M. Last (2022). “Towards the global equilibrium of COVID-19: Statistical analysis of country-level data", Health Science Reports, Vol. 5, No. 3. e592, April 2022. https://doi.org/10.1002/hsr2.592
L. Miao, M.
Last, M. Litvak (2022). “Tracking social media during the COVID-19 pandemic:
The case study of lockdown in New York State”, Expert Systems with
Applications, Vol. 187, January 2022, https://doi.org/10.1016/j.eswa.2021.115797
A. Fried and M. Last (2021). "Facing airborne attacks on ADS-B data with autoencoders", Computers & Security, Volume 109, 2021, https://doi.org/10.1016/j.cose.2021.102405 S. R. Kannan, E. Kashyap, M. Last & T.-P. Hong (2021). “Penalty Term Based Suitable Fuzzy Intuitionistic Possibilistic Clustering: Analyzing High Dimensional Gene Expression Cancer Database”, Soft Computing. Vol 25, pp. 9839–9857. https://doi.org/10.1007/s00500-020-05321-9
M. Last (2020). “The first wave of COVID-19 in Israel—Initial analysis of publicly available data", PLOS ONE 15(10): e0240393. https://doi.org/10.1371/journal.pone.0240393
M. Last and G. Danon (2020). "Automatic Question Generation", WIREs Data Mining and Knowledge Discovery, Vol. 10, No. 6, pp. e1382, https://doi.org/10.1002/widm.1382
Ch. Liu, A. Shmilovici, and M. Last (2020). "Towards Story-Based Classification of Movie Scenes", PLOS ONE 15(2): e0228579. https://doi.org/10.1371/journal.pone.0228579
N. Vanetik, M. Litvak, M. Last, and E. Churkin (2020). “An Unsupervised Constrained Optimization Approach to Compressive Summarization", Information Sciences, Vol. 509, pp. 22-35. https://www.sciencedirect.com/science/article/pii/S0020025516312506
A. Weinberg and M. Last (2019). "Selecting a Representative Decision Tree from an Ensemble of Decision-Tree Models for Fast Big Data Classification", Journal of Big Data 6:23. Published on: 28 February 2019. https://doi.org/10.1186/s40537-019-0186-3.
Ch. Liu, M. Last, and A. Shmilovici (2019). “Identifying Turning Points in Animated Cartoons”. Expert Systems with Applications. Available online: 15 January 2019. https://doi.org/10.1016/j.eswa.2019.01.003.
S. R. Kannan, M. Siva, R. Devi, S. Ramathilagam, and M. Last (2019). "Effective Kernel-Based Possibilistic Fuzzy Clustering Techniques: Analyzing Cancer Database". Data-Enabled Discovery and Applications, Vol. 3, No. 1. https://doi.org/10.1007/s41688-018-0026-1
A. Rosenfeld, R. Illuz, D. Gottesman, and M. Last (2018). “Using Discretization for Extending the Set of Predictive Features". EURASIP Journal on Advances in Signal Processing. https://doi.org/10.1186/s13634-018-0528-x.
D. Alberg and M. Last (2018). "Short-Term Load Forecasting in Smart Meters with Sliding Window-Based ARIMA Algorithms". Vietnam Journal of Computer Science, https://doi.org/10.1007/s40595-018-0119-7. September 2018, Volume 5, Issue 3–4, pp 241–249.
A. Weinberg and M. Last (2017). "Interpretable Decision-Tree Induction in Big Data Parallel Framework", International Journal of Applied Mathematics and Computer Science (AMCS), Vol. 27, No. 4, pp. 737–748.
N. Eyal, M. Last, and E. Rubin (2017). "PCM-SABRE: A platform for benchmarking and comparing outcome prediction methods in precision cancer medicine", BMC Bioinformatics, Vol. 18, No. 1, p. 40.
D. Alberg and M. Last (2016). "INPRET - The Interval Prediction Tree Algorithm for Temporal Numerical Data", Intelligent Decision Technologies, vol. 10, pp. 407–418. DOI: 10.3233/IDT-160267.
M. Last, O. Tosas, T. G. Cassarino, Z. Kozlakidis, and J. Edgeworth (2016). "Evolving classification of intensive care patients from event data", Artificial Intelligence in Medicine, Vol. 69, May 2016, pp. 22-32, http://dx.doi.org/10.1016/j.artmed.2016.04.001.
