection
The Immune Epitope Database and Analysis Resource
Pattern Recognition in Bioinformatics - 7th IAPR International Conference, PRIB 2012, Tokyo, Japan, November 8-10, 2012. Proceedings
Joint Loop End Modeling Improves Covariance Model Based Non-coding RNA Gene Search
Comparative Analysis of a Hierarchical Bayesian Method for Quantitative Trait Loci Analysis for the Arabidopsis Thaliana
Incremental Maintenance of Biological Databases Using Association Rule Mining
A Survey of Un-, Weakly-, and Semi-Supervised Learning Methods for Noisy, Missing and Partial Labels in Industrial Vision Applications
DeepBINN: A tailored biologically-informed neural network for robust biomarker identification
SecBox: a Lightweight Data Mining Platform for Dynamic and Reproducible Malware Analysis
Mapping and Mitigating the Pains of Responsible Artificial Intelligence Implementation: An Analysis of Swiss Organizations
A Reliable Approach for Pixel-Level Classification of Land usage from Spatio-Temporal Images
High Precision Agriculture: An Application Of Improved Machine-Learning Algorithms
CNN factored sEMG based Limb Angle Prediction on the Edge - Advancing Model Predictive Control of Robotic Rehabilitative Systems
Constrained Zero-Shot Neural Architecture Search on Small Classification Dataset
Detection of Foreign Objects in Compost Fertilizer
Stress Pattern Recognition Through Wearable Biosensors in the Workplace: Experimental Longitudinal Study on the Role of Motion Intensity
Topic-level Sentiment Analysis for User Reviews in Gasoline Subsidy Application
Securing Rag: A Risk Assessment and Mitigation Framework
Reception - A Deep Learning Based Hybrid Residual Network
TWITCHCOMM: A Community-Based Recommender System for Twitch Users
Towards Sustainable AI: Evaluating Efficiency of LLMs for Coding of Diagnoses from Veterinary Health Records
11th IEEE Swiss Conference on Data Science, SDS 2024, Zurich, Switzerland, May 30-31, 2024
A Systematic Approach to Group Fairness in Automated Decision Making
9th Swiss Conference on Data Science, SDS 2022, Lucerne, Switzerland, June 22-23, 2022
8th Swiss Conference on Data Science, SDS 2021, Lucerne, Switzerland, June 9, 2021
Leveraging Pre-Trained Extreme Multi-Label Classifiers for Zero-Shot Learning
Identification of the Most Frequently Asked Questions in Financial Analyst Reports to Automate Equity Research Using Llama 3 and GPT-4
Comparative Deep Learning Architectures to Detect Tiny Features in Ophthalmic Imaging
Mitigating Discriminatory Biases in Success Prediction Models for Venture Capitals
A Comparative Assessment and Synthesis of Twenty Ethics Codes on AI and Big Data
Exploration of Scenario-based Simulations for Stress Benchmarking in Swiss Public Service
Setfit for Automated Essay Scoring: Extending Longformer to a Sentence Transformer
How to Optimize Gower Distance Weights for the k-Medoids Clustering Algorithm to Obtain Mobility Profiles of the Swiss Population
Towards an Ethical Code for Data-Based Business
Predicting Housing Market Trends Using Twitter Data
GraphEDM: A Graph-Based Approach to Disambiguate Entities in Microposts
Adaptation of MobileNetV2 for Face Detection on Ultra-Low Power Platform
Entity Matching on Unstructured Data: An Active Learning Approach
Automated process monitoring in injection molding via representation learning and setpoint regression
DARE2HACK: Crowdsourcing ideas through hackathons to codesign new human-centric services
Polynomial Regression Hyperparameter Selection and Analysis using Reconstruction Error Minimization (REM)
Leveraging Complementary AI Explanations to Mitigate Misunderstanding in XAI
Algorithmic Trading Using Technical Indicators and eXtereme Gradient Boosting
Reimagining Enterprise Data Management using Generative Artificial Intelligence
Lightweight Stochastic Configuration Networks
