Yara Rizk

According to our database, Yara Rizk authored at least 41 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-Based Search.

Walter Gerych, Yara Rizk, Vatche Isahagian, Vinod Muthusamy, Evelyn Duesterwald, Praveen Venkateswaran

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

The biggest business process management problems to solve before we die.

Iris Beerepoot, Claudio Di Ciccio, Hajo A. Reijers, Stefanie Rinderle-Ma, Wasana Bandara, Andrea Burattin, Diego Calvanese, Tianwa Chen, Izack Cohen, Benoît Depaire, Gemma Di Federico, Marlon Dumas, Christopher G. J. van Dun, Tobias Fehrer, Dominik Andreas Fischer, Avigdor Gal, Marta Indulska, Vatche Isahagian, Christopher Klinkmüller, Wolfgang Kratsch, Henrik Leopold, Amy Van Looy, Hugo A. López, Sanja Lukumbuzya, Jan Mendling, Lara Meyers, Linda Moder, Marco Montali, Vinod Muthusamy, Manfred Reichert, Yara Rizk, Michael Rosemann, Maximilian Röglinger, Shazia Sadiq, Ronny Seiger, Tijs Slaats, Mantas Simkus, Ida Asadi Someh, Barbara Weber, Ingo Weber, Mathias Weske, Francesca Zerbato

Comput. Ind., April, 2023

TESS: A Multi-intent Parser for Conversational Multi-Agent Systems with Decentralized Natural Language Understanding Models.

Burak Aksar, Yara Rizk, Tathagata Chakraborti

CoRR, 2023

Towards large language model-based personal agents in the enterprise: Current trends and open problems.

Vinod Muthusamy, Yara Rizk, Kiran Kate, Praveen Venkateswaran, Vatche Isahagian, Ashu Gulati, Parijat Dube

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

TaskDiff: A Similarity Metric for Task-Oriented Conversations.

Ankita Bhaumik, Praveen Venkateswaran, Yara Rizk, Vatche Isahagian

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Case for Business Process-Specific Foundation Models.

Yara Rizk, Praveen Venkateswaran, Vatche Isahagian, Austin Narcomey, Vinod Muthusamy

Proceedings of the Business Process Management Workshops, 2023

Accelerating the Support of Conversational Interfaces for RPAs Through APIs.

Siyu Huo, Kushal Mukherjee, Jayachandu Bandlamudi, Vatche Isahagian, Vinod Muthusamy, Yara Rizk

Proceedings of the Business Process Management: Blockchain, Robotic Process Automation and Educators Forum, 2023

2022

A Case for Business Process-Specific Foundation Models.

Yara Rizk, Praveen Venkateswaran, Vatche Isahagian, Vinod Muthusamy

CoRR, 2022

Natural Language Sentence Generation from API Specifications.

Siyu Huo, Kushal Mukherjee, Jayachandu Bandlamudi, Vatche Isahagian, Vinod Muthusamy, Yara Rizk

CoRR, 2022

Towards Continual Learning in Interactive Digital Assistants for Process Automation.

Praveen Venkateswaran, Vinod Muthusamy, Yara Rizk, Vatche Isahagian

Proceedings of the Workshop on Process Management in the AI Era (PMAI 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022

Can You Teach Robotic Process Automation Bots New Tricks?

Yara Rizk, Praveen Venkateswaran, Vatche Isahagian, Vinod Muthusamy, Kartik Talamadupula

Proceedings of the Business Process Management: Blockchain, Robotic Process Automation, and Central and Eastern Europe Forum, 2022

From Natural Language to Workflows: Towards Emergent Intelligence in Robotic Process Automation.

Tathagata Chakraborti, Yara Rizk, Vatche Isahagian, Burak Aksar, Francesco Fuggitti

Proceedings of the Business Process Management: Blockchain, Robotic Process Automation, and Central and Eastern Europe Forum, 2022

2021

An Optimized Parallel Implementation of Non-Iteratively Trained Recurrent Neural Networks.

Julia El Zini, Yara Rizk, Mariette Awad

J. Artif. Intell. Soft Comput. Res., 2021

Extending LIME for Business Process Automation.

Sohini Upadhyay, Vatche Isahagian, Vinod Muthusamy, Yara Rizk

CoRR, 2021

Bringing BPM to the Workers: Towards Worker-Centric Management of Business Processes.

Vinod Muthusamy, Vatche Isahagian, Yara Rizk

Proceedings of the International Workshop on BPM Problems to Solve Before We Die (PROBLEMS 2021) co-located with the 19th International Conference on Business Process Management (BPM 2021), 2021

2020

A Deep Transfer Learning Framework for Seismic Data Analysis: A Case Study on Bright Spot Detection.

Julia El Zini, Yara Rizk, Mariette Awad

IEEE Trans. Geosci. Remote. Sens., 2020

Explainable Composition of Aggregated Assistants.

Sarath Sreedharan, Tathagata Chakraborti, Yara Rizk, Yasaman Khazaeni

CoRR, 2020

A Unified Conversational Assistant Framework for Business Process Automation.

