Lior Rokach

Q: What Schools Are Affiliated With Lior Rokach

Lior Rokach is affiliated with the following schools: Tel Aviv University, Ben-Gurion University of the Negev

Lior Rokach's AcademicInfluence.com Rankings

Lior Rokach

Computer Science

#3800

World Rank

#3995

Historical Rank

Data Mining

#46

World Rank

#46

Historical Rank

Machine Learning

#547

World Rank

#554

Historical Rank

Database

#1077

World Rank

#1133

Historical Rank

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Computer Science

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Lior Rokach's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Data Mining And Knowledge Discovery Handbook (2005) (2803)
Introduction to Recommender Systems Handbook (2011) (2334)
Ensemble-based classifiers (2010) (2230)
Ensemble learning: A survey (2018) (1124)
Clustering Methods (2005) (834)
Top-down induction of decision trees classifiers - a survey (2005) (758)
Recommender Systems: Introduction and Challenges (2015) (708)
Data Mining with Decision Trees - Theory and Applications (2007) (603)
Data Mining and Knowledge Discovery Handbook, 2nd ed (2010) (289)
Pattern Classification Using Ensemble Methods (2009) (268)
Decision forest: Twenty years of research (2016) (246)
An Introduction to Decision Trees (2007) (242)
Taxonomy for characterizing ensemble methods in classification tasks: A review and annotated bibliography (2009) (229)
A Survey of Data Leakage Detection and Prevention Solutions (2012) (202)
Link Prediction in Social Networks Using Computationally Efficient Topological Features (2011) (189)
Mobile malware detection through analysis of deviations in application network behavior (2014) (165)
Data Mining with Decision Trees - Theory and Applications. 2nd Edition (2014) (161)
Generic Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers (2017) (155)
Facebook single and cross domain data for recommendation systems (2013) (146)
Improving malware detection by applying multi-inducer ensemble (2009) (144)
A survey of Clustering Algorithms (2010) (139)
Recommending citations: translating papers into references (2012) (135)
User identity verification via mouse dynamics (2012) (134)
Efficient Multidimensional Suppression for K-Anonymity (2010) (126)
A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities (2020) (123)
Dynamic Malware Analysis in the Modern Era—A State of the Art Survey (2019) (122)
Survey on Collaborative Filtering, Content-based Filtering and Hybrid Recommendation System (2015) (121)
Introduction to Knowledge Discovery and Data Mining (2010) (111)
Detection of unknown computer worms based on behavioral classification of the host (2008) (111)
Privacy-preserving data mining: A feature set partitioning approach (2010) (106)
Genetic algorithm-based feature set partitioning for classification problems (2008) (102)
Unknown malware detection using network traffic classification (2015) (101)
Novel active learning methods for enhanced PC malware detection in windows OS (2014) (101)
Introduction to Information Security (2012) (100)
Towards latent context-aware recommendation systems (2016) (96)
RecSys Challenge 2015 and the YOOCHOOSE Dataset (2015) (96)
Understanding topics and sentiment in an online cancer survivor community. (2013) (95)
Ensemble Methods for Classifiers (2005) (95)
Ensemble methods for multi-label classification (2013) (94)
Fast-CBUS: A fast clustering-based undersampling method for addressing the class imbalance problem (2017) (94)
Entity Matching in Online Social Networks (2013) (90)
Troika - An improved stacking schema for classification tasks (2009) (90)
Computationally efficient link prediction in a variety of social networks (2013) (87)
Negation recognition in medical narrative reports (2008) (85)
TALMUD: transfer learning for multiple domains (2012) (85)
Identity theft, computers and behavioral biometrics (2009) (84)
Data Mining for Improving the Quality of Manufacturing: A Feature Set Decomposition Approach (2006) (84)
Decomposition Methodology for Knowledge Discovery and Data Mining - Theory and Applications (2005) (82)
Soft Computing for Knowledge Discovery and Data Mining (2007) (81)
Mal-ID: Automatic Malware Detection Using Common Segment Analysis and Meta-Features (2012) (80)
Recommender System from Personal Social Networks (2007) (74)
