A variational neural architecture for skill-based team formation

R Hamidi Rad, H Fani, E Bagheri, M Kargar… - ACM Transactions on …, 2023 - dl.acm.org
Team formation is concerned with the identification of a group of experts who have a high
likelihood of effectively collaborating with each other to satisfy a collection of input skills …

Pytfl: A python-based neural team formation toolkit

R Hamidi Rad, A Mitha, H Fani, M Kargar… - Proceedings of the 30th …, 2021 - dl.acm.org
We present PyTFL, a library written in Python for the team formation task. In team formation
task, the main objective is to form a team of experts given a set of skills. We demonstrate an …

[PDF][PDF] A Neural Approach to Forming Coherent Teams in Collaboration Networks.

RH Rad, S Seyedsalehi, M Kargar, M Zihayat… - EDBT, 2022 - openproceedings.org
We study team formation whose goal is to form a team of experts who collectively cover a set
of desirable skills. This problem has mainly been addressed either through graph search …

Learning to form skill-based teams of experts

R Hamidi Rad, H Fani, M Kargar, J Szlichta… - Proceedings of the 29th …, 2020 - dl.acm.org
We focus on the composition of teams of experts that collectively cover a set of required
skills based on their historical collaboration network and expertise. Prior works are primarily …

Effective neural team formation via negative samples

A Dashti, S Samet, H Fani - Proceedings of the 31st ACM International …, 2022 - dl.acm.org
Forming teams of experts who collectively hold a set of required skills and can successfully
cooperate is challenging due to the vast pool of feasible candidates with diverse …

Learning heterogeneous subgraph representations for team discovery

R Hamidi Rad, H Nguyen, F Al-Obeidat… - Information Retrieval …, 2023 - Springer
The team discovery task is concerned with finding a group of experts from a collaboration
network who would collectively cover a desirable set of skills. Most prior work for team …

Ustf: A unified system of team formation

X Wang, Z Zhao, W Ng - IEEE Transactions on Big Data, 2016 - ieeexplore.ieee.org
Given a complex task requiring a specific set of skills, it is useful to form a team of experts
who work in a collaborative manner against time and many different costs. Team formation …

Retrieving skill-based teams from collaboration networks

R Hamidi Rad, E Bagheri, M Kargar… - Proceedings of the 44th …, 2021 - dl.acm.org
Given a set of required skills, the objective of the team formation problem is to form a team of
experts that cover the required skills. Most existing approaches are based on graph …

Role and member selection in team formation using resource estimation for large-scale multi-agent systems

M Hayano, D Hamada, T Sugawara - Neurocomputing, 2014 - Elsevier
We propose an efficient team formation method for multi-agent systems consisting of self-
interested agents in task-oriented domains where agents have no prior knowledge of the …

Efficient team formation based on learning and reorganization and influence of communication delay

R Katayanagi, T Sugawara - 2011 IEEE 11th International …, 2011 - ieeexplore.ieee.org
We propose a method of distributed team formation that uses reinforcement learning and
dynamic reorganization by taking into account communication delay in multi-agent systems …