Yara Rizk, Abhishek Bhandwalder, Scott Boag, Tathagata Chakraborti, Vatche Isahagian, Yasaman Khazaeni, Falk Pollock, Merve Unuvar

CoRR, 2020

A Snooze-less User-Aware Notification System for Proactive Conversational Agents.

Yara Rizk, Vatche Isahagian, Merve Unuvar, Yasaman Khazaeni

Proceedings of the Joint Proceedings of the Workshops on Human-AI Co-Creation with Generative Models and User-Aware Conversational Agents co-located with 25th International Conference on Intelligent User Interfaces (IUI 2020), 2020

A Conversational Digital Assistant for Intelligent Process Automation.

Yara Rizk, Vatche Isahagian, Scott Boag, Yasaman Khazaeni, Merve Unuvar, Vinod Muthusamy, Rania Khalaf

Proceedings of the Business Process Management: Blockchain and Robotic Process Automation Forum, 2020

From Robotic Process Automation to Intelligent Process Automation - - Emerging Trends -.

Tathagata Chakraborti, Vatche Isahagian, Rania Khalaf, Yasaman Khazaeni, Vinod Muthusamy, Yara Rizk, Merve Unuvar

Proceedings of the Business Process Management: Blockchain and Robotic Process Automation Forum, 2020

D3BA: A Tool for Optimizing Business Processes Using Non-deterministic Planning.

Tathagata Chakraborti, Shubham Agarwal, Yasaman Khazaeni, Yara Rizk, Vatche Isahagian

Proceedings of the Business Process Management Workshops, 2020

2019

A subjectivity classification framework for sports articles using improved cortical algorithms.

Nadine Hajj, Yara Rizk, Mariette Awad

Neural Comput. Appl., 2019

On extreme learning machines in sequential and time series prediction: A non-iterative and approximate training algorithm for recurrent neural networks.

Yara Rizk, Mariette Awad

Neurocomputing, 2019

Cooperative Heterogeneous Multi-Robot Systems: A Survey.

Yara Rizk, Mariette Awad, Edward W. Tunstel

ACM Comput. Surv., 2019

An Optimized and Energy-Efficient Parallel Implementation of Non-Iteratively Trained Recurrent Neural Networks.

Julia El Zini, Yara Rizk, Mariette Awad

CoRR, 2019

A computationally efficient multi-modal classification approach of disaster-related Twitter images.

Yara Rizk, Hadi Samer Jomaa, Mariette Awad, Carlos Castillo

Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

A quantum genetic algorithm for pickup and delivery problems with coalition formation.

Yara Rizk, Mariette Awad

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019

Towards A Deep Learning Question-Answering Specialized Chatbot for Objective Structured Clinical Examinations.

Julia El Zini, Yara Rizk, Mariette Awad, Jumana Antoun

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Multimodal Damage Identification for Humanitarian Computing.

Hussein Mouzannar, Yara Rizk, Mariette Awad

Dataset, May, 2018

Sports articles for objectivity analysis.

Yara Rizk, Mariette Awad

Dataset, April, 2018

Decision Making in Multiagent Systems: A Survey.

Yara Rizk, Mariette Awad, Edward W. Tunstel

IEEE Trans. Cogn. Dev. Syst., 2018

Toward Real-Time Seismic Feature Analysis for Bright Spot Detection: A Distributed Approach.

Yara Rizk, Hmayag Partamian, Mariette Awad

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Damage Identification in Social Media Posts using Multimodal Deep Learning.

Hussein Mouzannar, Yara Rizk, Mariette Awad

Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management, 2018

Barricaded Boundary Minority Oversampling LS-SVM for a Biased Binary Classification.

Hmayag Partamian, Yara Rizk, Mariette Awad

Proceedings of the Discovery Science - 21st International Conference, 2018

2016

Semantic and Visual Cues for Humanitarian Computing of Natural Disaster Damage Images.

Hadi S. Jomaa, Yara Rizk, Mariette Awad

Proceedings of the 12th International Conference on Signal-Image Technology & Internet-Based Systems, 2016

Affective Relationship between Color and Text in Arabic Comic Books.

Hadi S. Jomaa, Mohamad Kamereddine, Ammar Nayal, Yara Rizk, Mariette Awad

Proceedings of the 12th International Conference on Signal-Image Technology & Internet-Based Systems, 2016

2015

On the Distributed Implementation of Unsupervised Extreme Learning Machines for Big Data.

Yara Rizk, Mariette Awad

Proceedings of the INNS Conference on Big Data 2015, 2015

A MapReduce Cortical Algorithms Implementation for Unsupervised Learning of Big Data.

Nadine Hajj, Yara Rizk, Mariette Awad

Proceedings of the INNS Conference on Big Data 2015, 2015

2014

An ordinal kernel trick for a computationally efficient support vector machine.

Yara Rizk, Nicholas Mitri, Mariette Awad

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

A local mixture based SVM for an efficient supervised binary classification.

Yara Rizk, Nicholas Mitri, Mariette Awad

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013