Data Mining for Business Intelligence
Ben Gurion University of the Negev
BGU Main Campus, Abraham Ben David Ohayon Behavioral Sciences Complex, Auditorium 01
July 4th, 2019
The Conference
July 4th, 2019
09:00 am
7th Annual Conference
The seventh DMBI- DataScience@BGU conference, organized by the Department of Software and Information Systems Engineering at Ben-Gurion University of the Negev, aims at bringing together researchers and practitioners in data mining, .data science, machine learning, predictive analytics and related fields, to discuss emerging trends and key issues in research and practical utilization of data science methods for various domains..
The conference speakers include the most respected and knowledgeable data science experts from Academia and Industry that will discuss the state-of-the-art research and practice in machine learning, lessons learned, innovative ideas, and prospects for the future. The DMBI annual conference is preceded by a Data Hackathon whose winners are announced at the conference.
The conference is co-chaired by Prof. Bracha Shapira, Prof. Mark Last and Prof. Lior Rokach
Confirmed Speakers
Confirmed Talks
Keynote: How to Build an AI Team in 10 Lessons, Dr. Barak Chizi, GM Big Data, Data Analytics and AI at KBC (abstract)
Keynote: AI for Public Safety, Mr. Avi Korenblum, founder and CEO of Voyager Labs (abstract)
How to Build Privacy and Security Into Deep Learning Models, Mr. Yishay Carmiel (abstract) (video)
Close Enough But Not More of the Same - Personalized Diversity in Recommender Systems, Dr. Gil Chamiel (abstract) (slides) (video)
Over-Optimization of Academic Publishing Metrics: Observing Goodhart's Law in Action, Dr. Michael Fire (abstract)
Data to the Rescue! Predicting & Preventing Accidents at Sea, Dr. Yonit Hoffman (abstract) (video)
Anomaly Detection by Classifying Random Transformations, Dr. Yedid Hoshen (abstract) (slides) (video)
Osprey: Weak Supervision of Imbalanced Problems without Code, Mr. Avrahami Israeli (abstract) (slides) (video)
Solving the Armadillo Problem – Deep Neural Networks and the Puzzle of Adversarial Learning, Mr. Ziv Katzir (abstract) (slides) (video)
Explainability, Confidence Determination and Resilience to Attacks in Image Based DNN Systems, Dr. Tsvi Lev (abstract) (video)
Deep Learning for Search @ Fiverr, Ms. Asi Messica (abstract) (video)
Autonomous Vehicles Main Challenges: a 20 Minutes Intro to Self-Driving Cars, Dr. Eli Osherovich (abstract) (slides) (video)
Deep Learning for Tabular Data, Mr. Yam Peleg (abstract) (video)
What's Wrong with Hebrew NLP? And How to Make it Right, Dr. Reut Tsarfaty (abstract) (slides) (video)
Program
08:45 - 09:15 – Registration and Refreshments
09:15 - 09:30 – Conference Opening - Prof. Bracha Shapira,
Vice Dean for Research, Faculty of Engineering Science,
SISE - BGU
Session 1 - Machine Learning Buisness Applications – Session Chair – Prof. Lior Rokach
09:30 - 09:50 – Dr. Yonit Hoffman,
Senior Data Scientist at Winward
Data to the Rescue! Predicting & Preventing Accidents at Sea
Keynote: 09:50 - 10:20 – Dr. Barak Chizi,
General Manager Big Data, Data Analytics and AI at KBC GROUP
How to Build an AI Team in 10 Lessons
10:20 - 10:40 – Dr. Eli Osherovich,
Head of Self-Driving Car Labs , Yandex Israel
Autonomous Vehicles Main Challenges: a 20 Minutes Intro to Self-Driving Cars
10:40 - 11:00 – Dr. Michael Fire,
Head of Data Science for Social Good Lab – SISE, BGU
Over-Optimization of Academic Publishing Metrics: Observing Goodhart's Law in Action
11:00 – 11:20 - Coffee Break