CaSTLe – Classification of single cells by transfer learning: Harnessing the power of publicly available single cell RNA sequencing experiments to annotate new experiments (2018) (73)
Decomposition Methodology for Knowledge Discovery and Data Mining (2005) (72)
HoneyGen: An automated honeytokens generator (2011) (72)
Explainable decision forest: Transforming a decision forest into an interpretable tree (2020) (70)
Detecting unknown computer worm activity via support vector machines and active learning (2012) (67)
Decision-tree instance-space decomposition with grouped gain-ratio (2007) (67)
Using the confusion matrix for improving ensemble classifiers (2010) (65)
Decomposition methodology for classification tasks: a meta decomposer framework (2006) (65)
Explaining Anomalies Detected by Autoencoders Using SHAP (2019) (64)
Context-Sensitive Medical Information Retrieval (2004) (63)
Improving Simple Collaborative Filtering Models Using Ensemble Methods (2013) (59)
Predicting Student Exam's Scores by Analyzing Social Network Data (2012) (58)
Approximating XGBoost with an interpretable decision tree (2021) (57)
SherLock vs Moriarty: A Smartphone Dataset for Cybersecurity Research (2016) (57)
Random Projection Ensemble Classifiers (2009) (55)
SFEM: Structural feature extraction methodology for the detection of malicious office documents using machine learning methods (2016) (53)
A GIS-based decision support system for hotel room rate estimation and temporal price prediction: The hotel brokers' context (2013) (53)
Improving Supervised Learning by Feature Decomposition (2002) (53)
A Novel Approach to Mining Travel Sequences Using Collections of Geotagged Photos (2010) (51)
Generic Black-Box End-to-End Attack against RNNs and Other API Calls Based Malware Classifiers (2017) (51)
A Survey of Feature Selection Techniques (2009) (50)
Recommender Systems for Product Bundling (2016) (49)
Proactive Data Mining with Decision Trees (2014) (49)
Continuous Verification Using Keystroke Dynamics (2010) (49)
Limiting disclosure of sensitive data in sequential releases of databases (2012) (47)
Safety and efficacy of the BNT162b mRNA COVID-19 vaccine in patients with chronic lymphocytic leukemia (2021) (47)
Explaining anomalies detected by autoencoders using Shapley Additive Explanations (2021) (47)
Feature set decomposition for decision trees (2005) (45)
M-Score: A Misuseability Weight Measure (2012) (44)
Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures (2019) (44)
Space Decomposition in Data Mining: A Clustering Approach (2002) (43)
Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain (2021) (43)
Ensemble methods for improving the performance of neighborhood-based collaborative filtering (2009) (41)
Collective-agreement-based pruning of ensembles (2009) (41)
Introduction to Knowledge Discovery in Databases (2005) (40)
Information Retrieval System for Medical Narrative Reports (2004) (39)
Mining manufacturing data using genetic algorithm-based feature set decomposition (2008) (39)
Taxonomy of mobile users' security awareness (2018) (39)
Unsupervised Commonsense Knowledge Enrichment for Domain-Specific Sentiment Analysis (2016) (39)
Personal price aware multi-seller recommender system: Evidence from eBay (2018) (37)
The CASH algorithm-cost-sensitive attribute selection using histograms (2013) (36)
ALDROID: efficient update of Android anti-virus software using designated active learning methods (2016) (36)
Data mining by attribute decomposition with semiconductor manufacturing case study (2001) (35)
Combining one-class classifiers via meta learning (2011) (35)
Data mining opportunities in geosocial networks for improving road safety (2012) (35)
Session-Based Recommendations Using Item Embedding (2017) (35)
Clustering di-graphs for continuously verifying users according to their typing patterns (2010) (33)
Sensor fault detection and diagnosis for autonomous systems (2013) (33)
Matching entities across online social networks (2014) (33)
Using Wikipedia to boost collaborative filtering techniques (2011) (33)
Defense Methods Against Adversarial Examples for Recurrent Neural Networks (2019) (33)
Reaching a joint decision with minimal elicitation of voter preferences (2014) (32)
Exploiting label dependencies for improved sample complexity (2013) (32)
Classifier evaluation under limited resources (2006) (32)
Selective Voting - Getting More for Less in Sensor Fusion (2006) (32)
