Ibrahim Abdelaziz

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 70

Top Topics

Theorem Proving

Semantic Parsing

Top Venues

Proc. VLDB Endow.

EMNLP (Findings)

Publications

Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, GP Bhargav, Maxwell Crouse, Chulaka Gunasekara, Shajith Ikbal, Sachin Joshi, Hima Karanam, Vineet Kumar, Asim Munawar, Sumit Neelam, Dinesh Raghu, Udit Sharma, Adriana Meza Soria, Dheeraj Sreedhar, Praveen Venkateswaran, Merve Unuvar, David Cox, Salim Roukos, Luis A. Lastras, Pavan Kapanipathi
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. CoRR (2024)
Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras
API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs. CoRR (2024)
Mayank Mishra, Matt Stallone, Gaoyuan Zhang, Yikang Shen, Aditya Prasad, Adriana Meza Soria, Michele Merler, Parameswaran Selvam, Saptha Surendran, Shivdeep Singh, Manish Sethi, Xuan-Hong Dang, Pengyuan Li, Kun-Lung Wu, Syed Zawad, Andrew Coleman, Matthew White, Mark Lewis, Raju Pavuluri, Yan Koyfman, Boris Lublinsky, Maximilien de Bayser, Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Yi Zhou, Chris Johnson, Aanchal Goyal, Hima Patel, S. Yousaf Shah, Petros Zerfos, Heiko Ludwig, Asim Munawar, Maxwell Crouse, Pavan Kapanipathi, Shweta Salaria, Bob Calio, Sophia Wen, Seetharami Seelam, Brian Belgodere, Carlos A. Fonseca, Amith Singhee, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda
Granite Code Models: A Family of Open Foundation Models for Code Intelligence. CoRR (2024)
Aamod Khatiwada, Harsha Kokel, Ibrahim Abdelaziz, Subhajit Chaudhury, Julian Dolby, Oktie Hassanzadeh, Zhenhan Huang, Tejaswini Pedapati, Horst Samulowitz, Kavitha Srinivas
TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakes. CoRR (2024)
Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Vernon Austel, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras
API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs. ACL (1) (2024)
Shajith Ikbal, Udit Sharma, Hima Karanam, Sumit Neelam, Ronny Luss, Dheeraj Sreedhar, Pavan Kapanipathi, Naweed Khan, Kyle Erwin, Ndivhuwo Makondo, Ibrahim Abdelaziz, Achille Fokoue, Alexander Gray, Maxwell Crouse, Subhajit Chaudhury, Chitra Subramanian
Self-Supervised Rule Learning to Link Text Segments to Relational Elements of Structured Knowledge. EMNLP (Findings) (2023)
Achille Fokoue, Ibrahim Abdelaziz, Maxwell Crouse, Shajith Ikbal, Akihiro Kishimoto, Guilherme Lima, Ndivhuwo Makondo, Radu Marinescu
An Ensemble Approach for Automated Theorem Proving Based on Efficient Name Invariant Graph Neural Representations. IJCAI (2023)
Ibrahim Abdelaziz, Maxwell Crouse, Bassem Makni, Vernon Austel, Cristina Cornelio, Shajith Ikbal, Pavan Kapanipathi, Ndivhuwo Makondo, Kavitha Srinivas, Michael Witbrock, Achille Fokoue
Learning to Guide a Saturation-Based Theorem Prover. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Kavitha Srinivas, Julian Dolby, Ibrahim Abdelaziz, Oktie Hassanzadeh, Harsha Kokel, Aamod Khatiwada, Tejaswini Pedapati, Subhajit Chaudhury, Horst Samulowitz
LakeBench: Benchmarks for Data Discovery over Data Lakes. CoRR (2023)
Maxwell Crouse, Ibrahim Abdelaziz, Kinjal Basu, Soham Dan, Sadhana Kumaravel, Achille Fokoue, Pavan Kapanipathi, Luis A. Lastras
Formally Specifying the High-Level Behavior of LLM-Based Agents. CoRR (2023)
