A local mixture based SVM for an efficient supervised binary classification. - Yara Rizk; Nicholas Mitri; Mariette Awad (IJCNN, 2013)

An ordinal kernel trick for a computationally efficient support vector machine. - Yara Rizk; Nicholas Mitri; Mariette Awad (IJCNN, 2014)

A MapReduce Cortical Algorithms Implementation for Unsupervised Learning of Big Data. - Nadine Hajj; Yara Rizk; Mariette Awad (INNS Conference on Big Data, 2015)

On the Distributed Implementation of Unsupervised Extreme Learning Machines for Big Data. - Yara Rizk; Mariette Awad (INNS Conference on Big Data, 2015)

Affective Relationship between Color and Text in Arabic Comic Books. - Hadi S. Jomaa; Mohamad Kamereddine; Ammar Nayal; Yara Rizk; Mariette Awad (SITIS, 2016)

Semantic and Visual Cues for Humanitarian Computing of Natural Disaster Damage Images. - Hadi S. Jomaa; Yara Rizk; Mariette Awad (SITIS, 2016)

Barricaded Boundary Minority Oversampling LS-SVM for a Biased Binary Classification. - Hmayag Partamian; Yara Rizk; Mariette Awad (DS, 2018)

Damage Identification in Social Media Posts using Multimodal Deep Learning. - Hussein Mouzannar; Yara Rizk; Mariette Awad (ISCRAM, 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)

Decision Making in Multiagent Systems: A Survey. - Yara Rizk; Mariette Awad; Edward W. Tunstel (IEEE Trans. Cogn. Dev. Syst., 2018)

Sports articles for objectivity analysis. - Yara Rizk; Mariette Awad (UCI Machine Learning Repository, 2018)

Multimodal Damage Identification for Humanitarian Computing. - Hussein Mouzannar; Yara Rizk; Mariette Awad (UCI Machine Learning Repository, 2018)

Towards A Deep Learning Question-Answering Specialized Chatbot for Objective Structured Clinical Examinations. - Julia El Zini; Yara Rizk; Mariette Awad; Jumana Antoun (IJCNN, 2019)

A quantum genetic algorithm for pickup and delivery problems with coalition formation. - Yara Rizk; Mariette Awad (KES, 2019)

A computationally efficient multi-modal classification approach of disaster-related Twitter images. - Yara Rizk; Hadi Samer Jomaa; Mariette Awad; Carlos Castillo 001 (SAC, 2019)

An Optimized and Energy-Efficient Parallel Implementation of Non-Iteratively Trained Recurrent Neural Networks. - Julia El Zini; Yara Rizk; Mariette Awad (CoRR, 2019)

Cooperative Heterogeneous Multi-Robot Systems: A Survey. - Yara Rizk; Mariette Awad; Edward W. Tunstel (ACM Comput. Surv., 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)

A subjectivity classification framework for sports articles using improved cortical algorithms. - Nadine Hajj; Yara Rizk; Mariette Awad (Neural Comput. Appl., 2019)

D3BA: A Tool for Optimizing Business Processes Using Non-deterministic Planning. - Tathagata Chakraborti; Shubham Agarwal 002; Yasaman Khazaeni; Yara Rizk; Vatche Isahagian (Business Process Management Workshops, 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 (BPM (Blockchain and RPA Forum), 2020)

A Conversational Digital Assistant for Intelligent Process Automation. - Yara Rizk; Vatche Isahagian; Scott Boag; Yasaman Khazaeni; Merve Unuvar; Vinod Muthusamy; Rania Khalaf (BPM (Blockchain and RPA Forum), 2020)

A Snooze-less User-Aware Notification System for Proactive Conversational Agents. - Yara Rizk; Vatche Isahagian; Merve Unuvar; Yasaman Khazaeni (HAI-GEN+user2agent@IUI, 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)

Explainable Composition of Aggregated Assistants. - Sarath Sreedharan; Tathagata Chakraborti; Yara Rizk; Yasaman Khazaeni (CoRR, 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)

