Kareem S. Aggour

34 papers A* 3B 3C 4Misc 1Journal 6Unranked 16

Year	Rank	Type	Title / Venue / Authors
2021	—	`conf`	Big Data Analysis of Massive PMU Datasets: A Data Platform Perspective. ISGT Vijay S. Kumar, Tianyi Wang, Kareem S. Aggour, Pengyuan Wang, Philip J. Hart, Weizhong Yan
2021	—	`conf`	On-demand Knowledge Graphs for Standards-Based Power Grid Data Provisioning. IEA/AIE (2) Vijay S. Kumar, Sharad Dixit, Kareem S. Aggour, Jenny Weisenberg Williams, Paul Cuddihy
2020	A*	`conf`	Adaptive Sketching for Fast and Convergent Canonical Polyadic Decomposition. ICML Alex Gittens, Kareem S. Aggour, Bülent Yener
2020	—	`conf`	FDC Cache: Semantics-driven Federated Caching and Querying for Big Data. IEEE BigData Paul Cuddihy, Jenny Weisenberg Williams, Vijay S. Kumar, Kareem S. Aggour, Andrew Crapo, Sharad Dixit
2019	J	`jnl`	Artificial Intelligence Enabled Material Behavior Prediction. CoRR Timothy Hanlon, Johan Reimann, Monica A. Soare, Anjali Singhal, James Grande, Marc Edgar, Kareem S. Aggour, Joseph Vinciquerra
2019	—	`conf`	Federated Multimodal Big Data Storage & Analytics Platform for Additive Manufacturing. IEEE BigData Kareem S. Aggour, Vijay S. Kumar, Paul Cuddihy, Jenny Weisenberg Williams, Vipul Gupta, Laura Dial, Timothy Hanlon, Justin Gambone, Joseph Vinciquerra
2019	—	`—`	Intelligent and scalable algorithms for canonical polyadic decomposition. Kareem S. Aggour
2019	—	`conf`	NodeGroup: A Knowledge-driven Data Management Abstraction for Industrial Machine Learning. DEEM@SIGMOD Vijay S. Kumar, Paul Cuddihy, Kareem S. Aggour
2018	—	`conf`	Accelerating a Distributed CPD Algorithm for Large Dense, Skewed Tensors. IEEE BigData Kareem S. Aggour, Alex Gittens, Bülent Yener
2018	—	`conf`	SemTK: A Semantics Toolkit for User-friendly SPARQL Generation and Semantic Data Management. ISWC (P&D/Industry/BlueSky) Paul Cuddihy, Justin McHugh, Jenny Weisenberg Williams, Varish Mulwad, Kareem S. Aggour
2017	J	`jnl`	Colt: Concept Lineage Tool for Data Flow Metadata Capture and Analysis. Proc. VLDB Endow. Kareem S. Aggour, Jenny Weisenberg Williams, Justin McHugh, Vijay Kumar
2017	—	`conf`	Integrated access to big data polystores through a knowledge-driven framework. IEEE BigData Justin McHugh, Paul E. Cuddihy, Jenny Weisenberg Williams, Kareem S. Aggour, Vijay S. Kumar, Varish Mulwad
2017	J	`jnl`	SemTK: An Ontology-first, Open Source Semantic Toolkit for Managing and Querying Knowledge Graphs. CoRR Paul Cuddihy, Justin McHugh, Jenny Weisenberg Williams, Varish Mulwad, Kareem S. Aggour
2016	—	`conf`	A machine learning approach to quantifying noise in medical images. Digital Pathology Aritra Chowdhury, Christopher J. Sevinsky, Bülent Yener, Kareem S. Aggour, Steven M. Gustafson
2016	—	`conf`	Adapting to data sparsity for efficient parallel PARAFAC tensor decomposition in Hadoop. IEEE BigData Kareem S. Aggour, Bülent Yener
2015	—	`conf`	A highly parallel next-generation DNA sequencing data analysis pipeline in Hadoop. BIBM Kareem S. Aggour, Vijay S. Kumar, Dipen P. Sangurdekar, Lee A. Newberg, Chinnappa D. Kodira
2015	—	`conf`	Semantics for Big Data access & integration: Improving industrial equipment design through increased data usability. IEEE BigData Jenny Weisenberg Williams, Paul Cuddihy, Justin McHugh, Kareem S. Aggour, Arvind Menon, Steven M. Gustafson, Timothy Healy
2014	—	`conf`	Bridging high velocity and high volume industrial big data through distributed in-memory storage & analytics. IEEE BigData Jenny Weisenberg Williams, Kareem S. Aggour, John Interrante, Justin McHugh, Eric Pool
2013	A*	`conf`	Financing lead triggers: empowering sales reps through knowledge discovery and fusion. KDD Kareem S. Aggour, Bethany Hoogs
2013	B	`conf`	Mining company networks for marketing insights and sales leads. ASONAM Kareem S. Aggour, Bethany Hoogs, Christina Leber, Carry Correia, Deniz Senturk-Doganaksoy
2012	—	`conf`	Applying Cluster Computing to Enable a Large-scale Smart Grid Stability Monitoring Application. HPCC-ICESS John Interrante, Kareem S. Aggour
2007	C	`conf`	Efficient quantum computing simulation through dynamic matrix restructuring and distributed evaluation. CLUSTER Kareem S. Aggour, Robert M. Mattheyses, Joseph Shultz
2007	J	`jnl`	Monitoring key company events through deliberative learning. Inf. Syst. E Bus. Manag. Christina LaComb, John Interrante, Kareem S. Aggour
2006	J	`jnl`	Automating the Underwriting of Insurance Applications. AI Mag. Kareem S. Aggour, Piero P. Bonissone, William Cheetham, Richard P. Messmer
2006	J	`jnl`	Design of local fuzzy models using evolutionary algorithms. Comput. Stat. Data Anal. Piero P. Bonissone, Anil Varma, Kareem S. Aggour, Feng Xue
2005	A*	`conf`	Automating the Underwriting of Insurance Applications. AAAI Kareem S. Aggour, William Cheetham
2005	C	`conf`	Selecting the Best Units in a Fleet: Performance Prediction from Equipment Peers. ICCBR Anil Varma, Kareem S. Aggour, Piero P. Bonissone
2004	—	`conf`	Delegating Authority in a Distributed Information Management System. ICEIS (1) Kareem S. Aggour, Barbara J. Vivier, Janet Arlie Barnett
2003	C	`conf`	ROADS: A Reusable, Optimizable Architecture for Decision Systems. SEKE Kareem S. Aggour, Marc Pavese
2003	C	`conf`	SOFT-CBR: A Self-Optimizing Fuzzy Tool for Case-Based Reasoning. ICCBR Kareem S. Aggour, Marc Pavese, Piero P. Bonissone, William Cheetham
2003	Misc	`conf`	Simulation and verification II: simulating quantum computing: quantum express. WSC Kareem S. Aggour, Renee Guhde, Melvin K. Simmons, Michael J. Simon
2002	B	`conf`	Evolutionary optimization of fuzzy decision systems for automated insurance underwriting. FUZZ-IEEE Piero P. Bonissone, Raj Subbu, Kareem S. Aggour
2001	B	`conf`	Fuzzy Automated Braking System for Collision Prevention. FUZZ-IEEE Piero P. Bonissone, Kareem S. Aggour
1994	—	`conf`	Investigating Data Allocation in Parallel Database Systems. Applied Informatics Kareem S. Aggour