Achille Fokoue, Ibrahim Abdelaziz, Maxwell Crouse, Shajith Ikbal, Akihiro Kishimoto, Guilherme Lima, Ndivhuwo Makondo, Radu Marinescu
An Ensemble Approach for Automated Theorem Proving Based on Efficient Name Invariant Graph Neural Representations. CoRR (2023)
Ibrahim Abdelaziz, Julian Dolby, Udayan Khurana, Horst Samulowitz, Kavitha Srinivas
DataRinse: Semantic Transforms for Data preparation based on Code Mining. Proc. VLDB Endow. 16 (12) (2023)
Ibrahim Abdelaziz, Julian Dolby, Udayan Khurana, Horst Samulowitz, Kavitha Srinivas
SemFORMS: Automatic Generation of Semantic Transforms By Mining Data Science Code. IJCAI (2023)
Keerthiram Murugesan, Sarathkrishna Swaminathan, Soham Dan, Subhajit Chaudhury, R. Chulaka Gunasekara, Maxwell Crouse, Diwakar Mahajan, Ibrahim Abdelaziz, Achille Fokoue, Pavan Kapanipathi, Salim Roukos, Alexander Gray
MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types. CoRR (2023)
Wenting Zhao, Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas, Mossad Helali, Essam Mansour
Serenity: Library Based Python Code Analysis for Code Completion and Automated Machine Learning. CoRR (2023)
Keerthiram Murugesan, Sarathkrishna Swaminathan, Soham Dan, Subhajit Chaudhury, R. Chulaka Gunasekara, Maxwell Crouse, Diwakar Mahajan, Ibrahim Abdelaziz, Achille Fokoue, Pavan Kapanipathi, Salim Roukos, Alexander Gray
MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types. ACL (Findings) (2023)
Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh K. Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander G. Gray, Guilherme Lima, Ryan Riegel, Francois P. S. Luus, L. Venkata Subramaniam
A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases. CoRR (2022)
Mossad Helali, Essam Mansour, Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas
A Scalable AutoML Approach Based on Graph Neural Networks. Proc. VLDB Endow. 15 (11) (2022)
Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas
Large Scale Generation of Labeled Type Data for Python. CoRR (2022)
Prithviraj Sen, Breno W. S. R. de Carvalho, Ibrahim Abdelaziz, Pavan Kapanipathi, Salim Roukos, Alexander G. Gray
Logical Neural Networks for Knowledge Base Completion with Embeddings & Rules. EMNLP (2022)
Sumit Neelam, Udit Sharma, Sumit Bhatia, Hima Karanam, Ankita Likhyani, Ibrahim Abdelaziz, Achille Fokoue, L. Venkata Subramaniam
Expressive Reasoning Graph Store: A Unified Framework for Managing RDF and Property Graph Databases. CoRR (2022)
Ibrahim Abdelaziz, Julian Dolby, Jamie P. McCusker, Kavitha Srinivas
Can Machines Read Coding Manuals Yet? - A Benchmark for Building Better Language Models for Code Understanding. AAAI (2022)
Dung Thai, Srinivas Ravishankar, Ibrahim Abdelaziz, Mudit Chaudhary, Nandana Mihindukulasooriya, Tahira Naseem, Rajarshi Das, Pavan Kapanipathi, Achille Fokoue, Andrew McCallum
CBR-iKB: A Case-Based Reasoning Approach for Question Answering over Incomplete Knowledge Bases. CoRR (2022)
Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh K. Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander Gray, Guilherme Lima, Ryan Riegel, Francois P. S. Luus, L. Venkata Subramaniam
SYGMA: A System for Generalizable and Modular Question Answering Over Knowledge Bases. EMNLP (Findings) (2022)
Srinivas Ravishankar, Dung Thai, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Tahira Naseem, Pavan Kapanipathi, Gaetano Rossiello, Achille Fokoue