A figure search engine architecture for a chemistry digital library (2013) (31)
Query-Efficient Black-Box Attack Against Sequence-Based Malware Classifiers (2018) (31)
A Decision Tree Based Recommender System (2010) (31)
Initial Profile Generation in Recommender Systems Using Pairwise Comparison (2012) (28)
Decision Trees (2005) (28)
Improving Sentiment Analysis in an Online Cancer Survivor Community Using Dynamic Sentiment Lexicon (2013) (27)
Best Usage Context Prediction for Music Tracks (2010) (27)
User Authentication Based on Representative Users (2012) (27)
Theory and applications of attribute decomposition (2001) (27)
Dependency Tree-Based Rules for Concept-Level Aspect-Based Sentiment Analysis (2014) (27)
Choosing the Right Word: Using Bidirectional LSTM Tagger for Writing Support Systems (2019) (27)
Pessimistic cost-sensitive active learning of decision trees for profit maximizing targeting campaigns (2008) (26)
Detecting application update attack on mobile devices through network featur (2013) (26)
Mining manufacturing databases to discover the effect of operation sequence on the product quality (2008) (26)
Modeling Graph Database Schema (2017) (26)
A methodology for the design of a fuzzy data warehouse (2008) (24)
Ensemble Learning (2019) (24)
Detecting data misuse by applying context-based data linkage (2010) (24)
Identifying Attack Propagation Patterns in Honeypots Using Markov Chains Modeling and Complex Networks Analysis (2016) (23)
Improving Supervised Learning by Sample Decomposition (2005) (23)
OCCT: A One-Class Clustering Tree for Implementing One-to-Many Data Linkage (2014) (23)
A Stereotypes-Based Hybrid Recommender System for Media Items (2007) (23)
Fast Randomized Model Generation for Shapelet-Based Time Series Classification (2012) (23)
Predicting Refractive Surgery Outcome: Machine Learning Approach With Big Data. (2017) (22)
A Direct Learning Approach for Neural Network Based Pre-Distortion for Coherent Nonlinear Optical Transmitter (2020) (22)
Attribute-Driven Hidden Markov Model Trees for Intention Prediction (2012) (22)
Predict Demographic Information Using Word2vec on Spatial Trajectories (2018) (22)
Who is going to win the next Association for the Advancement of Artificial Intelligence Fellowship Award? Evaluating researchers by mining bibliographic data (2011) (22)
Meta-learning for Selecting a Multi-label Classification Algorithm (2011) (22)
Prediction of sperm extraction in non-obstructive azoospermia patients: a machine-learning perspective. (2020) (21)
M-score: estimating the potential damage of data leakage incident by assigning misuseability weight (2010) (21)
Anomaly detection for smartphone data streams (2017) (21)
A Machine-Learning Model for Automatic Detection of Movement Compensations in Stroke Patients (2020) (20)
Feature Selection by Combining Multiple Methods (2006) (20)
Inferring Contextual Preferences Using Deep Auto-Encoding (2017) (19)
Wikipedia-based query performance prediction (2014) (19)
Source Model Selection for Deep Learning in the Time Series Domain (2020) (19)
Auto-Sign: an automatic signature generator for high-speed malware filtering devices (2009) (19)
Clustering Wi-Fi fingerprints for indoor–outdoor detection (2019) (19)
Volatile memory analysis using the MinHash method for efficient and secured detection of malware in private cloud (2019) (19)
RecSys'16 Workshop on Deep Learning for Recommender Systems (DLRS) (2016) (19)
A Hybrid Approach for Automatic Model Recommendation (2018) (19)
"Please, Not Now!": A Model for Timing Recommendations (2015) (18)
A Methodology for Improving the Performance of Non-Ranker Feature Selection Filters (2007) (18)
pcStream: A Stream Clustering Algorithm for Dynamically Detecting and Managing Temporal Contexts (2015) (18)
DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering (2019) (18)
Ensemble Methods in Supervised Learning (2010) (18)
Antibody persistence 100 days following the second dose of BNT162b mRNA Covid19 vaccine in patients with chronic lymphocytic leukemia (2021) (18)
kACTUS 2: Privacy Preserving in Classification Tasks Using k-Anonymity (2009) (17)
AutoGRD: Model Recommendation Through Graphical Dataset Representation (2019) (17)
Fast and space-efficient shapelets-based time-series classification (2015) (16)
Utilizing transfer learning for in-domain collaborative filtering (2016) (16)
