Yara Rizk

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 40

Top Topics

Extreme Learning Machines

Process Automation

Recurrent Neural Networks

Conversational Agent

Top Venues

BPM (Blockchain and RPA Forum)

Business Process Management Workshops

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)
Walter Gerych, Yara Rizk, Vatche Isahagian, Vinod Muthusamy, Evelyn Duesterwald, Praveen Venkateswaran
Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-Based Search. AAAI (2024)
Siyu Huo, Kushal Mukherjee, Jayachandu Bandlamudi, Vatche Isahagian, Vinod Muthusamy, Yara Rizk
Accelerating the Support of Conversational Interfaces for RPAs Through APIs. BPM (Blockchain and RPA Forum) (2023)
Burak Aksar, Yara Rizk, Tathagata Chakraborti
TESS: A Multi-intent Parser for Conversational Multi-Agent Systems with Decentralized Natural Language Understanding Models. CoRR (2023)
Ankita Bhaumik, Praveen Venkateswaran, Yara Rizk, Vatche Isahagian
TaskDiff: A Similarity Metric for Task-Oriented Conversations. CoRR (2023)
Vinod Muthusamy, Yara Rizk, Kiran Kate, Praveen Venkateswaran, Vatche Isahagian, Ashu Gulati, Parijat Dube
Towards large language model-based personal agents in the enterprise: Current trends and open problems. EMNLP (Findings) (2023)
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
The biggest business process management problems to solve before we die. Comput. Ind. 146 (2023)
Yara Rizk, Praveen Venkateswaran, Vatche Isahagian, Austin Narcomey, Vinod Muthusamy
A Case for Business Process-Specific Foundation Models. Business Process Management Workshops (2023)
Ankita Bhaumik, Praveen Venkateswaran, Yara Rizk, Vatche Isahagian
TaskDiff: A Similarity Metric for Task-Oriented Conversations. EMNLP (2023)
Siyu Huo, Kushal Mukherjee, Jayachandu Bandlamudi, Vatche Isahagian, Vinod Muthusamy, Yara Rizk
Natural Language Sentence Generation from API Specifications. CoRR (2022)
Yara Rizk, Praveen Venkateswaran, Vatche Isahagian, Vinod Muthusamy, Kartik Talamadupula
Can You Teach Robotic Process Automation Bots New Tricks? BPM (Blockchain and RPA Forum) (2022)
Tathagata Chakraborti, Yara Rizk, Vatche Isahagian, Burak Aksar, Francesco Fuggitti
From Natural Language to Workflows: Towards Emergent Intelligence in Robotic Process Automation. BPM (Blockchain and RPA Forum) (2022)
Praveen Venkateswaran, Vinod Muthusamy, Yara Rizk, Vatche Isahagian
Towards Continual Learning in Interactive Digital Assistants for Process Automation. PMAI@IJCAI (2022)
Yara Rizk, Praveen Venkateswaran, Vatche Isahagian, Vinod Muthusamy
A Case for Business Process-Specific Foundation Models. CoRR (2022)
Julia El Zini, Yara Rizk, Mariette Awad
An Optimized Parallel Implementation of Non-Iteratively Trained Recurrent Neural Networks. J. Artif. Intell. Soft Comput. Res. 11 (1) (2021)
Vinod Muthusamy, Vatche Isahagian, Yara Rizk
Bringing BPM to the Workers: Towards Worker-Centric Management of Business Processes. Problems@BPM (2021)
Sohini Upadhyay, Vatche Isahagian, Vinod Muthusamy, Yara Rizk
Extending LIME for Business Process Automation. CoRR (2021)
Tathagata Chakraborti, Vatche Isahagian, Rania Khalaf, Yasaman Khazaeni, Vinod Muthusamy, Yara Rizk, Merve Unuvar
From Robotic Process Automation to Intelligent Process Automation - - Emerging Trends -. BPM (Blockchain and RPA Forum) (2020)
Julia El Zini, Yara Rizk, Mariette Awad
A Deep Transfer Learning Framework for Seismic Data Analysis: A Case Study on Bright Spot Detection. IEEE Trans. Geosci. Remote. Sens. 58 (5) (2020)
Tathagata Chakraborti, Vatche Isahagian, Rania Khalaf, Yasaman Khazaeni, Vinod Muthusamy, Yara Rizk, Merve Unuvar
From Robotic Process Automation to Intelligent Process Automation: Emerging Trends. CoRR (2020)
Yara Rizk, Vatche Isahagian, Merve Unuvar, Yasaman Khazaeni