A Two-Stage Approach towards Generalization in Knowledge Base Question Answering. EMNLP (Findings) (2022)
Maxwell Crouse, Constantine Nakos, Ibrahim Abdelaziz, Kenneth D. Forbus
Neural Analogical Matching. AAAI (2021)
Ibrahim Abdelaziz, Maxwell Crouse, Bassem Makni, Vernon Austil, Cristina Cornelio, Shajith Ikbal, Pavan Kapanipathi, Ndivhuwo Makondo, Kavitha Srinivas, Michael Witbrock, Achille Fokoue
Learning to Guide a Saturation-Based Theorem Prover. CoRR (2021)
Gaetano Rossiello, Nandana Mihindukulasooriya, Ibrahim Abdelaziz, Mihaela A. Bornea, Alfio Gliozzo, Tahira Naseem, Pavan Kapanipathi
Generative Relation Linking for Question Answering over Knowledge Bases. ISWC (2021)
Mossad Helali, Essam Mansour, Ibrahim Abdelaziz, Julian Dolby, Kavitha Srinivas
A Scalable AutoML Approach Based on Graph Neural Networks. CoRR (2021)
Maxwell Crouse, Ibrahim Abdelaziz, Bassem Makni, Spencer Whitehead, Cristina Cornelio, Pavan Kapanipathi, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue
A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving. AAAI (2021)
Srinivas Ravishankar, June Thai, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Tahira Naseem, Pavan Kapanipathi, Gaetano Rossillo, Achille Fokoue
A Two-Stage Approach towards Generalization in Knowledge Base Question Answering. CoRR (2021)
Gaetano Rossiello, Nandana Mihindukulasooriya, Ibrahim Abdelaziz, Mihaela A. Bornea, Alfio Gliozzo, Tahira Naseem, Pavan Kapanipathi
Generative Relation Linking for Question Answering over Knowledge Bases. CoRR (2021)
Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander G. Gray, Ramón Fernandez Astudillo, Maria Chang, Cristina Cornelio, Saswati Dana, Achille Fokoue, Dinesh Garg, Alfio Gliozzo, Sairam Gurajada, Hima Karanam, Naweed Khan, Dinesh Khandelwal, Young-Suk Lee, Yunyao Li, Francois P. S. Luus, Ndivhuwo Makondo, Nandana Mihindukulasooriya, Tahira Naseem, Sumit Neelam, Lucian Popa, Revanth Gangi Reddy, Ryan Riegel, Gaetano Rossiello, Udit Sharma, G. P. Shrivatsa Bhargav, Mo Yu
Leveraging Abstract Meaning Representation for Knowledge Base Question Answering. ACL/IJCNLP (Findings) (2021)
Ibrahim Abdelaziz, Srinivas Ravishankar, Pavan Kapanipathi, Salim Roukos, Alexander G. Gray
A Semantic Parsing and Reasoning-Based Approach to Knowledge Base Question Answering. AAAI (2021)
Prithviraj Sen, Breno W. S. R. Carvalho, Ibrahim Abdelaziz, Pavan Kapanipathi, Francois P. S. Luus, Salim Roukos, Alexander G. Gray
Combining Rules and Embeddings via Neuro-Symbolic AI for Knowledge Base Completion. CoRR (2021)
Ibrahim Abdelaziz, Julian Dolby, Jamie P. McCusker, Kavitha Srinivas
A Toolkit for Generating Code Knowledge Graphs. K-CAP (2021)
Tahira Naseem, Srinivas Ravishankar, Nandana Mihindukulasooriya, Ibrahim Abdelaziz, Young-Suk Lee, Pavan Kapanipathi, Salim Roukos, Alfio Gliozzo, Alexander G. Gray
A Semantics-aware Transformer Model of Relation Linking for Knowledge Base Question Answering. ACL/IJCNLP (2) (2021)
Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh K. Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander G. Gray, Guilherme Lima, Ryan Riegel, Francois P. S. Luus, L. Venkata Subramaniam
SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases. CoRR (2021)
Mihaela Bornea, Ramón Fernandez Astudillo, Tahira Naseem, Nandana Mihindukulasooriya, Ibrahim Abdelaziz, Pavan Kapanipathi, Radu Florian, Salim Roukos
Learning to Transpile AMR into SPARQL. CoRR (2021)