Scheduling Meetings by Agents (2008) (16)
Intruder or Welcome Friend: Inferring Group Membership in Online Social Networks (2013) (16)
Links Reconstruction Attack (2013) (16)
A hybrid approach for improving unsupervised fault detection for robotic systems (2017) (15)
Ensemble of Feature Chains for Anomaly Detection (2013) (15)
Behavioral Study of Users When Interacting with Active Honeytokens (2016) (15)
ConfDTree: Improving Decision Trees Using Confidence Intervals (2012) (15)
Poster: applying unsupervised context-based analysis for detecting unauthorized data disclosure (2011) (14)
Using Machine Learning to Predict Rehabilitation Outcomes in Post-acute Hip Fracture Patients. (2020) (14)
Classification Trees (2010) (14)
CHANGE DETECTION IN CLASSIFICATION MODELS INDUCED FROM TIME SERIES DATA (2004) (14)
MindDesktop - Computer Accessibility for Severely Handicapped (2011) (14)
Low Resource Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers (2018) (14)
Introduction to Supervised Methods (2005) (14)
tdGraphEmbed: Temporal Dynamic Graph-Level Embedding (2020) (14)
Reducing preference elicitation in group decision making (2016) (13)
Establishing User Profiles in the MediaScout Recommender System (2007) (13)
Preference Elicitation for Group Decisions Using the Borda Voting Rule (2015) (13)
Detection of Deviations in Mobile Applications Network Behavior (2012) (13)
An ensemble method for top-N recommendations from the SVD (2016) (12)
A hybrid approach for fault detection in autonomous physical agents (2014) (12)
Identifying Informational vs. Conversational Questions on Community Question Answering Archives (2018) (12)
A fast and scalable method for threat detection in large-scale DNS logs (2013) (12)
Comparison of state-of-the-art deep learning APIs for image multi-label classification using semantic metrics (2020) (11)
Preference elicitation for narrowing the recommended list for groups (2014) (11)
OPTICAL COHERENCE TOMOGRAPHY BIOMARKERS TO DISTINGUISH DIABETIC MACULAR EDEMA FROM PSEUDOPHAKIC CYSTOID MACULAR EDEMA USING MACHINE LEARNING ALGORITHMS. (2019) (11)
CyberRank: Knowledge Elicitation for Risk Assessment of Database Security (2016) (11)
AugBoost: Gradient Boosting Enhanced with Step-Wise Feature Augmentation (2019) (11)
Constraint learning based gradient boosting trees (2019) (11)
Leveraging the citation graph to recommend keywords (2013) (11)
Recommending insurance riders (2013) (11)
Wikiometrics: a Wikipedia based ranking system (2016) (11)
Automatic discovery of the root causes for quality drift in high dimensionality manufacturing processes (2012) (11)
Implicit Dimension Identification in User-Generated Text with LSTM Networks (2019) (11)
Analyzing movement predictability using human attributes and behavioral patterns (2021) (11)
Query-Efficient GAN Based Black-Box Attack Against Sequence Based Machine and Deep Learning Classifiers (2018) (11)
ICU Survival Prediction Incorporating Test-Time Augmentation to Improve the Accuracy of Ensemble-Based Models (2021) (11)
Methodology for Connecting Nouns to Their Modifying Adjectives (2014) (10)
ConfDTree: A Statistical Method for Improving Decision Trees (2014) (10)
Investigating confidence displays for top-N recommendations (2013) (9)
Deep Context-Aware Recommender System Utilizing Sequential Latent Context (2019) (9)
Proceedings of the 3rd Workshop on Deep Learning for Recommender Systems (2016) (9)
Highlighting items as means of adaptive assistance (2013) (9)
Chapter 1 Introduction to Recommender Systems Handbook (2010) (9)
Leveraging metadata to recommend keywords for academic papers (2016) (9)
Cyber security threats in the microbial genomics era: implications for public health (2020) (9)
Transfer Learning for Content-Based Recommender Systems Using Tree Matching (2013) (9)
Model-Based Diagnosis with Multi-Label Classification (2011) (8)
Adversarial Learning in the Cyber Security Domain (2020) (8)
Boosting Simple Collaborative Filtering Models Using Ensemble Methods (2012) (8)
Personal‐discount sensitivity prediction for mobile coupon conversion optimization (2017) (8)
Product Bundle Identification using Semi-Supervised Learning (2020) (8)
Isolation forests and landmarking-based representations for clustering algorithm recommendation using meta-learning (2021) (8)
Sec-Lib: Protecting Scholarly Digital Libraries From Infected Papers Using Active Machine Learning Framework (2019) (8)