Bringing BPM to the Workers: Towards Worker-Centric Management of Business Processes. - Vinod Muthusamy; Vatche Isahagian; Yara Rizk (Problems@BPM, 2021)

Extending LIME for Business Process Automation. - Sohini Upadhyay; Vatche Isahagian; Vinod Muthusamy; Yara Rizk (CoRR, 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)

From Natural Language to Workflows: Towards Emergent Intelligence in Robotic Process Automation. - Tathagata Chakraborti; Yara Rizk; Vatche Isahagian; Burak Aksar; Francesco Fuggitti (BPM (Blockchain and RPA Forum), 2022)

Can You Teach Robotic Process Automation Bots New Tricks? - Yara Rizk; Praveen Venkateswaran; Vatche Isahagian; Vinod Muthusamy; Kartik Talamadupula (BPM (Blockchain and RPA Forum), 2022)

Towards Continual Learning in Interactive Digital Assistants for Process Automation. - Praveen Venkateswaran; Vinod Muthusamy; Yara Rizk; Vatche Isahagian (PMAI@IJCAI, 2022)

Natural Language Sentence Generation from API Specifications. - Siyu Huo; Kushal Mukherjee; Jayachandu Bandlamudi; Vatche Isahagian; Vinod Muthusamy; Yara Rizk (CoRR, 2022)

A Case for Business Process-Specific Foundation Models. - Yara Rizk; Praveen Venkateswaran; Vatche Isahagian; Vinod Muthusamy (CoRR, 2022)

Accelerating the Support of Conversational Interfaces for RPAs Through APIs. - Siyu Huo; Kushal Mukherjee; Jayachandu Bandlamudi; Vatche Isahagian; Vinod Muthusamy; Yara Rizk (BPM (Blockchain and RPA Forum), 2023)

A Case for Business Process-Specific Foundation Models. - Yara Rizk; Praveen Venkateswaran; Vatche Isahagian; Austin Narcomey; Vinod Muthusamy (Business Process Management Workshops, 2023)

TaskDiff: A Similarity Metric for Task-Oriented Conversations. - Ankita Bhaumik; Praveen Venkateswaran; Yara Rizk; Vatche Isahagian (EMNLP, 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 (EMNLP (Findings), 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)

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; et al. (Comput. Ind., 2023)

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 (AAAI, 2024)

Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. - Ibrahim Abdelaziz; Kinjal Basu 002; Mayank Agarwal; Sadhana Kumaravel; Matthew Stallone; Rameswar Panda; Yara Rizk; G. P. Shrivatsa Bhargav; Maxwell Crouse; R. Chulaka Gunasekara; Shajith Ikbal; Sachindra Joshi; et al. (EMNLP (Industry Track), 2024)

Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. - Ibrahim Abdelaziz; Kinjal Basu 002; Mayank Agarwal; Sadhana Kumaravel; Matthew Stallone; Rameswar Panda; Yara Rizk; GP Bhargav; Maxwell Crouse; R. Chulaka Gunasekara; Shajith Ikbal; Sachin Joshi; et al. (CoRR, 2024)

NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls. - Kinjal Basu 002; Ibrahim Abdelaziz; Kelsey Bradford; Maxwell Crouse; Kiran Kate; Sadhana Kumaravel; Saurabh Goyal; Asim Munawar; Yara Rizk; Xin Wang; Luis A. Lastras; Pavan Kapanipathi (CoRR, 2024)

Towards LLMs Robustness to Changes in Prompt Format Styles. - Lilian Ngweta; Kiran Kate; Jason Tsay; Yara Rizk (NAACL (Student Research Workshop), 2025)

LongFuncEval: Measuring the effectiveness of long context models for function calling. - Kiran Kate; Tejaswini Pedapati; Kinjal Basu 002; Yara Rizk; Vijil Chenthamarakshan; Subhajit Chaudhury; Mayank Agarwal; Ibrahim Abdelaziz (CoRR, 2025)