M. Last, N. Rabinowitz, and G. Leonard (2016). "Predicting the Maximum Earthquake Magnitude from Seismic Data in Israel and Its Neighboring Countries", PLoS ONE 11(1): e0146101. doi: 10.1371/journal.pone.0146101.
B. Rabinovich and M. Last (2014, October - December). "A Scalable Algorithm for One-To-One, Onto, and Partial Schema Matching with Uninterpreted Column Names and Column Values", Journal of Database Management (JDM), Volume 25, Issue 4 (2014): 1-16.
G. Krempl, I. Žliobaite, D. Brzeziński, E. Hüllermeier, M. Last, V. Lemaire, T. Noack, A. Shaker, S. Sievi, M. Spiliopoulou, J. Stefanowski (2014, June). “Open Challenges for Data Stream Mining Research", ACM SIGKDD Explorations Newsletter, Volume 16, Issue 1, pages 1--10.
M. Last, T. Tassa, and A. Zhmudyak (2014). “Improving Accuracy of Classification Models Induced from Anonymized Datasets", Information Sciences, Vol. 256, pp. 138–161.
M. Last and M. Roizman (2013). "Avoiding the Look-Ahead Pathology of Decision Tree Learning", International Journal of Intelligent Systems, Vol. 28, Issue 10, pp. 974 – 987.
Y. Neuman, D. Assaf, Y. Cohen, M. Last, Sh. Argamon, N. Howard, O. Frieder (2013). "Metaphor Identification in Large Texts Corpora", PLoS ONE 8(4): e62343. doi:10.1371/journal.pone.0062343.
M. Litvak and M. Last (2013). “Cross-lingual training of summarization systems using annotated corpora in a foreign language" Information Retrieval, Volume 16, Issue 5, pp 629-656.
M. Litvak, M. Last, and A. Kandel (2013). "DegExt - A Language-Independent Keyphrase Extractor", Journal of Ambient Intelligence and Humanized Computing (JAIHC), June 2013, Volume 4, Issue 3, pp. 377-387.
D. Agarwal, D. E. Tamir, M. Last, and A. Kandel (2012). “A Comparative Study of Artificial Neural Networks and Info-Fuzzy Networks as Automated Oracles in Software Testing", IEEE Transactions on Systems, Man and Cybernetics, Part A, Vol. 42, No. 5, Sept. 2012, pp.1183-1193.
D. Alberg, M. Last, and A. Kandel (2012). "Knowledge discovery in data streams with regression tree methods", Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Volume 2, Issue 1, pp. 69–78.
S. Kisilevich, Ch. S. Ang, and M. Last (2012). "Large-scale analysis of self-disclosure patterns among online social networks users: a Russian context", Knowledge and Information Systems Journal, Vol. 32, No. 3, pp. 609-628.
D. Prilutsky, E. Shneider, A. Shefer, B. Rogachev, L. Lobel, M. Last, R. Marks (2011). "Differentiation between viral and bacterial acute infections using chemiluminescent signatures of circulating phagocytes", Analytical Chemistry, 83 (11), pp 4258–4265.
D. Prilutsky, B. Rogachev, R. S. Marks, L. Lobel, M. Last (2011). “Classification of infectious diseases based on chemiluminescent signatures of phagocytes in whole blood", Artificial Intelligence in Medicine, Vol. 52, Issue 3, pp. 153-163.
M. Last, G. Avrahami, and A. Kandel (2011). “Using Data Mining Techniques for Optimizing Traffic Signal Plans at an Urban Intersection", International Journal of Intelligent Systems, Vol. 26, Issue 7, pp. 603–620.
M. Last, A. Sinaiski, and H. S. Subramania (2011). "Condition-based Maintenance with Multi-Target Classification Models", New Generation Computing, Special Issue on Hybrid and Ensemble Methods in Machine Learning, Vol. 29, No. 3, pp. 245-260.
Y. Elovici, B. Shapira, M. Last, O. Zaafrany, M. Friedman, M. Schneider, and A. Kandel (2010). “Detection of Access to Terror-Related Web Sites Using an Advanced Terror Detection System (ATDS)", Journal of the American Society for Information Science and Technology (JASIST), Vol. 61 Issue 2, pp. 405 – 418.