A Snooze-less User-Aware Notification System for Proactive Conversational Agents. CoRR (2020)
Yara Rizk, Vatche Isahagian, Merve Unuvar, Yasaman Khazaeni
A Snooze-less User-Aware Notification System for Proactive Conversational Agents. HAI-GEN+user2agent@IUI (2020)
Yara Rizk, Vatche Isahagian, Scott Boag, Yasaman Khazaeni, Merve Unuvar, Vinod Muthusamy, Rania Khalaf
A Conversational Digital Assistant for Intelligent Process Automation. CoRR (2020)
Yara Rizk, Abhishek Bhandwalder, Scott Boag, Tathagata Chakraborti, Vatche Isahagian, Yasaman Khazaeni, Falk Pollock, Merve Unuvar
A Unified Conversational Assistant Framework for Business Process Automation. CoRR (2020)
Sarath Sreedharan, Tathagata Chakraborti, Yara Rizk, Yasaman Khazaeni
Explainable Composition of Aggregated Assistants. CoRR (2020)
Tathagata Chakraborti, Shubham Agarwal, Yasaman Khazaeni, Yara Rizk, Vatche Isahagian
D3BA: A Tool for Optimizing Business Processes Using Non-deterministic Planning. Business Process Management Workshops (2020)
Yara Rizk, Vatche Isahagian, Scott Boag, Yasaman Khazaeni, Merve Unuvar, Vinod Muthusamy, Rania Khalaf
A Conversational Digital Assistant for Intelligent Process Automation. BPM (Blockchain and RPA Forum) (2020)
Yara Rizk, Mariette Awad
On extreme learning machines in sequential and time series prediction: A non-iterative and approximate training algorithm for recurrent neural networks. Neurocomputing 325 (2019)
Julia El Zini, Yara Rizk, Mariette Awad, Jumana Antoun
Towards A Deep Learning Question-Answering Specialized Chatbot for Objective Structured Clinical Examinations. IJCNN (2019)
Julia El Zini, Yara Rizk, Mariette Awad
An Optimized and Energy-Efficient Parallel Implementation of Non-Iteratively Trained Recurrent Neural Networks. CoRR (2019)
Yara Rizk, Mariette Awad
A quantum genetic algorithm for pickup and delivery problems with coalition formation. KES (2019)
Nadine Hajj, Yara Rizk, Mariette Awad
A subjectivity classification framework for sports articles using improved cortical algorithms. Neural Comput. Appl. 31 (11) (2019)
Yara Rizk, Hadi Samer Jomaa, Mariette Awad, Carlos Castillo
A computationally efficient multi-modal classification approach of disaster-related Twitter images. SAC (2019)
Yara Rizk, Mariette Awad, Edward W. Tunstel
Cooperative Heterogeneous Multi-Robot Systems: A Survey. ACM Comput. Surv. 52 (2) (2019)
Hussein Mouzannar, Yara Rizk, Mariette Awad
Damage Identification in Social Media Posts using Multimodal Deep Learning. ISCRAM (2018)
Yara Rizk, Mariette Awad, Edward W. Tunstel
Decision Making in Multiagent Systems: A Survey. IEEE Trans. Cogn. Dev. Syst. 10 (3) (2018)
Yara Rizk, Hmayag Partamian, Mariette Awad
Toward Real-Time Seismic Feature Analysis for Bright Spot Detection: A Distributed Approach. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11 (1) (2018)
Hmayag Partamian, Yara Rizk, Mariette Awad
Barricaded Boundary Minority Oversampling LS-SVM for a Biased Binary Classification. DS (2018)
Hadi S. Jomaa, Yara Rizk, Mariette Awad
Semantic and Visual Cues for Humanitarian Computing of Natural Disaster Damage Images. SITIS (2016)
Hadi S. Jomaa, Mohamad Kamereddine, Ammar Nayal, Yara Rizk, Mariette Awad
Affective Relationship between Color and Text in Arabic Comic Books. SITIS (2016)
Yara Rizk, Mariette Awad
On the Distributed Implementation of Unsupervised Extreme Learning Machines for Big Data. INNS Conference on Big Data (2015)
Nadine Hajj, Yara Rizk, Mariette Awad
A MapReduce Cortical Algorithms Implementation for Unsupervised Learning of Big Data. INNS Conference on Big Data (2015)
Yara Rizk, Nicholas Mitri, Mariette Awad
An ordinal kernel trick for a computationally efficient support vector machine. IJCNN (2014)
Yara Rizk, Nicholas Mitri, Mariette Awad
A local mixture based SVM for an efficient supervised binary classification. IJCNN (2013)