Language Models with Pre-Trained (GloVe) Word Embeddings (2016) (8)
Anytime Algorithms for Recommendation Service Providers (2016) (8)
Linking Motif Sequences with Tale Types by Machine Learning (2013) (7)
Sniffing Bacteria with a Carbon-Dot Artificial Nose (2021) (7)
Mobile security and privacy: Advances, challenges and future research directions (2016) (7)
Recommender Systems: Techniques, Applications, and Challenges (2022) (7)
GEO-SPADE - A Generic Google Earth-based Framework for Analyzing and Exploring Spatio-temporal Data (2010) (7)
Data Leakage Detection/Prevention Solutions (2012) (7)
A framework for optimizing COVID-19 testing policy using a Multi Armed Bandit approach (2020) (7)
Neighborhood Evaluation in Recommender Systems Using the Realization Based Entropy Approach (2014) (7)
Dynamic Sensitivity-Based Access Control (2011) (7)
Inferring contextual preferences using deep encoder-decoder learners (2018) (7)
Contextual security awareness: A context-based approach for assessing the security awareness of users (2022) (7)
Data Mining using Decomposition Methods (2010) (7)
An evolutionary algorithm for constructing a decision forest: Combining the classification of disjoints decision trees (2008) (7)
PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction (2020) (6)
Machine-learning-based circuit synthesis (2012) (6)
Introduction to Soft Computing for Knowledge Discovery and Data Mining (2008) (6)
XML-AD: Detecting anomalous patterns in XML documents (2016) (6)
Recommenders benchmark framework (2011) (6)
Scalable attack propagation model and algorithms for honeypot systems (2016) (6)
Ensembles of classifiers based on dimensionality reduction (2013) (6)
New Item Consumption Prediction Using Deep Learning (2019) (6)
Fast Item-Based Collaborative Filtering (2015) (6)
Adapted Features and Instance Selection for Improving Co-training (2014) (6)
Survival Analysis of Automobile Components Using Mutually Exclusive Forests (2014) (6)
An Overview of IDS Using Anomaly Detection (2009) (6)
Application Marketplace Malware Detection by User Feedback Analysis (2017) (6)
Analyzing Group Communication for Preventing Accidental Data Leakage via Email (2010) (5)
An Exploration of Research Directions in Machine Ensemble Theory and Applications (2012) (5)
Scholarly Digital Libraries as a Platform for Malware Distribution (2017) (5)
Evolving Context-Aware Recommender Systems With Users in Mind (2020) (5)
Using Bandits for Effective Database Activity Monitoring (2020) (5)
RankML: a Meta Learning-Based Approach for Pre-Ranking Machine Learning Pipelines (2019) (5)
Optimizing Data Misuse Detection (2014) (5)
Correction: CaSTLe - Classification of single cells by transfer learning: Harnessing the power of publicly available single cell RNA sequencing experiments to annotate new experiments (2018) (5)
Theoretical Categorization of Query Performance Predictors (2015) (5)
A Taxonomy of Data Leakage Prevention Solutions (2012) (5)
Chapter 1 Links Reconstruction Attack Using Link Prediction Algorithms to Compromise Social Networks Privacy (2013) (5)
Contexto: lessons learned from mobile context inference (2014) (5)
Advanced Decision Trees (2007) (5)
Local-shapelets for fast classification of spectrographic measurements (2015) (5)
Securing keystroke dynamics from replay attacks (2019) (5)
Diversifying Database Activity Monitoring with Bandits (2019) (5)
Applying the Publication Power Approach to Artificial Intelligence Journals (2012) (5)
Sampling High Throughput Data for Anomaly Detection of Data-Base Activity (2017) (4)
Utilizing Sequences of Touch Gestures for User Verification on Mobile Devices (2018) (4)
Eliciting domain expert misuseability conceptions (2011) (4)
User Feedback Analysis for Mobile Malware Detection (2017) (4)
Automatic Discovery of Regular Expression Patterns Representing Negated Findings in Medical Narrative Reports (2006) (4)
Automatic selection of clustering algorithms using supervised graph embedding (2020) (4)
Keystroke dynamics obfuscation using key grouping (2020) (4)
Deepchecks: A Library for Testing and Validating Machine Learning Models and Data (2022) (4)
Virtual Breathalyzer (2016) (4)
Anytime AHP Method for Preferences Elicitation in Stereotype-Based Recommender System (2008) (4)
Securing Your Transactions: Detecting Anomalous Patterns In XML Documents (2012) (4)