M. Last, G. Danon, Sh. Biderman, E. Miron (2009). “Optimizing a Batch Manufacturing Process through Interpretable Data Mining Models", Journal of Intelligent Manufacturing, Volume 20, Number 5, pp. 523-534.
D. Prilutsky, B. Rogachev, M. Vorobiov, M. Zlotnik, M. Last, L. Lobel, R. S Marks (2008). “Dynamic Component Chemiluminescent Sensor for Assessing Circulating Polymorphonuclear Leukocyte Activity of Peritoneal Dialysis Patients", Analytical Chemistry, Vol. 80, No. 13, pp. 5131-5138.
A. Markov, M. Last, and A. Kandel (2008). “The Hybrid Representation Model for Web Document Classification", International Journal of Intelligent Systems, Vol. 23, No. 6, pp. 654-679.
L. Cohen, G. Avrahami, M. Last, and A. Kandel (2008b). "Info-Fuzzy Algorithms for Mining Dynamic Data Streams", Applied Soft Computing, Special Issue on Soft Computing for Dynamic Data Mining, Vol. 8, Issue 4, pp. 1283–1294.
L. Cohen, G. Avrahami, M. Last, A. Kandel, and O. Kipersztok (2008a). “Real-Time Data Mining of Non-Stationary Data Streams from Sensor Networks", Information Fusion, Special Issue on Distributed Sensor Networks, Vol. 9, Issue 3, pp. 344-353.
A. Engel and M. Last (2007). “Modeling software testing costs and risks using fuzzy logic paradigm", Journal of Systems and Software, Vol. 80, pp. 817–835.
D. Braha, Y. Elovici, and M. Last (2007). "Theory of Actionable Data Mining with Application to Semiconductor Manufacturing Control", International Journal of Production Research, Vol. 45, No. 13, pp. 3059–3084.
M. Friedman, M. Last, Y. Makover, and A. Kandel (2007). "Anomaly Detection in Web Documents using Crisp and Fuzzy-based Cosine Clustering Methodology", Information Sciences, Special Issue on Advances in Fuzzy Logic, Vol. 177, Issue 2, pp. 467–475.
M. Sh. Levin and M. Last (2006). “Design of test inputs and their sequences in multi-function system testing", Applied Intelligence, Vol. 25, No. 1, pp. 107–126.
Z. Reynolds, H. Bunke, M. Last, and A. Kandel (2006). "Comparing Representative Selection Strategies for Dissimilarity Representations", International Journal of Intelligent Systems Vol. 21, No. 10, pp. 1093-1109.
Ch. Glezer, M. Last, E. Nahmani , P. Shoval (2005). "Quality and Comprehension of UML Interaction Diagrams – an Experimental Comparison", Information & Software Technology, Vol. 47, pp. 675-692.
A. Schenker, M. Last, and A. Kandel (2005). “Design and Implementation of a Web Mining System for Organizing Search Engine Results", International Journal of Intelligent Systems, Vol. 20, No. 6, pp. 607-625.
A. Cohen, E. Korach, M. Last and R. Ohayon (2005). "A Fuzzy-Based Path Ordering Algorithm for QoS Routing in Non-Deterministic Communication Networks", Fuzzy Sets and Systems, Vol. 150, Issue 3, pp. 401–417.
M. Last and S. Eyal (2005). “A Fuzzy-Based Lifetime Extension of Genetic Algorithms", Fuzzy Sets and Systems, Vol. 149, Issue 1, pp. 131-147, Special Issue on Fuzzy Sets in Knowledge Discovery.
M. Last, M. Friedman, and A. Kandel (2004). “Using Data Mining for Automated Software Testing", International Journal of Software Engineering and Knowledge Engineering (IJSEKE), Special Issue on Data Mining for Software Engineering and Knowledge Engineering, Vol. 14, No. 4, pp. 369-393.
S. Dick, A. Meeks, M. Last, H. Bunke, A. Kandel (2004). “Data Mining in Software Metrics Databases", Fuzzy Sets and Systems, Vol. 145, Issue 1, pp. 81-110.
Y. Elovici, A. Kandel, M. Last, B. Shapira, O. Zaafrany (2004). “Using Data Mining Techniques for Detecting Terror-Related Activities on the Web", Journal of Information Warfare, Volume 3, Issue 1, pp. 17-29.