Ibrahim Abdelaziz, Julian Dolby, Jamie P. McCusker, Kavitha Srinivas
Can Machines Read Coding Manuals Yet? - A Benchmark for Building Better Language Models for Code Understanding. CoRR (2021)
Ibrahim Abdelaziz, Kavitha Srinivas, Julian Dolby, Jamie P. McCusker
A Demonstration of CodeBreaker: A Machine Interpretable Knowledge Graph for Code. ISWC (Demos/Industry) (2020)
Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander G. Gray, Ramón Fernandez Astudillo, Maria Chang, Cristina Cornelio, Saswati Dana, Achille Fokoue, Dinesh Garg, Alfio Gliozzo, Sairam Gurajada, Hima Karanam, Naweed Khan, Dinesh Khandelwal, Young-Suk Lee, Yunyao Li, Francois P. S. Luus, Ndivhuwo Makondo, Nandana Mihindukulasooriya, Tahira Naseem, Sumit Neelam, Lucian Popa, Revanth Gangi Reddy, Ryan Riegel, Gaetano Rossiello, Udit Sharma, G. P. Shrivatsa Bhargav, Mo Yu
Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning. CoRR (2020)
Nandana Mihindukulasooriya, Gaetano Rossiello, Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Mo Yu, Alfio Gliozzo, Salim Roukos, Alexander G. Gray
Leveraging Semantic Parsing for Relation Linking over Knowledge Bases. CoRR (2020)
Nandana Mihindukulasooriya, Gaetano Rossiello, Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Mo Yu, Alfio Gliozzo, Salim Roukos, Alexander G. Gray
Leveraging Semantic Parsing for Relation Linking over Knowledge Bases. ISWC (1) (2020)
Pavan Kapanipathi, Veronika Thost, Siva Sankalp Patel, Spencer Whitehead, Ibrahim Abdelaziz, Avinash Balakrishnan, Maria Chang, Kshitij P. Fadnis, R. Chulaka Gunasekara, Bassem Makni, Nicholas Mattei, Kartik Talamadupula, Achille Fokoue
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks. AAAI (2020)
Jameel Malik, Ibrahim Abdelaziz, Ahmed Elhayek, Soshi Shimada, Sk Aziz Ali, Vladislav Golyanik, Christian Theobalt, Didier Stricker
HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation from a Single Depth Map. CoRR (2020)
Ibrahim Abdelaziz, Veronika Thost, Maxwell Crouse, Achille Fokoue
An Experimental Study of Formula Embeddings for Automated Theorem Proving in First-Order Logic. CoRR (2020)
Kavitha Srinivas, Ibrahim Abdelaziz, Julian Dolby, Jamie P. McCusker
Graph4Code: A Machine Interpretable Knowledge Graph for Code. CoRR (2020)
Maxwell Crouse, Constantine Nakos, Ibrahim Abdelaziz, Kenneth D. Forbus
Neural Analogical Matching. CoRR (2020)
Jameel Malik, Ibrahim Abdelaziz, Ahmed Elhayek, Soshi Shimada, Sk Aziz Ali, Vladislav Golyanik, Christian Theobalt, Didier Stricker
HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation From a Single Depth Map. CVPR (2020)
Bassem Makni, Ibrahim Abdelaziz, James A. Hendler
Explainable Deep RDFS Reasoner. CoRR (2020)
Ehab Abdelhamid, Ibrahim Abdelaziz, Zuhair Khayyat, Panos Kalnis
Pivoted Subgraph Isomorphism: The Optimist, the Pessimist and the Realist. EDBT (2019)
Fuad T. Jamour, Ibrahim Abdelaziz, Yuanzhao Chen, Panos Kalnis
Matrix Algebra Framework for Portable, Scalable and Efficient Query Engines for RDF Graphs. EuroSys (2019)
Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. AAAI (2019)
Maxwell Crouse, Spencer Whitehead, Ibrahim Abdelaziz, Bassem Makni, Cristina Cornelio, Pavan Kapanipathi, Edwin Pell, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue
A Deep Reinforcement Learning based Approach to Learning Transferable Proof Guidance Strategies. CoRR (2019)