Multi-Layered Model Based Diagnosis in Robots (2012) (4)
The Importance of Pronouns to Sentiment Analysis: Online Cancer Survivor Network Case Study (2015) (4)
A classifier to determine which Wikipedia biographies will be accepted (2015) (4)
Using geospatial metadata to boost collaborative filtering (2013) (4)
Probability-Based Algorithm for Bearing Diagnosis with Untrained Spall Sizes (2020) (4)
Pay Attention: Improving Classification of PE Malware Using Attention Mechanisms Based on System Call Analysis (2021) (4)
Crime Linkage Based on Textual Hebrew Police Reports Utilizing Behavioral Patterns (2020) (4)
Language Models with GloVe Word Embeddings (2016) (3)
Recurrent Neural Network for Pre-distortion of Combined Nonlinear Optical Transmitter Impairments with Memory (2018) (3)
Simulating User Activity for Assessing Effect of Sampling on DB Activity Monitoring Anomaly Detection (2018) (3)
Cost-Sensitive Detection of Malicious Applications in Mobile Devices (2010) (3)
Introducing diversity among the models of multi-label classification ensemble (2012) (3)
Publishing Differentially Private Medical Events Data (2016) (3)
Error Correcting Output Codes (2009) (3)
k-Anonymized Reducts (2010) (3)
Lessons Learned from Applying off-the-shelf BERT: There is no Silver Bullet (2020) (3)
A Universal Adversarial Policy for Text Classifiers (2022) (3)
Cascaded Data Mining Methods for Text Understanding, with medical case study (2006) (3)
User Verification on Mobile Devices Using Sequences of Touch Gestures (2017) (3)
A deep learning framework for predicting burglaries based on multiple contextual factors (2022) (3)
MetaTPOT: Enhancing A Tree-based Pipeline Optimization Tool Using Meta-Learning (2020) (3)
Machine learning and operation research based method for promotion optimization of products with no price elasticity history (2020) (3)
Cellular Immune Responses to BNT162b2 mRNA COVID-19 Vaccine in Patients with Chronic Lymphocytic Leukemia (2021) (3)
Explainable multimodal machine learning model for classifying pregnancy drug safety (2021) (3)
Iterative Boosting Deep Neural Networks for Predicting Click-Through Rate (2020) (3)
Proactive data mining using decision trees (2012) (2)
In-House Solution for the RecSys Challenge 2015 (2015) (2)
Predicting Relevance Scores for Triples from Type-Like Relations using Neural Embedding - The Cabbage Triple Scorer at WSDM Cup 2017 (2017) (2)
Using Wikipedia to Boost SVD Recommender Systems (2012) (2)
Supporting unknown number of users in keystroke dynamics models (2021) (2)
Sequence Squeezing: A Defense Method Against Adversarial Examples for API Call-Based RNN Variants (2021) (2)
PrivGen: Preserving Privacy of Sequences Through Data Generation (2020) (2)
Effectiveness of nirmatrelvir plus ritonavir treatment for patients with chronic lymphocytic leukemia during the Omicron surge (2023) (2)
Diffusion Ensemble Classifiers (2012) (2)
Search Problems in the Domain of Multiplication: Case Study on Anomaly Detection Using Markov Chains (2015) (2)
Transfer Learning for Time Series Classification Using Synthetic Data Generation (2022) (2)
Explainable machine learning for chronic lymphocytic leukemia treatment prediction using only inexpensive tests (2022) (2)
Decomposition methodology for classification tasks (2005) (2)
Artificial Intelligence - Game Changer in the Teratology Information Service. (2020) (2)
Unsupervised Fine-Grained Sentiment Analysis System Using Lexicons and Concepts (2014) (2)
ALDROID: efficient update of Android anti-virus software using designated active learning methods (2016) (2)
Reaction to New Security Threat Class (2014) (2)
Learning dataset representation for automatic machine learning algorithm selection (2022) (2)
Preference Elicitation for Group Decisions (2014) (2)
Sequence Classification Using Decision Trees (2007) (2)
AutoGRD (2019) (2)
Deep Auto-Encoding for Context-Aware Inference of Preferred Items' Categories (2016) (2)
Incremental Learning of Decision Trees (2007) (2)
Developing Analytical GIS Applications with GEO-SPADE: Three Success Case Studies (2010) (2)
Evaluation of a Design Method for Graph Database (2018) (2)
Boosting Anomaly Detection Using Unsupervised Diverse Test-Time Augmentation (2021) (2)
Semantic Comparison of State-of-the-Art Deep Learning Methods for Image Multi-Label Classification (2019) (1)