A. Schenker, M. Last, H. Bunke, A. Kandel (2004). "Classification of Web Documents Using Graph Matching", International Journal of Pattern Recognition and Artificial Intelligence, Special Issue on Graph Matching in Computer Vision and Pattern Recognition, Vol. 18, No. 3, pp. 475-496.
M. Last and A. Kandel (2004). “Discovering Useful and Understandable Patterns in Manufacturing Data", Robotics and Autonomous Systems, Vol. 49, Issues 3-4, 31, pp. 137-152.
W. Rodriguez, M. Last, A. Kandel and H. Bunke (2004). “3-Dimensional Curve Similarity Using String Matching", Robotics and Autonomous Systems, Vol. 49, Issues 3-4, 31, pp. 165-172.
M. Last and O. Maimon (2004). “A Compact and Accurate Model for Classification", IEEE Transactions on Knowledge and Data Engineering, Vol. 16, No. 2, pp. 203-215.
J. Wachs, H. Stern, M. Last (2002). “Color Face Segmentation Using a Fuzzy Min-Max Neural Network", International Journal of Image and Graphics (IJIG), Special Issue on soft computing for image and pattern analysis, Vol. 2, No. 4, pp. 587-601.
A. Schenker, M. Last, H. Bunke, and A. Kandel (2002). “Fuzzy Clustering with Genetically Adaptive Scaling", International Journal of Image and Graphics (IJIG), Special Issue on soft computing for image and pattern analysis, Vol. 2, No. 4, pp. 557-572.
M. Last, H. Bunke, and A. Kandel (2002). “A Feature-Based Serial Approach to Classifier Combination", Pattern Analysis and Applications (PAA), No. 5, pp. 385-398.
M. Last (2002). “Online Classification of Nonstationary Data Streams", Intelligent Data Analysis, Vol. 6, No. 2, pp. 129-147.
M. Last and A. Kandel (2002). “Perception-based Analysis of Engineering Experiments in Semiconductor Industry", International Journal of Image and Graphics, Vol. 2, No. 1, pp. 107 – 126.
M. Last, O. Maimon, E. Minkov (2002). “Improving Stability of Decision Trees", International Journal of Pattern Recognition and Artificial Intelligence, Vol. 16, No. 2, pp. 145-159.
M. Vanmali, M. Last, A. Kandel (2002). “Using a Neural Network in the Software Testing Process", International Journal of Intelligent Systems, Vol. 17, No. 1, pp. 45-62.
A. Schenker, M. Last, and A. Kandel (2001). “Evaluation of Fuzzy Rules Extracted from Data", Fuzzy Economic Review, Vol. 6, No. 2, November, pp. 3 - 21.
M. Last, A. Kandel, O. Maimon (2001). “Information-Theoretic Algorithm for Feature Selection", Pattern Recognition Letters, 22 (6-7), pp. 799-811.
A. Schenker, M. Last, and A. Kandel (2001). “Fuzzification of an Object-Oriented Database System", International Journal of Fuzzy Systems, Vol. 3, No. 2, pp. 432-441.
W. Rodriguez, M. Last, A. Kandel and H. Bunke (2001). “Geometric Approach to Data Mining", International Journal of Image and Graphics, Vol. 1, No. 2, pp. 363-386.
M. Last, Y. Klein, A. Kandel (2001) “Knowledge Discovery in Time Series Databases", IEEE Transactions on Systems, Man, and Cybernetics, Volume 31: Part B, No. 1, pp. 160-169.
O. Maimon, A. Kandel, and M. Last (2001). “Information-Theoretic Fuzzy Approach to Data Reliability and Data Mining", Fuzzy Sets and Systems, Vol. 117, No. 2, pp. 183-194.
O. Maimon and M. Last (1997). “Information-efficient control of discrete event stochastic systems", IEEE Transactions on Systems, Man, and Cybernetics, Part A, Vol. 27, No. 1, pp. 23-33.
O. Maimon and M. Last (1994). "Information-Efficient Robotic Control", Robotica, Vol. 12, pp. 157-163.
O. Maimon and M. Last (1993). "Information-Efficient Design of an Automatic Aircraft Maintenance Supervisor", Computers & Operations Research, Vol. 20, No. 4, pp. 421-434.
O. Maimon and M. Last (1992). "FMS Control Design: an Information Value Approach", Journal of Intelligent Manufacturing, Vol. 3, No. 2, pp. 123-132.