The Power of Session-Level Data: Predicting Return Intent Along the Browsing Journey
Semantic or Instance Segmentation? A Dental Imaging Perspective
Towards the Certification of AI-based Systems
Mining and Forecasting Energy Consumption Based on Weather Data
Automated Smartification of Notices to Airmen
LoRaLoc: Machine Learning-Based Fingerprinting for Outdoor Geolocation using LoRa
Resilient Combination of Complementary CNN and RNN Features for Text Classification through Attention and Ensembling
Can LLMs be Trusted for Evaluating RAG Systems? A Survey of Methods and Datasets
Big Data Framing About Media Coverage in Switzerland and the USA
Secured UAV Navigation: A Novel Intrusion Detection System Based on PWM Signal Analysis
Unsupervised Anomaly Detection for Seasonal Time Series
MT4UML: Metamorphic Testing for Unsupervised Machine Learning
Annotating Web Tables through Knowledge Bases: A Context-Based Approach
Machine Learning for Position Detection in Football
GAMLNet: a graph based framework for the detection of money laundering
Forecasting is all we need: Adapting graph neural network methods for a peer-to-peer sharing economy platform
IEEE Swiss Conference on Data Science, SDS 2025, Zürich, Switzerland, June 26-27, 2025
VoucherGPT: A Novel Approach for Personal Email Voucher Management Using Large Language Models
Predictive Modeling for Optimization of Field Operations in Bike-Sharing Systems
10th IEEE Swiss Conference on Data Science, SDS 2023, Zurich, Switzerland, June 22-23, 2023
Estimating Parcel Delivery Day via Quantile Regression
CIML-R: Causally Informed Machine Learning Based on Feature Relevance
Physics-Informed Machine Learning for Predictive Maintenance: Applied Use-Cases
XGBoost Trained on Synthetic Data to Extract Material Parameters of Organic Semiconductors
Extracting Decision Paths via Surrogate Modeling for Explainability of Black Box Classifiers
Improving Sample Efficiency and Multi-Agent Communication in RL-based Train Rescheduling
ReGeo: A Direct Regression Approach for Global Image Geo-Localization
Towards Reproducible Research of Event Detection Techniques for Twitter
Towards enhancing trustworthy data accessibility in the crop commodity sector with LLMs
CAwa-NeRF: Instant Learning of Compression-Aware NeRF Features
Predicting Survey Response with Quotation-based Modeling: A Case Study on Favorability towards the United States
PHom-GeM: Persistent Homology for Generative Models
Survey of Artificial Intelligence for Card Games and Its Application to the Swiss Game Jass
Biased Binary Attribute Classifiers Ignore the Majority Classes
Intelligent Branding for Less Well-Known Enterprises by Matching Culture Values of Employers and Candidates
Avalanche Risks in the Swiss Mountains
Corporate Culture Explained by Mission and Vision Statements Using Natural Language Processing
Evaluating Fine-Tuned Small Language Models for ICD-10 Diagnosis Coding
APCNN: Tackling Class Imbalance in Relation Extraction through Aggregated Piecewise Convolutional Neural Networks
Hounsfield Unit Ranges as Inductive Bias for Intra-Clinical Learning of Data-Efficient CT Segmentation Models
Framework for Algorithmic Bias Quantification and its Application to Automated Sleep Scoring
Meta-Replay with Adaptive Feature Fusion: A Scalable, Memory-Efficient Framework for Continual Learning
Group Fairness Refocused: Assessing the Social Impact of ML Systems
Towards Crafting Beer with Artificial Intelligence
Exploring owner-based brand personality on Facebook and LinkedIn with Natural-Language-Processing (NLP)
7th Swiss Conference on Data Science, SDS 2020, Luzern, Switzerland, June 26, 2020
Assessing polarisation in brand-related comments on three Swiss online media portals with Natural Language Processing
Bootstrapping Text-to-SQL Resources for Knowledge Graph Question Answering
CFD-Based Discharge Curves for Alpine Springs