Session 2 - Machine Learning for Cyber Security and Public Safety – Session Chair – Prof. Mark Last
Keynote: 11:20 - 11:50 – Mr. Avi Korenblum,
founder and CEO of Voyager Labs
AI for Public Safety
11:50 - 12:10 – Mr. Ziv Katzir,
Ph.D Candidate and Project Leader, Cyber Center@BGU
Solving the Armadillo Problem – Deep Neural Networks and the Puzzle of Adversarial Learning
12:10 - 12:30 – Dr. Yedid Hoshen,
HUJI
Anomaly Detection by Classifying Random Transformations
12:30 - 12:50 – Mr. Yishay Carmiel,
Founder of IntelligentWire
How to Build Privacy and Security Into Deep Learning Models
Hackathon Winners session
12:50- 13:10 – Mr. Nathaniel Shimoni
DMBI Hackathon Winners presentations and award ceremony (video)
13:10 - 14:00 – Lunch and Poster Session
Session 3 - Machine Learning for NLP and Recommender Systems - Session Chair – Dr. Oren Tsur
14:00 -14:20 – Dr. Reut Tsarfaty,
Head of the NLP Lab at the Computer Science Department at the Open University of Israel
What's Wrong with Hebrew NLP? And How to Make it Right
14:20 - 14:40 - Dr. Gil Chamiel,
Director of Data Science and Algorithm Engineering at Taboola
Close Enough But Not More of the Same - Personalized Diversity in Recommender Systems
14:40 – 15:00 - Ms. Asi Messica,
Head of Data-Science @ Fiverr
Deep Learning for Search @ Fiverr
Session 4 - Deep Learning - Session Chair – Prof. Bracha Shapira
15:00 - 15:20 – Mr. Avrahami Israeli,
Senior Data Scientist in Intel's Advanced Analytics Department, Ph.D Candidate-BGU-SISE
Osprey: Weak Supervision of Imbalanced Problems Without Code
15:20 - 15:40 – Mr. Tsvi Lev,
General Manager of NEC Corporation's Israeli Research Center
Explainability, Confidence Determination and Resilience to Attacks in Image Based DNN Systems
15:40-16:00 – Mr. Yam Peleg,
Founder, Deep Trading
Deep Learning for Tabular Data
16:00 – 16:15 – Conference Closing, Prof. Lior Rokach.
Head of SISE Department BGU
Student Posters
A Multi Language Question-Answer Search Engine, Arpana Alka, Indian Institute of Space Science and Technology, Trivandrum, India (Abstract)
The Impact of End-of-Green Application on Driver Behavior, Liran Ben Zion, Department of Industrial Engineering and Management Ben Gurion University of the Negev, Israel (Abstract)
On the Complexity of Traffic Traces, Chen Griner, Communication Systems Engineering Ben Gurion University of the Negev, Israel (Abstract)
Analysis and Prediction of ALS Patient Disease State Using Machine-Learning Algorithms, Ben Hadad, Department of Industrial Engineering and Management Ben Gurion University of the Negev, Israel (Abstract)
Trace Prediction for Software Diagnosis, Eyal Hadad, Department of Software and Information Systems Engineering Ben-Gurion University of the Negev Beer-Sheva, Israel (Abstract)
AutoML: Meta Learning-Based Approach for Pre-Ranking Machine Learning Pipelines, Doron Laadan, Department of Software and Information Systems Engineering Ben-Gurion University of the Negev Beer-Sheva, Israel (Abstract)
Identify Criminals’ Modus Operandi Using Police Reports, Amit Magen, Department of Software and Information Systems Engineering and Ben-Gurion University of the Negev Beer-Sheva, Israel (Abstract)
Algorithm for Learning Latent Variable Models, Yaniv Malowany, Department of Industrial Engineering and Management Ben Gurion University of the Negev, Israel (Abstract)
EEGNAS : Neural Architecture Search for Electroencephalography Data Analysis and Decoding, Elad Rapaport Department of Software and Information Systems Engineering and Ben-Gurion University of the Negev Beer-Sheva, Israel (Abstract)
Sponsors