CDCDB: A large and continuously updated drug combination database (2022) (1)
TRIO: Task-agnostic dataset representation optimized for automatic algorithm selection (2021) (1)
Social Network Based Search for Experts (2012) (1)
Popular Decision Trees Induction Algorithms (2014) (1)
Proactive Data Mining: A General Approach and Algorithmic Framework (2014) (1)
Semantic Comparison of State-of-the-Art Deep Learning APIs for Image Multi-Label Classification (2019) (1)
Automatic Identification of Negated Concepts in Narrative Clinical Reports (2006) (1)
Training Decision Trees (2014) (1)
minMLST: machine learning for optimization of bacterial strain typing (2020) (1)
Data Mining for Improving Manufacturing Processes (2009) (1)
Space decomposition in data mining - a clustering approach (2002) (1)
Enhancing Real-World Adversarial Patches with 3D Modeling Techniques (2021) (1)
Incorporating Fuzzy Logic in Data Mining Tasks (2009) (1)
CDCDB: A large and continuously updated drug combination database (2022) (1)
The Role of Fuzzy Sets in Data Mining (2008) (1)
Cyber Security Meets Machine Learning (2021) (1)
Predicting application usage based on latent contextual information (2022) (1)
Enhancing real-world adversarial patches through 3D modeling of complex target scenes (2021) (1)
Privacy, Data Anonymization, and Secure Data Publishing (2012) (1)
Using multiplicative hybrid hedonic pricing model for improving revenue management in hotel business (2010) (1)
Parsimonious citer-based measures: The artificial intelligence domain as a case study (2013) (1)
MindDesktop: a general purpose brain computer interface (2017) (1)
Decomposition Methodology in Data Mining (2005) (1)
Unsupervised Commonsense Knowledge Enrichment for Domain-Specific Sentiment Analysis (2016) (1)
Q-Ball: Modeling Basketball Games Using Deep Reinforcement Learning (2022) (1)
Active learning using pessimistic expectation estimators (2009) (1)
Personal Dynamic Cost-Aware Sensing for Latent Context Detection (2019) (1)
Fuzzy Decision Trees (2007) (1)
Cost-sensitive Active and Proactive Learning of Decision Trees (2014) (1)
Improving Sentiment Analysis in an Online Cancer (2013) (1)
Using Fuzzy Logic in Data Mining (2010) (1)
Inferring Demographic Characteristics of Mobile Subscribers from Cell Tower Interactions (2022) (0)
Correction to: Preference Elicitation for Group Decisions Using the Borda Voting Rule (2020) (0)
Reply: Predicting sperm extraction in non-obstructive azoospermia patients: a machine-learning perspective. (2020) (0)
Search Problems in the Domain of Multiplication : Case Study on Robust Anomaly Detection Using Markov Chains (2015) (0)
Rebound of COVID-19 infection in patients with chronic lymphocytic leukemia treated for SARS-CoV-2 with Nirmatrelvir/Ritonavir or Molnupiravir. (2023) (0)
A tissue-aware machine learning framework enhances the mechanistic understanding and genetic diagnosis of Mendelian and rare diseases (2021) (0)
Earth-based Framework for Analyzing and Exploring Spatio-temporal Data (2010) (0)
Assessing the Quality of Scientific Papers (2019) (0)
Wikiometrics: a Wikipedia based ranking system (2017) (0)
Session details: Volume I: Artificial intelligence & agents, distributed systems, and information systems: recommender systems: theory and applications track (2013) (0)
K-anonymised Reducts (2012) (0)
Evaluation of Classification Trees (2007) (0)
Free‐text information retrieval system for a rapid enrollment of patients into clinical trials (2005) (0)
Tltd: Transfer Learning for Tabular Data (2023) (0)
A Decision Tree Framework for Semi-Automatic Extraction of Product Attributes from the Web (2006) (0)
Discount Sensitivity – Are We All Equal ? (2016) (0)
Clustering Wi-Fi fingerprints for indoor–outdoor detection (2018) (0)
Detecting unknown computer worm activity via support vector machines and active learning (2012) (0)
Guest editorial: Special issue on data mining for information security (2013) (0)
Correction to: Preference Elicitation for Group Decisions Using the Borda Voting Rule (2020) (0)
Growing Decision Trees (2007) (0)
Predicting drug characteristics using biomedical text embedding (2022) (0)
2013 international workshop on computational scientometrics: theory and applications (2013) (0)
Beyond Classification Tasks (2014) (0)
Evaluating Ensembles of Classifiers (2009) (0)
Virtual Breathalyzer: Towards the Detection of Intoxication Using Motion Sensors of Commercial Wearable Devices (2022) (0)