Maxwell Crouse, Ibrahim Abdelaziz, Cristina Cornelio, Veronika Thost, Lingfei Wu, Kenneth D. Forbus, Achille Fokoue
Improving Graph Neural Network Representations of Logical Formulae with Subgraph Pooling. CoRR (2019)
Pavan Kapanipathi, Veronika Thost, Siva Sankalp Patel, Spencer Whitehead, Ibrahim Abdelaziz, Avinash Balakrishnan, Maria Chang, Kshitij P. Fadnis, R. Chulaka Gunasekara, Bassem Makni, Nicholas Mattei, Kartik Talamadupula, Achille Fokoue
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks. CoRR (2019)
Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. CoRR (2018)
Fuad T. Jamour, Ibrahim Abdelaziz, Panos Kalnis
A Demonstration of MAGiQ: Matrix Algebra Approach for Solving RDF Graph Queries. Proc. VLDB Endow. 11 (12) (2018)
Ibrahim Abdelaziz, Essam Mansour, Mourad Ouzzani, Ashraf Aboulnaga, Panos Kalnis
Query Optimizations over Decentralized RDF Graphs. ICDE (2017)
Amedeo Sapio, Ibrahim Abdelaziz, Marco Canini, Panos Kalnis
DAIET: a system for data aggregation inside the network. SoCC (2017)
Ibrahim Abdelaziz, Essam Mansour, Mourad Ouzzani, Ashraf Aboulnaga, Panos Kalnis
Lusail: A System for Querying Linked Data at Scale. Proc. VLDB Endow. 11 (4) (2017)
Ibrahim Abdelaziz, Razen Harbi, Zuhair Khayyat, Panos Kalnis
A Survey and Experimental Comparison of Distributed SPARQL Engines for Very Large RDF Data. Proc. VLDB Endow. 10 (13) (2017)
Amedeo Sapio, Ibrahim Abdelaziz, Abdulla Aldilaijan, Marco Canini, Panos Kalnis
In-Network Computation is a Dumb Idea Whose Time Has Come. HotNets (2017)
Essam Mansour, Ibrahim Abdelaziz, Mourad Ouzzani, Ashraf Aboulnaga, Panos Kalnis
A Demonstration of Lusail: Querying Linked Data at Scale. SIGMOD Conference (2017)
Ibrahim Abdelaziz, Razen Harbi, Semih Salihoglu, Panos Kalnis
Combining Vertex-Centric Graph Processing with SPARQL for Large-Scale RDF Data Analytics. IEEE Trans. Parallel Distributed Syst. 28 (12) (2017)
Ibrahim Abdelaziz, Achille Fokoue, Oktie Hassanzadeh, Ping Zhang, Mohammad Sadoghi
Large-scale structural and textual similarity-based mining of knowledge graph to predict drug-drug interactions. J. Web Semant. 44 (2017)
Razen Al-Harbi, Ibrahim Abdelaziz, Panos Kalnis, Nikos Mamoulis, Yasser Ebrahim, Majed Sahli
Accelerating SPARQL queries by exploiting hash-based locality and adaptive partitioning. VLDB J. 25 (3) (2016)
Ehab Abdelhamid, Ibrahim Abdelaziz, Panos Kalnis, Zuhair Khayyat, Fuad T. Jamour
Scalemine: scalable parallel frequent subgraph mining in a single large graph. SC (2016)
Ibrahim Abdelaziz, Sherif M. Abdou, Hassanin M. Al-Barhamtoshy
A large vocabulary system for Arabic online handwriting recognition. Pattern Anal. Appl. 19 (4) (2016)
Razen Al-Harbi, Ibrahim Abdelaziz, Panos Kalnis, Nikos Mamoulis, Yasser Ebrahim, Majed Sahli
Adaptive Partitioning for Very Large RDF Data. CoRR (2015)
Razen Harbi, Ibrahim Abdelaziz, Panos Kalnis, Nikos Mamoulis
Evaluating SPARQL Queries on Massive RDF Datasets. Proc. VLDB Endow. 8 (12) (2015)
Ibrahim Abdelaziz, Razen Harbi, Semih Salihoglu, Panos Kalnis, Nikos Mamoulis
SPARTex: A Vertex-Centric Framework for RDF Data Analytics. Proc. VLDB Endow. 8 (12) (2015)
Ibrahim Abdelaziz, Sherif M. Abdou
AltecOnDB: A Large-Vocabulary Arabic Online Handwriting Recognition Database. CoRR (2014)
Ibrahim Abdelaziz, Sherif M. Abdou, Hassanin M. Al-Barhamtoshy
Large Vocabulary Arabic Online Handwriting Recognition System. CoRR (2014)