Efficient Blind-Spot Neural Network Architecture for Image Denoising
Fine-Tuning Languages: Epistemological Foundations for Ethical AI in Journalism
A Machine Learning Technique to Classify LSST Observed Astronomical Objects Based on Photometric Data
Blindness (Diabetic Retinopathy) Severity Scale Detection
Data Resources to Create Digital Twins
Improving Reproducible Deep Learning Workflows with DeepDIVA
Minimal Hand Pose Estimation for Touchable Projector-Depth Systems
Analyzing non-linear network effects in the European interbank market
Data-driven Decision Support by Digital Twins in Manufacturing
Optimal Pricing of Configurable Products using Machine Learning
A Deep Discriminant Fractional-order Canonical Correlation Analysis For Information Fusion
Smart Meter Modbus RS-485 Spoofing Attack Detection by LSTM Deep Learning Approach
Supercharging Document Composition with Generative AI: A Secure, Custom Retrieval-Augmented Generation Approach
Applying Predictive Analytics to Climate Change: Predicting Temperature Rise Using Human Behavior Alternative Data
6th Swiss Conference on Data Science, SDS 2019, Bern, Switzerland, June 14, 2019
Mastering Fencing Techniques with Machine Learning: A Video-Based Classification and Correction System
Explainable Stress Detection for VR Telerehabilitation: A Decision Support System Using SHAP-Based Feature Relevance
Neural Entity Linking on Technical Service Tickets
So you want your private LLM at home? A survey and benchmark of methods for efficient GPTs
Assessing the democratic legitimacy of public decisions based on Machine Learning algorithms
Cleaning Semi-Structured Errors in Open Data Using Large Language Models
A Graph-Representation-Learning Framework for Supporting Android Malware Identification and Polymorphic Evolution
Fully Unsupervised Anomaly Detection in Industrial Images with Unknown Data Contamination
Leak Detection using Random Forest and Pressure Simulation
digital shadow of customers in the manufacturing industry
Interventional and Counterfactual Inference with Autoregressive Flow Models
Efficient and Reproducible Biomedical Question Answering Using Retrieval Augmented Generation
Syntax-Based Skill Extractor for Job Advertisements
Service Customization: Optimizing Value Creation and Capture by Designing the Customer Journey
Cobra: A CLI Tool To Create And Share Reproducible Projects
Automated Extraction of IoT Critical Objects from IoT Storylines, Requirements and User Stories via NLP
Triangulated Sentiment Analysis of Tweets for Social CRM
Group Fairness in Prediction-Based Decision Making: From Moral Assessment to Implementation
How to Label? Combining Experts' Knowledge for German Text Classification
Unsupervised Network Anomaly Detection by Learning on 2D Data Representations
Measuring semantic polarisation of four Swiss media brands with topic modelling
On the Value of Data: Multi-Objective Maximization of Value Creation in Data-Driven Industrial Services
Uncertainty with deep learning: a practical view on out of distribution detection
ScalaGrad: A Statically Typed Automatic Differentiation Library for Safer Data Science
Data Collection and Exploratory Analysis for Cyber Threat Intelligence Machine Learning Processes
Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising
Generating Energy Consumption Profiles Using Diffusion Models
Citation Recognition in Large-Scale Legal Platforms Using Transformer Models
Brain Ages Derived from Different MRI Modalities are Associated with Distinct Biological Phenotypes
Beyond the Hype: An Empirical Assessment of LLMs and Traditional ML for Code Vulnerability Detection
MLOps as Enabler of Trustworthy AI
Tabular Data Insights and Synthesis with the AutoTable Approach
Deep Learning for Recognizing Bat Species and Bat Behavior in Audio Recordings
Learning Actionable World Models for Industrial Process Control