Integrated prediction intervals and specific value predictions for regression problems using neural networks (2022) (0)
Online Budgeted Learning for Classifier Induction (2019) (0)
Computational Scientometrics: Theory and applications (2013) (0)
Facebook single and cross domain data for recommendation systems (2012) (0)
Automatic discovery of the root causes for quality drift in high dimensionality manufacturing processes (2011) (0)
Shapley-based feature augmentation (2023) (0)
Sniffing Bacteria with a Carbon-Dot Artificial Nose (2021) (0)
Active-learning-based reconstruction of circuit model (2021) (0)
Decision Trees and Recommender Systems (2014) (0)
Supervised Learning (2010) (0)
Production Data Mining for Improving Manufacturing Processes (2019) (0)
MetaTPOT (2020) (0)
Data Leakage/Misuse Scenarios (2012) (0)
BNN: Boosting Neural Network Framework Utilizing Limited Amount of Data (2021) (0)
Lechuzo : Weakly-Supervised System for Fine-Grained Sentiment Analysis (2014) (0)
A logistic regression method for cost sensetive active learning (2008) (0)
Preference Elicitation for Group Decisions Using the Borda Voting Rule (2015) (0)
A Walk-through-guide for Using Decision Trees Software (2014) (0)
Machine-learning model for the prediction of preeclampsia – a step toward personalized risk assessment (2022) (0)
Mining Manufacturing Databases to Discover the Effect of Operation Sequence and Operation Setting on the Product Quality (2009) (0)
Proactive Data Mining in the Real World: Case Studies (2014) (0)
Hybridization of Decision Trees with other Techniques (2007) (0)
Personalized Knowledge Service for Smart Cell-Phone Based on Usage: Conceptual Model and Intention Prediction Algorithm (2014) (0)
Budgeted Learning for Classifier Induction (2019) (0)
Chapter 1 Recommender Systems : Introduction and Challenges (2015) (0)
Silent Killer: Optimizing Backdoor Trigger Yields a Stealthy and Powerful Data Poisoning Attack (2023) (0)
Introduction to Ensemble Learning (2009) (0)
Sensitivity Analysis of Proactive Data Mining (2014) (0)
Introduction to Pattern Classification (2009) (0)
Approximating Aggregated SQL Queries with LSTM Networks (2020) (0)
MultiCamp — Cost sensitive active learning algorithm for multiple parallel campaigns (2010) (0)
Adversarial Vulnerability of Deep Learning Models in Analyzing Next Generation Sequencing Data (2020) (0)
ConfDTree: A Statistical Method for Improving Decision Trees (2014) (0)
Proceedings of the 2015 International ACM Recommender Systems Challenge (2015) (0)
Cross Version Defect Prediction with Class Dependency Embeddings (2022) (0)
AMFPMC - An improved method of detecting multiple types of drug-drug interactions using only known drug-drug interactions (2023) (0)
The Age of Testifying Wearable Devices: The Case of Intoxication Detection (2020) (0)
Future Trends in Data Leakage (2012) (0)
FSCOAL—Parallel simultaneous fuzzy co‐clustering and learning (2018) (0)
A Generic Algorithm for Top-Down Induction of Decision Trees (2014) (0)
Proceedings of the 2013 workshop on Computational scientometrics: theory & applications, CompSci@CIKM 2013, San Francisco, California, USA, October 28, 2013 (2013) (0)
INTERACTIVE AUDIENCE SELECTION TOOL FOR DISTRIBUTING A MOBILE CAMPAIGN (2010) (0)
IP2User -- Identifying the Username of an IP Address in Network-Related Events (2013) (0)
Introduction to Proactive Data Mining (2014) (0)
RECOMMENDER SYSTEMS FOR CALL CENTERS (2013) (0)
Automatic Machine Learning Derived from Scholarly Big Data (2020) (0)
Model-Based Diagnosis with Multi-Label Classi cation (2011) (0)
Detection of Data Leakage using Misuseability Weight Measure (2013) (0)
A Hybrid Approach for Fault Detection and Diagnosis in Autonamous Systems (0)
Wikibook-Bot - Automatic Generation of a Wikipedia Book (2018) (0)
Enhancement to MindDesktop: Improvement to a General Purpose Brain Computer Interface (0)
BNN (2021) (0)
Automatic Feature Engineering for Learning Compact Decision Trees (2022) (0)
A Decision-Tree Framework for Instance-space Decomposition (2006) (0)
Developing a Price Management Decision Support System for Hotel Brokers using Free and Open Source Tools (2011) (0)
Sequence Preserving Network Traffic Generation (2020) (0)
F-PENN - Forest path encoding for neural networks (2021) (0)

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