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ORCIDLior Rokach
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- affiliation: Ben-Gurion University, Beersheba, Israel
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2020 – today
- 2025
[j141]Shani Cohen
, Lior Rokach, Isana Veksler-Lublinsky:
GNNs and ensemble models enhance the prediction of new sRNA-mRNA interactions in unseen conditions. BMC Bioinform. 26(1): 131 (2025)- [j140]Gal Braun, Seffi Cohen, Lior Rokach:
Adversarial evasion attacks detection for tree-based ensembles: A representation learning approach. Inf. Fusion 118: 102964 (2025) - [c122]Guy Hadad, Haggai Roitman, Yotam Eshel, Bracha Shapira, Lior Rokach:
X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation. SIGIR 2025: 1497-1507 - [i65]Nurit Cohen-Inger, Seffi Cohen, Neomi Rabaev, Lior Rokach, Bracha Shapira:
BiasGuard: Guardrailing Fairness in Machine Learning Production Systems. CoRR abs/2501.04142 (2025) - [i64]Nurit Cohen-Inger, Lior Rokach, Bracha Shapira, Seffi Cohen:
FairTTTS: A Tree Test Time Simulation Method for Fairness-Aware Classification. CoRR abs/2501.08155 (2025) - [i63]Seffi Cohen, Niv Goldshlager, Nurit Cohen-Inger, Bracha Shapira, Lior Rokach:
DFPE: A Diverse Fingerprint Ensemble for Enhancing LLM Performance. CoRR abs/2501.17479 (2025) - [i62]Nurit Cohen-Inger, Yehonatan Elisha, Bracha Shapira, Lior Rokach, Seffi Cohen:
Forget What You Know about LLMs Evaluations - LLMs are Like a Chameleon. CoRR abs/2502.07445 (2025) - [i61]Guy Hadad, Haggai Roitman, Yotam Eshel, Bracha Shapira, Lior Rokach:
X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation. CoRR abs/2504.20859 (2025) - [i60]Michael Fire, Yitzhak Elbazis, Adi Wasenstein, Lior Rokach:
Dark LLMs: The Growing Threat of Unaligned AI Models. CoRR abs/2505.10066 (2025) - 2024
- [b8]Lior Rokach:
Cluster Analysis - A Primer Using R. WorldScientific 2024, ISBN 9789811297472, pp. 1-304 - [j139]Itai Dagan, Roman Vainshtein, Gilad Katz, Lior Rokach:
Automated algorithm selection using meta-learning and pre-trained deep convolution neural networks. Inf. Fusion 105: 102210 (2024) - [j138]Noy Cohen-Shapira, Lior Rokach:
PnT: Born-again tree-based model via fused decision path encoding. Inf. Fusion 112: 102545 (2024) - [j137]Seffi Cohen, Edo Lior, Moshe Bocher, Lior Rokach:
Improving severity classification of Hebrew PET-CT pathology reports using test-time augmentation. J. Biomed. Informatics 149: 104577 (2024) - [j136]Amiel Meiseles, Lior Rokach:
Iterative Feature eXclusion (IFX): Mitigating feature starvation in gradient boosted decision trees. Knowl. Based Syst. 289: 111546 (2024) - [j135]Ronen Priel, Lior Rokach:
Machine learning-based stock picking using value investing and quality features. Neural Comput. Appl. 36(20): 11963-11986 (2024) - [c121]Seffi Cohen, Ofir Arbili, Yisroel Mirsky, Lior Rokach:
TTTS: Tree Test Time Simulation for Enhancing Decision Tree Robustness against Adversarial Examples. AAAI 2024: 20993-21000 - [c120]Nurit Cohen-Inger, Guy Rozenblatt, Seffi Cohen, Lior Rokach, Bracha Shapira:
FairUS - UpSampling Optimized Method for Boosting Fairness. ECAI 2024: 962-970 - [i59]Seffi Cohen, Lior Rokach:
BagStacking: An Integrated Ensemble Learning Approach for Freezing of Gait Detection in Parkinson's Disease. CoRR abs/2402.17783 (2024) - [i58]Shai Meital, Lior Rokach, Roman Vainshtein, Nir Grinberg:
The Branch Not Taken: Predicting Branching in Online Conversations. CoRR abs/2404.13613 (2024) - [i57]Koren Ishlach, Itzhak Ben-David, Michael Fire, Lior Rokach:
A Novel Method for News Article Event-Based Embedding. CoRR abs/2405.13071 (2024) - 2023
- [j134]Amiel Meiseles, Yair Motro, Lior Rokach, Jacob Moran-Gilad:
Vulnerability of pangolin SARS-CoV-2 lineage assignment to adversarial attack. Artif. Intell. Medicine 146: 102722 (2023) - [j133]Maxim Bragilovski, Zahi Kapri, Lior Rokach, Shelly Levy-Tzedek:
TLTD: Transfer Learning for Tabular Data. Appl. Soft Comput. 147: 110748 (2023) - [j132]Eyal Mazuz, Guy Shtar, Nir Kutsky, Lior Rokach, Bracha Shapira:
Pretrained transformer models for predicting the withdrawal of drugs from the market. Bioinform. 39(8) (2023) - [j131]Seffi Cohen, Niv Goldshlager, Bracha Shapira, Lior Rokach:
TTANAD: Test-Time Augmentation for Network Anomaly Detection. Entropy 25(5): 820 (2023) - [j130]Inbal Roshanski, Meir Kalech, Lior Rokach:
Automatic Feature Engineering for Learning Compact Decision Trees. Expert Syst. Appl. 229(Part A): 120470 (2023) - [j129]Liat Antwarg, Chen Galed, Nathaniel Shimoni, Lior Rokach, Bracha Shapira:
Shapley-based feature augmentation. Inf. Fusion 96: 92-102 (2023) - [j128]Seffi Cohen, Dan Presil, Or Katz, Ofir Arbili, Shvat Messica, Lior Rokach:
Enhancing social network hate detection using back translation and GPT-3 augmentations during training and test-time. Inf. Fusion 99: 101887 (2023) - [j127]Seffi Cohen, Niv Goldshlager, Lior Rokach, Bracha Shapira:
Boosting anomaly detection using unsupervised diverse test-time augmentation. Inf. Sci. 626: 821-836 (2023) - [j126]Ariel Bar, Bracha Shapira, Lior Rokach:
Context aware Markov chains models. Knowl. Based Syst. 282: 111083 (2023) - [j125]Adva Hadrian, Roman Vainshtein, Bracha Shapira, Lior Rokach:
DeepCAN: Hybrid Method for Road Type Classification Using Vehicle Sensor Data for Smart Autonomous Mobility. IEEE Trans. Intell. Transp. Syst. 24(11): 11756-11772 (2023) - [c119]Moran Beladev, Gilad Katz, Lior Rokach, Uriel Singer, Kira Radinsky:
GraphERT- Transformers-based Temporal Dynamic Graph Embedding. CIKM 2023: 68-77 - [c118]Tamar Didi, Ido Guy, Amit Livne, Arnon Dagan, Lior Rokach, Bracha Shapira:
Promoting Tail Item Recommendations in E-Commerce. UMAP 2023: 194-203 - [d1]Shani Cohen, Lior Rokach, Isana Veksler-Lublinsky:
Dataset of GraphRNA scores for sRNA-mRNA interactions in E. coli. Zenodo, 2023
- [i56]Tzvi Lederer, Gallil Maimon, Lior Rokach:
Silent Killer: Optimizing Backdoor Trigger Yields a Stealthy and Powerful Data Poisoning Attack. CoRR abs/2301.02615 (2023) - [i55]Bar Vered, Guy Shtar, Lior Rokach, Bracha Shapira:
AMFPMC - An improved method of detecting multiple types of drug-drug interactions using only known drug-drug interactions. CoRR abs/2302.03355 (2023) - 2022
- [j124]Gal Rozenfeld, Meir Kalech, Lior Rokach:
Active-learning-based reconstruction of circuit model. Appl. Intell. 52(5): 5125-5143 (2022) - [j123]Guy Shtar, Lior Rokach, Bracha Shapira, Elkana Kohn, Matitiahu Berkovitch, Maya Berlin:
Explainable multimodal machine learning model for classifying pregnancy drug safety. Bioinform. 38(4): 1102-1109 (2022) - [j122]Guy Shtar, Asnat Greenstein-Messica, Eyal Mazuz, Lior Rokach, Bracha Shapira:
Predicting drug characteristics using biomedical text embedding. BMC Bioinform. 23(1): 526 (2022) - [j121]Amiel Meiseles, Denis Paley, Mira Ziv, Yarin Hadid, Lior Rokach, Tamar Tadmor:
Explainable machine learning for chronic lymphocytic leukemia treatment prediction using only inexpensive tests. Comput. Biol. Medicine 145: 105490 (2022) - [j120]Adir Solomon, Bracha Shapira, Lior Rokach:
Predicting application usage based on latent contextual information. Comput. Commun. 192: 197-209 (2022) - [j119]Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach:
Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain. ACM Comput. Surv. 54(5): 108:1-108:36 (2022) - [j118]Amit Livne, Eliad Shem Tov, Adir Solomon, Achiya Elyasaf, Bracha Shapira, Lior Rokach:
Evolving context-aware recommender systems with users in mind. Expert Syst. Appl. 189: 116042 (2022) - [j117]Adir Solomon, Mor Kertis, Bracha Shapira, Lior Rokach:
A deep learning framework for predicting burglaries based on multiple contextual factors. Expert Syst. Appl. 199: 117042 (2022) - [j116]Yael Mathov, Lior Rokach, Yuval Elovici:
Enhancing real-world adversarial patches through 3D modeling of complex target scenes. Neurocomputing 499: 11-22 (2022) - [j115]Shir Chorev, Philip Tannor, Dan Ben Israel, Noam Bressler, Itay Gabbay, Nir Hutnik, Jonatan Liberman, Matan Perlmutter, Yurii Romanyshyn, Lior Rokach:
Deepchecks: A Library for Testing and Validating Machine Learning Models and Data. J. Mach. Learn. Res. 23: 285:1-285:6 (2022) - [j114]Noy Cohen-Shapira, Lior Rokach:
Learning dataset representation for automatic machine learning algorithm selection. Knowl. Inf. Syst. 64(10): 2599-2635 (2022) - [j113]Adir Solomon, Michael Michaelshvili, Ron Bitton, Bracha Shapira, Lior Rokach, Rami Puzis, Asaf Shabtai:
Contextual security awareness: A context-based approach for assessing the security awareness of users. Knowl. Based Syst. 246: 108709 (2022) - [j112]Eli Simhayev, Gilad Katz, Lior Rokach:
Integrated prediction intervals and specific value predictions for regression problems using neural networks. Knowl. Based Syst. 247: 108685 (2022) - [j111]Gallil Maimon, Lior Rokach:
A universal adversarial policy for text classifiers. Neural Networks 153: 282-291 (2022) - [j110]Ben Nassi, Jacob Shams, Lior Rokach, Yuval Elovici:
Virtual Breathalyzer: Towards the Detection of Intoxication Using Motion Sensors of Commercial Wearable Devices. Sensors 22(9): 3580 (2022) - [c117]Chen Yanai, Adir Solomon, Gilad Katz, Bracha Shapira, Lior Rokach:
Q-Ball: Modeling Basketball Games Using Deep Reinforcement Learning. AAAI 2022: 8806-8813 - [c116]Yarden Rotem, Nathaniel Shimoni, Lior Rokach, Bracha Shapira:
Transfer Learning for Time Series Classification Using Synthetic Data Generation. CSCML 2022: 232-246 - [e9]Francesco Ricci, Lior Rokach, Bracha Shapira:
Recommender Systems Handbook. Springer US 2022, ISBN 978-1-0716-2196-7 [contents] - [r5]Francesco Ricci, Lior Rokach, Bracha Shapira:
Recommender Systems: Techniques, Applications, and Challenges. Recommender Systems Handbook 2022: 1-35 - [i54]Shir Chorev, Philip Tannor, Dan Ben Israel, Noam Bressler, Itay Gabbay, Nir Hutnik, Jonatan Liberman, Matan Perlmutter, Yurii Romanyshyn, Lior Rokach:
Deepchecks: A Library for Testing and Validating Machine Learning Models and Data. CoRR abs/2203.08491 (2022) - [i53]Gallil Maimon, Lior Rokach:
A Universal Adversarial Policy for Text Classifiers. CoRR abs/2206.09458 (2022) - [i52]Yarden Rotem, Nathaniel Shimoni, Lior Rokach, Bracha Shapira:
Transfer learning for time series classification using synthetic data generation. CoRR abs/2207.07897 (2022) - [i51]Moti Cohen, Lior Rokach, Rami Puzis:
Cross Version Defect Prediction with Class Dependency Embeddings. CoRR abs/2212.14404 (2022) - 2021
- [j109]Seffi Cohen, Noa Dagan, Nurit Cohen-Inger, Dan Ofer, Lior Rokach:
ICU Survival Prediction Incorporating Test-Time Augmentation to Improve the Accuracy of Ensemble-Based Models. IEEE Access 9: 91584-91592 (2021) - [j108]Shani Cohen, Lior Rokach, Yair Motro, Jacob Moran-Gilad, Isana Veksler-Lublinsky:
minMLST: machine learning for optimization of bacterial strain typing. Bioinform. 37(3): 303-311 (2021) - [j107]Liat Antwarg, Ronnie Mindlin Miller, Bracha Shapira, Lior Rokach:
Explaining anomalies detected by autoencoders using Shapley Additive Explanations. Expert Syst. Appl. 186: 115736 (2021) - [j106]Yoni Cohen, Gilad Katz, Lior Rokach:
F-PENN - Forest path encoding for neural networks. Inf. Fusion 75: 186-196 (2021) - [j105]Omer Sagi, Lior Rokach:
Approximating XGBoost with an interpretable decision tree. Inf. Sci. 572: 522-542 (2021) - [j104]Itay Gabbay, Bracha Shapira, Lior Rokach:
Isolation forests and landmarking-based representations for clustering algorithm recommendation using meta-learning. Inf. Sci. 574: 473-489 (2021) - [j103]Noy Cohen-Shapira, Lior Rokach:
Automatic selection of clustering algorithms using supervised graph embedding. Inf. Sci. 577: 824-851 (2021) - [j102]Itay Hazan, Oded Margalit, Lior Rokach:
Supporting unknown number of users in keystroke dynamics models. Knowl. Based Syst. 221: 106982 (2021) - [j101]Shir Kashi, Ronit Feingold Polak, Boaz Lerner, Lior Rokach, Shelly Levy-Tzedek:
A Machine-Learning Model for Automatic Detection of Movement Compensations in Stroke Patients. IEEE Trans. Emerg. Top. Comput. 9(3): 1234-1247 (2021) - [j100]Adir Solomon, Amit Livne, Gilad Katz, Bracha Shapira, Lior Rokach:
Analyzing movement predictability using human attributes and behavioral patterns. Comput. Environ. Urban Syst. 87: 101596 (2021) - [c115]Amit Livne, Roy Dor, Bracha Shapira, Lior Rokach:
BNN: Boosting Neural Network Framework Utilizing Limited Amount of Data. CIKM 2021: 1150-1159 - [c114]Noy Cohen-Shapira, Lior Rokach:
TRIO: Task-agnostic dataset representation optimized for automatic algorithm selection. ICDM 2021: 81-90 - [c113]Ori Or-Meir, Aviad Cohen, Yuval Elovici, Lior Rokach, Nir Nissim:
Pay Attention: Improving Classification of PE Malware Using Attention Mechanisms Based on System Call Analysis. IJCNN 2021: 1-8 - [c112]Nir Regev, Lior Rokach, Asaf Shabtai:
Approximating Aggregated SQL Queries with LSTM Networks. IJCNN 2021: 1-8 - [c111]Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach:
Sequence Squeezing: A Defense Method Against Adversarial Examples for API Call-Based RNN Variants. IJCNN 2021: 1-10 - [i50]Yael Mathov, Lior Rokach, Yuval Elovici:
Enhancing Real-World Adversarial Patches with 3D Modeling Techniques. CoRR abs/2102.05334 (2021) - [i49]Seffi Cohen, Niv Goldshlager, Lior Rokach, Bracha Shapira:
Boosting Anomaly Detection Using Unsupervised Diverse Test-Time Augmentation. CoRR abs/2110.15700 (2021) - 2020
- [j99]Amiel Meiseles, Lior Rokach:
Source Model Selection for Deep Learning in the Time Series Domain. IEEE Access 8: 6190-6200 (2020) - [j98]Asnat Greenstein-Messica, Lior Rokach:
Machine learning and operation research based method for promotion optimization of products with no price elasticity history. Electron. Commer. Res. Appl. 40: 100914 (2020) - [j97]Itay Hazan, Oded Margalit, Lior Rokach:
Keystroke dynamics obfuscation using key grouping. Expert Syst. Appl. 143 (2020) - [j96]Adam Kubany, Shimon Ben Ishay, Ruben-sacha Ohayon, Armin Shmilovici, Lior Rokach, Tomer Doitshman:
Comparison of state-of-the-art deep learning APIs for image multi-label classification using semantic metrics. Expert Syst. Appl. 161: 113656 (2020) - [j95]Omer Sagi, Lior Rokach:
Explainable decision forest: Transforming a decision forest into an interpretable tree. Inf. Fusion 61: 124-138 (2020) - [j94]Sergio González, Salvador García, Javier Del Ser, Lior Rokach, Francisco Herrera:
A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities. Inf. Fusion 64: 205-237 (2020) - [j93]Ido Tam, Meir Kalech, Lior Rokach, Eyal Madar, Jacob Bortman, Renata Klein:
Probability-Based Algorithm for Bearing Diagnosis with Untrained Spall Sizes. Sensors 20(5): 1298 (2020) - [c110]Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach:
Query-Efficient Black-Box Attack Against Sequence-Based Malware Classifiers. ACSAC 2020: 611-626 - [c109]Amiel Meiseles, Ishai Rosenberg, Yair Motro, Lior Rokach, Jacob Moran-Gilad:
Adversarial Vulnerability of Deep Learning Models in Analyzing Next Generation Sequencing Data. BIBM 2020: 464-468 - [c108]Moran Beladev, Lior Rokach, Gilad Katz, Ido Guy, Kira Radinsky:
tdGraphEmbed: Temporal Dynamic Graph-Level Embedding. CIKM 2020: 55-64 - [c107]Doron Laadan, Roman Vainshtein, Yarden Curiel, Gilad Katz, Lior Rokach:
MetaTPOT: Enhancing A Tree-based Pipeline Optimization Tool Using Meta-Learning. CIKM 2020: 2097-2100 - [c106]Adir Solomon, Amit Magen, Simo Hanouna, Mor Kertis, Bracha Shapira, Lior Rokach:
Crime Linkage Based on Textual Hebrew Police Reports Utilizing Behavioral Patterns. CIKM 2020: 2749-2756 - [c105]Yuval Heffetz, Roman Vainshtein, Gilad Katz, Lior Rokach:
DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering. KDD 2020: 2103-2113 - [c104]Hagit Grushka-Cohen, Ofer Biller, Oded Sofer, Lior Rokach, Bracha Shapira:
Using Bandits for Effective Database Activity Monitoring. PAKDD (2) 2020: 701-713 - [c103]Hen Tzaban, Ido Guy, Asnat Greenstein-Messica, Arnon Dagan, Lior Rokach, Bracha Shapira:
Product Bundle Identification using Semi-Supervised Learning. SIGIR 2020: 791-800 - [i48]Sigal Shaked, Amos Zamir, Roman Vainshtein, Moshe Unger, Lior Rokach, Rami Puzis, Bracha Shapira:
Sequence Preserving Network Traffic Generation. CoRR abs/2002.09832 (2020) - [i47]Sigal Shaked, Lior Rokach:
PrivGen: Preserving Privacy of Sequences Through Data Generation. CoRR abs/2002.09834 (2020) - [i46]Asnat Greenstein-Messica, Roman Vainshtein, Gilad Katz, Bracha Shapira, Lior Rokach:
Automatic Machine Learning Derived from Scholarly Big Data. CoRR abs/2003.03470 (2020) - [i45]Eli Simhayev, Gilad Katz, Lior Rokach:
PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction. CoRR abs/2006.05139 (2020) - [i44]Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach:
Adversarial Learning in the Cyber Security Domain. CoRR abs/2007.02407 (2020) - [i43]Amit Livne, Roy Dor, Eyal Mazuz, Tamar Didi, Bracha Shapira, Lior Rokach:
Iterative Boosting Deep Neural Networks for Predicting Click-Through Rate. CoRR abs/2007.13087 (2020) - [i42]Hagit Grushka-Cohen, Raphael Cohen, Bracha Shapira, Jacob Moran-Gilad, Lior Rokach:
A framework for optimizing COVID-19 testing policy using a Multi Armed Bandit approach. CoRR abs/2007.14805 (2020) - [i41]Amit Livne, Eliad Shem Tov, Adir Solomon, Achiya Elyasaf, Bracha Shapira, Lior Rokach:
Evolving Context-Aware Recommender Systems With Users in Mind. CoRR abs/2007.15409 (2020) - [i40]Victor Makarenkov, Lior Rokach:
Lessons Learned from Applying off-the-shelf BERT: There is no Silver Bullet. CoRR abs/2009.07238 (2020) - [i39]Nir Regev, Lior Rokach, Asaf Shabtai:
Approximating Aggregated SQL Queries With LSTM Networks. CoRR abs/2010.13149 (2020) - [i38]Noy Cohen-Shapira, Lior Rokach:
Automatic selection of clustering algorithms using supervised graph embedding. CoRR abs/2011.08225 (2020) - [i37]Ben Nassi, Lior Rokach, Yuval Elovici:
The Age of Testifying Wearable Devices: The Case of Intoxication Detection. IACR Cryptol. ePrint Arch. 2020: 1504 (2020)
2010 – 2019
- 2019
- [b7]Lior Rokach:
Ensemble Learning - Pattern Classification Using Ensemble Methods, 2nd Edition. Series in Machine Perception and Artificial Intelligence 85, WorldScientific 2019, ISBN 9789811201950, pp. 1-300 - [j92]Nir Nissim, Aviad Cohen, Jian Wu, Andrea Lanzi, Lior Rokach, Yuval Elovici, C. Lee Giles:
Sec-Lib: Protecting Scholarly Digital Libraries From Infected Papers Using Active Machine Learning Framework. IEEE Access 7: 110050-110073 (2019) - [j91]Itay Hazan, Oded Margalit, Lior Rokach:
Securing keystroke dynamics from replay attacks. Appl. Soft Comput. 85 (2019) - [j90]Nir Nissim, Omri Lahav, Aviad Cohen, Yuval Elovici, Lior Rokach:
Volatile memory analysis using the MinHash method for efficient and secured detection of malware in private cloud. Comput. Secur. 87 (2019) - [j89]Ori Or-Meir, Nir Nissim, Yuval Elovici, Lior Rokach:
Dynamic Malware Analysis in the Modern Era - A State of the Art Survey. ACM Comput. Surv. 52(5): 88:1-88:48 (2019) - [j88]Victor Makarenkov, Lior Rokach, Bracha Shapira:
Choosing the right word: Using bidirectional LSTM tagger for writing support systems. Eng. Appl. Artif. Intell. 84: 1-10 (2019) - [j87]Abraham Israeli, Lior Rokach, Asaf Shabtai:
Constraint learning based gradient boosting trees. Expert Syst. Appl. 128: 287-300 (2019) - [j86]Victor Makarenkov, Ido Guy, Niva Hazon, Tamar Meisels, Bracha Shapira, Lior Rokach:
Implicit dimension identification in user-generated text with LSTM networks. Inf. Process. Manag. 56(5): 1880-1893 (2019) - [j85]Guy Shtar, Bracha Shapira, Lior Rokach:
Clustering Wi-Fi fingerprints for indoor-outdoor detection. Wirel. Networks 25(3): 1341-1359 (2019) - [c102]Noy Cohen-Shapira, Lior Rokach, Bracha Shapira, Gilad Katz, Roman Vainshtein:
AutoGRD: Model Recommendation Through Graphical Dataset Representation. CIKM 2019: 821-830 - [c101]Philip Tannor, Lior Rokach:
AugBoost: Gradient Boosting Enhanced with Step-Wise Feature Augmentation. IJCAI 2019: 3555-3561 - [i36]Victor Makarenkov, Lior Rokach, Bracha Shapira:
Choosing the Right Word: Using Bidirectional LSTM Tagger for Writing Support Systems. CoRR abs/1901.02490 (2019) - [i35]Victor Makarenkov, Ido Guy, Niva Hazon, Tamar Meisels, Bracha Shapira, Lior Rokach:
Implicit Dimension Identification in User-Generated Text with LSTM Networks. CoRR abs/1901.09219 (2019) - [i34]Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach:
Defense Methods Against Adversarial Examples for Recurrent Neural Networks. CoRR abs/1901.09963 (2019) - [i33]Liat Antwarg, Bracha Shapira, Lior Rokach:
Explaining Anomalies Detected by Autoencoders Using SHAP. CoRR abs/1903.02407 (2019) - [i32]Guy Shtar, Lior Rokach, Bracha Shapira:
Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures. CoRR abs/1903.04571 (2019) - [i31]Saar Tal, Bracha Shapira, Lior Rokach:
Personal Dynamic Cost-Aware Sensing for Latent Context Detection. CoRR abs/1903.05376 (2019) - [i30]Eran Fainman, Bracha Shapira, Lior Rokach, Yisroel Mirsky:
Online Budgeted Learning for Classifier Induction. CoRR abs/1903.05382 (2019) - [i29]Adam Kubany, Shimon Ben Ishay, Ruben-sacha Ohayon, Armin Shmilovici, Lior Rokach, Tomer Doitshman:
Semantic Comparison of State-of-the-Art Deep Learning Methods for Image Multi-Label Classification. CoRR abs/1903.09190 (2019) - [i28]Michael Shekasta, Gilad Katz, Asnat Greenstein-Messica, Lior Rokach, Bracha Shapira:
New Item Consumption Prediction Using Deep Learning. CoRR abs/1905.01686 (2019) - [i27]Guy Shtar, Bracha Shapira, Lior Rokach:
Clustering Wi-Fi Fingerprints for Indoor-Outdoor Detection. CoRR abs/1908.00758 (2019) - [i26]Roman Vainshtein, Gilad Katz, Bracha Shapira, Lior Rokach:
Assessing the Quality of Scientific Papers. CoRR abs/1908.04200 (2019) - [i25]Amit Livne, Moshe Unger, Bracha Shapira, Lior Rokach:
Deep Context-Aware Recommender System Utilizing Sequential Latent Context. CoRR abs/1909.03999 (2019) - [i24]Hagit Grushka-Cohen, Ofer Biller, Oded Sofer, Lior Rokach, Bracha Shapira:
Diversifying Database Activity Monitoring with Bandits. CoRR abs/1910.10777 (2019) - [i23]Yuval Heffetz, Roman Vainshtein, Gilad Katz, Lior Rokach:
DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering. CoRR abs/1911.00061 (2019) - [i22]Doron Laadan, Roman Vainshtein, Yarden Curiel, Gilad Katz, Lior Rokach:
RankML: a Meta Learning-Based Approach for Pre-Ranking Machine Learning Pipelines. CoRR abs/1911.00108 (2019) - 2018
- [j84]Ron Bitton, Andrey Finkelshtein, Lior Sidi, Rami Puzis, Lior Rokach, Asaf Shabtai:
Taxonomy of mobile users' security awareness. Comput. Secur. 73: 266-293 (2018) - [j83]David Biton, Meir Kalech, Lior Rokach:
FSCOAL - Parallel simultaneous fuzzy co-clustering and learning. Int. J. Intell. Syst. 33(7): 1364-1380 (2018) - [j82]Asnat Greenstein-Messica, Lior Rokach:
Personal price aware multi-seller recommender system: Evidence from eBay. Knowl. Based Syst. 150: 14-26 (2018) - [j81]Moshe Unger, Bracha Shapira, Lior Rokach, Amit Livne:
Inferring contextual preferences using deep encoder-decoder learners. New Rev. Hypermedia Multim. 24(3): 262-290 (2018) - [j80]Omer Sagi, Lior Rokach:
Ensemble learning: A survey. WIREs Data Mining Knowl. Discov. 8(4) (2018) - [c100]Noa Roy-Hubara, Lior Rokach, Bracha Shapira, Peretz Shoval:
Evaluation of a Design Method for Graph Database. BPMDS/EMMSAD@CAiSE 2018: 291-303 - [c99]Roman Vainshtein, Asnat Greenstein-Messica, Gilad Katz, Bracha Shapira, Lior Rokach:
A Hybrid Approach for Automatic Model Recommendation. CIKM 2018: 1623-1626 - [c98]Hagit Grushka-Cohen, Ofer Biller, Oded Sofer, Lior Rokach, Bracha Shapira:
Simulating User Activity for Assessing Effect of Sampling on DB Activity Monitoring Anomaly Detection. PADG@ESORICS 2018: 82-90 - [c97]Liron Ben Kimon, Yisroel Mirsky, Lior Rokach, Bracha Shapira:
Utilizing Sequences of Touch Gestures for User Verification on Mobile Devices. PAKDD (3) 2018: 816-828 - [c96]Ishai Rosenberg, Asaf Shabtai, Lior Rokach, Yuval Elovici:
Generic Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers. RAID 2018: 490-510 - [c95]Adir Solomon, Ariel Bar, Chen Yanai, Bracha Shapira, Lior Rokach:
Predict Demographic Information Using Word2vec on Spatial Trajectories. UMAP 2018: 331-339 - [c94]Ido Guy, Victor Makarenkov, Niva Hazon, Lior Rokach, Bracha Shapira:
Identifying Informational vs. Conversational Questions on Community Question Answering Archives. WSDM 2018: 216-224 - [i21]Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach:
Low Resource Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers. CoRR abs/1804.08778 (2018) - [i20]Shahar Admati, Lior Rokach, Bracha Shapira:
Wikibook-Bot - Automatic Generation of a Wikipedia Book. CoRR abs/1812.10937 (2018) - 2017
- [j79]Eliahu Khalastchi, Meir Kalech, Lior Rokach:
A hybrid approach for improving unsupervised fault detection for robotic systems. Expert Syst. Appl. 81: 372-383 (2017) - [j78]Alon Schclar, Lior Rokach, Amir Amit:
Ensembles of classifiers based on dimensionality reduction. Intell. Data Anal. 21(3): 467-489 (2017) - [j77]Nir Ofek, Lior Rokach, Roni Stern, Asaf Shabtai:
Fast-CBUS: A fast clustering-based undersampling method for addressing the class imbalance problem. Neurocomputing 243: 88-102 (2017) - [j76]Noa Roy-Hubara, Lior Rokach, Bracha Shapira, Peretz Shoval:
Modeling Graph Database Schema. IT Prof. 19(6): 34-43 (2017) - [j75]Asnat Greenstein-Messica, Lior Rokach, Asaf Shabtai:
Personal-discount sensitivity prediction for mobile coupon conversion optimization. J. Assoc. Inf. Sci. Technol. 68(8): 1940-1952 (2017) - [j74]Yisroel Mirsky, Asaf Shabtai, Bracha Shapira, Yuval Elovici, Lior Rokach:
Anomaly detection for smartphone data streams. Pervasive Mob. Comput. 35: 83-107 (2017) - [j73]Gilad Katz, Lior Rokach:
Wikiometrics: a Wikipedia based ranking system. World Wide Web 20(6): 1153-1177 (2017) - [c93]Tal Hadad, Rami Puzis, Bronislav Sidik, Nir Ofek, Lior Rokach:
Application Marketplace Malware Detection by User Feedback Analysis. ICISSP (Revised Selected Papers) 2017: 1-19 - [c92]Tal Hadad, Bronislav Sidik, Nir Ofek, Rami Puzis, Lior Rokach:
User Feedback Analysis for Mobile Malware Detection. ICISSP 2017: 83-94 - [c91]Asnat Greenstein-Messica, Lior Rokach, Michael Friedmann:
Session-Based Recommendations Using Item Embedding. IUI 2017: 629-633 - [c90]Nir Nissim, Aviad Cohen, Jian Wu, Andrea Lanzi, Lior Rokach, Yuval Elovici, C. Lee Giles:
Scholarly Digital Libraries as a Platform for Malware Distribution. SG-CRC 2017: 107-128 - [c89]Moshe Unger, Bracha Shapira, Lior Rokach, Ariel Bar:
Inferring Contextual Preferences Using Deep Auto-Encoding. UMAP 2017: 221-229 - [c88]Liron Ben Kimon, Yisroel Mirsky, Lior Rokach, Bracha Shapira:
User Verification on Mobile Devices Using Sequences of Touch Gestures. UMAP 2017: 365-366 - [i19]Ori Ossmy, Ofir Tam, Rami Puzis, Lior Rokach, Ohad Inbar, Yuval Elovici:
MindDesktop: a general purpose brain computer interface. CoRR abs/1705.07490 (2017) - [i18]Ishai Rosenberg, Asaf Shabtai, Lior Rokach, Yuval Elovici:
Generic Black-Box End-to-End Attack against RNNs and Other API Calls Based Malware Classifiers. CoRR abs/1707.05970 (2017) - [i17]Hagit Grushka-Cohen, Oded Sofer, Ofer Biller, Michael Dymshits, Lior Rokach, Bracha Shapira:
Sampling High Throughput Data for Anomaly Detection of Data-Base Activity. CoRR abs/1708.04278 (2017) - [i16]Yael Brumer, Bracha Shapira, Lior Rokach, Oren Barkan:
Predicting Relevance Scores for Triples from Type-Like Relations using Neural Embedding - The Cabbage Triple Scorer at WSDM Cup 2017. CoRR abs/1712.08359 (2017) - 2016
- [j72]Nir Ofek, Soujanya Poria, Lior Rokach, Erik Cambria, Amir Hussain, Asaf Shabtai:
Unsupervised Commonsense Knowledge Enrichment for Domain-Specific Sentiment Analysis. Cogn. Comput. 8(3): 467-477 (2016) - [j71]Lihi Naamani Dery, Meir Kalech, Lior Rokach, Bracha Shapira:
Reducing preference elicitation in group decision making. Expert Syst. Appl. 61: 246-261 (2016) - [j70]Aviad Cohen, Nir Nissim, Lior Rokach, Yuval Elovici:
SFEM: Structural feature extraction methodology for the detection of malicious office documents using machine learning methods. Expert Syst. Appl. 63: 324-343 (2016) - [j69]David Ben-Shimon, Lior Rokach, Bracha Shapira:
An ensemble method for top-N recommendations from the SVD. Expert Syst. Appl. 64: 84-92 (2016) - [j68]Olga Peled, Michael Fire, Lior Rokach, Yuval Elovici:
Matching entities across online social networks. Neurocomputing 210: 91-106 (2016) - [j67]Lior Rokach:
Decision forest: Twenty years of research. Inf. Fusion 27: 111-125 (2016) - [j66]Eitan Menahem, Alon Schclar, Lior Rokach, Yuval Elovici:
XML-AD: Detecting anomalous patterns in XML documents. Inf. Sci. 326: 71-88 (2016) - [j65]Ido Blank, Lior Rokach, Guy Shani:
Leveraging metadata to recommend keywords for academic papers. J. Assoc. Inf. Sci. Technol. 67(12): 3073-3091 (2016) - [j64]Nir Nissim, Robert Moskovitch, Oren Bar-Ad, Lior Rokach, Yuval Elovici:
ALDROID: efficient update of Android anti-virus software using designated active learning methods. Knowl. Inf. Syst. 49(3): 795-833 (2016) - [j63]Moshe Unger, Ariel Bar, Bracha Shapira, Lior Rokach:
Towards latent context-aware recommendation systems. Knowl. Based Syst. 104: 165-178 (2016) - [j62]Edita Grolman, Ariel Bar, Bracha Shapira, Lior Rokach, Aviram Dayan:
Utilizing transfer learning for in-domain collaborative filtering. Knowl. Based Syst. 107: 70-82 (2016) - [j61]Moran Beladev, Lior Rokach, Bracha Shapira:
Recommender systems for product bundling. Knowl. Based Syst. 111: 193-206 (2016) - [j60]Kim-Kwang Raymond Choo, Lior Rokach, Claudio Bettini:
Mobile security and privacy: Advances, challenges and future research directions. Pervasive Mob. Comput. 32: 1-2 (2016) - [j59]Asaf Shabtai, Maya Bercovitch, Lior Rokach, Ya'akov (Kobi) Gal, Yuval Elovici, Erez Shmueli:
Behavioral Study of Users When Interacting with Active Honeytokens. ACM Trans. Inf. Syst. Secur. 18(3): 9:1-9:21 (2016) - [j58]David Ben-Shimon, Lior Rokach, Guy Shani, Bracha Shapira:
Anytime Algorithms for Recommendation Service Providers. ACM Trans. Intell. Syst. Technol. 7(3): 43:1-43:26 (2016) - [c87]Sigal Shaked, Lior Rokach:
Publishing Differentially Private Medical Events Data. CD-ARES 2016: 219-235 - [c86]Ariel Bar, Bracha Shapira, Lior Rokach, Moshe Unger:
Scalable attack propagation model and algorithms for honeypot systems. IEEE BigData 2016: 1130-1135 - [c85]Yisroel Mirsky, Asaf Shabtai, Lior Rokach, Bracha Shapira, Yuval Elovici:
SherLock vs Moriarty: A Smartphone Dataset for Cybersecurity Research. AISec@CCS 2016: 1-12 - [c84]Hagit Grushka-Cohen, Oded Sofer, Ofer Biller, Bracha Shapira, Lior Rokach:
CyberRank: Knowledge Elicitation for Risk Assessment of Database Security. CIKM 2016: 2009-2012 - [c83]Alexandros Karatzoglou, Balázs Hidasi, Domonkos Tikk, Oren Sar Shalom, Haggai Roitman, Bracha Shapira, Lior Rokach:
RecSys'16 Workshop on Deep Learning for Recommender Systems (DLRS). RecSys 2016: 415-416 - [c82]Moshe Unger, Bracha Shapira, Lior Rokach, Ariel Bar:
Deep Auto-Encoding for Context-Aware Inference of Preferred Items' Categories. RecSys Posters 2016 - [c81]Ariel Bar, Bracha Shapira, Lior Rokach, Moshe Unger:
Identifying Attack Propagation Patterns in Honeypots Using Markov Chains Modeling and Complex Networks Analysis. SwSTE 2016: 28-36 - [e8]Alexandros Karatzoglou, Balázs Hidasi, Domonkos Tikk, Oren Sar Shalom, Haggai Roitman, Bracha Shapira, Lior Rokach:
Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, DLRS@RecSys 2016, Boston, MA, USA, September 15, 2016. ACM 2016, ISBN 978-1-4503-4795-2 [contents] - [i15]Gilad Katz, Lior Rokach:
Wikiometrics: A Wikipedia Based Ranking System. CoRR abs/1601.01058 (2016) - [i14]Victor Makarenkov, Bracha Shapira, Lior Rokach:
Language Models with GloVe Word Embeddings. CoRR abs/1610.03759 (2016) - [i13]Ben Nassi, Lior Rokach, Yuval Elovici:
Virtual Breathalyzer. CoRR abs/1612.05083 (2016) - 2015
- [j57]Daniel Gordon, Danny Hendler, Aryeh Kontorovich, Lior Rokach:
Local-shapelets for fast classification of spectrographic measurements. Expert Syst. Appl. 42(6): 3150-3158 (2015) - [j56]Daniel Gordon, Danny Hendler, Lior Rokach:
Fast and space-efficient shapelets-based time-series classification. Intell. Data Anal. 19(5): 953-981 (2015) - [j55]Nir Ofek, Lior Rokach:
A classifier to determine which Wikipedia biographies will be accepted. J. Assoc. Inf. Sci. Technol. 66(1): 213-218 (2015) - [c80]Dmitri Bekerman, Bracha Shapira, Lior Rokach, Ariel Bar:
Unknown malware detection using network traffic classification. CNS 2015: 134-142 - [c79]David Ben-Shimon, Lior Rokach, Bracha Shapira, Guy Shani:
Fast Item-Based Collaborative Filtering. ICAART (2) 2015: 457-463 - [c78]Victor Makarenkov, Bracha Shapira, Lior Rokach:
Theoretical Categorization of Query Performance Predictors. ICTIR 2015: 369-372 - [c77]Yisroel Mirsky, Bracha Shapira, Lior Rokach, Yuval Elovici:
pcStream: A Stream Clustering Algorithm for Dynamically Detecting and Managing Temporal Contexts. PAKDD (2) 2015: 119-133 - [c76]Moran Beladev, Bracha Shapira, Lior Rokach:
Recommender Systems for Product Bundling. RecSys Posters 2015 - [c75]Nadav Cohen, Adi Gerzi, David Ben-Shimon, Bracha Shapira, Lior Rokach, Michael Friedmann:
In-House Solution for the RecSys Challenge 2015. RecSys Challenge 2015: 10:1-10:4 - [c74]Nofar Dali Betzalel, Bracha Shapira, Lior Rokach:
"Please, Not Now!": A Model for Timing Recommendations. RecSys 2015: 297-300 - [c73]David Ben-Shimon, Alexander Tsikinovsky, Michael Friedmann, Bracha Shapira, Lior Rokach, Johannes Hoerle:
RecSys Challenge 2015 and the YOOCHOOSE Dataset. RecSys 2015: 357-358 - [c72]Yisroel Mirsky, Aviad Cohen, Roni Stern, Ariel Felner, Lior Rokach, Yuval Elovici, Bracha Shapira:
Search Problems in the Domain of Multiplication: Case Study on Anomaly Detection Using Markov Chains. SOCS 2015: 70-77 - [c71]Nir Ofek, Lior Rokach, Cornelia Caragea, John Yen:
The Importance of Pronouns to Sentiment Analysis: Online Cancer Survivor Network Case Study. WWW (Companion Volume) 2015: 83-84 - [e7]David Ben-Shimon, Michael Friedmann, Lior Rokach, Bracha Shapira:
Proceedings of the 2015 International ACM Recommender Systems Challenge, RecSys Challenge 2015, Vienna, Austria, September 16-20, 2015. ACM 2015, ISBN 978-1-4503-3665-9 [contents] - [e6]Francesco Ricci, Lior Rokach, Bracha Shapira:
Recommender Systems Handbook. Springer 2015, ISBN 978-1-4899-7636-9 [contents] - [r4]Francesco Ricci, Lior Rokach, Bracha Shapira:
Recommender Systems: Introduction and Challenges. Recommender Systems Handbook 2015: 1-34 - 2014
- [b6]Haim Dahan, Shahar Cohen, Lior Rokach, Oded Maimon:
Proactive Data Mining with Decision Trees. Springer Briefs in Electrical and Computer Engineering, Springer 2014, ISBN 978-1-4939-0538-6, pp. i-x, 1-88 - [b5]Lior Rokach, Oded Maimon:
Data Mining with Decision Trees - Theory and Applications. 2nd Edition. Series in Machine Perception and Artificial Intelligence 81, WorldScientific 2014, ISBN 978-981-4590-07-5, pp. 1-328 - [j54]Asaf Shabtai, Lena Tenenboim-Chekina, Dudu Mimran, Lior Rokach, Bracha Shapira, Yuval Elovici:
Mobile malware detection through analysis of deviations in application network behavior. Comput. Secur. 43: 1-18 (2014) - [j53]Nir Nissim, Robert Moskovitch, Lior Rokach, Yuval Elovici:
Novel active learning methods for enhanced PC malware detection in windows OS. Expert Syst. Appl. 41(13): 5843-5857 (2014) - [j52]Lior Rokach, Alon Schclar, Ehud Itach:
Ensemble methods for multi-label classification. Expert Syst. Appl. 41(16): 7507-7523 (2014) - [j51]Lihi Naamani Dery, Meir Kalech, Lior Rokach, Bracha Shapira:
Reaching a joint decision with minimal elicitation of voter preferences. Inf. Sci. 278: 466-487 (2014) - [j50]Gilad Katz, Asaf Shabtai, Lior Rokach, Nir Ofek:
ConfDTree: A Statistical Method for Improving Decision Trees. J. Comput. Sci. Technol. 29(3): 392-407 (2014) - [j49]Ma'ayan Dror, Asaf Shabtai, Lior Rokach, Yuval Elovici:
OCCT: A One-Class Clustering Tree for Implementing One-to-Many Data Linkage. IEEE Trans. Knowl. Data Eng. 26(3): 682-697 (2014) - [j48]Ayelet Eyal, Lior Rokach, Meir Kalech, Ofra Amir, Rahul Chougule, Rajkumar Vaidyanathan, Kallappa Pattada:
Survival Analysis of Automobile Components Using Mutually Exclusive Forests. IEEE Trans. Syst. Man Cybern. Syst. 44(2): 246-253 (2014) - [c70]Eliahu Khalastchi, Meir Kalech, Lior Rokach:
A hybrid approach for fault detection in autonomous physical agents. AAMAS 2014: 941-948 - [c69]Nir Ofek, Lior Rokach, Prasenjit Mitra:
Methodology for Connecting Nouns to Their Modifying Adjectives. CICLing (1) 2014: 271-284 - [c68]Nir Ofek, Lior Rokach:
Unsupervised Fine-Grained Sentiment Analysis System Using Lexicons and Concepts. SemWebEval@ESWC 2014: 28-33 - [c67]Soujanya Poria, Nir Ofek, Alexander F. Gelbukh, Amir Hussain, Lior Rokach:
Dependency Tree-Based Rules for Concept-Level Aspect-Based Sentiment Analysis. SemWebEval@ESWC 2014: 41-47 - [c66]Lihi Naamani Dery, Inon Golan, Meir Kalech, Lior Rokach:
Preference Elicitation for Group Decisions. GDN 2014: 193-200 - [c65]Moshe Unger, Lior Rokach, Ariel Bar, Ehud Gudes, Bracha Shapira:
Contexto: lessons learned from mobile context inference. UbiComp Adjunct 2014: 175-178 - [c64]Lihi Naamani Dery, Meir Kalech, Lior Rokach, Bracha Shapira:
Preference elicitation for narrowing the recommended list for groups. RecSys 2014: 333-336 - [c63]Gilad Katz, Anna Shtok, Oren Kurland, Bracha Shapira, Lior Rokach:
Wikipedia-based query performance prediction. SIGIR 2014: 1235-1238 - [p21]Gilad Katz, Asaf Shabtai, Lior Rokach:
Adapted Features and Instance Selection for Improving Co-training. Interactive Knowledge Discovery and Data Mining in Biomedical Informatics 2014: 81-100 - [i12]Yuval Elovici, Lior Rokach:
Reaction to New Security Threat Class. CoRR abs/1406.3110 (2014) - [i11]Olga Peled, Michael Fire, Lior Rokach, Yuval Elovici:
Matching Entities Across Online Social Networks. CoRR abs/1410.6717 (2014) - 2013
- [j47]Liat Antwarg, Talia Lavie, Lior Rokach, Bracha Shapira, Joachim Meyer:
Highlighting items as means of adaptive assistance. Behav. Inf. Technol. 32(8): 761-777 (2013) - [j46]Slava Kisilevich, Daniel A. Keim, Lior Rokach:
A GIS-based decision support system for hotel room rate estimation and temporal price prediction: The hotel brokers' context. Decis. Support Syst. 54(2): 1119-1133 (2013) - [j45]Yael Weiss, Yuval Elovici, Lior Rokach:
The CASH algorithm-cost-sensitive attribute selection using histograms. Inf. Sci. 222: 247-268 (2013) - [j44]Yuval Elovici, Lior Rokach, Sahin Albayrak:
Guest editorial: Special issue on data mining for information security. Inf. Sci. 231: 1-3 (2013) - [j43]Lior Rokach, Prasenjit Mitra:
Parsimonious citer-based measures: The artificial intelligence domain as a case study. J. Assoc. Inf. Sci. Technol. 64(9): 1951-1959 (2013) - [j42]Guy Shani, Lior Rokach, Bracha Shapira, Sarit Hadash, Moran Tangi:
Investigating confidence displays for top-N recommendations. J. Assoc. Inf. Sci. Technol. 64(12): 2548-2563 (2013) - [j41]Lena Chekina, Dan Gutfreund, Aryeh Kontorovich, Lior Rokach, Bracha Shapira:
Exploiting label dependencies for improved sample complexity. Mach. Learn. 91(1): 1-42 (2013) - [j40]Michael Fire, Lena Tenenboim-Chekina, Rami Puzis, Ofrit Lesser, Lior Rokach, Yuval Elovici:
Computationally efficient link prediction in a variety of social networks. ACM Trans. Intell. Syst. Technol. 5(1): 10:1-10:25 (2013) - [j39]Asaf Shabtai, Maya Bercovitch, Lior Rokach, Yuval Elovici:
Optimizing Data Misuse Detection. ACM Trans. Knowl. Discov. Data 8(3): 16:1-16:23 (2013) - [j38]Bracha Shapira, Lior Rokach, Shirley Freilikhman:
Facebook single and cross domain data for recommendation systems. User Model. User Adapt. Interact. 23(2-3): 211-247 (2013) - [c62]Naseem Biadsy, Lior Rokach, Armin Shmilovici:
Transfer Learning for Content-Based Recommender Systems Using Tree Matching. CD-ARES 2013: 387-399 - [c61]Eliahu Khalastchi, Meir Kalech, Lior Rokach:
Sensor fault detection and diagnosis for autonomous systems. AAMAS 2013: 15-22 - [c60]Asaf Shabtai, Idan Morad, Eyal Kolman, Ereli Eran, Alex Vaystikh, Eyal Gruss, Lior Rokach, Yuval Elovici:
IP2User - Identifying the Username of an IP Address in Network-Related Events. BigData Congress 2013: 435-436 - [c59]Ron Begleiter, Yuval Elovici, Yona Hollander, Ori Mendelson, Lior Rokach, Roi Saltzman:
A fast and scalable method for threat detection in large-scale DNS logs. IEEE BigData 2013: 738-741 - [c58]Eitan Menahem, Lior Rokach, Yuval Elovici:
Combining one-class classifiers via meta learning. CIKM 2013: 2435-2440 - [c57]Cornelia Caragea, C. Lee Giles, Lior Rokach, Xiaozhong Liu:
2013 international workshop on computational scientometrics: theory and applications. CIKM 2013: 2545-2546 - [c56]Nir Ofek, Sándor Darányi, Lior Rokach:
Linking Motif Sequences with Tale Types by Machine Learning. CMN 2013: 166-182 - [c55]Lior Rokach, Meir Kalech, Gregory M. Provan, Alexander Feldman:
Machine-Learning-Based Circuit Synthesis. IJCAI 2013: 1635-1641 - [c54]Sagnik Ray Choudhury, Suppawong Tuarob, Prasenjit Mitra, Lior Rokach, Andi Kirk, Silvia Szep, Donald A. Pellegrino, Sue Jones, Clyde Lee Giles:
A figure search engine architecture for a chemistry digital library. JCDL 2013: 369-370 - [c53]Ariel Bar, Lior Rokach, Guy Shani, Bracha Shapira, Alon Schclar:
Improving Simple Collaborative Filtering Models Using Ensemble Methods. MCS 2013: 1-12 - [c52]Lena Tenenboim-Chekina, Lior Rokach, Bracha Shapira:
Ensemble of Feature Chains for Anomaly Detection. MCS 2013: 295-306 - [c51]Ido Blank, Lior Rokach, Guy Shani:
Leveraging the citation graph to recommend keywords. RecSys 2013: 359-362 - [c50]Alexander Ostrikov, Lior Rokach, Bracha Shapira:
Using geospatial metadata to boost collaborative filtering. RecSys 2013: 423-426 - [c49]Lior Rokach, Guy Shani, Bracha Shapira, Eyal Chapnik, Gali Siboni:
Recommending insurance riders. SAC 2013: 253-260 - [c48]Ofrit Lesser, Lena Tenenboim-Chekina, Lior Rokach, Yuval Elovici:
Intruder or Welcome Friend: Inferring Group Membership in Online Social Networks. SBP 2013: 368-376 - [c47]Olga Peled, Michael Fire, Lior Rokach, Yuval Elovici:
Entity Matching in Online Social Networks. SocialCom 2013: 339-344 - [c46]Nir Ofek, Cornelia Caragea, Lior Rokach, Prakhar Biyani, Prasenjit Mitra, John Yen, Kenneth Portier, Greta E. Greer:
Improving Sentiment Analysis in an Online Cancer Survivor Community Using Dynamic Sentiment Lexicon. SOCIETY 2013: 109-113 - [e5]Cornelia Caragea, C. Lee Giles, Lior Rokach, Xiaozhong Liu:
Proceedings of the 2013 workshop on Computational scientometrics: theory & applications, CompSci@CIKM 2013, San Francisco, California, USA, October 28, 2013. ACM 2013, ISBN 978-1-4503-2414-4 [contents] - [i10]Naseem Biadsy, Lior Rokach, Armin Shmilovici:
Transfer Learning for Content-Based Recommender Systems using Tree Matching. CoRR abs/1305.3384 (2013) - [i9]Alon Schclar, Lior Rokach, Amir Amit:
Ensembles of Classifiers based on Dimensionality Reduction. CoRR abs/1305.4345 (2013) - [i8]Lior Rokach, Alon Schclar, Ehud Itach:
Ensemble Methods for Multi-label Classification. CoRR abs/1307.1769 (2013) - 2012
- [b4]Asaf Shabtai, Yuval Elovici, Lior Rokach:
A Survey of Data Leakage Detection and Prevention Solutions. Springer Briefs in Computer Science, Springer 2012, ISBN 978-1-4614-2052-1, pp. i-viii, 1-92 - [j37]Lior Rokach, Alon Schclar:
k-anonymised reducts. Int. J. Granul. Comput. Rough Sets Intell. Syst. 2(3): 196-210 (2012) - [j36]Erez Shmueli, Tamir Tassa, Raz Wasserstein, Bracha Shapira, Lior Rokach:
Limiting disclosure of sensitive data in sequential releases of databases. Inf. Sci. 191: 98-127 (2012) - [j35]Clint Feher, Yuval Elovici, Robert Moskovitch, Lior Rokach, Alon Schclar:
User identity verification via mouse dynamics. Inf. Sci. 201: 19-36 (2012) - [j34]Lior Rokach:
Applying the Publication Power Approach to Artificial Intelligence Journals. J. Assoc. Inf. Sci. Technol. 63(6): 1270-1277 (2012) - [j33]Lior Rokach, Dan Hutter:
Automatic discovery of the root causes for quality drift in high dimensionality manufacturing processes. J. Intell. Manuf. 23(5): 1915-1930 (2012) - [j32]Gil Tahan, Lior Rokach, Yuval Shahar:
Mal-ID: Automatic Malware Detection Using Common Segment Analysis and Meta-Features. J. Mach. Learn. Res. 13: 949-979 (2012) - [j31]Nir Nissim, Robert Moskovitch, Lior Rokach, Yuval Elovici:
Detecting unknown computer worm activity via support vector machines and active learning. Pattern Anal. Appl. 15(4): 459-475 (2012) - [j30]Amir Harel, Asaf Shabtai, Lior Rokach, Yuval Elovici:
M-Score: A Misuseability Weight Measure. IEEE Trans. Dependable Secur. Comput. 9(3): 414-428 (2012) - [j29]Liat Antwarg, Lior Rokach, Bracha Shapira:
Attribute-Driven Hidden Markov Model Trees for Intention Prediction. IEEE Trans. Syst. Man Cybern. Part C 42(6): 1103-1119 (2012) - [j28]Alon Schclar, Lior Rokach, Adi Abramson, Yuval Elovici:
User Authentication Based on Representative Users. IEEE Trans. Syst. Man Cybern. Part C 42(6): 1669-1678 (2012) - [j27]Lior Rokach, Slava Kisilevich:
Initial Profile Generation in Recommender Systems Using Pairwise Comparison. IEEE Trans. Syst. Man Cybern. Part C 42(6): 1854-1859 (2012) - [c45]Michael Fire, Gilad Katz, Yuval Elovici, Bracha Shapira, Lior Rokach:
Predicting Student Exam's Scores by Analyzing Social Network Data. AMT 2012: 584-595 - [c44]Orly Moreno, Bracha Shapira, Lior Rokach, Guy Shani:
TALMUD: transfer learning for multiple domains. CIKM 2012: 425-434 - [c43]Wenyi Huang, Saurabh Kataria, Cornelia Caragea, Prasenjit Mitra, C. Lee Giles, Lior Rokach:
Recommending citations: translating papers into references. CIKM 2012: 1910-1914 - [c42]Lena Chekina, Lior Rokach, Bracha Shapira:
Introducing diversity among the models of multi-label classification ensemble. ESANN 2012 - [c41]Aníbal R. Figueiras-Vidal, Lior Rokach:
An Exploration of Research Directions in Machine Ensemble Theory and Applications. ESANN 2012 - [c40]Gilad Katz, Asaf Shabtai, Lior Rokach, Nir Ofek:
ConfDTree: Improving Decision Trees Using Confidence Intervals. ICDM 2012: 339-348 - [c39]Alon Schclar, Lior Rokach, Amir Amit:
Diffusion Ensemble Classifiers. IJCCI 2012: 443-450 - [i7]Lena Chekina, Dudu Mimran, Lior Rokach, Yuval Elovici, Bracha Shapira:
Detection of Deviations in Mobile Applications Network Behavior. CoRR abs/1208.0564 (2012) - [i6]Eitan Menahem, Alon Schclar, Lior Rokach, Yuval Elovici:
Securing Your Transactions: Detecting Anomalous Patterns In XML Documents. CoRR abs/1209.1797 (2012) - [i5]Daniel Gordon, Danny Hendler, Lior Rokach:
Fast Randomized Model Generation for Shapelet-Based Time Series Classification. CoRR abs/1209.5038 (2012) - [i4]Ariel Bar, Lior Rokach, Guy Shani, Bracha Shapira, Alon Schclar:
Boosting Simple Collaborative Filtering Models Using Ensemble Methods. CoRR abs/1211.2891 (2012) - [i3]Gilad Katz, Guy Shani, Bracha Shapira, Lior Rokach:
Using Wikipedia to Boost SVD Recommender Systems. CoRR abs/1212.1131 (2012) - [i2]Yehonatan Bitton, Michael Fire, Dima Kagan, Bracha Shapira, Lior Rokach, Judit Bar-Ilan:
Social Network Based Search for Experts. CoRR abs/1212.3540 (2012) - 2011
- [j26]Lior Rokach, Meir Kalech, Ido Blank, Rami Stern:
Who is going to win the next Association for the Advancement of Artificial Intelligence Fellowship Award? Evaluating researchers by mining bibliographic data. J. Assoc. Inf. Sci. Technol. 62(12): 2456-2470 (2011) - [c38]Ma'ayan Gafny, Asaf Shabtai, Lior Rokach, Yuval Elovici:
Poster: applying unsupervised context-based analysis for detecting unauthorized data disclosure. CCS 2011: 765-768 - [c37]Lena Chekina, Lior Rokach, Bracha Shapira:
Meta-learning for Selecting a Multi-label Classification Algorithm. ICDM Workshops 2011: 220-227 - [c36]Slava Kisilevich, Daniel A. Keim, Roman Byshko, Michael Tsibelman, Lior Rokach:
Developing a Price Management Decision Support System for Hotel Brokers using Free and Open Source Tools. ICEIS (2) 2011: 147-156 - [c35]Ori Ossmy, Ofir Tam, Rami Puzis, Lior Rokach, Ohad Inbar, Yuval Elovici:
MindDesktop - Computer Accessibility for Severely Handicapped. ICEIS (4) 2011: 316-320 - [c34]Lior Rokach, Karl-Heinz Lüke, Aykan Aydin, Roland Schwaiger:
Recommenders Benchmark Framework. IICS 2011: 115-126 - [c33]Maya Bercovitch, Meir Renford, Lior Hasson, Asaf Shabtai, Lior Rokach, Yuval Elovici:
HoneyGen: An automated honeytokens generator. ISI 2011: 131-136 - [c32]Amir Harel, Asaf Shabtai, Lior Rokach, Yuval Elovici:
Dynamic Sensitivity-Based Access Control. ISI 2011: 201-203 - [c31]Amir Harel, Asaf Shabtai, Lior Rokach, Yuval Elovici:
Eliciting domain expert misuseability conceptions. K-CAP 2011: 193-194 - [c30]Gilad Katz, Nir Ofek, Bracha Shapira, Lior Rokach, Guy Shani:
Using Wikipedia to boost collaborative filtering techniques. RecSys 2011: 285-288 - [c29]Aviram Dayan, Guy Katz, Naseem Biasdi, Lior Rokach, Bracha Shapira, Aykan Aydin, Roland Schwaiger, Radmila Fishel:
Recommenders benchmark framework. RecSys 2011: 353-354 - [c28]Michael Fire, Lena Tenenboim, Ofrit Lesser, Rami Puzis, Lior Rokach, Yuval Elovici:
Link Prediction in Social Networks Using Computationally Efficient Topological Features. SocialCom/PASSAT 2011: 73-80 - [p20]Francesco Ricci, Lior Rokach, Bracha Shapira:
Introduction to Recommender Systems Handbook. Recommender Systems Handbook 2011: 1-35 - [e4]Francesco Ricci, Lior Rokach, Bracha Shapira, Paul B. Kantor:
Recommender Systems Handbook. Springer 2011, ISBN 978-0-387-85819-7 [contents] - [i1]Eitan Menahem, Lior Rokach, Yuval Elovici:
Combining One-Class Classifiers via Meta-Learning. CoRR abs/1112.5246 (2011) - 2010
- [j25]Lior Rokach:
Ensemble-based classifiers. Artif. Intell. Rev. 33(1-2): 1-39 (2010) - [j24]Nissim Matatov, Lior Rokach, Oded Maimon:
Privacy-preserving data mining: A feature set partitioning approach. Inf. Sci. 180(14): 2696-2720 (2010) - [j23]Slava Kisilevich, Lior Rokach, Yuval Elovici, Bracha Shapira:
Efficient Multidimensional Suppression for K-Anonymity. IEEE Trans. Knowl. Data Eng. 22(3): 334-347 (2010) - [j22]Gil Tahan, Chanan Glezer, Yuval Elovici, Lior Rokach:
Auto-Sign: an automatic signature generator for high-speed malware filtering devices. J. Comput. Virol. 6(2): 91-103 (2010) - [c27]Slava Kisilevich, Daniel A. Keim, Lior Rokach:
A Novel Approach to Mining Travel Sequences Using Collections of Geotagged Photos. AGILE Conf. 2010: 163-182 - [c26]Ma'ayan Gafny, Asaf Shabtai, Lior Rokach, Yuval Elovici:
Detecting data misuse by applying context-based data linkage. Insider Threats@CCS 2010: 3-12 - [c25]Amir Harel, Asaf Shabtai, Lior Rokach, Yuval Elovici:
M-score: estimating the potential damage of data leakage incident by assigning misuseability weight. Insider Threats@CCS 2010: 13-20 - [c24]Tomer Shimshon, Robert Moskovitch, Lior Rokach, Yuval Elovici:
Continuous Verification Using Keystroke Dynamics. CIS 2010: 411-415 - [c23]Lior Rokach, Alon Schclar:
k-Anonymized Reducts. GrC 2010: 392-395 - [c22]Slava Kisilevich, Daniel A. Keim, Lior Rokach:
GEO-SPADE - A Generic Google Earth-based Framework for Analyzing and Exploring Spatio-temporal Data. ICEIS (5) 2010: 13-20 - [c21]Slava Kisilevich, Daniel A. Keim, Amit Lasry, Leon Bam, Lior Rokach:
Developing Analytical GIS Applications with GEO-SPADE: Three Success Case Studies. ICEIS 2010: 495-511 - [c20]Amir Gershman, Amnon Meisels, Karl-Heinz Lüke, Lior Rokach, Alon Schclar, Arnon Sturm:
A Decision Tree Based Recommender System. IICS 2010: 170-179 - [c19]Yael Weiss, Yuval Fledel, Yuval Elovici, Lior Rokach:
Cost-Sensitive Detection of Malicious Applications in Mobile Devices. MobiCASE 2010: 382-395 - [c18]Lihi Naamani Dery, Meir Kalech, Lior Rokach, Bracha Shapira:
Iterative voting under uncertainty for group recommender systems. RecSys 2010: 265-268 - [c17]Polina Zilberman, Asaf Shabtai, Lior Rokach:
Analyzing Group Communication for Preventing Accidental Data Leakage via Email. CollSec 2010 - [p19]Oded Maimon, Lior Rokach:
Introduction to Knowledge Discovery and Data Mining. Data Mining and Knowledge Discovery Handbook 2010: 1-15 - [p18]Lior Rokach, Oded Maimon:
Supervised Learning. Data Mining and Knowledge Discovery Handbook 2010: 133-147 - [p17]Lior Rokach, Oded Maimon:
Classification Trees. Data Mining and Knowledge Discovery Handbook 2010: 149-174 - [p16]Lior Rokach:
A survey of Clustering Algorithms. Data Mining and Knowledge Discovery Handbook 2010: 269-298 - [p15]Lior Rokach:
Using Fuzzy Logic in Data Mining. Data Mining and Knowledge Discovery Handbook 2010: 505-520 - [p14]Lior Rokach:
Ensemble Methods in Supervised Learning. Data Mining and Knowledge Discovery Handbook 2010: 959-979 - [p13]Lior Rokach, Oded Maimon:
Data Mining using Decomposition Methods. Data Mining and Knowledge Discovery Handbook 2010: 981-998 - [e3]Oded Maimon, Lior Rokach:
Data Mining and Knowledge Discovery Handbook, 2nd ed. Springer 2010, ISBN 978-0-387-09822-7 [contents]
2000 – 2009
- 2009
- [b3]Lior Rokach:
Pattern Classification Using Ensemble Methods. Series in Machine Perception and Artificial Intelligence 75, WorldScientific 2009, ISBN 978-981-4271-06-6, pp. 1-244 - [j21]Lior Rokach, Lihi Naamani, Armin Shmilovici:
Active learning using pessimistic expectation estimators. Control. Cybern. 38(1): 261-280 (2009) - [j20]Lior Rokach:
Collective-agreement-based pruning of ensembles. Comput. Stat. Data Anal. 53(4): 1015-1026 (2009) - [j19]Eitan Menahem, Asaf Shabtai, Lior Rokach, Yuval Elovici:
Improving malware detection by applying multi-inducer ensemble. Comput. Stat. Data Anal. 53(4): 1483-1494 (2009) - [j18]Lior Rokach:
Taxonomy for characterizing ensemble methods in classification tasks: A review and annotated bibliography. Comput. Stat. Data Anal. 53(12): 4046-4072 (2009) - [j17]Eitan Menahem, Lior Rokach, Yuval Elovici:
Troika - An improved stacking schema for classification tasks. Inf. Sci. 179(24): 4097-4122 (2009) - [c16]Alon Schclar, Lior Rokach:
Random Projection Ensemble Classifiers. ICEIS 2009: 309-316 - [c15]Robert Moskovitch, Clint Feher, Arik Messerman, Niklas Kirschnick, Tarik Mustafic, Seyit Ahmet Çamtepe, Bernhard Löhlein, Ulrich Heister, Sebastian Möller, Lior Rokach, Yuval Elovici:
Identity theft, computers and behavioral biometrics. ISI 2009: 155-160 - [c14]Alon Schclar, Alexander Tsikinovsky, Lior Rokach, Amnon Meisels, Liat Antwarg:
Ensemble methods for improving the performance of neighborhood-based collaborative filtering. RecSys 2009: 261-264 - [p12]Lior Rokach, Yuval Elovici:
An Overview of IDS Using Anomaly Detection. Database Technologies: Concepts, Methodologies, Tools, and Applications 2009: 384-394 - [r3]Lior Rokach:
Incorporating Fuzzy Logic in Data Mining Tasks. Encyclopedia of Artificial Intelligence 2009: 884-891 - [r2]Lior Rokach:
Data Mining for Improving Manufacturing Processes. Encyclopedia of Data Warehousing and Mining 2009: 417-423 - [r1]Barak Chizi, Lior Rokach, Oded Maimon:
A Survey of Feature Selection Techniques. Encyclopedia of Data Warehousing and Mining 2009: 1888-1895 - 2008
- [j16]Robert Moskovitch, Yuval Elovici, Lior Rokach:
Detection of unknown computer worms based on behavioral classification of the host. Comput. Stat. Data Anal. 52(9): 4544-4566 (2008) - [j15]Lior Rokach, Lihi Naamani, Armin Shmilovici:
Pessimistic cost-sensitive active learning of decision trees for profit maximizing targeting campaigns. Data Min. Knowl. Discov. 17(2): 283-316 (2008) - [j14]Lior Rokach:
An evolutionary algorithm for constructing a decision forest: Combining the classification of disjoints decision trees. Int. J. Intell. Syst. 23(4): 455-482 (2008) - [j13]Lior Rokach:
Mining manufacturing data using genetic algorithm-based feature set decomposition. Int. J. Intell. Syst. Technol. Appl. 4(1/2): 57-78 (2008) - [j12]Lior Rokach, Roni Romano, Oded Maimon:
Negation recognition in medical narrative reports. Inf. Retr. 11(6): 499-538 (2008) - [j11]Lior Rokach, Roni Romano, Oded Maimon:
Mining manufacturing databases to discover the effect of operation sequence on the product quality. J. Intell. Manuf. 19(3): 313-325 (2008) - [j10]Lior Rokach:
Genetic algorithm-based feature set partitioning for classification problems. Pattern Recognit. 41(5): 1676-1700 (2008) - [c13]Lior Rokach, Amnon Meisels, Alon Schclar:
Anytime AHP Method for Preferences Elicitation in Stereotype-Based Recommender System. ICEIS (2) 2008: 268-275 - [c12]Slava Kisilevich, Yuval Elovici, Bracha Shapira, Lior Rokach:
kACTUS 2: Privacy Preserving in Classification Tasks Using k-Anonymity. ISIPS 2008: 63-81 - [p11]Oded Maimon, Lior Rokach:
Introduction to Soft Computing for Knowledge Discovery and Data Mining. Soft Computing for Knowledge Discovery and Data Mining 2008: 1-13 - [p10]Lior Rokach:
The Role of Fuzzy Sets in Data Mining. Soft Computing for Knowledge Discovery and Data Mining 2008: 187-203 - [e2]Oded Maimon, Lior Rokach:
Soft Computing for Knowledge Discovery and Data Mining. Springer 2008, ISBN 978-0-387-69934-9 [contents] - 2007
- [b2]Lior Rokach, Oded Maimon:
Data Mining with Decision Trees - Theory and Applications. Series in Machine Perception and Artificial Intelligence 69, WorldScientific 2007, ISBN 978-981-277-171-1, pp. 1-264 - [j9]Lior Rokach, Barak Chizi, Oded Maimon:
A Methodology for Improving the Performance of Non-Ranker Feature Selection Filters. Int. J. Pattern Recognit. Artif. Intell. 21(5): 809-830 (2007) - [j8]Shahar Cohen, Lior Rokach, Oded Maimon:
Decision-tree instance-space decomposition with grouped gain-ratio. Inf. Sci. 177(17): 3592-3612 (2007) - [c11]David Ben-Shimon, Alexander Tsikinovsky, Lior Rokach, Amnon Meisels, Guy Shani, Lihi Naamani:
Recommender System from Personal Social Networks. AWIC 2007: 47-55 - [c10]Guy Shani, Lior Rokach, Amnon Meisels, Lihi Naamani, Nischal M. Piratla, David Ben-Shimon:
Establishing User Profiles in the MediaScout Recommender System. CIDM 2007: 470-476 - 2006
- [j7]Lior Rokach, Oded Maimon, Reuven Arbel:
Selective Voting - Getting More for Less in Sensor Fusion. Int. J. Pattern Recognit. Artif. Intell. 20(3): 329-350 (2006) - [j6]Lior Rokach, Oded Maimon:
Data Mining for Improving the Quality of Manufacturing: A Feature Set Decomposition Approach. J. Intell. Manuf. 17(3): 285-299 (2006) - [j5]Lior Rokach:
Decomposition methodology for classification tasks: a meta decomposer framework. Pattern Anal. Appl. 9(2-3): 257-271 (2006) - [j4]Reuven Arbel, Lior Rokach:
Classifier evaluation under limited resources. Pattern Recognit. Lett. 27(14): 1619-1631 (2006) - [c9]Roni Romano, Lior Rokach, Oded Maimon:
Cascaded Data Mining Methods for Text Understanding, with medical case study. ICDM Workshops 2006: 458-462 - [c8]Lior Rokach, Roni Romano, Oded Maimon:
Automatic Identification of Negated Concepts in Narrative Clinical Reports. ICEIS (2) 2006: 257-262 - [c7]Roni Romano, Lior Rokach, Oded Maimon:
Automatic Discovery of Regular Expression Patterns Representing Negated Findings in Medical Narrative Reports. NGITS 2006: 300-311 - [p9]Lior Rokach, Roni Romano, Barak Chizi, Oded Maimon:
A Decision Tree Framework for Semi-Automatic Extraction of Product Attributes from the Web. Advances in Web Intelligence and Data Mining 2006: 201-210 - [p8]Shahar Cohen, Lior Rokach, Oded Maimon:
A Decision-Tree Framework for Instance-space Decomposition. Advances in Web Intelligence and Data Mining 2006: 265-274 - [p7]Lior Rokach, Barak Chizi, Oded Maimon:
Feature Selection by Combining Multiple Methods. Advances in Web Intelligence and Data Mining 2006: 295-304 - 2005
- [b1]Oded Maimon, Lior Rokach:
Decomposition Methodology for Knowledge Discovery and Data Mining - Theory and Applications. Series in Machine Perception and Artificial Intelligence 61, WorldScientific 2005, ISBN 978-981-256-079-7, pp. 1-344 - [j3]Lior Rokach, Oded Maimon:
Feature set decomposition for decision trees. Intell. Data Anal. 9(2): 131-158 (2005) - [j2]Lior Rokach, Oded Maimon, Omri Arad:
Improving Supervised Learning by Sample Decomposition. Int. J. Comput. Intell. Appl. 5(1): 37-54 (2005) - [j1]Lior Rokach, Oded Maimon:
Top-down induction of decision trees classifiers - a survey. IEEE Trans. Syst. Man Cybern. Part C 35(4): 476-487 (2005) - [c6]Lior Rokach, Oded Maimon:
Decomposition methodology for classification tasks. GrC 2005: 636-641 - [p6]Oded Maimon, Lior Rokach:
Introduction to Knowledge Discovery in Databases. The Data Mining and Knowledge Discovery Handbook 2005: 1-17 - [p5]Oded Maimon, Lior Rokach:
Introduction to Supervised Methods. The Data Mining and Knowledge Discovery Handbook 2005: 149-164 - [p4]Lior Rokach, Oded Maimon:
Decision Trees. The Data Mining and Knowledge Discovery Handbook 2005: 165-192 - [p3]Lior Rokach, Oded Maimon:
Clustering Methods. The Data Mining and Knowledge Discovery Handbook 2005: 321-352 - [p2]Lior Rokach:
Ensemble Methods for Classifiers. The Data Mining and Knowledge Discovery Handbook 2005: 957-980 - [p1]Oded Maimon, Lior Rokach:
Decomposition Methodology for Knowledge Discovery and Data Mining. The Data Mining and Knowledge Discovery Handbook 2005: 981-1003 - [e1]Oded Maimon, Lior Rokach:
The Data Mining and Knowledge Discovery Handbook. Springer 2005, ISBN 0-387-24435-2 [contents] - 2004
- [c5]Lior Rokach, Oded Maimon, Mordechai Averbuch:
Information Retrieval System for Medical Narrative Reports. FQAS 2004: 217-228 - [c4]Mordechai Averbuch, Tom H. Karson, Benjamin Ben-Ami, Oded Maimon, Lior Rokach:
Context-Sensitive Medical Information Retrieval. MedInfo 2004: 282-286 - 2003
- [c3]Lior Rokach, Oded Maimon, Inbal Lavi:
Space Decomposition in Data Mining: A Clustering Approach. ISMIS 2003: 24-31 - 2002
- [c2]Oded Maimon, Lior Rokach:
Improving Supervised Learning by Feature Decomposition. FoIKS 2002: 178-196 - 2001
- [c1]Lior Rokach, Oded Maimon:
Theory and Applications of Attribute Decomposition. ICDM 2001: 473-480
Coauthor Index
[j119] [j116] [j110] [c113] [c111] [i50] [c110] [i44] [i37] [j92] [j90] [j89] [i34] [c96] [i21] [j74] [c90] [i19] [i18] [j70] [j68] [j66] [j64] [j59] [c85] [i13] [c77] [c72] [j54] [j53] [j49] [i12] [i11] [j45] [j44] [j40] [j39] [c60] [c59] [c58] [c48] [c47] [b4] [j35] [j31] [j30] [j28] [c45] [i7] [i6] [c38] [c35] [c33] [c32] [c31] [c28] [i1] [j23] [j22] [c26] [c25] [c24] [c19] [j19] [j17] [c15] [p12] [j16] [c12]
[c122] [i65] [i64] [i63] [i62] [i61] [c120] [j132] [j131] [j129] [j127] [j126] [j125] [c118] [i55] [j123] [j122] [j120] [j118] [j117] [j113] [c117] [c116] [e9] [r5] [i52] [j107] [j104] [j100] [c115] [i49] [c106] [c104] [c103] [i48] [i46] [i43] [i42] [i41] [j88] [j86] [j85] [c102] [i36] [i35] [i33] [i32] [i31] [i30] [i28] [i27] [i26] [i25] [i24] [j81] [c100] [c99] [c98] [c97] [c95] [c94] [i20] [j76] [j74] [c89] [c88] [i17] [i16] [j71] [j69] [j63] [j62] [j61] [j58] [c86] [c85] [c84] [c83] [c82] [c81] [e8] [i14] [c80] [c79] [c78] [c77] [c76] [c75] [c74] [c73] [c72] [e7] [e6] [r4] [j54] [j51] [c65] [c64] [c63] [j47] [j42] [j41] [j38] [c53] [c52] [c50] [c49] [j36] [j29] [c45] [c44] [c42] [i7] [i4] [i3] [i2] [c37] [c30] [c29] [p20] [e4] [j23] [c18] [c12]
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